Spatial pattern and heterogeneity of green view index in mountainous cities: a case study of Yuzhong district, Chongqing, China by Aiping Gou, Xuyuan Wang, Jiangbo Wang, Chenjie Wang, Guanzheng Tan

“…Deep learning algorithms were employed to calculate the green visibility of street view images, and Geographic Weighted Regression (GWR) and the Optimal Parameter-Based Geodetector (OPGD) were utilized to analyze the relationships between GVI and factors such as road physical attributes, the Normalized Difference Vegetation Index (NDVI), and topographic features. …”
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The current status, trends, and challenges of Alzheimer’s disease and other dementias in Asia (1990–2036) by Ziyang He, Ziyang He, Haoqin Zhang, Haoqin Zhang, Guishan Hu, Yinan Qiao, Can Yin, Jianqiao Li, Hong Lin, Anguo Wu, Dalian Qin, Betty Yuen-Kwan Law, Guangqiang Hu, Lu Yu

“…Joinpoint regression analysis was performed to assess the trends during this period, while the Autoregressive Integrated Moving Average (ARIMA) model was employed to predict future trends. …”
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Estimated small dense low-density lipoprotein-cholesterol and the risk of kidney and cardiovascular outcomes in diabetic kidney disease by Qing Yang, Yutong Zou, Yanlin Lang, Jia Yang, Yucheng Wu, Xiang Xiao, Chunmei Qin, Yuancheng Zhao, Fang Liu

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Knowledge, Utilization, and Associated Factors of Nonpneumatic Antishock Garments for Management of Postpartum Hemorrhage among Maternity Ward Health Care Professionals in South Wo... by Wondimnew Gashaw Kettema, Zenebe Tefera Ayele, Mandefro Assefaw Geremew, Kibir Temesgen Assefa, Sindu Ayalew Yimer, Atrsaw Dessie Liyew, Besfat Berihun Erega, Eyaya Habtie Dagnaw

“…EPI-Info and SPSS were used for data entry and analysis, respectively. Bivariable and multivariable logistic regression analyses were used to analyze the association of nonpneumatic antishock garment utilization with independent variables. …”
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Relationship between Mildly Elevated NT-proBNP Levels and Heart Failure Stages in the Elderly by Rana A. Hallak, Ahmed Alakedi, Mona Kardus, Ebtihal Al Amoudi, Ameerah Munassar, Mary Jaison, Hussein Zayed, Mohammed Jabal, Arwa Al Shatiri, Fahad Al Mubarak, Adel Saad, Rama Sarraj, Jawa Sarraj

“…Gender, cardiac symptoms, and other risk factors were observed to be significantly linked with NT-proBNP levels in multiple linear regression analysis. …”
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The burden of carbon monoxide poisoning in China from 1990 to 2021 and forecasts to 2050 by Yanwu Yu, Jinzhou Yu, Ding Yuan, Fang Yang, Hongyi Yan, Pin Jiang, Mengnan Guo, Zhigao Xu, Gaiqin Yan, Yan Zhang, Yanxia Gao

“…AimThis study aimed to analyze the disease burden of carbon monoxide poisoning (COP) in China from 1990 to 2021 and to forecast future trends.MethodsData were retrieved from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021. …”
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Machine Learning-Based Mortality Risk Prediction Model in Patients with Sepsis by Zhang Y, Li C, Ji Y, Wei B, Guo S, Mei X, Wang J

“…Data collected included patient demographics, vital signs, laboratory parameters, disease-related scores, major comorbidities, and the 28-day mortality. Variables were analyzed using univariate analysis and LASSO regression, and the machine learning model was constructed using R statistical software and validated internally via bootstrap resampling and calibration curves.Results: The model identified seven significant variables: SOFA, APACHE II, MAP, ALB, PCT, LTB, and VEGF. …”
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Prognostic biomarkers in treatment-naïve central retinal vein occlusion with macular edema by Yu Song, Qian Wang, Yu Du, Hong Tian, Yangyang Xu, Rui Min Chen, Shancheng Si

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Developing an Individual Neurosurgical Strategy in Patients With a Two-Level Cervical Degenerative Disc Disease by V. A. Byvaltsev, A. A. Kalinin, M. A. Aliev, B. M. Aglakov, V. V. Shepelev, A.  V. Kukharev, N. O. Azhibekov, E. E. Satardinova, I. E.  Komogortsev

“…After this analysis, we built a mixed effects logistic regression model to identify and assess the impact of various risk factors on poor clinical outcomes in each intervention.Results: TDA correlated with favorable outcomes in patients with cervical lordosis over 12 °; I–III grade IVD changes according to Pfirrmann scale; I–II grade facet joints (FJ) changes according to Pathria criteria; no FJ tropism; segmental movements amplitude > 8 °; interbody space height ≤ 6 mm, and with no central spinal stenosis/spine interventions. …”
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Comparison of oral chronic graft-versus-host disease characteristics between patients with malignant and non-malignant hematopoietic disorders by Qiaozhi Jiang, Guocheng Mei, Xiangzhi Yong, Zhenmin Liu, Yuxi Zhou, Tiantian Wu, Yan Peng, Xinyu Chen, Jiaqi Huang, Zhongming Zhang, Renchuan Tao

