Surface Precision in Orthodontics: A Comprehensive Analysis of Interproximal Reduction Methods Using Atomic Force Microscopy by Abhishek Sinha, Sneha Surendran, Rashme Rashme, Savadamoorthi Kamatchi Subramani

“…Objective: The objective of this study is to comprehensively evaluate and compare the impact of three distinct IPR methods on the surface roughness of mandibular teeth using atomic force microscopy (AFM). …”
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International Market Selection Based on Integrated MCDM Methods: A Case Study of Iron and Steel Sector by Emre Kadir Özekenci

“…The weight of criteria was calculated by the FUCOM and LOPCOW methods. Once the weight of criteria was determined, the alternatives were ranked using the SPOTIS, RSMVC, CoCoSo and Borda Count methods. …”
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Analysis of Combined Strength Training with Small-Sided Games in Football Education Using Machine Learning Methods by Huseyin Guneralp, Hasan Ulas Yavuz, Boran Sekeroglu, Musa Oytun, Cevdet Tinazci

“…In this study, we analyzed 60 players in three groups. Two groups were trained independently with two single-training methods, small-sided games and a strength training model, and one group was trained independently with a double-training method, a combination of single-training methods. …”
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Methods to Stimulate the Proactivity of Enterprises in Fulfilling Safety Responsibilities: A Fundamental Issue in Construction Safety Management by Beining Chang, Xiaosi Yu, Yachen Liu

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Gene Expression Profiles for Predicting Metastasis in Breast Cancer: A Cross-Study Comparison of Classification Methods by Mark Burton, Mads Thomassen, Qihua Tan, Torben A. Kruse

“…This study compares the performance of seven classification methods and the effect of voting for predicting metastasis outcome in breast cancer patients, in three situations: within the same dataset or across datasets on similar or dissimilar microarray platforms. …”
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Co-creation methods for public health research — characteristics, benefits, and challenges: a Health CASCADE scoping review by Danielle Marie Agnello, Vinayak Anand-Kumar, Qingfan An, Janneke de Boer, Lea Rahel Delfmann, Giuliana Raffaella Longworth, Quentin Loisel, Lauren McCaffrey, Artur Steiner, Sebastien Chastin

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What should be publicly funded in the Colombian health system? A mixed methods study of citizens’ perceptions by Juan Carlos Velasquez, Claudia Marcela Vélez, Diana Patricia Díaz-Hernández, Pamela Velázquez-Salazar, Gilma Hernández-Herrera, Daniel Felipe Patiño-Lugo, Olga Francisca Salazar-Blanco, Leydi Camila Rodríguez-Corredor, Viviana María Vélez-Marín, Anny Julieth Jaramillo-García

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Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods by Wen-Tong Ji, Yong-Kun Wang, Zhan-Yang Han, Si-Qi Wang, Yao Wang, Yao Wang

“…Subsequently, we developed an online calculator (https://jiwentong0.shinyapps.io/dynnomapp/) with six variables for biopsy optimization.ConclusionThis study incorporated the results of three traditional diagnostic methods to establish a cost-effective and highly accurate model for predicting csPCa before biopsy. …”
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Comparative Analysis of Generative Artificial Intelligence Systems in Solving Clinical Pharmacy Problems: Mixed Methods Study by Lulu Li, Pengqiang Du, Xiaojing Huang, Hongwei Zhao, Ming Ni, Meng Yan, Aifeng Wang

“…Three researchers simultaneously tested 8 different generative AI systems (ERNIE Bot, Doubao, Kimi, Qwen, GPT-4o, Gemini-1.5-Pro, Claude-3.5-Sonnet, and DeepSeek-R1) using standardized prompts within a single day (February 20, 2025). …”
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Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production by Johanna Ramirez-Diaz, Arianna Manunza, Tiago Almeida de Oliveira, Tania Bobbo, Francesco Nutini, Mirco Boschetti, Maria Grazia De Iorio, Giulio Pagnacco, Michele Polli, Alessandra Stella, Giulietta Minozzi

