Dual SPE–HPLC–MS/MS Platform for Cross-Class Antiparasitic Surveillance: Simultaneous Quantification of Oxyclozanide and Levamisole Hydrochloride in Ovine Tissues with Applications... by Guonian Dai, Xuzheng Zhou, Weiwei Wang, Bintao Zhai, Jiang Li, Yangling Liu, Yong Zhang, Jiyu Zhang

“…Leveraging dual solid-phase extraction strategies—MAX anion-exchange for lipophilic OXY and MCX cation-exchange for hydrophilic LEV—we achieved efficient purification of these pharmacokinetically divergent compounds from complex matrices (muscle, liver, kidney, and perirenal adipose). …”
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A review of sound-based pig monitoring for enhanced precision production by Md Nasim Reza, Md Razob Ali, Md Asrakul Haque, Hongbin Jin, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

“…The integration of machine learning and artificial intelligence (AI) is further enhancing the capacity to interpret complex sound patterns, enabling the automated detection of abnormal behaviors or health issues. …”
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Classifying office workers with and without cervicogenic headache or neck and shoulder pain using posture-based deep learning models: a multicenter retrospective study by Ui-jae Hwang, Junghun Han, Oh-yun Kwon, Yu Seong Chu, Sejung Yang, Sejung Yang

“…Three deep learning models (VGG19, ResNet50, and EfficientNet B5) were trained and evaluated to classify the CH, NSP, and combined CH + NSP. …”
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Advances in enhancing hydrodeoxygenation selectivity of lignin-derived oxygenates: From synthetic strategies to fundamental techniques by Xinru Wu, Hongwei Zhang, Cejun Hu, Xiaojun Bao, Pei Yuan

“…A promising solution to this challenge lies in the efficient removal of oxygen-containing functional groups from LDOs through hydrodeoxygenation (HDO), aiming to yield biomass products with singular components. …”
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Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review by Chiyoung Jeong, YoungMoon Goh, Jungwon Kwak

“…AI can improve the precision, efficiency, and outcomes of radiation therapy by optimizing treatment planning, enhancing image analysis, facilitating adaptive radiation therapy, and enabling predictive analytics. …”
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Transfer Learning Empowered Multiple‐Indicator Optimization Design for Terahertz Quasi‐Bound State in the Continuum Biosensors by Shengfeng Wang, Bingwei Liu, Xu Wu, Zuanming Jin, Yiming Zhu, Linjie Zhang, Yan Peng

“…Abstract Terahertz metasurface biosensors based on the quasi‐bound state in the continuum (QBIC) offer label‐free, rapid, and ultrasensitive biomedical detection. Recent advances in deep learning facilitate efficient, fast, and customized design of such metasurfaces. …”
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Individual identification of wild raptors using a deep learning approach: A case study of the white-tailed eagle by Xi Guo, Yufeng Chen, Yu Guan, Hongfang Wang, Tianming Wang, Jianping Ge, Lei Bao

“…Our framework could improve the accuracy of identifying individuals in complex wild environments, offering a promising method for population detection and conservation research involving wild animals.…”
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Simultaneous Speech and Eating Behavior Recognition Using Data Augmentation and Two-Stage Fine-Tuning by Toshihiro Tsukagoshi, Masafumi Nishida, Masafumi Nishimura

“…Additionally, efficient model adaptation was achieved through two-stage fine-tuning of the self-supervised learning model. …”
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Stress triggering mechanism of strong mine earthquake in huge thick strata revealed by inversion of joint source rupture information by Yao YANG, Anye CAO, Yaoqi LIU, Xianxi BAI, Changbin WANG, Chengchun XUE, Qiang WANG

“…Under the condition of unconformable deposition of the Cretaceous Zhidan Group huge thick strata in the Inner Mongolia-Shanxi mining area, frequent occurrence of strong mine earthquake (SME) during deep mining, resulting in tremors at the surface，has severely constrained efficient production at the area. In order to solve the problem of inaccurate source information and unclear stress triggering mechanism, which makes it difficult to prevent and control SME, the working face of a mine in the area where SME occurred frequently is used as a background for the study, based on preliminary detection of stratigraphic rock movement characteristics, the principal component analysis (PCA) was applied to extract the effective components of waveforms, the hybrid moment tensor inversion (HMTI) are used to solve focal mechanism of SME, stress inversion model modified, and stress inversion algorithm optimised, based on the algorithm, solved the distribution characteristics of the stress field before and after the occurrence of SME, introduced instability coefficients to evaluate the stability of the overburden, and analysed the stress triggering mechanism of SME. …”
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A systematic review of multi-mode analytics for enhanced plant stress evaluation by Abdolrahim Zandi, Seyedali Hosseinirad, Hossein Kashani Zadeh, Kouhyar Tavakolian, Byoung-Kwan Cho, Fartash Vasefi, Moon S. Kim, Pantea Tavakolian, Pantea Tavakolian

