Using System‐Inspired Metrics to Improve Water Quality Prediction in Stratified Lakes by Kamilla Kurucz, Cayelan C. Carey, Peisheng Huang, Eduardo R. De Sousa, Jeremy T. White, Matthew R. Hipsey

“…Calibration is generally based on direct data comparison of observed versus modeled state variables using standard statistical techniques, however, this approach may not give a complete picture of the model's ability to capture system‐scale behavior that is not easily perceivable in observations, but which may be important for resource management. …”
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Comparison of efficiency management training using lecturing and small group teaching on learning rate of Nursing and Midwifery student’s by Fariba Asgari, Taherehsadat Khoshnazar, Asiyeh Sedighi

“…Objective: This study aims to determine the effectiveness of management teaching within two learning process techniques using tutorials and small group teaching for Nursing and Midwifery student. …”
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Beyond the Whistle: Mapping Global Trends in Physical Education Teaching Methods through Bibliometric Analysis by Jian Li, Seong Pek Lim

“…The study employed bibliometric techniques, including co-citation and co-word analysis, to rigorously assess publishing patterns, influential works, and theme clusters using data from 278 articles that were retrieved from the Web of Science. …”
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Model-Based Feature Extraction and Classification for Parkinson Disease Screening Using Gait Analysis: Development and Validation Study by Ming De Lim, Tee Connie, Michael Kah Ong Goh, Nor ‘Izzati Saedon

“…ObjectiveThe study aimed to develop a noninvasive approach for the early detection of PD by analyzing model-based gait features. …”
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Personalizing mobile applications for health based on user profiles: A preference matrix from a scoping review. by Laëtitia Gosetto, Gilles Falquet, Fréderic Ehrler

“…Adapting mHealth content based on user profiles requires reliable personality assessments and privacy-conscious data collection to enable personalized, profile-specific interventions for improved outcomes.…”
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Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor by Ananias Pereira Neto, Ananias Pereira Neto, Fabrício J. B. Barros

“…IntroductionWavelet thresholding techniques are crucial in mitigating noise in data communication and storage systems. …”
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PLA4MS: Curated Georeferenced Dataset for Cloud Removal in Remote Sensing by Sushil Ghildiyal, Ashutosh Kumar, Neeraj Goel, Mukesh Saini, Abdulmotaleb El Saddik

“…This work presents a comprehensive cloud-removal dataset aimed at advancing remote sensing techniques, with cloud removal as the primary focus. …”
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Sustainable Values in the Structure of Traditional <i>Osing</i> Houses in Indonesia by Cindy Puspita, Agus Dwi Hariyanto, Lilianny S. Arifin

“…This study reveals that the architectural design and construction process of an energy-efficient traditional building can be adapted to contemporary sustainable housing. The primary aim was to identify and analyze sustainability values in the construction process and techniques of traditional <i>Osing</i> houses in <i>Kemiren</i> Village, Banyuwangi, which can serve as a reference for modern sustainable architecture practices. …”
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A Comparative Analysis of Logarithmic Law, Reynolds Stress, and Turbulence Kinetic Energy Methods for Bed Shear Stress Estimation in Complex Open‐Channel Flow by Jeongsook Jeon, SeokKoo Kang

“…Although these methods have proven effective for simple boundary‐layer‐type flows, their efficacy in complex flow scenarios remains largely unexplored. This study aimed to evaluate the predictive capabilities of three popular indirect bed‐shear‐stress estimation methods—the logarithmic law, Reynolds shear stress (RSS), and turbulence kinetic energy (TKE) techniques—in a complex flow environment involving an obstacle in an open channel, producing massive flow separation and unsteady vortex shedding. …”
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A proposed methodology to develop digital twin framework for plasma processing by Alasdair Mitchell, Xinyang Wei, Rongyan Sun, Kazuya Yamamura, Long Ye, Jonathan Corney, Nan Yu

“…In this context, the digital twin (DT) method offers a visualisation and simulation techniques that enable better understanding of plasma complexities, control, and precision. …”
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Predicting the Performance of Students Using Deep Ensemble Learning by Bo Tang, Senlin Li, Changhua Zhao

“…The method under consideration aims to forecast the academic achievement of students through an ensemble of deep neural networks. …”
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Countermeasuring Anti-Ship Missiles for Surface Naval Platforms: A Machine Learning Approach With Explainable Artificial Intelligence by Murat Ertop, Ali Oter, Ali Kara

“…Chaffs and flares can be launched from naval platforms as soft-kill countermeasures to address such threats within the context of conflict. This paper aims to devise effective strategies for deploying countermeasures and executing platform maneuvers against radar and infrared-guided seekers, utilizing machine learning and artificial intelligence techniques. …”
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Retelling strategies for comprehending and interpreting short stories by Santha Mary Louis, Kulwindr Kaur Gurdial Singh

“…A pre-test, post-test, pretest questionnaire and a post-test questionnaire were used for data collection. The pre-test questionnaire asked about their profile, exposure to English language and their difficulties in comprehending and interpreting a short story The post-test questionnaire aimed to find out if the retelling strategies taught to them had helped them answer the post-test questions. …”
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The Implementation of Mimicry Memorization Method for Novice Students in Learning Arabic Mufradat by Nor Afifah, Sunarto Sunarto, Moh. Fery Fauzi, Irma Anindiati, Talqis Nurdianto

“…The research was a quantitative method with a type of experimental research techniques. The data research was collected from observation, documentation, and oral tests techniques. …”
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Heart Disease Diagnostics Using Meta-Learning-Based Hybrid Feature Selection by Kaushalya Dissanayake, Md Gapar Md Johar

“…Using the extensive heart disease dataset provided by the IEEE DataPort, our method aims to enhance the accuracy of diagnosis by gradually refining the selection of relevant features at two separate stages. …”
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Change Detection methods for forest expansion assessment in the last twenty years in the Mediterranean Basin by Mancino G, Falciano A, Trivigno ML

“…The identification of forest expansion/reduction dynamics at a regional scale has been provided through multitemporal analyses of high-resolution satellite images. This study aims to compare different Change Detection (CD) techniques to assess forest expansion in the Basilicata region (Southern Italy). …”
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Medial open wedge osteotomy yields comparable stability to lateral open wedge procedure on the distal femur. by Roman Frederik Karkosch, Michael Schwarze, Tomas Smith, Maximilian Petri, Marc-Frederic Pastor, Hauke Horstmann

“…While lateral open wedge techniques are common for valgus deformities, the data about medial open wedge techniques for varus deformities is sparse. …”
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Development of LVEP-Based IPAS Monopoly Media to Improve Nationalist Character on Grade IV Elementary School Students by Rima Widya Nugraha Vita, An-Nisa Apriani, Indah Perdana Sari, Yusinta Dwi Aryani

“…This research uses a 4D development model. Data collection techniques in this research are observation, interviews, and questionnaires. …”
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Spatial modelling of vector-borne diseases: Where? When? How many? by Mr Cedric Marsboom

“…This aspect of our work is aimed at predicting the geographical spread and timing of disease outbreaks, as well as estimating the potential number of cases. …”
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El aprender, el saber y el enseñar: los problemas en el aula vida Estudio de Revisión Sistemática. by Gonzalo Tamayo Giraldo, Analía Verónica Losada

“…Results: The 28 articles selected, allowed to obtain relevant data which was organized into 3 major analyzed categories: methodologies and techniques employed, use of new technologies, conception of learning and knowledge as an application for everyday life. …”
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