Deformation and failure mechanisms of deep-seated landslides: insights from Guili-Baige in Jinsha River tectonic belt by Changbao Guo, Jixin Liu, Ruian Wu, Yiqiu Yan, Hao Yuan, Zhendong Qiu

“…SBAS-InSAR monitoring indicated creep deformation with localized acceleration, reaching a maximum surface deformation rate of −24.29 mm/yr. Mechanical tests showed that water content significantly reduces soil cohesion in sliding zones. …”
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Optimization of Dynamic SSVEP Paradigms for Practical Application: Low-Fatigue Design with Coordinated Trajectory and Speed Modulation and Gaming Validation by Yan Huang, Lei Cao, Yongru Chen, Ting Wang

“…Using four frequencies (6, 8.57, 10, 12 Hz) and three waveform patterns (sinusoidal, square, sawtooth), speed was modulated at 1/5, 1/10, and 1/20 of each frequency’s base rate. …”
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Cutting-tool geometry effect on turning process dynamics by V. L. Zakovorotny, V. E. Gvindzhiliya, V. S. Minakov

“…In particular, changes in the tool geometric parameters alter the stability of the forming movement trajectories, and their variations can cause bifurcations of the attracting sets of deformation displacements. The forming motion patterns determine both the geometric topology of the workpiece, and the tool wear rate, which depend on the tool geometry. …”
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Experimental Investigation on the Propagation of Hydraulic Fractures through Coal-Rock Interfaces by Pengfei Wu, Jianlong Wang, Xiaofei Luo, Rujun Mo, Yaoqing Hu, Wei He

“…This study investigates the fracture patterns, pressure variation, and fracture morphology. …”
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Enhancing Stress Assessment in Sledge Reindeer (Rangifer tarandus): APilot Study on Infrared Thermal Imaging and its Opportunities for Advancement as a Welfare Assessment Tool by Océane Liehrmann, Anne Ollila, Virpi Lummaa, Léa Lansade, Martin W. Seltmann

“…Measuring immediate physiological stress responses in animals can be challenging; saliva and blood sampling, while invasive, may also generate confounding stress responses, and equipping animals with heart rate sensors is not always feasible. Nevertheless, emerging technologies offer a non-invasive and contactless method to measure additional body surface temperature changes induced by acute stress, using infrared thermal measurement of the eye caruncle region. …”
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Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…Feature extraction is done using local binary patterns (LBP). Classification is performed using a fuzzy support vector machine (FSVM) classifier. …”
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Experimental determination of the ventilation pressure thermal drop effect on the air flows in the inclined mine workings by Lev Levin, Evgeniy Kuzminykh, Sergei Zhikharev

“…We experimentally determine the relationship between mass airflow rate changes in mine workings with inclination angles ranging from 12° to −15° and a fixed heat source power. …”
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Sentiment Analysis of ChatGPT on Indonesian Text using Hybrid CNN and Bi-LSTM by Vincentius Riandaru Prasetyo, Mohammad Farid Naufal, Kevin Wijaya

“…The best performance was achieved with 32 Bi-LSTM units, a dropout rate 0.5, and L2 regularization, which was evaluated using Stratified K-Fold cross-validation. …”
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Dynamic brain-heart interaction in sleep characterized by variational phase-amplitude coupling framework by Juntong Lyu, Chien-Hung Yeh, Wenbin Shi, Thomas Penzel

“…Moreover, delta-range slow cortical oscillations exhibit robust coupling with both the low- (HRV-LF) and high-frequency (HRV-HF) constituents of RR-interval heart-rate variability, thereby constituting a cardinal electrophysiological signature of ANS-CNS modulation. …”
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Spatial quality measurement of commercial streets in old cities of medium-sized cities in China by Tongwen Wang, Hongkai Li, Xinmeng Cao, Chaohui Yue, Yuanyuan Yang, Weijie Huang, Haidong Li

