Highly multiplexed molecular inversion probe panel in Plasmodium falciparum targeting common SNPs approximates whole-genome sequencing assessments for selection and relatedness by Karamoko Niaré, Karamoko Niaré, Rebecca Crudale, Abebe A. Fola, Abebe A. Fola, Neeva Wernsman Young, Victor Asua, Victor Asua, Melissa D. Conrad, Pierre Gashema, Anita Ghansah, Stan Hangi, Deus S. Ishengoma, Deus S. Ishengoma, Jean-Baptiste Mazarati, Ayalew Jejaw Zeleke, Philip J. Rosenthal, Abdoulaye A. Djimdé, Abdoulaye A. Djimdé, Jonathan J. Juliano, Jonathan J. Juliano, Jonathan J. Juliano, Jeffrey A. Bailey, Jeffrey A. Bailey

“…Targeted approaches selectively enriching for the sequence of interest are more affordable and have higher throughput but sometimes lack adequate information content for key analyses.MethodsWe have developed a highly multiplexed molecular inversion probe (MIP) panel (IBC2FULL) targeting 4,264 single-nucleotide polymorphisms (SNPs) with ≥5% minor allele frequency (MAF) in Sub-Saharan African regions from publicly available Plasmodium falciparum WGS (n = 3,693). We optimized the panel alone and in combination with antimalarial drug resistance MIPs in laboratory P. falciparum strains at different parasitemias and validated it by sequencing field isolates from the Democratic Republic of Congo, Ethiopia, Ghana, Mali, Rwanda, Tanzania, and Uganda and evaluating the population structure, identity-by-descent (IBD), signals of selection, and complexity of infection (COI).ResultsThe new panel IBC2FULL consisted of 2,128 MIPs (containing 4,264 common SNPs) spaced by 5.1–18.4 kb across the entire genome. …”
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Building a machine learning-based risk prediction model for second-trimester miscarriage by Sangsang Qi, Shi Zheng, Mengdan Lu, Aner Chen, Yanbo Chen, Xianhu Fu

“…Seven machine-learning models were built and subjected to a comprehensive analysis to validate and evaluate their predictive capabilities. Through this rigorous assessment, the optimal model was selected. …”
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In vitro model of bacterial biofilm mineralization in complex humid environments: a proof of concept study by L. Zorzetto, S. Hammer, S. Paris, C. M. Bidan

“…BackgroundBacteria in physiological environments can generate mineralizing biofilms, which are associated with diseases like periodontitis or kidney stones. …”
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Autonomous spatial mapping and analysis of heterogeneous ambient sensor data in factories by Sebastian Thiede, Leicai Xiao, Poorya Ghafoorpoor Yazdi

“…It was validated in a factory setting with five ambient sensor data maps, and the evaluation of 12 spatial mapping methods revealed optimal interpolation techniques for different variables. …”
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Evolving Camouflages: A User-Centric AI Approach for Game Aesthetics by Rasmus Ploug, Emil Rimer, Anthon Kristian Skov Petersen, Marco Scirea, Joseph Alexander Brown

“…Artificial intelligence (AI) can create icons, skins, and camouflages for games. An optimal implementation of such a concept might provide new and more advanced features that benefit the user experience. …”
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Edge-based detection and localization of adversarial oscillatory load attacks orchestrated by compromised EV charging stations by Khaled Sarieddine, Mohammad Ali Sayed, Sadegh Torabi, Ribal Atallah, Chadi Assi

“…The proposed detection approach was evaluated by building a real-time test bed to synthesize benign and malicious data, which was generated by analyzing real-life EV charging data collected during recent years. …”
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Design of a novel noise resilient algorithm for fault detection in wind turbines on supervisory control and data acquisition system by Muhammad Irfan, Nabeel Ahmed Khan, Muhammad Abubakar, Zohaib Mushtaq, Tomasz Jakubowski, Paweł Sokołowski, Grzegorz Nawalany, Saifur Rahman

“…The P-RF algorithm achieved 99.72% accuracy in diagnosing the status of the SCADA-based wind turbine although with a slightly higher computational complexity than a baseline Random Forest algorithm. Multiple Evaluation metrics were employed to assess the performance of the proposed model under different signal-to-noise conditions.…”
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Computational design of therapeutic antibodies with improved developability: efficient traversal of binder landscapes and rescue of escape mutations by Frédéric A. Dreyer, Constantin Schneider, Aleksandr Kovaltsuk, Daniel Cutting, Matthew J. Byrne, Daniel A. Nissley, Henry Kenlay, Claire Marks, David Errington, Richard J. Gildea, David Damerell, Pedro Tizei, Wilawan Bunjobpol, John F. Darby, Ieva Drulyte, Daniel L. Hurdiss, Sachin Surade, Newton Wahome, Douglas E.V. Pires, Charlotte M. Deane

