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

“…The ability of these models to detect subtle postural patterns associated with different musculoskeletal conditions suggests their possible applications for early detection and intervention. …”
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Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems by Lihui Zheng, Xu Fan, Zongshan Kang, Xinjun Jin, Wenchao Zheng, Xiaofen Fang

“…Moreover, the VToMe algorithm reduces computational complexity by 25% through hierarchical token merging, enabling efficient processing of high-dimensional sensor data without performance degradation. …”
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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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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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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

“…However, LDOs, existing as complex aromatic mixtures with diverse oxygen-containing functional groups, pose a challenge as they cannot be easily separated via distillation for direct utilization. …”
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Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…From living by water and grass of early human beings to today’s “Four Determinations Based on Water”, the complex relationship between people and water is an important clue for the formation and development of human civilization, and the harmonious relationship between people and water in river basins is an important basis for achieving sustainable development. …”
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Determination of the metabolites, eicosanoids derived from polyunsaturated fatty acids in Drosophila tissue with high performance liquid chromatography tandem mass spectrometry by TAN Liangliang, SHEN Lirong

“…Obtained results showed that the calibration curves were of good linearity for the 15 metabolites in the range of 2.5-100 ng/mL with the correlation coefficient (r) of 0.991. The limits of detection and quantitation were about 0.1-2.6 ng/g and 0.3-8.7 ng/g, respectively. …”
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Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data by Yingpin Yang, Zhifeng Wu, Dakang Wang, Cong Wang, Xiankun Yang, Yibo Wang, Jinnian Wang, Qiting Huang, Lu Hou, Zongbin Wang, Xu Chang

“…Remote sensing offers an efficient approach for large-scale phenology retrieval, but most studies have primarily focused on staple crops. …”
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YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios by Peichun Suo, Jincan Zhu, Qingyang Zhou, Weili Kou, Xiuyan Wang, Wen Suo

“…However, achieving high precision in recognition under complex and dynamic conditions remains a significant hurdle. …”
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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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Low-Frequency Model Constrained Petrophysical Estimation Based on Canonical Correlation Analysis by Hanming Chen, Lingqian Wang, Yamei Cao, Ning Wang, Hui Zhou, Mingyu Yang

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Development of a low-cost modular snake-like robot with 2-DOF modules for rescue operations in collapsed environments with fast communication by G Seeja, Arockia Selvakumar Arockia Doss, Berlin Hency, AS Faraz Ahmed

“…Locating trapped or lost individuals is critical in search and rescue, directly impacting survival rates and responder safety. Rapid victim detection enhances response efficiency and enables timely rescue actions. …”
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Novel electrochemical sensor based on poly([Cu(H2O)2P2]I2)/GCE for the determination of trimethoprim in clinical samples and cow's milk samples by Melaku Metto, Alemu Tesfaye, Minaleshewa Atlabachew, Atakilt Abebe

“…A Novel bioanalytical detector based on Poly(Diaquabis(1,10-phenanthroline copper (II) Iodide) (poly([Cu(H2O)2P2]I2)/GCE) has been fabricated by potentiodynamic polymerization of [Cu(H2O)2P2]I2. The synthesized complex and the fabricated electrodes showed a promising electrocatalytic behavior towards the electrooxidation of Trimethoprim (TPM). …”
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Development of a Chemiluminescence Immunoassay for Quantification of 25-Hydroxyvitamin D in Human Serum by Shuang Han, Wuxian Qiu, Junlan Zhang, Zhonghu Bai, Xiao Tong

“…The method established shows good thermostability and performance. The limitation of detection (LoD) is 1.43 ng/mL. The intra-assay coefficient of variation (CV) is 3.66%–6.56%, the interassay CV is 4.19%–7.01%, and the recovery rate is 93.22%–107.99%. …”
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Application of Convolutional Neural Networks in Animal Husbandry: A Review by Rotimi-Williams Bello, Roseline Oluwaseun Ogundokun, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu

“…We selected relevant articles with various experimental results addressing animal detection, localization, tracking, and behavioral monitoring, validating the high-performance accuracy and efficiency of CNNs. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Machine learning models can process complex datasets, identify hidden patterns, and facilitate early risk detection, enabling banks to implement preventive measures before risks materialize. …”
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A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw by Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Zhining Gu, Yili Yang, Brendan M. Rogers, Anna Liljedahl

“…However, their small scale compared to other landform features, vague boundaries, and spatiotemporal variation pose significant challenges for accurate detection. In this article, we extend a state-of-the-art deep learning model to delineate RTS features across the Arctic in a multimodal setting. …”
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Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

“…Spatial features excel in spatially contextualised data like urban planning and object detection, capturing adjacent pixel relationships. …”
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From radiolabeling to receptor quantification: preclinical assessment of [99mTc]Tc-carvedilol as a cardiac β-adrenoceptor probe by Hala F. Azhari

“…Comparative analysis with [131I]iodocarvedilol and 99mTc-sestamibi provided insights into advancements in detection efficiency and translational potential.Results[99mTc]Tc-carvedilol showed a radiolabeling efficiency of 96.5% ± 2.87%, with serum stability >92% at 24 h. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

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