Examining maternal and fetal outcomes across various subtypes of hypertension during pregnancy by Laith Alhuneafat, Fares Ghanem, Sneha Nandy, Sana Khan, Anushree Puttur, Ahmad Jabri, Alaq Haddad, Bhavadharini Ramu, Bethany Sabol, Jessica Schultz, Selma Carlson

“…Understanding the graded risk differences across HDP subtypes may enable more tailored interventions, optimizing maternal and fetal outcomes for those at highest risk.…”
Get full text

Chronic urticaria and vitamin D supplementations: a systematic review by Ayesha Siddiqui, Aruna Bai, Haresh Kumar, Yash Roop Mandhwani, Anjali Bai, Priya Bai, Neha kumar, F. N. U. Muskan, Sumaiya Jatoi, Zulfiqar Ali, Abida Parveen

“…Conclusion Vitamin D supplementation may serve as a safe, accessible adjunct to standard CU treatment, particularly for those with confirmed deficiency. While evidence suggests potential benefits, further high-quality RCTs are needed to establish causality, optimal dosing, and long-term efficacy.…”
Get full text

Association between advanced lung cancer inflammation index and distant metastasis in breast cancer: a retrospective cohort study by Xiao-dong Luan, Qian Ren, Ya-lin Zhang, Wen-hai Zhang, Chun-feng Liang, Si-zhi Liang, Zi-hao Liu, Yu-kun Liu

“…ObjectiveThis study aims to assess the relationship between the Advanced Lung Cancer Inflammation Index (ALI) and the risk of distant metastasis in breast cancer. While ALI is commonly used to evaluate the prognosis of lung cancer patients, its application in breast cancer and its correlation with distant metastasis are not well understood. …”
Get full text

The effect of training data size on real-time respiration prediction using long short-term memory model by Wenzheng Sun, Jun Dang, Lei Zhang, Qichun Wei, Chao Li, Ye Liu, Huang Jing, Kanghua Huang, Yuanpeng Zhang, Bing Li

“…Abstract Aim To investigate the optimal training dataset size (TDS) for respiration prediction accuracy using a long short-term memory (LSTM) model. …”
Get full text

Cesarean section diverticulum area predicting the intraoperative hemorrhage at suction curettage for cesarean scar pregnancy after focused ultrasound ablation surgery by Jun-rong Huang, Li-ya Sun, Ying Tang, Ming-bo Wen, Ming-tao Yang, Fan Xu, Qiuling Shi, Hui-quan Hu

“…Objectives To investigate the significance of the cesarean section diverticulum (CSD) area for predicting the intraoperative massive hemorrhage during suction curettage for cesarean scar pregnancy (CSP) after focused ultrasound ablation surgery (FUAS).Methods Data from 90 patients undergoing suction curettage after FUAS were collected. …”
Get full text

Spatiotemporal water quality data reconstruction: A tensor factorization framework by Xuke Wu, Kun Shan, Lan Wang, Jingkai Wang, Mingsheng Shang

“…However, missing data in water quality datasets remains a persistent challenge, often compromising the reliability of mathematical models and statistical analyses. While traditional imputation methods fail to adequately capture complex spatiotemporal dependencies among water quality variables, this study proposes a novel nonnegative tensor factorization (NTF) model designed to reconstruct missing values by effectively modeling variable-site-time triad interactions. …”
Get full text

Atmosphere-driven metal-support synergy in ZnO/Au catalysts for efficient piezo-catalytic hydrogen evolution by Di Wu, Yingxin He, Chi Lin, Bing Li, Jiangping Ma, Lujie Ruan, Yajie Feng, Chaogang Ban, Junjie Ding, Xiaoxing Wang, Danmei Yu, Li-Yong Gan, Xiaoyuan Zhou

“…Piezo-catalysis, which leverages mechanical energy to drive chemical reactions, is emerging as a promising method for sustainable energy production. While the enhancement of piezo-catalytic performance through metal-support interactions is well-documented, the critical influence of the synthesis atmosphere during metal-loaded piezo-catalyst preparation has been a notable gap in the field. …”
Get full text

Psychosocial experiences of prostate cancer survivors after treatment: a systematic review of qualitative studies by Junlian Xiang, Lifei Dai, Lifei Dai, Lin Tan, Dong Lv, Yongbo Chen, Liangyou Tang, Jiali Zhang, Xin Yi, Xiaoli Liu

“…Now requires integrated biopsychosocial rehabilitation beyond disease-focused treatment, comprehensive assessment of psychosocial adaptation and illness perception is essential for developing evidence-based, patient-centered rehabilitation strategies to optimize post-therapy recovery.ObjectiveThis study aims to systematically review and synthesize qualitative evidence on post-treatment psychosocial experiences in prostate cancer patients, thoroughly analyze patients’ lived experiences and coping strategies, and provide an evidence-based foundation for establishing a tiered psychosocial support system and developing clinical intervention protocols.MethodsThis systematic review followed the Joanna Briggs Institute (JBI) methodology for qualitative meta-aggregation, with reporting structured according to the ENTREQ statement. …”
Get full text

Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange by Mohammad Osoolian, Ali Nikmaram, Mahdi Karimi

“…Moreover, to further enhance the performance and resilience of the model, sophisticated feature engineering methodologies are implemented to optimize its overall functionality. ResultsThe results of the study reveal that while the hybrid neural network model, integrating CNN and LSTM components, demonstrates promising capabilities in predicting the TSE Composite Index, its accuracy falls short compared to competing models, particularly at weekly and monthly time scales. …”
Get full text

