Itwasprobablyowingtoourbeinghereticsthatwewerenotbetterreceived.

missing values are managed, without any pre-processing, by the model used to cluster with the assumption that values are missing completely at random.

Laboratoire Paragraphe

The Ultimate Guide to Python Type Checking

Type hints cheat sheet (Python 3)¶ This document is a quick cheat sheet showing how the PEP 484 type annotation notation represents various common types in Python 3.

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

Validations provided bySPLEmmainclude structural veri-cations onfms and mappings (YourCastdenes a meta-model for the denition of relationships) as well as correctconstruction ofContributions. As the previous evolutions in-volvefmchanges, we use generic preconditions related tofmconsistency

roblem Space(PS),containing feature models, can also need modicationson theConguration Knowledge(CK) or mappingsand theSolution Space(SS)

Currently, as soonas we let anyone contributing, we have to ensure thecorrectness of the code through continuous integrationservices.

a design briefing a development methodology or tools an interaction technique an interactive system a reflective analysis results from fieldwork and ethnography, e.g., findings, guidelines, etc. results from laboratory studies, e.g., findings, techniques, methods, etc. theory or model.

Pharmacologic Therapy for Type 2 Diabetes

You have to tell Java the type of the variable because Java needs to know how many bits to use and how to represent the value.

Cell-type deconvolution in epigenome-wide association studies: a review and recommendations

Limits of Peripheral Blood Mononuclear Cells for Gene Expression-Based Biomarkers

Robust enumeration of cell subsets from tissue expression profiles

Neurons within a type also tended to have the same dendritic arborization pattern and electrophysiological properties, but as for L23 interneurons, these properties were often not cell type–specific (figs. S3, C and F, and S4).

The remaining five types have not been previously described in L5, and we named them as follows: neurogliaform cells (L5NGCs), basket cells (L5BCs), shrub cells (SCs), horizontally elongated cells (HECs), and deep-projecting cells (DCs)

L23 Martinotti cells

owever, many of them (~60%) had atypical axonal projection patterns compared to those previously described for SBCs, and their axon arborized mostly within L1, with only one or two side branches extending to deep layers (not deeper than L4). Despite their variable axonal projection patterns, non-neurogliaform L1 neurons shared similar dendritic and electrophysiological features (tables S1 and S2) and similar connectivity profiles (table S3) that correspond to SBCs in rat somatosensory cortex (5, 12). We thus refer to this group as SBC-like cells

neurogliaform cells

Since ducks can both swim and fly, each duck is found twice inC, once labeled as aflyer and once labeled as a swimmer. The typesAandBare kept disjoint inC, whichjustifies the name “disjoint union.”

An aspect of a thingxis a way of viewing it, a particular way in whichxcan be regardedor measured. For example, a woman can be regarded as a person; hence “being a person”is an aspect of a woman. A molecule has a molecular mass (say in daltons), so “havinga molecular mass” is an aspect of a molecule. In other words, byaspectwe simply meana function. The domainAof the functionf:A—Bis the thing we are measuring, andthe codomain is the set of possible “answers” or results of the measurement.

We represent eachtype as a box containing asingular indefinite noun phrase.

In 1980 Joachim Lambek showed that the types and programs used in computerscience form a specific kind of category. This provided a new semantics for talking aboutprograms, allowing people to investigate how programs combine and compose to createother programs, without caring about the specifics of implementation. Eugenio Moggibrought the category theoretic notion of monads into computer science to encapsulateideas that up to that point were considered outside the realm of such theory.

The line breaking algorithm can also be used to correct the line breaks made by the browser. The easiest way to do is to split a text up into lines and adjust the CSS word-spacing property. Unfortunately, Webkit based browsers do not support sub-pixel word-spacing. Alternatively, we can absolute position each word or split the line into segmants with integer word spacing. You can see the latter approach in action on the Flatland line breaking example.

Chapter 1, The Art of Community We begin the book with a bird’s-eye view of how communities function at a social science level. We cover the underlying nuts and bolts of how people form communities, what keeps them involved, and the basis and opportunities behind these interactions. Chapter 2, Planning Your Community Next we carve out and document a blueprint and strategy for your community and its future growth. Part of this strategy includes the target objectives and goals and how the community can be structured to achieve them. PREFACE xix Chapter 3, Communicating Clearly At the heart of community is communication, and great communicators can have a tremendously positive impact. Here we lay down the communications backbone and the best practices associated with using it