Varying universal health coverage policy implementation states: exploring the process and lessons learned from a national health insurance pilot site by Janet Michel, Nthabiseng Mohlakoana, Till Bärnighausen, Fabrizio Tediosi, Di McIntyre, Hans T A Bressers, Marcel Tanner, David Evans

“…To adopt or adapt policy in a UHC context: there seems to be a series of steps actors take.…”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…Abstract This study aims to develop an efficient model to predict the arrears behavior of electricity users by integrating multi-scale feature learning with a backpropagation (BP) neural network. …”
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A Call for Action: Lessons Learned From a Pilot to Share a Complex, Linked COVID-19 Cohort Dataset for Open Science by Clara Amid, Martine Y van Roode, Gabriele Rinck, Janko van Beek, Rory D de Vries, Gijsbert P van Nierop, Eric C M van Gorp, Frank Tobian, Bas B Oude Munnink, Reina S Sikkema, Thomas Jaenisch, Guy Cochrane, Marion P G Koopmans

“…An analytical timeline of events, describing key actions and delays in the execution of the pilot, and a critical path, defining steps in the process of internationally sharing a linked cohort dataset are included. …”
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Reframing resilience-oriented urban water management: learning from social–ecological–technological system interactions and uncertainties in a water-scarce city by Elisabeth H. Krueger, Zhao Ma, Ghada N. Kassab, Nona Schulte-Römer

“…Our results have implications for resilience-oriented urban water management and governance in terms of what to manage (fast/slow variables, connectivity), how (learning/experimenting), and by whom (broad participation). …”
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Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis. by Shang-Ming Zhou, Fabiola Fernandez-Gutierrez, Jonathan Kennedy, Roxanne Cooksey, Mark Atkinson, Spiros Denaxas, Stefan Siebert, William G Dixon, Terence W O'Neill, Ernest Choy, Cathie Sudlow, UK Biobank Follow-up and Outcomes Group, Sinead Brophy

“…<h4>Methods</h4>This study linked routine primary and secondary care EHRs in Wales, UK. A machine learning based scheme was used to identify patients with rheumatoid arthritis from primary care EHRs via the following steps: i) selection of variables by comparing relative frequencies of Read codes in the primary care dataset associated with disease case compared to non-disease control (disease/non-disease based on the secondary care diagnosis); ii) reduction of predictors/associated variables using a Random Forest method, iii) induction of decision rules from decision tree model. …”
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CovidRhythm: A Deep Learning Model for Passive Prediction of Covid-19 Using Biobehavioral Rhythms Derived From Wearable Physiological Data by Atifa Sarwar, Emmanuel O. Agu, Abdulsalam Almadani

“…<italic>Goal:</italic> To investigate whether a deep learning model can detect Covid-19 from disruptions in the human body&#x0027;s physiological (heart rate) and rest-activity rhythms (rhythmic dysregulation) caused by the SARS-CoV-2 virus. …”
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Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000–2019) by Daniel Adane, Assefa Andargie Kassa, Berhanu Abebaw Mekonnen, Rahel Mulatie Anteneh, Chalachew Yenew, Meron Asmamaw Alemayehu, Tilahun Degu Tsega, Sintayehu Simie Tsega, Almaw Genet Yeshiwas, Abathun Temesegen, Habitamu Mekonen, Amare Genetu Ejigu, Abraham Teym, Gashaw Melkie Bayeh, Getaneh Atikilit, Tesfaneh Shimels, Wolde Melese Ayele, Ahmed Fentaw Ahmed, Birhanemaskal Malkamu, Wondimnew Desalegn Addis, Getasew Yirdaw, Chalachew Abiyu Ayalew, Kalaab Esubalew, Zeamanuel Anteneh Yigzaw

“…After data preprocessing steps, including data conversion, filtering, aggregation and transformation, stationarity was checked using the Augmented Dickey-Fuller (ADF) test. …”
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IMPLEMENTASI MODUL IPA BERBASIS ETNOSAINS MASYARAKAT BENGKULU MATERI PENGUKURAN MELALUI DISCOVERY LEARNING UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS MAHASISWA by Indra Sakti, Aprina Defianti, Nirwana Nirwana

