Efficacy of parenteral pantoprazole in patients with acute ulcerative gastroduodenal bleeding at high risk of relapse by S. G. Shapovalyants, S. A. Chernyakevich, A. I. Mikhalev, O. I. Yudin, I. V. Babkova, G. N. Storozhuk, Ye. K. Mayat, P. L. Chernyakevich

“…At admission ongoing AUGDB (Forrest Iа) was revealed at 6 patients, bleeding from under a clot (Forrest Iв) – in 2 patients, bleeding stopped at the time of examination (Forrest IIа) – in 14, with fixed thrombus (Forrest IIв) – in 8. …”
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RETRACTED ARTICLE: A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6 by Lizhe Wang, Yu Wang, Yueyang Li, Li Zhou, Sihan Liu, Yongyi Cao, Yuzhi Li, Shenting Liu, Jiahui Du, Jin Wang, Ting Zhu

“…The molecular processes that propel breast cancer progression are not fully elucidated, highlighting the intricate nature of the underlying biology and its crucial impact on global health. …”
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Treatment approaches for idiopathic retroperitoneal fibrosis: a systematic review with meta-analysis by Annik Steimer, Mike O. Becker

“…The review protocol is registered on PROSPERO under the identification number CRD42019115744.…”
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A CD36-based prediction model for sepsis-induced myocardial injury by Yun Xie, Hui Lv, Daonan Chen, Peijie Huang, Zhigang Zhou, Ruilan Wang

“…The model’s quality of fit was tested with a P-value of 0.4682, indicating a good degree of discrimination and calibration, as evidenced by the area under the ROC curve (0.7724). Conclusion: The prognosis of individuals with sepsis is closely associated with elevated CD36 levels. …”
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Predictive performance of emergency department-specific variables on COVID-19 pneumonia by Hann-Yee Tan, Mathew Yeo, Xin-Ying Tay, Michael Fung, Ranjeev Kumar, Say-Tat Ooi, Lina Amirah, Chalani Udhyami Ubeynarayana, Desmond Mao

“…Accuracy of continuous variables was measured by area under receiver operating characteristic (ROC) curve. …”
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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Results: Models showed strong performance on the retrospective TTE datasets (LVEF regression: root mean squared error (RMSE)=6.83%, 6.53%, and 6.95% for Rochester, Arizona, and Florida cohorts, respectively; classification of LVEF ≤40% versus LVEF > 40%: area under curve (AUC)=0.962, 0.967, and 0.980 for Rochester, Arizona, and Florida, respectively; age: RMSE=9.44% for Rochester; sex: AUC=0.882 for Rochester), and performed comparably for prospective HCU versus TTE data (LVEF regression: RMSE=6.37% for HCU vs 5.57% for TTE; LVEF classification: AUC=0.974 vs 0.981; age: RMSE=10.35% vs 9.32%; sex: AUC=0.896 vs 0.933). …”
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Targeted inhibition of the PTEN/PI3K/AKT pathway by YSV induces cell cycle arrest and apoptosis in oral squamous cell carcinoma by Lin Qiu, Qian Gao, Yiheng Liao, Xinxin Li, Cuiying Li

“…This study aims to investigate the inhibitory effects of YSV on OSCC and explore the underlying molecular mechanisms. Methods A series of in vitro experiments were conducted to assess the impact of YSV on OSCC cell viability, colony formation, cell cycle, and apoptosis. …”
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Profiling gene alterations in striatonigral neurons associated with incubation of methamphetamine craving by cholera toxin subunit B-based fluorescence-activated cell sorting by Rachel D. Altshuler, Megan A. M. Burke, Kristine T. Garcia, Kenneth Class, Raffaello Cimbro, Xuan Li, Xuan Li

“…However, circuit-specific molecular mechanisms in DS underlying this incubation are largely unknown. Here we combined a newly developed fluorescence-activated sorting (FACS) protocol with fluorescence-conjugated cholera toxin subunit B-647 (CTb-647, a retrograde tracer) to examine gene alterations in the direct-pathway (striatonigral) medium spiny neurons (MSNs) associated with incubation of Meth craving.MethodsWe injected CTb-647 bilaterally into substantia nigra before or after training rats to self-administer Meth or saline (control condition) for 10 days (6 h/d). …”
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Surgical Aspects of Split Liver Transplantation: а Review by S. V. Gautier, R. A. Latypov, A. R. Monakhov

“…The active use of SLT allows the pool of donor organs to be increased, which is of great importance under the conditions of their permanent lack.…”
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The effect of feeding methods and non-nutritive sucking habits on early childhood caries and development of occlusion (A cross-sectional study) by Huda R. Awsi, Bayan A. Hassan

“… Background and objectives: Early Childhood Caries (ECC ) is the most common chronic disease conditioning childhood and involves the presence of one or more decayed (noncavitated or cavitated lesions),missing(due to caries), or filled tooth surfaces in children under 72 months of age.Time and frequency of breast-feeding, artificial feeding and of non-nutritive sucking habits can influence orofacial development, and when negative can provoke instability of orofacial function. …”
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Dietary index for gut microbiota and its protective role against kidney stones: evidence of diabetes as a mediator from NHANES cross-sectional data by Lei Wang, Junjun Wu, Ziwen Jiang, Chao Wang, Fuxiang Lin, Yuxiang Zhong, Pengpeng Zhao, Wei Wei, Jianhua Huang, Zhanping Xu