“…Developing therapeutic antibodies is a challenging endeavor, often requiring large-scale screening to produce initial binders, that still often require optimization for developability. We present a computational pipeline for the discovery and design of therapeutic antibody candidates, which incorporates physics- and AI-based methods for the generation, assessment, and validation of candidate antibodies with improved developability against diverse epitopes, via efficient few-shot experimental screens. …”
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Comparative relation mining of customer reviews based on a hybrid CSR method by Song Gao, Hongwei Wang, Yuanjun Zhu, Jiaqi Liu, Ou Tang

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Numerical Investigation of the Impact of Variation of Negative Electrode Porosity upon the Cycle Life of Lithium-Ion Batteries by Shuangchao Li, Peichao Li, Runzhou Yu

“…Notably, the linear porosity structure exhibits a significant advantage over traditional structures, especially in terms of reducing pore clogging and minimizing irreversible heat generation. In summary, this study presents a multi-physics and detailed numerical model to evaluate the impact of variations in negative electrode porosity on the cycle life of LIBs. …”
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Magnetic field and in-situ hot rolling assisted wire arc additive manufacturing of Al–Mg alloy thin-walled parts: external morphology and internal quality by Jianwu Huang, Xushan Zhao, Hang Lin, Zhaoyang Yan, Ruishan Xie, Hongfei Liu, Guilan Wang, Haiou Zhang, Runsheng Li

“…This study systematically evaluates the external morphology and internal quality of samples processed under different conditions. …”
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How to adaptively balance ‘classic’ or ‘conservative’ approaches in tooth defect management: a 3D-finite element analysis study by Jiani Xu, Xu Liang, Lili Hu, Chen Sun, Zhipeng Zhang, Jiawei Yang, Jie Wang

“…This study aims to investigate the influence of cavity dimensions on the mechanical performance of resin composites and natural tooth structures using finite element analysis (FEA). By evaluating stress distribution across different cavity configurations, this study seeks to determine the optimal cavity design for various tooth defects, ultimately offering insights into effectively balancing conventional and conservative cavity preparation principles. …”
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Characterization of Spent Grain from Irish Whiskey Distilleries for Biorefinery Feedstock Potential to Produce High-Value Chemicals and Biopolymers by Rasaq S. Abolore, Dileswar Pradhan, Swarna Jaiswal, Amit K. Jaiswal

“…Distiller’s spent grain (DSG) is a byproduct generated in large quantities during the mashing process, particularly in the production of alcoholic beverages such as whiskey. …”
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Two new positive psychosocial measures for persons living with dementia by Sheila L. Molony, Sam Fazio, Kimberly Van Haitsma, Richard Feinn, Joseph Montminy, Maureen Rulison, Ricci Sanchez, Sheryl Zimmerman

“…Abstract INTRODUCTION Differences in adaptive strategies used by individuals and families living with dementia have the potential to impact day‐to‐day well‐being. …”
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Spatial correlation effects on rock mass behavior: insights from stochastic modeling in longwall mining by Mohammad Reza Soleimanfar, Reza Shirinabadi, Navid Hosseini Alaee, Ehsan Moosavi, Ghodratollah Mohammadi

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Detailed Architectural Design of a Multi-Head Self-Attention Model for Lithium-Ion Battery Capacity Forecasting by Juyeon Park, Gyeong Ho Lee, Jangkyum Kim, Yoon-Sik Yoo, Il-Woo Lee

“…Positional encoding is applied to embed sequence order information at the input stage, while residual connections and layer normalization between MHSA layers optimize the learning process. Final predictions are generated through a fully connected neural network (FNN). …”
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Hydroponic Wastewater Treatment with Microalgae: A Sustainable Alternative for Irrigating <i>Pelargonium × hortorum</i> by Alejandro Rápalo-Cruz, Cintia Gómez-Serrano, Cynthia Victoria González-López, Miguel Urrestarazu-Gavilán, Silvia Jiménez-Becker

“…Microalgae are an effective solution for the treatment and valorization of wastewater generated in hydroponic systems. In the current context of sustainability and resource management, the search for ecological alternatives in agriculture is essential. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…Model overall performance metrics were optimized with grid search-based hyperparameter tuning and repeated-k-fold-cross-validation. …”
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Growth and Rhamnolipid Production Performance of <i>Pseudomonas aeruginosa</i> on Crude Biomass Carbohydrates and Bioenhancer-Based Growth Media by Rajat Sharma, Buddhi P. Lamsal

“…This study is aimed at understanding the effect of different types of human neuroendocrine bioenhancers on growth performance and rhamnolipid titer generation of the <i>Pseudomonas aeruginosa</i> PAO1 in a growth media containing sustainable crude biomass carbohydrates. …”
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Unlocking the Potential of RFA and Stabilizers in High Moisture Geotechnical Applications by Kaiqing Zhou, Xuliang Wang, Jun Hu, Qinxi Dong, Hui Zeng

“…In recent decades, rapid urbanization has generated a large amount of waste soft soil and construction debris, resulting in severe environmental pollution and posing significant challenges to engineering construction. …”
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