separately. 1.1 Aims of the Model The

There are 22 response models in the system, including retrieval-based neural networks, generation-based neural networks, knowledge base question answering systems and template-based systems.Examples of candidate model responses are shown in Tabl

Without this, men fill one another's heads with noise and sounds;

So much of faculty development is one-size-fits-all andarranged according to preset schedules and locations - and by doing so, will consist-ently fail to meet the needs of those whose interests are marginal or different from themajority. Moreover, the understanding of“network”in the institutional sense fails toaccount for the individual level of the Personal Learning Network (PLN) where educa-tors can build connections and relationships that advance their ongoing learning out-side of institutional structures and boundaries

n sender/receiver, channel, code, messag

Denition of the evolution model by SPL main-tainer.

An HTML element is an individual component of an HTML document or web page, once this has been parsed into the Document Object Model.

Canada is the first case of the expansion of hospital medicine beyond the United States, and as of 2008, Canada had more than 100 hospital medicine programs.7 Currently, the estimated number of hospitalists in Canada has increased to ~3,000 (Colleen Savage, Administrator, Canadian SHM, personal communication, December 6, 2017). Yousef and Maslowski describe several drivers for the development of the hospitalist model, which are related to physicians, patients, and systems. Work–life balance and the desire for non-hospital work among primary care providers (PCPs) were leading physician factors. Two major patient-related factors were the increasing age and complexity of patients and the increasing number of “unattached” patients. Unattached patients are those who either do not have a PCP or their PCP does not have admitting hospital privileges. System drivers included PCP shortages, reduction in resident duty hours, higher need for health system efficiency, and cost reduction. Further, increasing health system complexity led to PCPs withdrawing from hospital care.7

“It doesn’t just help make hospitalists work better. It makes nursing better. It makes surgeons better. It makes pharmacy better.”

In the last 20 years, HM and technology have drastically changed the hospital landscape. But was HM pushed along by generational advances in computing power, smart devices in the shape of phones and tablets, and the software that powered those machines? Or was technology spurred on by having people it could serve directly in the hospital, as opposed to the traditionally fragmented system that preceded HM? “Bob [Wachter] and others used to joke that the only people that actually understand the computer system are the hospitalists,” Dr. Goldman notes. “Chicken or the egg, right?” adds Dr. Merlino of Press Ganey. “Technology is an enabler that helps providers deliver better care. I think healthcare quality in general has been helped by both.

“This has all been an economic move,” she says. “People sort of forget that, I think. It was discovered by some of the HMOs on the West Coast, and it was really not the HMOs, it was the medical groups that were taking risks—economic risks for their group of patients—that figured out if they sent … primary-care people to the hospital and they assigned them on a rotation of a week at a time, that they can bring down the LOS in the hospital. “That meant more money in their own pockets because the medical group was taking the risk.” Once hospitalists set up practice in a hospital, C-suite administrators quickly saw them gaining patient share and began realizing that they could be partners. “They woke up one day, and just like that, they pay attention to how many cases the orthopedist does,” she says. “[They said], ‘Oh, Dr. Smith did 10 cases last week, he did 10 cases this week, then he did no cases or he did two cases. … They started to come to the hospitalists and say, ‘Look, you’re controlling X% of my patients a day. We’re having a length of stay problem; we’re having an early-discharge problem.’ Whatever it was, they were looking for partners to try to solve these issues.” And when hospitalists grew in number again as the model continued to take hold and blossom as an effective care-delivery method, hospitalists again were turned to as partners. “Once you get to that point, that you’re seeing enough patients and you’re enough of a movement,” Dr. Gorman says, “you get asked to be on the pharmacy committee and this committee, and chairman of the medical staff, and all those sort of things, and those evolve over time.”

Hospitalists were seen as people to lead the charge for safety because they were already taking care of patients, already focused on reducing LOS and improving care delivery—and never to be underestimated, they were omnipresent, Dr. Gandhi says of her experience with hospitalists around 2000 at Brigham and Women’s Hospital in Boston. “At least where I was, hospitalists truly were leaders in the quality and safety space, and it was just a really good fit for the kind of mindset and personality of a hospitalist because they’re very much … integrators of care across hospitals,” she says. “They interface with so many different areas of the hospital and then try to make all of that work better.”

“When the IOM report came out, it gave us a focus and a language that we didn’t have before,” says Dr. Wachter, who served as president of SHM’s Board of Directors and to this day lectures at SHM annual meetings. “But I think the general sensibility that hospitalists are about improving quality and safety and patients’ experience and efficiency—I think that was baked in from the start.”

“My feeling at the time was this was a good idea,” Dr. Wachter says. “The trend toward our system being pushed to deliver better, more efficient care was going to be enduring, and the old model of the primary-care doc being your hospital doc … couldn’t possibly achieve the goal of producing the highest value.”

