Artificial intelligence-driven internet of things-based green supply chain for carbon reduction in sustainable manufacturing [0.03%]
基于人工智能的物联网绿色供应链在可持续制造中的碳减排作用
Luyao Zhang,Nisreen Innab,Shuhaida Mohamed Shuhidan et al.
Luyao Zhang et al.
Recent advancements in sustainable business practices and information technology trends have led to the rise of green smart supply chains. These green sustainable supply chains are a novel approach that involves information technology to en...
A heterogeneity of water and sediment nitrogen removal patterns in shallow lakes: implications for lake management [0.03%]
浅水湖泊中氮迁移类型的异质性及湖泊管理意义
Yuyu Ji,Wenqing Shi,Justin Brookes et al.
Yuyu Ji et al.
Large shallow lakes are strongly influenced by wind-induced wave disturbances, which lead to the transportation of nutrients from sediments into the water column, potentially facilitating more active nitrogen removal processes in the water ...
Jiahua Zhao,Minglin Wang,Saisai Hong et al.
Jiahua Zhao et al.
In the context of the escalating global environmental, social, and governance (ESG) risks, ESG performance has increasingly become a crucial reference for companies when formulating business strategies. This paper, drawing on the informatio...
Growth stage-specific modulation of resource acquisition, resource allocation, and growth-defense trade-offs in Brassica napus L. growing in an agrophotovoltaic system to enhance crop yield [0.03%]
在 agrivoltaic 系统中生长的油菜通过生长阶段特异性调节资源获取、资源分配和生长与防御之间的权衡以提高作物产量
Tong Wang,Jirui Gong,Weiyuan Zhang et al.
Tong Wang et al.
Agrophotovoltaic systems (APV) combine solar power generation with agricultural production, thereby alleviating increasingly fierce competition for land between food and energy production. How changes in the microenvironment by APV in diffe...
Market tools for achieving carbon unlocking: Is China's energy-consumption trading policy effective? [0.03%]
实现碳解锁的市场工具效果如何——基于中国能耗权交易政策的经验研究
Shimei Weng,Ramzi Benkraiem,Xuan-Hoa Nghiem et al.
Shimei Weng et al.
In the context of the current shift from "dual control" of energy consumption to "dual control" of carbon emissions, formulating reasonable energy policies is crucial for breaking free from a high-carbon development path and promoting a tra...
Auto-photocatalytic valorization of ZnS into ZnS/ZnO nanocomposite using O3/UV oxidation for photocatalytic dye degradation [0.03%]
利用O3/UV氧化法将ZnS原位光催化转化为ZnS/ZnO纳米复合材料降解染料
Jamshid Behin,Pegah Amiri,Sahar Ghabaee
Jamshid Behin
Cost-effective valorization of zinc sulfide (ZnS), by-product from desulfurization of zinc oxide (ZnO), poses a significant challenge due to energy requirement under high temperature and reaction time. This study introduces an innovative sy...
Farmers' behavioral intention towards pesticide safety in Nepal: An assessment of the extended theory of planned behavior [0.03%]
尼泊尔农民农药安全行为意愿评估：扩展计划行为理论应用
Utkal Sapkota,Sarmila Adhikari,Govinda Bhandari
Utkal Sapkota
Unsafe use of chemical pesticides has become a major public health and environmental issue in the horticultural domain of developing countries, including Nepal. To understand the demographic and psychometric factors behind the pesticide saf...
Policy gaps, actor dynamics, and implementation challenges in sustainable medical waste management in Bangladesh [0.03%]
巴布亚新几内亚可持续医疗废物管理的政策缺口、行为者动态和实施挑战
Md Monirul Islam,Shahaduz Zaman,Jannatul Ferdous et al.
Md Monirul Islam et al.
Sustainable solid waste management is crucial for development, contributing to public health, environmental protection, and economic stability. Effective practices reduce pollution, mitigate greenhouse gas emissions, and conserve resources ...
Performance analysis of machine learning algorithms for the prediction of disinfection byproducts formation during chlorination: Effect of background water characteristics [0.03%]
基于氯化过程中消毒副产物形成的机器学习算法性能分析：背景水特征的影响
Gamze Ersan,Eda Goz,Tanju Karanfil
Gamze Ersan
This study investigated the comparison of the nonlinear machine learning algorithms and linear regression models to predict the formation of trihalomethanes (THM4), haloacetic acids (HAA5 and HAA9), and haloacetonitriles (HAN4 and HAN6) und...
Air quality monitoring and mitigation through time series forecasting and stochastic optimization [0.03%]
基于时间序列预测和随机优化的空气质量监测与防控模型研究
Simon Helyar,Aliaa Alnaggar
Simon Helyar
Poor air quality poses significant threats to public health and environmental sustainability. To mitigate such risks, accurate air quality prediction is essential to inform intervention policies that effectively reduce pollutant levels. Whi...