Co-creation and application of a framework for the de-prioritization of urban communities during insecticide-treated bed net mass campaigns for malaria prevention and control in Kw... by Ifeoma D. Ozodiegwu, Laurette Mhlanga, Eniola A. Bamgboye, Adeniyi F. Fagbamigbe, Cyril Ademu, Chukwu Okoronkwo, Joshua O. Akinyemi, Akintayo O. Ogunwale, IkeOluwapo O. Ajayi, Beatriz Galatas

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Temporal scalability analysis of spectral remote sensing and Machine Learning-Based models for forest mapping in the tropical region of Nigeria by K. Pawłuszek-Filipiak, D. Włodarczyk, K. Stuchły, F.E. Ikuemonisan

“…The integration of machine learning (ML) algorithms with remote sensing (RS) data offers significant potential for enhancing dynamic forest characterization and change detection through high temporal density mapping. …”
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The current use and application of thresholds for clinical importance of the EORTC QLQ-C30, the EORTC CAT core and the EORTC QLQ-C15-PAL– a systematic scoping review by Micha J. Pilz, Anna M.M. Thurner, Lisa M. Storz, Daniela Krepper, Johannes M. Giesinger

“…Articles were included if they applied TCIs in the analysis or the interpretation of PRO data or in clinical practice. Data concerning the study design, the use of TCIs, the terminology, and the application of TCIs were extracted. …”
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Analyser l’évolution des pratiques sportives en montagne peu aménagée à partir des données de fréquentation des cabanes. Application aux Alpes Valaisannes by Jacques Mourey, Christophe Clivaz, Philippe Bourdeau

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A novel ddPCR™ assay for eDNA detection and quantification of Greater Amberjack Seriola dumerilli and three congeners in US waters: challenges and application to fisheries independ... by P. Joana Dias, Ryan Lehman, Bryan L. Huerta-Beltrán, Ana Wheeler, Crystal L. Hightower, Jessica Heise, Theodore Switzer, Clint Rhode, J. Marcus Drymon, Lynne Stokes, Mark A. Albins, Sean Powers, Nicole Phillips

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Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization by Ehsan Saghapour, Ehsan Saghapour, Rahul Sharma, Delower Hossain, Delower Hossain, Kevin Song, Kevin Song, Zhandos Sembay, Zhandos Sembay, Jake Y. Chen, Jake Y. Chen

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Application research and effectiveness evaluation mechanism of hybrid intelligent algorithm integrating cognitive computing and deep learning for dynamically adjusting employee per... by Zhenlin Luo, Kebin Lu

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Magnetic resonance imaging (MRI) radiomics in paediatric neuro-oncology: A systematic review of clinical applications, feature interpretation, and biological insights in the ch... by Teesta Mukherjee, Omid Pournik, Theodoros N Arvanitis

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Centrality nearest-neighbor projected-distance regression (C-NPDR) feature selection for correlation-based predictors with application to resting-state fMRI study of major depressi... by Elizabeth Kresock, Bryan Dawkins, Henry Luttbeg, Yijie Jamie Li, Rayus Kuplicki, B A McKinney

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THE EFFECT OF IMPLEMENTING THE PROBLEM-BASED LEARNING (PBL) MODEL WITH THE KIPIN SCHOOL 4.0 APPLICATION MEDIA ON THE LEARNING OUTCOMES OF SEVENTH-GRADE STUDENTS AT STATE JUNIOR HIG... by Nur Hidayah, Elsje Theodora Maasawet, Evie Palenewen, Makrina Tindangen

“…The data analysis results demonstrate a statistically significant value. …”
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PLASMOpred: A Machine Learning-Based Web Application for Predicting Antimalarial Small Molecules Targeting the Apical Membrane Antigen 1–Rhoptry Neck Protein 2 Invasion Complex by Eugene Lamptey, Jessica Oparebea, Gabriel Anyaele, Belinda Ofosu, George Hanson, Patrick O. Sakyi, Odame Agyapong, Dominic S. Y. Amuzu, Whelton A. Miller, Samuel K. Kwofie, Henrietta Esi Mensah-Brown

