Robust Methods for Assessing the Characteristics of Locomotor Activity Based on Markerless Video Capture Data by M. I. Bogachev, K. R. Grigarevichius, N. S. Pyko, S. A. Pyko, M. Tsygankova, E. A. Plotnikova, T. V. Ageeva, Ya. O. Mukhamedshina

“…The movement trajectories of biological objects can be represented by time series exhibiting a complex multicomponent structure and non-stationary dynamics, thus limiting the effectiveness of conventional correlation and spectral time series analysis methods. …”
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Healthcare Futures: Opportunities, Challenges and Risks in a Blockchain-Driven Environment by Robert Goldberg, Peter J. Pitts, Jennifer Hinkel

“…By leveraging smart contracts, which automate transactions and ensure trust through pre-defined algorithms, the platform offers a seamless and secure environment for managing complex healthcare data and financial instruments. …”
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Creative tourism as a zone of entrepreneurship and innovation in management by Yulia L. Rybakova, Olga V. Karpova, Igor L. Kaverzin

“…The article formulates criteria for assessing the effectiveness, efficiency and potential of projects in the field of creative tourism, and discusses a number of cases reflecting the specific features of the implementation of the creative tourism concept in Russia (Kolomenskaya Pastila, Kolomna; New Tourist Geography, New Culture of Souvenirs, St. …”
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Cognitive Model of Electronic Learning Trajectories Based on Digital Footprint by T M. Shamsutdinova

“…At the same time, components of digital footprint are distinguished as technical, technological, personality-psychological, behavioral, active, competent, communicative, and reflective. The concept of the cognitive model structure of a learner is also given, which includes personal experience and competence, cognitive abilities, socially-determined and biopsychic characteristics, the ability to reflect, and technical equipment. …”
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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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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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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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Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning by Jinxiang Chen, Yan Li, Jiaxing Deng, Beicheng Qin, Chengcai He, Qiangsheng Huang, Jingchun Wu

“…By combining blockchain’s decentralized storage capabilities with DRL’s dynamic optimization potential, the system demonstrates a scalable and efficient approach for distributed data analysis in complex scenarios.…”
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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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OPTIMIZATION OF TRANSPORTATION ROUTES IN A CLOSED LOGISTICS SYSTEM by Vladimir Beskorovainyi, Olexij Kuropatenko, Denys Gobov

“…The following results were obtained: the decomposition of the problem of optimizing transportation routes in closed-loop logistics systems at the macro and micro levels was performed; a systemological model of the problem has been developed, which reflects the whole complex of tasks that are solved at various stages of the life cycle of logistics systems. …”
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Wheat Soil-Borne Mosaic Virus Disease Detection: A Perspective of Agricultural Decision-Making via Spectral Clustering and Multi-Indicator Feedback by Xue Hou, Chao Zhang, Yunsheng Song, Turki Alghamdi, Majed Aborokbah, Hui Zhang, Haoyue La, Yizhen Wang

“…By using the WSBM dataset collected in 2017–2018 from Walla Walla Valley, Oregon/Washington State border, the United States of America, and performing data augmentation for validation, along with comparative experiments and sensitivity analysis, this study demonstrates that the AI-driven LSGDM model integrating enhanced spectral clustering and ADISs-MGRS feedback mechanisms outperforms traditional models in terms of consensus efficiency and decision robustness. This provides valuable support for multi-party decision making in complex agricultural contexts.…”
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Evaluation of the LI-710 evapotranspiration sensor in comparison to full eddy covariance for monitoring energy fluxes in perennial and annual crops by Srinivasa Rao Peddinti, Isaya Kisekka

“…Uncorrected LI-710 fluxes exhibited a consistent underestimation, as reflected in low or negative Nash–Sutcliffe efficiency (NSE) values. …”
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Prevention and correction of postdecompression liver dysfunction in obstructive jaundice in experimental animals by M. M. Magomedov, M. A. Khamidov, H. M. Magomedov, K. I. Hajiyev

“…Obstructive jaundice is a complex pathology that significantly complicates surgical interventions and is accompanied by a number of negative consequences. …”
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Study on natural gas metering technology and pricing methods in China by Yunyun XIE, Yao SU, Pengtao LI, Fan ZHANG, Wenyao LIU, Jianwen GUO

“…ConclusionPromoting reforms in natural gas metering and pricing methods not only enhances resource utilization efficiency but also ensures market fairness and transparency. …”
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