the
Being stranded on a peaceful desert island
the
Being stranded on a peaceful desert island
In 1882,
Wandering the deserts of Egypt
Cape of Good Hope.
The time when all your wishes would come true
the
Your sleepy, tired eyes
era in
Everything that was cool in the '90s
the
Lullaby machines
steam
Swimming in the Arctic ocean
was a
Playing with the children of Africa
4-4-0T of 1882
The moment after a baby is born
The
A warm bed to read stories in
Akár az Értékelés típus, akár a Portfóliószabály változik, új érvényességi dátummal új összerendelés rögzítendő.
Helyes angol szöveg: "Whenever either the Valuation type or the Portfolio rule changes, a new period must be registered with a new validity date."
értékelési szabály, ami az Admin menüben rögzített portfóliószabályok (eltolások, kerekítési szabályok és naptár, devizaárfolyam) közül a portfólióra vonatkozó szabály
valuation rule list from the portfolio rules registered in the Admin menu (offsets, rounding rules, and calendar, currency exchange rates)
A Szabályok cím melletti Kibontás/Összecsukás ikonra kattintva kinyíló szekcióban a Portfóliószabály felületen felvett paraméterek azonos struktúrában megtekinthetőek az alapra vonatkozóan.
Helyes angol szöveg: "In the expandable/collapsible section by clicking the icon next to the "Rules" title the parameters added on the Portfolio rule interface are viewable."
reserve buoyancy
The volume of the hull which is above the water line
Positively stable
The centre of buoyancy is at the centre of the displaced volume.
Stingray earning the highest prices from syndicated television
The Daily Mirror's report on Thunderbirds and Lady Penelope
Allowing students to perform stories in their own, personal language can legitimize and honor their individual ways of speaking in a way school spaces usually don’t.
I feel like if there was more of this in the world, people as a whole but especially the younger crowd, would allow them to be more confident in who they are. I feel like people nowadays are so good at "masking" themselves. Everyone has to pretend to be something they are not, depending on where they are, they change. You become more of something, and less of something else, or vice versa. So much so, at least for me, you start to wonder who you really are. Which mask suits you best? If schools allowed for more self expression, I truly believe that could be one of the places that helps people find themselves.
“there has probably never been a human society in which people did not tell stories”
I completely agree with this because everyone has stories, and as time goes by people have more and more stories to tell about life and all the things that happens in ones life.
“Storytelling involves a particular language and set of relationships; it is a body of knowledge and abilities that are activities only within its happening”
some people are born to tell stories not only does it have to do with having good rapport within your community, you have to be able to act it out and show the emotions needed to tell a story.
Oral storytelling units bank on many students’ natural desire to share stories from their lives. Johnson & Freedman (2001) believe, as we do, that “all elements that are vital to creating a strong community of learners can be found within the people who share classroom space each day. By sharing stories—and allowing students to share theirs—teachers create a community of learners that might just overcome some of the boundaries that keep people apart or alone in the world of school” (p. 43).
I think this portion of the text made me think that in life, all people have stories and that makes them who they are so I completely understand when the quote says "by sharing stories and allowing students to share theirs" really puts emphasize on the fact that we are all trying to connect.
of
Here I am not sure wether the "of" is needed.
(nlme)
The abreviation was introduced before already.
Figure 3.1
The figure has label "Figure 1". Text and captions should be consistent.
chart of the adapted Kinetik-experiment after Flossmann & Richter.
Why you stir for 90 minutes but take the last sample at 60 min? Maybe stir until last measurement?
Unlike the original protocol, a pre-washing step to remove soluble P was not performed
But in the flowchart, the supernantant fluid is also discarded. Isn't this a pre-washing?
Switzerland
Suggestion: across the Swiss Plateau
To manage this challenge,
What challenge? The challenge of disentangling different P fates? Shortly introduce.
The efficacy of P fertilization is often low due to these rapid and competing immobilization processes, and P lost from agricultural fields can become an environmental pollutant, disturbing P-limited aquatic ecosystem
It's a repetition from previous paragraph.
The efficacy of P fertilization is often low due to these rapid immobilization processes, and P lost from agricultural fields can become an environmental pollutant, disturbing P-limited aquatic ecosystems.
Proposition: Make it two sentences and give a little more specifying detail on the second point as for me, it is not clear, if excess soluble or fixed P becomes a problem. Also, the second point can be better introduced, as it is not an evident consequence of the previous content.
The efficacy of P fertilization is often low due to these rapid immobilization processes. Also, soluble/immoblizied P lost from agricultural fields can become an environmental pollutant, disturbing P-limited aquatic ecosystems.
100903 : Verify when the moderator logs in the event manager app, all the events listed should be displayed with date and location
user needs to login first
But I can’t take you now because you are contraband of war and not American citizens yet. But hold on to your society and there may be a chance for you.”
This quote shows the state African Americans were in, where even when they escaped slavery down in the south they were still not considered American citizens but instead contraband or property of war, it also highlights how Abraham Lincoln navigated through this carefully with his words “ right now you are contraband and not yet American citizens” and “ hold on to your society they may be chance a for you”. He doesnt make his complete agenda clear and I guess keeps things fair on both sides, he does this by referring to escaped slaves as contraband but also acknowledging that they’re time for freedom may come soon. This was important because some border states could’ve easily turned and joined the south had he moved too fast on slavery.
Maybe we will look it over at the next SoCal type-in.
https://www.reddit.com/r/typewriters/comments/1n5ytpl/yet_another_typeface_inquiry/
u/HumorPuzzleheaded407 is in/near SoCal
editor or curator.
placing the user in the position of an editor instead of a creator
summary
summaries of certain content give only the most important information, but oftentimes there is contextual information that is necessary in order to fully understand the piece that one is analyzing or reading
specific perspective
this can allow the user to not only view their work from a different perspective, but to take various points of view into account
mere translation between frames or perspectives
i have not really considered the use of AI in professional environments, but in academic areas where plagiarism and cheating with AI are prevalent
brainstorming session
broadens the ideas that could interest someone could use for their project, essay, etc.
AI can be a surprisingly competent co-founder, helping give mentorship while also acting to build the documents, demos, and approaches that are otherwise likely to be outside your experience.
Although I understand that this can make certain things more accessible for people I think its still more ethical to source and pay real people
learn and demonstrate your understanding.
learning and forming opinions by writing them down
replicate and amplify biases;
i hope we can study these biases more in class
The AI product cannot take responsibility,
I don't know if I completely agree with this because AI presents information as if it is completely true. I agree that the work you submit is your responsibility, but AI isn't just used ot complete homework.
Every prompt is wasteful at a time we need to live more sustainably.
Sometimes I wonder why this alone isn't enough reason for people to stop using AI.
they don’t have your voice, your thoughts, your accent
this is why I personally never use AI to generate writing- I enjoy using my own voice
Over the past forty years, the concept of flow hasbeen used in media studies as a conceptually influential,but ultimately limited model for the textual analysisof television content, or more broadly as a metaphorfor postmodern culture, of which television is the ul-timate exemplar.
Over the past 40 years it looks like having a good flow of tv shows like seasons are very important to keep the viewers coming back for more. Each season of a tv show is meet with new and updated media better quality footage that draws the viewers in.
Extending Williams’s claim about how television’sflow was “the central television experience” (1974, 95)that kept us viewing for hours, regardless of particularcontent, the many flows of the Internet today draw usin around the clock
I think it's very noticeable nowadays with "doom scrolling" and how one video can draw you in, and when you break out of the cycle, you notice how much time had truly passed due to how natural the flow was between each video, and ad.
Given the expansion and fragmentation of television,and the rise of digital media (both offline and online),since the 1970s, it is more than appropriate to revisit andreengage with the concept of flow
I wonder how they reengage the concept of flow. Did they talk to a bunch of people, or was it just based on one person's experience?
Another program encourages teachers to observe the communityimmediately outside the school through anthropological ethnography
Community Walk & Study!
He builds hacks, understands the deep relationships of how his hack affects the system, and then extracts this insight in the most minimalistic and well-formulated way possible along with his practical hack.
This is so good advice
Navigating this uncertainty is best done through fast iterations and balancing multiple projects to maximize the chances of a big success.
important
The continuing advent of new technologies brings about new forms of networks. For example, a metropolitan-area network (MAN) could link buildings within a city. BlueTooth and 802.11 devices use wireless technology to communicate over a distance of several feet, in essence creating a personal-area network (PAN) between a phone and a headset or a smartphone and a desktop computer.
This text emphasizes the variety of network types made possible by technological progress. Illustrations consist of:
Metropolitan-Area Networks (MANs): This link has the several structures that is throughout the urban area.
Personal-Area Networks (PANs): Compact wireless networks, such as the Bluetooth or the Wi-Fi (802.11), that connect the devices across the short ranges, for instance, connecting a smartphone to a headset or a computer.
It demonstrates how the networks can be extended from the urban infrastructures to the highly localized, device-to-device connections.
Some systems support proprietary protocols to suit their needs. For an operating system, it is necessary only that a network protocol have an interface device—a network adapter, for example—with a device driver to manage it, as well as software to handle data. These concepts are discussed throughout this book.
This passage emphasizes that distributed systems can use both standard and proprietary network protocols. For an operating system, the main requirement is that the protocol has:
These components ensure that the OS can interact with the network regardless of the specific protocol in use. The details of managing different network protocols are explored throughout the book.
A distributed system is a collection of physically separate, possibly heterogeneous computer systems that are networked to provide users with access to the various resources that the system maintains. Access to a shared resource increases computation speed, functionality, data availability, and reliability. Some operating systems generalize network access as a form of file access, with the details of networking contained in the network interface's device driver. Others make users specifically invoke network functions. Generally, systems contain a mix of the two modes—for example FTP and NFS. The protocols that create a distributed system can greatly affect that system's utility and popularity.
This passage explains how the distributed system as a network for physically seperating (and sometimes heterogeneous) computers which work together to provide the users access to their shared resources. The benefits of such systems include:
1.Increased computation speed – multiple machines can process tasks in parallel. 2.Enhanced functionality – access to diverse resources across the network. 3.Higher data availability and reliability – resources remain accessible even if some nodes fail.
