DETERMINATION OF DENTAL AGE OF 10-13 YEAR-OLD CHILDREN OF THE CARPATHIAN REGION OF UKRAINE BY THE CAMERIERE METHOD IN COMPARISON WITH THEIR CHRONOLOGICAL AGE by V.F. Makieyev, O.O. Isakova

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An investigation of post-stroke fatigue levels and influencing factors in young and middle-aged stroke patients: a cross-sectional study by Jing Kang, Xiaojun Zhao, Zixiu Zheng, Yuehong Tian, Wanying Tian, Xingyu Miao

“…The general situation questionnaire, Modified Rankin Scale (mRS), Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), Pittsburgh Sleep Quality Index (PSQI) and Stroke Specific Quality of Life Scale (SS-QOL), Chronic Disease Self-efficacy Scale (CDSES) were used to investigate and study them. A logistic regression model was established and stratified analysis was conducted to explore the factors influencing PSF in young and middle-aged patients. …”
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Predicting and analyzing ferry transit delays using open data and machine learning by Malek Sarhani, Abtin Nourmohammadzadeh, Stefan Voß, Mohammed EL Amrani

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Massive pulmonary hemorrhage and severe retinopathy of prematurity in very low birth weight infants by Na Young Lee, Hyun Young Lee, Shin Hae Park, In Kyung Sung, YoungAh Youn

“…Massive pulmonary hemorrhage was consistently associated with severe ROP in our logistic regression analysis. Severe ROP group was significantly related to increased hospital morbidities and mortality. …”
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Association between healthcare resources, healthcare systems, and population health in European countries by Cholada Kittipittayakorn

“…The healthcare systems in these countries are primarily categorized into two types: Beveridge-type and Bismarck-type. In addition to regression analysis, descriptive statistics were used to analyze the allocation patterns of healthcare resources. …”
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Human population, economic activities, and wild bird conservation in Mexico: factors influencing their relationships at two different geopolitical scales by Xavier López-Medellín, Adolfo G. Navarro-Sigüenza, Gerardo Bocco

“…Using factor analysis, we identified the biodiversity-rich geopolitical units that have a large human population and are developing intense economic activities. …”
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Evaluating energy sustainability and causal impact of belt and road initiatives (BRI) in energy-deficient Asian countries by Abdullah Bin Omar, Gang Zeng, Leila N. Salykova

“…The study aims to aid in filling this gap by analyzing the causal effect of BRI initiatives through an investigation of how BRI-related factors—FDI, economic growth, urbanization, trade openness, human capital, and infrastructure development—affect energy sustainability. …”
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Establishment of an evaluation system for conversion to laparotomy in laparoscopic cholecystectomy and exploration of surgical grading management by ZHANG Nannan, GUO Jinxing, WU Gang, YI Hui, ZHOU Yuanhang, LIAO Zhiwei, HUANG Qi, DONG Jian

“…Then, the risk factors were analyzed by multiple Logistic regression, and the pre-coefficient of each variable of the risk factors was assigned according to the established conversion to laparotomy possibility function. …”
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Machine Learning Approach for Assessment of Compressive Strength of Soil for Use as Construction Materials by Yassir M. H. Mustafa, Yakubu Sani Wudil, Mohammad Sharif Zami, Mohammed A. Al-Osta

“…Validation was conducted using data from four types of locally available soils in the Najd region of Saudi Arabia, although some disparities were noted between actual and predicted results due to limitations in the training data. The analysis indicates that, for unstabilized soil, grain size distribution and moisture content during testing are primary influencers of strength, whereas, for stabilized soil, factors such as stabilizer type and content, as well as density and moisture during testing, are pivotal. …”
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Prospective Study on Tooth Loss and Risk of Esophageal Cancer Among Residents of A Natural Village in Wenfeng District, Anyang City, Henan Province by Jingjing WANG, Ruihua XU, Yanfang ZHANG, Xueke ZHAO, Qiang ZHANG, Xin SONG, Mengxia WEI, Junfang GUO, Xuena HAN, Yaru FU, Bei LI, Junqing LIU, Lingling LEI, Min LIU, Qide BAO, Lidong WANG

“…Significant statistical difference was found between esophageal cancer patients with and without tooth loss (P<0.05). Logistic regression analysis showed that tooth loss was associated with the occurrence of esophageal cancer (OR=3.977, 95%CI: 1.543-10.255). …”
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Association between timing of surgery and refracture after initial osteoporotic fractures by Zhujie Xu, Peng Wang, Yang Qiu, Yi Liu

“…Further binary logistic regression and Cox proportional hazard regression both indicated that the interval from fracture to surgery, pain level, and age were independent risk factors for refracture. …”
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Investigating the Effects of Urban Sprawl on Carbon Distribution Using AHP-TOPSIS and MGWR Models by Seyed Reza Mousavi, Monire Mahmoudi Holasoo, Mehdi Shah Mohammad, Samira Heydari