“…Each cycle consists of four research steps, namely planning, acting, observing, and reflecting. …”
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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…The methodology consisted of four main steps: (1) correlation and principal component analyses to identify key factors and reduce dimensionality; (2) development of a multilayer perceptron (MLP) deep learning model with three fully connected hidden layers using ReLU activation functions and dropout regularization to predict ecological pattern types; (3) comparison of four fusion methods (weighted average, nonlinear sigmoid transformation, information entropy, and principal component analysis) to integrate prediction results; and (4) spatial analysis of the relationship between land subsidence and ecological security patterns using chi-square tests and spatial overlay analysis. …”
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Can Correct and Incorrect Worked Examples Supersede Worked Examples and Problem-Solving on Learning Linear Equations? An Examination from Cognitive Load and Motivation Perspectives by Bing Hiong Ngu, Ouhao Chen, Huy P. Phan, Hasbee Usop, Philip Nuli Anding

“…In the CICWE group, students compared an incorrect step in the incorrect worked example with the parallel correct step in the correct worked example and justified why the step was wrong. …”
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Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong by Chun Sing Lam, Rong Hua, Herbert Ho-Fung Loong, Chun-Kit Ngan, Yin Ting Cheung

“…In the first step, we used four machine learning techniques, including the Bernoulli mixture model and partition-based methods, to cluster the comorbidities. …”
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Penumbuhan kemampuan berpikir kritis PKn melalui model numbered head together by Kurniasari Widiyaningrum, Edi Purwanta, Parsi Parsi

“…The learning step of the NHT model are as follows: 1) students are divided into small groups, 2) each student gets a different number, 3) teacher give an assignment to each group, 4) students ask to complete and discuss answers with the group respectively, 5) the teacher calls one of the numbers, then the students who gets the teaching comes out of the group and explains the assignment that has been done in front of the class, 6) student and teacher summarizes the results of their work together.…”
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Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features by Mingqi Li, Pengxin Wang, Kevin Tansey, Fengwei Guo, Ji Zhou

“…To address these issues, this study proposes a new deep learning approach for reconstructing time series LAI using SAR and optical data in two steps. …”
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Towards precision medicine strategies using plasma proteomic profiling for suspected gallbladder cancer: A pilot study by Ghada Nouairia, Martin Cornillet, Hannes Jansson, Annika Bergquist, Ernesto Sparrelid

“…High-dimensional statistical methods including machine learning regularization, were used to analyze the data. …”
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DISTRIBUTED DENIAL OF SERVICE (DDOS) FRAMEWORK IN SOFTWARE-DEFINED NETWORKING (SDN): A COMPREHENSIVE REVIEW, CHALLENGES AND FUTURE DIRECTIONS by Kanqi Xie, Mohamad Yusof Darus, Boxun Liao, Nan Ding, Azlin Ramli

“…Moreover, the synergy of SDN with Machine Learning (ML) and Deep Learning (DL) technologies provide a promising approach for effective threat mitigation. …”

Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care uni... by Xiang Luo, Xiuji Kan, Dongliang Wang, Yu Shi, Siqi Zhu, Zhenyu Chen, Congcong Wang, Wenqi Zhu, Xiangtong Wang, Wenwen Sun

“…Eight machine learning algorithms, such as random forest and extreme gradient boosting, were trained and evaluated using five-fold cross-validation. …”
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The Interplay among EFL Students' Epistemic Beliefs, Language Learning Strategies, and L2 Motivational Self-System: A Structural Equation Modeling Approach by Shaghyegh Shirzad, Hamed Barjesteh, Mahmood Dehqan, Mahboubeh Zare

“…Examining learners' beliefs about the essence of knowledge, how they are conceptualized, and the ways they influence the learning process have gained attention in the second language (L2) learning. …”
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Assessment of performance feedback as a teaching-learning tool in the operating room at the National Referral Hospital, Bhutan: a prospective pre-post interventional study by Karma Sherub, Yeshey Dorjey, Namkha Dorji, Sangay Tshering

“…Surgeons (trainers) and the surgical residents (trainees) performing elective surgical cases under general anesthesia were assessed for pre-intervention and post-intervention performance feedback using a validated Objective Structured Assessment of Debriefing (OSAD) based questionnaire. A validated SHARP 5-Step Feedback tool for surgery (Setting up learning objectives, How did it go, Address concerns, Review learning points, and Plan ahead) was used as an intervention. …”
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Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning by Bowen Wang, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo

“…Here we report a novel learning-based ultrafast 3D imaging technique, termed single-shot super-resolved FPP (SSSR-FPP), which enables ultrafast 3D imaging at 100,000 Hz. …”
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ELM2.1-XGBfire1.0: improving wildfire prediction by integrating a machine learning fire model in a land surface model by Y. Liu, H. Huang, S.-C. Wang, T. Zhang, D. Xu, Y. Chen

“…A Fortran–C–Python deep learning bridge is adapted to support online communication between ELM and the ML fire model. …”
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