Operating systems handle networked resource access in different ways: some abstract it as file access (hiding networking details via the device driver), while others require users to explicitly invoke network functions. Common protocols like FTP and NFS illustrate this mix. The choice and implementation of these protocols significantly influence the system's utility, performance, and adoption.
Generally, systems contain a mix of the two modes—for example FTP and NFS. The protocols that create a distributed system can greatly affect that system's utility and popularity.
This paragraph highlights that the distributed systems are frequently used to employ a mix of communication or the operational methods. For example:
FTP (File Transfer Protocol): A standard protocol for transferring the files over a network between the computers.
NFS (Network File System): A protocol which is used for the enabling of a computer for retrieving the files across the network as though they were said to be stored locally.
The selection of these protocols will affect both the performance and the acceptance of the distributed system. An appropriately selected combination of the protocols can be used to enhance the system's efficiency, reliability, and the user-friendliness, and also consequently boosting its appeal.
Broadly speaking, virtualization software is one member of a class that also includes emulation. Emulation, which involves simulating computer hardware in software, is typically used when the source CPU type is different from the target CPU type. For example, when Apple switched from the IBM Power CPU to the Intel x86 CPU for its desktop and laptop computers, it included an emulation facility called “Rosetta,” which allowed applications compiled for the IBM CPU to run on the Intel CPU. That same concept can be extended to allow an entire operating system written for one platform to run on another. Emulation comes at a heavy price, however. Every machine-level instruction that runs natively on the source system must be translated to the equivalent function on the target system, frequently resulting in several target instructions. If the source and target CPUs have similar performance levels, the emulated code may run much more slowly than the native code.
This passage explains about the virtualization from the emulation, though both allow software designed for one system to run on another:
Emulation: It simulates the hardware of one of the system in the software on another system.
Use case: Running the software which is compiled for one of the CPU on the different CPU architecture (e.g., Apple’s Rosetta translating the PowerPC instructions for the Intel x86).
Drawback: Performance overhead is said to be high because every source instruction must be translated into one or more of the target instructions, slowing execution compared to the native code.
Virtualization vs. Emulation: Unlike the emulation, the virtualization typically runs on the same CPU architecture as the host, so the performance overhead is said to be lower. Emulation is very essential when the host and the guest architectures differ.
Virtualization allows operating systems to run as applications within other operating systems. At first blush, there seems to be little reason for such functionality. But the virtualization industry is vast and growing, which is a testament to its utility and importance.
This passage introduces virtualization, which lets an operating system run as a guest within another host operating system.
Purpose: While it may seem unnecessary at first, virtualization provides major benefits:
The rapid growth of the virtualization industry highlights its importance in modern computing, including cloud computing, server consolidation, and software testing.
Protection and security require the system to be able to distinguish among all its users. Most operating systems maintain a list of user names and associated user identifiers (user IDs). In Windows parlance, this is a security ID (SID). These numerical IDs are unique, one per user. When a user logs in to the system, the authentication stage determines the appropriate user ID for the user. That user ID is associated with all of the user's processes and threads. When an ID needs to be readable by a user, it is translated back to the user name via the user name list.
This passage explains how operating systems implement user-level protection and security using unique identifiers:
User identification: Every user has a different unique numeric identifier—called a user ID in most of the systems or the security ID (SID) in their Windows.
Authentication: When a user logs in, the system authenticates them and assigns the corresponding ID to all processes and threads they run.
Mapping to names: When a user-visible name is needed, the system translates the numeric ID back to the username using the maintained list.
In short, user IDs allow the OS to consistently track and enforce access permissions for each user** across all processes and system resources.
A system can have adequate protection but still be prone to failure and allow inappropriate access. Consider a user whose authentication information (her means of identifying herself to the system) is stolen. Her data could be copied or deleted, even though file and memory protection are working. It is the job of security to defend a system from external and internal attacks. Such attacks spread across a huge range and include viruses and worms, denial-of-service attacks (which use all of a system's resources and so keep legitimate users out of the system), identity theft, and theft of service (unauthorized use of a system). Prevention of some of these attacks is considered an operating-system function on some systems, while other systems leave it to policy or additional software. Due to the alarming rise in security incidents, operating-system security features are a fast-growing area of research and implementation. We discuss security in Chapter 16.
This text highlights the difference between the protection and the security:
Protection versus security: Defensive measures (such as access limitations on files or memory) prevent unauthorized actions inside the system, yet they cannot avert attacks if a user's credentials are breached. Security tackles these wider risks.
Attack categories: These instances encompass the viruses, worms, denial-of-service (DoS) assaults, identity fraud, and service theft—each one taking advantage of vulnerabilities outside the fundamental security protocols.
Function of the operating system: Certain operating systems include the inherent safeguards, whereas the others depend on the protocols or the extra applications for the of handling security. With such increasing threats, the security has emerged as the primary emphasis in the study and the creation of the operating systems.
Essentially, protection involves creating regulations within the system, while security focuses on safeguarding the system from internal and external threats.
Protection can improve reliability by detecting latent errors at the interfaces between component subsystems. Early detection of interface errors can often prevent contamination of a healthy subsystem by another subsystem that is malfunctioning. Furthermore, an unprotected resource cannot defend against use (or misuse) by an unauthorized or incompetent user. A protection-oriented system provides a means to distinguish between authorized and unauthorized usage, as we discuss in Chapter 17.
This text describes how safeguarding improves the dependability and safety of a system.
1.Error detection: By monitoring the interactions between the subsystems, the protection can quickly detect concealed interface errors, preventing a malfunctioning component from affecting the system's functional areas.
In conclusion, protecting guarantees safety while enhancing the reliability and steadiness of the system.
Protection, then, is any mechanism for controlling the access of processes or users to the resources defined by a computer system. This mechanism must provide means to specify the controls to be imposed and to enforce the controls.
This passage defines protection in computer systems as the mechanism that regulates access to system resources by processes or users. Protection has two key aspects:
In essence, protection is the foundation of system security and resource management.
If a computer system has multiple users and allows the concurrent execution of multiple processes, then access to data must be regulated. For that purpose, mechanisms ensure that files, memory segments, CPU, and other resources can be operated on by only those processes that have gained proper authorization from the operating system. For example, memory-addressing hardware ensures that a process can execute only within its own address space. The timer ensures that no process can gain control of the CPU without eventually relinquishing control. Device-control registers are not accessible to users, so the integrity of the various peripheral devices is protected.
This passage highlights the importance of the one key role of the operating system is that of the hardware abstraction—hiding the low-level differences among the devices from both the users and the higher-level system components. In UNIX, this is achieved using the I/O subsystem, which is normalizes the communication with its various kinds of devices. The operating system offers a consistent interface, enabling programs to execute I/O operations without requiring knowledge of the specific characteristics of each device
One of the purposes of an operating system is to hide the peculiarities of specific hardware devices from the user. For example, in UNIX, the peculiarities of I/O devices are hidden from the bulk of the operating system itself by the I/O subsystem. The I/O subsystem consists of several components:
This passage highlights the importance of the one key role of the operating system is that of the hardware abstraction—hiding the low-level differences among the devices from both the users and the higher-level system components. In UNIX, this is achieved using the I/O subsystem, which is normalizes the communication with its various kinds of devices. The operating system offers a consistent interface, enabling programs to execute I/O operations without requiring knowledge of the specific characteristics of each device
In a distributed environment, the situation becomes even more complex. In this environment, several copies (or replicas) of the same file can be kept on different computers. Since the various replicas may be accessed and updated concurrently, some distributed systems ensure that, when a replica is updated in one place, all other replicas are brought up to date as soon as possible. There are various ways to achieve this guarantee, as we discuss in Chapter 19.
This passage extends the discussion of the data consistency to the distributed systems, where the multiple copies of the same file exist on the different computers. When the updates are occurring on one replica, the system should synchronize all the other replicas to prevent the inconsistencies. Ensuring this requires such specialized replication and the consistency protocols, which are used to handle the concurrent updates and also maintain a coherent view of the data across the network. This highlights the added complexity of maintaining the data integrity in the distributed environments compared to a single, multitasking system.
In a computing environment where only one process executes at a time, this arrangement poses no difficulties, since an access to integer A will always be to the copy at the highest level of the hierarchy. However, in a multitasking environment, where the CPU is switched back and forth among various processes, extreme care must be taken to ensure that, if several processes wish to access A, then each of these processes will obtain the most recently updated value of A.
This passage highlights the challenge of maintaining the data consistency in the multitasking systems. When the multiple processes may be able to access the same data A, each process must see the most recent value, regardless of which level of the memory hierarchy currently holds it. Unlike the single-process systems, where the highest-level copy suffices, the multitasking systems are said to require the mechanisms—such as the cache coherence protocols or the memory barriers—to prevent the processes from reading such stale data. This ensures that the correctness when the CPU time is shared among processes.
In a hierarchical storage structure, the same data may appear in different levels of the storage system. For example, suppose that an integer A that is to be incremented by 1 is located in file B, and file B resides on hard disk. The increment operation proceeds by first issuing an I/O operation to copy the disk block on which A resides to main memory. This operation is followed by copying A to the cache and to an internal register. Thus, the copy of A appears in several places: on the hard disk, in main memory, in the cache, and in an internal register (see Figure 1.15). Once the increment takes place in the internal register, the value of A differs in the various storage systems. The value of A becomes the same only after the new value of A is written from the internal register back to the hard disk.
This passage illustrates data replication across the storage hierarchy. An individual data element, like the integer A, can be considered to exist at the same time across various storage levels: on the disk, in the main memory, in the cache, and within the CPU register. Changes happen initially in the quickest storage (register) before moving back to slower layers. The final value of A is consistent across all levels only after it is written back from the register to memory and disk. This demonstrates the principle of temporal locality and consistency management in hierarchical storage systems.
The movement of information between levels of a storage hierarchy may be either explicit or implicit, depending on the hardware design and the controlling operating-system software. For instance, data transfer from cache to CPU and registers is usually a hardware function, with no operating-system intervention. In contrast, transfer of data from disk to memory is usually controlled by the operating system.
