The mediating role of social support in self-management and quality of life in patients with liver cirrhosis by Ying Zhang, LeYao Xiao, Qian Liu, XinYi Zhang, MingDan Li, YaLi Xu, Mei Dai, Fei Zhao, YouShu Shen, Jordan Tovera Salvador, Ping Yang

“…Data were analyzed using SPSS and PROCESS software. (1) Patients in the decompensated stage of liver cirrhosis and those classified in Child–Pugh class B/C had lower scores in self-management, quality of life, and social support compared to patients in the compensated stage of liver cirrhosis and those classified in Child–Pugh Class A. (2) Quality of life was positively correlated with both social support and self-management (r = 0.668, r = 0.665, both P < 0.001). (3) Mediation analysis showed that self-management had a direct predictive effect on quality of life. Social support had a mediating effect between self-management and quality of life, with an indirect effect of 0.489 (95% CI: 0.362, 0.629), accounting for 40.58% of the total effect. (4) Exercise frequency and malnutrition risk assessment were independent influencing factors for social support, self-management, and quality of life. (5) In the regression model, after excluding confounding factors, Model I explained 14% of the variance in quality of life due to control variables, Model II explained 49.5%, and when social support was added, Model III explained 56.9% of the variance in quality of life. …”
Get full text

Hydrogen and hydrogen sulphide in volcanic gases: abundance, processes, and atmospheric fluxes by Aiuppa, Alessandro, Moussallam, Yves

“…The high H$_{2}$ concentrations (and low H$_{2}$S/SO$_{2}$ compositions, of ${\sim }$0.1 on average) in high-temperature (${>}$1000 °C) magmatic gases are overall consistent with those predicted thermodynamically assuming external redox buffering operated by the coexisting silicate melt, at oxygen fugacities ranging from ${\Delta }$FMQ $-$1 to 0 (non-arc volcanoes) to ${\Delta }$FMQ 0 to ${+}$2 (arc volcanoes) (where ${\Delta }$FMQ is oxygen fugacity expresses as a log unit difference relative to the Fayalite–Magnetite–Quartz oxygen fugacity buffer). …”
Get full text

Exploring the assessment of post-cardiac valve surgery pulmonary complication risks through the integration of wearable continuous physiological and clinical data by Lixuan Li, Yuekong Hu, Zhicheng Yang, Zeruxin Luo, Jiachen Wang, Wenqing Wang, Xiaoli Liu, Yuqiang Wang, Yong Fan, Pengming Yu, Zhengbo Zhang

“…We systematically evaluated three different input types (physiological, clinical, and both) and five classifiers (XGB, LR, RF, SVM, KNN) to identify the combination with strong predictive performance for PPCs. Feature selection was conducted using Recursive Feature Elimination with Cross-Validated (RFECV) for each model, yielding an optimal feature subset for each, followed by a grid search to tune hyperparameters. …”
Get full text

Utility of Pulse Oximetry Oxygen Saturation (SpO2) with Incorporation of Positive End-Expiratory Pressure (SpO2∗10/FiO2∗PEEP) for Classification and Prognostication of Patients wit... by Pratibha Todur, Anitha Nileshwar, Souvik Chaudhuri, Nitin Gupta, Srikant Natarajan, Shwethapriya Rao

“…The secondary objective was to determine the cut-off value of S/FP∗10 ratio to predict severe ARDS and survival. Methods. Patients aged 18–80 years on invasive mechanical ventilation (MV) diagnosed with ARDS as defined by the Berlin definition were included. …”
Get full text

Spatial-Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization-Patch-Level Land Use Simulation-Integrated... by Gui Chen, Qingxia Peng, Qiaohong Fan, Wenxiong Lin, Kai Su

“…Exploring and predicting the spatiotemporal evolution characteristics and driving forces of carbon storage in typical mountain forest ecosystems under land-use changes is crucial for curbing the effects of climate change and fostering sustainable, eco-friendly growth. …”
Get full text

Gene content of seawater microbes is a strong predictor of water chemistry across the Great Barrier Reef by Marko Terzin, Steven J. Robbins, Sara C. Bell, Kim-Anh Lê Cao, Renee K. Gruber, Pedro R. Frade, Nicole S. Webster, Yun Kit Yeoh, David G. Bourne, Patrick W. Laffy

