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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Adapting first aid education to fragile contexts: A qualitative study

“…Through qualitative analysis, we identified educational approaches and themes including: The need to take a basic (de-medicalized) approach; Context adaptation; Consideration of the types of injuries and emergencies that learners were likely to face; Engaging learners through active learning approaches; and A focus on critical thinking. …”
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Spatial deconvolution from bulk DNA methylation profiles determines intratumoral epigenetic heterogeneity by Binbin Liu, Yumo Xie, Yu Zhang, Guannan Tang, Jinxin Lin, Ze Yuan, Xiaoxia Liu, Xiaolin Wang, Meijin Huang, Yanxin Luo, Huichuan Yu

“…Conclusion By developing a 7-loci panel using a machine learning approach combined with the QASM assay for PCR-based application, we present a valuable method for evaluating intratumoral heterogeneity. …”
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Meta-analysis on the chronic effects of exercise on depression in older adults by Melanie Mack, Claudia Voelcker-Rehage, Pinelopi S. Stavrinou, Iuliia Pavlova, Yaël Netz, Burcu Kömürcü Akik, Antonia Kaltsatou, Sandra Haider, Christoforos D. Giannaki, Arzu Erden, Andreea Badache, Michel Audiffren

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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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Evaluating the Cellophane Production Supply Chain Using Multi-Criteria Decision-Making Approaches by َAhmad Jafarnejad, Amir Mohammad Khani

“…While this is more about learning the present state of the market, it is also important to realize future trends, customer needs, and competition. …”
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A visual walkthrough of robotic partial mesorectal excision using the Versius surgical system by Amro Mureb

“…All these features help the colorectal surgeon complete the rectal surgery more safely and effectively, and like any surgical procedure, standardization of the technique can lead to a shorter learning curve and better outcomes. In this video, we demonstrated a step-by-step approach to tumour-specific mesorectal excision operation using the Versius robotic system platform, starting the mesorectal dissection posteriorly along the plane between the mesorectum and presacral fascia; this dissection should continue distally until reaching at least 5 cm beyond the lower edge of the tumour level which is localised intraoperatively using a rigid sigmoidoscope. …”
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Data-driven exploration of weak coordination microenvironment in solid-state electrolyte for safe and energy-dense batteries by Zhoujie Lao, Kehao Tao, Xiao Xiao, Haotian Qu, Xinru Wu, Zhiyuan Han, Runhua Gao, Jian Wang, Xian Wu, An Chen, Lei Shi, Chengshuai Chang, Yanze Song, Xiangyu Wang, Jinjin Li, Yanfei Zhu, Guangmin Zhou

“…Assisting with unsupervised learning, we use Climbing Image-Nudged Elastic Band simulations to screen lithium-ion conductors and screen out five potential candidates that elucidate the impact of lithium coordination environment on conduction behavior. …”
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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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Signatures of H3K4me3 modification predict cancer immunotherapy response and identify a new immune checkpoint-SLAMF9 by Tao Fan, Chu Xiao, Ziqin Deng, Shuofeng Li, He Tian, Yujia Zheng, Bo Zheng, Chunxiang Li, Jie He

“…Using the principal component analysis (PCA) of H3K4me3-related patterns, we constructed a H3K4me3 risk score (H3K4me3-RS) system. The deep learning analysis using 12,159 cancer samples from 26 cancer types and 725 cancer samples from 5 immunotherapy cohorts revealed that H3K4me3-RS was significantly correlated with cancer immune tolerance and sensitivity. …”
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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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Factors associated with early childhood development: results from the Brazilian National Survey on Child Nutrition (ENANI-2019) by Gilberto Kac, Nadya Helena Alves-Santos, Dayana Rodrigues Farias, Nathalia Cristina Freitas-Costa, Raquel Scincaglia, Paula Normando, Inês Rugani, Elisa Maria de Aquino Lacerda, Sandra Crispim, Alexandra Valeria Maria Brentani, Claudia Regina Lindgren Alves

“…For children aged 36–59 months, attendance to private daycare/school (β=0.08; p<0.01) was positively associated with DQ, and small for gestational age at birth (β=−0.05; p=0.01) and access to public health services (no-primary care) (β=−0.07; p<0.01) were inversely associated with DQ.Conclusions Adverse health, nutrition and learning factors predicted the ECD, demonstrating an inequitable environment for Brazilian children. …”
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Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial. by Hee Yun Seol, Pragya Shrestha, Joy Fladager Muth, Chung-Il Wi, Sunghwan Sohn, Euijung Ryu, Miguel Park, Kathy Ihrke, Sungrim Moon, Katherine King, Philip Wheeler, Bijan Borah, James Moriarty, Jordan Rosedahl, Hongfang Liu, Deborah B McWilliams, Young J Juhn

