Modeling enteric methane emission from dairy cows using deep learning approach [0.03%]
基于深度学习构建奶牛肠道甲烷排放预测模型
Amir Sahraei,Deise Knob,Christian Lambertz et al.
Amir Sahraei et al.
This study explores the application of deep learning (DL) models to predict methane (CH4) emissions from enteric fermentation in dairy cows using performance, feeding, behavioral and weather data from automated milking and feeding systems, ...
Occurrence and environmental risk assessment of pesticides reveal important threats to aquatic organisms in precordilleran rivers of north-central Chile [0.03%]
智利中部北部河流中农药的出现及其对水生生物环境风险的重要威胁
Nicolas Gouin,Angéline Bertin,Daniel D Snow et al.
Nicolas Gouin et al.
While pesticides are essential for food production, their widespread use poses environmental risks beyond lowland areas. Recent evidence indicates that mountain ecosystems are also vulnerable due to both local agriculture and long-range atm...
Letter to the Editor regarding "Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints" by Song et al. (2024), Sci. Total Environ. 950 175091 [0.03%]
关于宋等人发表在《科学总环境》第950期第175091页的“基于分子指纹的机器学习模型预测PFAS在不同植物组织中的生物累积”的读者来信
Souichi Oka,Yoshiyasu Takefuji
Souichi Oka
Song et al. (2024), "Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints," employed machine learning methods, such as XGBoost and SHapley Additive exPlanations (SHAP), t...
Human impact on the functional diversity of Gerromorpha (Hemiptera: Heteroptera) and differential sexual dimorphism responses in Amazonian aquatic ecosystems [0.03%]
人类活动对亚马逊水域生态系统半翅目 Gerrymorpha 功能多样性和不同性二态性反应的影响
Alana Patricia Meguy Guterres,Erlane José Cunha,Felipe Ferraz Figueiredo Moreira et al.
Alana Patricia Meguy Guterres et al.
Human activities impact the morphology and function of species, especially in aquatic ecosystems. However, little is known about how these effects influence intraspecific variation associated with sexual dimorphism. Therefore, it is essenti...
Improving swine wastewater anaerobic digestion via granular activated carbon, zero-valent iron, and nano-magnetite [0.03%]
用于改善猪废水厌氧消化的粒状活性炭、零价铁和纳米磁铁矿
Naassom Wagner Sales Morais,Marcos Vinícius Domingos Araújo da Silva,Rennan Guthierrez Nunes do Nascimento et al.
Naassom Wagner Sales Morais et al.
Using electron-conducting materials (ECMs) is a strategy to boost anaerobic digestion (AD). However, research commonly investigates high doses of ECMs, often higher than the sludge concentration in the reactors, making AD more expensive and...
Experimental and numerical investigations on the fresh-saline water interface dynamics in a coastal aquifer due to saline groundwater pumping [0.03%]
有关沿海含水层盐水地下水抽取引起淡水咸水界面运动的实验和数值研究
Dhanya Narayanan,T I Eldho
Dhanya Narayanan
In coastal aquifers, pumping from the dispersion zone extracts intruded saltwater into saline groundwater (SGW). There has been limited research on visualizing and evaluating situations when well screens capture saltwater and the extent of ...
Microplastic consumption elevates fish oxidative stress but does not affect predator-driven mortality [0.03%]
微塑料摄入提升了鱼类氧化压力但不影响捕食者驱动的死亡率
Amelia M Mannering,David J Burritt,Valeriya Komyakova et al.
Amelia M Mannering et al.
The ubiquity and abundance of plastic debris is one of the most significant challenges facing marine environments. Recent research has demonstrated that microplastics are consumed by marine organisms from a wide variety of trophic levels. H...
Economic viability and environmental impact: A dual approach to sustainable REE production from bastnasite using a density-based sorting machine [0.03%]
经济可行性和环境影响：使用基于密度的分选机从氟碳硼石中可持续提取稀土元素的双重方法研究
Sheida Nili,John S Thella,Seyedmehdi Sharifian et al.
Sheida Nili et al.
Meeting the rising demand for rare earth elements (REEs) requires production methods that are both sustainable and economically viable. Techno-economic analysis (TEA) and life cycle assessment (LCA) provide a comprehensive framework for eva...
Deep learning-based forecasting of daily maximum ozone levels and assessment of socioeconomic and health impacts in South Korea [0.03%]
基于深度学习的韩国每日最大臭氧浓度预测及社会经济和健康影响评估
Seyedeh Reyhaneh Shams,Yunsoo Choi,Deveshwar Singh et al.
Seyedeh Reyhaneh Shams et al.
Accurate forecasting of ground-level ozone (O3) is essential for assessing its public health and socioeconomic impacts. This study evaluates the performance of three deep learning models-Deep Convolutional Neural Networks (Deep-CNN), Long S...
Environmental exposure assessment in the international prospective study of Chronic Kidney Disease of UnceRtain Etiology (CKDu) in Agricultural Communities (CURE) research consortium: Design and protocol development [0.03%]
国际农业社区慢性肾病病因不明慢性肾脏疾病（CKDu）的国际前瞻性研究环境暴露评估：设计与计划开发
Marvin González-Quiroz,Anna Aceituno,Shuchi Anand et al.
Marvin González-Quiroz et al.
Background: Chronic kidney disease of unknown etiology (CKDu) is a major health concern among outdoor manual workers in rural Central America and South Asia. The CURE study is a prospective longitudinal cohort designed to...