Depression symptom severity and behavioral impairment in school-going adolescents in Uganda by Ronald Anguzu, Catherine Abbo, Julia Dickson-Gomez, Max Bobholz, Arthur Kiconco, Abdul R. Shour, Richard Kabanda, Kenneth Kalani, Laura D. Cassidy

“…Abstract Background During adolescence, a critical developmental phase, cognitive, psychological, and social states interact with the environment to influence behaviors like decision-making and social interactions. Depressive symptoms are more prevalent in adolescents than in other age groups which may affect socio-emotional and behavioral development including academic achievement. …”
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Multiparameter body composition analysis on chest CT predicts clinical outcomes in resectable non-small cell lung cancer by Yilong Huang, Hanxue Cun, Zhanglin Mou, Zhonghang Yu, Chunmei Du, Lan Luo, Yuanming Jiang, Yancui Zhu, Zhenguang Zhang, Xin Chen, Bo He, Zaiyi Liu

“…Critical relevance statement Our findings emphasize the significance of muscle mass, quality, and fat energy storage in clinical decision-making for patients with non-small cell lung cancer (NSCLC). …”
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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“…Abstract   Myers-Briggs Type Indicator (MBTI) personality is becoming a popular topic in understanding individual characteristics and their impact on social interaction, career, and decision-making. Machine Learning models with Naive Bayes Classifier algorithms are often used to predict MBTI personalities from Twitter data. …”
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Large-scale flood risk assessment in data-scarce areas: an application to Central Asia by P. Ceresa, G. Bussi, S. Denaro, G. Coccia, P. Bazzurro, P. Bazzurro, M. Martina, M. Martina, E. Fagà, C. Avelar, M. Ordaz, B. Huerta, O. Garay, Z. Raimbekova, K. Abdrakhmatov, S. Mirzokhonova, S. Mirzokhonova, V. Ismailov, V. Belikov

“…This article presents the data, model, methodology, and results for the five Central Asian countries of the flood risk assessment, which represents the first high-resolution regional-scale transboundary risk assessment study in the area aiming to provide tools for decision-making. The output information will inform and enable the World Bank to initiate a policy dialogue.…”
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Pemanfaatan Data PDDIKTI sebagai Pendukung Keputusan Manajemen Perguruan Tinggi by Ngatmari Ngatmari, Muhammad Bisri Musthafa, Cahya Rahmad, Rosa Andrie Asmara, Faisal Rahutomo

“…Techniques in providing solutions to these problems are classification techniques to assist decision making, for example Decission Tree (C4.5, ID3, CHAID, rule induction) and forecasting techniques using simple moving average (SMA) methods. …”
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Psychometric evaluation of the exercise-related cognitive errors questionnaire among Chinese emerging adults by Mengyao Guo, Jin Kuang, Ting Wang, Fabian Herold, Alyx Taylor, Jonathan Leo Ng, Jonathan Leo Ng, M. Mahbub Hossain, M. Mahbub Hossain, Arthur F. Kramer, Arthur F. Kramer, Robert Schinke, Zhihui Cheng, Liye Zou

“…BackgroundCognitive errors involve negatively biased or distorted thinking patterns that can hinder effective decision-making. When such a phenomenon occurs in the exercise domain, this is referred to as exercise-related cognitive error. …”
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Reduced functional independence and multimorbidity increases the risk of severe infection among older patients with Omicron: a multicenter retrospective cohort study by Wan Yu, Runnian Huang, Shuning Sun, Li Bu, Xin Chen, Yunhua Di, Shuwu Lin, Qian Li, Yang Yang, Xingyue Ye, Wenxu Wang, Rui Ren, Linze Xi, Ru Zhang, Yi Li, Xin Li, Tianbo Hou, Zibo Ning, Yang Peng, Difei Wang

“…Conclusions Our results provide further scientific evidence on the association between FI, multimorbidity, and disease severity in older COVID-19 patients, contributing to future health decision-making for COVID-19 and other infectious diseases.…”
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Effectiveness of a Web-Based Medication Education Course on Pregnant Women’s Medication Information Literacy and Decision Self-Efficacy: Randomized Controlled Trial by Suya Li, Hui-Jun Chen, Jie Zhou, Yi-Bei Zhouchen, Rong Wang, Jinyi Guo, Sharon R Redding, Yan-Qiong Ouyang

