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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.
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.
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.
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.

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