Use of Augmented Reality for Training Assistance in Laparoscopic Surgery: Scoping Literature Review by Francisco Javier Celdrán, Javier Jiménez-Ruescas, Carlos Lobato, Lucía Salazar, Juan Alberto Sánchez-Margallo, Francisco M Sánchez-Margallo, Pascual González

“…Regarding training setups (RQ 3), 39% (20/51) of the studies used commercial simulators, and 51% (26/51) made use of artificial models. Concerning the evaluation methods (RQ 4), objective evaluation was the most used, featured in 71% (36/51) of the studies. …”
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Effectiveness of Video Teletherapy in Treating Obsessive-Compulsive Disorder in Children and Adolescents With Exposure and Response Prevention: Retrospective Longitudinal Observati... by Jamie D Feusner, Nicholas R Farrell, Mia Nunez, Nicholas Lume, Catherine W MacDonald, Patrick B McGrath, Larry Trusky, Stephen Smith, Andreas Rhode

“…We analyzed longitudinal outcomes of OCD symptoms, depression, anxiety, and stress using linear mixed models. ResultsTreatment resulted in a median 38.46% (IQR 12.50%-64.00%) decrease in OCD symptoms at 13-17 weeks, and 53.4% of youth met full response criteria at this point. …”
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Research on equity analysis and forecasting of nursing human resource allocation in Jiangxi Province, China by Yunyu Du, Zhiqin Xie, Zhen Yang, Wanyin Xiong, Li Zhou, Min Zhang, Suhua Zeng, Min Wang

“…Demands for nursing human resource in Jiangxi Province from 2023 to 2027 were forecasted using the Autoregressive Integrated Moving Average (ARIMA) and Grey (1,1) models. Results: From 2003 to 2022, all the key nursing human resource indicators continuously increased; the number of registered nurses in Jiangxi Province increased by 109,786, with an average annual growth rate of 7.80%. …”
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Identification of a 5-Gene-Based Scoring System by WGCNA and LASSO to Predict Prognosis for Rectal Cancer Patients by He Huang, Shilei Xu, Aidong Chen, Fen Li, Jiezhong Wu, Xusheng Tu, Kunpeng Hu

“…Its predictive accuracy was also higher than all clinical factor models. A prognostic nomogram was developed by integrating the risk score and clinical factors, which showed the highest prognostic power. …”
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Implementasi Data Mining untuk Deteksi Penyakit Ginjal Kronis (PGK) menggunakan K-Nearest Neighbor (KNN) dengan Backward Elimination by Ikhsan Wisnuadji Gamadarenda, Indra Waspada

“…The best data mining modeling results from the system are made using Backward Elimination (α = 0.05) and kNN (k = 3) by calculating the increase in inspection costs and the highest sensitivity. …”
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PRACTICAL TRAINING OF OFFICERS OF THE STATE FIRE SERVICE THROUGH GAME-BASED LEARNING by V. V. Bulgakov, A. A. Lazarev, E. P. Konovalenko, T. A. Mochalova

“…In the course of the research, the methods of system analysis, synthesis and modelling of professional activity were employed. The research is based on the provisions of the associative-reflex theory, the theory of motivation development and the theory of contextual, modular, problem-based, reflexive and game-based learning.Results and scientific novelty. …”
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Epidemiology of neonatal disorders attributable to low birthweight-global burden of disease research, 1990–2021 by Qi Zhang, Lan Luo, Lai-lai Yan, Lai-lai Yan, Jing Guo, Hui-jun Wu, Zi-wei Zhang, Yu-hua Zhu, Rui Qiao, Rui Qiao

“…Trends and influencing factors were investigated through Joinpoint regression, health inequality analysis, and frontier modeling.ResultsIn 2021, the global age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life year (DALY) rate (ASDR) for neonatal diseases associated with low birth weight (LBW) were 22.76 [95% uncertainty interval (UI): 19.63–26.40] and 2,227.54 (95% UI: 1,939.96–2,563.52) per 100,000, respectively. …”
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Carbohydrate ligand engagement with CD11b enhances differentiation of tumor-associated myeloid cells for immunotherapy of solid cancers by Mei Zhang, Veronique Roche, Victor Sandoval, Claire Wolford, Zachary Senders, Julian Anthony Kim, Susan Pereira Ribeiro, Alex Yicheng Huang, Rafick-Pierre Sekaly, Joshua Lyons

“…We have applied peptide microarrays, multiparameter FACS (fluorescence-activated cell analysis) analysis, cellular/molecular immunological technology, advanced microscopic imaging, and transgenic mouse models of solid cancers, to study the interaction between BG34-200 carbohydrate ligand and CD11b protein and the resulting immunological changes in the context of solid cancers, including osteosarcoma, advanced melanoma, and pancreatic ductal adenocarcinoma (PDAC).Results Our results show that BG34-200 can bind directly to the activated CD11b on its I (or A) domain, at previously unreported peptide residues, in a multisite and multivalent manner. …”
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Mortality in Antinuclear Antibody-Positive Patients with and Without Rheumatologic Immune-Related Disorders: A Large-Scale Population-Based Study by Uria Shani, Paula David, Ilana Balassiano Strosberg, Ohad Regev, Mohamad Yihia, Niv Ben-Shabat, Dennis McGonagle, Orly Weinstein, Howard Amital, Abdulla Watad

“…Multivariable Cox regression models were used to assess hazard ratios (HR) for mortality, adjusting for demographic and clinical factors. …”
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The impact of drought on forest spring phenology in northern China by Haowen Hu, Pengcheng Xue, Shaodong Huang, Zong Wang, Nina Xiong, Liang Shi, Boyi Liang, Jia Wang

