Teaching oxidation states to neural networks by Cristiano Malica, Nicola Marzari

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Non-bulk-like solvent behavior in the ribosome exit tunnel. by Del Lucent, Christopher D Snow, Colin Echeverría Aitken, Vijay S Pande

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Phylogenetic diversity theory sheds light on the structure of microbial communities. by James P O'Dwyer, Steven W Kembel, Jessica L Green

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Noise management by molecular networks. by Frank J Bruggeman, Nils Blüthgen, Hans V Westerhoff

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Allosteric conformational change cascade in cytoplasmic dynein revealed by structure-based molecular simulations. by Shintaroh Kubo, Wenfei Li, Shoji Takada

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Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epile... by Irena Balzekas, Joshua Trzasko, Grace Yu, Thomas J Richner, Filip Mivalt, Vladimir Sladky, Nicholas M Gregg, Jamie Van Gompel, Kai Miller, Paul E Croarkin, Vaclav Kremen, Gregory A Worrell

“…Numerous physiological processes are cyclical, but sampling these processes densely enough to perform frequency decomposition and subsequent analyses can be challenging. …”
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Trial-type dependent frames of reference for value comparison. by Laurence T Hunt, Mark W Woolrich, Matthew F S Rushworth, Timothy E J Behrens

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Testing the limits of gradient sensing. by Vinal Lakhani, Timothy C Elston

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Post-Turing tissue pattern formation: Advent of mechanochemistry. by Felix Brinkmann, Moritz Mercker, Thomas Richter, Anna Marciniak-Czochra

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BEACON—automated aberration correction for scanning transmission electron microscopy using Bayesian optimization by Alexander J. Pattison, Stephanie M. Ribet, Marcus M. Noack, Georgios Varnavides, Kunwoo Park, Earl J. Kirkland, Jungwon Park, Colin Ophus, Peter Ercius

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A Graph-Based Learning Framework for Compiler Loop Auto-Vectorization by Yao Xiao, Nesreen K. Ahmed, Mihai Capotă, Guixiang Ma, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

“…The single instruction multiple data (SIMD) capability in modern processors is critical to improving the performance of current compute-intensive programs. …”
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Robotics in higher education and its impact on digital learning by Patrick Zamora, Alan Lozada, Jorge Buele, Fátima Avilés-Castillo

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A prediction tool for plaque progression based on patient-specific multi-physical modeling. by Jichao Pan, Yan Cai, Liang Wang, Akiko Maehara, Gary S Mintz, Dalin Tang, Zhiyong Li

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Modeling autonomous shifts between focus state and mind-wandering using a predictive-coding-inspired variational recurrent neural network by Henrique Oyama, Takazumi Matsumoto, Jun Tani

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An Experimental Study of Sub-1 GHz Frequency-Hopping-Based 6LoWPAN Mesh Networking for Smart-Grid Applications by Wonsoo Kim, Kumaran Vijayasankar, Mickael Chouteau, Jianwei Zhou

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Discovering biological progression underlying microarray samples. by Peng Qiu, Andrew J Gentles, Sylvia K Plevritis

“…In biological systems that undergo processes such as differentiation, a clear concept of progression exists. …”
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The dynamic brain: from spiking neurons to neural masses and cortical fields. by Gustavo Deco, Viktor K Jirsa, Peter A Robinson, Michael Breakspear, Karl Friston

“…Computational models at different space-time scales help us understand the fundamental mechanisms that underpin neural processes and relate these processes to neuroscience data. …”
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Immune-mediated competition in rodent malaria is most likely caused by induced changes in innate immune clearance of merozoites. by Jayanthi Santhanam, Lars Råberg, Andrew F Read, Nicholas Jon Savill

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Optimizing the learning rate for adaptive estimation of neural encoding models. by Han-Lin Hsieh, Maryam M Shanechi

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Integration of a physiologically-based pharmacokinetic model with a whole-body, organ-resolved genome-scale model for characterization of ethanol and acetaldehyde metabolism. by Leo Zhu, William Pei, Ines Thiele, Radhakrishnan Mahadevan

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