Discriminant canonical analysis as a tool to determine traces of endangered native hen breed introgression through egg hatchability phenomics by Antonio González Ariza, Francisco Javier Navas González, Ander Arando Arbulu, José Manuel León Jurado, Juan Vicente Delgado Bermejo, María Esperanza Camacho Vallejo

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SynergyBug: A deep learning approach to autonomous debugging and code remediation by Hong Chen

“…The system demonstrated exceptional detection strength for functional and performance, and security bugs, where the detection rates reached 94% and 90% and 92%, respectively. …”
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Effect of microstructure on lipolysis behavior of milk fat globules during gastrointestinal digestion by Xinyun Zhou, Ting Guo, Chen Chen, Hadiatullah Hadiatullah, Yunping Yao, Changmo Li, Xingguo Wang

“…Milk fat globules (MFG) are the primary source of energy and functional factor in dairy-based products. …”
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Vibrational Properties of Sundatang Soundboard by Ronald Yusri BATAHONG, Jedol DAYOU, Semyung WANG, Jongsuh LEE

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Terrain and individual tree vertical structure-based approach for point clouds co-registration by UAV and Backpack LiDAR by Tingwei Zhang, Xin Shen, Lin Cao

“…Tree-level structural parameters estimation plays a key role in the researches and practice in sustainable forest management, carbon storage estimation, as well as ecological function evaluation. However, single Light Detection and Ranging (LiDAR) platform exhibits limitations when acquiring complete (i.e., including over-story and under-story) point cloud data for forest stands, e.g., UAV LiDAR systems tend to overlook details of the tree trunk or the lower ground, while Backpack LiDAR systems struggle to capture the treetop, etc. …”
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SECURITY ASSESSMENT OF MOODLE-BASED DISTANCE LEARNING SYSTEM COMPONENTS USING STATIC ANALYSIS TOOLS by Vladislav K. Kuchmin, Grigory O. Krylov

“…Moodle is one of the most popular open source solutions used in university environments, and its modular architecture requires regular security audits due to continuous functional expansion. …”
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A POSSIBLE RELATIONSHIP BETWEEN THE SETS OF QUASI-LINEAR LOCAL TRENDS STATISTICALLY DETECTED IN THE VARIATIONS OF THE MAGNETIC FIELD PARAMETERS BEFORE EARTHQUAKES IN SEISMICLY ACTI... by A. E. Volvach, L. P. Kogan, K. H. Kanonidi, L. I. Nadezhka, I. T. Bubukin, O. V. Boborikina, V. B. Shtenberg, L. N. Volvach, D. T. Biazitov

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Multi-model deep learning approach for the classification of kidney diseases using medical images by Waleed Obaid, Abir Hussain, Tamer Rabie, Dhafar Hamed Abd, Wathiq Mansoor

“…This research paper leveraged a deep learning approach to address the worldwide shortage of urologists by facilitating the detection of kidney diseases. A novel deep learning technique is proposed using Darknet53 for the classification of kidney diseases using a large dataset gathered from five resources. …”
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Dynamic participation in local energy communities with peer-to-peer trading [version 2; peer review: 2 approved, 2 approved with reservations] by Theresia Perger, Hans Auer

“…Conclusions The added value of this work is that the proposed method can be seen as a basis for a selection process between a large number of potential new community members. …”
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On the issue of secular trends in modern anthropology by A. A. Gaivoronsky, A. A. Semenov, V. V. Chrishtop, G. I. Nichiporuk, O. A. Osipov, R. I. Glushakov

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LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

“…LiSA-MobileNetV2 provides a high-accuracy, resource-efficient solution for real-time rice disease detection in smart farming systems.…”
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Simulating Self-lensing and Eclipsing Signals due to Detached Compact Objects in the TESS Light Curves by Sedighe Sajadian, Niayesh Afshordi

“…The shape of a self-lensing signal is a degenerate function of stellar radius and the compact object’s mass because the self-lensing peak strongly depends on the projected source radius normalized to the Einstein radius. …”
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Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies by Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup

“…The article highlights the advantages of using automated systems to monitor chicken health under conditions of limited human resources. A software solution has been developed for monitoring chicken health, which enables video uploads from local sources or video services such as YouTube, selection of the communication language, and the LLM model. …”
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Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

“…It can be applied in protein homology detection, structure-function inference, drug repurposing, and other downstream biological tasks. …”
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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

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Evaluation of response to a cholera outbreak in January 2024 using the 7–1–7 timeliness metrics: a case study of Elegu Point of Entry, Uganda by Innocent Ssemanda, Brian Kibwika, Ritah Namusoosa, Benon Kwesiga, Lilian Bulage, Richard Migisha, Alex Riolexus Ario

“…Achieving the 7–1–7 targets highlighted the country’s-built capacity to detect, notify, and respond to such events. Continued investment in local-level disease detection, communication, and national-level resource mobilization will be crucial to sustaining future effective cross-border outbreak prevention and control strategies.…”
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Combining first principles and machine learning for rapid assessment response of WO3 based gas sensors by Ran Zhang, Guo Chen, Shasha Gao, Lu Chen, Yongchao Cheng, Xiuquan Gu, Yue Wang

“…The rapid advancement of gas sensitive properties in metal oxides is crucial for detecting hazardous gases in industrial and coal mining environments. …”
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Characterization of Biocalcium Microparticles from Saltwater Crocodile (<i>Crocodylus porosus</i>) Bone and Their Potential for Enhancing Fish Bologna Quality by Theeraphol Senphan, Natthapong Mungmueang, Supatra Karnjanapratum, Sutee Wangtueai, Akkasit Jongjareonrak, Suthasinee Yarnpakdee

“…Saltwater crocodile (SC; <i>Crocodylus porosus</i>) bone, an underutilized by-product, can be converted into high-value bio-calcium (Biocal), serving as a potential source of calcium and minerals. This study aimed to produce SC bone Biocal as functional gel enhancer for fish bologna development and to increase calcium intake. …”
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Screening Tests to Identify Injury Risk in Competitive Swimmers: A Scoping Review by Dnyanesh Pramod Patil, Ajit Surendra Dabholkar

“…A quality rating for the selected studies was conducted using the National Institutes of Health (NIH) study-quality assessment tool. …”
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