A construction of statistical inferences in geographically weighted univariate log-gamma regression [0.03%]
地理加权单变量对数-伽玛回归的统计推断构造
Dyah Setyo Rini,Purhadi,Shofi Andari
Dyah Setyo Rini
Log-gamma regression (LGR) is a non-linear regression model in which the response variable follows a log-gamma distribution. Previous studies have generally applied the two-parameter log-gamma distribution, consisting of shape and scale. Th...
Automated quantitative analysis of osteoclast numbers and areas in cell culture plates using the YOLOv8 instance segmentation model [0.03%]
基于YOLOv8实例分割模型的细胞培养板中破骨细胞数量和面积的自动化定量分析
Jia Huang,Zefeng Li,Junyu Ouyang et al.
Jia Huang et al.
Quantitative assessment of osteoclasts by counting and measuring area proportions is a fundamental approach for analyzing in vitro osteoclastogenesis. However, there is a lack of user-friendly automated analysis tools that do not require pr...
SCRUM: A simple model for estimating uptake of nitrogen and water by field crops [0.03%]
_SCRUM：一种估计田间作物氮素和水分吸收的简单模型_
Edith N Khaembah,Rogerio Cichota,Megan Gee et al.
Edith N Khaembah et al.
This paper describes the Simple Crop Resource Uptake Model (SCRUM), a configurable generic crop model implemented in APSIM Next Generation's Plant Modelling Framework. SCRUM simulates crop development using a nine‑phase phenology coupled t...
A standardized protocol for microplastic and non-synthetic microfiber extraction and µFTIR identification in elasmobranch gastrointestinal tissues [0.03%]
软骨鱼胃肠组织中微塑料和非合成微纤维的提取及µFTIR鉴别的标准化方案
Roberto Cruz-García,Felipe Amezcua
Roberto Cruz-García
Elasmobranch gastrointestinal tissues are a complex matrix for microplastic work: high in lipids, dense in connective tissue, and prone to losing small particles during handling. In this work, we developed a protocol that targets these prob...
Integrated microwave-assisted acetic acid pretreatment and endoglucanase-xylanase hydrolysis for nanocrystalline cellulose preparation [0.03%]
一步合成纳米结晶纤维素的新方法：乙酸预处理与内切葡聚糖酶-木聚糖酶联用法
K Y Lim,K Y Foo
K Y Lim
This study presents a high-efficiency extraction strategy for nanocrystalline cellulose (NCC) from tangerine peel as a model lignocellulosic biomass, using sequential microwave (MW)-assisted acetic acid (AA) pretreatment and dual-enzyme (en...
A reproducible mechano-thermal injury method for reconstructed human epidermis to study wound re-epithelialization [0.03%]
一种用于研究伤口再上皮化的重建人类表皮的可重复的机械-热损伤方法
Thaís C Pereira,Victória S Padilha,José M de Brito Neto et al.
Thaís C Pereira et al.
Reconstructed human epidermis (RHE) models are widely used as an ethical alternative to animal testing and are validated for cutaneous toxicity assessment. However, their application in wound healing research remains limited due to the lack...
A reproducible R workflow for harmonizing indoor air quality sensor data and cleaning activity logs in school-based field campaigns [0.03%]
基于学校的现场活动中协调室内空气质量传感器数据和清理活动日志的可重现的R工作流程
C Falzone,H Moujahid,N Redon et al.
C Falzone et al.
This article presents a reproducible workflow developed in R to process indoor air quality data by integrating wearable multi sensor measurements with tablet-based activity logs. The data come from two field campaigns in four primary school...
Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes [0.03%]
量子联邦学习在自主车辆网络安全中的应用：架构与威胁态势的分析式回顾
Sowmya T,Raghavendra M Devadas
Sowmya T
With the rapid rollout of autonomous vehicles (AVs), many AV criminal attacks form one of the biggest cybersecurity attack surfaces in contemporary infrastructure. But there are also the AV subsystems-LiDAR, radar, cameras, GPS, CAN buses, ...
Optimizing merchant compliance: A system for product specific rule extraction using NLP [0.03%]
基于NLP的面向特定产品的商家合规规则提取系统及优化方法研究
Atharva Khewalkar,Anuj Walsepatil,Ritesh Phadtare et al.
Atharva Khewalkar et al.
Product quality and safety are crucial in the e-commerce market, particularly for regulated sectors like the food industry, for user protection, and it is the responsibility of the merchants who sell their products to ensure these are maint...
Research on hemodynamic state prediction based on feature-enhanced multi-model ensemble [0.03%]
基于特征增强的多模型集成的血流动力学状态预测研究
Shuai Yan,Minghua Liu,Xiaoyan Wang
Shuai Yan
This study tackles the challenge of accurately inverting neural and vasodilatory signals from BOLD-fMRI data. We propose a novel framework that substantially enhances prediction performance through:•Multi-scale dynamic feature extraction t...