“…It is important for pregnant women to comprehensively evaluate the risk of medication treatment, self-monitor their medication response, and actively participate in decision-making to reduce medication-related adverse events. …”
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Lipids in parenteral nutrition – expert consensus statements: Translating guidelines into clinical practice by Robert G. Martindale, Philip C. Calder, Sarah V. Cogle, David C. Evans, Leah Gramlich, Stephen A. McClave, Manpreet S. Mundi, Maurizio Muscaritoli, Reid Nishikawa, Jayshil Patel, Lorenzo Pradelli, Martin Rosenthal, Christian Stoppe, Kelly A. Tappenden, Malissa Warren, Dan Waitzberg, Paul E. Wischmeyer, Stanislaw Klek

“…The latter aim to assist healthcare professionals in their decision-making processes in daily practice by providing practical guidance related to providing lipid emulsions as part of PN. …”
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Quantification of Forest Regeneration on Forest Inventory Sample Plots Using Point Clouds from Personal Laser Scanning by Sarah Witzmann, Christoph Gollob, Ralf Kraßnitzer, Tim Ritter, Andreas Tockner, Lukas Moik, Valentin Sarkleti, Tobias Ofner-Graff, Helmut Schume, Arne Nothdurft

“…Therefore, it is logical to attempt a LiDAR-based quantification of forest regeneration, which could greatly enhance area-wide monitoring, further supporting sustainable forest management through data-driven decision making. However, examples in the literature are relatively sparse, with most relevant studies focusing on an indirect quantification of understory density from airborne LiDAR data (ALS). …”
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Pengembangan Business Intelligence Dashboard untuk Monitoring Aktivitas Pariwisata (Studi Kasus: Dinas Pariwisata Provinsi Bali) by Evan Himawan Saragih, I Putu Agung Bayupati, Gusti Agung Ayu Putri

“…The system developed can assist the tourism monitoring process and support decision making. …”
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In-Season Automated Mapping of Xinjiang Cotton Based on Cumulative Spectral and Phenological Characteristics by Yongsheng Huang, Yaozhong Pan, Yu Zhu, Xiufang Zhu, Xingsheng Xia, Qiong Chen, Jufang Hu, Hongyan Che, Xuechang Zheng, Lingang Wang

“…Obtaining timely, accurate, and automated data on the spatial distribution and planting area of cotton is crucial for production management and informed trade decision-making. In this regard, remote sensing technologies are important and effective means. …”
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Penggabungan Best Worst Method, Moora Dan Copeland Score Pada Sistem Pendukung Keputusan Kelompok Penentuan Penerima Bantuan Pada Dinas Sosial by Willy Bima Alfajri, Dinar Mutiara Kusumo Nugraheni, Bayu Surarso

“…The precision of the selection of social assistance beneficiaries has a direct impact on the achievement of social protection goals, so the results of calculations using this method can be used as a reference in the Social Service's decision-making process. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…In contrast, ML can optimize treatment processes, improve resource recovery rates, and enhance decision-making. This study explores a range of commonly used ML models, including artificial neural network (ANN), support vector machine (SVM), decision tree, random forest, and extreme gradient boosting (XGBoost). …”
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Impact of integration of transferable skills into education and training on employability of women in Kenya: case for CAPYEI by Daniel Otieno, Jackline Nyerere, Christopher Shisanya, Wilson Mutuma, Damaris Kariuki, Hannah Bula, Shem Onsomo, John Macharia, Eldah Onsomu, Martha Muhwezi, Charles Ondieki, Jacqueline Onyango

