Integrating Dimensional Analysis and Machine Learning for Predictive Maintenance of Francis Turbines in Sediment-Laden Flow by Álvaro Ospina, Ever Herrera Ríos, Jaime Jaramillo, Camilo A. Franco, Esteban A. Taborda, Farid B. Cortes

“…The synergy lies in DA’s ability to reduce dimensionality and identify meaningful features, which enhances the ML models’ interpretability, while ML leverages these features to model non-linear and time-dependent patterns that DA alone cannot address. …”
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Usability Assessment of Salud Electronic Dental Record System by Alshammari A, Awawdeh M, Alsalwah NH, Alnafrani S, Alsaeed S

“…The application of TAM and DOI frameworks provided a structured lens to interpret usability challenges and inform targeted recommendations. …”
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Factors influencing virtual reality use in paediatric acquired brain injury upper limb rehabilitation: a qualitative study by Rajat Gupta, William Farr, Daniel Ray, Chandrasekar Rathinam

“…This project aims to understand the factors influencing the use of VR in upper limb rehabilitation in children.Design An interpretative qualitative study used focus groups and 1:1 semi-structured interviews conducted in person and online to explore participants’ experiences. …”
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BIM-Based Automatic Extraction of Daily Concrete and Formwork Requirements for Site Work Planning by Van-Hoan Pham, Po-Han Chen, Quan Nguyen, Diep-Thuy Duong

“…Conventionally, quantity takeoff was a manual process based on 2D drawings and human interpretation and was error-prone. Presently, with the popularity of Building Information Modelling (BIM), in BIM-based projects, using inbuilt quantity takeoff functions, quantities of work can be generated automatically from BIM models to aid the quantity takeoff. …”
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Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus by Ke-Lin Du, Rengong Zhang, Bingchun Jiang, Jie Zeng, Jiabin Lu

“…Furthermore, we discuss emerging research directions, such as adaptive ensemble methods, hybrid deep learning approaches, and multimodal data fusion, as well as challenges related to interpretability, model selection, and handling noisy data in high-stakes applications. …”
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The Study Social Consquences of Transport Commodity by Women from Qeshm to Tehran (Via Railway) by Esmat hosseni, Sasan Vadiea, Ehsan Rahmani Khalili

“…, with qualitative approach and grounded theory methodology, by theoretical data saturation by 50 half-structured interviews conducted among 30 transporter women and 20 experts who have been assigned through non-random, targeted and snowball sampling. …”
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Characterization of human living myocardial slices culture-induced adaptations: a translational perspective by Jort S.A. van der Geest, Ernest Diez Benavente, Willem B. van Ham, Pieter A. Doevendans, Linda W. van Laake, Teun P. de Boer, Vasco Sampaio-Pinto, Joost P.G. Sluijter

“…Developing robust human cardiac models is critical for advancing preclinical research and bridging the gap to clinical applications. …”
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Hadron Identification Prospects with Granular Calorimeters by Andrea De Vita, Abhishek, Max Aehle, Muhammad Awais, Alessandro Breccia, Riccardo Carroccio, Long Chen, Tommaso Dorigo, Nicolas R. Gauger, Ralf Keidel, Jan Kieseler, Enrico Lupi, Federico Nardi, Xuan Tung Nguyen, Fredrik Sandin, Kylian Schmidt, Pietro Vischia, Joseph Willmore

“…Additionally, the results highlight the importance of shower radius, energy fractions, and timing variables in distinguishing particle types. The XGBoost model demonstrated computational efficiency and interpretability advantages over deep learning for tabular data structures, while achieving similar classification performance. …”
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Advancing 6G: Survey for Explainable AI on Communications and Network Slicing by Haochen Sun, Yifan Liu, Ahmed Al-Tahmeesschi, Avishek Nag, Mohadeseh Soleimanpour, Berk Canberk, Huseyin Arslan, Hamed Ahmadi

“…With the evolution of the 6G networks, characterized by ultra-low latency, massive data rates, and intricate network structures, the need for transparency, interpretability, and fairness in AI-driven decision-making has become more urgent than ever. …”
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SOCIAL CONSTRUCTIVISM AS A SOLUTION TO RATIONALITY IN POSTNONCLASSICAL EPISTEMOLOGY by O. V. Molokova

