Stress detection/assement in dairy cows by the determination of cortisol in hair by near-infrared (NIR), mid-infrared (MIR) and Raman spectroscopy by Octave S Christophe, Clément Grelet, Huzaïfa Simon, Julie Leblois, Vincent Baeten, Frédéric Dehareng

“…Abstract Chronic stress in dairy cows could adversely affect their emotional well-being, immune function, reproductive capability and milk yield. Effective measurement and assessment of chronic stress in herds is crucial for maintaining welfare and addressing issues. …”
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A Contrastive-Augmented Memory Network for Anti-UAV Tracking in TIR Videos by Ziming Wang, Yuxin Hu, Jianwei Yang, Guangyao Zhou, Fangjian Liu, Yuhan Liu

“…In the second stage, a contrastive-augmented matching module (CAM), along with a refined contrastive loss function, is designed to enhance the discrimination ability of the tracker under the instruction of contrastive learning strategy. …”
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An Artificial Plant Community Algorithm for Collision-Free Multi-Robot Aggregation by Zhengying Cai, Qingqing Yu, Zhuimeng Lu, Zeya Liu, Guoqiang Gong

“…First, a multiple objective function is built for the collision-free multi-robot aggregation problem, considering the characteristics of robotic aggregation and collision-free constraints. …”
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Identification of novel gut microbiota-related biomarkers in cerebral hemorrhagic stroke by Fengli Ye, Huili Li, Hongying Li, Xiue Mu

“…PPI network analysis highlighted IL1B, IL6, and CCL2 as central nodes. Machine learning identified four hub genes—LEF1, ITGAX, BLVRB, and ATF4. …”
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A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model by Muhammad Sajid, Ali Haider Khan, Kaleem Razzaq Malik, Javed Ali Khan, Ayed Alwadain

“…In this article, we introduce a system for efficient anomaly detection that can function in surveillance networks with a modest level of complexity. …”
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Application of Raman Spectroscopy in Non-Invasive Analysis of the Gut Microbiota and Its Impact on Gastrointestinal Health by Patrycja Krynicka, George Koulaouzidis, Karolina Skonieczna-Żydecka, Wojciech Marlicz, Anastasios Koulaouzidis

“…The gut microbiota, a complex community of microorganisms, plays a crucial role in gastrointestinal (GI) health, influencing digestion, metabolism, immune function, and the gut–brain axis. Dysbiosis, or an imbalance in microbiota composition, is associated with GI disorders, including irritable bowel syndrome (IBS), inflammatory bowel disease (IBD), and colorectal cancer (CRC). …”
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Different Long-Term Nutritional Regimens of <i>Drosophila melanogaster</i> Shape Its Microbiota and Associated Metabolic Activity in a Sex-Specific Manner by Repac Jelena, Trajković Jelena, Rakić Marija, Lunić Tanja, Savić Tatjana, Božić Bojan, Božić Nedeljković Biljana, Sofija Pavković-Lučić

“…To address this gap, the relationship between dietary regimens and the composition and function of adult <i>Drosophila melanogaster</i> microbiota was investigated in the present study. …”
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USING A CASE METHOD TO BUILD ENVIRONMENTAL COMPETENCE OF STUDENTS OF ECONOMICS IN ESP LESSONS by Nataliia Ishchuk

“…Each case has an educational function and requires a certain amount of time. The case method creates opportunities to creatively use lexical material and allows students to adapt to real and potentially possible situations. …”
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Exploring f(Q) gravity through model-independent reconstruction with genetic algorithms by Redouane El Ouardi, Amine Bouali, Safae Dahmani, Ahmed Errahmani, Taoufik Ouali

“…In this paper, we use a machine learning technique, specifically genetic algorithms, to reconstruct the functional form of f(Q) gravity in a model-independent manner. …”
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Identification and validation of m6A RNA methylation and ferroptosis-related biomarkers in sepsis: transcriptome combined with single-cell RNA sequencing by Jinshuai Lu, Jianhao Wang, Kun Han, Yuxia Tao, Jiyi Dong, Xiaoyu Pan, Xiaolan Wen