Data movement in a storage hierarchy can be used either by the automatic (hardware-controlled) or managed by the operating system. For example, transfers from the CPU caches to the registers happen to be automatically via hardware, while the transfers from the disk to the main memory are usually initiated and managed by the operating system. This distinction highlights how some storage operations are transparent to software, whereas others require OS intervention.
Other caches are implemented totally in hardware. For instance, most systems have an instruction cache to hold the instructions expected to be executed next. Without this cache, the CPU would have to wait several cycles while an instruction was fetched from main memory. For similar reasons, most systems have one or more high-speed data caches in the memory hierarchy. We are not concerned with these hardware-only caches in this text, since they are outside the control of the operating system.
Some caches exist entirely in hardware and are transparent to the operating system. Examples include the instruction caches, which are used to store the upcoming instructions for preventing the CPU delays, and the high-speed data caches within the memory hierarchy. These caches are used to improve the performance by reducing the time the CPU waits for the memory accesses, but their management is handled by the hardware, not the operating system.
In addition, internal programmable registers provide a high-speed cache for main memory. The programmer (or compiler) implements the register-allocation and register-replacement algorithms to decide which information to keep in registers and which to keep in main memory.
Registers act as the fastest form of memory within a CPU, providing a high-speed cache for main memory. Programmers or compilers manage which values are kept in registers versus main memory using register-allocation and register-replacement algorithms. This careful management optimizes performance by keeping the most frequently accessed data in the fastest storage.
Caching is an important principle of computer systems. Here's how it works. Information is normally kept in some storage system (such as main memory). As it is used, it is copied into a faster storage system—the cache—on a temporary basis. When we need a particular piece of information, we first check whether it is in the cache. If it is, we use the information directly from the cache. If it is not, we use the information from the source, putting a copy in the cache under the assumption that we will need it again soon.
Caching improves the system performance by storing the frequently used data in a faster, smaller memory (the cache). When a program is meant to need the information, the system is used to first check the cache—if the data is present (cache hit), how it can be used immediately, saving time. If the data is said to be absent (cache miss), then it is fetched from the slower main memory or the storage and also copied into the cache, thus anticipating future use. This principle reduces the access time for the repeatedly used data.
Tertiary storage is not crucial to system performance, but it still must be managed. Some operating systems take on this task, while others leave tertiary-storage management to application programs. Some of the functions that operating systems can provide include mounting and unmounting media in devices, allocating and freeing the devices for exclusive use by processes, and migrating data from secondary to tertiary storage.
Tertiary storage—such as the magnetic tapes or the optical disks—is slower and also used mainly for its backup or the archival purposes, so that it has less impact on the system performance than the primary or the secondary storage. Operating systems may be used to manage the tertiary storage by mounting/unmounting media, controlling access, and moving data between secondary and tertiary storage, though some systems leave these tasks to applications. This ensures proper organization and availability of less frequently accessed data.
Because secondary storage is used frequently and extensively, it must be used efficiently. The entire speed of operation of a computer may hinge on the speeds of the secondary storage subsystem and the algorithms that manipulate that subsystem.
Secondary storage performance has the direct impact on the overall system efficiency. Since the programs are frequently used for reading from and writing to these devices, both the hardware speed (HDD, SSD, etc.) and the operating system algorithms that are used to manage the data placement, retrieval, and the caching are critical. Efficient use of the secondary storage can greatly affect the computer’s overall speed and its responsiveness.
As we have already seen, the computer system must provide secondary storage to back up main memory. Most modern computer systems use HDDs and NVM devices as the principal on-line storage media for both programs and data. Most programs—including compilers, web browsers, word processors, and games—are stored on these devices until loaded into memory. The programs then use the devices as both the source and the destination of their processing. Hence, the proper management of secondary storage is of central importance to a computer system. The operating system is responsible for the following activities in connection with secondary storage management:
Secondary storage (like HDDs and NVM devices) serves as persistent storage for programs and data, backing up the volatile main memory. Programs—such as compilers, browsers, and games—reside on these devices until loaded into RAM and continue to read from or write to them during execution.
The operating system implements the abstract concept of a file by managing mass storage media and the devices that control them. In addition, files are normally organized into directories to make them easier to use. Finally, when multiple users have access to files, it may be desirable to control which user may access a file and how that user may access it (for example, read, write, append).
The operating system turns the abstract idea of a file into a practical system by managing storage devices and the data on them. To improve the usability, the files are usually organized into the directories (or folders). When the multiple users share the system, the OS also provides the access control, specifying who can read, write, or modify each of the file.
A file is a collection of related information defined by its creator. Commonly, files represent programs (both source and object forms) and data. Data files may be numeric, alphabetic, alphanumeric, or binary. Files may be free-form (for example, text files), or they may be formatted rigidly (for example, fixed fields such as an mp3 music file). Clearly, the concept of a file is an extremely general one.
A file is a structured collection of related information created by a user or program. Files can store programs (source or executable) or data in various forms—numeric, text, or binary. They may be free-form, like plain text, or structured, like an MP3 or database record. The idea of a file is broad, serving as the primary means to organize, store, and access information in a computer system.
To make the computer system convenient for users, the operating system provides a uniform, logical view of information storage. The operating system abstracts from the physical properties of its storage devices to define a logical storage unit, the file. The operating system maps files onto physical media and accesses these files via the storage devices.
Operating systems are used to simplify the data storage for the users by providing the logical, uniform view of the storage. They abstract away the physical details of the disks or the other devices and also organize the data into the files. The OS handles the mapping of these files onto the physical storage and manages its access, so that the users and the programs are there to interact with the files without needing to know how or where the data is physically being stored.
To improve both the utilization of the CPU and the speed of the computer's response to its users, general-purpose computers must keep several programs in memory, creating a need for memory management. Many different memory-management schemes are used. These schemes reflect various approaches, and the effectiveness of any given algorithm depends on the situation. In selecting a memory-management scheme for a specific system, we must take into account many factors—especially the hardware design of the system. Each algorithm requires its own hardware support.
Modern computers improve CPU utilization and responsiveness by keeping multiple programs in memory simultaneously, which necessitates memory management. Various types of the memory-management schemes exist, each with its advantages and their limitations. Choosing the right scheme depends on system hardware and the requirements of the operating system, as every scheme often needs the specific hardware support to function efficiently.
For a program to be executed, it must be mapped to absolute addresses and loaded into memory. As the program executes, it accesses program instructions and data from memory by generating these absolute addresses. Eventually, the program terminates, its memory space is declared available, and the next program can be loaded and executed.
Before the execution, a program’s instructions and the data are assigned the absolute memory addresses and loaded into the main memory. During its execution, the CPU accesses these types of instructions and the data by using those addresses. When the program gets finished , the operating system reclaims the memory, making it available for the next program.
Touch-Screen Interface
traditional input devices such as a keyboard or mouse, a touch-screen interface allows users to interact directly with what they see on the display. By using simple gestures like tapping, swiping, or pinching the user can give commands and control applications without the need for extra hardware. This approach is widely used in smartphones, tablets, ATMs, and kiosks because it feels natural and easy to learn. The main benefit of a touch-screen interface is that it creates a more intuitive and hands-on experience, making technology accessible to people of all ages.
Graphical User Interface
Graphical User Interface is a type of user interface that allows people to interact with a computer system using visual elements like windows, icons, buttons, and menus instead of only typing text commands. It makes computers easier to use because users can click, drag, or tap to perform actions rather than remembering complex commands. Common examples include the interfaces of Windows, macOS, and Linux desktops, where tasks such as opening files, running programs, or adjusting settings can be done with simple mouse clicks or touch gestures. In short, a GUI provides a more user-friendly and intuitive way to work with computers.
The main function of the command interpreter is to get and execute the next user-specified command. Many of the commands given at this level manipulate files: create, delete, list, print, copy, execute, and so on. The various shells available on UNIX systems operate in this way. These commands can be implemented in two general ways.
The main function of a command interpreter, or shell, is to read user commands and execute them. Many of these commands are related to file operations such as creating, deleting, copying, listing, or executing files. These commands can be implemented in two ways. Some are built directly into the interpreter, which means they are executed immediately without starting a new process; for example, commands like cd in UNIX shells. Others are implemented as separate programs, where the shell searches for the command in the system, loads the corresponding executable file, and runs it, such as the ls command in UNIX. Together, these methods allow flexibility and efficiency in handling user requests.
Logging. We want to keep track of which programs use how much and what kinds of computer resources. This record keeping may be used for accounting (so that users can be billed) o
Logging is the process of keeping a record of which programs or users are using computer resources, how much they are using, and what kinds of resources they access. These logs can be used for accounting, where users may be billed for their usage, as well as for monitoring system performance, detecting errors, and ensuring security. In simple terms, logging helps track activities in a system so administrators can analyze usage, identify problems, and maintain accountability.
Communications. There are many circumstances in which one process needs to exchange information with another process. Such communication may occur between processes that are executing on the same computer or between processes that are executing on different computer systems tied together by a network. Communications may be implemented via shared memory, in which two or more processes read and write to a shared section of memory, or message passing, in which pac
I understand that communication in computers means processes sharing information with each other, either within the same system or over a network. This can be done through shared memory, where processes use a common memory space, or through message passing, where data is sent as messages between processes. Communication is important because it allows coordination, resource sharing, and smooth functioning of applications, especially in distributed systems and networking.
A process is the unit of work in a system. A system consists of a collection of processes, some of which are operating-system processes (those that execute system code) and the rest of which are user processes (those that execute user code). All these processes can potentially execute concurrently—by multiplexing on a single CPU core—or in parallel across multiple CPU cores.
A process serves as the fundamental unit of operation within a computer system. Systems execute multiple processes simultaneously, encompassing operating-system processes (that oversee the system) and user processes (that run user applications). On a single CPU, processes take turns quickly through multiplexing, whereas on multiple CPU cores, they can execute simultaneously, performing various tasks concurrently
A process needs certain resources—including CPU time, memory, files, and I/O devices—to accomplish its task. These resources are typically allocated to the process while it is running. In addition to the various physical and logical resources that a process obtains when it is created, various initialization data (input) may be passed along. For example, consider a process running a web browser whose function is to display the contents of a web page on a screen. The process will be given the URL as an input and will execute the appropriate instructions and system calls to obtain and display the desired information on the screen. When the process terminates, the operating system will reclaim any reusable resources.