“…The role of DI-GM and its mediation by diabetes in KS pathogenesis remains unclear.ObjectiveTo investigate the association between DI-GM and KS prevalence, assess the mediation effect of diabetes, and explore subgroup-specific effects and underlying mechanisms.MethodsA cross-sectional analysis of NHANES (2007–2018) data was conducted using a stratified, multistage probability sampling design. …”
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Regional cerebral oxygen saturation during initial mobilization of critically ill patients is associated with clinical outcomes: a prospective observational study by Ryota Imai, Takafumi Abe, Kentaro Iwata, Seigo Yamaguchi, Takeshi Kitai, Atsuhiro Tsubaki

“…Receiver operating characteristic curve analysis identified an optimal rSO2 cut-off value of 57% for predicting in-hospital death (area under the curve 0.818, sensitivity 73%, specificity 83%). …”
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Machine Learning Algorithm for Estimating Surface PM2.5 in Thailand by Pawan Gupta, Shanshan Zhan, Vikalp Mishra, Aekkapol Aekakkararungroj, Amanda Markert, Sarawut Paibong, Farrukh Chishtie

“…The MLA also shows underestimation at hourly scale under very clean conditions (PM2.5 < 10 µg m−3) and overestimation during high loading (PM2.5 > 80 µg m−3). …”
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UNCHARTED WATERS: ANALYZING PRESIDENT BUHARI'S DIPLOMATIC ADAPTATIONS TO INTERNATIONAL SECURITY THREATS, 2015-2023 by ENUEME PAUL OVIE, GBIGBIDJE DAVID LAWSON

“… This study examines how Nigeria’s foreign policy under President MuhammaduBuhari adapted to the global challenges that emerged from 2015 to 2023, filling a gap in the literature on adaptive foreign policy theory in the African context. …”
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Innovative Approach to the Optimal Distribution of Citizens’ Pension Savings to Non-State Pension Funds by Evgeniy Kostyrin, Stepan Drynkin

“…The solution to the dynamic programming problem concerning the optimal distribution of citizens’ pension savings in NPFs demonstrated that the maximum return on investment of pension funds would be achieved under the condition that from 2024 to 2043, funds are invested in JSC NPF FUTURE, and from 2044 to 2063, the funds are invested in the JSC NPF Alliance. …”
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Association between geriatric nutritional risk index and overactive bladder in the elderly population: a cross-sectional study by Wei Zheng, Wei Zheng, Chuanzan Zhou, Jia Miao, Yunkai Yang, Xuanhan Hu, Heng Wang, Xinyu Zhang, Qi Zhang, Yifan Wang

“…Furthermore, this study elucidates the underlying inflammatory mechanisms that link GNRI to the development of OAB.…”
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Exploring the potential cost-effectiveness and societal burden implications of screening for fracture risk in a UK general radiography setting by E. Söreskog, B. Lopez, T. Bean, P. Lewis, N. Ashley, J. Da Palma Lopes, R. Meertens, A. Ratcliffe

“…Sensitivity analyses confirmed the robustness of the results under various assumptions. Widespread adoption of IBEX BH in the NHS was estimated to save 8,066 QALYs and £65,930,555 in healthcare costs over the lifetime of patients visiting hospitals for wrist radiographs each year. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…The best BPM model based on a pre-trained ResNet50 architecture had an area under the receiver operating characteristic and precision-recall curves of 0.969±0.008 and 0.843±0.041, respectively. …”
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Deciphering the multifaceted mechanism of Shuang Huang Lian in treating upper respiratory tract infections: A metabolomics-based network pharmacology approach by Gang Xu, Akshay Suresh Patil, Ruhan Wei, Dan Liu, Aimin Zhou, Yan Xu

“…Conclusion: This comprehensive study elucidates the multifaceted mechanisms underlying SHL's efficacy in treating URTIs, supporting its traditional use and highlighting its potential for novel therapeutic development.…”
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Electrocardiography-based artificial intelligence predicts the upcoming future of heart failure with mildly reduced ejection fraction by Dae-Young Kim, Sang-Won Lee, Dong-Ho Lee, Sang-Chul Lee, Sang-Chul Lee, Ji-Hun Jang, Sung-Hee Shin, Dae-Hyeok Kim, Dae-Hyeok Kim, Wonik Choi, Wonik Choi, Yong-Soo Baek, Yong-Soo Baek, Yong-Soo Baek

“…The AI-ECG encompasses a novel model that combines an automatic labelling preprocessing method with a transformer architecture incorporating a triplet loss for HFmrEF analysis.ResultsThe receiver operating characteristic analyses revealed that the area under the curve of AI-ECG for identifying all types of HF was acceptable [0.873, 95% confidence interval (CI): 0.864–0.893], while that for identifying patients with HFmrEF was relatively lower (0.824, 95% CI: 0.794–0.863) than that for those with HF with reduced ejection fraction (EF) (0.875, 95% CI: 0.844–0.912) and those with normal EF (0.870, 95% CI: 0.842–0.894). …”
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