Intelligent prediction and understanding of self-shrinkage in ultra-high performance concrete based on machine learning by Ji Hao, Wenbin Jiao, Xinpo Xie, Dula Man, Shengwei Huang

“…It provides an integrated approach encompassing data collection, preprocessing, model training, prediction, and result comparison to effectively illustrate the framework. Initially, missing data were interpolated using the modified Akima interpolation method, with visualized results provided for discussion. …”
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A scoping review of burden of disease studies estimating disability-adjusted life years due to Taenia solium. by Andrew Larkins, Mieghan Bruce, Carlotta Di Bari, Brecht Devleesschauwer, David M Pigott, Amanda Ash

“…Published data relating to disease models, data sources, disability-adjusted life years, sensitivity, uncertainty, missing data, and key limitations were collected.<h4>Results</h4>15 studies were included for review, with seven global and eight national or sub-national estimates. …”
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Identification of QTLs for resistance to leaf and stem rusts in bread wheat (Triticum aestivum L.) using a mapping population of ‘Pamyati Azieva × Paragon’ by Y. Genievskaya, Y. Fedorenko, A. Sarbayev, A. Amalova, S. Abugalieva, S. Griffiths, Y. Turuspekov

“…A total of 4595 polymorphic SNP markers were further selected for linkage analysis after filtering based on missing data percentage and segregation distortion. Windows QTL Cartographer was applied to identify QTLs associated with LR and SR resistances in the RIL mapping population studied. …”
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A randomised controlled trial of fluoxetine versus naltrexone in compulsive sexual behaviour disorder: presentation of the study protocol by Jussi Jokinen, Josephine Savard, Katarina Görts Öberg, Cecilia Dhejne

“…The results will be analysed using an appropriate analysis of variance model or a mixed model, depending on the distribution of HD: CAS and the extent of missing data.Ethics and dissemination The Swedish Ethical Review Authority and the Swedish Medical Products Agency have approved the study on 27 May 2020 and 4 June 2020, respectively (ref. no. 2020-02069 and ref. no. 5.1-2020-48282). …”
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The international trial of nasal oxygen therapy after cardiac surgery (NOTACS) in patients at high risk of postoperative pulmonary complications: Economic evaluation protocol and a... by Siddesh Shetty, Melissa Duckworth, Richard Norman, Jacquita Affandi, Sarah Dawson, Julia Fox-Rushby, NOTACS investigators, NOTACS Trial Steering Committee, NOTACS DMEC Committee

“…Unit costs will be sourced from national, published or local data. Missing data will be assessed, with values replaced depending on assumed mechanism of missingness, and impact of replacement on cost-effectiveness assessed. …”
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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

“…The relative error of the filled missing data was 0.21.…”
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Bridging the gap: rescuing and digitizing historical meteorological records by Kofi Asare, Nana Ama Browne Klutse, Stephen Aboagye-Ntow, Caroline Edinam Doe, Antwi-Boasiako Amoah, Eric Asuman, Martin Addi, Benjamin Adjetey Wemegah

“…Through extensive data searches at the GMet archive and fieldwork, data were successfully rescued, digitized, and quality-controlled, reducing the percentage of missing data and enhancing overall data availability. …”
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The Effect of Board Risk Management on Financial Performance of Selected Saccos in Kiruhura District, Uganda. by Kyabarong, Benon, Agaba, Moses, Munyabonera, Francisis, Byamukama, Eliab Mpora, Kikawa, Cliff, Ahabwe, Oliver

“…These statistics included multicollinearity, mean and standard deviation, outliers and extreme values, and missing data. SEM was implemented using Jaffrey's Amazing Statistical Program (JASP) version 0.17.2.0. …”
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Unpacking the Mood States of Children and Youth in Saskatchewan, Canada, in the Context of the COVID-19 Pandemic: Insights from the “See Us, Hear Us 2.0” Study by Nahin Shakurun, Tamara Hinz, Daniel A. Adeyinka, Nazeem Muhajarine

“…Multiple linear regression and mediation analyses were conducted, ensuring sample representativeness with sampling weights and addressing missing data through multiple imputations. Results: The participants reported mood symptoms (“moderate” to “extreme”) ranging from 23% to 38% on the CRISIS scale. …”
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Associations between Chinese Visceral Adiposity Index and the Risk of Metabolic Dysfunction-associated Steatotic Liver Disease and Liver Fibrosis: A Large Cross-sectional Study by Hui Liu, Mingming Deng, Gang Luo, Jie Chen

“…The present study aimed to investigate the relationships between CVAI and MASLD or hepatic fibrosis in an American population, as well as to assess the diagnostic value of CVAI for MASLD and fibrosis.Methods: After excluding missing data on calculations of indices, diagnosis of MASLD, and covariates, 3242 participants were selected from the National Health and Nutrition Examination Survey 2017-2020. …”
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Development and validation of a novel AI-derived index for predicting COPD medical costs in clinical practice by Guan-Heng Liu, Chin-Ling Li, Chih-Yuan Yang, Shih-Feng Liu