“…Microbial indicator analysis has centered around measuring the taxonomic composition of seawater microbial communities, but this can obscure heterogeneity of gene content between taxonomically similar microbes, and thus, microbial functional genes have been hypothesized to have more scope for predictive potential, though empirical validation for this hypothesis is still pending. …”
Get full text

Role of Cardiac Magnetic Resonance Imaging in Detecting Myocardial Viability in Patients with Chronic Ischaemic Heart Disease: A Prospective Observational Study by Subhosree Dey, Parul Dutta, Bornali Dutta, Baloy Jyoti Talukdar, Sushant Agarwal, Dhiraj Baruah

“…Conclusion: Delayed Enhanced-Cardiac Magnetic Resonance (DE-CMR) imaging assesses severity of the infarcted myocardium and helps in predicting recovery following intervention.…”
Get full text

Inflammatory Indices and MAFLD Prevalence in Hypertensive Patients: A Large-Scale Cross-Sectional Analysis from China by Shen D, Cai X, Hu J, Song S, Zhu Q, Ma H, Zhang Y, Ma R, Zhou P, Yang W, Hong J, Zhang D, Li N

“…This study investigates the relationship between inflammatory indices and MAFLD in hypertensive patients and assesses the predictive accuracy of these indices for MAFLD.Methods: We performed a cross-sectional analysis involving 34,303 hypertensive patients from a Chinese hospital-based registry. …”
Get full text

Association between the hemoglobin A1c/High-density lipoprotein cholesterol ratio and stroke incidence: a prospective nationwide cohort study in China by Chaojuan Huang, Hongtao You, Yuyang Zhang, Ligang Fan, Xingliang Feng, Naiyuan Shao

“…Using the T1 of cumulative mean HbA1c/HDL-C as a reference, the fully adjusted OR for stroke was 1.65 (95% CI: 1.21–2.24) in T2 and 1.54 (95% CI: 1.08–2.19) in T3. The predictive value of the HbA1c/HDL-C in stroke risk assessment have been significantly improved compared to the traditional HDL-C and HbA1c. …”
Get full text

Impact of a positive end-expiratory pressure on oxygenation, respiratory compliance, and hemodynamics in obese patients undergoing laparoscopic surgery in reverse Trendelenburg pos... by Gulfairus A. Yessenbayeva, Aizhan M. Meyerbekova, Sergey I. Kim, Murat B. Zhumabayev, Gulbanu S. Berdiyarova, Sanzhar B. Shalekenov, Dinara S. Zharlyganova, Irina Y. Mukatova, Yekaterina A. Yukhnevich, Dmitriy A. Klyuyev, Andrey I. Yaroshetskiy

“…We calculated mean differences (MD) with 95% confidence intervals (CI), and predictive intervals (PI) using random-effects models. …”
Get full text

Suberosin attenuates rheumatoid arthritis by repolarizing macrophages and inhibiting synovitis via the JAK/STAT signaling pathway by Huan Liu, Qianwei Li, Yuehong Chen, Min Dong, Hongjiang Liu, Jiaqian Zhang, Leiyi Yang, Geng Yin, Qibing Xie

“…Network pharmacology and molecular docking analyses were used to predict the anti-arthritic targets of SBR. The effect of SBR on the Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway was evaluated. …”
Get full text

Penerapan Text Augmentation untuk Mengatasi Data yang Tidak Seimbang pada Klasifikasi Teks Berbahasa Indonesia by Iftitah Athiyyah Rahma, Lya Hulliyyatus Suadaa

“…Meanwhile, the minority label data tends to be classified incorrectly by the model, even though, in some cases, the model's ability to predict data with minority labels is more important. …”
Get full text

Integrating rapamycin with novel PI3K/Akt/mTOR inhibitor microRNAs on NOTCH1-driven T-cell acute lymphoblastic leukemia (T-ALL) by Fateme Arjmand, Samaneh Shojaei, Mitra Khalili, Hossein Dinmohammadi, Behzad Poopak, Samira Mohammadi-Yeganeh, Yousef Mortazavi

“…Results: Six miRNAs (miR-3143, miR-3182, miR-99a/100, miR-155, miR-576-5p, and miR-501- 3p) were predicted as inhibitors of PI3K/AKT/mTOR pathway. The expression analysis of both clinical samples and the Jurkat cell line revealed a simultaneous downregulation of miR-3143 and miR-3182. …”
Get full text

