Publications by authors named "H Y Lu"

Low phosphorus (P) use efficiency significantly impacts rice yields. An environmentally friendly approach to increase phosphorus absorption and utilization in rice involves the exploration of phosphorus-solubilizing fungal resources. This study aimed to isolate and characterize fungal strains from the rice rhizosphere and assess their phosphate solubilization capabilities, plant-growth-promoting (PGP) traits, and mechanisms involved.

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This study aimed to analyze the trends of early-onset colorectal cancer (EOCRC) among individuals aged 15 to 49 in China from 1990 to 2021 and compare them with global patterns using data from the Global Burden of Disease (GBD) study. The analysis focused on age-standardized incidence rates (ASIR), prevalence rates (ASPR), mortality rates (ASMR), and disability-adjusted life years (DALYs). Joinpoint regression was used to determine the average annual percentage change (AAPC), and the ARIMA model was employed to forecast trends from 2022 to 2050.

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Background And Aims: To estimate the biological variation (BV) for lymphocyte subset counts in healthy adults based on full-spectrum flow cytometry (FS-FCM) and the most commonly used BD Multitest 6-Color TBNK kit in China.

Materials And Methods: The study was designed according to the BV Data Critical Appraisal Checklist (BIVAC). Peripheral blood samples were collected from 60 healthy adults every two weeks for a period of 20 weeks (10 samples from each subject).

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This study expands the original two-dimensional carbon footprint model into a three-dimensional model form. Introduce two indicators of carbon footprint depth (CF) and size (CF) to form a three-dimensional carbon footprint model (CF), which is used to respectively represent the occupation and consumption of natural capital reserves by human activities' carbon emissions. Based on the 3D carbon footprint model, this paper calculated the CF, CF, and CF for four different urban agglomerations of China (BTH, YRD, PRD, and CY) spanning from 2000 to 2017.

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Purpose: This systematic review aims to assess the performance, methodological quality and reporting transparency in prediction models for the dental implant's complications and survival rates.

Methods: A literature search was conducted in PubMed, Web of Science, and Embase databases. Peer-reviewed studies that developed prediction models for dental implant's complications and survival rate were included.

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