Kabale University Public-Private Partnership (PPP) Policy by Kabale University

“…WHEREAS Kabale University is a Public University established under the Universities and Other Tertiary Institutions Act, 2001 (as amended) by Statutory Instrument No. 36 of July, 2015, with the main aim of becoming an efficient and effective University that excels in teaching, learning, research, innovation and community engagement and to become a sustainable vibrant University of academic excellence in the Great Lakes Region and beyond; AND WHEREAS the Government of Uganda enacted the Public Private Partnership Act, 2015 which establishes Public-Private Partnership (PPP) as a model and a framework of providing efficient services and excellent quality public goods, WHEREAS the Kabale University Council through this framework recognizes the increasing involvement and importance of private sector in provision of excellent quality public goods and services in a resource constrained environment as an alternative funding model for acquiring and administering infrastructural projects and other related services on behalf of the University in the medium to long-term; AND WHEREAS, this policy targets to acquire and provide excellent quality public goods and services to the University at competitive costs and utilize private sector expertise and finance, and deliverables at reduced risks that are inherent in delivery of public infrastructures and services. …”
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PHARAOH: A collaborative crowdsourcing platform for phenotyping and regional analysis of histology by Kevin Faust, Min Li Chen, Parsa Babaei Zadeh, Dimitrios G. Oreopoulos, Alberto J. Leon, Ameesha Paliwal, Evelyn Rose Kamski-Hennekam, Marly Mikhail, Xianpi Duan, Xianzhao Duan, Mugeng Liu, Narges Ahangari, Raul Cotau, Vincent Francis Castillo, Nikfar Nikzad, Richard J. Sugden, Patrick Murphy, Safiyh S. Aljohani, Philippe Echelard, Susan J. Done, Kiran Jakate, Zaid Saeed Kamil, Yazeed Alwelaie, Mohammed J. Alyousef, Noor Said Alsafwani, Assem Saleh Alrumeh, Rola M. Saleeb, Maxime Richer, Lidiane Vieira Marins, George M. Yousef, Phedias Diamandis

“…Abstract Deep learning has proven capable of automating key aspects of histopathologic analysis. …”
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Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…Untuk mengatasi masalah tersebut, klasifikasi intensi dan NER dapat digabungkan dengan menggunakan mekanisme multi-task learning dalam bentuk model Dual Intent and Entity Transformer (DIET). …”
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Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review by Claire R. van Genugten, Claire R. van Genugten, Melissa S. Y. Thong, Melissa S. Y. Thong, Melissa S. Y. Thong, Wouter van Ballegooijen, Wouter van Ballegooijen, Wouter van Ballegooijen, Annet M. Kleiboer, Annet M. Kleiboer, Donna Spruijt-Metz, Arnout C. Smit, Mirjam A. G. Sprangers, Mirjam A. G. Sprangers, Yannik Terhorst, Yannik Terhorst, Heleen Riper, Heleen Riper, Heleen Riper

“…To accomplish this, JITAIs often apply complex analytic techniques, such as machine learning or Bayesian algorithms to real- or near-time data acquired from smartphones and other sensors. …”
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RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease by Manuel Lentzen, Srinivasan Vairavan, Marijn Muurling, Vasilis Alepopoulos, Alankar Atreya, Merce Boada, Casper de Boer, Pauline Conde, Jelena Curcic, Giovanni Frisoni, Samantha Galluzzi, Martha Therese Gjestsen, Mara Gkioka, Margarita Grammatikopoulou, Lucrezia Hausner, Chris Hinds, Ioulietta Lazarou, Alexandre de Mendonça, Spiros Nikolopoulos, Dorota Religa, Gaetano Scebba, Pieter Jelle Visser, Gayle Wittenberg, Vaibhav A. Narayan, Neva Coello, Anna-Katharine Brem, Dag Aarsland, Holger Fröhlich, on behalf of RADAR-AD

“…Additionally, we employed four machine learning classifiers – Logistic Regression, Decision Tree, Random Forest, and XGBoost – using a nested cross-validation approach to assess the discriminatory capabilities of the RMTs. …”
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Process evaluation of Project Daire: a food environment intervention that impacted food knowledge, wellbeing and dietary habits of primary school children by Naomi Anderson, Sarah F. Brennan, Fiona Lavelle, Sarah E. Moore, Dilara Olgacher, Amy Junkin, Moira Dean, Michelle C. McKinley, Patrick McCole, Ruth F. Hunter, Laura Dunne, Niamh E. O’Connell, Chris T. Elliott, Danielle McCarthy, Jayne V. Woodside