A process needs the resources such as the CPU time, memory, files, and the I/O devices to execute its functions. These resources are assigned when the process executes, and it may also obtain the input data to direct its operation—for example, a web browser process receives the URL to show the web page. Once the process is complete, the OS retrieves its resources for use by other processes
A program can do nothing unless its instructions are executed by a CPU. A program in execution, as mentioned, is a process. A program such as a compiler is a process, and a word-processing program being run by an individual user on a PC is a process. Similarly, a social media app on a mobile device is a process. For now, you can consider a process to be an instance of a program in execution, but later you will see that the concept is more general. As described in Chapter 3, it is possible to provide system calls that allow processes to create subprocesses to execute concurrently.
A process is merely the program that is actively executing on the CPU. For instance, the PC's word processor, a compiler, or a social media application on a phone are all processes while they run. Fundamentally, a process represents an active occurrence of a program, and processes are capable of generating subprocesses that operate simultaneously, enabling multiple tasks to be performed concurrently
Before turning over control to the user, the operating system ensures that the timer is set to interrupt. If the timer interrupts, control transfers automatically to the operating system, which may treat the interrupt as a fatal error or may give the program more time. Clearly, instructions that modify the content of the timer are privileged.
Before running the user program, the OS sets the timer which can interrupt the program after a certain time. When the timer is said to goes off, then the control returns to the OS, which can decide whether the program has used too much time or needs more. Only the OS can modify the timer because changing it could let a user program bypass CPU control, so instructions that alter the timer are privileged.
System calls provide the means for a user program to ask the operating system to perform tasks reserved for the operating system on the user program's behalf. A system call is invoked in a variety of ways, depending on the functionality provided by the underlying processor. In all forms, it is the method used by a process to request action by the operating system. A system call usually takes the form of a trap to a specific location in the interrupt vector. This trap can be executed by a generic trap instruction, although some systems have a specific syscall instruction to invoke a system call.
System calls are used to allow the user programs to request the operating system for executing the tasks such that the program cannot be used to perform alone, like accessing files or sending data across the network. They function by triggering the trap that briefly switches the CPU from user mode to kernel mode, allowing the OS to securely execute the requested operation. Depending on the processor, this trap may use the general instruction or a specific system call instruction.
The concept of modes can be extended beyond two modes. For example, Intel processors have four separate protection rings, where ring 0 is kernel mode and ring 3 is user mode. (Although rings 1 and 2 could be used for various operating-system services, in practice they are rarely used.) ARM v8 systems have seven modes. CPUs that support virtualization (Section 18.1) frequently have a separate mode to indicate when the virtual machine manager (VMM) is in control of the system. In this mode, the VMM has more privileges than user processes but fewer than the kernel. It needs that level of privilege so it can create and manage virtual machines, changing the CPU state to do so.
Some processors support more than just kernel and user modes. For example, Intel CPUs use four “protection rings,” with ring 0 being full-access kernel mode and ring 3 being restricted user mode. Rings 1 and 2 exist but are rarely used. ARM v8 has seven modes, and CPUs that run virtual machines often include a virtual machine manager (VMM) mode, which sits between user and kernel privileges. This allows the VMM to safely control virtual machines without having full kernel access.
At system boot time, the hardware starts in kernel mode. The operating system is then loaded and starts user applications in user mode. Whenever a trap or interrupt occurs, the hardware switches from user mode to kernel mode (that is, changes the state of the mode bit to 0). Thus, whenever the operating system gains control of the computer, it is in kernel mode. The system always switches to user mode (by setting the mode bit to 1) before passing control to a user program.
Upon booting, the computer initiates in kernel mode, granting the OS complete authority over the hardware. Once the OS is said to be loaded, the user applications operate in the user mode, which has the limited access. When an interrupt or the trap occurs (such as an error or system call), the hardware returns to the kernel mode, allowing the OS to manage it securely. Before handing control back to a user program, the system reverts to user mode
Since the operating system and its users share the hardware and software resources of the computer system, a properly designed operating system must ensure that an incorrect (or malicious) program cannot cause other programs—or the operating system itself—to execute incorrectly. In order to ensure the proper execution of the system, we must be able to distinguish between the execution of operating-system code and user-defined code. The approach taken by most computer systems is to provide hardware support that allows differentiation among various modes of execution.
Since the operating system and the user applications are said to utilize the same computer, it is essential for the OS to safeguard itself and the other programs from the faulty or the harmful code. To achieve this, the majority of the systems are meant to utilize hardware-supported execution modes that distinguish operating-system code from user code. This guarantees that user applications cannot inadvertently—or deliberately—disturb the OS or other applications, maintaining the system's stability and also security
In a multitasking system, the operating system must ensure reasonable response time. A common method for doing so is virtual memory, a technique that allows the execution of a process that is not completely in memory (Chapter 10). The main advantage of this scheme is that it enables users to run programs that are larger than actual physical memory. Further, it abstracts main memory into a large, uniform array of storage, separating logical memory as viewed by the user from physical memory. This arrangement frees programmers from concern over memory-storage limitations.
Virtual memory is like giving each of the program the illusion of having its own huge memory space, even if the computer’s physical RAM is said to be limited. It allows the system to temporarily use the disk storage to the extend memory, so that the larger programs can run without worrying about the fitting into the actual RAM. This not only makes the multitasking smoother (faster response times) but also frees programmers from needing to manage memory details themselves.
Multitasking is a logical extension of multiprogramming. In multitasking systems, the CPU executes multiple processes by switching among them, but the switches occur frequently, providing the user with a fast response time. Consider that when a process executes, it typically executes for only a short time before it either finishes or needs to perform I/O. I/O may be interactive; that is, output goes to a display for the user, and input comes from a user keyboard, mouse, or touch screen. Since interactive I/O typically runs at “people speeds,” it may take a long time to complete. Input, for example, may be bounded by the user's typing speed; seven characters per second is fast for people but incredibly slow for computers. Rather than let the CPU sit idle as this interactive input takes place, the operating system will rapidly switch the CPU to another process.
Multitasking builds on the multiprogramming by making the process switching much faster and also more frequent. This gives the illusion such that the multiple programs are running at the same time, even though the CPU is just switching rapidly betweenthem. For example, while one program is waiting for the slow input from the keyboard or the mouse (at human speed), the CPU quickly moves to the another program instead of just sitting idle.
This idea is common in other life situations. A lawyer does not work for only one client at a time, for example. While one case is waiting to go to trial or have papers typed, the lawyer can work on another case. If she has enough clients, the lawyer will never be idle for lack of work. (Idle lawyers tend to become politicians, so there is a certain social value in keeping lawyers busy.)
The book uses a lawyer as an analogy for multiprogramming. Just like the lawyer doesn’t have to handle only one case at a time—she switches between the cases while waiting on paperwork or trial dates—a computer doesn’t run just one program at once. When one program is waiting, the CPU works on another. This ensures the system (and the lawyer) is always busy and productive.
One of the most important aspects of operating systems is the ability to run multiple programs, as a single program cannot, in general, keep either the CPU or the I/O devices busy at all times. Furthermore, users typically want to run more than one program at a time as well. Multiprogramming increases CPU utilization, as well as keeping users satisfied, by organizing programs so that the CPU always has one to execute. In a multiprogrammed system, a program in execution is termed a process.
A major task of the operating system is to ensure the computer stays active and doesn't remain idle. One program cannot constantly engage both the CPU and input/output devices. This is why contemporary systems support multiprogramming—executing multiple programs simultaneously. In this manner, while one program is idle (for instance, awaiting data from the disk), the CPU can process another. This maintains system efficiency and ensures user satisfaction
If there are no processes to execute, no I/O devices to service, and no users to whom to respond, an operating system will sit quietly, waiting for something to happen. Events are almost always signaled by the occurrence of an interrupt. In Section 1.2.1 we described hardware interrupts. Another form of interrupt is a trap (or an exception), which is a software-generated interrupt caused either by an error (for example, division by zero or invalid memory access) or by a specific request from a user program that an operating-system service be performed by executing a special operation called a system call.
If nothing is happening—no programs to run, no input/output to handle, no user activity—the operating system just waits. Something new usually starts with an interrupt. Hardware interrupts come from the devices (like a keyboard press), but there are also software interrupts, called the traps (or exceptions). Traps are said to happen when the program causes an error (like dividing by zero or accessing the memory it shouldn’t) or when the program requests the help from an operating system. That request is called a system call, which is like the program raising its hand and asking the OS to step in.
Once the kernel is loaded and executing, it can start providing services to the system and its users. Some services are provided outside of the kernel by system programs that are loaded into memory at boot time to become system daemons, which run the entire time the kernel is running. On Linux, the first system program is “systemd,” and it starts many other daemons. Once this phase is complete, the system is fully booted, and the system waits for some event to occur.
Once the kernel has completed loading, the operating system starts providing its services. Some of the services are reported to stem from the system programs (referred to as daemons) which start right after the boot process. These daemons keep on functioning in the background as long as the system remains to be active. In Linux, for example, the main system program is programmed, which is then starts various other daemons crucial for the system's functionality. Once all configurations are complete, the computer is considered fully functional and merely awaits events (like user interactions or assignments) to take place.
Now that we have discussed basic information about computer-system organization and architecture, we are ready to talk about operating systems. An operating system provides the environment within which programs are executed. Internally, operating systems vary greatly, since they are organized along many different lines. There are, however, many commonalities, which we consider in this section.
Having discussed the construction and arrangement of computers, we can now turn our attention to the operating system (OS) itself. The operating system is the software framework that creates the environment for all applications to operate. Despite the differences in appearance and functionality, operating systems have numerous similar characteristics. This part will emphasize the common characteristics and describe the function an OS serves in enabling the overall computer system to be functional
Other forms of clusters include parallel clusters and clustering over a wide-area network (WAN) (as described in Chapter 19). Parallel clusters allow multiple hosts to access the same data on shared storage. Because most operating systems lack support for simultaneous data access by multiple hosts, parallel clusters usually require the use of special versions of software and special releases of applications. For example, Oracle Real Application Cluster is a version of Oracle's database that has been designed to run on a parallel cluster. Each machine runs Oracle, and a layer of software tracks access to the shared disk. Each machine has full access to all data in the database. To provide this shared access, the system must also supply access control and locking to ensure that no conflicting operations occur. This function, commonly known as a distributed lock manager (DLM), is included in some cluster technology.