“…Leveraging a comprehensive methodological framework, this study combines descriptive analysis, the Analytic Hierarchy Process (AHP), the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Multiscale Geographically Weighted Regression (MGWR). …”
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Incidence, risk factors, and clinical implications of enfortumab vedotin-related cutaneous toxicity in urothelial carcinoma: a large-scale, real-world study in Japan by Y. Kita, T. Hara, T. Kawahara, K. Hashimoto, Y. Matsushita, H. Ito, T. Abe, A. Igarashi, S. Shimura, T. Sazuka, A. Yokomizo, N. Takaoka, M. Kato, T. Hazama, M. Miyake, Y. Sugino, J. Mutaguchi, A. Takahashi, Y. Shiraishi, S. Tatarano, Y. Takai, T. Mochizuki, S. Nakanishi, K. Mori, T. Yoshida, T. Hayashi, H. Otsuka, T. Anami, K. Okasho, K. Daizumoto, M. Kobayashi, I. Kobayashi, J. Watanabe, N. Nishiyama, T. Shibuya, Y. Matsui, H. Nishiyama, H. Kitamura, T. Kobayashi

“…Materials and methods: Data from 207 la/mUC patients treated with EV, mainly as a third-line therapy between 2020 and 2023, were analyzed. Multivariate logistic regression and propensity score matching (PSM) were used to assess the risk factors and impact of EVRCTs on patient overall survival (OS) and progression-free survival (PFS). …”
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Difficult-to-treat rheumatoid arthritis: predictors and prevention possibilities (analysis of the Moscow unified register of arthritis data) by E. V. Zhilyaev, G. V. Lukina, E. N. Koltsova, E. I. Schmidt, K. A. Lytkina, I. V. Pozharov

“…From the indicators that demonstrated significant differences between the groups, significant independent predictors of difficult-to-treatstate were identified within the linear-logistic regression model by forward stepwise selection. Data describing preceding treatment were analyzed within the framework of a multifactorial linear logistic model with included selected independent predictors of achieving difficult-to-treat state (resistance to treatment).   …”
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Perampanel as Add-on in Patients Aged ≥ 12 Years with Focal Epilepsy: A Prospective Real-World Observational Study from Southern China by Xiaoli Shi, Xiangru Lu, Lixia Li, Yanting Lu, Lang Shen, Jinou Zheng, Yuan Wu, Lu Yu

“…Patients received PER as add-on therapy, with medication adjustments, seizure frequency and adverse events (AEs) monitored at 3, 6, 9 and 12 months. Logistic regression analyzed factors influencing 6- and 12-month treatment outcomes. …”
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Clinical Characteristics and Predictive Features of Neonates With Treatment‐Needed Retinopathy of Prematurity: A Retrospective Cohort Study by Nasser Shoeibi, Fereshteh Raoufi, Majid Abrishami, Seyedeh Maryam Hoseini, Mohammad‐Reza Ansari‐Astaneh, Mojtaba Abrishami, Ghodsieh Zamani, Elham Bakhtiari, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Nasibe Zare Shahneh, Mehrdad Motamed Shariati

“…Probable neonatal and maternal risk factors for the need for treatment were analyzed. …”
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Description and Preferences of Tarsier (Tarsius supriatnai) Nest Trees in Nantu Wildlife Reserve, Gorontalo by Terri Repi

“…Moreovr, the Neu index was applied to determine nest preferences and multiple linear regression analysis was used to analyze the factors influencing nest tree selection. …”
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Prognostic value of blood inflammatory composite markers in the survival of pediatric patients with secondary hemophagocytic lymphohistiocytosis by Nandu Luo, Nandu Luo, Nandu Luo, Xin Xie, Xin Xie, Xin Xie, Yan Chen, Yan Chen, Yan Chen, Zuochen Du, Zuochen Du, Zuochen Du, Pei Huang, Pei Huang, Pei Huang

“…ObjectiveThis study aimed to explore the prognostic value of blood inflammatory composite markers in the survival of pediatric patients diagnosed with secondary hemophagocytic lymphohistiocytosis (sHLH).MethodsClinical data from 138 newly diagnosed sHLH patients hospitalized between January 2012 and October 2023 were analyzed. Receiver operating characteristic curve analysis was used to determine cutoff values and evaluate predictive accuracy, while Cox regression analysis was employed to identify prognostic factors.ResultsThe median age of the 138 sHLH patients was 38 months, with a female-to-male ratio of 0.92. …”
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Constructing a Predictive Model to Evaluate the Risk of CHD Based on New Metabolic Indicators by Wang W, Du Z, Xie P

“…The least absolute shrinkage and selection operator (LASSO) regression model and multivariate logistic regression were performed to analyze the risk factors of CHD and develop a CHD risk predictive model using R software.Results: A total of 3741 individuals were included and 160 (4.3%) individuals had CHD. …”
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Knowledge, attitude, and practice of frailty management among clinical nurses: a cross-sectional study by Xueyan Huang, Haifang Zhou, Ying Feng, Mengchi Li, Rui Wang, Ge Fang, Lumeng Lu, Jian’ao Chen, Wenhui Jiang

“…The survey instruments included a questionnaire inquiring about the knowledge, attitudes, and practices of nurses in terms of frailty management, a demographic data form, and a self-designed frailty educational information questionnaire. Data were analyzed by descriptive statistics, univariate analysis, multiple linear regression, and structural equation modeling. …”
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