Results 111 to 120 of about 104,523 (272)

LIMING EFFECT ON SOIL HEAVY METALS AVAILABILITY [PDF]

Poljoprivreda, 2013
The aim of this paper was to determine the influence of acid soils liming and initial soil acidity as well as organic matter content on availability of four heavy metals m(Zn, Pb, Cr and Cd).
Krunoslav Karalić, Zdenko Lončarić, Brigita Popović, Vladimir Zebec, Darko Kerovec   +4 more
doaj  

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Effect of Nitrogen Fertilization and Liming on Rye-Ryegrass Yield and Soil pH Dynamics [PDF]

Using ammonium based nitrogen fertilizers in crop production has been shown to acidify soils. Lime used to correct soil pH is an important cost to producers.
Biermacher, Jon T., Brorsen, B. Wade, Mosali, Jagadeesh, Tumusiime, Emmanuel   +3 more
core   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Assessing the Market for Poultry Litter in Georgia: Are Subsidies Needed to Protect Water Quality? [PDF]

Concerns about nutrient loads into our waters have focused attention on poultry litter applications. Like many states with a large poultry industry, Georgia recently designed a subsidy program to facilitate the transportation of poultry litter out of ...
Bekchanov, Ulugbek, Collier, Sam, Karali, Berna, Kissel, David, Mullen, Jeffrey D., Risse, Mark L., Rowles, Kristin   +6 more
core   +1 more source

Research on the Detoxification of Municipal Solid Waste Incineration Fly Ash: Organic Acid Washing Pretreatment Coupled With Cement/DDTC Stabilization

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Heavy metals in municipal waste incineration fly ash are potentially harmful to the ecological environment and human health. To mitigate the hazards of fly ash, this study attempts to detoxify fly ash through organic acid washing pretreatment coupled with cement/sodium diethyldithiocarbamate (DDTC) solidification.
Junfeng Pang, Tong Tian, Yaji Huang, Zhicheng Zhu, Zhiyuan Li   +4 more
wiley   +1 more source

Physicochemical Properties of Fly Ash From Waste Incineration Power Plants and Study of Slaking Mechanism

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT With the acceleration of urbanization, the treatment of municipal solid waste (MSW) has become one of the global challenges. The waste incineration process will produce fly ash containing a large amount of heavy metals and organic matter.
Qiang Tan, Liang Wu, Hongman Huang, Pengfei Sheng, Zhaosheng Yu   +4 more
wiley   +1 more source