A lightweight practical consensus mechanism for supply chain blockchain by Mohammad Saidur Rahman, Ibrahim Khalil, Mohammed Atiquzzaman, Abdelaziz Bouras

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On the sampling sparsity of analog-to-spike conversion based on leaky integrate-and-fire by Bernhard A Moser, Michael Lunglmayr

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Application research on classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO algorithm by Yongjian Dong

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Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

“…OptiNiSt includes the following features. 1) Researchers can easily create analysis pipelines by selecting multiple processing modules, tuning their parameters, and visualizing the results at each step through a graphic user interface in a web browser. 2) In addition to pre-installed tools, new analysis algorithms can be easily added. 3) Once a processing pipeline is designed, the entire workflow with its modules and parameters are stored in a YAML file, which makes the pipeline reproducible and deployable on high-performance computing clusters. 4) OptiNiSt can read image data in a variety of file formats and store the analysis results in NWB (Neurodata Without Borders), a standard data format for data sharing. …”
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bmdrc: Python package for quantifying phenotypes from chemical exposures with benchmark dose modeling. by David J Degnan, Lisa M Bramer, Lisa Truong, Robyn L Tanguay, Sara M Gosline, Katrina M Waters

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Applying individual strategies enhances learning in asynchronous learning paths by Sandra Drumm

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Linear-nonlinear cascades capture synaptic dynamics. by Julian Rossbroich, Daniel Trotter, John Beninger, Katalin Tóth, Richard Naud

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A Drop-in Replacement for LR(1) Table-Driven Parsing by Michael Oudshoorn

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Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

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Lateralised memory networks may explain the use of higher-order visual features in navigating insects. by Giulio Filippi, James Knight, Andrew Philippides, Paul Graham

“…The result is shown to be largely independent of model parameter values, therefore suggesting that some aspects of higher-order processing of a visual scene may be emergent from the structure of the neural circuits, rather than computed in discrete processing modules.…”
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Olfactory learning without the mushroom bodies: Spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied comp... by HaDi MaBouDi, Hideaki Shimazaki, Martin Giurfa, Lars Chittka

“…Olfactory stimuli are first processed in the antennal lobe, and then transferred to the mushroom body and lateral horn through dual pathways termed medial and lateral antennal lobe tracts (m-ALT and l-ALT). …”
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Traceability, reproducibility and wiki-exploration for "à-la-carte" reconstructions of genome-scale metabolic models. by Méziane Aite, Marie Chevallier, Clémence Frioux, Camille Trottier, Jeanne Got, María Paz Cortés, Sebastián N Mendoza, Grégory Carrier, Olivier Dameron, Nicolas Guillaudeux, Mauricio Latorre, Nicolás Loira, Gabriel V Markov, Alejandro Maass, Anne Siegel

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Sparse connectivity for MAP inference in linear models using sister mitral cells. by Sina Tootoonian, Andreas T Schaefer, Peter E Latham

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FLEM-XAI: Federated learning based real time ensemble model with explainable AI framework for an efficient diagnosis of lung diseases by Sivan Durga, Esther Daniel, Surleese Seetha, Vijaya Kumar Reshma, Vasily Sachnev

“…The computer-aided diagnosis helps medical professionals detect and classify lung diseases from chest X-rays by leveraging medical image processing and central server-based machine learning models. …”
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Full-length ribosome density prediction by a multi-input and multi-output model. by Tingzhong Tian, Shuya Li, Peng Lang, Dan Zhao, Jianyang Zeng

“…Most of the existing computational approaches for modeling translation elongation from ribosome profiling data mainly focus on local contextual patterns, while ignoring the continuity of the elongation process and relations between ribosome densities of remote codons. …”
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Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib by Messaoud MEZATI, Ines AOURIA

“…Among the most prominent ML libraries for large-scale data processing are Flink-ML, the machine learning extension of Apache Flink, and MLlib, the machine learning library of Apache Spark. …”
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Construction of a knowledge graph for framework material enabled by large language models and its application by Xuefeng Bai, Song He, Yi Li, Yabo Xie, Xin Zhang, Wenli Du, Jian-Rong Li

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lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data by Jordan Lubbers, Adam J.R. Kent, Chris Russo

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Molecular dynamics simulations reveal key roles of the LIF receptor in the assembly of human LIF signaling complex by Bo Gao, Hanrui Liu, Mengkai Zhu, Shun Zhang, Meiniang Wang, Yijun Ruan, Yue Zheng

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Machine Learning-Driven Dynamic Traffic Steering in 6G: A Novel Path Selection Scheme by Hibatul Azizi Hisyam Ng, Toktam Mahmoodi

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