Clusters may appear in various configurations, including parallel clusters and WAN-based clusters. A parallel cluster enables several computers (hosts) to access identical data located on shared storage. However, because most operating systems don’t inherently permit multiple machines to access the same data simultaneously, specialized software is required. For example, the Oracle Real Application Cluster (RAC) serves this purpose, allowing different servers to work together with Oracle and access the same kind of database.To avoid problems (like two servers trying to alter the same data at once), the system employs a distributed lock manager (DLM)—a method that guarantees data changes take place in an organized way
Since a cluster consists of several computer systems connected via a network, clusters can also be used to provide high-performance computing environments. Such systems can supply significantly greater computational power than single-processor or even SMP systems because they can run an application concurrently on all computers in the cluster. The application must have been written specifically to take advantage of the cluster, however. This involves a technique known as parallelization, which divides a program into separate components that run in parallel on individual cores in a computer or computers in a cluster
Clusters are utilized not just to boost the reliability but also for the high-performance computing (HPC). By connecting the different systems, clusters can offer much higher computing power when compared to the single machine or even the symmetric multiprocessing (SMP) setup. This method is considered effective only when the application is crafted for the parallel processing, meaning it involves the breaking the program into smaller pieces that can run simultaneously on the different cores or machines in the cluster
Clustering can be structured asymmetrically or symmetrically. In asymmetric clustering, one machine is in hot-standby mode while the other is running the applications. The hot-standby host machine does nothing but monitor the active server. If that server fails, the hot-standby host becomes the active server. In symmetric clustering, two or more hosts are running applications and are monitoring each other. This structure is obviously more efficient, as it uses all of the available hardware. However, it does require that more than one application be available to run.
This part evaluates asymmetric and symmetric clustering. In asymmetric clustering, one server operates actively while another remains on standby, prepared to assume control if the active server experiences a failure. In symmetric clustering, every server operates applications while observing one another, which is more effective as all hardware is utilized, though it necessitates several applications to distribute the workload.
High availability provides increased reliability, which is crucial in many applications. The ability to continue providing service proportional to the level of surviving hardware is called graceful degradation. Some systems go beyond graceful degradation and are called fault tolerant, because they can suffer a failure of any single component and still continue operation. Fault tolerance requires a mechanism to allow the failure to be detected, diagnosed, and, if possible, corrected.
This passage describes high availability, graceful degradation, and fault tolerance. Improved availability increases system reliability. Graceful degradation allows for the system to be able to function based on the hardware which is said to be accessible. Fault-tolerant systems are capable of enduring the failure of any individual component by utilizing techniques to detect, assess, and rectify problems
Clustering is usually used to provide high-availability service—that is, service that will continue even if one or more systems in the cluster fail. Generally, we obtain high availability by adding a level of redundancy in the system. A layer of cluster software runs on the cluster nodes. Each node can monitor one or more of the others (over the network). If the monitored machine fails, the monitoring machine can take ownership of its storage and restart the applications that were running on the failed machine. The users and clients of the applications see only a brief interruption of service.
This section describes clustered multiprocessor architectures, comprising several individual systems (nodes), frequently multicore, linked to function collaboratively. They are loosely interconnected, usually share storage, and exchange information through a LAN or high-speed connection such as InfiniBand. Cluster definitions differ, but the main difference lies in the node-based architecture compared to closely integrated multiprocessors.
Another type of multiprocessor system is a clustered system, which gathers together multiple CPUs. Clustered systems differ from the multiprocessor systems described in Section 1.3.2 in that they are composed of two or more individual systems—or nodes—joined together; each node is typically a multicore system. Such systems are considered loosely coupled. We should note that the definition of clustered is not concrete; many commercial and open-source packages wrestle to define what a clustered system is and why one form is better than another. The generally accepted definition is that clustered computers share storage and are closely linked via a local-area network LAN (as described in Chapter 19) or a faster interconnect, such as InfiniBand.
This text describes clustered multiprocessor systems, which comprise several individual systems (nodes), typically multicore, linked to function collaboratively. They are weakly linked, usually share storage, and interact through a LAN or fast interconnect such as InfiniBand. Cluster definitions differ, but the main difference lies in the node-based architecture as opposed to closely integrated multiprocessors.
In the early days of modern computing (that is, the 1950s), software generally came with source code. The original hackers (computer enthusiasts) at MIT's Tech Model Railroad Club left their programs in drawers for others to work on. “Homebrew” user groups exchanged code during their meetings. Company-specific user groups, such as Digital Equipment Corporation's DECUS, accepted contributions of source-code programs, collected them onto tapes, and distributed the tapes to interested members. In 1970, Digital's operating systems were distributed as source code with no restrictions or copyright notice. Computer and software companies eventually sought to limit the use of their software to authorized computers and paying customers. Releasing only the binary files compiled from the source code, rather than the source code itself, helped them to achieve this goal, as well as protecting their code and their ideas from their competitors. Although the Homebrew user groups of the 1970s exchanged code during their meetings, the operating systems for hobbyist machines (such as CPM) were proprietary. By 1980, proprietary software was the usual case
I understand that in the early days of computing, software was something people freely shared so that everyone could learn from and improve it. Groups like MIT’s Tech Model Railroad Club and DECUS made coding a collaborative activity, and even big companies like Digital allowed open access to their operating systems. But later, especially in the 1970s, companies realized that software could be sold and also needed protection from competitors, so they started giving only binary files instead of source code. This change meant users could run the software but not see how it worked or modify it. By the 1980s, most software became proprietary, which shows how the focus shifted from open collaboration to business and profit.
The free-software movement is driving legions of programmers to create thousands of open-source projects, including operating systems. Sites like http://freshmeat.net/ and http://distrowatch.com/ provide portals to many of these projects. As we stated earlier, open-source projects enable students to use source code as a learning tool. They can modify programs
The free software movement encourages programmers to create many open source projects, including operating systems. These projects are helpful for students because they can read the source code, learn from it, and even change it to practice. Websites like Freshmeat.net and DistroWatch.com are very useful because they collect and share lots of information about open-source software. Freshmeat.net lets people find new software updates, while DistroWatch.com gives details and comparisons of different Linux distributions. Both websites are good resources for learning, exploring, and supporting the open source community.
Finally, blade servers are systems in which multiple processor boards, I/O boards, and networking boards are placed in the same chassis. The difference between these and traditional multiprocessor systems is that each blade-processor board boots independently and runs its own operating system. Some blade-server boards are multiprocessor as well, which blurs the lines between types of computers. In essence, these servers consist of multiple independent multiprocessor systems.
This passage explains blade servers, where multiple processor, I/O, and networking boards reside in a single chassis. Each blade boots independently and runs its own OS. Some blades are multiprocessor systems, effectively creating multiple independent multiprocessor systems within one chassis, blurring traditional system classifications.
A potential drawback with a NUMA system is increased latency when a CPU must access remote memory across the system interconnect, creating a possible performance penalty. In other words, for example, CPU0 cannot access the local memory of CPU3 as quickly as it can access its own local memory, slowing down performance. Operating systems can minimize this NUMA penalty through careful CPU scheduling and memory management, as discussed in Section 5.5.2 and Section 10.5.4. Because NUMA systems can scale to accommodate a large number of processors, they are becoming increasingly popular on servers as well as high-performance computing systems.
This section highlights a possible limitation of NUMA architectures: retrieving remote memory via the system interconnect results in greater latency than accessing local memory. Operating systems are used to mitigate this penalty through the effective CPU scheduling and the memory management. Nonetheless, NUMA is being utilized more frequently in servers and high-performance computing because of its scalability
Adding additional CPUs to a multiprocessor system will increase computing power; however, as suggested earlier, the concept does not scale very well, and once we add too many CPUs, contention for the system bus becomes a bottleneck and performance begins to degrade. An alternative approach is instead to provide each CPU (or group of CPUs) with its own local memory that is accessed via a small, fast local bus. The CPUs are connected by a shared system interconnect, so that all CPUs share one physical address space. This approach—known as non-uniform memory access, or NUMA—is illustrated in Figure 1.10. The advantage is that, when a CPU accesses its local memory, not only is it fast, but there is also no contention over the system interconnect. Thus, NUMA systems can scale more effectively as more processors are added.
This section describes the NUMA (Non-Uniform Memory Access) method, which tackles scaling constraints in multiprocessor systems. Every CPU (or group of CPUs) possesses local memory that can be accessed through a rapid local bus, minimizing contention. All CPUs utilize a system interconnect for the global address space, enhancing scalability and performance as additional processors are included
In Figure 1.9, we show a dual-core design with two cores on the same processor chip. In this design, each core has its own register set, as well as its own local cache, often known as a level 1, or L1, cache. Notice, too, that a level 2 (L2) cache is local to the chip but is shared by the two processing cores. Most architectures adopt this approach, combining local and shared caches, where local, lower-level caches are generally smaller and faster than higher-level shared caches. Aside from architectural considerations, such as cache, memory, and bus contention, a multicore processor with N cores appears to the operating system as N standard CPUs. This characteristic puts pressure on operating-system designers—and application programmers—to make efficient use of these processing cores, an issue we pursue in Chapter 4. Virtually all modern operating systems—including Windows, macOS, and Linux, as well as Android and iOS mobile systems—support multicore SMP systems.
This excerpt outlines a dual-core processor design, where each core possesses its own registers and L1 cache, but they both have access to a common L2 cache. Multicore processors are recognized as several CPUs by the OS, necessitating meticulous resource and process management to enhance efficiency. The majority of contemporary operating systems accommodate this multicore SMP architecture
The definition of multiprocessor has evolved over time and now includes multicore systems, in which multiple computing cores reside on a single chip. Multicore systems can be more efficient than multiple chips with single cores because on-chip communication is faster than between-chip communication. In addition, one chip with multiple cores uses significantly less power than multiple single-core chips, an important issue for mobile devices as well as laptops.