“…This study finds that (1) crowd activities on commercial streets have different temporal and spatial patterns on weekdays and days off; (2) the external characterization of urban street space quality has a significant positive correlation with objective material spatial elements such as the density of public transportation stops, functional density, functional mixing, interface continuity, and spatial green visibility rate; (3) the enhancement of street accessibility and fine-tuning of functions are key to improving the spatial quality of commercial streets.This study provides theoretical basis and ideas for improving the spatial quality of commercial streets in medium-sized cities in China and promoting sustainable urban development.…”
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A Hierarchical Control Framework for Coordinating CAV-Dedicated Lane Allocation and Signal Timing at Isolated Intersections in Mixed Traffic Environments by Feng Chen, Cunbao Zhang, Yu Cao

“…Additionally, the study identifies CAV penetration rate (CAV PR) thresholds of 30% and 60% as appropriate for allocating one and two CAV-DLs, respectively, at intersections with high traffic volumes. …”
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Propeller Open-Water Test Method for Hybrid Contra Rotating Propeller by Tomoki Wakabayashi, Tokihiro Katsui

“…By conducting seven patterns of propeller open-water tests and measuring the individual propeller performance and the interaction between the propeller and the POD, the propeller’s mutual interaction can be obtained. …”
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Color characteristics and psychological healing effects in Rokuon-ji Temple Garden: a quantitative analysis by Jinyang Wang, Yoichi Kunii

“…The findings provide evidence-based guidelines for therapeutic garden design while demonstrating that the healing efficacy of traditional Japanese gardens derives from sophisticated orchestration of color complexity, diversity, and concentration patterns.…”
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The main drivers of labour cost dynamics in Central and Eastern European countries by Maria Denisa VASILESCU, Larisa STĂNILĂ, Amalia CRISTESCU, Maria Berta BELU, Silvana CRIVOI

“…Additionally, the share of exports in GDP and the employment rate influence labour costs in Hungary and the Czech Republic, but with distinct country-specific patterns.…”
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Socio-Demographic Factors and Health-Oriented Behaviors of University Students in the Podkarpackie Region. Long-Term Prospective Research by Paweł Więch, Dariusz Bazaliński, Zdzisława Chmiel, Józef Ratajczyk, Paweł Januszewicz, Monika Binkowska-Bury

“…It was conducted in 2009 and repeated two years later. The rating of the behavior patterns of students was conducted in accordance with the following schedule: October 2009 – January 2010 (T1), October 2011 – January 2012 (T2). …”
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Compact Broadband Dual ZOR Antenna for Multiband Smart Mobile Phone Applications by Jeong Keun Ji

“…The antenna provides omnidirectional radiation patterns and measured radiation efficiencies exceeding 43.3% and 47.5% for low and high bands, respectively. …”
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CAs-Net: A Channel-Aware Speech Network for Uyghur Speech Recognition by Jiang Zhang, Miaomiao Xu, Lianghui Xu, Yajing Ma

“…Experiments conducted on a real Uyghur speech recognition dataset demonstrate that CAs-Net achieves the best performance across multiple subsets, with an average Word Error Rate (WER) of 5.72%, significantly outperforming existing approaches. …”
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A Study on the Hydrodynamic Excitation Characteristics of Pump and Pipeline Systems Considering the Weakly Compressible Fluid During the Pump Start-Up Condition by Yonggang Lu, Mengjiao Min, Wei Song, Yun Zhao, Zhengwei Wang

“…In addition, the flow conditions at the pipe tee were analyzed, and the attenuation patterns of pressure waves at different frequencies within the pipe were also investigated. …”
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Perception of quality and adoption of health-preventive measures in gym-goers after the COVID-19 pandemic peak in Italy by L Falese, E Langiano, M Ferrara, P Diotaiuti, A Rodio, T Di Libero, A Andrade, E De Vito

“…Participants generally rated the gym positively, with 34.49% considering it "Good" and 39.23% rating it "Very good." …”
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Accurate hourly AQI prediction using temporal CNN-LSTM-MHA+GRU: A case study of seasonal variations and pollution extremes in Visakhapatnam, India by Sreenivasulu T, Mokesh Rayalu G

“…The framework amalgamates one-dimensional Convolutional Neural Networks (1D CNN) for the extraction of short-term patterns, Long Short-Term Memory (LSTM) integrated with Multi-Head Attention (MHA) to encapsulate long-term dependencies, and Gated Recurrent Unit (GRU) for the refinement of residual errors. …”
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