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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Diagnosis and management of endometrial hyperplasia: A UK national audit of adherence to national guidance 2012-2020. by Ian Henderson, Naomi Black, Hajra Khattak, UKARCOG Working Group Authors, Janesh K Gupta, Michael P Rimmer

“…We aimed to describe the care of patients with EH; to compare the patterns of care for those with EH with national guidance to identify opportunities for quality improvement; and to compare patterns of care prior to and following the introduction of national guidance to understand its impact.…”
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A cross-sectional study of evaluating cervical spondylotic myelopathy based on gait and plantar pressures by Xuhong Zhang, Zichuan Wu, Hanlin Song, Aochen Xu, Junbin Liu, Junzhe Sheng, Baifeng Sun, Min Qi, Chen Xu, Yang Liu

“…Although previous studies have objectively assessed CSM-specific gait patterns using motion cameras as well as mechanical platforms, these methods have limitations such as limited metrics that can be analyzed or inconvenience for simple screening. …”
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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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Inversion Study of Maize Leaf Physiological Information Under Light–Temperature Stress Using Visible–Near Infrared Spectroscopy by Siyao Gao, Jianlei Qiao, Lina Zhou, Shuang Liu, Limei Chen, Yue Yu, Lijuan Kong

“…This study focuses on maize during the seedling stage and investigates the response patterns of maize leaf net photosynthetic rate, relative chlorophyll content (SPAD value), and visible–near-infrared spectral data under eight light–temperature stress conditions. …”
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Language-Based Engineering Considering the Trade-off among Words in Design Reflecting User’s Emotion by Nobuhisa KATSUMATA, Sonosuke HARADA, So FUKUHARA, Masao ARAKAWA, Shogo NAKAO, Masahiko FUJIWARA

“…We analyzed the relationship between user ratings and design elements using Quantification Theory Type I and created a database of these relationships. …”
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Dynamic allocation of regional shared parking spaces based on assignment problem model by Shuo Zheng, Ruijun Guo

“…By analyzing the usage patterns of parking areas, the relationship between supply and demand over time can be represented in a binomial form. …”
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Study on Hydraulic Fracture Propagation of Strong Heterogeneous Shale Based on Stress‐Seepage Damage Coupling Model by Wei Liu, Lei Xiao, Yunbin Ke, Yang Zhi, Kangxing Dong

“…To clarify the reasons for the limited height propagation of hydraulic fractures in strongly heterogeneous shale reservoirs, numerical simulation methods were used to study the propagation patterns of hydraulic fractures in shale reservoirs under different levels of anisotropy, flow rate, viscosity, and stress differences. …”
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Applying Combined One-Time Passwords to Prevent Phishing Attacks in Electronic Banking by Yufeng Qian

“…In this research, attention has been paid to the combined one-time passwords, and a solution based on behavioral patterns has been proposed, which has made significant improvements while maintaining its simplicity and user friendliness. …”
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A study of dominant factors in the coupled coordination of population–ecology–energy–digital economy in China based on random forest algorithm by Qikang Zhong, Jiawei Zhu, Zhe Li

“…The Nighttime Light Index, Urbanization Rate, and Green Coverage Rate are identified as the most important drivers, with the Nighttime Light Index consistently exhibiting the strongest influence on CCD. …”
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Direct Pore‐Scale Numerical Simulation of Microbially Induced Calcium Carbonate Precipitation by Mohammad Amin Razbani, Espen Jettestuen, Anja Røyne

“…We also explored effects of biomass density and biomass distribution on the reactive transport factors, as well as the effect of the urea to calcium ratio on the resulting crystallization patterns. We found that a higher ratio of rate of ureolysis to rate of precipitation leads to more nucleation sites and more uniform calcite precipitation in the geometry.…”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…The data used consists of 734 patient samples divided into 80% training data and 20% testing data, including physiological parameters such as systolic and diastolic blood pressure, respiratory rate, heart rate, and demographic data such as age and gender. …”
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Features of the functioning of regional airports in the context of the development of the Russian air transportation market by I. N. Rykova, A. A. Alaev, R. S. Gubanov

“…The applied methods of monographic and economic-statistical analysis, rating assessment provided the identification of patterns of changes in the results of airport operations. …”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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Dynamical modeling of syncytial mitotic cycles in Drosophila embryos by Laurence Calzone, Denis Thieffry, John J Tyson, Bela Novak

“…Numerical simulations reproduce the main features of wild‐type mitotic cycles: patterns of protein accumulation and degradation, lengthening of later cycles, and arrest in interphase 14. …”
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Using confidence, decision time, and confidence entropy to predict accuracy for online and real eyewitnesses by Adele Quigley-McBride, Rachel Leigh Greenspan

“…Confidence was measured in three ways: human-coded verbal statements, AI-classified verbal statements, and numeric ratings. We compared the correspondence between these confidence metrics, how multiple reflector variables relate to accuracy, and whether these patterns differ across two datasets. …”
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Verbal fluency tasks and attention problems in children with ADHD: evidence from fNIRS by Zouji Bian, Xiquan Ma, Yanhan Wang, Xiaodan Yu

“…Associations with the Swanson, Nolan, and Pelham Rating Scale (SNAP-IV) and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) scores were examined.ResultsChildren with ADHD showed significantly lower DLPFC activation and widespread negative patterns compared to neurotypically developed peers (p < 0.05). …”
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Professional success as a criterion for assessing efficiency of football clubs’ intellectual capital management /Professional success as a criterion for assessing efficiency of foo... by H.V. Mysaka, I.A. Derun

“…In response to the latest realities and patterns of economic relations, intellectual capital confidently received the status of the fourth factor of production. …”
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Anaesthetic practices in non-operating room settings for paediatric patients: A prospective observational study by Nayana Amin, Pallavi Patil, Virinchi Sanapala

“…There were 221 adverse events in 117 patients. The incidence rate of patients experiencing at least one adverse event leading to morbidity was 3.22%. …”
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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…Since the task is to explore patterns, i.e., urban heat islands, Gaussian blurring is implemented on these generated 2D raster data before the training process. …”
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