This passage explains that multicore systems are now considered multiprocessors. Multiple cores on a single chip improve efficiency due to faster on-chip communication and lower power consumption compared with multiple single-core chips, making them ideal for mobile devices and laptops.
The benefit of this model is that many processes can run simultaneously—N processes can run if there are N CPUs—without causing performance to deteriorate significantly. However, since the CPUs are separate, one may be sitting idle while another is overloaded, resulting in inefficiencies. These inefficiencies can be avoided if the processors share certain data structures. A multiprocessor system of this form will allow processes and resources—such as memory—to be shared dynamically among the various processors and can lower the workload variance among the processors. Such a system must be written carefully, as we shall see in Chapter 5 and Chapter 6.
This excerpt emphasizes the benefits and difficulties of multiprocessor systems. Although multiple CPUs enable the concurrent execution of various processes, distinct processors may result in uneven load distribution. Dynamic sharing of data structures and resources aids in evenly distributing the workload, yet demands meticulous design to prevent inefficiencies and uphold system stability
The most common multiprocessor systems use symmetric multiprocessing (SMP), in which each peer CPU processor performs all tasks, including operating-system functions and user processes. Figure 1.8 illustrates a typical SMP architecture with two processors, each with its own CPU. Notice that each CPU processor has its own set of registers, as well as a private—or local—cache. However, all processors share physical memory over the system bus.
This passage introduces symmetric multiprocessing (SMP), where each CPU handles both OS and user tasks. Each processor has its own registers and local cache, but all share the system’s physical memory, allowing coordinated access and parallel execution.
On modern computers, from mobile devices to servers, multiprocessor systems now dominate the landscape of computing. Traditionally, such systems have two (or more) processors, each with a single-core CPU. The processors share the computer bus and sometimes the clock, memory, and peripheral devices. The primary advantage of multiprocessor systems is increased throughput. That is, by increasing the number of processors, we expect to get more work done in less time. The speed-up ratio with N processors is not N, however; it is less than N. When multiple processors cooperate on a task, a certain amount of overhead is incurred in keeping all the parts working correctly. This overhead, plus contention for shared resources, lowers the expected gain from additional processors.
This passage discusses multiprocessor systems, which use two or more CPUs to increase overall throughput. While adding processors can speed up work, the speed-up is less than linear due to overhead in coordination and contention for shared resources like memory and buses.
All of these special-purpose processors run a limited instruction set and do not run processes. Sometimes, they are managed by the operating system, in that the operating system sends them information about their next task and monitors their status. For example, a disk-controller microprocessor receives a sequence of requests from the main CPU core and implements its own disk queue and scheduling algorithm. This arrangement relieves the main CPU of the overhead of disk scheduling. PCs contain a microprocessor in the keyboard to convert the keystrokes into codes to be sent to the CPU. In other systems or circumstances, special-purpose processors are low-level components built into the hardware. The operating system cannot communicate with these processors; they do their jobs autonomously. The use of special-purpose microprocessors is common and does not turn a single-processor system into a multiprocessor. If there is only one general-purpose CPU with a single processing core, then the system is a single-processor system. According to this definition, however, very few contemporary computer systems are single-processor systems.
This text describes the function of specialized processors in single-processor systems. These processors manage particular functions (e.g., disk scheduling, keyboard input) either with OS oversight or independently. Their presence does not convert the system into a multiprocessor configuration, which needs multiple general-purpose CPU cores. The majority of contemporary computers are not solely single-processor systems anymore
Many years ago, most computer systems used a single processor containing one CPU with a single processing core. The core is the component that executes instructions and registers for storing data locally. The one main CPU with its core is capable of executing a general-purpose instruction set, including instructions from processes. These systems have other special-purpose processors as well. They may come in the form of device-specific processors, such as disk, keyboard, and graphics controllers.
This passage describes single-processor systems, where one CPU with a single core executes general-purpose instructions. These systems may also include special-purpose processors for tasks like disk, keyboard, or graphics control, supplementing the main CPU.
Interrupts are an important part of a computer architecture. Each computer design has its own interrupt mechanism, but several functions are common. The interrupt must transfer control to the appropriate interrupt service routine. The straightforward method for managing this transfer would be to invoke a generic routine to examine the interrupt information. The routine, in turn, would call the interrupt-specific handler. However, interrupts must be handled quickly, as they occur very frequently. A table of pointers to interrupt routines can be used instead to provide the necessary speed. The interrupt routine is called indirectly through the table, with no intermediate routine needed. Generally, the table of pointers is stored in low memory (the first hundred or so locations). These locations hold the addresses of the interrupt service routines for the various devices. This array, or interrupt vector, of addresses is then indexed by a unique number, given with the interrupt request, to provide the address of the interrupt service routine for the interrupting device. Operating systems as different as Windows and UNIX dispatch interrupts in this manner.
This section explains how interrupts are effectively handled in computer systems. Rather than employing a standard procedure for managing every interrupt, the CPU utilizes the interrupt vector—a low-memory pointer table—to swiftly find and execute the relevant interrupt service routine. This approach enables rapid and regular management of device requests, a strategy employed by operating systems such as Windows and UNIX
In Section 1.2, we introduced the general structure of a typical computer system. A computer system can be organized in a number of different ways, which we can categorize roughly according to the number of general-purpose processors used.
This passage introduces the idea that computer systems can be organized based on processor count. The structure of a system—single-processor or multi-processor—affects how resources are managed and how tasks are executed concurrently.
Recall from the beginning of this section that a general-purpose computer system consists of multiple devices, all of which exchange data via a common bus. The form of interrupt-driven I/O described in Section 1.2.1 is fine for moving small amounts of data but can produce high overhead when used for bulk data movement such as NVS I/O. To solve this problem, direct memory access (DMA) is used. After setting up buffers, pointers, and counters for the I/O device, the device controller transfers an entire block of data directly to or from the device and main memory, with no intervention by the CPU. Only one interrupt is generated per block, to tell the device driver that the operation has completed, rather than the one interrupt per byte generated for low-speed devices. While the device controller is performing these operations, the CPU is available to accomplish other work.
This text describes Direct Memory Access (DMA), enhancing efficiency for large data transfers. Rather than having the CPU manage each byte (causing numerous interrupts), the device controller moves whole blocks of data straight between the device and memory. This minimizes CPU load and enables it to handle additional tasks during the transfer.
A large portion of operating system code is dedicated to managing I/O, both because of its importance to the reliability and performance of a system and because of the varying nature of the devices.
This passage highlights that a significant part of an operating system focuses on I/O management. The diversity of devices and the critical role of I/O in system performance and reliability make it a major responsibility of the OS.
Accordingly, noninvasive respiratory support should be considered for clinical goals other than the reduction of BPD.
This article highlights the importance of viewing the whole patient picture when making clinical decisions. Though prevention of BPD is of utmost importance, we as practitioners have to be prepared to support our patient appropriately. Whether that means providing them with increased respiratory support, modifying ventilation due to abdominal distension, or providing ventilatory support to decrease the amount of intubations. Many of the studies used in this article yielded different results. No patient case is exactly the same. These concepts are ones I will carry with me moving forward in my career as a practitioner.
Because the distending pressure is not monitored, care should be taken to avoid pulmonary overinflation.
Though invasive ventilation has been shown to increase incidences of BPD in some literature, could invasive ventilation be more appropriate when accounting for lung compliance? SIMV-PC delivers set pressures and a variable tidal volume dependent upon lung compliance. Volume guarantee will provide a set tidal volume and variable pressures dependent upon lung compliance. Could accounting for patient lung compliance decrease incidence of BPD?
Thus, the goal of NAVA is to transduce, on a breath-by- breath basis, the timing and intensity of the patient’s own inspiratory effort into synchronous support provided by the ventilator.
NAVA has a set apnea time. I have observed in practice that the delay in initiation of support by the NAVA circuit can lead to a patient event. Where I have not experienced this issue as often when utilizing invasive ventilation like SIMV-PC. I have noticed especially with neonates, NAVA seems to fail to deliver a breath when the patient is initiating shallow breaths. NAVA recognizes shallow breaths as initiation of breathing even if the volume is not sufficient.
NAVA uses the infant’s integrated diaphragmatic activity to determine the onset of the assisted breath, the pressure employed during the breath, and the duration of assist.
A limitation to NAVA is it can only be utilized when in possession of a Servo ventilator. Due to this many centers may not have access to providing NAVA. Many health care professionals may not be trained on managing a NAVA circuit due to inexperience with Servo ventilators.
Notably, infants were similarly allowed to receive surfactant using the INSURE method, and a similar proportion of infants in each group (w70%) were given surfactant.
Did this study account for airway damage when intubating to provide surfactant? Would the patient have better outcomes if left intubated after administering surfactant versus multiple intubation attempts? Including less invasive surfactant administration would yield more accurate results on incidence of BPD with non-invasive ventilation.
NIV has shown similar success in newborns, preventing intubation in some neonates who would otherwise fail NCPAP.(32) In addition, NIV has been shown to reduce the magnitude and severity of apnea. (33) Commonly used approaches to NIV.
Is traditional NIV a better alternative to an invasive setting like SIMV-PC? Traditional NIV does not take the patients spontaneous breaths into account when delivering a rate. This means we are continuously causing breath stacking. Where as SIMV-PC works with the infant and pressure supports their spontaneous breaths.
In fact, an argument could be made for never using HFNC as an alternative to NCPAP, because the delivered pressure is unmonitored. However, infants in whom prolonged NCPAP has led to nasal trauma may be candidates for the brief use of HFNC at low flow rates
Though HFNC seems to be an inferior choice to CPAP when discussing extremely premature infants. Could it be beneficial to transition infants with large amounts of abdominal distension from CPAP to HFNC? This could allow for the stomach to shrink, which would then allow appropriate inflation of the lungs.
Notably, however, 4 large randomized, controlled trials evaluating routine CPAP versus routine intubation together found that 33% to 51% of high-risk infants initially treated with CPAP ultimately required intubation in the first week of postnatal age (Table 1). (15)(16)(17)(18)(19) Furthermore, approximately 25% of neonates required reintubation following surfactant plus a trial of NCPAP.
