Integrating Dimensional Analysis and Machine Learning for Predictive Maintenance of Francis Turbines in Sediment-Laden Flow by Álvaro Ospina, Ever Herrera Ríos, Jaime Jaramillo, Camilo A. Franco, Esteban A. Taborda, Farid B. Cortes

“…Key variables, including power output, water flow rate, and operational time, were extracted and analyzed to identify patterns and correlations affecting turbine performance. …”
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PREACT-digital: study protocol for a longitudinal, observational multicentre study on digital phenotypes of non-response to cognitive behavioural therapy for internalising disorder... by Christine Knaevelsrud, Sebastian Burchert, Till Langhammer, Leona Hammelrath, Annette Brose, Manuel Heinrich, Pavle Zagorscak

“…We collect passive data on heart rate, physical activity, sleep and location patterns. …”
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Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm by Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

“…These estimated curves are integrated into a process that calculates technical losses, both no-load and load losses, for different transformer sizes, selecting the optimal rating that minimizes losses without compromising demand. …”
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Long Distance Measurement System by Optical Sampling Using a Femtosecond Laser by Tianyu Zhang, Xinghua Qu, Fumin Zhang, Bo Peng

“…By sweeping the repetition rate periodically, stable cross-correlation patterns are acquired, and the unknown distance can be calculated from the interference information. …”
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An adaptive method based on contextual anomaly detection in Internet of Things through wireless sensor networks by Xiang Yu, Hui Lu, Xianfei Yang, Ying Chen, Haifeng Song, Jianhua Li, Wei Shi

“…With the widespread propagation of Internet of Things through wireless sensor networks, massive amounts of sensor data are being generated at an unprecedented rate, resulting in very large quantities of explicit or implicit information. …”
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Radiocleavable rare-earth nanoactivators targeting over-expressed folate receptors induce mitochondrial dysfunction and remodel immune suppressive microenvironment in pancreatic ca... by Tanvi Gupta, Shang-Rung Wu, Li-Chan Chang, Forn-Chia Lin, Yan-Shen Shan, Chen-Sheng Yeh, Wen-Pin Su

“…Abstract Pancreatic cancer is a fatal cancer with poor prognosis and survival rate, often diagnosed usually in the advanced stage of disease. …”
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Failure Mode- and Time-Dependent Reliability Model of Tunnel Lining Structure Under Extremely High Ground Stress by Tao Peng, Dongxing Ren, Fanmin He, Binjia Li, Fei Wu, Shijie Xu

“…The plastic zone and the distribution of the surrounding rock stress field throughout the excavation process were simulated, elucidating the relationship between vault displacement and stress release rate. The time-varying reliability model is employed to assess lining behavior under extremely high ground stress and to establish the patterns governing its service life. …”
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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

“…Through finite element simulation, the plastic deformation, residual stress, and work hardening rate of the machined surface and subsurface of a titanium alloy are quantitatively examined. …”
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Extreme hourly 10m wind speed trends and reduced daily variability during 1940−2024 by Jia-Ning Song, Ming Sun, Zhi-Bo Li

“…Near-surface wind speed (NSWS) is a critical atmospheric variable influencing Earth’s climate dynamics, weather patterns, ocean processes, ecological systems, and renewable energy resources. …”
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Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

“…Additionally, oocyte diameter and the critical flow rate (Q)—defined as the minimum flow rate necessary for an oocyte to pass through the channel—were included as predictive variables. …”
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The association between reported artificial light and reported physical activity at night: the mediating roles of environmental restorativeness and perceived safety by Hansen Li, Qian Liu, Ying Yang, Liming Liu, Guodong Zhang, Xing Zhang, Mingyue Yin, Yang Cao, Matthew H. E. M. Browning

“…In contrast, subjective artificial light at night, when rated within a certain range (≥4), was positively associated with perceived safety, environmental restorativeness, and nighttime physical activity. …”
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Impact of Sodium Ion Stress on the Mechanism of Lead Ion Migration in Electrochemical Treatment of Lead-Contaminated Soil by Yinyin Zhang, Jiangtao Han, Libin Zang

