Radiographic evaluation of orodental anomalies in a Thai population: prevalence, supernumerary teeth characteristics, and associated factors by Anmol Fayez Anny, Kausar Sadia Fakhruddin, Rocharles Fontenele, Thantrira Porntaveetus

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Characteristics and influencing factors of red blood cell distribution width in peritoneal dialysis patients of different ages by ZHANG Qi, CAO Xue-ying, ZHOU Jian-hui, HUANG Jing, CAI Guang-yan, CHEN Xiang-mei

“…Objective Red blood cell distribution width(RDW) has been proven to be an independent predictor of mortality in chronic hemodialysis patients.This study aimed to explore the characteristics and influencing factors of the RDW in peritoneal dialysis patients.Methods The study enrolled 103 uremic patients on CAPD.Patients were categorized into three groups according to their age(patients in group 1 were under the age of 40;group 2:aged between 40 and 59;group 3:aged above60).The differences of clinical parameters among three groups were analyzed,and the influence of age and gender on RDW was analyze by multiple linear regression.Results The proportion of subjects with RDW value above 14.6%in female gender was higher than in male gender on the baseline,one month and three months after peritoneal dialysis(13.5%,15.4%,17.3%vs.9.8%,7.8%,13.7%).The baseline RDW of the group 3 was significantly higher than that of the other groups.Age was positively associated with the RDW on the baseline and one month after dialysis.The multiple linear regression analysis revealed that after the corresponding BMI adjusted,the baseline RDW was associated with female gender(β= 0.025,P<0.001,95%CI:0.001- 0.953) and increasing age(β= 0.025,P<0.001,95%CI 0.010- 0.040),and RDW at one month after dialysis was related to the increasing age(β= 0.015,P<0.05,95%CI 0.001- 0.029).After making further adjustments of hemoglobin,albumin and eGFR(or residual renal GFR),increasing age remained associated with RDW on the baseline(β= 0.027,P<0.001,95%CI 0.011- 0.042) and one month after dialysis(β=0.017,P<0.05,95%CI 0.003-0.031).Conclusions The influencing factors of RDW,and its mechanism of predicting dialysis patients’ prognosis are not clear.This study found that the elevated RDW was associated with age,which provides a new insight to improve the prognosis of the elderly patients in peritoneal dialysis.…”
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Emotional State Assessment and Related Risk Factors Screening in Health Management: A Case–Control Study by Dan Luo, Yubo Zheng, Wei Yang, Tianyu Meng, Yanping Ren, Jin Wang

“…Demographic characteristics, lifestyle factors, medical history, and psychological assessment data were analyzed, and risk factors for anxiety and depression were identified using multivariate logistic regression analysis. …”
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Clinical nurses’ evidence-based healthcare competence and associated factors: a regional cross-sectional study by Shuang Wang, Jin Liang, Xishun Zhang, Xia Xiang, Liqin Song, Xiaofen Wu, Lin Xiao, Zhihui Yang, Yuanyuan Luo, Qianying Huang, Xiaoxue Wei, Ning Wang, Lili Zhang

“…All the collected data were analyzed descriptively, and independent samples t-test, adjusted t-test, one-way ANOVA, Welch ANOVA, Pearson’s correlation test, and multiple linear regression were employed to explore the associated factors. …”
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Risk factors for minimal change nephrotic syndrome complicated by acute kidney injury in adults and their impact on prognosis by YU Yahuan, WANG Huifang, JIANG Chunhui, LI Xianyi, SUN Yuetong, LIU Xuemei

“…The clinical features of adult patients with MCNS complicated by AKI were analyzed, and the logistic regression model was used to identify the risk factors for AKI in adult patients with primary MCNS. …”
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TECHNOLOGY FOR CREATING THE TOPOLOGY OF PRINTED CIRCUIT BOARDS USING POLYMER 3D MASKS by Igor Nevliudov, Evgeny Razumov-Fryzyuk, Dmytro Nikitin, Danila Bliznyuk, Roman Strelets

“…To achieve this goal, it is necessary to solve the following tasks: to analyze photolithography technology and types of polymer 3D printing; to develop a technological process for exposing photopolymer masks to a printed circuit board blank using 3D printing technologies; to conduct experimental studies to determine the optimal exposure parameters; on the basis of the empirical results obtained, to calculate the correlation coefficients of the factors for recall; to construct a linear regression model of the dependence of the deviations of the geometric dimensions of the printed conductors on the parameters of solutions for etching and exposure conditions. …”
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Examining the competence status of nurses in evidence-based practices and the influencing factors: a multicenter study in Turkey by Gülistan Yurdagül

“…The data were analyzed using number, percentage, standard deviation, minimum, maximum, one-way analysis of variance (ANOVA), Tukey’s test to test which group the significance originated from, Student’s t-test and multiple regression tests. …”
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Association between anatomical risk factors and medial meniscus posterior root tears: a retrospective study by Nie Si, Li Hongbo, Gao Jingping, Huang Jiayu, Lan Min

