Reculer pour mieux sauter. Les projets en échec comme catalyseurs du développement urbain by Sébastien Lambelet

“…However, from the very beginning of the 2000s, fairly similar projects materialize by learning from previous failures. We analyse this tipping point and show that failed projects can also considerably accelerate the transformation of central urban areas.…”
Get full text

Adaptive Graph Cut Based Cloud Detection in Wireless Sensor Networks by Shuang Liu, Zhong Zhang

“…In addition, a novel transfer learning algorithm is proposed to transfer knowledge among sensor nodes, such that cloud images captured from different sensor nodes can adapt to different weather conditions. …”
Get full text

Using the Kirton Adaption-Innovation Inventory to Strengthen Extension Programs by Alexa J. Lamm, Ricky W. Telg

“… A person’s personality affects the way he or she learns best. Extension programs can use an understanding of different learning styles and preferences to reach the greatest number of people. …”
Get full text

Combined Diagnosis of PD Based on the Multidimensional Parameters by Mohammad Heidari

“…Diagnose signals are found with the method based on information fusion and semisupervised learning for HFC PD, adaptive mutation parameters of particle entropy for ultrasonic signals, and IIA-ART2A neural network for UHF signals. …”
Get full text

The early warning paradox by Hugh Logan Ellis, Edward Palmer, James T. Teo, Martin Whyte, Kenneth Rockwood, Zina Ibrahim

“…Machine learning models in healthcare aim to predict critical outcomes but often overlook existing Early Warning Systems’ impact. …”
Get full text

Household Drinking Water Testing for Public and Private Water Supplies by Yilin Zhuang, Andrea Albertin, Arthur G. Hornsby

“…This EDIS publication is for Florida homeowners who are interested in learning more about home water testing. It also serves as a guideline for well owners to understand household drinking water testing and what tests would be appropriate for the situation. …”
Get full text

Improved KNN Algorithm Based on Preprocessing of Center in Smart Cities by Haiyan Wang, Peidi Xu, Jinghua Zhao

“…The KNN algorithm is one of the most famous algorithms in machine learning and data mining. It does not preprocess the data before classification, which leads to longer time and more errors. …”
Get full text

Baheshi Documentary Rukiga Version by Kabale University Library

“…In this documentary, Kabale University Library together with the Multimedia officer from E-learning Unit visited the Abaheesi deep in the hills and talked to one of them at his workshop and the conversation and the video are presented in the repository…”
Get full text

Critical Analysis of the Production of Western Knowledge and Its Implications for Indigenous Knowledge and Decolonization by Francis Akena, Adyanga

“…The Western education system is a hybrid of different knowledge, adopted through European global expansion, to enrich our learning in formal educational settings. This article examines the production of Western knowledge and its validation, imposition, and effects on indigenous people and their knowledge. …”
Get full text

Effect of Christian Religious Education Teachers' Competences on Students Engagement in Secondary Schools in Kabale Municipality. by Kwarikunda, Apophia

“…Teachers' competence is the sensible combination of content knowledge of subject matter, and verbal and communication ability to transfer proven methodologies in classroom teaching with a view of improving students' engagement in school learning activities. The purpose of the study was to assess the effect of Christian Religious Education teachers' competences on student engagement in secondary schools in Kabale Municipality.…”
Get full text

Documenting Student Representation of Indigenous HIV/AIDS Information and Integration Into the School Curriculum by Denis, Sekiwu, Olivia Nina, Rugambwa

Get full text

The Simcup Morocco: Exploration of the concept, innovative pedagogical relevance, and perspectives by Mohamed El Mouhajir, Yahaya Maijimaa Tourey, Majdouline Obtel, Mohammed Mouhaoui

“…These results argue in favor of the relevance of Simcup and underline the superiority of simulation-based learning over traditional clinical teaching, both as a teaching method and for the evaluation of learning outcomes. …”
Get full text

Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reserva... by Job Kuteesa, Faith Oguttu, Ian Guyton Munabi, Aloysius Gonzaga Mubuuke, Sarah Kiguli, Ritah Nantale, David Mukunya, Elizabeth Ajalo, Frank Kayemba, Jonathan Babuya, Kennedy Pangholi, Amelia Margaret Namiiro, Suzan Langoya Akuu, Steven Ekak, Ronald Tweheyo, Kirsten Nantongo, Brenda Nakitto, Milton W. Musaba, Joseph Luwaga Mpagi

