Results 181 to 190 of about 44,866 (226)

Why do people choose to enter and exit the teaching profession? An interdisciplinary quantitative synthesis

British Educational Research Journal, EarlyView.
Abstract Many nations experience recurring shortages of teachers in particular subjects, prompting concerns that pupils' education is suffering as a result. Researchers have responded by generating a sizable literature on the reasons for which people enter and exit the teaching profession.
Sam Sims, Harriet Lowes‐Belk, Clare Routledge   +2 more
wiley   +1 more source

Network topological reorganization mechanisms of primary visual cortex under multimodal stimulation. [PDF]

Front Neurosci
Li Z, Peng Z, He L, Zhu X, Hu D, Li M.
europepmc   +1 more source

Cascades Towards Noise-Induced Transitions on Networks Revealed Using Information Flows. [PDF]

Entropy (Basel)
van Elteren C, Quax R, Sloot PMA.
europepmc   +1 more source

Trends and Directions of Preference Elicitation and Assessment in Food Science: Single-, Pair-, and Multi-Criteria Ranking Methods. [PDF]

Food Sci Nutr
Sipos L, Galambosi Z, Biró P, Csató L, Bozóki S.   +4 more
europepmc   +1 more source

Disruptions in cortical circuit connectivity distinguish widespread hyperalgesia from localized pain. [PDF]

Front Pain Res (Lausanne)
Kenefati G, Rockholt MM, Eisert K, Zhang Q, Ok D, Gharibo CG, Voiculescu LD, Doan LV, Chen ZS, Wang J.   +9 more
europepmc   +1 more source

Two-dimensional coronene fractals: modified reverse degree indices, comparative analysis of information entropy and predictive modeling of spectral properties. [PDF]

Front Chem
Kalaam ARA, Greeni AB.
europepmc   +1 more source

Evoked slow oscillations and dynamic network reorganization after stroke. [PDF]

Brain Commun
Tscherpel C, Mustin M, Rosjat N, Mais LT, Ziemann U, Fink GR, Daun S, Grefkes C.   +7 more
europepmc   +1 more source

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A Comparison of Graph-Theoretic Approaches for Resilient System of Systems Design

Journal of Computing and Information Science in Engineering, 2022
System of Systems (SoS) are networked integration of constituent systems that together achieve new capabilities not possible through the operation of any single system.
Abheek Chatterjee, Cade Helbig, R. Malak, A. Layton   +3 more
semanticscholar   +1 more source

Are Graph Convolutional Networks With Random Weights Feasible?

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Graph Convolutional Networks (GCNs), as a prominent example of graph neural networks, are receiving extensive attention for their powerful capability in learning node representations on graphs. There are various extensions, either in sampling and/or node
Changqin Huang, Ming Li, F. Cao, Hamido Fujita, Zhao Li, Xindong Wu   +5 more
semanticscholar   +1 more source

Aspects of randomness in neural graph structures

Biological cybernetics, 2013
In the past two decades, significant advances have been made in understanding the structural and functional properties of biological networks, via graph-theoretic analysis. In general, most graph-theoretic studies are conducted in the presence of serious
Michelle Rudolph-Lilith, L. Muller
semanticscholar   +1 more source