[目的] 为探明侵蚀坡耕地黑土硬度的时空特征及关键驱动因素。[方法] 基于典型水蚀坡耕地110个样点土壤穿透阻力动态监测及其相关因素的测定,在阐明土壤穿透阻力时空特征的基础上,利用多元线性回归(MLR)和随机森林(RFR)模型分析土壤穿透阻力的影响因素,并进一步构建其传递函数。[结果] 土壤穿透阻力时空变异性受土层深度、水分条件及农事活动等因素的综合影响,耕作层土壤穿透阻力空间上的异质性显著低于亚表层,变异系数分别为17.4%和26.3%。随土壤由湿变干和距离翻耕的时间增加,空间异质性呈增强趋势 ...
熊乾 +6 more
doaj
[Effect of AI-assisted compressed sensing acceleration on MRI radiomic feature extraction and staging model performance for nasopharyngeal carcinoma]. [PDF]
Li X, Xu G, Liu J, Feng Y.
europepmc +1 more source
[Artificial intelligence in predicting pathological complete response to neoadjuvant chemotherapy for breast cancer: current advances and challenges]. [PDF]
He S, Li X, Xie Y, Hou J, Han B, Nie S.
europepmc +1 more source
目的揭示云南省1990—2022年土壤侵蚀强度的变化轨迹,分析其变化类型及驱动因素,为制定有效的土壤侵蚀防治策略提供科学依据。方法基于RUSLE模型定量评估云南省土壤侵蚀强度状况,并引入年际变化速率捕捉其动态特征;采用改进的稳定映射法(STD),结合变化速率和变化频率,识别土壤侵蚀强度变化轨迹类型;利用随机森林模型分析驱动因素的贡献度,并比较不同轨迹类型分区的驱动因子特征。结果1) 云南省土壤侵蚀年际变化趋势以基本稳定为主,大幅减少和大幅增加区域面积变化显著;2)土壤侵蚀强度变化轨迹呈显著空间分异 ...
马岽玲 +4 more
doaj
[Prediction of protein Kbhb sites based on learnable feature embedding]. [PDF]
Wei Z, Wang Z, Yu J, Deng C, Yu D.
europepmc +1 more source
[A head direction cell model based on a spiking neural network with landmark-free calibration]. [PDF]
Yu N, Huang J, Lin K, Zhang Z.
europepmc +1 more source
[Recent advances in artificial intelligence for auxiliary diagnosis and management of neonatal necrotizing enterocolitis]. [PDF]
Jiang Q, Zhang L.
europepmc +1 more source
[Application Value of an AI-based Imaging Feature Parameter Model for Predicting the Malignancy of Part-solid Pulmonary Nodule]. [PDF]
Lin M +8 more
europepmc +1 more source
[Analysis of Plasma Metabolic Profile Characteristics in Gouty Arthritis With Dampness Syndrome]. [PDF]
Zhu F +9 more
europepmc +1 more source
[Multimodal Data-Driven Prediction of Gynecological Surgery Duration]. [PDF]
Huang Y +8 more
europepmc +1 more source

