Determinants of incomplete immunization among 12-23 months old children in Ethiopia: A multilevel analysis. by Sofiya Ayalew Kebede, Yawkal Tsega, Niguss Cherie, Asressie Molla, Chad Stecher

“…STATA version 17.0 statistical software was used to manage and analyze data. Multilevel binary logistic regression analysis was conducted. …”
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Machine learning models for diagnosing lymph node recurrence in postoperative PTC patients: a radiomic analysis by Feng Pang, Lijiao Wu, Jianping Qiu, Yu Guo, Liangen Xie, Shimin Zhuang, Mengya Du, Danni Liu, Chenyue Tan, Tianrun Liu

“…The diagnostic efficacy and clinical utility of the models were assessed using ROC curves, calibration curves, and Decision Curve Analysis (DCA). Results This study analyzed 693 lymph nodes (302 positive and 391 negative) and identified 35 significant radiomic features through dimensionality reduction and selection. …”
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Adolescent loneliness as a predictor of adult obesity: a longitudinal analysis from the HUNT study, Norway by Vegar Rangul, Marte Brennsaeter, Trine Tetlie Eik-Nes, Kirsti Kvaløy, Julie Friis

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High expression of DGKA indicates poor overall survival of nasopharyngeal carcinoma by Hao Chen, Runduan Lin, Qi Yuan, Xiaohang Gao, Lin Zhang, Rong Zhang

“…Univariate and multivariate Cox regression analyses were used to identify the independent prognostic factors. …”
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Type VII secretion system gene mutations driving global mycobacterium tuberculosis transmission revealed by whole genomic sequence by Jian-Jun Yang, Jian-Jun Yang, Yuan-long Hu, Ping-yi Sun, Ling Wang, Xian-Jin Xie, Ting-Ting Wang

“…These SNPs were then subjected to univariate and multivariate logistic regression analysis to determine the significance of each SNP. …”
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Borohydride Synthesis of Silver Nanoparticles for SERS Platforms: Indirect Glucose Detection and Analysis Using Gradient Boosting by Viktoriia Bakal, Olga Gusliakova, Anastasia Kartashova, Mariia Saveleva, Polina Demina, Ilya Kozhevnikov, Evgenii Ryabov, Daniil Bratashov, Ekaterina Prikhozhdenko

“…Machine learning classification and regression models based on gradient boosting were employed to analyze SERS spectra, enhancing the accuracy of quantitative predictions (R² = 0.971, accuracy = 0.938, limit of detection = 0.66 mM). …”
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Integrative Analysis of Traditional and Cash Flow Financial Ratios: Insights from a Systematic Comparative Review by Dimitra Seretidou, Dimitrios Billios, Antonios Stavropoulos

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Machine learning-based predictive model for acute pancreatitis-associated lung injury: a retrospective analysis by Zhaohui Du, Qiaoling Ying, Yisen Yang, Huicong Ma, Hongchang Zhao, Jie Yang, Zhenjie Wang, Chuanming Zheng, Shurui Wang, Qiang Tang

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Spousal Concordance in Overweight and Obesity among Indian Couples: A Nationwide Analysis of Socioeconomic and Dietary Determinants by Prashant Kumar Singh, Lucky Singh, Shashi Kala Saroj, Chandan Kumar, Shekhar Kashyap, Shalini Singh

“…Understanding the shared risk factors within couples is crucial for effective intervention. …”
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Cross sectional analysis of bone mineral density and diet balance index in preschool children in Bengbu, Anhui, China by Li Zhang, Wanyue Xue, Chaowei Sun, Rongrong Li, Xiaoqing Li, Li Shu

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Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis by Zhi-xiang Zhang, Yi-lin Cao, Chao Chen, Lin-yuan Wen, Yi-ding Ma, Bo-zhou Wang, Ying-zhe Liu

“…In this study, machine learning (ML)-assisted regression modeling was conducted to predict the thermal decomposition temperatures and explore the factors that correlate with the thermal stability of energetic materials (EMs). …”
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Risk of long-term infection-related death in clinical osteoporotic vertebral fractures: A hospital-based analysis. by Ying-Chou Chen, Wei-Che Lin

