GLOBAL TREND AND DISPARITY IN THE BURDEN OF THYROID CANCER ATTRIBUTABLE TO HIGH BODY-MASS INDEX FROM 1990 TO 2021 AND PROJECTION TO 2049: A SYSTEMATIC ANALYSIS BASED ON THE GLOBAL BURDEN OF DISEASE STUDY 2021

Global trend and disparity in the burden of thyroid cancer attributable to high body-mass index from 1990 to 2021 and projection to 2049: a systematic analysis based on the Global Burden of Disease Study 2021

Background Obesity and overweight are increasingly recognized as significant risk factors for the incidence and progression of thyroid cancer (TC).However, its epidemiological investigation including the disease burden and its trends remains insufficiently explored.This research aimed to reveal and predict the disease burden of thyroid cancer attri

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American model of industrial areas revitalization

Chronological and structural analysis of USA government policy to old industrial areas (OIRs) in the end of 20th - the beginning of the 21th centuries is carries out.Authors mark out government policy main stages and determine the role of different level authorities Pacifier Cloth in OIRs revitalization.Research results demonstrate the federal gove

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The Composition and Spatial Patterns of Bacterial Virulence Factors and Antibiotic Resistance Genes in 19 Wastewater Treatment Plants.

Bacterial pathogenicity and antibiotic resistance are of concern for environmental safety and public health.Accumulating evidence suggests that wastewater treatment plants (WWTPs) are as an important sink and source of pathogens and antibiotic resistance genes (ARGs).Virulence genes (encoding virulence factors) are good indicators for bacterial pat

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Effects of nitrogen application on ammonium assimilation and microenvironment in the rhizosphere of drip-irrigated sunflower under plastic mulch

This study investigated the effect of nitrogen application on the rhizosphere soil microenvironment of sunflower and clarified the relationship between ammonium assimilation and the microenvironment.In a field experiment high (HN, 190 kg/hm2), medium (MN, 120 kg/hm2) and low nitrogen (CK, 50 kg/hm2) treatments were made to replicate plots of sunflo

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Offloading Mechanisms Based on Reinforcement Learning and Deep Learning Algorithms in the Fog Computing Environment

Fog computing has emerged as a computing paradigm for resource-restricted Internet of things (IoT) devices to support time-sensitive and computationally intensive applications.Offloading can be utilized to transfer resource-intensive tasks from resource-limited end devices to a resource-rich fog or cloud layer to reduce end-to-end latency and enhan

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