“…The important point is studying of how the scientific knowledge influences life of people, changes and structures life of the person. As the knowledge does not correspond any more with the objective world by a reflexion principle, loses sense and a question on its conformity of a reality that removes stubborn problems of true, reliability, objectivity. …”
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Sustainability practices, sustainable development goals and the hospitality sector: perspectives from Sri Lankan chain hotels by Janith Iddawala, Binuri Mehara Welengoda, Banudee Thisali Rathnayaka

“…This study employs a qualitative research method, combining semi-structured interviews and participant observations from 11 chain hotels selected through a purposive sampling approach. …”
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Automated quantification reveals hyperglycemia inhibits endothelial angiogenic function. by Anthony R Prisco, John D Bukowy, Brian R Hoffmann, Jamie R Karcher, Eric C Exner, Andrew S Greene

“…In spite of the widespread use of Matrigel TFAs, quantification is labor-intensive and subjective, often limiting experiential design and interpretation of results. This study describes the development and validation of an open source software tool for high throughput, morphometric analysis of TFA images and the validation of an in vitro hyperglycemic model of DM.…”
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Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition by Konstantinos Vantas, Vasiliki Mirkopoulou

“…The analysis revealed distinctly different error structures: a systematic rotational pattern surrounding a central random-error zone in the first, versus localized gross errors alongside regions of different discrepancies in the second. …”
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Spreading the load: mobile information and communications technologies and their effect on information overload by D.K. Allan, M. Shoard

“…<br><b>Analysis.</b> A semi-structured interview schedule was developed and applied in face-to-face interviews with the Senior Management Team and their secretaries. …”
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Predicting survival after liver transplantation based on pre-transplant MELD score: a systematic review of the literature. by Kristin B Klein, Taenia D Stafinski, Devidas Menon

“…The model for end-stage liver disease (MELD) score is used to stratify candidates for liver transplantation based on objective measures of disease severity. …”
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How schoolchildren wrote articles: reflection on the application of the participation methodology by M.R. Husnutdinova, A.G. Filipova

“…</strong> A monographic case-study approach was employed, utilizing qualitative methods: textual analysis (children&rsquo;s academic outputs, chat logs), semi-structured interviews (with participants and teacher), focus groups, observation.…”
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A lifeline or a label? lived experience perspectives on the severe and enduring eating disorder (SEED) classification in eating disorder treatment by Gabriel Lubieniecki, Isabella McGrath, Gemma Sharp

“…Results Three key themes emerged: [1] SEED as a paradoxical classification, with participants describing the term as both validating and restrictive; [2] SEED as a justification for treatment withdrawal, with clinicians and services interpreting the classification as an indicator of treatment futility, contributing to reduced care opportunities and systemic exclusion; and [3] redefining SEED through recovery-oriented frameworks, with participants advocating for alternative terminology, such as “longstanding eating disorder,” and treatment models prioritising harm reduction, step-down care, and sustained engagement. …”
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From data extraction to analysis: a comparative study of ELISE capabilities in scientific literature by Maxime Gobin, Muriel Gosnat, Seindé Toure, Lina Faik, Joel Belafa, Antoine Villedieu de Torcy, Florence Armstrong

“…Human experts established reference benchmarks, while AI Evaluator models ensure objective performance measurement. The study introduces the ECACT score, a structured metric assessing AI reliability in scientific literature analysis, regulatory reporting and clinical documentation. …”
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Importance of evaluating GPS telemetry collar performance in monitoring reintroduced populations by James A. Vance, David S. Jachowski, Allen C. Boynton, Marcella J. Kelly

“…Errors caused by local habitat conditions in patchy and structurally complex landscapes should be accounted for in future models and management decisions. © 2017 The Wildlife Society.…”
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Multicultural migrant firms: Evidence from Italy by Alessandro Arrighetti, Andrea Lasagni, Renata Semenza

“…We based our research methodology on 36 semi-structured in-depth face-to-face interviews with MMFs-owners or partners operating in Italy. …”
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