“…IntroductionDetecting plant stress is a critical challenge in agriculture, where early intervention is essential to enhance crop resilience and maximize yield. …”
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An Analog Sensor Signal Processing Method Susceptible to Anthropogenic Noise Based on Improved Adaptive Singular Spectrum Analysis by Zhengyang Gao, Shuangchao Ge, Jie Li, Wentao Huang, Kaiqiang Feng, Chenming Zhang, Chunxing Zhang, Jiaxin Sun

“…ASSA addresses the challenge of determining the optimal number of decomposition layers, eliminating the parameter adjusting process and enhancing the measurement efficiency of sensor systems. Through experiments, magnetotelluric (MT) observation data with complex interferences were applied to demonstrate the performance of ASSA, and promising results with an RMSE of 0.2 were obtained. …”
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Continuous Gesture Sequences Recognition Based on Few-Shot Learning by Zhe Liu, Cao Pan, Hongyuan Wang

“…A large number of demands for space on-orbit services to ensure the on-orbit system completes its specified tasks are foreseeable, and the efficiency and the security are the most significant factors when we carry out an on-orbit mission. …”
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Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

“…This multi-agent system strengthens both the security and computational efficiency by reducing attack vulnerabilities by 15–18 % and lowering the computational complexity by 20–25 %. …”
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Tuning surface interactions with bentonite-graphite composite material for fouling-resistant electrochemical sensing of phenol in olive mill wastewater by Soukaina El Abbadi, Abdelaziz Elgamouz, Abdel-Nasser Kawde, Mohamed Douma, Hajar El Moustansiri, Najib Tijani

“…A bentonite-modified carbon paste electrode (CPEB) was developed and evaluated as an efficient electrochemical sensor for phenol detection in aqueous systems, with a particular focus on enhancing sensitivity, selectivity, and fouling resistance through interfacial material design. …”
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Evaluating Skin Tone Fairness in Convolutional Neural Networks for the Classification of Diabetic Foot Ulcers by Sara Seabra Reis, Luis Pinto-Coelho, Maria Carolina Sousa, Mariana Neto, Marta Silva, Miguela Sequeira

“…VGG19 achieved the highest accuracy at 97%, demonstrating superior ability to focus activations on relevant lesion areas in complex images. MobileNetV2, while slightly less accurate, excelled in computational efficiency, making it a suitable choice for mobile devices and environments with hardware constraints. …”
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Big Data for Veterinary Sciences: Instructions for Use by Oscar TAMBURIS

“…In livestock management, the integration of smart cameras and artificial intelligence supports real-time health monitoring and predictive analytics, helping farmers detect early signs of disease, optimize resource allocation, and improve production efficiency. …”
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IKEChecker: grammar-guided stateful fuzzer for IKE protocol implementions by ZHENG Yonghui, ZHAO Dongliang, GU Chunxiang, ZHANG Xieli

“…By comparing IKEChecker with other fuzz testing tools, its efficiency in vulnerability detection was evaluated.…”
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HASSDE-NAS: Heuristic–Adaptive Spectral–Spatial Neural Architecture Search with Dynamic Cell Evolution for Hyperspectral Water Body Identification by Feng Chen, Baishun Su, Zongpu Jia

“…This approach outperforms existing methods in delineating narrow river systems and resolving water bodies with weak spectral contrast under complex backgrounds, such as vegetation or cloud shadows. …”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…The localization errors for the endpoints of the horizontally propagating fractures are consistently below 2%, proving the reliability of this method for real-time monitoring and early warning of fracture propagation.In contrast, the vertical propagation of fractures presents a more complex scenario. When the fracture propagates upwards, the "shielding effect" caused by the overlying fracture significantly hinders the GPR signal's ability to detect the lower fracture tip. …”
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Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

“…This design enables DVE-YOLO to capture dynamic object features, reveal correlations of detected objects across frames, and facilitate efficient tracking and detection. …”
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