Was the risk of BPD after reintubation evaluated? What damage are we doing to the neonates airway by repeatedly intubating to attempt non-invasive ventilation or administer surfactant?
Increased leakage of NCPAP prongs at the nose results in decreased transmission of desired distending pressure to the upper airway. (14)Because measurement of intrathoracic pressures developed by application of NCPAP is not clinically available, it is critical for practitioners and respiratory therapists to ensure that prongs are appropriately sized for the patient.
Though the use of CPAP and RAM cannulas reduce the rate of BPD. Would this system be appropriately suited for recruiting the alveoli of an extremely premature infant? Due to the leak describe above a more occlusive system could be a better choice for extremely premature neonates.
These nasal CPAP (NCPAP) devices deliver airflow that is continuously regulated to produce a set pressure, usually 4 to 7 cm H 2 O. NCPAP provides distending pressure to the airways and alveoli throughout the respiratory cycle.
When researching the impact of CPAP on incidence of BPD did this study include CPAP on higher pressures? Will infants on a CPAP of 8 to 9cm experience BPD at similar rates of infants on invasive ventilation?
Because invasive ventilation has been associated with adverse effects on lung development, noninvasive approaches have been increasingly used.
Does the invasive ventilation included in this text also reference HFJV and HFOV? Are non-invasive forms of ventilation truly better at preventing BPD than high frequency ventilation, which offers smaller tidal volumes and continual inflation of the lungs?
For example, high schools, no matter how prestigious, should not be included in a résumé
To my understanding employers might see having highschool on your resume as a red flag because it shows that you view the bare minimum as an accomplishment.
What exactly do you do, or what have you done in the past? Your résumé should answer this question very quickly. The more you quantify your accomplishments using specific details, the more your abilities will be understood.
resumes should highlight the things youve done in the past to give employers a clear view of of your accomplishments and help them understand where youd be a good fit.
Remember, as the most critical component of a marketing campaign in which you advertise your professional self, your résumé must be clear, concise, and error free.
Your resume is how you stand out from other applicants and having a clear and efficient resume is critical.
Being self-aware is the only way to improve.
Being aware of what you can improve will help you improve.
contextual dynamics
In other world, operational reduction semantic in wikipedia<br /> It seems the presented contextual dynamic present no way for us to reasoning about it: <br /> even the simplest plus(hole, 2){1} = plus(1, hole){2} can't be proven.
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Very interesting, regarding the transformation of country to city
But mass production also created millions of low-paid, unskilled, unreliable jobs with long hours and dangerous working conditions.
Again, hard to hear about the horrible and disgusting conditions that people used to call work.
The wealthy president of the Pennsylvania Railroad, Thomas Andrew Scott, who had been Assistant Secretary of War for Abraham Lincoln during the Civil War, is often named as one of the first Robber Barons of the Gilded Age. Scott suggested that if striking workers complained they were hungry, they should be given “a rifle diet for a few days and see how they like that kind of bread.”
This part of the text is sad and sort of surprising. It was obvious that life wasn't the best at this time, and conditions weren't the best for most, but to hear more about what conditions were like, especially for such a big operation, it's sad to hear about.
Panicked business leaders and their political allies reacted quickly. When local police forces would not or could not suppress the strikes, governors called on state militias or even the US Army to break them and restore rail service.
I found this interesting because of how far and how quickly they would go to restore the railroad services. It's interesting to me how important it was at the time.
小米15 Ultra在歐洲的起始售價高於iPhone 16 Pro Max,他認為背後支撐的力量主要還是來自於小米的技術信心和底氣,從各方面比較,我們的這款產品做得比iPhone 16 Pro Max還要好。這次還對iOS生態進行了大量的兼容優化,讓iPhone用戶能無縫切換到小米來。
ecosystem is the real moat
Putting our hands on students in any way can cause long-lastingdistress.
Putting hands on a student is the ultimate last resort, absolutely. However, if/when a situation arises that requires restraint for the safety of other students/faculty, what are we supposed to do?
The online text includes links, but we’ve used specific language to allow readers of the print version to find the same pages within the text or outside resources.
It’s convenient that the authors chose to make this textbook accessible to both online and in-person students!
Another example is I created a list of all the things I typically want to do in a day
This article shows many different ways that AI is helpful and useful. I normally only see the negative sides of AI so it is interesting to see all the good it can do.
I acknowledge that many generative AI tools do not respect the individual rights of authors and artists, and ignore concerns over copyright and intellectual property in the training of the system.
Copyright is one of the biggest issues with AI right now. It is unfortune that artists have to defend their hard work against AI.
Musk, who left his role in the Trump administration on May 30, and his team have canceled millions of dollars in research agreements at the U.S. Department of Education.
This is very disappointing. Though quite common practice. Many of these surveys rely on test scores for their data. There are many things to factor in when testing children. How was the test performed? How well did the child relate to the testing procedure? Was the child well, when the testing took place? How do learning disabilities factor into the results?
It is important to know if putting kindergarteners onto lap tops will prove to create children who can read in 1st grade. The greatest advantage I can see is with a computer? Children can advance their reading skills at a quicker pace. Than again, seeing some of the vocabulary I found on one child's computer? Some of those words had not relevance to a young child. To most middle school children as well.
What I did see though that a child who did have a short attention span, because he was barely three years old, he did respond well to an alphabet program online.
In the first half of the 2010s, “we were pushing play out, and play was becoming something that we were having to do secretly,” said Amber Nichols, a former longtime kindergarten teacher and the 2023 West Virginia Teacher of the Year. “There was much less focus on play and social-emotional learning and definitely much more academic-based content.”
I am concerned because though it seemed kindergarteners were adapting to this change not all of them are doing this well.
We are gutting our program. Some of it seems reasonable. Children at this age do not need to perform so much artsy, crafty projects. However, I noticed at least a few students who could not focus on computer assignments. Teachers will have to have assistants. This however I fear will not help children who learn best from performing physical tasks to learn.
She returned to graduate school, earning a master’s degree in education in a program that focused on guided play and nature-based learning for early elementary students. “I became really interested in figuring out how children can engage with materials and experiences in a more hands-on, experiential way, and that is what led me to more of a focus on play-based learning,” Arrow said.
I haven't attended graduate school and have no plans at my age to complete a master's degree. What I have learned from my years of teaching is student respond best to learning that is child centered. When I find out what their interests are? I find they are better motivated to learning when I use these topics. Especially when it comes to reading skills. Though this logic can be applied to all areas of learning.
Helping children make a meaningful connection between the different areas of study for me has been the fastest way to lead a child to advancement.
Can we achieve this with computer laptops? Yes, but there has to be time to tutor those children who I could see were not as experienced with computers at home. I am not sure if the material they were offering was reaching most of the students.
I could see how some kindergarteners needed access to a computer lab with hands-on instruction that were not receiving this assistance. I have little doubt these same students will be falling behind. Unless they get the help that they need? Sitting them down at a desk will just become a source of torture they are struggling to endure.
I just realize for this program to succeed? It will require careful planning. I was able to read in Kindergarten. I can accredit this to having access to many interesting books and being ignored most of the time by our mother. I believe I also benefitted some from television programming that was classroom based.
This reassures me that yes, many children can learn to read by age five. However, this will be because they have easy access to the many electronic games, programs and hopefully some attention from their parents. I also know though that some children will not develop the memory capacity until well into six years old.
What wasn't mentioned here and some schools are implementing this is 3/4,4/5 and 5/6 year old classrooms. I feel this is the best answer for young children.
She is calling it, "play-based" while I would say interest based education hits closer to the mark.
But this is comparable to a small child.
This sentence makes me wonder how GPT will function in the future. Will GPT grow like a small child and improve?
e model will learn that after “cat” there is always “eats”, then “the”.
This makes me think of when I am texting and different word suggestions will pop up based on what I normally say. I have never put much thought into that until now.
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I don't think this is true. I believe there have been studies done that say that many mammals have the ability to laugh and do so often.
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It seems at this time there was quite a bit of differentiation between "boys' games" and "girls' games." It feels contradictory that on the top of this page he used the example of "a little girl playing ball." Wouldn't spoil-sports be present in girls' ball games?
2017年5月由于鸿海瞄准东芝出售半导体部门案在日本政经界引发的议论,担忧继夏普后日本大型企业在财务困难时期被外商连连收购,导致技术外流最终日本丧失一切竞争力,日参院通过《外汇修正法》实质禁止了许多收购活动,被戏称鸿海条款。
lmfao you forgot the 90s don't ya
college? ________________________________________________________
The most difficult part I feel would be is time management’s and getting all my work in on time. And having everything organized
the
All of the above
above
all the above
In 1971, psychologists Amos Tversky and Daniel Kahneman published a now-classic paper, “Belief in the law of small numbers,” reporting that people “regard a sample randomly drawn from a population as highly representative, I.e., similar to the population in all essential characteristics.” I’ve been thinking a lot about this idea lately when coming across discussions of evidence. The (false) small-numbers heuristic leads people to expect that all, or almost all, the empirical evidence in some controversy will go in the same direction. Individual pieces of evidence can be analogized to samples from a larger population of potential evidence. Presumably the entire population of evidence, if it could be seen at once, would confirm the truth or at least strongly favor the correct hypothesis. (Here I’m thinking of a simple case in which there are two models of the world, one of which is essentially false and one essentially true.) Now let’s get back to stories. True stories will contain a mix of confirming and disconfirming evidence; that’s just the way the world works, or, to put it another way, that’s the statistics of small samples. But, in a fictional story, all the evidence can go in the same direction, and that can feel right, in that it fits our false intuition. The question then arises, where does the incorrect heuristic of the law of small numbers come from? It could come from all the stories we hear!
Worse in overfictionalized areas: crime
although the mind– body problem is rarely attributed to her.
duh she's a woman
And then everyone stops in their tracks and holds still, remaining completely silent for at least 60 seconds. It’s awkward:
i never knew how awkward this could be because the audience is not apart of this but the actors are.
Room tone recordings can be used to fill in those gaps and match the sound floor of the recorded dialogue. It’s just another example of how sound editors control every aspect of the sound in the cinematic experience.
