Detection of structural variants linked to mutton flavor and odor in two closely related black goat breeds by Lingle Chang, Xi Niu, Shihui Huang, Derong Song, Xueqin Ran, Jiafu Wang

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The exponential correlation function in the mathematical model of the investigated channel differential correlator with unmanned aerial vehicles by Vladimir Pavlovich Gerasimov, Vladimir Danilovich Kovalev, Sergey Vladimirovich Gerasimov, Alexander Yurievich Darzhania

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SSOD-QCTR: Semi-Supervised Query Consistent Transformer for Optical Remote Sensing Image Object Detection by Xinyu Ma, Pengyuan Lv, Xunqiang Gong

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Development and testing of a device to detect trigger points, and local twitch responses in dry needling intervention by Manoj Kumar Sharma, Sarika Chaudhary, Hardika Sood

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Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network by Yaping WU, Hongzhao DONG, Yingying LIN, Jing LIU

“…Artificial fish swarm algorithm as a new type of bionic swarm intelligence optimization algorithm has been successfully used in a variety of optimization problems and practical engineering field,but when faced with the complex optimization problems,especially the multiple extreme value of peak and multimodal function optimization problems,due to the objective function has many local minima,inevitably there are defects such as premature and slow convergence speed.The random and ergodic theory was introduced into the basic artificial fish swarm algorithm,and an improved algorithm was constructed to make artificial fish swarm search avoid possible local extremum.The effectiveness of the algorithm was validated in the simulation application in industrial control network anomaly detection.Compared with the basic artificial fish school algorithm,the chaos improved artificial fish swarm algorithm can effectively avoid the long-term search of the algorithm near the local extreme value.The algorithm has better performance in terms of global convergence and the search efficiency is more prominent.…”
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ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN by Keerti Tiwari, Davinder S. Saini, Sunil V. Bhooshan

“…Ordered successive interference cancellation (OSIC) is adopted with minimum mean square error (MMSE) detection to enhance the multiple-input multiple-output (MIMO) system performance. …”
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Enhancing Shiga toxin detection using surface plasmon resonance a study of antibody immobilization strategies by Zahra Karbalaee, Ali Hossein Rezayan, Ramezan Ali Taheri, Seyed Ali Mirhosseini, Mohammad Barshan-Tashnizi

“…The approach demonstrates particular promise for rapid, label-free detection of bacterial toxins in resource-limited settings.…”
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Detection Model for 5G Core PFCP DDoS Attacks Based on Sin-Cos-bIAVOA by Zheng Ma, Rui Zhang, Lang Gao

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Performance optimization of active RIS-assisted near-shore dual-function radar communicaiton system by XU Miao, YUE Dianwu, SUN Yu, WU Xiangkai, YUAN Meng

“…To address the issues of poor communication quality, high demand for radar detection, and scarce scarcity of spectrum resources for maritime users in coastal waters, an offshore dual-function radar communication (DFRC) system assisted by a shipborne active reconfigurable intelligent surface (ARIS) was studied. …”
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Biofunctionalization of chalcogenide glass fiber to enhance real time and label free detection by mid infrared spectroscopy by Rayan Zaiter, Frédéric Adamietz, Frédéric Désévédavy, Clément Strutynski, Damien Bailleul, Frédéric Smektala, Thierry Buffeteau, Luc Vellutini, Marc Dussauze

“…This study shows that bio-functionalized chalcogenide optical fibers allow to combine successfully surface bio-selectivity and infrared absorption fingerprints measurements to get a remarkable sensitivity enhancement of fiber evanescent wave detection methods in the mid infrared spectral range.…”
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A successful case of complete surgical resection via left upper and right lower lobectomy for bilateral lung metastases of a perivascular epithelioid cell tumor in the colon: a cas... by Yoshinobu Fuse, Shohei Mori, Shun Sato, Daiki Kato, Takamasa Shibazaki, Takeo Nakada, Mitsuo Yabe, Hideki Matsudaira, Jun Hirano, Takashi Ohtsuka