That type of optimism permeated nascent hospitalist groups. But it was time to start proving the anecdotal stories. Nearly two years to the day after the Wachter/Goldman paper published, a team led by Herbert Diamond, MD, published “The Effect of Full-Time Faculty Hospitalists on the Efficiency of Care at a Community Teaching Hospital” in the Annals of Internal Medicine.1 It was among the first reports to show evidence that hospitalists improved care

“The role of the hospitalist often is to take recommendations from a lot of different specialties and come up with the best plan for the patient,” says Tejal Gandhi, MD, MPH, CPPS, president and CEO of the National Patient Safety Foundation. “They’re the true patient advocate who is getting the cardiologist’s opinion, the rheumatologist’s opinion, and the surgeon’s opinion, and they come up with the best plan for the patient.”

Dr. Merlino says he’s proud of the specialists who rotated through the hospital rooms of AIDS patients. But so many disparate doctors with no “quarterback” to manage the process holistically meant consistency in treatment was generally lacking

Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift

“The ADDIE model consists of five steps: analysis, design, development, implementation, and evaluation. It is a strategic plan for course design and may serve as a blueprint to design IL assignments and various other instructional activities.”

It has been demonstrated that this formulation is almost equivalent to a SLIM model,[9] which is an item-item model based recommender

Approximate Fisher Information Matrix to Characterise the Training of Deep Neural Networks

But we by a love so much refined,

sublunary

Las aplicaciones aumentan el acceso a la justicia

exists as long as the feature is in development

Here’s a thought exercise. Barack Obama never once considered repealing George W. Bush’s Medicare Part D law

The SAMR model  is a useful tool for helping teachers think about their own tech use as they begin to make small shifts in the design and implementation of  technology driven learning experiences to achieve the next level.

ditching machine

A ditching machine is used for digging ditches or trenches of a specified depth and width. These ditches are often used for irrigation, drainage, or pipe-laying. They could also be used to build fences or fortifications. These machines can also be used to excavate for any other purpose (Edwards, 1888). Within the Berger Inquiry, the Banister Model 710 and Model 812 wheel ditchers are discussed. This machine was designed and built by Banister Pipelines of Edmonton, Alberta. Banister Pipelines built their first ditcher, the Model 508, in 1965. The Model 508 was designed to “cut through frozen ground.” Banister Pipelines was later able to “develop the technology in the 1970s that led to some of the largest ditchers ever built.” They designed a prototype of the Model 710 in 1972 which was tested to cut through frozen ground. This machine weighs 115 tons and can dig a ditch 7 feet wide and 10 feet deep. It is powered by two Caterpillar diesel engines which produce 1,120 horsepower. This machine is so powerful that in thawed ground it can reach a production rate of up to 20 feet of trench per minute. A few years later, in 1978, Banister Pipelines built a larger ditching machine, the Model 812, which is almost twice the size of the Model 710. This machine can dig 12 feet deep. The Model 710 and Model 812 by Banister Pipelines are still in use today (Haddock, 1998). 

So how does that explain what happened in Disneyland? If you have a group of 1,000 people concentrated in a small space—like oh, say, hypothetically, an amusement park—about 90 percent of them will be vaccinated (hopefully). One person, maybe someone who contracted measles on a recent trip to the Philippines, moves around, spreading the virus. Measles is crazy contagious, so of the 100 people who aren’t vaccinated, about 90 will get infected. Then, of the 900 people who are vaccinated, 3 percent—27 people—get infected because they don’t have full immunity.

Never write to a model field or call save() directly. Always use model methods and manager methods for state changing operations.

“Why prolong the inevi-table? We are all one stitch from here [the shelf] to there [the yard sale].”

(sitting on a bench to watch the sunset, riding a gondola, capturing her beauty through art)

Alongside this sheer pleasure in ma-teriality and movement, Pixar operates with a nostalgia that is both regressive (in its reliance on traditional notions of gender, class, and morality) and liberat-ing (in its embrace of an ironic, detached view of the present).

“making strange,” as Brecht would have it

That is, Pixar’s films encourage adult audiences to both encounter and deny each film’s veiled dark content and its implications for them.

Imagine if our university system was structured around helping people accomplish the things that they're trying to do, Downes said — "that would be a real transformation."

The importance of models may need to be underscored in this age of “big data” and “data mining”. Data, no matter how big, can only tell you what happened in the past. Unless you’re a historian, you actually care about the future — what will happen, what could happen, what would happen if you did this or that. Exploring these questions will always require models. Let’s get over “big data” — it’s time for “big modeling”.

play either role

***By which I mean, it’s even in Wikipedia

Actually, I didn’t need Holmesian deductions to conclude that Aad et al. aren’t using a conventional definition of authorship. It’s widely known*** that at least two groups in experimental particle physics operate under the policy that every scientist or engineer working on a particular detector is an author on every paper arising from that detector’s data. (Two such detectors at the Large Hadron Collider were used in the Aad et al paper, so the author list is the union of the “ATLAS collaboration” and the “CMS collaboration”.) The result of this authorship policy, of course, is lots of “authorships” for everyone: for the easily searchable George Aad, for instance, over 400 since 2008.