“…Background ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant. …”
Get full text

Development, implementation, and evaluation of an innovative clinical trial operations training program for Africa (ClinOps) by Dawit Asmamaw Ejigu, Abebaw Fekadu, Jeremy Whitty, Tsegahun Manyazewal, Pamela Nebeta, Almari Conradie, Brenda Okech, Alice Neequaye, Sinéad Whitty, Jennifer Lehrman, Renee Holt, Rahel Birhane, Mahnaz Vahedi, Helen Demarest, Eyasu Makonnen

“…Moodle, an open-source learning management system, offered a platform for sharing learning tools, mentorship, and rubric-driven competency assessments, including quizzes, forums, tutorials, and group assignments. …”
Get full text

A workplace organisational intervention to improve hospital nurses’ and physicians’ mental health: study protocol for the Magnet4Europe wait list cluster randomised controlled tria... by Peter Griffiths, Jonathan Drennan, Jackie Bridges, Luk Bruyneel, Jane Ball, Linda H Aiken, Douglas M Sloane, Anners Lerdal, Matthew McHugh, Herbert Smith, Anne Marie Rafferty, Reinhard Busse, Walter Sermeus, Julia Köppen, Lars E Eriksson, Kaat Siebens, Matthew D McHugh, Anne Scott, Ingeborg Strømseng Sjetne, Sydney Anstee, Peter Van Bogaert, Rikard Lindqvist, Linda Aiken, Douglas Sloane, Hans De Witte, Wilmar B Schaufeli, Hans De Witte, Simon Dello, Dorothea Kohnen, Claudia Bettina Maier, Lisa Smeds Alenius, Mary Del Guidice, Timothy Cheney, Claudia Maier, Joan Kleine, Elaine Lehane Vera McCarthy, Noeleen Brady, Monica Bukkøy Kjetland, Paul Van Aken, Danny Van Heusden

Get full text

Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by M. N. Afzal Khan, Nada Zahour, Usman Tariq, Ghinwa Masri, Ismat F. Almadani, Hasan Al-Nashah

“…Accurately identifying and discriminating between different brain states is a major emphasis of functional brain imaging research. Various machine learning techniques play an important role in this regard. …”
Get full text

Advanced analysis of soil pollution in southwestern Ghana using Variational Autoencoders (VAE) and positive matrix factorization (PMF) by Raymond Webrah Kazapoe, Daniel Kwayisi, Seidu Alidu, Samuel Dzidefo Sagoe, Aliyu Ohiani Umaru, Ebenezer Ebo Yahans Amuah, Millicent Obeng Addai, Obed Fiifi Fynn

“…Integrating chemometric and machine learning techniques provides a dynamic system that can monitor pollution shifts early, to aid remediation efforts in highly affected areas.…”
Get full text

Accelerating phase field simulations through a hybrid adaptive Fourier neural operator with U-net backbone by Christophe Bonneville, Nathan Bieberdorf, Arun Hegde, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta

“…In this paper, we propose a U-shaped adaptive Fourier neural operator (U-AFNO), a machine learning (ML) based model inspired by recent advances in neural operator learning. …”
Get full text

White Matter Biomarkers Associated with Motor Change in Individuals with Stroke: A Continuous Theta Burst Stimulation Study by K. P. Wadden, S. Peters, M. R. Borich, J. L. Neva, K. S. Hayward, C. S. Mang, N. J. Snow, K. E. Brown, T. S. Woodward, S. K. Meehan, L. A. Boyd

“…Baseline diffusion tensor imaging (DTI) indexed the underlying white matter microstructure of a previously known motor learning network, named the constrained motor connectome (CMC), as well as the corticospinal tract (CST) of lesioned and nonlesioned hemispheres. …”
Get full text

Evaluación bibliométrica de la investigación sobre Tecnologías Habilitadoras para la Transformación Digital en Cuba by Yudayly Stable-Rodríguez, Lee Yang Díaz-Chieng, Alfredo Javier Pérez Gamboa, Esteban Rodríguez-Torres

“…Hubo mayoría de las temáticas artificial inteligente, machine learning, learning systems, human computer interaction y data minning relacionados con la salud. …”
Get full text