Perbedaan Rasio Kolesterol Total/ HDL Kelompok Kontrol dan Kelompok Diet Tinggi Minyak Sawit pada Tikus Wistar by Yelsa Yulanda Putri, Ellyza Nasrul, Susila Sastri

“…<br />Kata kunci: diet tinggi minyak sawit, kolesterol, HDL, rasio kolesterol/ HDL</p><p>Abstract<br />The ratio of total cholesterol/ HDL is the lipoprotein variables best predict the risk of cardiovascular disease . The increased risk of cardiovascular disease can be caused by high levels of cholesterol exciting. …”
Get full text

Preliminary study assessing the long-term surgical outcomes of TBX6-associated congenital scoliosis (TACS) patients using the propensity score matching method: exploring the clinic... by Guanfeng Lin, Yang Yang, Zefu Chen, Sen Zhao, Yuchen Niu, You Du, Yiwei Zhao, Shengru Wang, Nan Wu, Jianguo Zhang

“…Conclusions TACS patients had better surgical outcomes than NTACS patients, which means that genetic diagnosis of the TBX6 gene mutation in CS before surgery can help predict better surgical outcomes. The specific genetic mechanism is not yet clear and may be related to the relatively normal development of paravertebral tissues in TACS patients. …”
Get full text

Prognostic value of body adipose tissue parameters in cancer patients treated with immune checkpoint inhibitors by Yan Li, Yean Yu, Kun Lv, Rongjuan Ge, Xie Xie

“…No significant relationship was found between TAT (HR: 0.81, 95% CI: 0.54–1.23, p = 0.332) and VSR (HR: 1.20, 95% CI: 0.95–1.51, p = 0.131) with PFS in ICI-treated patients.ConclusionThis study highlights the prognostic relevance of VAT and SAT in predicting treatment response and survival outcomes in cancer patients receiving ICIs. …”
Get full text

The Impact of Nutritional Status and Tumor-Infiltrating Lymphocytes (CD4+ and CD8+) on Chemotherapy Response in Colorectal Cancer Patients by Lukman K, Septianto R, Rudiman R, Ruchimat T, Sribudiani Y, Nugraha P, Primastari E, Budiman D

“…These findings highlight the importance of supporting patients’ nutritional health during cancer treatment and suggest that monitoring immune cell activity could help predict treatment success. By tailoring care to these factors, healthcare providers may be able to improve outcomes for people with colorectal cancer.Keywords: chemotherapy response, colorectal cancer, prognostic, tumor infiltrating lymphocytes…”
Get full text

Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach by Pei Yang, Zeao Zhang, Jianan Wei, Lisha Jiang, Liqian Yu, Huawei Cai, Lin Li, Quan Guo, Zhen Zhao

“…Methods We developed a feature alignment attenuation correction network (FA-ACNet) based on the 3D U-Net framework to generate predicted DL-based AC SPECT (Deep AC). The network was trained on 167 cardiac SPECT/CT studies using 5-fold cross validation and tested in an independent testing set (n = 35), with CTAC serving as the reference. …”
Get full text

Application of dynamic systems modeling approach to rank optimal urban waste management strategies using SWOT method by Hamid Shahbandarzadeh, Mohammad Hossein Kabgani

“…The reasons for using the dynamic systems approach for this research can also be enumerated as follows: 1) an appropriate approach in determining and predicting the effects of factors affecting waste production, 2) helping to understand the relationships between variables and examining the behaviour and structure of systems, incredibly complex systems (creating a conceptual model), 3) a flexible approach with the ability to analyze quantitatively and qualitatively, 4) the ability to review the system in the future under different scenarios and policies of decision makers and 5) dynamic system models are considered as simulation models; therefore, they have the advantages of using the simulation method over the analysis methods. …”
Get full text

Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis by Weiqi Liu, You Wu, Zhuozhao Zheng, Mark Bittle, Wei Yu, Hadi Kharrazi

“…Evaluation metrics of this study include lung nodule detection rate, accuracy, false negative rate, false positive rate, and positive predictive value. The statistical analyses included descriptive statistics and chi-square, Cochran-Armitage, and Mann-Kendall tests. …”
Get full text