A scoping review of frameworks evaluating digital health applications by Orla Deegan, Eoghan O Riain, Denis Martin, Mai Yoshitani, Mairead O’Donoghue, Keith Smart, Sinead McMahon, Trish O’Sullivan, Declan J O’Sullivan, Aaron Cole, Ciara Hanrahan, Catherine Blake, Joseph G. McVeigh, Brona M Fullen, David Murphy

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DEIFDC framework: Evaluation of Digital Education deployment in Peru in the midst of the Covid-19 pandemic by Ana Victoria Delgado-Martín, José Marí Larrú-Ramos

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Surgical data strengthening in Ethiopia: results of a Kirkpatrick framework evaluation of a data quality intervention by Sehrish Bari, Joseph Incorvia, Katherine R. Iverson, Abebe Bekele, Kaya Garringer, Olivia Ahearn, Laura Drown, Amanu Aragaw Emiru, Daniel Burssa, Samson Workineh, Ephrem Daniel Sheferaw, John G. Meara, Andualem Beyene

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The Micropaleoecology Framework: Evaluating Biotic Responses to Global Change Through Paleoproxy, Microfossil, and Ecological Data Integration by Adam Woodhouse, Anshuman Swain, Jansen A. Smith, Elizabeth C. Sibert, Adriane R. Lam, Jennifer A. Dunne, Alexandra Auderset

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Are farmers’ minds really too elusive to capture? A novel evaluation framework for the knowledge transfer initiatives in agriculture by Ana Novak, Tanja Šumrada, Luka Juvančič

“…To ensure the uptake of the proposed evaluation framework, evaluation culture within the managing authorities and among stakeholders should be systematically fostered at the Member State level. …”
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Towards a Smart and Transparent Road-Based Vehicle Speed Detection System in Tanzanian Highways: A Review of Methods, Technologies, and Systems by Kevin T. Njuu, Angela-Aida K. Runyoro, Mussa A. Dida

“…A proof-of-concept demonstrator was implemented to validate the proposed conceptual framework. Evaluation results demonstrate an auspicious performance regarding end-to-end data delivery and transmission latency. …”
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Developing interactive VR-based digital therapeutics for Acceptance and Commitment Therapy (ACT): a structured framework for the digital transformation integrating gamification and... by Hyungsook Kim, Hyungsook Kim, Yoonyoung Choi

“…To support the digital transformation of ACT, three core components were established: (1) an evidence-based therapeutic protocol, (2) interactive VR elements—including gamification and multimodal arts-based guidance, and (3) a data-driven evaluation framework. Evaluation metrics, derived from a pilot study, were integrated into the system, which collects clinical and interaction data—such as real-time behavioral patterns and sensor-based information—to enable comprehensive evaluation.DiscussionBased on this development process, we propose a practical framework for designing interactive VR-based DTx. …”
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Validating and updating GRASP: An evidence-based framework for grading and assessment of clinical predictive tools by Mohamed Khalifa, Farah Magrabi, Blanca Gallego

“…Results: The survey yielded strong agreement of the experts with the framework's evaluation criteria, overall average score: 4.35/5, highlighting the importance of predictive performance, usability, potential effect, and post-implementation impact in grading clinical predictive tools. …”
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Open Source Evaluatology: An evaluation framework and methodology for open source ecosystems based on evaluatology by Fanyu Han, Shengyu Zhao, Wei Wang, Aoying Zhou, Weining Qian, Xuan Zhou, Jiaheng Peng, Lan You, Yang Chen, Xiaoya Xia, Yenan Tang, Liyun Yang, Chunqi Tian

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Enhancing referrals to Child and Adolescent Mental Health Services: the EN-CAMHS mixed-methods study by Kathryn M Abel, Pauline Whelan, Lesley-Anne Carter, Heidi Tranter, Charlotte Stockton-Powdrell, Kerry Gutridge, Lamiece Hassan, Rachel Elvins, Julian Edbrooke-Childs

“…Because we specifically wanted to explore the role of digital solutions within other possible solutions, we used category areas of the Non-adoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies framework evaluation to guide discussions with stakeholders. …”
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Optimal Combination of Traditional and Innovative Means of Protecting Notarial Information by Odilhujaev Ilyosbek

