Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Jingyi PAN"'
Publikováno v:
BMJ Open, Vol 14, Iss 10 (2024)
Aim The goal of this study is to evaluate the safety of diagnostic hysteroscopy (HSC) in type II endometrial cancer (EC).Methods We searched PubMed, the Cochrane Library and the Chinese Medical Journal Full-Text Database until December 2023. Eligible
Externí odkaz:
https://doaj.org/article/bcb009404fc045b3ba08e627fa3930d2
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundSepsis-induced acute lung injury (ALI) is a common and serious complication of sepsis that eventually progresses to life-threatening hypoxemia. Disulfidptosis is a newly discovered type of cell death associated with the pathogenesis of diff
Externí odkaz:
https://doaj.org/article/dddbf69af17148a58a1b1c870f981c83
Publikováno v:
Guangxi Zhiwu, Vol 43, Iss 4, Pp 732-740 (2023)
Prunus serrulata is a famous ornamental plant worldwide. Flower color is the most prominent trait of cherry. In order to analyze the different pathways and key metabolite change in flower color among P. serrulata cultivars, we conducted a comparative
Externí odkaz:
https://doaj.org/article/10dae62a3dd74a01acff2b520b6f5589
Publikováno v:
Biomolecules, Vol 14, Iss 7, p 766 (2024)
Understanding the dynamics of gene regulatory networks (GRNs) across diverse cell types poses a challenge yet holds immense value in unraveling the molecular mechanisms governing cellular processes. Current computational methods, which rely solely on
Externí odkaz:
https://doaj.org/article/bdef4213660a41b2b5004a9a2ab27e4f
Publikováno v:
HortScience, Vol 58, Iss 11 (2023)
Prunus serrulata, a widely distributed species in China and Japan, has gained increasing popularity in China as a result of its beautiful and colorful spring flowers. It typically grows in valleys and forests at altitudes of 500 to 1500 m, and can re
Externí odkaz:
https://doaj.org/article/5ebf82ae9c3048929da8bce42bda9a4e
Publikováno v:
Frontiers in Psychology, Vol 13 (2023)
ObjectiveTo investigate the effect of social support on stress, and to clarify the effect and mechanism of Online Emotional Support Accompany Group (OESAG).MethodsThe group members who signed up for the public welfare project “Psychological Rehabil
Externí odkaz:
https://doaj.org/article/f740b6c27f544f6496507b0a63413131
Publikováno v:
Electronics Letters, Vol 59, Iss 1, Pp n/a-n/a (2023)
Abstract Deep learning‐based classification algorithms have been used for automatic modulation recognition (AMR). However, most methods only focus on end‐to‐end mapping and neglect the classic key features. In this paper, signals are enforced w
Externí odkaz:
https://doaj.org/article/e31368fd02654df1a1eec949fd637352
Autor:
Xiaoying Zhou, Shengchun Jin, Jingyi Pan, Qingyi Lin, Shaopeng Yang, Peter C. Ambe, Zarrin Basharat, Vincent Zimmer, Wei Wang, Wandong Hong
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Previous researches have emphasized a trypsin-centered theory of acute pancreatitis (AP) for more than a century. With additional studies into the pathogenesis of AP, new mechanisms have been explored. Among them, the role of immune response bears gr
Externí odkaz:
https://doaj.org/article/953b607910aa4176acacaf73388000f4
Autor:
Wandong Hong, Yajing Lu, Xiaoying Zhou, Shengchun Jin, Jingyi Pan, Qingyi Lin, Shaopeng Yang, Zarrin Basharat, Maddalena Zippi, Hemant Goyal
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Background and AimsThis study aimed to develop an interpretable random forest model for predicting severe acute pancreatitis (SAP).MethodsClinical and laboratory data of 648 patients with acute pancreatitis were retrospectively reviewed and randomly
Externí odkaz:
https://doaj.org/article/5049af391228449db43fbc011b0553a2
Autor:
Wandong Hong, Xiaoying Zhou, Shengchun Jin, Yajing Lu, Jingyi Pan, Qingyi Lin, Shaopeng Yang, Tingting Xu, Zarrin Basharat, Maddalena Zippi, Sirio Fiorino, Vladislav Tsukanov, Simon Stock, Alfonso Grottesi, Qin Chen, Jingye Pan
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Background and AimsThe aim of this study was to apply machine learning models and a nomogram to differentiate critically ill from non-critically ill COVID-19 pneumonia patients.MethodsClinical symptoms and signs, laboratory parameters, cytokine profi
Externí odkaz:
https://doaj.org/article/1977d07f6f3a436fb27eb7ae5140b5fd