Results 101 to 110 of about 1,427,908 (343)
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 +4 more
wiley +1 more source
Scientific ReportsAccurately discerning lead–zinc open pit mining areas using traditional remote sensing methods is challenging due to spectral signature class mixing. However, machine learning (ML) algorithms have been implemented to classify satellite images, achieving ...
Abhishek Kumar Ojha +2 more
doaj +1 more source
Risk Assessment of Heavy Metals in Soils of a Lead-Zinc Mining Area in Hunan Province (China)
, 2017 Eighty-two soil samples were collected, and As, Pb, Cd, Zn, Cu and Ni were analysed for their concentrations, potential ecological risks and human health risks.
Hu Shunhong +5 more
semanticscholar +1 more source
Seasonal variation of some trace metal concentrations in some fish species on stretch of River Kubanni, Zaria [PDF]
, 2005 In a semi-urbanized stretch of river Kubanni, Zaria, seasonal variations of some tree metals (copper, zinc and lead) in fish species (Clarias sp., Tilapia sp and Alestes sp) were investigated over a period of eight months.
Adakole, J.A., Mbah, C.E.
core
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Інтродукція Рослин, 2000 Some regularities of distribution of the mobile forms of iron, manganese, zinc in soils adjacent to the Northern ore mining-and-processing integrated works (Kryvbass) under various vegetative associations (steppe cenoses, forest shelter belts ...
V.M. Savosko
doaj +1 more source
Modeling Regulation of Zinc Uptake via ZIP Transporters in Yeast and Plant Roots [PDF]
, 2012 In yeast (Saccharomyces cerevisiae) and plant roots (Arabidopsis thaliana) zinc enters the cells via influx transporters of the ZIP family. Since zinc is both essential for cell function and toxic at high concentrations, tight regulation is essential for
Chavarría-Krauser, Andrés +1 more
core +4 more sources
AI &Innovation, EarlyView.ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Bioleaching Of Zinc: Eco Friendly Mining
, 2016 The research work presented in this paper is on a Biomining The estimated annual demand for zinc in India is approximately 2.41 lakh tones; against this, the present installed capacity in the country for zinc ingots is 1.49 lakh tonnes only. There is, thus still a wide gap in the demand and supply of this metal in the country.
openaire +1 more source
American Journal of Industrial Medicine, EarlyView.ABSTRACT Background Mining workers are exposed to a range of respiratory hazards, including respirable dust. While exposure to respirable crystalline silica in the mining industry has been found to be common, less is known about trends in measured levels of exposure to respirable dust overall.
Renee N. Carey +4 more
wiley +1 more source