“…The associations between clinical and anatomic factors and MMPRTs were analyzed. Additionally, a logistic regression analysis was performed to detect risk factors correlated with MMPRTs. …”
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Factors related to Post Traumatic Stress Symptoms in Indonesian adults during quarantine of the COVID-19 pandemic by Nadya Nathalia Evangelista, Felix Wijovi, Sisilia Orlin, Stella Angelina, Devina Adella Halim, Claudia Jodhinata, Audrey Hamdoyo, Darien Alfa Cipta, Andree Kurniawan, Nata Pratama Hardjo Lugito

“…The questionnaire was distributed through a link attached to the social media platform from 17 September to 5 October 2020. Data were analyzed using t-test, one-way ANOVA, and multiple linear regression using SPSS 25.0. …”
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Risk factors and predictive modeling in a US population with sarcopenia: a propensity score cohort study by Yao Sun, Shuguang Yang, Zengli Xiao, Youzhong An, Huiying Zhao

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Factors Determining Bone Mineral Density in Patients with Biliary Atresia after a Successful Kasai Operation by Ming-Huei Chen, Jiaan-Der Wang, Chia-Man Chou, Chieh-Chung Lin

“…Instead of T helper 1 cell cytokine, interleukin (IL)-4 had a significant negative correlation with BMD of the right femoral neck (β = −0.251, p = 0.027) and left femoral neck (β = −0.299, p = 0.012) independently by multiple linear regression analysis. Conclusion: We conclude that chronic inflammation with increased expression of IL-4 may be an important factor for compromised bone health in patients with biliary atresia.…”
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Mediation effect of peripheral blood inflammatory factors in the association between severity of nonlactating mastitis and glycemic abnormalities by Qi Dianchun, Lin Yiqi, Zhang Jiaxin, Wang Yiping

“…Multifactorial logistic regression was used to analyze the associations between the severity of NLM and glycemic abnormality and peripheral inflammatory factors , and a mediation model was used to explore the mediating roles of the levels of hs-CRP, WBC, and IL-6 in the associations between the two. …”
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Clinical features and risk factors for Epstein-Barr virus-associated encephalitis: a retrospective cohort study by Zhu Liu, Anjiao Peng, Luyan Huang, Leihao Sha, Yusha Tang, Yongzhao Zhou, Lei Chen

“…Data were extracted from the electronic medical record system and analyzed by Student’s t test, Mann-Whitney U test, chi-square test, and logistic regression analyses. …”
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The prevalence and behavioral risk factors contributing to non-communicable diseases in Bushbuckridge, Mpumalanga province, South Africa by Thabo D. Pilusa, Cairo B. Ntimana, Eric Maimela

“…The association between sociodemographic and lifestyle factors with predictors of behavioral risk factors for NCD was analyzed using binary regression analysis, and the statistical significance was set at a p-value of &lt;0.05.ResultsThe mean age of the study was 46.27 ± 13.38. …”
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Prediction of depressive disorder using machine learning approaches: findings from the NHANES by Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki

“…Traditional analysis methods often suffer from subjectivity and may not capture complex, non-linear relationships between risk factors. Machine learning (ML) offers a data-driven approach to predict and diagnose depression more accurately by analyzing large and complex datasets. …”
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Spatiotemporal Dynamics and Driving Mechanisms of Resource–Environment Carrying Capacity in the Yellow River Basin by Xin Xiang, Yi Xiao, Yongxiang Chen, Huan Huang

“…This study applied various methodologies, including Panel Vector Autoregression (PVAR), Geographically Temporally Weighted Regression (GTWR), and Random Forest, to analyze in the Yellow River Basin from 2011 to 2021. …”
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A GPT-Based Approach for Cyber Threat Assessment by Fahim Sufi

“…It utilizes a hybrid methodology combining spectral residual transformation and Convolutional Neural Networks (CNNs) to identify anomalies in time-series cyber event data, alongside regression models for evaluating the significant factors associated with cyber events. …”
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Efficiency of tray dryer moisture removal: Experimental and AI studies by A. Al-Haddad, T. Kikhavani, Seyyed Hosseini

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Climate change and crop yield of oats (Avena sativa L.) in Yakutia by L. V. Petrova, L. Yu. Novikova, A. V. Alekseeva, I. G. Loskutov

“…The objective of the study was to analyze weather and climate factors affecting oat yield in the republic during the past decade.Materials and methods. …”
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Analysis of Consumer Behavioral Factors Between Online Shopping and Physical Store Experience in the M-Commerce Era by Ovidiu-Aurel Ghiuță, Andreea Nistor

“…The collected data were analyzed using <i>t</i>-tests, Chi-square tests, and logistic regression to assess the influence of variables on online smartphone purchase intention.…”
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