Associations between Doximity internal medicine residency navigator reputation rank and publicly available metrics by Christopher R. Stephenson, Jayawant N. Mandrekar, Thomas J. Beckman, Christopher M. Wittich

“…Results In multivariable analysis (parameter estimate ± standard error), higher ABIM pass rates (-1.30 ± 0.41), higher physician faculty-to-resident ratios (-14.10 ± 4.45), older programs (-1.07 ± 0.25), availability of research rotations (-38.56 ± 16.23), and larger program sizes (-1.09 ± 0.16) were associated with better Doximity ranks. …”
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Global self-localization and navigation using 3D-LiDAR for headland turning in vineyards by Kanya Usu, Yoshitomo Yamasaki, Kazunobu Ishii, Noboru Noguchi

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Artificial Neural Network Modeling of NixMnxOx based Thermistor for Predicative Synthesis and Characterization by T.D. Dongale, K.G. Kharade, N.B. Mullani, G.M. Naik, R.K. Kamat

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Development of a Bowtie Inversion Technique for Real‐Time Processing of the GOES‐16/‐17 SEISS MPS‐HI Electron Channels by A. Boudouridis, J.V. Rodriguez, B.T. Kress, B.K. Dichter, T.G. Onsager

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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions by Olena Gavrilenko, Mykhailo Miahkyi

“…This makes it possible to conduct a relevant research with the subsequent development of a tool that, if used correctly, will provide users with advisory advice on further actions in relation to the cryptocurrency under study in the system. …”
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Optimizing demulsifier selection for crude oil dehydration: a fuzzy TOPSIS-based multi-criteria decision-making approach by Jianyong Yu, Merwa Alhadrawi, Farag M. A. Altalbawy, Ahmed Rasol Hasson, M. Mehdi Shafieezadeh

“…Compared to conventional selection approaches that often rely on trial-and-error or single-criterion assessments, this study demonstrates that Fuzzy TOPSIS provides a structured, quantitative, and transparent approach to demulsifier selection. …”
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Quality of Life, Pain, and Sexual Desire in the Elderly Over 65 Years of Age by Patricia Rocamora‐Pérez, Azahara de la Poza‐Rodríguez, María Jesús Benzo‐Iglesias, José Manuel Aguilar‐Parra, Rubén Trigueros‐Ramos, Remedios López‐Liria, María José Morales‐Gázquez

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Can traditional games improve gross motor performance of elementary school students? Meta-analysis study by Iqbal Maulana, Sigit Nugroho, Ahmad Nasrulloh

“…The data search was conducted by merging information gathered from prior research indexed by Google Scholar and published between 2017 and 2022. …”
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Precision forecasting for hybrid energy systems using five deep learning algorithms for meteorological parameter prediction by Ceren Ceylan, Zehra Yumurtacı

“…Most significantly, our framework successfully forecasted sixth year (2023) energy production with 1.55 % error, validating its real-world applicability. This research contributes to the methodological advancement of renewable energy forecasting by systematically identifying optimal algorithmic approaches for different meteorological parameters in hybrid systems, thereby supporting the integration of intermittent renewable sources into sustainable energy infrastructures.…”
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Long-term trends and chemometric analysis of atmospheric air quality matrices in Nigeria (2003–2023) using NASA GIOVANNI satellite data by Daniel Omeodisemi Omokpariola, John Kanayochukwu Nduka, Martin Osita Anagboso, Patrick Leonard Omokpariola

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Multi-Seasonal Risk Assessment of Hydrogen Leakage, Diffusion, and Explosion in Hydrogen Refueling Station by Yaling Liu, Yao Zeng, Guanxi Zhao, Huarong Hou, Yangfan Song, Bin Ding

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Retrieval of Snow Depth in Arctic Multi-year Ice Based on SMRT Model by FAN Yanfei, LI Lele, PANG Chunyu, SHI Lijian

“…The retrieval results are in good agreement with the snow depth measured by OIB, and the Root Mean Square Error (RMSE) for both is 0.07m, indicating the validity of the multi-year ice snow depth retrieve algorithm based on SMRT model.…”
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Evaluating the impact of machine learning models on adult major depressive disorder using conventional treatment strategies: a systematic review approach by Nishant Yadav, Anamika Gulati, Varun Gulati, Prashant Yadav

“…Abstract Background Major Depressive Disorder (MDD) is a leading cause of global disability often treated through a trial-and-error approach, yet treatment response to antidepressants remains highly variable, with remission rates below 50% after initial treatment. …”
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Innovative Diversity Metrics in Hierarchical Population‐Based Differential Evolution for PEM Fuel Cell Parameter Optimization by Mohammad Khishe, Pradeep Jangir, Arpita, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Laith Abualigah

“…Furthermore, the voltage–current (V–I), power‐current (P–I), and error characteristics derived from the HPDE algorithm consistently align with both simulated and experimental data across all seven models of PEMFCs. …”
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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…Results The model conducted predictions on missing detection data and achieved indirect measurements of key indicators, with a relative error between predicted and measured values staying below 25%, meeting acceptable standards. …”
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Psychometric testing of the Persian version of the nurse caring behavior scale by Mojtaba Jafari, Reza Ghanei Gheshlagh, Abbas Ebadi, Asra Nassehi, Alessandro Sili, Michela Piredda

“…Confirmatory factor analysis was conducted to assess the scale dimensionality using multiple fit indices such as the root mean square error of approximation (RMSEA), the comparative fit index (CFI), the Tucker-Lewis index (TLI), and the standardized root mean square residual (SRMR). …”
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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…Abstract In this study, the research presents the Federated Learning Enhanced Multi-Layer Perceptron (Fed-MLP) Long Short-Term Memory that is suggested by the research. …”
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From Signal to Safety: A Data-Driven Dual Denoising Model for Reliable Assessment of Blasting Vibration Impacts by Miao Sun, Jing Wu, Junkai Yang, Li Wu, Yani Lu, Hang Zhou

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Psychometric properties of the Sport Mental Health Continuum – Short Form scale (Sport MHC-SF): cross-cultural validation and measurement invariance of the Chinese adaptation by Xiawei Wang, Yang Zhou, Lan Li, Yee Cheng Kueh, Linxian Zeng, Garry Kuan

“…Chi-square values were 262.704 (74) and 262.705 (74), respectively, with a comparative fit index (CFI) of 0.968, a Tucker-Lewis index (TLI) of 0.961, a standardized root mean square residual (SRMR) of 0.027, and a root mean square error of approximation (RMSEA) of 0.050 (90% CI: 0.043–0.056). …”
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Methodological approach to estimation of the structure of load bearing insulation materials of buildings and constructions of railway transport by A. I. Adilkhodzhaev, S. S. Shaumarov, E. V. Shchipacheva, N. I. Begmatov

“…Solving the problem of optimizing macrostructure of cellular concrete on the basis of an experiment using the “trial and error” method is very expensive. Moreover, even an experiment based on some technological approach does not guarantee a positive result for the values of average density taken in a reasonably wide range. …”
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