The standard model of scholarly publishing assumes awork written by an author. There is typically a single authorwho receives full credit for theopusin question. By thesame token, the named author is held accountable for allclaims made in the text, excluding those attributed to othersvia citations. The appropriation of credit and allocation ofresponsibility thus go hand-in-hand, which makes for fairlystraightforward social accounting. The ethically informed,lone scholar has long been a popular figure, in both fact andscholarly mythology. Historically, authorship has beenviewed as a solitary profession, such that “when we picturewriting we see a solitary writer” (Brodkey, 1987, p. 55). Butthat model, as Price (1963) recognized almost three decadesago, is anachronistic as far as the great majority of contem-porary scientific, and much social scientific and humanistic,publishing is concerned.

Inthebiomedicalresearchcommunity,multipleauthorshiphasincreasedtosuchanextentthatthetrustworthinessofthescientificcom-municationsystemhasbeencalledintoquestion.Doc-umentedabuses,suchashonorificauthorship,havese-riousimplicationsintermsoftheacknowledgmentofauthority,allocationofcredit,andassigningofaccount-ability.Withinthebiomedicalworldithasbeenproposedthatauthorsbereplacedbylistsofcontributors(theradicalmodel),whosespecificinputstoagivenstudywouldberecordedunambiguously.Thewiderimplica-tionsofthe‘hyperauthorship’phenomenonforscholarlypublicationareconsidered.

Significant diagnostic differences were seen in the left and right cerebral volumes in interaction with sex (right: F3,93 = 2.9, P = .04; left: F3,93 = 3.1, P = .04). Post hoc comparisons showed that both bipolar groups (with and without psychosis) had significantly smaller left and right cerebral volumes than HCs; this difference was even more marked in the female BPD groups. The SZ group did not differ significantly from the other groups.

2-way (diagnosis, sex) univariate analyses covarying for TCV and age

A series of Analyses of Variance (ANOVA) were performed on CC1 through CC7 and total CC as dependent variables with sex, age, and TCV as covariates to compare CC volumes and CC midsagittal areas between youths with BPD and HC to determine if there were group differences.

Equality of groups on demographic and clinical variables was evaluated by t-tests for continuous variables and chi-square tests for categorical variables

What is a business model?

These models

Sigo convencido de que Lean Startup y las ideas, herramientas y metodologías que le rodean como Customer Development, Business Model Design, Lean UX o Effectuation son la mejor vía para crear una empresa. Pero la interacción con mis lectores y con los alumnos de mis cursos me ha hecho ver que hay problemas para llevar a la práctica estas ideas.

gravitoinertial ambiguity

The Nordic Model: Pros and Cons

total offive variables in the frontierestimate: three input types in dollars, output in number of patient-days, andquality in estimated HSMR values.

deterministic

quality-adjusted frontier analysis are available inEckermann and Coelli (2013).

Details of the estimationprocess can be found in operations research textbooks (e.g., Banker, Charnes,and Cooper 1984; Ramanathran and Ramanathan 2003)

Coursera and Udacity have the opportunity to develop successful business models through various means, such as charging MOOC provider institutions for use of their platform, by collecting fees for badges or certificates, through the sale of participant data, through corporate sponsorship, or through direct advertising

Num / Num summarizes a graph with nodes / arcs.

k - Nearest Neighbor Classifier

Concepts seem to be structurable, in that a new concept can be composed of an organization of established concepts. For present purposes, we can view a concept structure as something which we might try to develop on paper for ourselves or work with by conscious thought processes, or as something which we try to communicate to one another in serious discussion. We assume that, for a given unit of comprehension to be imparted, there is a concept structure (which can be consciously developed and displayed) that can be presented to an individual in such a way that it is mapped into a corresponding mental structure which provides the basis for that individual's "comprehending" behavior. Our working assumption also considers that some concept structures would be better for this purpose than others, in that they would be more easily mapped by the individual into workable mental structures, or in that the resulting mental structures enable a higher degree of comprehension and better solutions to problems, or both.

I blogged a while back about how “references” are often described as “addresses” when describing the semantics of the C# memory model. Though that’s arguably correct, it’s also arguably an implementation detail rather than an important eternal truth. Another memory-model implementation detail I often see presented as a fact is “value types are allocated on the stack”. I often see it because of course, that’s what our documentation says.

This awakens the idea that, in addition to the leaves, there exists in nature the "leaf": the original model according to which all the leaves were perhaps woven,