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

“…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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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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Research progress,key scientific issues,and prospects of segmented fracturing and pressure relief gas drainage technology for coal seam roof horizontal wells by Ke YANG, Zhainan ZHANG, Xinzhu HUA, Wenjie LIU, Xin LYU, Xiaolou CHI, Changcheng WANG, Caiqing LI

“…The segmented fracturing and pressure relief gas drainage technology in the horizontal well of the coal seam roof is a key means to guide the efficient gas extraction in deep, high gas, soft and low permeability coal seams.Based on this, a full lifecycle development concept for the segmented fracturing, pressure relief,and gas drainage engineering of the coal seam roof horizontal well is proposed, including three stages: early scientific planning, mid-term engineering construction, and later safety management.This paper summarizes the research progress on the full life cycle development of segmented fracturing and pressure relief gas drainage in coal seam roof horizontal wells, constructs an overall research framework for key scientific issues related to segmented fracturing and pressure relief gas drainage in coal seam roof horizontal wells, and looks forward to its future development direction.The results show that the expansion of segmented fracturing cracks in the horizontal well of the coal seam roof is extremely complex due to geological factors, construction parameters, and physical properties.It is urgent to comprehensively evaluate the primary and secondary relationships under the influence of multiple factors in crack expansion, and reveal the mechanism of coal seam roof fracturing crack expansion under the influence of multiple factors.Exploring the critical relationship between the coupling of stress, water, temperature, and coal factors on the promotion and inhibition of coalbed methane adsorption, desorption, and migration, and establishing an optimal model for coalbed methane adsorption and desorption under multiple critical indicators, is the key to achieving efficient coalbed methane extraction. …”
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WF-SwinUnet: A Window Fusion-based RFI Segmentation Model and Its Application in FAST by QingYun Li, MingHui Li, Dongjun Yu, Jie He

“…However, the traditional thresholding method cannot adapt to the complex baseline noise because it relies on manual parameter adjustment and assumes a constant threshold value, it also faces bottlenecks such as the failure to detect weak interferences and the ambiguous positioning of the boundary. …”
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Computational nanobody design through deep generative modeling and epitope landscape profiling by Liyun Huo, Tian Tian, Yanqin Xu, Qin Qin, Xinyi Jiang, Qiang Huang

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Automated on-site broiler live weight estimation through YOLO-based segmentation by Mahmoud Y. Shams, Wael M. Elmessery, Awad Ali Tayoush Oraiath, Ahmed Elbeltagi, Ali Salem, Pankaj Kumar, Tamer M. El-Messery, Tarek Abd El-Hafeez, Mohamed F. Abdelshafie, Gomaa G. Abd El-Wahhab, Ibrahim S. El-Soaly, Abdallah Elshawadfy Elwakeel

“…Broiler weighing is essential in poultry production for growth monitoring, feed management, health detection, and meeting market requirements. Traditional weighing methods, which use electronic platform weighers, can stress broilers and may not capture accurate weight data, particularly heavy broilers. …”
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Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems by F.S. Gómez-Vega, O. Acuña, Andrea C. Camargo, Jeison D. Jimenez, Sara M. Galeano, Isabella E. Franco, Laura L. Lozano, Jenifer Vásquez, Edwin Puertas

“…The model’s performance was validated by domain experts, who confirmed the detected inconsistencies as highly accurate. Our approach significantly reduces the manual effort required for P&ID review and improves design consistency, demonstrating the potential for enhanced safety and efficiency in complex industrial projects. …”
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Integrated feature selection-based stacking ensemble model using optimized hyperparameters to predict breast cancer with smart web application by Rajib Kumar Halder, Marzana Akter Lima, Mohammed Nasir Uddin, Md.Aminul Islam, Adri Saha

“…Breast cancer is a leading cause of morbidity and mortality among women worldwide, arising from malignant cell transformations in breast tissue. Early detection is paramount as it significantly improves survival rates and reduces the complexity and cost of treatment. …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

“…This multirobot architecture is adaptable, allowing configuration of team size for collaborative tasks based on load requirements and environmental complexity. By integrating computer vision and deep learning for visual processing, and YOLOv2 for object detection, the system efficiently identifies, picks, and transports objects to designated locations, demonstrating the scalability of multi-robot framework for future applications in logistics automation, collaborative manufacturing, and dynamic human-robot interaction scenarios.…”
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Attention-based integrated deep neural network architecture for predicting the effectiveness of data center power usage by Yang-Cheng Shih, Sathesh Tamilarasan, Chin-Sheng Chen, Omid Ali Zargar, Yean-Der Kuan

