Global

Elsevier, Digital Signal Processing: A Review Journal, Volume 123, 30 April 2022
With the continuous development of human society, people's over-exploitation of nature leads to frequent environmental problems. A large number of floating objects appear on lakes, rivers, reservoirs and other water surfaces. Water floats have seriously damaged the ecological environment and directly threatened the survival and development of human beings. Therefore, for the sustainable development of human beings, we must solve the problem of water pollution. The detection of floating pollutants on water surface is the primary goal of water resource management.
Milk alternatives are compared from an environmental and nutritional point of view for more sustainable food systems.
Identifies funding, research, and development pathways for emissions reduction via carbon capture and storage.
The goal of global food security will be achieved only by improving the qualitative and quantitative traits of crops through exploitation of metabolic pathways involving advanced analytical tools and technologies.
Elsevier,

Hepatic Fibrosis, Mechanisms and Targets, 2022, Pages 175-192

This chapter aligns with the SDG goal 3 of good health and wellbeing by showing the evolution of chronic viral hepatitis from fibrosis, to cirrhosis, and to hepatocellular carcinoma.
This chapter aligns with the SDG goal 3 of good health and wellbeing by showing the role of the IFITM1 protein in the hepatitis dynamics, obtaining the clearance state when overexpressed.
This research has some implications for the research community. First, an implication from our result is that there is an inverse relationship between change in mobility and COVID- 19 variables. Second, it can be observed that the implementation of stringent policy measures on different forms of mobility helped in reducing the impact of the COVID-19 pandemic; however, with the increased stringency index, there was an adverse impact on people's mental health around the globe.
This chapter provides a systematic review of the current literature investigating COVID-19's impact on mental well-being, as well as studies that explore machine learning and artificial intelligence techniques to detect and treat mental illnesses when traditional therapies are unavailable due to lockdown and social distancing norms imposed.
Background: Human impacts on earth-system processes are overshooting several planetary boundaries, driving a crisis of ecological breakdown. This crisis is being caused in large part by global resource extraction, which has increased dramatically over the past half century. We propose a novel method for quantifying national responsibility for ecological breakdown by assessing nations’ cumulative material use in excess of equitable and sustainable boundaries. Methods: For this analysis, we derived national fair shares of a sustainable resource corridor.
Background: In autoimmune hepatitis (AIH), clinical practice and treatment guidelines frequently diverge as a reflection of disease heterogeneity and challenges in achieving standardised care. We sought to explore the utility of multiparametric (mp) MR in patients with AIH, and the impact of this technology on physicians’ decision making and intended patient management. Methods: 82 AIH patients, recruited from two sites between June and November 2019 as part of an observational cohort study, underwent non-contrast MRI alongside their standard clinical investigations.

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