“…<h4>Measurements</h4>Intervention was a quarterly A-GPS report to clinicians including relevant clinical information for asthma management from EHRs and machine learning-based prediction for risk of asthma exacerbation (AE). …”
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Empirical estimation of saturated soil-paste electrical conductivity in the EU using pedotransfer functions and Quantile Regression Forests: A mapping approach based on LUCAS topso... by Calogero Schillaci, Simone Scarpa, Felipe Yunta, Aldo Lipani, Fernando Visconti, Gábor Szatmári, Kitti Balog, Triven Koganti, Mogens Greve, Giulia Bondi, Georgios Kargas, Paraskevi Londra, Fuat Kaya, Giuseppe Lo Papa, Panos Panagos, Luca Montanarella, Arwyn Jones

“…In this work, using the LUCAS 2018 dataset, we provide an empirically-derivedpedotransfer function to convert diluted EC1:5 to saturated ECe using the LUCAS soil texture and soil organic carbon, and a framework for ECe mapping with a machine-learning algorithm named Quantile Regression Forest. …”
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Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: A multicountry prospective observational study. by Guiyou Yang, Tünde Montgomery-Csobán, Wessel Ganzevoort, Sanne J Gordijn, Kimberley Kavanagh, Paul Murray, Laura A Magee, Henk Groen, Peter von Dadelszen

“…., the PIERS Machine Learning [PIERS-ML] model, and the logistic regression-based fullPIERS model) accurately identify individuals at greatest or least risk of adverse maternal outcomes within 48 h following admission. …”
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Qualitative evaluation of the Rehabilitation Exercise and psycholoGical support After COVID-19 InfectioN (REGAIN) randomised controlled trial (RCT): ‘you are not alone’ by Gordon McGregor, Susanne Finnegan, Martin Underwood, Joyce Yeung, James Mason, Peter Heine, Nigel Edwards, Julie Bruce, Kate Seers, Harbinder Kaur Sandhu, Helen Atherton, Sharisse Alleyne, Katie Booth, Ranjit Lall, Vivien P Nichols, Stuart Ennis, Scott McGuire, Rachel Potter, Jessica Smith, Chen Ji, Shilpa Patel, Henry Nwankwo, Kate Evans, Susie Hennings, Alastair Canaway, Grace Lobley, David Mcwilliams, Christina Jones, Emma Padfield, David Montgomery, Beatriz Lara, Becky Haley, Francesca Denton, Bartholomew Sheehan, Mariam Ratna, Elaine Fairbrother, Zoe Noakes, Bogdan Zutic, Lee Austin, Tom Forsyth, Anne Bush, Alan Bush, Patrick Sawdon, Jonathon Prosser, Lee Tompkins, Jonathon Guck, Danielle Hale, Juwairia Said, Georgie Ray, Rowena Williams, Gail Evans, Thillini Hettiarachchi, Abeesh Panicker

“…The group sessions of both exercise and psychological support were valued by participants, working together, and learning from each other in the face of a new disease within a global pandemic.…”
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Penerapan Intelligent Geographic Information System untuk Deteksi Kecanduan Game by Anastasya Latubessy, Ahmad Jazuli, Rina Fiati

“…Previous research has shown a negative correlation between game addiction and the learning process. Reviewing this, parents need to be aware of the pattern of children's game play. …”
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Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state by Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, Elnaz Nasirzadeh, Meriem Essakhraoui, Ali Abedi, Mehdi Ostadhassan, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh

“…In this study, two powerful and robust tree-based machine learning (ML) algorithms, namely light gradient boosted machine (LightGBM) and extreme gradient boosting (XGBoost) were utilized to precisely estimate CO2 Z-factor. …”
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Mental health phenotypes of well-controlled HIV in Uganda by Leah H. Rubin, Leah H. Rubin, Leah H. Rubin, Leah H. Rubin, Kyu Cho, Jacob Bolzenius, Julie Mannarino, Rebecca E. Easter, Raha M. Dastgheyb, Aggrey Anok, Stephen Tomusange, Deanna Saylor, Maria J. Wawer, Noeline Nakasujja, Gertrude Nakigozi, Robert Paul

“…We leverage the analytic strengths of machine learning combined with inferential methods to identify novel MH phenotypes among PWH and the underlying explanatory features.MethodsA total of 277 PWH (46% female, median age = 44; 93% virally suppressed [&lt;50copies/mL]) were included in the analyses. …”
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