Impact of violence on emotional exhaustion risk of registered nurses in Germany: a Bayesian analysis of cross-sectional data with multiple imputations by Alessandro Campione, Cornelia Henschke

“…Multiple imputations were applied to missing data. The primary outcome, emotional exhaustion, was assessed with the Maslach Burnout Inventory. …”
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Association between conicity index and prevalence of periodontitis in US adults: the 2009–2014 NHANES cross-sectional study by Jie Xu, Jiaming Cui, Jingwen Xiong, Xiatian Jiang, Meng Chen, Xiaobing Luo

“…Additionally, sensitivity analyses that adjusted for missing covariates and physical activity further validated the robustness of the results, confirming that the C-index is independently associated with periodontitis prevalence. …”
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One-Stage Approach to Rehabilitate a Hopeless Tooth in the Maxilla by Means of Immediate Dentoalveolar Restoration: Surgical and Prosthetic Considerations by Gabriel Mulinari-Santos, Fabio Luiz Ferreira Scannavino, Erica Dorigatti de Avila, Luiz Antonio Borelli Barros-Filho, Leticia Helena Theodoro, Luiz Antonio Borelli Barros, Rafael Scaf de Molon

“…In conclusion, the employed treatment validated immediate implant-supported restoration of the missing tooth with high predictability. Furthermore, this protocol resulted in fewer surgical interventions, regeneration, and preservation of peri-implant tissues reaching the patient’s expectations.…”
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How can a measure improve assessment and management of symptoms and concerns for people with dementia in care homes? A mixed-methods feasibility and process evaluation of IPOS-Dem. by Clare Ellis-Smith, Irene J Higginson, Barbara A Daveson, Lesley A Henson, Catherine J Evans, BuildCARE

“…It was perceived as quick and easy to use, with proportion of overall missing data decreasing from 2.1% to 1.1% from baseline to final time points. …”
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Physical and motivational effects of Exergames in healthy adults-A scoping review. by Katrin Hoffmann, Josef Wiemeyer, Anna Lisa Martin-Niedecken

“…Although numerous studies investigated the physical and motivational effects of Exergaming, a comprehensive summary of training effects in healthy adults is still missing. This scoping review aims to identify available evidence and research gaps on absolute and relative effects of Exergame training on physical indicators (effectiveness) and motivation (attractiveness) compared to no or conventional training in healthy adults. …”
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Predictors of independence in older people: A longitudinal, population-based study using the CARE75 + cohort by Emily Taylor, Victoria A Goodwin, Andrew Clegg, Lesley Brown, Julia Frost, Susan Ball

“…Multiple imputation was used to account for missing data. Results Participants’ mean age was 84.61 years (SD 4.95) and just over half were female (n = 655, 51.29%). …”
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Methodological Integration of Machine Learning and Geospatial Analysis for PM10 Pollution Mapping by Kalid Hassen Yasin, Muaz Ismael Yasin, Anteneh Derribew Iguala, Tadele Bedo Gelete, Erana Kebede

“…Air pollution mitigation necessitates accurate spatial modelling to inform public health interventions. Traditional approaches inadequately capture complex predictor-pollutant interactions, whereas machine learning (ML) offers a superior capacity for modelling nonlinear relationships. …”
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Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy by Mahadee Al Mobin

“…This approach addresses key issues in the handling of sparse datasets and missing data, offering novel insights into the potential accuracy benefits of data downscaling in time series forecasting. …”
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Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

“…This study leverages machine learning techniques to develop a predictive model that identifies patients at high risk of missing appointments using data from the Mawid scheduling system in Southern Saudi Arabia. …”
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The influence of identity-oriented psychotrauma therapy on Hashimoto disease activity: a randomised controlled trial by Maria-Magdalena Macarenco, Cristian Opariuc-Dan, Teodora Georgescu

“…The intervention comprised 10 bimonthly group sessions, one session every two weeks. …”
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C3H10T1/2 Mesenchymal Stem Cell Line as a New In Vitro Tool for Studying Adipocyte Dedifferentiation by Yuriko Yuuki, Takeshi Katafuchi, Tomohiko Kazama, Taro Matsumoto, Makoto Makishima

