A qualitative study to explore mother’s experiences of a family MUAC project in two provinces in South Africa by C. Horwood, S. Luthuli, L. Haskins, S. Mapumulo, Z. Kubeka, G. Tshitaudzi

“…Coding reliability thematic analysis with topic summaries was employed to analyse the data using Nvivo v12. …”
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Weightbearing Protocols and Outcomes in Open Surgical Management of Haglund Syndrome: A Retrospective Analysis by Zoe Hinton MD, Katherine Kutzer BS, Kali Morrissette BS, Kevin Wu BS, Alexandra Krez MD, Albert T. Anastasio MD, Annunziato Amendola MD

“…Patients were included if the surgery was performed by a currently active, fellowship-trained Foot and Ankle orthopaedic surgeon, without simultaneous management of other foot pathologies. …”
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Regression analysis and artificial neural networks for predicting pine species volume in community forests by Wenceslao Santiago-García

“…For the machine learning approach, multilayer perceptron (MLP) artificial neural networks (ANNs) were trained using four input variables: diameter at breast height, total tree height, species, and volume type. …”
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Triage implementation in Pakistan: a case of broken healthcare system by Misha Mansoor, Muhammad Hamza Shafiq, Mubashra Khalid

“…All the patients escorted and rescued from the place of incident should be sorted rapidly and given a colour-coded tag based on urgency. Onsite triage is the most critical life saving measure. …”
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Generating Anticancer Peptides Sequences Using Seq2Seq Modeling and Machine Learning Methods by Muhammad Sohail Ibrahim, Saheed Ademola Bello, Yunsang Kwak, Minseok Kim, Shujaat Khan

“…The proposed computational approach offers a streamlined and economical alternative to traditional experimental methods, expediting the discovery of new ACPs and enhancing the accuracy of anticancer peptide predictions. The relevant models, codes, and results are also available on the authors github page at (<uri>https://github.com/mhdshl/ACP-Seq2Seq</uri>).…”
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Genetic control of sweetness and acidity in blackberry by Carly Godwin, T. Mason Chizk, Carmen Johns, Lacy Nelson, Renee Threlfall, John R. Clark, Margaret L. Worthington

“…Two peak SNPs located at 4,448,123 and 4,448,155 bp on Ra05 explained 13.6% and 11.5% of observed phenotypic variance for pH and TA, respectively. A gene coding for a sucrose binding protein on chromosome Ra02 was identified as a possible candidate gene for SSC. …”
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Sustainability of Interprofessional Education: Protocol for a Scoping Review by Nathalia Hanany Silva de Oliveira, Renata Fonsêca Sousa de Oliveira, Juliana Pontes Soares, Janete Lima de Castro

“…This scoping review protocol follows the JBI Reviewers’ Manual, with 6 stages: identifying the research question; identifying relevant studies; study selection; data extraction and coding; analysis and interpretation of results; and consultation with stakeholders. …”
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Exploring perceived barriers and facilitators to using mobile phone technology for delivering HPV test results in malawi: a qualitative study with HPV-Screened women, healthcare pr... by John C. Chapola, Lameck Chinula, Wezzie Dunda, Agatha Bula, Bettie Kasonkanji, Jennifer H. Tang

“…Data collected through the IDIs were recorded, transcribed, and translated. The transcripts were coded in NVivo 14 and analyzed using thematic analysis. …”
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Proposed changes to framework to assess contraceptive autonomy based on phased in-depth interviews in northwest Tanzania by Sheridan F. Bowers, Valencia J. Lambert, Aneth Nzali, Anna Samson, Nelusigwe Mwakisole, Hidaya Yahaya, Radhika Sundararajan, Samuel E. Kalluvya, Agrey H. Mwakisole, Jennifer A. Downs

“…Interviews were digitally recorded, transcribed verbatim, translated into English, and independently coded by two investigators. Results A total of 72 women were interviewed. …”
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cigChannel: a large-scale 3D seismic dataset with labeled paleochannels for advancing deep learning in seismic interpretation by G. Wang, G. Wang, G. Wang, X. Wu, X. Wu, X. Wu, W. Zhang, W. Zhang, W. Zhang

