Human-Aware Control for Physically Interacting Robots by Reza Sharif Razavian

“…Therefore, based on this model and the nonlinear model predictive control framework, a human-aware control algorithm is implemented, which internally runs simulations to predict the user’s interactive movement patterns in the future. Consequently, it can optimize the robot’s motor torques to minimize an index, such as the user’s neuromuscular effort. …”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The algorithm aims to improve the stability in tracking multiple objects with similar appearance features and motion patterns, while maintaining stability in normal cases. …”
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Temporal Fusion Transformer-Based Trading Strategy for Multi-Crypto Assets Using On-Chain and Technical Indicators by Ming Che Lee

“…By combining multi-source features—such as Spent Output Profit Ratio (SOPR), Total Value Locked (TVL), active addresses (AA), exchange net flow (ENF), Realized Cap HODL Waves, and the Crypto Fear and Greed Index—with classical signals like Relative Strength Index (RSI) and moving average convergence divergence (MACD), the model captures behavioral patterns, investor sentiment, and price dynamics in a unified structure. …”
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"Svag elev" som social representation i Statens offentliga utredningar by Therese Friberg

“… Classifications of pupils as ‘weak’ have featured during the last century in Sweden and are still present in contemporary descriptions of pupils. …”
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Application of Muscle Synergies for Gait Rehabilitation After Stroke: Implications for Future Research by Jaehyuk Lee, Kimyung Kim, Youngchae Cho, Hyeongdong Kim

“…Results: By comprehensively reviewing the consistencies and differences in the study outcomes, we emphasize the need to segment the gait cycle into specific phases (e.g., weight acceptance, push-off, foot clearance, and leg deceleration) during the treatment process of gait rehabilitation and to develop rehabilitation protocols aimed at restoring normal synergy patterns in each gait phase and fractionating reduced synergies. …”
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One-Step Dry-Etching Fabrication of Tunable Two-Hierarchical Nanostructures by Xu Ji, Bo Wang, Zhongshan Zhang, Yuan Xiang, Haifang Yang, Ruhao Pan, Junjie Li

“…Both the mask pattern and etching parameters play crucial roles, by which two-hierarchical structures with diversiform shapes can be constructed controllably. …”
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Emily Brontë’s Wuthering Heights in EFL Classroom: Writing Skills Focus by Rukaiya Akter Mukta, Md. Shahjahan Kabir, Farhana Yeasmin

“…Emily Brontë’s Wuthering Heights is an excellent source of different sentence patterns, rhetorical devices, idiomatic expressions, anaphoric and cataphoric references, ellipses, etc. …”
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Comparative analysis of induced vs. spontaneous models of autoimmune uveitis targeting the interphotoreceptor retinoid binding protein. by Jun Chen, Haohua Qian, Reiko Horai, Chi-Chao Chan, Yishay Falick, Rachel R Caspi

“…Unlike previously reported, IRBP-induced EAU in B10.RIII mice exhibited two distinct patterns of disease depending on clinical scores developed after onset: severe monophasic with extensive destruction of the retina and rapid loss of visual signal, or lower grade with a prolonged chronic phase culminating after several months in retinal degeneration and loss of vision. …”
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SOH Estimation Method for Lithium-Ion Batteries Using Partial Discharge Curves Based on CGKAN by Shengfeng He, Wenhu Qin, Zhonghua Yun, Chao Wu, Chongbin Sun

“…Finally, multiple experiments under different conditions are conducted, and the results demonstrate that the proposed CGKAN method, by integrating the individual advantages of 1D-CNN, BiGRU, and KAN, efficiently captures complex nonlinear patterns in battery health features and maintains stable performance across various operating conditions.…”
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Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka by Penjani Hopkins Nyimbili, Mukuka Himunga Mulenga, Bwalya J. Kawimbe, Faustin A. S. Banda, Erastus Misheng’u Mwanaumo, Wellington Didibhuku Thwala

“…By integrating factors such as slope, hydrostatic potential surface, and the built environment, a predictive flood model was developed. The methodology involved using Geographic Information System (GIS) techniques and digital elevation models (DEMs) to assess geological features and manmade structures. …”
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Identifying guard hairs of Rocky Mountain carnivores by Jacalyn Normandeau, Kara Macaulay, Jodi Berg, Evelyn Merrill

