Rolling Bearing Fault Diagnosis Method Based on Improved Variational Mode Decomposition and Information Entropy by Wen FAN, Lian GE, Xiaoting XIAO, Fangji GAN, Xin LAI, Hongxia DENG, Qi HUANG

“…Therefore, a rolling bearing fault diagnosis method based on improved VMD is proposed. A new fitness function combining differential evolution (DE) algorithm with gray wolf optimization (GWO) algorithm is proposed to form a new hybrid optimization algorithm, named DEGWO. …”
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Decoding phospho-regulation and flanking regions in autophagy-associated short linear motifs by Mattia Utichi, Oana N. Antonescu, Valentina Sora, Henri-Baptiste Marjault, Matteo Tiberti, Emiliano Maiani, Matteo Lambrughi, Elena Papaleo

“…While phosphorylation and flanking regions are known to influence SLiM function, the mechanistic basis of this regulation remains poorly understood. …”
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End-to-End Interrupted Sampling Repeater Jamming Countermeasure Network Under Low Signal-to-Noise Ratio by Gane Dai, Xiaoxuan Yang, Sha Huan, Ziyang Chen, Cong Peng, Yuanqin Xu

“…A multi-domain combined loss function integrates the waveform and range-pulse-compression information to ensure the amplitude and phase integrity of the reconstructed echo waveform during the training process. …”
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Immune microenvironment of tumor-draining lymph nodes: insights for immunotherapy by Jiahuan Wei, Daozhang Li, Haixia Long, Mei Han

“…Tumor-draining lymph nodes (TDLNs) play a crucial role in modulating tumor immune responses and influencing the efficacy of immunotherapy. …”
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LncRNAs and asymmetric cell division: The epigenetic mechanisms by Hsiao-Fan Chen, Kou-Juey Wu

“…Further research in this area may lead to the development of novel therapies targeting dysregulated lncRNAs to restore proper cell division and function. The knowledge of lncRNAs regulating ACD could potentially revolutionize the field of regenerative medicine and cancer therapy by targeting specific lncRNAs involved in ACD. …”
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A Bacteroides thetaiotaomicron genetic locus encodes activities consistent with mucin O-glycoprotein processing and N-acetylgalactosamine metabolism by Didier A. Ndeh, Sirintra Nakjang, Kurt J. Kwiatkowski, Claire Sawyers, Nicole M. Koropatkin, Robert P. Hirt, David N. Bolam

“…Abstract The gut microbiota is a key modulator of human health and the status of major diseases including cancer, diabetes and inflammatory bowel disease. …”
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Evaluating the impact of essential amino acid-rich nutrition intervention on children with autism spectrum disorder: A randomized trial protocol by Jayashree R, Gayathri G, Udayakumar N, Kalpana C. A

“…Background: Emerging evidence highlights the role of essential amino acids in brain function and behavior modulation, with deficiencies observed in children with autism. …”
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DOG: An Object Detection Adversarial Attack Method by Jinpeng Li, Xiaoyu Ji, Wenyuan Xu, Yushi Cheng

“…By constructing a specialized loss function, the algorithm can iteratively generate adversarial noise, enabling the rapid production of adversarial examples with high attack and transfer rates. …”
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EDPNet: A Transmission Line Ice-Thickness Recognition End-Side Network Based on Efficient Dynamic Perception by Yangyang Jiao, Yu Zhang, Yinke Dou, Liangliang Zhao, Qiang Liu

“…Then, a new dynamic loss function is adopted in the training process to guide the model to perform refined detection of ice-covered boundaries. …”
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Photonic Measurement of Microwave Frequency With Low-Error based on an Optomechanical Microring Resonator by Li Liu, Huaqing Qiu, Zhi Chen, Zhihua Yu

“…Through using two microwave photonic filter responses with different central frequencies, an amplitude comparison function (ACF) (i.e., microwave power ratios) could be obtained. …”
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Estrogen, menopause, and Alzheimer’s disease: understanding the link to cognitive decline in women by Nicholas Mervosh, Gayatri Devi, Gayatri Devi, Gayatri Devi