“…The integration of convolutional layers processes hourly data inputs efficiently, reducing complexity and improving pattern detection. …”
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Electrochemical Immunosensors on Laser-Induced Graphene Platforms for Monitoring of Anti-RBD Antibodies After SARS-CoV-2 Infection by Beatriz R. Martins, Cristhianne Molinero R. Andrade, Guilherme F. Simão, Rhéltheer de Paula Martins, Lucas V. de Faria, Tiago A. Matias, Virmondes Rodrigues Júnior, Rodrigo Alejandro Abarza Munoz, Renata Pereira Alves

“…In this context, electrochemical biosensors present themselves as promising tools for the efficient monitoring of SARS-CoV-2 infection. We have developed a highly specific biosensor for the detection of anti-SARS-CoV-2 antibodies in patient sera. …”
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Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering by Herearii Metuarea, François Laurens, Walter Guerra, Lidia Lozano, Andrea Patocchi, Shauny Van Hoye, Helin Dutagaci, Jeremy Labrosse, Pejman Rasti, David Rousseau

“…These results underscore the potential of foundational models guided by well-designed prompts as scalable and annotation-efficient solutions for plant segmentation in complex agricultural environments.…”
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Comparative Study on the Prevention and Control Effects of Rockburst Between Hydraulic Fracturing Sections and Blank Sections by Shuo Yang, Jiang Bian, Aixin Liu, Xiaoyang Li, Fuhong Li, Xingen Ma, Siyuan Gong

“…Influenced by various factors such as the complex environment and high key layers in coal mines, hydraulic fracturing technology has gradually become the main means of controlling the hard roof strata to prevent and control rockburst in recent years, which can effectively release the stress on the roof, reduce the intensity of pressure, and ensure the safe and efficient mining of the working face in coal mines. …”
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A novel nonparametric adaptive kernel density estimation method for removing nonrandom noise from ICESat-2 photon-counting LiDAR data by Zijia Wang, Sheng Nie, Cheng Wang, Xiaohuan Xi, Xiaoxiao Zhu, Jieying Lao, Bisheng Yang

“…These two noise types often coexist in large-scale regions, yet most existing parameterized algorithms are designed to address only one, limiting their denoising effectiveness in complex environments. To address this challenge, a robust nonparametric density estimation algorithm is proposed to efficiently remove nonrandom noise while ensuring accurate surface elevation retrieval. …”
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Wandering around: a bioinspired approach to visual attention through object motion sensitivity by Giulia D’Angelo, Victoria Clerico, Chiara Bartolozzi, Matej Hoffmann, P Michael Furlong, Alexander Hadjiivanov

“…Event-based cameras, inspired by the mammalian retina, further enhance this capability by capturing asynchronous scene changes, enabling efficient, low-latency processing. To distinguish moving objects while the event-based camera is also in motion, the agent requires an object motion segmentation mechanism to accurately detect targets and position them at the centre of the visual field (fovea). …”
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High-Throughput Indirect Monitoring of TORC1 Activation Using the pTOMAN-G Plasmid in Yeast by Melissa Gómez, Guilherme Rocha, Diego Ruiz, Claudio Martínez, Francisco Salinas, Eduardo Kessi-Pérez

“…This protocol proved to be an efficient alternative to assess TORC1 pathway activation compared to techniques based on immunoblot detection, which, although effective, are considerably more laborious. …”
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Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

“…The SPCNN model, with 2.207 million parameters and a size of 26 MB, is more complex than PCNN but simpler than SFPCNN. Despite this, SPCNN exhibited the fastest testing times (0.00252 s), making it more computationally efficient than both PCNN and SFPCNN. …”
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Surfactant-mediated transport behavior of zinc oxide nanoparticles in porous media by Yujue Wang, Zhou Cheng, Ming Wu, Yanru Hao

“…Nanomaterials and surfactants are widely detected in soil-groundwater environments, while the surfactant-mediated transport behavior of nanoparticles has not been sufficiently investigated. …”
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