“…We used Random Forest (RF) to identify features that best classified known‐origin guard hairs (n = 175) and used these characteristics to develop a dichotomous key for hair identification of the 7 major, large carnivore species common to the Rocky Mountains of Alberta, Canada. …”
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Deep learning enabled integration of tumor microenvironment microbial profiles and host gene expressions for interpretable survival subtyping in diverse types of cancers by Haohong Zhang, Xinghao Xiong, Mingyue Cheng, Lei Ji, Kang Ning

“…In this study, we aimed to decode this complex relationship by developing ASD-cancer (autoencoder-based subtypes detector for cancer), a semi-supervised deep learning framework that could extract survival-related features from tumor microbiome and transcriptome data, and identify patients’ survival subtypes. …”
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Fractal approach to geological and economic assessment of germanium-bearing lignites by O. I. Bilous, M. S. Burlutskyy

“…In such cases, fractal analysis is a novel tool that can accurately describe the self-organising structures of natural objects and reveal patterns in the spatial distribution of germanium content within coal-bearing strata. …”
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Evaluation of the Occurrence of Initial Failures from Stress Concentrators in Welded Joints and Structural Elements by K. А. Molokov, V. V. Novikov, M. Dabalez

“…The literature on the topic was analyzed. The features of proven physical models and patterns of behavior of materials were taken into account. …”
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The Role of Core Biopsy versus Vacuum-Assisted Breast Biopsy In Primary Breast Angiosarcoma by Anna Abate, Giulia Querques, Riccardo Giovanazzi, Camillo Di Bella, Valeria Besostri, Mara Gisabella, Cesare Maino, Davide Ippolito, Rocco Corso

“…Primary breast angiosarcoma is a rare malignant vascular neoplasia, characterized by aggressive patterns, poor prognosis, and absence of pathognomonic radiological features. …”
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Identification of Torsional Fatigue Properties of Titanium Alloy Turned Surfaces and Their Distribution Characteristics by Bin Jiang, Dengyun Wang, Peiyi Zhao, Hongchao Sang

“…The findings demonstrate the efficacy of the proposed models and methodologies in identifying the torsional fatigue properties and their distribution patterns of titanium alloy turning surfaces.…”
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3D Printed Swordfish‐Like Wireless Millirobot by Xingcheng Ou, Yu Sheng, Jiaqi Huang, Dantong Huang, Xiaohong Li, Ran Bi, Guoliang Chen, Weijie Hu, Shuang‐Zhuang Guo

“…This 20 mm long robot features a streamlined form and magnetically programmable movements, enabling biomimetic locomotion patterns such as straight‐line swimming and turning swimming. …”
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Behavior Analysis With Integrated Visual-Motor Tracking for Developmental Coordination Disorder by Ruimin Li, Hong Fu, Yang Zheng, Shuiping Gou, Jane Jie Yu, Xiaowei Kong, Hongmin Wang

“…Behavior analysis of children helps explore the mechanism of DCD and develop better diagnosis protocols. In this study, we investigate the behavioral pattern of children with DCD in the gross movement using a visual-motor tracking system. …”
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HRD-negative high-grade carcinoma of the ovary in <i>BRCA2</i> pathogenic variant carrier by A. P. Sokolenko, S. V. Poletaeva, A. D. Shestakova, T. V. Gorodnova, I. V. Berlev, E. N. Imyanitov

“…In all samples, the pattern of chromosomal instability did not match the HRD profile and there was loss of the mutant copy of the BRCA2 gene. …”
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Examining peptide–gold nanoparticle interactions through explainable machine learning by Malak Gamal Abdelmeguid, Jose Isagani B. Janairo, Nishanth G. Chemmangattuvalappil

“…However, the need for interpretability in ML models is crucial, as it fosters deeper understanding about the underlying factors driving the predictions, thereby ensuring technical soundness and replicability. This work develops an explainable binary machine learning classifier using rough sets as the algorithm and amino acid composition as the features. …”
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