“…This study specifically validates the migration patterns of lead ions under sodium ion stress in soil and concludes that a high concentration of sodium ions, when coexisting with lead ions, diminishes the migration rate of lead ions, consequently reducing the removal efficiency of lead ions. 1. …”
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Identification and Validation of the lncRNA BACE1-AS as Immune-Related Influencing Factor in Tumorigenesis following Pan-Carcinoma Analysis by Mengmeng Wang, Di Chen, Yushuang Xu, Mengjun Qiu, Xin Jiang, Zhifan Xiong

“…Methods. The expression patterns, genomic mutation, and prognostic significance of BACE1-AS in pan-cancers were compared by analyzing 32 types of tumors from The Cancer Genome Atlas and cBioPortal databases. …”
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Spatial proximity effects on cognitive processing of multimedia learning among college students: evidence from functional near-infrared spectroscopy by Yan Ma, Yan Ma, Qiuyue Peng, Qiuyue Peng, Bowen Long, Bowen Long

“…In addition, the study also explored how disciplinary differences affect the strength of spatial proximity effects and corresponding brain activation patterns.ResultsThe findings revealed that activation levels in the middle temporal gyrus, frontal pole, and dorsolateral prefrontal cortex were significantly higher in the spatial proximity condition compared to the spatial separation condition, accompanied by an improved rate of correct answers. …”
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The 'Antiretrovirals, Sexual Transmission Risk and Attitudes' (ASTRA) study. Design, methods and participant characteristics. by Andrew Speakman, Alison Rodger, Andrew N Phillips, Richard Gilson, Margaret Johnson, Martin Fisher, Ed Wilkins, Jane Anderson, Rebecca O'Connell, Monica Lascar, Kazeem Aderogba, Simon Edwards, Jeffrey McDonnell, Nicky Perry, Lorraine Sherr, Simon Collins, Graham Hart, Anne M Johnson, Alec Miners, Jonathan Elford, Anna-Maria Geretti, William J Burman, Fiona C Lampe

“…In this paper we describe the study rationale, design, methods, response rate and the demographic characteristics of the participants. …”
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Evaluating the Quality of Online Fertility Nutrition Claims by Kimberly R Lush, Amy T Hutchison, Jessica A Grieger

“…Survey participants rated 40 claims using a 5-point Likert scale from “Not at all likely” to “Highly likely”. …”
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Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems by Dinesh Kumar Nishad, Vandna Rani Verma, Pushkar Rajput, Sandeep Gupta, Anurag Dwivedi, Dharti Raj Shah

“…The system’s security analysis yields a 98% threat detection rate, with response times under 100 ms. Meanwhile, reliability metrics indicate a 99.8% task completion rate and a mean time to failure of 1,200 h. …”
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The Role of Intrinsic Factors in Explaining Range Shifts of European Breeding Birds: A Meta‐Analysis by Femke E. M. Warmer, Wessel A. vanVliet, Pim vanHooft, Anouschka R. Hof

“…However, the observed range shift patterns are idiosyncratic in rate and direction. Species traits, such as ecological, life‐history and movement traits, may play an important role in determining range shifts by influencing a species' capacity to shift successfully. …”
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Performance tracking in female youth soccer through wearables and subjective assessments by Stefan Kranzinger, Christina Kranzinger, Wolfgang Kremser, Burkhard Duemler

“…A robustness check confirmed these patterns also hold when analyzing the 99th percentile of performance outputs. …”
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Rehabilitation and Motion Symmetry Analysis With a TACX Smart Cycling Trainer Using Computational Intelligence by Hana Charvatova, Daniel Martynek, Alexandra Molcanova, Ales Prochazka

“…The research objectives include analysis of motion patterns, evaluation of motion symmetry under varying loads, and examination of heart rate responses to load variations. …”
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