WordNet

with respect to graphic aspects; "graphically interesting designs"
in a graphic way; "he described the event graphically"
make a schematic or technical drawing of that shows interactions among variables or how something is constructed (同)plot
a drawing intended to explain how something works; a drawing showing the relation between the parts
plan in detail; "Bush is charting a course to destroy Saddam Hussein"
a map designed to assist navigation by air or sea
a visual display of information
make a chart of; "chart the territory"
shown or represented by diagrams (同)diagrammatical
with regard to topography; "the geological environment is the primary factor in determining the character of a country not only topographically but historically"
by photographic means; "photographically recorded scenes"
with respect to geography; "they are geographically closer to the center of town"
in an idiographic manner; "its written ideographically"

PrepTutorEJDIC

説明図,略図;図表,予定表,グラフ;図解 / …‘を'図解する,図示する,‘の'図表を作る
『海図』,水路図 / 『図表』 / …'を'図表(海図)に作る / 《話》〈行動など〉'を'計画する(plan)
図表(図式)で表した,図表(図式)の
写真術によって;写真のように
=graphic

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1. 生物統計学および疫学に関する一般用語集 glossary of common biostatistical and epidemiological terms
2. 従来の胸部X線によるびまん性肺疾患の評価 evaluation of diffuse lung disease by conventional chest radiography
3. 成人における単極性うつ病：予後および経過 unipolar depression in adults prognosis and course of illness
4. システマティックレビューおよびメタアナリシス systematic review and meta analysis
5. 正常な加齢 normal aging

English Journal

FitzHugh-Nagumo equations with generalized diffusive coupling.

Cattani A.Author information Department of Mathematical Sciences, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. anna.cattani@polito.it.AbstractThe aim of this work is to investigate the dynamics of a neural network, in which neurons, individually described by the FitzHugh-Nagumo model, are coupled by a generalized diffusive term. The formulation we are going to exploit is based on the general framework of graph theory. With the aim of defining the connection structure among the excitable elements, the discrete Laplacian matrix plays a fundamental role. In fact, it allows us to model the instantaneous propagation of signals between neurons, which need not be physically close to each other. This approach enables us to address three fundamental issues. Firstly, each neuron is described using the well-known FitzHugh-Nagumo model which might allow to differentiate their individual behaviour. Furthermore, exploiting the Laplacian matrix, a well defined connection structure is formalized. Finally, random networks and an ensemble of excitatory and inhibitory synapses are considered. Several simulations are performed to graphically present how dynamics within a network evolve. Thanks to an appropriate initial stimulus a wave is created: it propagates in a self-sustained way through the whole set of neurons. A novel graphical representation of the dynamics is shown.
Mathematical biosciences and engineering : MBE.Math Biosci Eng.2014 Apr 1;11(2):203-15. doi: 10.3934/mbe.2014.11.203.
The aim of this work is to investigate the dynamics of a neural network, in which neurons, individually described by the FitzHugh-Nagumo model, are coupled by a generalized diffusive term. The formulation we are going to exploit is based on the general framework of graph theory. With the aim of defi
PMID 24245715

Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers.

Austin PC, Steyerberg EW.Author information Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada; Institute of Health Management, Policy and Evaluation, University of Toronto, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Canada.AbstractPredicting the probability of the occurrence of a binary outcome or condition is important in biomedical research. While assessing discrimination is an essential issue in developing and validating binary prediction models, less attention has been paid to methods for assessing model calibration. Calibration refers to the degree of agreement between observed and predicted probabilities and is often assessed by testing for lack-of-fit. The objective of our study was to examine the ability of graphical methods to assess the calibration of logistic regression models. We examined lack of internal calibration, which was related to misspecification of the logistic regression model, and external calibration, which was related to an overfit model or to shrinkage of the linear predictor. We conducted an extensive set of Monte Carlo simulations with a locally weighted least squares regression smoother (i.e., the loess algorithm) to examine the ability of graphical methods to assess model calibration. We found that loess-based methods were able to provide evidence of moderate departures from linearity and indicate omission of a moderately strong interaction. Misspecification of the link function was harder to detect. Visual patterns were clearer with higher sample sizes, higher incidence of the outcome, or higher discrimination. Loess-based methods were also able to identify the lack of calibration in external validation samples when an overfit regression model had been used. In conclusion, loess-based smoothing methods are adequate tools to graphically assess calibration and merit wider application. Copyright © 2013 John Wiley & Sons, Ltd.
Statistics in medicine.Stat Med.2014 Feb 10;33(3):517-35. doi: 10.1002/sim.5941. Epub 2013 Aug 23.
Predicting the probability of the occurrence of a binary outcome or condition is important in biomedical research. While assessing discrimination is an essential issue in developing and validating binary prediction models, less attention has been paid to methods for assessing model calibration. Cali
PMID 24002997

