Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems by Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur

“…With the advent of machine learning, the use of data-driven population-level distributions (encoded, e.g., in a trained deep neural network) as priors is emerging as an appealing alternative to simple parametric priors in a variety of inverse problems. …”
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Model Evaluasi Usability Menggunakan Confirmatory Factor Analysis pada KRS Online by Endah Ratna Arumi, Pristi Sukmasetya, Agus Setiawan

“…Usability evaluation is the focus of the assessment by users of the system to find out how easy to learn and use the system. This research aims to find valid models from several usability models that are analyzed using Confirmatory Factor Analysis (CFA). …”
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PENGEMBANGAN KIT PRAKTIKUM ELEKTRONIKA DASAR II BERBASIS SIMULATOR PROTEUS UNTUK MENINGKATKAN KEMAMPUAN MAHASISWA DALAM PEMECAHAN MASALAH by Suwardi Suwardi, Erik Ayatullah, Haidul Haidul

“…The feasibility of the practicum kit as a learning media in a laboratory based on expert validation is 82.50% (very feasible) and based on the user is 82, 64% (very feasible).   …”
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Cross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI) by Gerald McGwin, Linda M Zangwill, Nicholas Evans, Shannon McWeeney, Cecilia S Lee, Bhavesh Patel, Jeffrey C Edberg, Cynthia Owsley, Aaron Lee, Cecilia Lee, Sally L Baxter, Michael Snyder, Samantha Hurst, Nicole Ehrhardt, Christopher Chute, Dawn S Matthies, Julia P Owen, Amir Bahmani, Sally Baxter, Edward Boyko, Aaron Cohen, Jorge Contreras, Garrison Cottrell, Virginia de Sa, Jeffrey Edberg, Irl Hirsch, Michelle Hribar, T.Y. Alvin Liu, Bonnie Maldenado, Sara Singer, Bradley Voytek, Joseph Yracheta, Linda Zangwill

“…Introduction Artificial Intelligence Ready and Equitable for Diabetes Insights (AI-READI) is a data collection project on type 2 diabetes mellitus (T2DM) to facilitate the widespread use of artificial intelligence and machine learning (AI/ML) approaches to study salutogenesis (transitioning from T2DM to health resilience). …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…It was also recommended that KDLG reassess its approach to employee development through benchmarking and hiring professional trainers to ensure equitable access to training opportunities, establishing regular and comprehensive training programs, and fostering a culture that prioritizes continuous learning and professional growth. Failure to address these deficiencies will continue to impede efforts to retain talent and hinder the district’s effectiveness. …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…It was also recommended that KDLG reassess its approach to employee development through benchmarking and hiring professional trainers to ensure equitable access to training opportunities, establishing regular and comprehensive training programs, and fostering a culture that prioritizes continuous learning and professional growth. Failure to address these deficiencies will continue to impede efforts to retain talent and hinder the district’s effectiveness. …”
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Personalized prediction of glycemic responses to food in women with diet-treated gestational diabetes: the role of the gut microbiota by Polina V. Popova, Artem O. Isakov, Anastasiia N. Rusanova, Stanislav I. Sitkin, Anna D. Anopova, Elena A. Vasukova, Alexandra S. Tkachuk, Irina S. Nemikina, Elizaveta A. Stepanova, Angelina I. Eriskovskaya, Ekaterina A. Stepanova, Evgenii A. Pustozerov, Maria A. Kokina, Elena Y. Vasilieva, Lyudmila B. Vasilyeva, Soha Zgairy, Elad Rubin, Carmel Even, Sondra Turjeman, Tatiana M. Pervunina, Elena N. Grineva, Omry Koren, Evgeny V. Shlyakhto

“…The study involved 105 pregnant women (77 with GDM, 28 healthy), who underwent continuous glucose monitoring (CGM) for 7 days, provided food diaries, and gave stool samples for microbiome analysis. Machine learning models were created using CGM data, meal content, lifestyle factors, biochemical parameters, and microbiota data (16S rRNA gene sequence analysis). …”
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Implementation of prehospital point-of-care ultrasound using a novel continuous feedback approach in a UK helicopter emergency medical service by Salman Naeem, Shadman Aziz, Thomas Hirst, Johannes Strobel, Jamin M. Mulvey, Ailidh Lang, Jankee Patel, Alexander Smith, Ka Jun Cheng, Michael Palmer, Jonas Schlautmann, Michael D. Christian, Daniel Nevin

“…They were graded in adequacy, agreement between reviewer and clinician was recorded and fed back to the clinicians allowing continuous feedback learning. In-hospital diagnosis was sought for patients having the full Pump, Pleura and Pouring blood (PPPB) protocol. …”
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Characteristics and outcomes of women using emergency medical services for third-trimester pregnancy-related problems in India: a prospective observational study by Jennifer A Newberry, Corey B Bills, Elizabeth A Pirrotta, Matthew C Strehlow, G V Ramana Rao, Hyeyoun (Elise) Min, Ann E Evensen, Lawrence Leeman, S V Mahadevan