Current research and future prospects of air pollutant and CO2 emission inventories in the iron and steel industry by Xin XU, Wanyue SHAN, Zheng ZHANG, Qing WANG, Xin BO

“…In addition, establishing a comprehensive, unorganized emission accounting system and optimizing the CO2 accounting framework and methods are essential. …”
Get full text

Research on prediction model of adolescent suicide and self-injury behavior based on machine learning algorithm by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

“…ObjectiveTo explore the risk factors that affect adolescents’ suicidal and self-injurious behaviors and to construct a prediction model for adolescents’ suicidal and self-injurious behaviors based on machine learning algorithms.MethodsStratified cluster sampling was used to select high school students in Chongqing, yielding 3,000 valid questionnaires. …”
Get full text

Understanding the causes and consequences of low statin adherence: evidence from UK Biobank primary care data by Deniz Türkmen, Xiaoran Liang, Jane A. H. Masoli, Dipender Gill, Luke C. Pilling, Jack Bowden

“…For 13,000 patients with ≥ 3 LDL-c measures, we used inverse probability of treatment weighting methods to estimate the effect of sustained adherence intervention on LDL-c reduction longitudinally. …”
Get full text

Epidemiological characteristics of invasive meningococcal disease and carriage prevalence of Neisseria meningitidis in the Xinjiang Uygur Autonomous Region, China, 2004–2023: a ret... by Halimubieke Nazhaerbieke, Wenhui Fu, Zhaoguo Lan, Yesitai Muheiyati, Tian Tian, Caipilima Wuqierjiafu, Na Xie

“…Methods Epidemiological characteristics were analyzed using descriptive epidemiological methods. …”
Get full text

Assessment of predictors and mitigation strategy for therapeutic inertia in the management of hypertension: a quality improvement project by Ananyan Sampath, Shreya Deshpande, Rashmi Verma, Rajnish Joshi

“…Introduction: Hypertension remains a leading cause of global morbidity and mortality, with prevalence exceeding 1.4 billion and rising, particularly in low–middle income countries (LMICs).1,2 Despite extensive guidelines, therapeutic inertia (TI) impedes optimal blood pressure (BP) control, contributing to poor outcomes.3 Hypertension prevalence in India is rising, but awareness, treatment and control lag due to patient factors, poor health awareness, clinical latency and physician prescribing behavior, leaving over 90% of patients with uncontrolled BP.4 Materials and methods: This facility-based cross-sectional study used a quality improvement approach to assess TI in hypertension management. …”
Get full text

Effects of sleep deprivation on heart rate variability: a systematic review and meta-analysis by Suling Zhang, Xiaodan Niu, Jinke Ma, Jinke Ma, Xin Wei, Xin Wei, Jun Zhang, Jun Zhang, Weiping Du

“…However, existing studies exhibit considerable heterogeneity due to inconsistencies in HRV measurement methods, variations in deprivation duration, and inadequate control of confounding factors.ObjectiveThis study aimed to comprehensively evaluate the impact of sleep deprivation on HRV through a systematic review and meta-analysis of randomized controlled trials (RCTs), to elucidate the potential mechanisms underlying sleep deprivation-induced cardiac autonomic dysfunction, and to provide insights for optimizing sleep-related interventions and preventing cardiovascular disease.MethodsA systematic search was conducted in PubMed, Embase, CNKI, Wanfang, and VIP databases for RCTs investigating the effects of sleep deprivation on HRV, covering the period from January 2010 to May 2024. …”
Get full text

Perinatal outcomes following nonadherence to guideline‐based screening for gestational diabetes: A population‐based cohort study by Elizabeth Nethery, Kelly Pickerill, Luba Butska, Michelle Turner, Jennifer A. Hutcheon, Patricia A. Janssen, Laura Schummers

“…Abstract Introduction The optimal approach for gestational diabetes mellitus (GDM) screening remains controversial. …”
Get full text

Finite element analysis of short-segment fixation combined with expandable polyetheretherketone vertebral body replacement in osteoporotic vertebrae by Long Chen, Xiaozhen Wang, Markus Kröber, Elhassan Abdelmonem, Xuan Wan

“…Methods Finite element analysis (FEA) was conducted to evaluate the biomechanical performance of T12 vertebral body replacement. …”
Get full text

Life cycle assessment of biomass waste briquettes as renewable energy by M.N. Rashif, S. Hartini, D.P. Sari, B.S. Ramadan, T. Matsumoto, A.T. Balasbaneh

“…This study sought to ascertain the ideal mixture of briquettes derived from biomass waste, particularly corncobs, burnt corncobs, burnt rice husks, and polypropylene waste, by analyzing their chemical characteristics and the associated environmental effects.METHODS: This experimental design was selected to determine the optimal combination of materials for producing high-quality briquettes. …”
Get full text

Exploring Visceral Fat as a Screening Marker for Cardiometabolic Risk in Children and Adolescents by Xia Wang, Hong Cheng, Jingfan Xiong, Junting Liu, Hongbo Dong, Liwan Fu, Xiangjun Xie, Xinying Shan, Xiaoyuan Zhao, Yinkun Yan, Pei Xiao, Jie Mi

“…In girls, the 75th percentile was optimal for screening hypertension, dyslipidemia, and CMR clustering, while the 80th percentile proved best for hyperglycemia. …”
Get full text

Data-driven soil salinization mapping: risk prediction and uncertainty quantification based on Bayesian inference by Yujian Yang, Ying Zhao, Rongjiang Yao, Xueqin Tong

“…High EC values corresponded to specific regions, while low EC values were consistent across both methods. …”
Get full text