Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning by Sarah Dandou, Kriti Amin, Véronique D’Hondt, Jérôme Solassol, Olivier Dereure, Peter J. Coopman, Ovidiu Radulescu, Holger Fröhlich, Romain M. Larive

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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…We developed a python package called mbctools, designed to offer a cross-platform tool for processing amplicon data from various organisms in the context of metabarcoding studies. …”
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ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS by A. A. Sheinikov, Yu. V. Suchodolov, V. V. Zelenko

“…Automatic accounting of these errors makes it possible to do without complex correlation processing of quasi-periodic signals that require large computing resources (time and speed of data processing, the amount of RAM) and to ensure the accuracy of measurements.…”
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European Native Oyster Reef Ecosystems Are Universally Collapsed by Philine S. E. zu Ermgassen, Hannah McCormick, Alison Debney, José M. Fariñas‐Franco, Celine Gamble, Chris Gillies, Boze Hancock, Ane T. Laugen, Stéphane Pouvreau, Joanne Preston, William G. Sanderson, Åsa Strand, Ruth H. Thurstan

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Bridging the gaps in the global governance of antimicrobial resistance: the UN sustainable development goals and global health security agenda [version 2; peer review: 2 approved] by Soumyo Mukherji, Andrew Hursthouse, Anjali Parasnis, Suparna Mukherji, Fiona Henriquez, Kavita Sachwani, Regina Esiovwa, John Connolly

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Advancements in photovoltaic technology: A comprehensive review of recent advances and future prospects by Abdelrahman O. Ali, Abdelrahman T. Elgohr, Mostafa H. El-Mahdy, Hossam M. Zohir, Ahmed Z. Emam, Mostafa G. Mostafa, Muna Al-Razgan, Hossam M. Kasem, Mohamed S. Elhadidy

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Impact of industry 4.0 technologies on the oil palm industry: A literature review by Mohamad Akmal Mohamad Zaki, Jecksin Ooi, Wendy Pei Qin Ng, Bing Shen How, Hon Loong Lam, Dominic C.Y. Foo, Chun Hsion Lim

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Decoding memory with explainable AI: A large-scale EEG-based machine learning study of encoding vs. retrieval by Mohammed Tawshif Hossain, Adnan Sami Sarker, Arnab Chowdhury, Rajesh Mitra, Raiyan Rahman, M.R.C. Mahdy

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A secure routing protocol for improving the energy efficiency in wireless sensor network applications for industrial manufacturing by Edeh Michael Onyema, S. Kanimozhi Suguna, B. Sundaravadivazhagan, Rutvij H. Jhaveri, Ugwuja Nnenna Esther, Edeh Chinecherem Deborah, K. Shantha Kumari

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Optimization method of building energy efficiency design based on decomposition multi objective and agent assisted model by Bai Chaoqin, Yang Zhuoyue

“…Meanwhile, by combining proxy assisted modeling and utilizing proxy models to approximate actual physical processes or performance evaluations, the computational cost is reduced and the optimization process is accelerated. …”
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Nonlinear Spring-Mass-Damper Modeling and Parameter Estimation of Train Frontal Crash Using CLGAN Model by Shaodi Dong, Zhao Tang, Xiaosong Yang, Michelle Wu, Jianjun Zhang, Tao Zhu, Shoune Xiao

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New Approaches for the Use of Extended Mock-Ups for the Development of Air Traffic Controller Working Positions by Lennard Nöhren, Lukas Tyburzy, Marco-Michael Temme, Kathleen Muth, Thomas Hofmann, Deike Heßler, Felix Tenberg, Eilert Viet, Michael Wimmer

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Fusion-Based Deep Learning Approach for Renal Cell Carcinoma Subtype Detection Using Multi-Phasic MRI Data by Gulhan Kilicarslan, Dilber Cetintas, Taner Tuncer, Muhammed Yildirim

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Enhancing Heterogeneous Multi-Robot Teaming for Planetary Exploration by Amrita Suresh, Melvin Laux, Wiebke Brinkmann, Leon C. Danter, Frank Kirchner

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Characterization of antibiotic resistance genes in soils from agroecosystems of the Brazilian Amazon by Taynara Cristina Santos Tavares, Lívia Freitas da Silva Pinto, Oscar Victor Cardenas-Alegria, Carlos William Dias Dantas, Sandro Patroca da Silva, Ana Cecília Ribeiro Cruz, Aníbal Coutinho do Rêgo, Hervé Louis Ghislain Rogez, Rommel Thiago Juca Ramos, Cristian Faturi, Adriana Ribeiro Carneiro Nunes

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Lightweight construction safety behavior detection model based on improved YOLOv8 by Kan Huang, Mideth B. Abisado

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Multi-gate neuron-like transistors based on ensembles of aligned nanowires on flexible substrates by João Neto, Abhishek Singh Dahiya, Ravinder Dahiya

“…Abstract The intriguing way the receptors in biological skin encode the tactile data has inspired the development of electronic skins (e-skin) with brain-inspired or neuromorphic computing. Starting with local (near sensor) data processing, there is an inherent mechanism in play that helps to scale down the data. …”
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AI generations: from AI 1.0 to AI 4.0 by Jiahao Wu, Hengxu You, Jing Du

“…Each AI generation is driven by shifting priorities among algorithms, computing power, and data. AI 1.0 accompanied breakthroughs in pattern recognition and information processing, fueling advances in computer vision, natural language processing, and recommendation systems. …”
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PROFESSIONAL AND PEDAGOGICAL COMMUNICATION OF TEACHERS OF HIGHER EDUCATION INSTITUTIONS: CHALLENGES OF WAR by Nataliia P. Volkova, Olha V. Lebid

“…Emphasis is placed on establishing effective interaction of participants in the educational process through the organization of personality-oriented, emotional and supportive communication, based on impartiality, sincere interest, support, care for each other; shifting the emphasis in the educational process from teaching to learning, organizing the teaching process not as a transition of information, but as facilitation of the processes of meaningful and conscious learning. …”
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Adsorption isotherms in roasted specialty coffee (Coffea arabica L.): Dataset and statistical tools for optimizing storage conditions and enhancing shelf lifeMendeley Data by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…The calibrated models could be used to optimize coffee storage processes and improve the understanding of water sorption behavior in different particle sizes. …”
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