Analysis of a Malaria Transmission Model with Vaccination Proportion and Vaccine-Induced Immunity by Samuel M. Naandam, Paul Chataa, Gideon K. Gogovi

Get full text

Modelling-informed cell-seeded nerve repair construct designs for treating peripheral nerve injuries. by Rachel Coy, Maxime Berg, James B Phillips, Rebecca J Shipley

Get full text

A Bayesian approach to quantifying the effects of mass poultry vaccination upon the spatial and temporal dynamics of H5N1 in Northern Vietnam. by Patrick G T Walker, Simon Cauchemez, Raphaëlle Métras, Do Huu Dung, Dirk Pfeiffer, Azra C Ghani

Get full text

Predicting antimicrobial mechanism-of-action from transcriptomes: A generalizable explainable artificial intelligence approach. by Josh L Espinoza, Chris L Dupont, Aubrie O'Rourke, Sinem Beyhan, Pavel Morales, Amy Spoering, Kirsten J Meyer, Agnes P Chan, Yongwook Choi, William C Nierman, Kim Lewis, Karen E Nelson

Get full text

Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap). by Reyhaneh Abbasi, Peter Balazs, Maria Adelaide Marconi, Doris Nicolakis, Sarah M Zala, Dustin J Penn

Get full text

Application of big data technology in visitor behavioral characteristics identification and energy efficiency assessment of intelligent scenic spots by Wei Zhou, Jin Cui

Get full text

Incomplete Lineage Sorting and Hybridization Statistics for Large-Scale Retroposon Insertion Data. by Andrej Kuritzin, Tabea Kischka, Jürgen Schmitz, Gennady Churakov

Get full text

Statistical resolution of ambiguous HLA typing data. by Jennifer Listgarten, Zabrina Brumme, Carl Kadie, Gao Xiaojiang, Bruce Walker, Mary Carrington, Philip Goulder, David Heckerman

“…In this paper, we introduce and evaluate a method for statistical, in silico refinement of ambiguous and/or low-resolution HLA data. …”
Get full text

Agent-based modeling of the central amygdala and pain using cell-type specific physiological parameters. by Rachael Miller Neilan, Gabrielle Majetic, Mauricio Gil-Silva, Anisha P Adke, Yarimar Carrasquillo, Benedict J Kolber

“…As data have accumulated in this research space, we recognized a critical need for a single framework to integrate these data and evaluate emergent system-level responses. In this manuscript, we present an agent-based computational model of two distinct inhibitory neuron populations in the amygdala, those that express protein kinase C delta (PKCδ) and those that express somatostatin (SOM). …”
Get full text

Prefrontal meta-control incorporating mental simulation enhances the adaptivity of reinforcement learning agents in dynamic environments by JiHun Kim, Jee Hang Lee, Jee Hang Lee, Jee Hang Lee

“…Rooted from these neuroscientific insights, we present Meta-Dyna, a novel neuroscience-inspired reinforcement learning architecture that demonstrates rapid adaptation to environmental dynamics whilst managing variable goal states and state-transition uncertainties.MethodsThis architectural framework implements prefrontal meta-control mechanisms integrated with hippocampal replay function, which in turn optimized task performance with limited experiences. We evaluated this approach through comprehensive experimental simulations across three distinct paradigms: the two-stage Markov decision task, which frequently serves in human learning and decision-making research; stochastic GridWorldLoCA, an established benchmark suite for model-based reinforcement learning; and a stochastic Atari Pong variant incorporating multiple goals under uncertainty.ResultsExperimental results demonstrate Meta-Dyna's superior performance compared with baseline reinforcement learning algorithms across multiple metrics: average reward, choice optimality, and a number of trials for success.DiscussionsThese findings advance our understanding of computational reinforcement learning whilst contributing to the development of brain-inspired learning agents capable of flexible, goal-directed behavior within dynamic environments.…”
Get full text

Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis. by Jörn Diedrichsen, Nikolaus Kriegeskorte

“…The three methods render different aspects of the information explicit (e.g. single-response tuning in encoding analysis and population-response representational dissimilarity in RSA) and have specific advantages in terms of computational demands, ease of use, and extensibility. …”
Get full text

BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo. by Hongliang Li, Bin Liu

“…However, the exiting computational methods failed to accurately analyse the biological sequence similarities because of the various data types (DNA, RNA, protein, disease, etc) and their low sequence similarities (remote homology). …”
Get full text

DNA familial binding profiles made easy: comparison of various motif alignment and clustering strategies. by Shaun Mahony, Philip E Auron, Panayiotis V Benos

Get full text

Inference and dynamic simulation of malaria using a simple climate-driven entomological model of malaria transmission. by Israel Ukawuba, Jeffrey Shaman

Get full text

Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios. by Henrik Zunker, René Schmieding, David Kerkmann, Alain Schengen, Sophie Diexer, Rafael Mikolajczyk, Michael Meyer-Hermann, Martin J Kühn

Get full text

Infectious disease modeling of social contagion in networks. by Alison L Hill, David G Rand, David G Rand, Martin A Nowak, Nicholas A Christakis

Get full text

Balancing central control and sensory feedback produces adaptable and robust locomotor patterns in a spiking, neuromechanical model of the salamander spinal cord. by Alessandro Pazzaglia, Andrej Bicanski, Andrea Ferrario, Jonathan Arreguit, Dimitri Ryczko, Auke Ijspeert

Get full text

Redox poise in R. rubrum phototrophic growth drives large-scale changes in macromolecular pathways. by William R Cannon, Ethan King, Katherine A Huening, Justin A North

Get full text

TwinCons: Conservation score for uncovering deep sequence similarity and divergence. by Petar I Penev, Claudia Alvarez-Carreño, Eric Smith, Anton S Petrov, Loren Dean Williams

Get full text

Reciprocal interaction between IK1 and If in biological pacemakers: A simulation study. by Yacong Li, Kuanquan Wang, Qince Li, Jules C Hancox, Henggui Zhang

“…The dedicated interplay between IK1 and If in generating stable pacemaking and dysrhythmias was evaluated. Finally, a theoretical analysis in the IK1/If parameter space for generating pacemaking action potentials in different states was provided. …”
Get full text