Breakfast consumption and physical activity in adolescents: daily associations and hourly patterns.

Corder K, van Sluijs EM, Ridgway CL, Steele RM, Prynne CJ, Stephen AM, Bamber DJ, Dunn VJ, Goodyer IM, Ekelund U.Author information UK Clinical Research Collaboration Centre for Diet and Activity Research (KC and EMFvS), Medical Research Council (MRC) Epidemiology Unit (KC, CLR, RMS, EMFvS, and UE), University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, United Kingdom; the MRC Human Nutrition Research, Elsie Widdowson Laboratory, Cambridge, United Kingdom (CJP and AMS); the Developmental Psychiatry Section, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (DJB, VJD, and IMG); and the Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway (UE).AbstractBACKGROUND: The association between breakfast consumption and physical activity (PA) is inconclusive.
The American journal of clinical nutrition.Am J Clin Nutr.2014 Feb;99(2):361-8. doi: 10.3945/ajcn.111.027607. Epub 2013 Nov 27.
BACKGROUND: The association between breakfast consumption and physical activity (PA) is inconclusive.OBJECTIVE: We aimed to investigate daily associations and hourly patterns of PA and breakfast consumption in British adolescents.DESIGN: Daily PA [accelerometry-derived moderate and vigorous physical
PMID 24284440

Learning with interactive computer graphics in the undergraduate neuroscience classroom.

Pani JR, Chariker JH, Naaz F, Mattingly W, Roberts J, Sephton SE.Author information Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, 40292, USA, jrpani@louisville.edu.AbstractInstruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscience classroom. The system used the method of adaptive exploration, in which exploration in a high fidelity graphical environment is integrated with immediate testing and feedback in repeated cycles of learning. The results of this study were that students considered the graphical learning environment to be superior to typical classroom materials used for learning neuroanatomy. Students managed the frequency and duration of study, test, and feedback in an efficient and adaptive manner. For example, the number of tests taken before reaching a minimum test performance of 90 % correct closely approximated the values seen in more regimented experimental studies. There was a wide range of student opinion regarding the choice between a simpler and a more graphically compelling program for learning sectional anatomy. Course outcomes were predicted by individual differences in the use of the software that reflected general work habits of the students, such as the amount of time committed to testing. The results of this introduction into the classroom are highly encouraging for development of computer-based instruction in biomedical disciplines.
Advances in health sciences education : theory and practice.Adv Health Sci Educ Theory Pract.2014 Jan 22. [Epub ahead of print]
Instruction of neuroanatomy depends on graphical representation and extended self-study. As a consequence, computer-based learning environments that incorporate interactive graphics should facilitate instruction in this area. The present study evaluated such a system in the undergraduate neuroscienc
PMID 24449123

Japanese Journal

国際協働プロジェクト参加を通しての「学びの質」

関西大学外国語学部紀要 (15), 33-50, 2016-10
NAID 120005851795

教育用運動シミュレーションシステム(DSS)を用いた運動・振動問題学習プログラム

広島商船高等専門学校紀要 38, 117-128, 2016-03-30
NAID 110010031752

空間体験に基づいた心地よいシークエンスの身体的な図式の表現方法に関する研究

日本建築学会計画系論文集 81(724), 1281-1290, 2016
NAID 130005160934

Peristaltic Tube Flow of a Giesekus Fluid

日本レオロジー学会誌 44(2), 99-108, 2016
NAID 130005152411

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★リンクテーブル★

リンク元	「diagram」「図表」「chart」「diagrammatic」
拡張検索	「radiographically」「electrocardiographically」「crystallographically」「roentgenographically occult lung cancer」
関連記事	「graphical」