Publications by authors named "Y B Yang"

A Cu(I) photoredox-enabled reaction that selectively incorporates a difluoroalkyl group into -aryl glycine derivatives has been established. Using a bench-stable [PhPCFH]Br salt, the -CFH group could be installed either directly on the α-carbon of the glycine backbone or in a three-component fashion using an alkene as a bridge. A series of glycine derivatives have been evaluated, providing access to diverse unnatural amino esters and dipeptides with a -CHF unit.

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Objectives: To investigate the epidemiological characteristics and changing trends of communicable diseases among children and adolescents in China from 1990 to 2021.

Methods: Based on the Global Burden of Disease Database, epidemiological indicators for communicable diseases among the population aged under 20 years in China from 1990 to 2021 were selected to analyze the burden of communicable diseases in this population, and a comparative analysis was performed with global data as well as data from Western Europe and North America.

Results: In 1990-2021, the overall burden of communicable diseases tended to decrease among children and adolescents in China.

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Granulosa cells (GCs) are pivotal in the development of ovarian follicles, serving not only as supportive cells but also as the primary producers of steroid hormones. The proliferation of these cells and the synthesis of steroid hormones are crucial for follicular development and atresia. In our study, GCs were isolated using follicular fluid aspiration and subsequently identified through immunofluorescence.

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Soil microorganisms transform plant-derived C (carbon) into particulate organic C (POC) and mineral-associated C (MAOC) pools. While microbial carbon use efficiency (CUE) is widely recognized in current biogeochemical models as a key predictor of soil organic carbon (SOC) storage, large-scale empirical evidence is limited. In this study, we proposed and experimentally tested two predictors of POC and MAOC pool formation: microbial necromass (using amino sugars as a proxy) and CUE (by O-HO approach).

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Objective: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aims to develop and validate an AI-driven radiomics prediction model for such nodules to enhance diagnostic accuracy.

Methods: Data of 2,591 pulmonary nodules from five medical centers (Zhengzhou People's Hospital, etc.

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