“…Methods: A retrospective analysis of 396 COPD patients was conducted, utilizing clinical, demographic, and comorbidity data. Missing data were addressed through advanced imputation techniques to minimize bias. …”
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Psychological impact and coping mechanisms among sudanese medical students: a study on anxiety, depression, behavioral, and cognitive changes post COVID-19 lockdown and ongoing con... by Ali Awadallah Saeed, Ahmad Mohammad Al Zamel, Abrar Abdu Abass, Aisha Ahmed Mohammed, Fidaaldeen Adil Abdallh, Hiba Elhadi Ali, Nooralain Mohammed Hassan, Raad Mohammed Osman, Toga Abdelmutaal Mohammed, Azza Osman Yousif, Lamya Bashir Eisa

“…Results Data analysis using SPSS 27 indicated minimal missing data (0.25%) among the 393 participants. PHQ-4 scores assessed psychological distress, anxiety, and depression. …”
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Cataract surgery in Australia: a review of the regional literature and outcomes from 5018 cases at a tertiary teaching hospital by Chameen Samarawickrama, Muhammad A Khan, Brendon W H Lee, Lauren Sartor

“…The key risk factors for PCR were advanced cataract, alpha-antagonist use, small pupil size and the presence of glaucoma.Conclusion We present visual and surgical outcomes from the largest study on phacoemulsification cataract surgery in Australia and New Zealand, acknowledging the study’s retrospective nature preventing inter-eye correlations, subdivision of cataract subspecialist versus not and trainee rank, and the minority of missing data. Our findings were comparable to regional and international benchmarks despite a high rate of ocular pathology and trainee case load. …”
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Association between higher mortgage payment-to-income ratio and greater psychological distress among high-income homeowners in Japan: A cross-sectional study by Kazuya Ogawa, Keiichi Shimatani, Ryotaro Iwayama, Norimichi Suzuki

“…We performed modified log Poisson regression analyses, incorporating income stratification, with missing data handled by multiple imputation. Results: For both overall respondents (PR = 1.22, 95 % CI 1.11–1.35) and the high-income group (PR = 1.23, 95 % CI 1.09–1.39), individuals with mortgage payment ratios ≥30 % were more likely to report psychological distress compared with those <30 %. …”
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QAR Data Imputation Using Generative Adversarial Network with Self-Attention Mechanism by Jingqi Zhao, Chuitian Rong, Xin Dang, Huabo Sun

“…Attention mechanisms can maintain the correlation among QAR data and improve the capability of the model to impute missing data. Furthermore, we improve the proposed model by integrating a self-attention mechanism to further capture the relationship between different parameters within the QAR data. …”
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Feasibility and acceptability for LION, a fully remote, randomized clinical trial within the VA for light therapy to improve sleep in Veterans with and without TBI: An MTBI2 sponso... by Jonathan E Elliott, Jessica S Brewer, Allison T Keil, Brittany R Ligman, Mohini D Bryant-Ekstrand, Alisha A McBride, Katherine Powers, Savanah J Sicard, Elizabeth W Twamley, Maya E O'Neil, Andrea D Hildebrand, Thuan Nguyen, Benjamin J Morasco, Jessica M Gill, Bradley A Dengler, Miranda M Lim

“…Participant drop out occurred in <10% of those enrolled, incomplete/missing data was present in <15% of key outcome variables, and overall fidelity adherence to the intervention was >85%, collectively establishing feasibility and acceptability for MBLT in Veterans with mTBI.…”
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Risk prediction models for post-intensive care syndrome of ICU discharged patients: A systematic review by Pengfei Yang, Fu Yang, Qi Wang, Fang Fang, Qian Yu, Rui Tai

“…Following the literature screening process, we extracted data encompassing participant sources, post-intensive care syndrome (PICS) outcomes, sample sizes, missing data, predictive factors, model development methodologies, and metrics for model performance and evaluation. …”
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Data linkage of German statutory health insurance claims data and care needs assessments preceding a population-based cohort study on nursing home admission by Karin Wolf-Ostermann, Dominik Domhoff, Kathrin Seibert, Susanne Stiefler, Dirk Peschke

“…Records from two federal states could not be matched due to missing data. Linkage rates were lower where more people shared the same attributes. …”
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Evaluating the effects of time-restricted eating on overweight and obese women with polycystic ovary syndrome: A randomized controlled trial study protocol. by Hui Liu, Fuliang Shangguan, Fen Liu, Yu Guo, Huixi Yu, Hanbing Li, Yinhua Su, Zhongyu Li

“…All tests will be conducted using appropriate software, with a significance level set at P<0.05. Missing data will be imputed.<h4>Discussion</h4>The purpose of this study protocol is to further evaluate the effects of TRE in overweight and obese women with PCOS through a randomized controlled trial (RCT). …”
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Systematic review of the application of the Kidney Failure Risk Equation and Oxford classification in estimating prognosis in IgA Nephropathy by M. P. Toal, R. Fergie, M. P. Quinn, C. J. Hill, C. O’Neill, A. P. Maxwell

“…The risk of bias was high due to insufficient follow-up and handling of missing data, so overall confidence in findings is very low. …”
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