“…A total of 38 features related to temperature, humidity, precipitation, pressure, wind, and enhanced vegetation index–EVI were used. Three ML models were trained: Decision Tree, Random Forest, and Extreme Gradient Boosting (XGBoost). …”
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Health system responsiveness for maternal healthcare services in East Africa: a mixed-methods systematic review by Ayal Debie, Molla M. Wassie, Claire T. Roberts, Meseret Derbew Molla, Annabelle Wilson, Jacqueline H. Stephens

“…Therefore, we aim to examine the successes, challenges, and strategies of HSR toward universal maternity care in East Africa using a mixed-methods systematic review. Methods We conducted a mixed-methods systematic review of studies published from 1 January 2020 to 8 June 2024. …”
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Application of various canopy resistance calculation methods in vineyard evapotranspiration simulation at daily scale in Northwest China by Jingying Zhang, Dianyu Chen, Xiaotao Hu, Lucheng Qiu, Shujian Wang, Xuanrong Zhu, La Zhuo, Dongyan Zhang, Linzhe Wu, Linlin Zhang

“…By comparison of 5-year (2018–2022) measured daily ET with the Bowen ratio, a canopy resistance optimization method was developed. The model parameter optimization was based on the Bayesian method. …”
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Assessment of Body Morphometry to Classify Two Colombian Creole Pigs Using Statistical and Machine Learning Methods by Arcesio Salamanca-Carreño, Mauricio Vélez-Terranova, Pere M. Parés-Casanova, Paula A. Toalombo-Vargas, David E. Rangel-Pachón, Andrés F. Castillo-Pérez

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Comparison of Radiomics and conventional SUVr methods for Alzheimer’s disease classification using AV45 PET imaging by Haiyan Gao, Arui Tan, Junhao Wu, Zhen Cao, Ziyang Zhu, Wei Zhang

“…ObjectiveTo compare the diagnostic performance of radiomics-based analysis and the conventional standardized uptake value ratio (SUVr) method in classifying Alzheimer’s disease (AD) and non-Alzheimer’s disease (NAD) using AV45 PET imaging.MethodsThis retrospective study included 79 patients diagnosed with AD and 34 patients diagnosed with NAD between July 2023 and August 2024. …”
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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

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METHODS FOR THE CHOOSING THE RATIONAL COMBINATION AND COMPARISON OF THE CHARACTERISTICS AND FACTORS OF THE EFFICIENCY OF THE PRODUCTION PROCESSES AND TECHNOLOGIES OF THE BOREHOLE D... by V. V. Kulikov

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Six decades of global coral bleaching monitoring: a review of methods and call for enhanced standardization and coordination by Andrea Rivera-Sosa, Aarón Israel Muñiz-Castillo, Ben Charo, Gregory P. Asner, Chris M. Roelfsema, Simon D. Donner, Brianna D. Bambic, Ana Gabriela Bonelli, Ana Gabriela Bonelli, Morgan Pomeroy, Morgan Pomeroy, Derek Manzello, Paulina Martin, Helen E. Fox

“…Among recorded methods, belt transects (42%), line and point intercept transects (33%), and random surveys (17%) were the most widely applied. …”
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Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…Following this, we systematically categorize the existing object detection methods into four main approaches: (1) data enhancement-based ones, which enhance network robustness via augmentation of training datasets to account for weather variations; (2) point cloud denoising-based ones, which mitigate the effect of weather-induced noise via cleaning of raw point cloud data, thereby increasing detection accuracy; (3) domain adaptation-based ones, which use models trained under favorable weather conditions to guide the training of networks designed for adverse weather so as to enhance the model’s generalization ability; and (4) multisensor fusion-based ones, which enhance detection performance via integration of multimodal data from various sources, such as combining LiDAR with camera or radar. …”
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Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations. by Hyeon-Seok Kim, Do-Hyeon Kim, Sun-Yong Choi

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A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

“…By leveraging machine learning and statistical learning techniques, we aim to develop a robust clinical decision support system for dental practitioners.MethodsThis research aims to predict the eruption of 3rd molars in the mandible by analyzing three parameters: the distance from the lower 2nd molar to the anterior border, the mesiodistal width of the third molar, and the distance from the apex of the root to the inferior border of the mandible. …”
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