“…The performances of the models were evaluated using accuracy, F1 score, and receiver operating characteristic—area under the curve (ROC-AUC) and validated using held-out data and a y-randomization test. An applicability domain analysis was carried out using the Tanimoto distance with a threshold set at 0.04 to ascertain the sample space where the models predict with confidence. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…To address these challenges, a data augmentation method for rice leaf disease images was proposed based on an improved CycleGAN model in this reseach which aimed to expand disease image datasets by generating disease features, thereby alleviating the burden of collecting real disease data and providing more comprehensive and diverse data to support automatic rice disease recognition.MethodsThe proposed approach built upon the CycleGAN framework, with a key modification being the integration of a convolutional block attention module (CBAM) into the generator's residual module. …”
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Charting a course for freshwater biomonitoring: The grand challenges identified by the global scientific community by Adam G. Yates, Robert B. Brua, Joseph M. Culp, Francisca C. Aguiar, Anila P. Ajayan, Thomas Aspin, Mirco Bundschuh, Mirian R. Calderón, Zoltán Csabai, Helen Dallas, Thibault Datry, Karina Dias Silva, Jean Dzavi, Judy England, Tibor Erős, Daniel Gebler, Willem Goedkoop, Alexia Maria González-Ferreras, David P. Hamilton, Robert M. Hughes, Leandro Juen, Ben J. Kefford, Ricardo Koroiva, Edward M. Krynak, Isabelle Lavoie, Jennifer Lento, Raphael Ligeiro, Renato T. Martins, Frank O. Masese, Luciano Fogaça de Assis Montag, Jordan Musetta-Lambert, Kristin J. Painter, Sandra Poikane, Andreu Rico, Renata Ruaro, Sergi Sabater, Thaisa Sala Michelan, Jonas Schoelynck, Nathan J. Smucker, Igor Stanković, Rachel Stubbington, Heidi van Deventer, Lara van Niekerk, Paul J. Van den Brink, Gábor Várbíró, Elizabeth W. Wanderi

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The Application of Machine Learning Algorithms to Predict HIV Testing Using Evidence from the 2002–2017 South African Adult Population-Based Surveys: An HIV Testing Predictive Mode... by Musa Jaiteh, Edith Phalane, Yegnanew A. Shiferaw, Haruna Jallow, Refilwe Nancy Phaswana-Mafuya

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Marginal structural models for repeated measures where intercept and slope are correlated: An application exploring the benefit of nutritional supplements on weight gain in HIV-inf... by Ruth E Farmer, Rhian Daniel, Deborah Ford, Adrian Cook, Victor Musiime, Mutsa Bwakura-Dangarembizi, Diana M Gibb, Andrew J Prendergast, A Sarah Walker, ARROW trial team

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AI-Driven Optimization of Fly Ash-Based Geopolymer Concrete for Sustainable High Strength and CO₂ Reduction: An Application of Hybrid Taguchi–Grey–ANN Approach by Muhammad Usman Siddiq, Muhammad Kashif Anwar, Faris H. Almansour, Muhammad Ahmed Qurashi, Muhammad Adeel

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Seleção de variáveis para classificação de bateladas produtivas com base em múltiplos critérios A multiple criteria-based method for variable selection in industrial applications... by Michel José Anzanello

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Clinical Applicability of Various Digital Softwares Used in Forensic Odontology for Age Estimation Using Teeth on Cone-beam Computed Tomography Imaging: A Systematic Review and Met... by Gandikota Kartheek, G. Santhosh Reddy, Kolasani Balaram, Sameena Parveen, P. Veeralakshmi, Sally Hassan Abobaker, J. Suresh Babu, C. Swarnalatha, Abhishek Singh Nayyar

“…Again, digital software tools such as Adobe Photoshop CS2, AutoCAD, i-Dixel imaging software, ImageJ, ITK-SNAP 3.8, MIMICS, and OsiriX among others were evaluated for their precision and efficacy. The extracted data were organized in an Excel sheet including categories such as author, year, software used, sample size included, age estimation method used, age group included, teeth used, and location of the study, while the data obtained were subjected to statistical analysis. …”
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Burned Areas Mapping Using Sentinel-2 Data and a Rao’s Q Index-Based Change Detection Approach: A Case Study in Three Mediterranean Islands’ Wildfires (2019–2022) by Rafaela Tiengo, Silvia Merino-De-Miguel, Jéssica Uchôa, Nuno Guiomar, Artur Gil

“…The Copernicus Emergency Management System (CEMS) data were used to assess and validate all the results. …”
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Application of three statistical approaches to explore effects of dietary intake of multiple persistent organic pollutants on ER-positive breast cancer risk in the French E3N cohor... by Pauline Frenoy, Ismaïl Ahmed, Chloé Marques, Xuan Ren, Gianluca Severi, Vittorio Perduca, Francesca Romana Mancini

“…Intakes of 81 POPs were estimated using food consumption data from a validated semi-quantitative food frequency questionnaire and food contamination data. …”
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