Tactile perception of textile fabrics based on friction and brain activation by Wei Tang, Shousheng Zhang, Chuang Yu, Hua Zhu, Si Chen, Yuxing Peng

“…To quantify the tactile perceptions of textile fabrics, the mechanical properties of fabrics and the features extracted from the friction and vibration signals were correlated with the subjective sensation rated by questionnaires. …”
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Brain connectivity for constructing new face representations in typical adults versus a prosopagnosic patient by Ela I. Olivares, Jorge F. Bosch-Bayard, Ana S. Urraca, Alba Jiménez-Bascuñán, Rolando J. Biscay, Jaime Iglesias

“…Connections for whole faces closing the E-I sequence resembled those for external features initiating the same sequence. Meanwhile, the predominant connections for whole faces completing the I-E sequence were more restricted to specific brain areas, with relevant prefrontal activity and a few connected nodes in right posterior regions, suggesting high attentional load plus initial and intermediate processing of face identity. …”
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Investigation of Mill Balls Metal Deterioration in Mills KBM 370/850 (Sh-50А) when Fuel not Envisaged in the Mill Design is Used at Thermal Power Plants by Stepan Mysak, Taras Voronchak

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Evaluation of dry-in-place lubricants for cold forging by using an optimal steady combined forward and backward extrusion testing method by Chengliang Hu, Shogo Osaki, Baixuan Cai, Mitsuru Aoyama, Kuniaki Dohda

“…Three dry-in-place lubricants and conventional phosphating lubricant were tested, and the friction factors (m), forming loads, and ejection loads were measured. The surface features of the specimens after testing were also investigated. …”
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Machine Learning Model Coupled with Graphical User Interface for Predicting Mechanical Properties of Flax Fiber by T. Nageshkumar, Prateek Shrivastava, L. Ammayapan, Manisha Jagadale, L. K. Nayak, D. B. Shakyawar, Indran Suyambulingam, P. Senthamaraikannan, R. Kumar

“…The SHapley Additive exPlanations (SHAP) analysis was performed and found sample weight and gauge length were the most influential features for breaking load and elongation, respectively. …”
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Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management by Rodrigo V. Leite, Cibele Amaral, Christopher S. R. Neigh, Diogo N. Cosenza, Carine Klauberg, Andrew T. Hudak, Luiz Aragão, Douglas C. Morton, Shane Coffield, Tempest McCabe, Carlos A. Silva

“…We also highlight future hyperspectral and radar missions that will deliver valuable and complementary information for a new era of fuel load characterization from space. The data volume that is being generated may still challenge the usability by a diverse group of stakeholders. …”
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Investigation of the influence of the heterogeneous structure of concrete on its strength by V.M. Volchuk, M.A. Kotov, Ye G. Plakhtii, O.A. Tymoshenko, O.H. Zinkevych

“…This approach allowed screening out low-sensitivity structure features from the multifractal spectrum. Results of the analysis of complex and separate influence of statistical characteristics on the indicators of the breaking load of concrete are shown with regression linear models. …”
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Overtraining syndrome in bodybuilding and the difficulty of searching for informative biomarkers for disadaptation diagnostics by Vadym Koval, Anatolii Tsos, Oleh Olkhovyi, Kateryna Drobot, Andrii Chernozub, Vladimir Potop

“…To study the characteristic features of overtraining syndrome (OTS) in bodybuilding in athletes with different resistance levels and to identify informative blood biomarkers to diagnose disadaptation. …”
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Clinical, virological and immunological features from patients infected with re-emergent avian-origin human H7N9 influenza disease of varying severity in Guangdong province. by Zi Feng Yang, Chris Ka Pun Mok, Xiao Qing Liu, Xiao Bo Li, Jian Feng He, Wen Da Guan, Yong Hao Xu, Wei Qi Pan, Li Yan Chen, Yong Ping Lin, Shi Guan Wu, Si Hua Pan, Ji Cheng Huang, Guo Yun Ding, Kui Zheng, Chang Wen Ke, Jin Yan Lin, Yong Hui Zhang, Horace Hok Yeung Lee, Wen Kuan Liu, Chun Guang Yang, Rong Zhou, Joseph Sriyal Malik Peiris, Yi Min Li, Rong Chang Chen, Ling Chen, Nan Shan Zhong