“…The severity of oral cGVHD was scored, and logistic regression analysis was employed to identify risk factors for oral cGVHD (n = 261). …”
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Does weightbearing status impact mortality and other complications in hip fracture patients when accounting for frailty? by Makoa Mau, Tyler Thorne, Kai Rossbach, Eleanor H. Sato, Chong Zhang, Angela P. Presson, Justin M. Haller

“…Methods: The National Surgical Quality Improvement Program (NSQIP) database January 2016 to December 2020 was queried for operatively treated hip fractures in patients aged ≥ 60 years using Current Procedural Terminology (CPT) codes (n = 53,959). Logistic regressions and receiver operating characteristic (ROC) curve analysis were conducted to determine the frailty measure which best predicts 30-day mortality among American Society of Anesthesiologists grade (ASA), five-factor modified Fraility Index (mFI-5), and Risk Analysis Index Recalibrated Version (RAI-Rev). …”
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Predictive Potential of CRTP5 and SII for Coronary Artery Severity and Myocardial Fibrosis in Patients with NSTE-ACS: An Exploratory Biomarker Study by Ji J, Qiao M, Ding Y, Wei X, Wan D, Wu L, Liu H

“…Clinical data were collected and analyzed. Multifactorial logistic regression analysis was applied to identify factors influencing coronary artery lesions in patients with NSTE-ACS. …”
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Financial Sustainable Growth System 2030 Evidence from Russian and Chinese Gas Companies by A. N. Steblyanskaya, Zhen Wang, G. B. Kleiner, Z. V. Bragina, A. R. Denisov

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Study on the spatio-temporal evolution and multi-scale influencing factors of digital technology innovation: A case study of 41 cities in the Yangtze River Delta(数字技术创新的时空演进与多尺度影响因... by 李云霞(LI Yunxia), 高世杰(GAO Shijie), 李羚锐(LI Lingrui)

“…There is no obvious trend of multidimensional polarization. (2) The spatial Markov chain analysis shows a "club convergence" phenomenon in the dynamic regional change of digital technological innovation within the Yangtze River Delta region. (3) The multi-scale geographically weighted regression model shows that the degree of openness to the outside world and the level of logistics development have small spatial scales and are local factors, while the industrial structure, the level of infrastructure, environmental regulation, and employment structure are global factors. …”
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Analysis of the association between adolescent physical activity and life satisfaction: a systematic review and meta-analysis by Jinchao Gao, Yuyang Nie, Mingming Guo, Weiqiang Tang, Guofeng Qu, Xishuai Wang, Fangbing Zhou, Wenxue Ma, Wentao Qiu, Wenlei Wang, Cong Liu

“…In these studies, 24 employed Pearson’s correlation coefficient, 12 utilized standardized coefficients, and 5 conducted logistic regression analysis, involving a total of 1,065,560 participants. …”
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Analysis of the determinants of innovation in enterprises in Kazakhstan by A. S. Nurbatsin, A. A. Kireyeva

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Prognostic Analysis of Duodenal Gastrointestinal Stromal Tumors by Liwen Hong, Tianyu Zhang, Yun Lin, Rong Fan, Maochen Zhang, Mengmeng Cheng, Xiaolin Zhou, Juntao Sun, Peijun Sun, Qiangqiang Wu, Lei Wang, Zhengting Wang, Jie Zhong

“…Cox multivariate regression analysis revealed that Ki-67 index was an independent prognostic factor affecting DFS and OS (P=0.007 and 0.028, resp.). …”
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Analysis of malignancy predictors for follicular thyroid tumors by Zorić Goran V., Nikolić-Đurović Marina M., Paunović Ivan R., Diklić Aleksandar D., Bukumirić Zoran M., Slijepčević Nikola A., Taušanović Katarina M., Odalović Božidar A., Jovanović Milan D., Živaljević Vladan R.

“…The most important demographic and clinical characteristics were analyzed by univariate and multivariate logistic regression analysis. …”
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A cross-sectional study on the knowledge, attitude and practice of ICU nurses to ICU acquired weakness in grade-A tertiary hospitals in Beijing (北京市三甲医院ICU护士对ICU获得性衰弱的知信行现况调查及影响因素分... by KUANG Lu (旷璐), SHAO Xin (邵欣)

“…The results of multiple stepwise regression analysis showed that the influencing factors of knowledge about ICU-AW were professional titles and the educational level(R2=0. 062, △R2=0. 117); The influencing factors of attitude towards ICU-AW was self-evaluation of the degree of mastery of knowledge related to ICU-AW (R2=0. 062, △R2=0. 117); The influencing factors of practice of ICU-AW was working years (R2=0. 061, △R2=0. 102). …”
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Statistical Analysis of the Labor Force of the Arkhangelsk Oblast by Abdullaev Elvin Akhmed oglu

“…The methodological basis of the study is general scientific statistical methods of data analysis: absolute and relative statistical indicators, series of dynamics, correlation and regression analysis. …”
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