“…DAIRE produced change through four key MOI: social learning, experimental learning, interactive engaging content and real-life connections. …”
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Optimasi Algoritma Naive Bayes dengan Diskritisasi K-Means pada Diagnosis Penyakit Jantung by Nafa Fajriati, Budi Prasetiyo

“…Dataset yang digunakan yaitu Cleveland heart disease dataset dari UCI Machine Learning Repository. Untuk meningkatkan akurasi klasifikasi menggunakan algoritma Naive Bayes, atribut kontinu pada dataset diubah menjadi atribut diskrit dengan diskritisasi K-means. …”
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IL-23 tunes inflammatory functions of human mucosal-associated invariant T cells by Laetitia Camard, Tharshana Stephen, Hanane Yahia-Cherbal, Vincent Guillemot, Sébastien Mella, Victoire Baillet, Hélène Lopez-Maestre, Daniele Capocefalo, Laura Cantini, Claire Leloup, Julie Marsande, Katherine Garro, Juan Sienes Bailo, Ambre Dangien, Natalia Pietrosemoli, Milena Hasan, Huimeng Wang, Sidonia B.G. Eckle, Anne M. Fourie, Carrie Greving, Barbara Joyce-Shaikh, Raphaelle Parker, Daniel J. Cua, Elisabetta Bianchi, Lars Rogge

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Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics by Stefan Schoder

“…The hyperparameter study and optimization are conducted regarding the network depth and width, the learning rate, the used activation functions, and the deep learning backends (PyTorch 2.5.1, TensorFlow 2.18.0 1, TensorFlow 2.18.0 2, JAX 0.4.39). …”
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Prediction and Treatment of Difficult Cases in Colorectal Endoscopic Submucosal Dissection by Yutaka Inada, Naohisa Yoshida, Munehiro Kugai, Kazuhiro Kamada, Kazuhiro Katada, Kazuhiko Uchiyama, Osamu Handa, Tomohisa Takagi, Hideyuki Konishi, Nobuaki Yagi, Yuji Naito, Naoki Wakabayashi, Akio Yanagisawa, Yoshito Itoh

“…The aim of this study was to examine the characteristics of difficult cases and the learning curve in colorectal endoscopic submucosal dissection (ESD). …”
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Effectiveness of Massive Open Online Course on Risk Communication Knowledge in Global Health Emergencies Among Nurses by Khin Thandar Aung, Rafiza Abdul Razak, Muhammad Fadli Zulkafley

“…These nurses engaged in a four-week MOOC hosted on i-Taleem (the university's eLearning platform), focusing on knowledge about risk communication. …”
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About relevance of fundamentalisation of mathematical training of students of the pedagogical directions during the digital era by E. A. Perminov, D. D. Gadjiev, M. M. Abdurazakov

“…One of the negative consequences of this situation is replacement of meaningful learning of mathematics with “coaching” of school students and university students for formal test performance. …”
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Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico by O. Zavala-Romero, O. Zavala-Romero, A. Bozec, E. P. Chassignet, J. R. Miranda, J. R. Miranda

“…<p>Deep learning models have demonstrated remarkable success in fields such as language processing and computer vision, routinely employed for tasks like language translation, image classification, and anomaly detection. …”
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Providing a paradigmatic model of return on investment in the training of employees in the petrochemical industry by Mehdi Farahani, Seyyed Ali Akbar Ahmadi, Mohammad Tamimi

“…This important model includes four levels or aspects of training; the first level is comprehensive and measures the feelings of the participants in relation to the attractiveness, usefulness and relevance of training to their needs; the second level is learning and the effect of training in terms of progress in Skills, knowledge and attitudes, and in other words the realization of learning goals are measured; At the third level, the actual effect of training, i.e. behavioral changes after learning, is measured; and finally, at the fourth level, the final results of training are analyzed. …”
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Designing and explaining the improvement model of women's employability capacity with emphasis on the 7th development plan by Mahsa Vahidpour, Akbar Etebarian Khorasgani, Mehrban Hadi Peykani, Saeed Daei-Karimzadeh

“…Lee argues that despite the existing notions, employability is not defined in terms of skills, rather learning plays an important role in this process and creates constructive experiences, so employability is defined as a learning process. …”
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Representation of the perception of effective factors on the implementation of Eric Cheng's knowledge management model in secondary schools of West Azarbaijan province by parivash mohammadi gheshlagh

“…In a general comparison with the results of previous researches, the results of the present research in the dimension of knowledge leadership have an innovative aspect in terms of identifying the main themes of "information networking and learning support" and the sub-themes of each of them. …”
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