“…Recognition of menopause-related cognitive impairment as an early, hormonally modulated risk state may offer additional opportunity for timely intervention. …”
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Sleeping and Eating Behavior Recognition of Horses Based on an Improved SlowFast Network by Yanhong Liu, Fang Zhou, Wenxin Zheng, Tao Bai, Xinwen Chen, Leifeng Guo

“…To recognize horse behaviors in stalls, this study builds on the SlowFast algorithm, introducing a novel loss function to address data imbalance and integrating an SE attention module in the SlowFast algorithm’s slow pathway to enhance behavior recognition accuracy. …”
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OncoBiome: The Emerging Frontier in Cancer-Microbiome Interactions by Ruby Dhar, Arun Kumar, Subhradip Karmakar

“…., H. pylori in gastric cancer, Fusobacterium nucleatum in colorectal cancer). Metabolic modulation involving microbial metabolites like short-chain fatty acids, secondary bile acids, and trimethylamine N-oxide can influence cellular proliferation, apoptosis, and immune function. …”
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The role of DPP6 dysregulation in neuropathology: from synaptic regulation to disease mechanisms by Xuan-Yan Ding, Xuan-Yan Ding, Jean de Dieu Habimana, Zhi-Yuan Li

“…As a transmembrane protein, DPP6 modulates the function and properties of ion channels, playing a crucial role in various tissues, particularly in the brain. …”
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Loader Bucket Working Angle Identification Method Based on YOLOv5s and EMA Attention Mechanism by Xuedong Zhang, Bo Cui, Zhaoxu Wang, Wangting Zeng

“…The Focal-EIOU Loss function was added to address the slow convergence speed of YOLOv5. …”
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Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation by Yanan Bai, Liji Xiao, Chongjun Xia, Kexiang Zeng, Xiaoyu Shi

“…To mitigate popularity bias, we derive an Asymmetric Multi-instance Noise Contrastive Estimation (AMINCE) loss function that supplies rich, bias-aware training signals, while our two-stage training strategy significantly reduces the over-dominance of popular items during optimization. …”
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A Lightweight Citrus Ripeness Detection Algorithm Based on Visual Saliency Priors and Improved RT-DETR by Yutong Huang, Xianyao Wang, Xinyao Liu, Liping Cai, Xuefei Feng, Xiaoyan Chen

“…Additionally, the Inner-SIoU loss function was employed for bounding box regression, while a weight initialization method based on visual saliency maps was proposed. …”
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The role of microbiota in nonalcoholic fatty liver disease: mechanism of action and treatment strategy by Siwen Shen, Yao Liu, Nuoya Wang, Zhenhe Huang, Guifang Deng

“…The gut-liver axis has emerged as a central pathway linking intestinal microbes to liver function. Microbiota-derived metabolites, such as short-chain fatty acids, bile acids (BAs), and trimethylamine N-oxide (TMAO), have dual roles in hepatic lipid accumulation, inflammation, and insulin resistance, providing new insight into NAFLD pathogenesis. …”
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The Lightweight Method of Ground Penetrating Radar (GPR) Hidden Defect Detection Based on SESM-YOLO by Yu Yan, Guangxuan Jiao, Minxing Cui, Lei Ni

“…Additionally, the SCSA attention mechanism is introduced before the detection head, enabling precise extraction of defect object features. (3) As a novel loss function, MPDIoU is proposed to reduce the disparity between the corners of the predicted bounding boxes and those of the ground truth boxes. …”
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Grape Target Detection Method in Orchard Environment Based on Improved YOLOv7 by Fuchun Sun, Qiurong Lv, Yuechao Bian, Renwei He, Dong Lv, Leina Gao, Haorong Wu, Xiaoxiao Li

“…Finally, the Focal-EIoU loss function is employed to optimize the regression prediction boxes, accelerating their convergence and improving regression accuracy. …”
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