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Association Between Triglyceride–Glucose Index and Carotid Plaque Stability in Different Glycemic Status: A Single‐Center Retrospective Study by Guijun Huo, Jin Zheng, Junjie Cao, Lili Zhang, Zhichao Yao, Yuqi Zeng, Yao Tang, Zhanao Liu, Ziyi Tan, Dayong Zhou

“…In several different adjustment models, the TyG index is significantly related to the risk of unstable carotid plaque. …”
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Effects of Replacing Inorganic Sources of Copper, Manganese, and Zinc with Different Organic Forms on Mineral Status, Immune Biomarkers, and Lameness of Lactating Cows by Manqian Cha, Xingjun Ma, Yunlong Liu, Shengyang Xu, Qiyu Diao, Yan Tu

“…Repeated-measure mixed models were used to evaluate the effects on trace mineral status over time. …”
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Sleep quality during pregnancy following assisted reproductive technology and natural conceiving: a prospective birth cohort study by Yidong Xie, Yidong Xie, Ruoti Peng, Li Xiao, Li Xiao, Shangwei Li, Shangwei Li, Xiaohong Li, Xiaohong Li

“…Multivariable logistic regression models with adjustments for influencing factors were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the associations of sleep quality.ResultsIn the IVF/ICSI group, 61.1%, 55.5%, and 66.5% of participants in T1, T2, and T3 reported poorer sleep quality compared to the NC group, which had 43.2%, 37.4%, and 46.4% throughout the same trimesters. …”
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Perbandingan Algoritme Machine Learning untuk Memprediksi Pengambil Matakuliah by Fitra A. Bachtiar, Indra K. Syahputra, Satrio A. Wicaksono

“…In this study, predictions are modeled based on the attributes of student data, namely Grades, GPA, Cumulative GPA, Semester Credits, Cumulative Semester Credits and Semester. …”
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The association between self-acceptance, emotion regulation, and treatment adherence self-efficacy among adolescents with HIV in Liangshan prefecture, China: a cross-sectional stud... by Dan Tan, Wenxi Zhong, Li Ma, Jing Cheng, Xianjun Mao, Xi Zhang, Jian Tang, Song Fan, Bianchuan Cao, Yanhua Chen

“…Multiple linear regression models were employed to examine the relationships between demographic variables, self-acceptance, emotion regulation and treatment adherence self-efficacy. …”
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Types of electronic nicotine delivery systems (ENDS) used by people of different age and smoking status groups: results from a US nationally representative survey by Lucy Popova, Robert T Fairman, David L Ashley, Zachary B Massey, Bai Cham, Ruiyan Luo, Mohammed Alqahtani, Scott Weaver

“…Cigarette smoking status was also measured.Results We used weighted regression models to determine the association between ENDS device type current regular use and age group and the association between each ENDS type current regular use and smoking status separately for each age group. …”
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Fetal cardiac function in pregnancy affected by congenital heart disease: protocol for a multicentre prospective cohort study by Anna Erenbourg, Tracie Barber, Vera Cecotti, Stefano Faiola, Ilaria Fantasia, Tamara Stampaljia, Hagai Avnet, Beata Radzymińska-Chruściel, Neama Meriki, Alec Welsh

“…Differences in functional parameters between cases and controls and over time will be assessed using generalized linear mixed models. Logistic regression will estimate the association between cardiac parameters and hydrops’ incidence. …”
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Associations of PM2.5 with Chronic Obstructive Pulmonary Disease in Shipyard Workers: A Cohort Study by Nguyen Thanh Tung, Ching-Huang Lai, Chih-Hong Pan, Wei-Liang Chen, Chung-Ching Wang, Che-Wei Liang, Chi-Yu Chien, Kai-Jen Chuang, Huynh Nguyen Xuan Thao, Hoang Ba Dung, Tran Phan Chung Thuy, Hsiao-Chi Chuang

“…We conducted a cohort study with a follow-up of 4 years in 115 shipyard workers to investigate the incidence rate of chronic obstructive pulmonary disease (COPD), and to evaluate the effects of welding fume PM2.5 deposition on fractional exhaled nitric oxide (FeNO), lung function, and blood pressure using generalized estimating equation models. Personal exposure to welding fumes was measured, and deposition fractions of inhaled welding fume PM2.5 in lung regions were estimated using multiple-path particle dosimetry. …”
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Linear association between high-sensitivity C-reactive protein and postoperative delirium after general anesthesia: a cross-sectional study by Xiao Qin, Junming Ren, Chunping Xing, Lijiao Chen, Renjie Wang, Shouyuan Tian

“…Multivariate logistic regression confirmed that elevated Hs-CRP and its forms (Log10Hs-CRP, standardized Hs-CRP, and higher Hs-CRP group) consistently increased the risk of POD across all adjusted models (p < 0.05). Stratified analyses further highlighted significant associations between Hs-CRP and POD in specific subgroups, notably in patients aged ≥65 years, female patients, and those with or without hypertension, diabetes, or stroke history, and without chronic kidney disease (p < 0.05). …”
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Synthesizing Local Capacities, Multi-Source Remote Sensing and Meta-Learning to Optimize Forest Carbon Assessment in Data-Poor Regions by Kamaldeen Mohammed, Daniel Kpienbaareh, Jinfei Wang, David Goldblum, Isaac Luginaah, Esther Lupafya, Laifolo Dakishoni

“…By integrating multi-source optical and radar remote sensing data alongside community forest inventories, we applied a meta-modelling approach using stacked generalization ensemble to estimate forest above-ground carbon (AGC). …”
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