Zobrazeno 1 - 10
of 7 547
pro vyhledávání: '"Hong lu"'
Publikováno v:
International Journal of Nursing Sciences, Vol 11, Iss 5, Pp 528-535 (2024)
Objectives: To review, evaluate, and synthesize the recommendations of guidelines on preeclampsia (PE) from a nursing perspective. Methods: This is a systematic review of international and national guidelines on PE. Electronic databases and related g
Externí odkaz:
https://doaj.org/article/32b271fda4824a1881e18b2d672563b2
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Chronic headache (CH) is a widespread problem in clinical practice. The causes of the disease are very complex and varied, including organic, functional and even psychogenic causes. Adverse childhood experiences (ACEs) are related
Externí odkaz:
https://doaj.org/article/69011f5f38d54336a32b0c843dc4a0e6
Publikováno v:
Tobacco Induced Diseases, Vol 22, Iss October, Pp 1-8 (2024)
Introduction The global rise in e-cigarette use among adolescents is alarming, with associated socioeconomic inequalities posing potential public health risks. This study examined trends in the socioeconomic inequality in e-cigarette use among South
Externí odkaz:
https://doaj.org/article/f59b9dd835b941c68adffca9fefeb1fa
Autor:
Arlinda Ruco, Aisha K. Lofters, Hong Lu, Nancy N. Baxter, Sara Guilcher, Alexander Kopp, Mandana Vahabi, Geetanjali D. Datta
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Lung cancer is one of the most common cancers and causes of cancer death in Canada. Some previous literature suggests that socioeconomic inequalities in lung cancer screening, treatment and survival may exist. The objective of thi
Externí odkaz:
https://doaj.org/article/2f953527702b426b8d8b1c18600d9bd5
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract In this study, we analyzed pooled data from two prospective population-based cohorts—the Health Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA)—to explore the association between trajectories of depressive symp
Externí odkaz:
https://doaj.org/article/d2e95924ccc44ec2a1db99685daceeee
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 38, Iss , Pp 98-102 (2024)
ABSTRACT: Over 1 year, two KPC-producing and two non–KPC-producing Klebsiella pneumoniae strains were isolated from a patient. Genome and DNA hybridization analyses revealed the first three strains as a clonal lineage, with carbapenem resistance ch
Externí odkaz:
https://doaj.org/article/372aad52b1e54a519af56dc934463201
A dynamic online nomogram for predicts delayed postoperative bleeding after colorectal polyp surgery
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study aims to analyze the risk factors associated with delayed postoperative bleeding (DPPB) following colorectal polyp surgery, develop a dynamic nomogram and evaluate the model efficacy, provide a reference for clinicians to identify
Externí odkaz:
https://doaj.org/article/e4ff3e8a0ba541efba09887f242730bd
Autor:
Fahad Paryani, Ji-Sun Kwon, Christopher W. Ng, Kelly Jakubiak, Nacoya Madden, Kenneth Ofori, Alice Tang, Hong Lu, Shengnan Xia, Juncheng Li, Aayushi Mahajan, Shawn M. Davidson, Anna O. Basile, Caitlin McHugh, Jean Paul Vonsattel, Richard Hickman, Michael C. Zody, David E. Housman, James E. Goldman, Andrew S. Yoo, Vilas Menon, Osama Al-Dalahmah
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract The mechanisms underlying the selective regional vulnerability to neurodegeneration in Huntington’s disease (HD) have not been fully defined. To explore the role of astrocytes in this phenomenon, we used single-nucleus and bulk RNAseq, lip
Externí odkaz:
https://doaj.org/article/8951e53b83a446a78dbb4875a502960b
Publikováno v:
Radiation Oncology, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Background The purpose of this study was to improve the deep learning (DL) model performance in predicting and classifying IMRT gamma passing rate (GPR) by using input features related to machine parameters and a class balancing technique. M
Externí odkaz:
https://doaj.org/article/0d1287c074d548e8980c8afd131da0d8
Autor:
Rong Liang, Fangfang Li, Jingyuan Yao, Fang Tong, Minghui Hua, Junjun Liu, Chenlei Shi, Lewen Sui, Hong Lu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract To retrospectively assess the effectiveness of deep learning (DL) model, based on breast magnetic resonance imaging (MRI), in predicting preoperative lymphovascular invasion (LVI) status in patients diagnosed with invasive breast cancer who
Externí odkaz:
https://doaj.org/article/49606ed1d56f44cf9848302ff1f93863