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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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

“…Next, a SOH estimation framework based on the CGKAN model is developed, where 1-Dimensional-Convolutional Neural Networks (1D-CNN) are used to extract deep features from the original data, Bidirectional Gated Recurrent Unit (BiGRU) captures the bidirectional dependencies of the time series, and Kolmogorov–Arnold Networks (KAN) enhances the modeling of complex nonlinear features through its nonlinear mapping capabilities, thereby improving the accuracy of SOH estimation. …”
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Multimodal analysis of cell-free DNA enhances differentiation of early-stage breast cancer from benign lesions and healthy individuals by Thi Tuong Vi Van, Trung Hieu Tran, Thi Hue Hanh Nguyen, Van Thien Chi Nguyen, Dac Ho Vo, Giang Thi Huong Nguyen, Trong Hieu Nguyen, Kim Sang To, Anh Luan Nguyen, Cao Hong An Tran, Thanh Xuan Jasmine, Thi Loan Vo, Thi Huong Thoang Nai, Thuy Trang Tran, My Hoang Truong, Ngan Chau Tran, Thi Loc Le, Thi Hong Nhung Nguyen, Ngoc Hieu Tu, Thanh Son Tran, Bao Toan Le, Van Phong Tang, Pham Thanh Nhan Nguyen, Khac Tien Nguyen, Van Chien Ho, Xuan Vinh Nguyen, Nhu Nhat Tan Doan, Thi Trang Tran, Thi Minh Thu Tran, Vu Uyen Tran, Minh Phong Le, Thi Luyen Vu, Ba Linh Tieu, Huu Tam Phuc Nguyen, Luu Hong Dang Nguyen, Ngoc Minh Phan, Thi Van Phan, Thi Thanh Thuy Do, Thi Huyen Dao, Hung Sang Tang, Duy Sinh Nguyen, Hoa Giang, Minh Duy Phan, Hoai-Nghia Nguyen, Duc Hieu Vo, Le Son Tran

“…Conclusions These findings underscore the potential of cfDNA biomarkers to enhance BC detection and reduce the rate of unnecessary biopsies.…”
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Brainstem catecholaminergic neurons induce torpor during fasting by orchestrating cardiovascular and thermoregulation changes by Mingxiu Cheng, Meiqi Wang, Liang Wang, Fangfang Yin, Jiayi Shen, Xin Xing, Yuyan Shi, Zhiwei Liu, Ping Wu, Wenling Gao, Yanyan Fan, Peng Cao, Cheng Zhan

“…Importantly, the heart rate decline precedes body temperature reduction, resembling patterns observed in natural torpid animals. …”
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Evaluating Electricity Demand Elasticity From a Social Perspective: Implications for Sustainable Development and Urban Resilience by Yaser A. Nanehkaran, Shixi Tang, Amir Bairami Akhi Jahani, Amir Niromandfam, Tolga Pusatli

“…Additionally, the results highlight that variations in electricity prices can counterbalance the impact of income increases on consumption patterns.…”
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Slugs hide in the dark: Artificial light at night alters fitness and activity of dominant herbivores with consequences for ecosystem functioning by Vincent Grognuz, Flavienne Landolt, Julia Curty, Eva Knop

“…By experimentally illuminating not only captive individuals from two slug species but also entire wild communities, we tested whether nocturnal lighting alters circadian activity patterns, fitness parameters, feeding, and moving behaviors and whether this affects herbivory damage. …”
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Evaluation of charging frequency for electric vehicles considering drivers’ charging behaviours and high output chargers by Tetsu Yamada, Atsushi Akisawa

“…With the recent global introduction of high-output chargers, such as those rated 350 kW, evaluating their impact on EV charging demand has become increasingly important. …”
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AEMS: Adaptive Ensemble GNNs for Multibehavior Stream Recommendation by Ritchie Natuan Caibigan, Punyaphol Horata, Pusadee Seresangtakul

“…The AEMS synergizes long-term preference patterns (derived from historical interactions) with real-time user intents and item attributes (captured through multibehavior signals), integrating them via an adaptive ensemble neural gating mechanism. …”
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Forecasting Sales in Live-Streaming Cross-Border E-Commerce in the UK Using the Temporal Fusion Transformer Model by Qi Zhang, Xue Li, Pengbin Gao

“…Our multimodal approach integrates diverse time series data, including historical sales, key opinion leader (KOL) influence, and seasonal patterns. The Temporal Fusion Transformer (TFT) model demonstrated consistently lower Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE) across all forecasting horizons compared to other machine learning approaches, including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Gated Recurrent Unit(GPU)-accelerated architectures. …”
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A clustering-based federated deep learning approach for enhancing diabetes management with privacy-preserving edge artificial intelligence by Xinyi Yang, Juan Li

“…We develop tailored models that enhance prediction accuracy by clustering patients based on carbohydrate (CHO) intake patterns. Utilizing Simple Recurrent Neural Network (SimpleRNN) and Gated Recurrent Unit (GRU) methods, the study evaluates the performance of local patients who contribute to training the cluster and global (non-cluster) models. …”
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Indirect and suboptimal control of gene expression is widespread in bacteria by Morgan N Price, Adam M Deutschbauer, Jeffrey M Skerker, Kelly M Wetmore, Troy Ruths, Jordan S Mar, Jennifer V Kuehl, Wenjun Shao, Adam P Arkin

“…Because genes that have closely related functions can have dissimilar expression patterns, regulation may be suboptimal in the wild as well as in the laboratory.…”
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Experimental study on the leakage identification for the buried gas pipeline via vibration signals by Xiugang Chen, Cuiwei Liu, Kang Xiao, Wenjie Liu, Tao Gu, Yuxing Li

“…The results show that the leakage recognition rate is nearly 100% by selecting a peak signal-to-noise ratio (P-SNR) threshold of 7.26. …”
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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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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…This research aims to build a cryptocurrency forecasting model with a machine learning-based time series approach using the gated recurrent units (GRU) algorithm. The dataset used is historical Bitcoin closing price data from January 1, 2017, to July 31, 2024. …”
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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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Group attention for collaborative filtering with sequential feedback and context aware attributes by Hadise Vaghari, Mehdi Hosseinzadeh Aghdam, Hojjat Emami

“…However, due to individual variations in rating patterns and dynamic interplays of item attributes, it becomes challenging to model user preferences accurately. …”
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