Integrative analytical and statistical framework for optimization of multiplex qPCR detection of TGFBI mutations in refractive surgery candidates [0.03%]
用于屈光手术候选者TGFBI基因突变的多重定量逆转录聚合酶链式反应检测优化的分析及统计框架集成模型
Yunfeng Gu,Liping Mao,Xiaoling Li et al.
Yunfeng Gu et al.
Refractive surgery can unmask or accelerate transforming growth factor-β-induced (TGFBI)-related corneal dystrophies that are undetectable by routine slit-lamp examination, creating a clear need for a rapid, standardized, preoperative gene...
Regenerative potential of Schneiderian membrane-derived mesenchymal stem cells in sinus floor elevation model and calvarial defect model [0.03%]
施雷德膜间充质干细胞在窦底提升模型和颅骨缺损模型中的再生潜能
Yuxin Zhao,Jia Wang,Dongqi You et al.
Yuxin Zhao et al.
OBJECTIVES: Schneiderian membrane-derived mesenchymal stem cells (SMMSCs) have been reported to be osteogenic progenitor cells in vitro. However, there is controversy regarding the intrinsic osteogenic capacity of the Schneiderian membrane,...
Esculetin attenuates migraine-like pain via CGRP suppression and meningeal mast cell modulation in rat models [0.03%]
埃塞亭通过抑制CGRP和调节脑膜肥大细胞来缓解类似偏头痛的疼痛(小鼠模型)
Ayca Nur Gonul,Ibrahim Ethem Torun,Yasemin Baranoglu Kilinc et al.
Ayca Nur Gonul et al.
Growing evidence suggests that esculetin, a 5-lipoxygenase inhibitor, has pharmacotherapeutic potential due to its various pharmacological properties, such as potent anti-inflammatory, anti-nociceptive, and γ-aminobutyric acid type A (GABA...
Kai Liu,Kaidi Ren,Dengwen Li et al.
Kai Liu et al.
Residing at the outermost layer of the skin, the epidermis is composed of stratified squamous epithelial cells. Regular renewal of the epidermis is essential for maintaining its barrier function, which is dependent on the orchestrated proli...
Shanghong Jiang,Yongchao Zhao,Danrui Cui
Shanghong Jiang
HEN methyltransferase 1 (HENMT1) is an RNA methyltransferase that catalyzes 2'-O-methylation of P-element-induced wimpy testis (PIWI)-interacting RNAs (piRNAs) within the small RNA silencing pathway and methylates microRNAs (miRNAs). By sta...
Endocrine-disrupting chemicals in aquatic ecosystems and their impacts on aquatic organisms and humans with advances in detection and remediation [0.03%]
水生生态系统中的内分泌干扰物及其对水生生物和人类的影响以及在检测和修复方面的进展
Tariq Dildar,Yongcheng Xue,Wenxiao Cui et al.
Tariq Dildar et al.
The increasing anthropogenic burden, driven by population growth and intensified industrial and agricultural practices, has led to the widespread release of endocrine-disrupting chemicals (EDCs) into aquatic ecosystems, with significant imp...
Deep learning-based phenology extraction and crop classification in arid oasis using Sentinel-2 time series [0.03%]
基于深度学习的Sentinel-2时间序列干旱绿洲物候提取和作物分类
Chunli Wang,Jianan Chi,Xiao Zhang et al.
Chunli Wang et al.
Multi-temporal remote sensing data in large-scale crop phenology identification and classification have become increasingly utilized, particularly for precision management in arid oasis agricultural regions with complex cropping systems. In...
RCTUnet: a deep learning model for crop-residue-soil image segmentation and crop residue cover extraction [0.03%]
基于深度学习的农作物残茬土壤图像分割和表面积提取模型RCTUnet
Ting Li,Yang Liu,Haikuan Feng et al.
Ting Li et al.
Accurate quantification of crop residue cover (CRC) is crucial for monitoring and evaluating conservation tillage practices, yet it poses a significant image segmentation challenge. The subtle visual distinctions between fragmented residue ...
Enhancing rapeseed biomass and yield estimation with ensemble learning and synergistic multidimensional features [0.03%]
基于集成学习和协同多维特征的油菜生物量及产量估计增强方法
Yanni Zhang,Xiaoyu Chai,Jinpeng Hu et al.
Yanni Zhang et al.
Accurate rapeseed yield and biomass estimation at the meter scale prior to harvest is crucial for precision harvesting. However, there is a scarcity of structured research on the estimation of rapeseed biomass yield. This study aims to addr...
Improving RGB image recognition in the YOLO11n algorithm for accurate detection of tea plant diseases [0.03%]
改进YOLO11n算法的RGB图像识别以准确检测茶树病害
Jinxian Tao,Xiaoli Li,Jingfei Zhang et al.
Jinxian Tao et al.
Tea diseases, including brown and gray blight, result in significant yield and quality losses, especially in Longjing tea production. Traditional detection methods are prone to errors, while existing deep learning models often struggle to b...