Room tones can have gap in the scenes if the actor chooses their own lines they want to record over.
Everything else, background sounds, birds chirping, music on a radio, even footsteps, are almost always recorded after production. The main job of location sound recordists is to isolate dialogue and shut out every other sound.
This tells me that background noises and nature sounds are all made on purpose.
But wait… sound speed? That’s another of those little anachronisms of cinema. For much of cinema sound history, sound was recorded onto magnetic tape on a clunky reel-to-reel recorder. It would take a moment for the recorder to get up to “speed” once the recordist hit record,
i always thought the action shot was the moan part of the scene before it was films they would say take 2 and slap the slate shot.
dual-systemrecording, that is, recording sound separate from image during production.
this tells me that most directors use dual systematic recordings rather than the original sound.
efore we get to how that soundscape is shaped in the post-production process, let’s look at how (and what) sound is recorded during production. The production sound department is made up of several specialists dedicated to recording clean sound on set as the camera rolls. They include the on-set location sound recordist or location sound mixer,
i never knew that there was this much editing just involved in sound. I always figures it was just a camera and overhead microphone
Unless you’re reading this in a sensory deprivation chamber, you are surrounded by sound. The soundscape around us shapes our understanding of the world, becoming its own meaningful context for every other sense perception. Most of the time, it barely registers, we don’t attend to it unless we are listening for something in particular. But take it away and we feel lost, vulnerable, disoriented.
humans are always surrounded by background noises and sounds they we may not even notice until we fully pay attention to our surroundings.
the collider Z,
the collider W?
You must be willing and able to reflect upon your own work and thinking with an eye to the constant and substantial improvement of the same
I believe that this is a great opportunity to learn from your mistakes and improve. As a student, I always want to improve and believe that this course gives us the opportunity to without focusing on what grade we get. We are able to make mistakes that won't affect our grade. This is important because if we don't take risks and make mistakes, we won't be able to learn from them!
You must demonstrate curiosity about new subjects and perspectives andbe willing to exert time and energy to pursue that curiosity
Find new take aways from readings and articles, that not only will help you remember key details but will allow you to grow in the course material!
Your comments to colleagues must be focused, specific, and constructive
Its important to derive from what others say in their responses and go deeper into the topic of discussion, while also learning new things and seeing what other's opinions on things are!
You must demonstrate leadership abilities small group discussion, but balance this with an awareness that the quality(rather than the quantity)of speaking and writing completed in a term is the real hallmark of excellence.
I completely agree with this, as one of the most important things we learn about through out our college careers is the use of engaging in what we have previous knowledge in and using that in what we respond in rather than how long a post is.
Instead, he tells the story through the main character’s fractured memory. And his editor, Sarah Flack, uses discontinuity editing to dramatize that narrative idea
this allows the audience to view the film in the memory of the actor or actors point of views what he remembers and sees.
In this case, the jump cut is used for comedic effect to show the passage of time. But it can also be used to dramatize a chaotic or disoriented situation or state of mind.
this allows the audience to understand the man is trying on different pants. This gives the comedity effects. This can also be used on chaotic scene.
This technique has become so common, so integral to our shared cinematic language, that editors can use our fluency against us, subverting expectations by playing with the form. Check out this (rather disturbing) clip from Jonathan Demme’s The Silence of the Lambs (1991):
this si such a good horror movie but i agree they cut the scene to see what was happening on the outside of the house this is what the audience predicts is going on.
To establish these lines of action and to increase our own sense of dread and anxiety, the editor cuts from the man to the woman to the waterfall in a regular, rhythmic pattern, cross-cutting between them to constantly remind the audience of the impending doom as we cheer on our hero until the lines of action finally converge
cross cutting is used for intense scenes to express anxiety or fear.
. But the fact is, editors can break the rule if they actually want to disorient the viewer, to put them into the psychology of a character or scene.
this makes sense into why the camera man can break this rule it can also be broken to keep the narrative going.
It’s called the 180 degree rule and it’s related to the master shot and coverage technique. Basically, the 180 degree rule defines an axis of action, an imaginary line that runs through the characters in a scene, that the camera cannot cross:
this is new information ot me i never knew that the cameras could not cross against the axis of the actors or actions they are shooting this is called 180 degree rule.
We see both characters, Andrew and Nicole, in the same frame, sitting at a table in a café. The next shot is from the coverage, over Nicole’s shoulder, on Andrew as he reacts to her first line of dialogue. Then on Nicole, over Andrew’s shoulder as she reacts to his line. The editor, Tom Cross, moves back and forth between these two shots until Andrew asks a question tied to the film’s main theme,
this scene allow the audience to understand whos talking at that time with camera will switch between the two people this is called a master shot.
hen, they film coverage, that is, they “cover” that same scene from multiple angles, isolating characters, moving in closer, and almost always filming the entire scene again from start to finish with each new set-up. When they’re done, they have filmed the entire scene many, many times from many different perspectives.
this also creates intensity for the scene and allow the audience and the camera to move along with the actors.
We are entering the main setting for the film, a crowded, somewhat chaotic tavern in Morocco. Notice how the camera moves consistently from right to left, and that the blocking of the actors (that is, how they move in the frame) is also predominantly from right to left,
this tells me that the camera will move along with the actors in scene this creates more flow and clarity in the shot.
nd even subject match cuts that cut between two similar ideas or concepts (a flame from a matchstick to the sun rising over the desert in David Lean’s Lawrence of Arabia (1962)).
i've seen match cutting on lots of films where a actor can be pulling the sheets over their body and then it cuts to them putting on a short or clothing this type of cut is creative.
from cutting-on-action to match cuts and transitions, and from maintaining screen direction to the master shot and coverage technique and the 180 degree rule
i never knew that invisible editing involved this much work i am just now learning about the 180 degree rule.
an editor’s job, first and foremost, is to draw the viewer into the cinematic experience, not remind them they’re watching a movie.
this process is called invisible editing. this allows the audience to connect with the film without realising they are watching a movie.
Sometimes an editor lets each shot play out, giving plenty of space between the cuts, creating a slow, even rhythm to a scene. Or they might cut from image to image quickly, letting each flash across the screen for mere moments, creating a fast-paced, edge-of-your seat rhythm.
this tells me that the rhythm in films can be slowed down or sped up depending on the scene .
will you say that any pain has succeeded,though the pleasure is absolutely over
continuing the thread of love as an aesthetic experience -- does this apply to love?
In light of the above I opt to dexterously describe my processes in my CLAUDE.md and simply use the user prompt to provide parameters for those processes or to steer the model
come again
The alarmed Chinese turned their attention to their border defenses and rebuilt the crumbling Long Walls into a 1,550-mile long fortification with hundreds of guard towers.
I think it is very cool how they rebuild the crumbling walls and made them almost 2000 miles long and now the Great Wall is an amazing landmark that is still worshiped to this day.
Yongle tried to erase the memory of his rebellion by purging a large number of Confucian scholars in the capital of Nanjing and moving the government to his home in Dadu, which he renamed Beijing.
Yongle betrayed his family out of anger and greed because he was not given the crown by his father. I think that this is very interesting and that this happened a lot back then due to peoples need for wealth and power.
But the exams were also democratic in a way: even a scholar from a poor family could take the exam if he could educate himself; success on the top exam was a ticket to the highest levels of imperial society.
Even though families were not as fortunate as others everyone was given a fair chance to learn and take these exams and give their families a chance to become more fortunate in society.
China held a monopoly on the creation of silk, which was a closely-held state secret for millennia
I think it is interesting that China was the only country producing silk for a thousand years when it is such a valuable resource explains why China grew in wealth so rapidly.
remunerated
remunerated
In this excerpt, "remunerated" refers to being compensated or paid for work or services. The context suggests a conversation concerning hidden secrets and possibly unethical actions within a team or organization, contrasted with "unremunerated," indicating a lack of payment. The speaker seems frustrated, possibly about someone not acknowledging their contributions or the implications of unpaid work.
在这段摘录中,“remunerated”指的是为工作或服务付费或获得报酬。上下文表明这是一个关于团队或组织内隐秘行为和可能不道德行动的对话,和“unremunerated”(未获得报酬)形成对比,暗示没有支付。说话者似乎感到沮丧,可能是因为某人未能承认他们的贡献或未支付工作的影响。
You are thrilled
You are thrilled
In the excerpt "You are thrilled," the speaker is addressing someone who appears to be involved in a situation that has led to excitement or joy, possibly in contrast to the disappointment expressed earlier in the conversation. This brevity indicates a strong emotional response, suggesting that despite previous frustrations, the current moment brings elation.
在摘录“你感到兴奋”中,讲话者正在对某人表达,似乎这个人参与的情况引起了兴奋或快乐,可能与之前谈话中表达的失望形成对比。这种简洁性表明一种强烈的情感反应,暗示尽管之前有挫折,但此刻的体验带来了极大的快乐。
There has been a significant shiftfrom the concept of sequence as programming to the concept ofsequence as flow
How big was the shift, and how notable was it?
When we go out to a meeting or a concert or a game we takeother experience with us and we return to other experience
This is very true nowadays, as you go to a basketball game and it's a blowout, but the next time you attend a game, it could end with a buzzer beater. You don't know what could happen.
A play was performed in a particular theatre at a sethour. The difference in broadcasting is not only that these events,or events resembling them, are available inside the home
Nowadays, everything is online, so if you. missed the play while it was in the theater, you go on YouTube or some streaming website and find it for free or pay a small fee to do so.
solid understanding of the prose they want to create
using AI systems like ChatGPT require an understanding about the ideal prompts to input in order to receive one's ideal response
you need to understand parts of culture more deeply than everyone else using the same AI systems
using AI technology requires effort and prior knowledge of the subject in order to get a more thoughtful response. however, many use these technologies in order to avoid critical and analytical thinking
It shows you, roughly, what is in the 12M images that make up a key database used by AI image generators:
is this just art available online? like where do the 12m images come from
show your audience your message through examples thatillustrate what you’re telling them.
What does showing, not telling look like?
what you’ve done, where you’ve done it, whyyou’ve done it.
Does this mean how I feel about my own writing?