“…For instance, over 80% of both the beneficiaries and non-beneficiaries indicated that they possessed communication, teamwork, interpersonal, decision-making, prioritization, assertiveness and negotiation skills, whereas 58 % and 63 % of the beneficiaries and non-beneficiaries, respectively, indicating that they possessed information and communication technology (ICT) skills. …”
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Supported biopsychosocial self-management for back-related leg pain: a randomized feasibility study integrating a whole person perspective by Brent Leininger, Roni Evans, Carol M. Greco, Linda Hanson, Craig Schulz, Michael Schneider, John Connett, Francis Keefe, Ronald M. Glick, Gert Bronfort

“…Providers also noted some challenges navigating the shared decision-making process and deciding what self-management tools to prioritize. …”
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Responsible research in health disparities using the Adolescent Brain Cognitive DevelopmentSM (ABCD) study by MR Gonzalez, C Cardenas-Iniguez, DE Linares, S Wonnum, K Bagot, EJ White, A Cuan, S DiMatteo, YD Akiel, P Lindsley, JC Harris, E Perez-Amparan, TD Powell, Comité Organizador Latino de City Heights (COLCH), G Dowling, D Alkire, WK Thompson, TM Murray

“…We apply the methodological recommendations in an example data analysis using a multi-level approach that integrates strength-based and data equity perspectives to elucidate pathways by which social and structural inequities may influence cognitive decision making in youth. We conclude with recommendations for strengthening the utility of ABCD data for health disparities research now and in the future. …”
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‘It is scary to pause treatment’: perspectives on HIV cure-related research and analytical treatment interruptions from women diagnosed during acute HIV in Durban, South Africa: So... by Deli Mthimkhulu, Krista L. Dong, Mzwakhe Wiseman Ngcobo, Deborah Mindry, Ayanda Zulu, Ntombifuthi Langa, Luyanda Maphalala, Vanessa Pillay, Maud Mthembu, Annie Miall, Whitney Tran, Ana Dillen, Fang Wan, Ali Ahmed, Jamila K. Stockman, Maryam Hussain, Thumbi Ndung’u, Karine Dubé

“…Trust in the research team and close monitoring were seen as positive factors, while fears around sharing of HIV/ATI status and transmission to sex partners complicated decision-making. Participants expressed a need for psychological counseling and access to community resources to manage ATI-related stressors. …”
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Costs of community-wide mass drug administration and school-based deworming for soil-transmitted helminths: evidence from a randomised controlled trial in Benin, India and Malawi by Judd Walson, ROBIN BAILEY, Katya Galactionova, Maitreyi Sahu, Samuel Paul Gideon, Saravanakumar Puthupalayam Kaliappan, Chloe Morozoff, Sitara Swarna Rao Ajjampur, Khumbo Kalua, Euripide Avokpaho, Moudachirou Ibikounle, Arianna Rubin Means, James Simwanza, Wongani Lungu, Parfait Houngbegnon, Adrian J F Luty, Rachel Pullan

“…We compared the costs of cMDA to SBD to inform decision-making about future updates to STH policy.Design We conducted activity-based microcosting of cMDA and SBD for 2 years in Benin, India and Malawi within an ongoing cMDA trial.Setting Field sites and collaborating research institutions.Primary and secondary outcomes We calculated total financial and opportunity costs and costs per treatment administered (unit costs in 2019 USD ($)) from the service provider perspective, including costs related to community drug distributors and other volunteers.Results On average, cMDA unit costs were more expensive than SBD in India ($1.17 vs $0.72) and Malawi ($2.26 vs $1.69), and comparable in Benin ($2.45 vs $2.47). cMDA was more expensive than SBD in part because most costs (~60%) were ‘supportive costs’ needed to deliver treatment with high coverage, such as additional supervision and electronic data capture. …”
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Prognostic prediction for inflammatory breast cancer patients using random survival forest modeling by Yiwei Jia, Chaofan Li, Cong Feng, Shiyu Sun, Yifan Cai, Peizhuo Yao, Xinyu Wei, Zeyao Feng, Yanbin Liu, Wei Lv, Huizi Wu, Fei Wu, Lu Zhang, Shuqun Zhang, Xingcong Ma

“…Conclusion: In this study, we constructed a prognosis prediction model for IBC patients through RSF algorithm, which may potentially serve as a useful tool during clinical decision-making.…”
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