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Lightweight coal mine conveyor belt foreign object detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…Lastly, the original CIoU loss function in Yolov8n is replaced with MPDIoU, which allows the model to more accurately predict the position and shape of bounding boxes in the object detection task, thereby further reducing accuracy loss. …”
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Multicolored sequential resonance energy transfer for detection of simultaneous ligand binding at G protein-coupled receptors by Alice Valentini, Bethany Dibnah, Marija Ciba, Elaine M. Duncan, Asmita Manandhar, Bethany Strellis, Luca Vita, Olivia Lucianno, Conor Massey, Sophie Coe, Trond Ulven, Brian D. Hudson, Elisabeth Rexen Ulven

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基于IMU信号的人工智能上肢多关节运动状态识别系统构建——卒中后人工智能运动功能评估与检测系统建设前导研究 Construction of an Artificial Intelligence Upper Limb Multi-Joint Motion State Recognition System Based on IMU Signals—A Pre... by 程相鑫1，张烁1，杜松骏1，刘子阳1，周宏宇2，3，贾伟丽2，3，李子孝2，3，刘涛1 (CHENG Xiangxin1, ZHANG Shuo1, DU Songjun1, LIU Ziyang1, ZHOU Hongyu2,3, JIA Weili2,3, LI Zixiao2,3, LIU Tao1 )

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HMS-Net: A Hierarchical Multilabel Fine-Grained Ship Detection Network in Remote Sensing Images by Yunchao Yang, Zhengning Zhang, Pengming Feng, Yiming Yan, Guangjun He, Shaobo Liu, Pengyong Zhang, Haorao Gao

“…Moreover, our method has been successfully applied to various two-stage oriented object detection frameworks, consistently achieving performance improvements, thereby highlighting its plug-and-play versatility.…”
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The Composite Autonomic Symptom Score 31 Questionnaire: A Sensitive Test to Detect Risk for Autonomic Neuropathy by Sondre Meling, Erling Tjora, Heike Eichele, Niels Ejskjaer, Siri Carlsen, Pål Rasmus Njølstad, Christina Brock, Eirik Søfteland

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A Gaussian Mixture Model-Based Unsupervised Dendritic Artificial Visual System for Motion Direction Detection by Zhiyu Qiu, Yuxiao Hua, Tianqi Chen, Yuki Todo, Zheng Tang, Delai Qiu, Chunping Chu

“…Motion perception is a fundamental function of biological visual systems, enabling organisms to navigate dynamic environments, detect threats, and track moving objects. …”
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Development of an Electrochemical Paper-Based Device Modified with Functionalized Biochar for the Screening of Paracetamol in Substandard Medicines by Martin Kassio Leme da Silva, Francisco Contini Barreto, Guilherme dos Santos Sousa, Rafael Plana Simões, Gaurav Ahuja, Samriddha Dutta, Ashok Mulchandani, Ivana Cesarino

“…This study introduces a cost-effective electrochemical paper-based device (ePAD) modified with functionalized bamboo-derived biochar (BCF) for the detection of paracetamol in substandard medicines. …”
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Anti-RNA virus crRNA targets efficient screening platform based on bioinformatics and CRISPR detection by Mengwei Niu, Zhuofan Dong, Lifang Yu, Xue Dong, Jing An, Yao Han, Yujie Yan, Wenyanbo Yi, Yansong Sun, Hao Li

“…This method significantly reduces the screening time for antiviral targets compared with traditional cell screening. We successfully designed and screened effective crRNA targeting SARS-CoV-2 conserved N gene regions and demonstrated its inhibition function in HEK 293T cells. …”
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Modular DNA barcoding of nanobodies enables multiplexed in situ protein imaging and high-throughput biomolecule detection by Shilin Zhong, Ruiyu Wang, Xinwei Gao, Qingchun Guo, Rui Lin, Minmin Luo

“…Current immunodetection methods using antibody-DNA conjugates enable multiplexed target detection through orthogonal DNA barcodes, but existing conjugation approaches are labor-intensive and often compromise antibody function. …”
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