Zobrazeno 1 - 10
of 1 077
pro vyhledávání: '"XIAOTONG WANG"'
Autor:
Xiumin Jiang, Xiaotong Wang, Meng Zhang, Lin Yu, Jun He, Shengwei Wu, Jinglan Yan, Yuanjia Zheng, Yuanyuan Zhou, Yongjun Chen
Publikováno v:
Journal of Advanced Research, Vol 65, Iss , Pp 183-195 (2024)
Introduction: The interplay between influential factors and the incidence of subthreshold depression (SD) in young adults remains poorly understood. Objectives: This study sought to understand the dietary habits, gut microbiota composition, etc. amon
Externí odkaz:
https://doaj.org/article/f52d6c7399394adbac21c759c7f543e3
Publikováno v:
Annals of General Psychiatry, Vol 23, Iss 1, Pp 1-13 (2024)
Abstract Objectives This study aims to reveal the current knowledge map, research hotspots of functional magnetic resonance imaging (fMRI) studies on depression, as well as identify the brain regions associated with depression. Methods CiteSpace was
Externí odkaz:
https://doaj.org/article/bd1dc5e277314457b67cfeedd66a6fe2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Background and aims Human papillomavirus (HPV) infection is widespread. The regional differences in infection rates and dominant HPV types are a significant aspect of the virus’s epidemiological characteristics. In China, these differences
Externí odkaz:
https://doaj.org/article/2cb4dd7a6de74d3a9a39a41853098919
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract SASH1 (SAM and SH3 domain containing 1) has been increasingly reported as a tumor suppressor gene. However, there is limited research on the role of SASH1 in breast cancer. This manuscript aims to investigate the mechanism of SASH1 in the oc
Externí odkaz:
https://doaj.org/article/6ee598089f814ea0b98d5a0076dfe23c
Autor:
Xiaotong Wang, Lan Wu, Wanran Zhang, Shi Qiu, Zhichao Xu, Huihua Wan, Jiang He, Wenting Wang, Mengyue Wang, Qinggang Yin, Yuhua Shi, Ranran Gao, Li Xiang, Weijun Yang
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1106-1116 (2024)
Flavonoid glycosides are widespread in plants, and are of great interest owing to their diverse biological activities and effectiveness in preventing chronic diseases. Periploca forrestii, a renowned medicinal plant of the Apocynaceae family, contain
Externí odkaz:
https://doaj.org/article/e67290147e2444228908ab942021c6ad
Publikováno v:
Energy and Built Environment, Vol 5, Iss 4, Pp 615-627 (2024)
Evaluation of the suitability of university ladder classroom environment on humans is an effective approach to improve the quality of the indoor environment and protect human health. However, there are unresolved issues regarding the suitability of u
Externí odkaz:
https://doaj.org/article/e0cb9ec6909849ce95265c0c31e81e2d
Publikováno v:
ACS Central Science, Vol 10, Iss 8, Pp 1515-1523 (2024)
Externí odkaz:
https://doaj.org/article/ed3543497ab34281a02c3479e7c4b2f5
Publikováno v:
Meitan xuebao, Vol 49, Iss 7, Pp 3051-3062 (2024)
The detailed seepage process and rainfall infiltration temporal variation cannot be observed visually due to the complexity and non-visibility of the internal structure of landslide body, thus making it difficult to identify the specific process of r
Externí odkaz:
https://doaj.org/article/90369affdb7f4ffdae3a11619c56510c
Autor:
Li Zhang, Yuanbin Li, Honglei Wang, Yirui Guo, Xiaotong Wang, Hongmei Wu, Qing Zhang, Li Liu, Ge Meng, Shunming Zhang, Shaomei Sun, Ming Zhou, Qiyu Jia, Kun Song, Anna Stubbendorff, Yeqing Gu, Kaijun Niu
Publikováno v:
BMC Immunology, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by hyperglycemia resulting from defects in insulin secretion and/or insulin action. Increasing evidence suggests that inflammation played an important role in the pathogen
Externí odkaz:
https://doaj.org/article/b33fe30128ab4bbe893a07d0026ca57f
Autor:
Xiaotong Wang, Khalid Ayidh Alqahtani, Tom Van den Bogaert, Sohaib Shujaat, Reinhilde Jacobs, Eman Shaheen
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Tooth segmentation on intraoral scanned (IOS) data is a prerequisite for clinical applications in digital workflows. Current state-of-the-art methods lack the robustness to handle variability in dental conditions. This study aims
Externí odkaz:
https://doaj.org/article/2f4214400bc3487cbb9c62cae2e15493