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

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Activation of parallel fiber feedback by spatially diffuse stimuli reduces signal and noise correlations via independent mechanisms in a cerebellum-like structure. by Benjamin Simmonds, Maurice J Chacron

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Multi-criteria group decision-making using ambiguous sets, Weibull distribution, and aggregation operators: A case study in optimal vendor selection for office supplies by Pritpal Singh, T.W. Liao

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Intelligent long jump evaluation system integrating blazepose human pose assessment algorithm in higher education sports teaching by Tao Wang

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Shaping embodied neural networks for adaptive goal-directed behavior. by Zenas C Chao, Douglas J Bakkum, Steve M Potter

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On the origins of suboptimality in human probabilistic inference. by Luigi Acerbi, Sethu Vijayakumar, Daniel M Wolpert

“…Instead we show that subjects' response variability was mainly driven by a combination of a noisy estimation of the parameters of the priors, and by variability in the decision process, which we represent as a noisy or stochastic posterior.…”
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The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity by Hui Zheng, Eric Sivonxay, Rasmus Christensen, Max Gallant, Ziyao Luo, Matthew McDermott, Patrick Huck, Morten M. Smedskjær, Kristin A. Persson

“…These models predict the Li-ion diffusivity with speed and accuracy, offering a cost-effective alternative to expensive density functional theory (DFT) calculations. Furthermore, the process of computational quenching non-crystalline structures provides a unique sampling of out-of-equilibrium structures, energies, and force landscape, and we anticipate that the corresponding trajectories will inform future work in universal machine learning potentials, impacting design beyond that of non-crystalline materials. …”
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Bayesian classification of OXPHOS deficient skeletal myofibres. by Jordan Childs, Tiago Bernardino Gomes, Amy E Vincent, Andrew Golightly, Conor Lawless

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AnophelesModel: An R package to interface mosquito bionomics, human exposure and intervention effects with models of malaria intervention impact. by Monica Golumbeanu, Olivier Briët, Clara Champagne, Jeanne Lemant, Munir Winkel, Barnabas Zogo, Maximilian Gerhards, Marianne Sinka, Nakul Chitnis, Melissa Penny, Emilie Pothin, Tom Smith

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Novel hybrid integrated Pix2Pix and WGAN model with Gradient Penalty for binary images denoising by Luca Tirel, Ali Mohamed Ali, Hashim A. Hashim

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Evolutionary divergence of induced versus constitutive antiviral gene expression levels between primates and rodents. by Lilach Schneor, Dafna Tussia-Cohen, Evgeny Fraimovitch, Sivan Friedman, Tzachi Hagai

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Optimal experimental design for parameter estimation of a cell signaling model. by Samuel Bandara, Johannes P Schlöder, Roland Eils, Hans Georg Bock, Tobias Meyer

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A benchmark dataset and methodology for fine grained vehicle make and model classification by Sobia Hayee, Fawad Hussain, Muhammad Haroon Yousaf, Muhammad Haroon Yousaf, Muhammad Yasir, Shahzor Ahmad, Serestina Viriri

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Measures of learner-generative ai relationships by Sung-Hee Jin

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Bayesian inference of structured latent spaces from neural population activity with the orthogonal stochastic linear mixing model. by Rui Meng, Kristofer E Bouchard

“…Here, we developed a new latent process Bayesian regression framework, the orthogonal stochastic linear mixing model (OSLMM) which introduces an orthogonality constraint amongst time-varying mixture coefficients, and provide Markov chain Monte Carlo inference procedures. …”
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A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy by Mohammad Rafiqur Rashid, Sourav Kumar Ghosh, Md. Fahim Bin Alam, Mohammad Faizur Rahman

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Capturing the emergent dynamical structure in biophysical neural models. by Borjan Milinkovic, Lionel Barnett, Olivia Carter, Anil K Seth, Thomas Andrillon

“…This work also provides a complete computational implementation for the identification of emergent neural dynamics that could be applied both in silico and in vivo.…”
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Trusted access control mechanism for data with blockchain-assisted attribute encryption by Chang Liu, Dong Wang, Da Li, Shaoyong Guo, Wenjing Li, Xuesong Qiu

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High-throughput discovery of perturbation-induced topological magnons by Mohammed J. Karaki, Ahmed E. Fahmy, Archibald J. Williams, Sara Haravifard, Joshua E. Goldberger, Yuan-Ming Lu

“…Abstract Topological magnons give rise to possibilities for engineering novel spintronics devices with critical applications in quantum information and computation, due to their symmetry-protected robustness and low dissipation. …”
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The uptake of urban digital twins in the built environment: a pathway to resilient and sustainable cities by Hossein Omrany, Armin Mehdipour, Daniel Oteng, Karam M. Al-Obaidi

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