“…Despite their great potential for developing novel clinical interventions by using their multipotency, the detailed mechanisms of how adipocytes undergo dedifferentiation into DFAT cells are not completely understood, because useful in vitro tools for studying adipocyte dedifferentiation are missing. …”
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Cost-effectiveness of silver diamine fluoride for the prevention and control of early childhood caries: a scoping review by Carmen D. Macedo-Jaramillo, Estefany García-Cruz, Paulina De La Portilla-Robles, Daniela I. Guadarrama-García

“…Early childhood caries (ECC) is the presence of one or more decayed, missing, or filled teeth in children up to 71 months of age. …”
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Relationship between salivary flow rate and dental caries in normal and underweight children: a comparative cross-sectional study from district Tharparkar by Abdul Qadir Khan Dall, Muhammad Adeel Ahmed, Fizza Zulfiqar, Sarwat Batool, Rizwan Jouhar, Muhammad Faheemuddin

“…Dental caries were assessed using the DMFT (decayed, missing, and filled teeth) index. Data were analyzed using SPSS, and independent t-tests were performed to assess group differences. …”
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One Health Index Calculator for India Using Empirical Methods for Policy Stewardship: Development and Usability Study by Saveetha Meganathan, Arpit Katiyar, Esha Srivastava, Rakesh Kumar Mishra

“…There is a need for a collaborative data federation approach to resolve data gaps, including incomplete, missing, or unavailable data. Further, the correlation analysis between budgetary allocation and performance of indicators provides empirical evidence for policymakers to improve intersectoral communication, multistakeholder engagement, concerted interventions, and informed policy decisions for resource allocation.…”
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Unnecessary diagnostic imaging requested by medical students during a first day of residency simulation: an explorative study by Julia Gärtner, Lisa Bußenius, Sarah Prediger, Sigrid Harendza

“…This suggests the need for interventions to improve students’ clinical decision-making and reduce cognitive biases. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…In spite of the several interventions by Bank Uganda, a number of banks and other financial institutions have failed to operate forcing the regulators to intervene to ensure sanity in the financial system. …”
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Effect of Board Accountability on Financial Performance of Selected SACCOs in Kiruhura District, Uganda. by Kyabarongo, Benon, Agaba, Moses, Byamukama, Eliab Mpora, Sunday, Arthur, Sekiwu, Denis

“…In spite of the several interventions by Bank Uganda, a number of banks and other financial institutions have failed to operate forcing the regulators to intervene to ensure sanity in the financial system. …”
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Health information management of older, multimorbid patients in German primary care: feasibility and first results of the outcome measures of a cluster-randomised controlled pilot... by Astrid-Alexandra Klein, Maria Hanf, Truc Sophia Dinh, Franziska Brosse, Jenny Petermann, Steve Piller, Sylvia Schulz-Rothe, Lena Schäfer, Karola Mergenthal, Hanna M. Seidling, Sophia Klasing, Nina Timmesfeld, Bahareh Yousefi, Marjan van den Akker, Karen Voigt

“…The secondary outcomes and survey methods used also proved feasible for GP practices and older multimorbid patients, with low missing rates. However, there was no hint of the influence of the intervention in the study groups in the explorative analyses. …”
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Development and Evaluation of a Machine Learning Model for Predicting 30-Day Readmission in General Internal Medicine by Abdullah M. Al Alawi, Mariya Al Abdali, Al Zahraa Ahmed Al Mezeini, Thuraiya Al Rawahia, Eid Al Amri, Maisam Al Salmani, Zubaida Al-Falahi, Adhari Al Zaabi, Amira Al Aamri, Hatem Al Farhan, Juhaina Salim Al Maqbali

“…Data preprocessing included handling missing values, standardizing continuous variables, and applying one-hot encoding to categorical variables. …”
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Protocol for a double-blinded randomised controlled trial and process evaluation of a digital psychotherapeutic app in Singapore to improve symptom burden in patients with dermatol... by Nick Sevdalis, Jose M Valderas, Valencia Long, Mark Jean-Aan Koh, Liang Shen, Phillip Phan, Ellie Choi, Nisha Suyien Chandran, Mayank Dalakoti, Ziying Vanessa Lim, Jia Yi Chua, Cyrus S Ho, Kean J Hsu

“…However, there is limited evidence on the application of such interventions in dermatology, and most mental health apps lack robust clinical evaluation. …”
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