“…This paper analyzes the strengths and weaknesses of established methods like paper documents and seals alongside emerging solutions like encryption and blockchain for safeguarding data. A comparative framework evaluates approaches across dimensions of cost, usability, resilience and compliance. …”
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Developing Effective Frameworks for Large Language Model–Based Medical Chatbots: Insights From Radiotherapy Education With ChatGPT by James C L Chow, Kay Li

“…By analyzing existing research, the framework evaluates chatbot performance and identifies challenges such as content accuracy, bias, and system integration. …”
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[Retracted] Construction and Empirical Study of Learner Portrait in Online General Education Course by Zongbiao Zhang

“…Then, taking the learners of the online general education course of Zhejiang Shuren College as an example, we make a case analysis based on the portrait framework, evaluate the learning effect from different stages, and put forward targeted teaching strategies and measures. …”
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Integrating path planning and task scheduling in autonomous drone operations by Ahmed KAMIL, Basim MAHMOOD

“…The hybrid path planning algorithm is proposed for this work. The framework evaluates each combination's performance based on key metrics, including elapsed time and energy consumption. …”
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Country risks analysis for the development of green hydrogen and synthetic fuel sectors in the MENA region by Julia Terrapon-Pfaff, Sibel Raquel Ersoy, Magdolna Prantner, Peter Viebahn

“…A comprehensive framework evaluating macro and micro risks was applied, along with two contrasting risk scenarios to explore future developments under different risk conditions. …”
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A Mathematical Survey of Image Deep Edge Detection Algorithms: From Convolution to Attention by Gang Hu

“…Attention mechanisms, as in EdgeNAT (ODS 0.860) and RankED (ODS 0.824), enhance global context, while generative models like GED (ODS 0.870) achieve state-of-the-art precision via diffusion and GAN frameworks. Evaluated on BSDS500 and NYUDv2, these methods highlight a trajectory toward accuracy and robustness, yet challenges in efficiency, generalization, and multi-modal integration persist. …”
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Predicting Flight Delays with Machine Learning: A Case Study from Saudi Arabian Airlines by Meshal Alfarhood, Rakan Alotaibi, Bassam Abdulrahim, Ahmad Einieh, Mohammed Almousa, Abdulrhman Alkhanifer

“…Moreover, to simulate real-world scenarios, our framework evaluates the best-performing model that has been selected for deployment in a web application, which provides users with the ability to accurately forecast flight delays and offers a user-friendly dashboard with valuable insights and analysis capabilities.…”
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Integrated optimization of energy storage and green hydrogen systems for resilient and sustainable future power grids by Ahmed M. Asim, Ahmed S. A. Awad, Mahmoud A. Attia

“…Abstract This study presents a novel multi-objective optimization framework supporting nations sustainability 2030–2040 visions by enhancing renewable energy integration, green hydrogen production, and emission reduction. The framework evaluates a range of energy storage technologies, including battery, pumped hydro, compressed air energy storage, and hybrid configurations, under realistic system constraints using the IEEE 9-bus test system. …”
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Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer by J.-S. Chou, H.-M. Nguyen, H.-P. Phan, K.-L. Wang

“…This research contributes to developing predictive early warning systems for deep-seated landslide displacement by employing advanced computational models for environmental risk management. The novel framework evaluates machine learning, time series deep learning, and convolutional neural networks (CNNs), identifying the most effective models to be enhanced by the Age of Exploration-Inspired Optimizer (AEIO) algorithm. …”
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Heavy Equipment Detection on Construction Sites Using You Only Look Once (YOLO-Version 10) with Transformer Architectures by Ikchul Eum, Jaejun Kim, Seunghyeon Wang, Juhyung Kim

“…In response, this study proposes an enhanced object detection method that integrates transformer-based backbone networks into the You Only Look Once (YOLO-version 10) framework. Evaluations conducted on a large-scale dataset of construction-site images demonstrate notable improvements in detecting the heavy equipment of varying sizes. …”
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