Expanding and improving analyses of nucleotide recoding RNA-seq experiments with the EZbakR suite. by Isaac W Vock, Justin W Mabin, Martin Machyna, Alexandra Zhang, J Robert Hogg, Matthew D Simon

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Elucidating relationships between P.falciparum prevalence and measures of genetic diversity with a combined genetic-epidemiological model of malaria. by Jason A Hendry, Dominic Kwiatkowski, Gil McVean

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A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States. by John M Drake, Andreas Handel, Éric Marty, Eamon B O'Dea, Tierney O'Sullivan, Giovanni Righi, Andrew T Tredennick

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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

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Molecular evolution of peptide ligands with custom-tailored characteristics for targeting of glycostructures. by Niels Röckendorf, Markus Borschbach, Andreas Frey

“…As an advanced approach to identify suitable targeting molecules required for various diagnostic and therapeutic interventions, we developed a procedure to devise peptides with customizable features by an iterative computer-assisted optimization strategy. …”
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MLP-UNet: an algorithm for segmenting lesions in breast and thyroid ultrasound images by Tian-feng Dong, Chang-jiang Zhou, Zhen-yi Huang, Hao Zhao, Xue-long Wang, Shi-ju Yan

“…Attention module is a lightweight employed during the skip connections to enhance feature representation. Using only using 33.75 M parameters, MLP-UNet achieves state-of-the-art segmentation performance. …”
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Deep vision-based real-time hand gesture recognition: a review by Cui Cui, Mohd Shahrizal Sunar, Goh Eg Su

“…The choice of evaluation metrics and dataset is critical since different tasks require different evaluation parameters, and the model learns more patterns and features from diverse data. …”
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An off-lattice discrete model to characterise filamentous yeast colony morphology. by Kai Li, J Edward F Green, Hayden Tronnolone, Alexander K Y Tam, Andrew J Black, Jennifer M Gardner, Joanna F Sundstrom, Vladimir Jiranek, Benjamin J Binder

“…The colony size at the transition from sated to pseudohyphal growth, and a forking mechanism for pseudohyphal cell proliferation are the key features driving colony morphology. Simulations run with the most likely inferred parameters produce colony morphologies that closely resemble experimental results.…”
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Bistability and oscillations in the Huang-Ferrell model of MAPK signaling. by Liang Qiao, Robert B Nachbar, Ioannis G Kevrekidis, Stanislav Y Shvartsman

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In silico identification of potential calcium dynamics and sarcomere targets for recovering left ventricular function in rat heart failure with preserved ejection fraction. by Stefano Longobardi, Anna Sher, Steven A Niederer

“…The model simulated left ventricular (LV) pressure-volume loops that were described by 14 scalar features. We trained a Gaussian process emulator to map the 16 input parameters to each of the 14 outputs. …”
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A lightweight fabric defect detection with parallel dilated convolution and dual attention mechanism by Zheqing Zhang, Kezhong Lu, Gaoming Yang

“…Furthermore, a lightweight cross-stage partial (CSP) layer was deployed by dual convolution for feature fusion, reducing redundant parameters to further lighten the model. …”
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iSeizdiag: toward the framework development of epileptic seizure detection for healthcare by Ashish Sharma, Ashish Sharma, Akshat Saxena, Mradul Agrawal, Kunal Kishor, Deepti Kaushik, Prateek Jain, Arvind R. Yadav, Manob Jyoti Saikia, Manob Jyoti Saikia

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Traffic Scene Depth Analysis Based on Depthwise Separable Convolutional Neural Network by Jianzhong Yuan, Wujie Zhou, Sijia Lv, Yuzhen Chen

“…At the same time, they require reduced computational cost and fewer parameter numbers while providing a similar level (or slightly better) computing performance. …”
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A Time Delay Prediction Model of 5G Users Based on the BiLSTM Neural Network Optimized by APSO-SD by Xiaozheng Dang, Di He, Cong Xie

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ScITree: Scalable Bayesian inference of transmission tree from epidemiological and genomic data. by Hannah Waddel, Katia Koelle, Max S Y Lau

“…We develop a computationally-efficient data-augmentation Markov Chain Monte Carlo algorithm, inferring key model parameters and unobserved dynamics including the transmission tree. …”
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Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models. by Wyatt G Madden, Wei Jin, Benjamin Lopman, Andreas Zufle, Benjamin Dalziel, C Jessica E Metcalf, Bryan T Grenfell, Max S Y Lau

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Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

“…Moreover, our approach incorporates a randomized SVD alongside a newly developed SVD with row reduction (SVD-RR) method, which aims to manage datasets with many rows and features efficiently. This computational efficiency is crucial in developing a generalized model that requires repeated training over various parameters to balance bias and variance. …”
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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

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Stimulating at the right time to recover network states in a model of the cortico-basal ganglia-thalamic circuit. by Timothy O West, Peter J Magill, Andrew Sharott, Vladimir Litvak, Simon F Farmer, Hayriye Cagnan

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Bayesian identification of differentially expressed isoforms using a novel joint model of RNA-seq data. by Xu Shi, Xiao Wang, Lu Jin, Leena Halakivi-Clarke, Robert Clarke, Andrew F Neuwald, Jianhua Xuan

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