“…Cox regression was used to analyze the factors associated with life-threatening infections.…”
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Magnitude, temporal trend and inequality in burden of neck pain: an analysis of the Global Burden of Disease Study 2019 by Fengshuo Xu, Xiangdong Zhang, Meng Yang, Qi Zhao, Qiusheng Wang, Jie Lian, Rong Zhang, Tianyun Chu, Zhaoxi Kou, Mingyu Zhao

“…Methods An assessment of incidence and years of life with disability (YLD) at the global, regional, and country levels by age, sex and year was conducted for NP. Joinpoint regression (JPR) was used to analyze trends between 1990 and 2019. …”
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Influence of Public Bus Driver’s Driving Behaviors on Passenger Fall Incidents: An Analysis Using Digital Tachograph Data by Harim Jeong, Wonil Park, Jaeyoung Lee, Sungho Park, Ilsoo Yun

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Hierarchy hurts: a comparative cross-sectional analysis of empathy and its determinants in medical, midwifery, and nursing students by Lena Maria Weber, Lena Bauer, Amand Führer

“…The authors analyzed the data using multiple linear regression models, controlling for relevant confounders. …”
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Emotional drivers of sustainable AI adoption: A sentiment analysis of early user feedback on the deepSeek app by Md Shamim Hossain

“…This study explores early user sentiment toward DeepSeek, a newly launched generative AI model, to understand emotional factors influencing sustainable AI adoption. A dataset of 14,057 English-language reviews from the Google Play and Apple App Stores was analyzed using VADER for sentiment classification and the NRC lexicon for emotion detection. …”
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Early-life management practices and their association with dairy herd longevity, productivity, and profitability by Gabriel M. Dallago, Daniel Warner, Elsa Vasseur

“…Our results highlight that early-life management practices are linked with herd longevity, productivity, and profitability, but further research is needed to understand the underlying factors contributing to these associations and to guide dairy farmers in making informed management decisions.…”
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SURVIVAL ANALYSIS IN THE CHILDREN WITH SEVERE THERMAL INJURY TRANSFERRED TO THE HOSPITAL WITHIN THE FIRST 72 HOURS AFTER THE INJURY by A. U. Lekmanov, D. K. Azovskiy, S. F. Pilyutik

“…The patients were admitted to the intensive care wards of Speransky Children Municipal Clinical Hospital no.9, during the first 72 hours after thermal injury for the period from January 1, 2009 to December 31, 2017.The survival was analyzed using the log-rank test, Kaplan – Meier curves, and Cox regression analysis, and the results demonstrated the significance of the number of factors: early transfer of pediatric patients to a special unit, thermal inhalation injuries, ≥ 12 scores as per ABSI scale, and female gender. …”
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Analysis of the inflammatory storm response and heparin binding protein levels for the diagnosis and prognosis of sepsis-associated encephalopathy by Dian Yu, Jun Liu, Xiaoyun Song, Yongfeng Ao, Xiaomin Li, Yi Han

“…In addition, the GCS score and serum cholinesterase levels in the SAE group were lower than in the non-SAE group (P < 0.05). Subsequently, Multi-factor logistic regression analysis revealed that ultra-high IL-6 (> 5000 pg/ml), IL-10 (> 1000 pg/ml), and HBP (> 300 ng/ml) levels and elevated SOFA and APACHE-II scores were risk cytokines for the development of SAE (P < 0.05). 28-day mortality was significantly higher in patients in the SAE group and in the IL-6 > 5000 pg/ml group compared to patients in the USAE and IL-6 < 5000 pg/ml groups(P < 0.001).The four screened predictors of HBP > 300 ng/ml, IL-6 > 5000 pg/ml, decreased GCS score, and decreased APACHEII score were combined into a new predictive data model (risk score).In the SAE group, patients with high risk scores had a higher 28-day mortality rate compared with the low risk score group (P < 0.001). …”
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Analysis on the prevalence and temporal trends of adverse birth outcomes among neonates in Shanghai from 2010 to 2023 by Yongfa Qin, Jia Zhao, Yiyuan Li, Jing Chen, Yin Dai, Hui Li, Tao Zhang, Zhe Sun, Ying Lu, Xue Han

“…The prevalence of adverse birth outcomes (including preterm birth, low birth weight, small for gestational age, and birth defect) was calculated. Joinpoint regression analysis was conducted to estimate the temporal trends and calculate the Average Annual Percentage Change (AAPC) and Annual Percentage Change (APC) of adverse birth outcomes and AMA. …”
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