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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…Traditional retention time approaches heavily rely on the use of standard compounds, which is limited by the speed of synthesis and manufacture of standard products, and is time-consuming and labor-intensive. Recently, machine learning and artificial intelligence algorithms have been applied to retention time prediction, which show unparalleled advantages over traditional experimental methods. …”
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Роль искусственного интеллекта в прогнозировании трудных дыхательных путей у взрослых: обзор литературы... by Андрей Юрьевич Зайцев, А. Б. Сорокин, Ю. А. Зайцев, К. В. Дубровин, Э. Г. Усикян

“…Поисковыми словами для англоязычных баз данных были artificial intelligence, deep learning, difficult airways; для русскоязычных — искусственный интеллект, глубокое машинное обучение, трудные дыхательные пути. …”
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A PEDAGOGIA DA ALTERNÂNCIA COMO PROPOSTA DE EDUCAÇÃO NO CAMPO: UM ESTUDO NA ESCOLA FAMÍLIA AGRÍCOLA ITAPIREMA EM RONDÔNIA, BRASIL by Claudineia Ferreira dos Santos, Charles Carminati de Lima, Yanet Reimondo Barrios, Daniete Fernandes Rocha

“…It was found that the teaching and learning relationship among teachers and students of the EFA is based on four pillars: Integral Education, Alternation Pedagogy, Social Inclusion and Associativism. …”
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Call to Action: Lead Pharmacy into the Next Decade by Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks, Gregory Zumach

“…Currents in Pharmacy Teaching and Learning, 2021;13(10): 1259-1260. • Kouzes, JM, & Posner, BZ. …”
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POS Tagging Bahasa Madura dengan Menggunakan Algoritma Brill Tagger by Nindian Puspa Dewi, Ubaidi Ubaidi

“…One reason is sense of pride and also quite difficult to learn Bahasa Madura because it has a variety of dialects and language levels. …”
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Evidence adaptation and tailored implementation of family bereavement support in specialised palliative care: A multi-method study by Myrta Kohler, Qëndresa Thaqi, Silke Kuske, Torsten Schwalbach, Marco Riguzzi, Rahel Naef

“…A multifaceted implementation strategy with 16 distinct activities was developed to reach 70 % of bereaved families: designing a practical, implementable pathway, creating necessary team capacity and roles, optimizing workflow, offering education and clinician support, ensuring leadership and organisational commitment, and facilitating mutual exchange and learning. An implementation research logic model specified expected mechanisms of impact and outcomes. …”
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Pengembangan Tes Bentuk Soal Pilihan Ganda dan Uraian Berbasis Higher Order Thinking Skills (HOTS) pada Ranah Kognitif Mata Pelajaran Pemrograman Dasar (Studi pada SMK Negeri 12 Ma... by Meilita Dwi Aryati, Satrio Hadi Wijoyo, Admaja Dwi Herlambang

“…Abstract The result of student learning can be known by the test. From the international survey in 2018 (PISA), Indonesia has lowest score in the world, because the questions used still not measured Higher Order Thinking Skills (HOTS). …”
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Call to Action: Lead Pharmacy into the Next Decade by Gregory Zumach, Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks, Anthony Olson, Andrew Bartlett, Nilushi Karunaratne, Betty Exintaris

“…Currents in Pharmacy Teaching and Learning, 2021;13(10): 1259-1260. • Kouzes, JM, & Posner, BZ. …”
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Quo vadis autoimmune hepatitis? - Summary of the 5th international autoimmune hepatitis group research workshop 2024Keypoints by Bastian Engel, David N. Assis, Mamatha Bhat, Jan Clusmann, Joost PH. Drenth, Alessio Gerussi, María-Carlota Londoño, Ye Htun Oo, Ida Schregel, Marcial Sebode, Richard Taubert

“…The specific objectives of this year's 5th Workshop were: (1) To further improve diagnostics. (2) Initiate clinical trials including knowledge transfer on drugs from extrahepatic immune-mediated diseases, including B cell-depleting CAR T cells. (3) Utilisation of multi-omics approaches to improve the understanding of disease pathogenesis. (4) Application of machine learning-based approaches established in oncology or transplantation medicine to improve diagnosis and outcome prediction in AIH.…”
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AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation by Zhi-Xin Huang, Andrea M. Alexandre, Alessandro Pedicelli, Xuying He, Quanlong Hong, Yongkun Li, Ping Chen, Qiankun Cai, Aldobrando Broccolini, Luca Scarcia, Serena Abruzzese, Carlo Cirelli, Mauro Bergui, Andrea Romi, Erwah Kalsoum, Giulia Frauenfelder, Grzegorz Meder, Simona Scalise, Maria Porzia Ganimede, Luigi Bellini, Bruno Del Sette, Francesco Arba, Susanna Sammali, Andrea Salcuni, Sergio Lucio Vinci, Giacomo Cester, Luisa Roveri, Xianjun Huang, Wen Sun

“…While 45.1% achieved favorable outcomes at 90 days, our advanced machine learning approach unveiled subtle interaction effects among clinical variables not captured by traditional statistical methods. …”
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QUIET WARRIOR – Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR) by Osama Dasa, Eileen Handberg, Damini Dey, Pinaki Sarder, Margaret C. Lo, Balaji K. Tamarappoo, Steven M. Smith, Leslee J. Shaw, C. Noel Bairey Merz, Carl J. Pepine

“…Advanced imaging techniques and machine-learning models will be employed to quantify plaque features and predict clinical outcomes. …”
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