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DP-YOLO: A Lightweight Real-Time Detection Algorithm for Rail Fastener Defects by Lihua Chen, Qi Sun, Ziyang Han, Fengwen Zhai

“…Second, we introduce a Position-Sensitive Channel Attention (PSCA) mechanism, which calculates spatial statistics (mean and standard deviation) across height and width dimensions for each channel feature map. These statistics are multiplied across corresponding dimensions to generate channel-specific weights, enabling dynamic feature recalibration. …”
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A Lightweight Multi-Scale Context Detail Network for Efficient Target Detection in Resource-Constrained Environments by Kaipeng Wang, Guanglin He, Xinmin Li

“…MSCDNet integrates three key components: the Multi-Scale Fusion Module, which improves the representation of features at various target scales; the Context Merge Module, which enables adaptive feature integration across scales to handle a wide range of target conditions; and the Detail Enhance Module, which emphasizes preserving crucial edge and texture details for detecting camouflaged targets. …”
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Development of a Torque Sensor for Robot Actuators With Overload Protection by Kwon-Hui Lee, Bumjoo Lee

“…This study proposes the development of a one-axis torque sensor that can be integrated into robotic joint actuators, featuring an innovative structural design with enhanced overload protection. …”
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Analysis of Modern Three-Span Suspension Bridges With Stiff in Bending Cables by Algirdas Juozapaitis, Romualdas Kliukas, Giedrė Sandovič, Ona Lukoševičienė, Tomas Merkevičius

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Ionomer-free electrodes in PEM water electrolyzers: a critical review by Mengyan Chen, Yi Ren, ChungHyuk Lee, Jason K Lee

“…Recent studies have introduced novel electrode designs that eliminate ionomer layers (polymeric layers that conduct protons) while maintaining high performance at low iridium loadings. These ionomer-free electrode designs not only feature high performance but also enable facile fabrication processes and reuse of iridium after long-term operation, significantly contributing to cost reduction. …”
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Exploring fonts as retrieval cues in text-based learning by Felix Krieglstein, Sebastian Jansen, Felicia Meusel, Nadine Scheller, Manuel Schmitz, Lukas Wesenberg, Günter Daniel Rey

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Clinical phenotypes of Alzheimer’s disease: investigating atrophy patterns and their pathological correlates by Niels Reijner, I. Frigerio, M. M. A. Bouwman, B. D. C. Boon, N. Guizard, T. Jubault, J. J. M. Hoozemans, A. J. M. Rozemuller, F. H. Bouwman, F. Barkhof, E. Gordon, W. D. J. van de Berg, L. E. Jonkman

“…In AD, a global positive association between MRI cortical volume and Aβ load (βs = 0.21, p = 0.010), and a global negative association with NfL load (βs = - 0.18, p = 0.018) were observed. …”
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Features of Lipid Spectrum and Insulin Resistance Parameters in Patients with Type 2 Diabetes Mellitus and Cardiac Autonomic Neuropathy and Appropriateness of Simvastatin and Omega... by Azhmi S., Serhiyenko V.

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Social Portrait of a Foreign Language Teacher at the Turn of XIX-XX Centuries by M. N. Vetchinova

“…Information about the features of work in the position of classes mentors is presented. …”
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Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency by Leszek Sliwko

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Forecast-Aided Converter-Based Control for Optimal Microgrid Operation in Industrial Energy Management System (EMS): A Case Study in Vietnam by Yeong-Nam Jeon, Jae-ha Ko

“…To improve forecast accuracy, an artificial neural network (ANN) is used to model the relationship between electric load and localized meteorological features, including temperature, dew point, humidity, and wind speed. …”
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