Zobrazeno 1 - 10
of 1 074
pro vyhledávání: '"yalin zhang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The aim of this study was to establish and validate the precision of a novel radiomics approach that integrates 18Fluorine-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)-computed tomography (CT) scan data with clinical infor
Externí odkaz:
https://doaj.org/article/f6a370c90aaa4b69ad3cda8797242cd2
Publikováno v:
南方能源建设, Vol 11, Iss 4, Pp 137-143 (2024)
[Introduction] In the nuclear power plant, the steam pipeline is generally installed with an insulation layer on the outer wall to improve heat transfer efficiency. Currently, the main detection means for ferromagnetic pipelines are conventional ultr
Externí odkaz:
https://doaj.org/article/39d0e9f49d524eab90ad5796fcfe61a6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The physical characteristics of classrooms can significantly impact the physical and mental health as well as the learning performance of college students. This study investigates the effects of classroom size and ceiling height on learning
Externí odkaz:
https://doaj.org/article/7b3e06345924475b8b10a005e8d1eed3
Publikováno v:
Health Science Reports, Vol 7, Iss 9, Pp n/a-n/a (2024)
Abstract Background and Aims In this study, a pediatric hospital was selected as the study setting, to investigate the effects of the environment of a pediatric operating room child‐friendly space on preschool children under anesthesia. Methods Int
Externí odkaz:
https://doaj.org/article/d94bd31a786c456bb499b8ba6da401c1
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposeThis study was designed to determine the diagnostic performance of fluorine-18-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) radiomics-based machine learning (ML) in the classification of cervical ade
Externí odkaz:
https://doaj.org/article/6abbeb4ab411463995da28405a57fb72
Autor:
Wanqing Sun, Lihong Zhao, Jinglong Zhou, Hongjie Feng, Yalin Zhang, Zili Feng, Heqin Zhu, Feng Wei
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
IntroductionVerticillium dahliae, a soil-borne fungal pathogen, can cause cotton Verticillium wilt. In this study, VdP5CDH, the member of the ALDH_F4-17 family of carboxylate dehydrogenases, was identified in the genome of V. dahliae and investigated
Externí odkaz:
https://doaj.org/article/08509f7dbafb4cd7bfc3f2a2ead26e8b
Publikováno v:
Subterranean Biology, Vol 48, Iss , Pp 147-170 (2024)
Planthoppers are an interesting and contrasting model among insects for studying the subterranean environments. Their morphological and ethological adaptations to the underground conditions (complete darkness, lower temperatures, high hygrometry, sta
Externí odkaz:
https://doaj.org/article/03925761888943a2a84bf49556180209
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Genomic dissection of genetic effects on desirable traits and the subsequent use of genomic selection hold great promise for accelerating the rate of genetic improvement of forest tree species. In this study, a total of 661 offspring trees f
Externí odkaz:
https://doaj.org/article/83ea6e22ae4644a5ab385b05db79495b
Autor:
Huiling Liu, Yongbin Cui, Cheng Chang, Zichun Zhou, Yalin Zhang, Changsheng Ma, Yong Yin, Ruozheng Wang
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background The existing staging system cannot meet the needs of accurate survival prediction. Accurate survival prediction for locally advanced cervical cancer (LACC) patients who have undergone concurrent radiochemotherapy (CCRT) can improv
Externí odkaz:
https://doaj.org/article/4349bd37cf284b33b7c6ab718cb28e2b
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundLung squamous cell carcinoma (LUSC) ranks among the carcinomas with the highest incidence and dismal survival rates, suffering from a lack of effective therapeutic strategies. Consequently, biomarkers facilitating early diagnosis of LUSC co
Externí odkaz:
https://doaj.org/article/fba7288f22a14f569ff3cfd287c27189