“…Further in-depth analyses of the biomarkers were performed, including functional enrichment, immune infiltration, drug prediction, and molecular docking. …”
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EGb761 suppressed vascular dementia via modulating Wnt/β-catenin signaling pathway-induced apoptosis and autophagy in hippocampal neuronal cells by Nan Yin, Zhipeng Tang, Yanyan Yang, Xiuqin Li, Ruisheng Duan, Guodong Xu, Peiyuan Lv

“…Results EGb761 significantly improved the cognitive function of vascular dementia rats (P < 0.01) and reduced the apoptosis of hippocampal neurons.Furthermore, EGb761 suppressed ROS, thereby promoting the expression of proteins related to the Wnt/β-catenin signaling pathway and inhibiting the expression of C-Jun N-terminal Kinase (p-JNK), c-Jun N-terminal kinase (p-c-JUN), Protein 53 (P53), immunity-related GTPase M (IRGM), Transcription Factor EB (TFEB), microtubule-associated proteins light chain 3 (LC3), Lysosomal Associated Membrane Protein 1 (LAMP1), and Sequestosome 1 (SQSTM1). …”
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YOLO-TARC: YOLOv10 with Token Attention and Residual Convolution for Small Void Detection in Root Canal X-Ray Images by Yin Pan, Zhenpeng Zhang, Xueyang Zhang, Zhi Zeng, Yibin Tian

“…Additionally, to optimize the training process, a bounding box loss function is adopted to achieve faster and more accurate bounding box predictions. …”
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CSNet: A Remote Sensing Image Semantic Segmentation Network Based on Coordinate Attention and Skip Connections by Jiahao Li, Hongguo Zhang, Liang Chen, Binbin He, Huaixin Chen

“…In recent years, the continuous development of deep learning has significantly advanced its application in the field of remote sensing. …”
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RETRACTED: An Infrared Small Target Detection Method Based on a Weighted Human Visual Comparison Mechanism for Safety Monitoring by Yuanyuan Chen, Huiqian Wang, Yu Pang, Jinhui Han, En Mou, Enling Cao

“…In the final step, the contrast and weight functions are combined to create the final weighted local contrast method (WRDLCM). …”
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Strategies to scale up the technical, allocative and economic efficiency of major millet growing farmers in India – A primal system approach by Kannan Thomas Felix, K.B. Ramappa, Padma Lakshmi Govindarajan

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Utilisation of Deep Neural Networks for Estimation of Cajal Cells in the Anal Canal Wall of Patients with Advanced Haemorrhoidal Disease Treated by LigaSure Surgery by Inese Fišere, Edgars Edelmers, Šimons Svirskis, Valērija Groma

“…Interstitial cells of Cajal (ICCs) play a key role in gastrointestinal smooth muscle contractions, but their relationship with anal canal function in advanced haemorrhoidal disease (HD) remains poorly understood. …”
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Heart disease prediction using ECG-based lightweight system in IoT based on meta-heuristic approach by Amin Abbaszadeh, Mahdi Bazargani

“…At the classification stage, the two-stage learning system is used to classify cardiac arrhythmias. …”
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TMBO-AOD: Transparent Mask Background Optimization for Accurate Object Detection in Large-Scale Remote-Sensing Images by Tianyi Fu, Hongbin Dong, Benyi Yang, Baosong Deng

“…Furthermore, we introduce a novel separated loss function that strengthens both foreground and background consistencies. …”
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A data ensemble-based approach for detecting vocal disorders using replicated acoustic biomarkers from electroglottography by Lizbeth Naranjo, Carlos J. Pérez, Daniel F. Merino

“…Future research should focus on collecting comprehensive EGG databases and further exploring multi-class classification methods to solidify EGG and machine learning as a valuable tool for non-invasive assessment of laryngeal function.…”
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Is human-like decision making explainable? Towards an explainable artificial intelligence for autonomous vehicles by Jiming Xie, Yan Zhang, Yaqin Qin, Bijun Wang, Shuai Dong, Ke Li, Yulan Xia

“…These findings have the potential to inform ongoing research on brain-like neural learning and could function as a catalyst for developing swifter and more potent algorithmic solutions in the realm of intelligent transportation.…”
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