[Dual role of tea consumption in gastrointestinal disease risks: analysis using a risk prediction model integrating interpretable machine learning and large language model]. [PDF]
Chen J +7 more
europepmc +1 more source
目的为明确黄土高原生态系统碳水复合利用效率(COM)的时空演变特征及其驱动机制。方法以黄土高原为研究对象,基于改进的CASA模型模拟区域内的净初级生产力,并计算2002—2022年COM,分析碳水利用效率的时空分布特征及其变化趋势;采用最优参数地理探测器(OPGD)和偏最小二乘结构方程模型(PLS-SEM)探讨COM的驱动方式及影响路径。结果1)改进的CASA模型有效提升NPP估算精度(R2由0.53上升至0.63)。2)2002—2022年,黄土高原COM整体呈改善趋势,改善区域整体占比87.8%。3)
胡玥灿 +3 more
doaj
[Identification of efferocytosis-related genes in osteoarthritis and prediction of traditional Chinese medicines based on bioinformatics and machine learning]. [PDF]
Xiang K +5 more
europepmc +1 more source
目的为深入剖析三江源地区土壤侵蚀空间分布和主导因素,保障区域生态安全。方法利用区域尺度土壤侵蚀过程模型PESERA模拟1983—2022年4个时段(每10 a为1个时段)三江源地区的平均侵蚀速率,并采用最优地理探测器分析单因子对侵蚀速率的解释力及多因子间的交互作用。结果PESERA模型在三江源地区验证结果较好(NSE=0.53,R2=0.69)。三江源地区的侵蚀速率呈由南向北逐渐降低的空间分布特征,剧烈侵蚀[>150 t∕(hm2·a)]、轻度侵蚀[<5 t∕(hm2·a)]和微度侵蚀[5 ...
李朋飞 +6 more
doaj
[Nanomaterial-driven Lateral Flow Immunoassay: Technological Development and Application]. [PDF]
Zheng J, Hu X, Gu B.
europepmc +1 more source
[目的] 为明确三峡库区植被时空演变特征,定量分析植被与气候、地形及人类活动等各影响因子的关系。[方法] 基于归一化植被指数(NDVI)数据,采用Theil-Sen Median趋势分析、Mann-Kendall显著性检验、Hurst指数分析、地理探测器模型等方法,探究2000—2020年三峡库区NDVI时空分布特征及其驱动机制。[结果] (1)三峡库区2000—2020年NDVI变化整体呈上升趋势,平均变化率2.89×10-3/a,NDVI值呈由西南向东北递增的规律。(2)高程 ...
戚海梅 +5 more
doaj
[Advances in the construction and application of a novel liver organoid model for hepatitis B virus infection]. [PDF]
Li H, Xiang KH.
europepmc +1 more source
[Surgical robot-assisted submandibular gland excision through retroauricular hairline approach: three case reports]. [PDF]
Ma S, He J, Cao C, Wang X, Li C, Zhu G.
europepmc +1 more source
[Correlational research on body fat rate and skeletal muscle rate with depression in the population of assisted reproduction]. [PDF]
Song X +6 more
europepmc +1 more source
[Progress in electric field assisted molecular imprinting technology]. [PDF]
Wu JY, Huang XJ.
europepmc +1 more source

