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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Synergetic Enhancement of the Photocatalytic Activity of TiO2 with Visible Light by Sensitization Using a Novel Push-Pull Zinc Phthalocyanine by A. Luna-Flores, M. A. Valenzuela, J. A. Luna-López, A. D. Hernández de la Luz, L. C. Muñoz-Arenas, M. Méndez-Hernández, J. L. Sosa-Sánchez

“…The hybrid photocatalyst was characterized by UV-Vis diffuse reflectance (DRS) and Fourier transform infrared spectroscopy (FT-IR) and its photocatalytic activity was compared with that of the individual components considering the effects of sensitization on their efficiency to degrade Rhodamine B as a model reaction. …”
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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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Strong absorption in ultra-wide band by surface nano engineering of metallic glass by Jianan Fu, Xin Li, Zhen Li, Fei Sun, Wenxin Wen, Jinlai Zhao, Wenqing Ruan, Shuai Ren, Zhenxuan Zhang, Xiong Liang, Jiang Ma

“…Meanwhile, a surface with nanowires shows a high photothermal conversion efficiency (ηPT = 56.36%). The fabricated metallic glass absorbers exhibit adaptability as they can be easily formed into various complex shapes and meet the requirements under harsh conditions. …”
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A PSO-CNN-LSTM Model for Seismic Facies Analysis: Methodology and Applications by Luyao Liao, Huailai Zhou, Junping Liu, Jie Zhou, Donghang Zhang, Jian Wang

“…The established intelligent waveform classification workflow validates PSO-CNN-LSTM model’s robustness and offers an efficient solution for seismic facies analysis, particularly in complex geological settings.…”
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Ultrafast characterization of plasma critical surface evolution in inertial confinement fusion experiments with chirped laser pulses by Linjun Li, Zhantao Lu, Xinglong Xie, Meizhi Sun, Xiao Liang, Qingwei Yang, Ailin Guo, Ping Zhu, Xuejie Zhang, Dongjun Zhang, Hao Xue, Guoli Zhang, Rashid Ul Haq, Haidong Zhu, Jun Kang, Jianqiang Zhu

“…During the ICF process, the interaction between the high-power laser and ablation material leads to the formation of a plasma critical surface, which reflects a significant portion of the driving laser, reducing the efficiency of laser energy conversion into implosive kinetic energy. …”
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Toward Integrative Biomechanical Models of Osteochondral Tissues: A Multilayered Perspective by Bruna Silva, Marco Domingos, Sandra Amado, Juliana R. Dias, Paula Pascoal-Faria, Ana C. Maurício, Nuno Alves

“…Through critical comparison of existing mathematical models, the viscoelastic model is suggested as a pragmatic starting point for modeling articular cartilage zones, the tidemark, and the calcified cartilage layer, as it captures essential time-dependent behaviors such as creep and stress relaxation while ensuring computational efficiency for initial coupling studies. On the other hand, a linear elastic model was identified as an optimal starting point for both the subchondral bone plate and the subchondral trabecular bone, reflecting their dense and stiff nature, and providing a coherent framework for early-stage multilayer integration. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

“…The dilated causal convolution of TCN is used to extract temporal local features of health factors, addressing the insufficient capture of long-range dependencies in traditional models; meanwhile, the Bayesian inference framework of RVM is integrated to enhance the nonlinear mapping capability and small-sample generalization, avoiding the overfitting tendency of complex models. Experimental validation is conducted using the lithium-ion battery dataset from the University of Maryland. …”
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Pharmacogenetics of antipsychotic-induced metabolic disturbances: state-of-the-art by R. F. Nasyrova, N. A. Sivakova, D. V. Ivashchenko, D. N. Sosin, E. E. Ershov, K. A. Sosina, L. Sh. Akhmetova, O. V. Volikova, T. Z. Beybalayeva, N. G. Neznanov

“…Ambiguous results in pharmacogenetic studies may be a reflection of complexity of pathogenesis of antipsychotic-induced weight gain, an influence of a set of epigenetic factors on mechanisms of its development. …”
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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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Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

“…It was shown how this differentiation, based on the complex of previously selected dynamic indicators characterising the changes of professional vocabulary, expands the possibilities for diagnostics and forecasting of professional growth of students. …”
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Named Entity Recognition in Aviation Products Domain Based on BERT by Mingye Yang, Bernadin Namoano, Maryam Farsi, John Ahmet Erkoyuncu

“…This paper proposes a new Named Entity Recognition (NER) method specifically tailored for the aviation product field (BBC-Ap), introducing an innovative approach that leverages domain-specific ontologies and advanced deep learning algorithms to significantly enhance the accuracy and efficiency of entity extraction from complex technical documents. …”
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Network control theory uncovers aberrant connectome controllability in trigeminal neuralgia by Tiantian Chu, Juan Peng, Feng Gao, Fei Xiong, Ye Tu

“…Abstract Background Trigeminal neuralgia (TN) involves complex neural network alterations beyond the trigeminal system. …”
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