“…</a>, <a href="#bib1.bibx66">2024</a></span>, <a href="https://doi.org/10.5281/zenodo.10791151">https://doi.org/10.5281/zenodo.10791151</a>), data generation codes, and trained U-Net model (<span class="cit" id="xref_altparen.2"><a href="#bib1.bibx64">Wang</a>, <a href="#bib1.bibx64">2024</a></span>, <span class="uri">https://github.com/wanggy-1/cigChannel</span>, last access: 5 July 2025), aiming to advance deep learning approaches for seismic paleochannel interpretation.…”
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Electrocardiogram-Based Artificial Intelligence to Identify Coronary Artery Disease by Shinwan Kany, MD, MSc, Samuel F. Friedman, PhD, Mostafa Al-Alusi, MD, Shaan Khurshid, MD, MPH, Joel T. Rämö, MD, PhD, Daniel Pipilas, MD, James P. Pirruccello, MD, Christopher Reeder, PhD, Anthony A. Philippakis, MD, PhD, Jennifer E. Ho, MD, Mahnaz Maddah, PhD, Patrick T. Ellinor, MD, PhD, Akl C. Fahed, MD, MPH

“…Methods: ECG2CAD was trained on 764,670 ECGs representing 137,199 individuals at Massachusetts General Hospital (MGH). …”
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Effects of livestock related gender roles on pastoral children and their implication to RVF risk exposure by Irene N. Mutambo, Bernard Bett, Salome A. Bukachi

“…Data was transcribed, coded and analyzed in NVivo 14. Findings: We found that boys and girls had varying levels of knowledge about RVF, with boys showing a deeper understanding of RVF. …”
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Tumor tissue-of-origin classification using miRNA-mRNA-lncRNA interaction networks and machine learning methods by Ankita Lawarde, Ankita Lawarde, Masuma Khatun, Prakash Lingasamy, Prakash Lingasamy, Andres Salumets, Andres Salumets, Andres Salumets, Vijayachitra Modhukur, Vijayachitra Modhukur

“…IntroductionMicroRNAs (miRNAs) regulate gene expression and play an important role in carcinogenesis through complex interactions with messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). Despite their established influence on tumor progression and therapeutic resistance, the application of miRNA interaction networks for tumor tissue-of-origin (TOO) classification remains underexplored.MethodsWe developed a machine learning (ML) framework that integrates miRNA-mRNA-lncRNA interaction networks to classify tumors by their tissue of origin. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…However, they suffer from the problem of ignoring the latent codes&#x2019; embedding distribution, which results in poor representation in many instances. …”
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Hybrid FRP strengthening of reinforced concrete deep beams: Experimental, theoretical and machine learning-based study by Phromphat Thansirichaisree, Qudeer Hussain, Mingliang Zhou, Ali Ejaz, Shabbir Ali Talpur, Panumas Saingam

“…Evaluation of predictive models for shear capacity highlighted discrepancies. None of the existing codes provide expressions that account for the shear contributions of externally bonded FRP systems on beams with opening shape and size implicitly defined. …”
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From the WHO framework to integrated senior health and wellness hub program: an implementation journey by Xiaoting Huang, Xiaoting Huang, Hao Yi Tan, Hao Yi Tan, Hao Yi Tan, Pei Ling Er, Amber Wong, Si Qi Lim, Joshua Kuan Tan, Wan Qi Yee, Xiaohui Xin, Lian Leng Low

“…A critical innovation is the “train-the-trainer” model, which enhances capacity-building among AAC staff and volunteers which supports sustainable program delivery.ResultsQualitative insights were gathered from 5 focus groups (n = 20) and 1 feedback group (n = 10), analyzed thematically through consensus-driven coding. …”
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Facilitators and barriers to reach and enrollment into a medically tailored meals program within a section 1115 Medicaid pilot: clinic staff perspectives by Sara C. Folta, Jessica Burch, Matthew Alcusky, Arlene S. Ash, Kurt Hager, Jean Terranova, Fang Fang Zhang, Oyedolapo Anyanwu, Zhongyu Li, Dariush Mozaffarian

“…Interviews were recorded and transcribed and coded using NVivo software. We used directed qualitative content analyses. …”
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Unsupervised clustering for sepsis identification in large-scale patient data: a model development and validation study by Na Li, Kiarash Riazi, Jie Pan, Kednapa Thavorn, Jennifer Ziegler, Bram Rochwerg, Hude Quan, Hallie C. Prescott, Peter M. Dodek, Bing Li, Alain Gervais, Allan Garland

“…The two current identification approaches use codes from administrative data, or electronic health record (EHR)-based algorithms such as the Center for Disease Control Adult Sepsis Event (ASE); both have limitations. …”
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Museums and Geoconservation by Michael J. Benton, Sarah King

“…Fossil collecting is managed through codes of conduct rather than laws. The codes operate on rapidly eroding coastlines where fossils may be found at any time and if they are not collected might be lost to erosion. …”
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Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study by Clair Blacketer, Martijn J Schuemie, Maxim Moinat, Erica A Voss, Montse Camprubi, Peter R Rijnbeek, Patrick B Ryan

“…However, the heterogeneity of European health care systems, data capture methods, coding standards, and governance structures poses challenges for generating robust and reproducible real-world evidence. …”
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