History records show that pandemics and threats have always given new directions to the thinking, working, and learning styles. This article attempts to thoroughly document the positive core of coronavirus 2019 (COVID-19) and its impact on global social psychology, ecological stability, and development. Structural equation modeling (SEM) is used to test the hypotheses and comprehend the objectives of the study. The findings of the study reveals that the path coefficients for the variables health consciousness, naturalism, financial impact and self-development, sustainability, compassion, gregariousness, sympathy, and cooperation demonstrate that the factors have a positive and significant effect on COVID-19 prevention. Moreover, the content analysis was conducted on recently published reports, blog content, newspapers, and social media. The pieces of evidence from history have been cited to justify the perspective. Furthermore, to appraise the opinions of professionals of different walks of life, an online survey was conducted, and results were discussed with expert medical professionals. Outcomes establish that the pandemics give birth to creativity, instigate innovations, prompt inventions, establish human ties, and foster altruistic elements of compassion and emotionalism.
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http://dx.doi.org/10.1007/s11356-022-20387-8 | DOI Listing |
BMC Psychol
January 2025
Faculty of Education, Northeast Normal University, Changchun, 130022, China.
Background: The positive association of parental phubbing with internalizing and externalizing problems among adolescents has gained academic traction. However, current researches on the negative impacts of parental phubbing have focused primarily on adolescents, with a noticeable lack of studies concerning preschool children, and there is also a deficiency in investigations from the perspective of the Risky Family Model. These gaps limit our understanding of how parental phubbing affects problem behaviors among preschool children.
View Article and Find Full Text PDFPart Fibre Toxicol
January 2025
State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Suzhou Medical School, Soochow University, Suzhou, Jiangsu, 215123, China.
Background: The advancement of nanotechnology underscores the imperative need for establishing in silico predictive models to assess safety, particularly in the context of chronic respiratory afflictions such as lung fibrosis, a pathogenic transformation that is irreversible. While the compilation of predictive descriptors is pivotal for in silico model development, key features specifically tailored for predicting lung fibrosis remain elusive. This study aimed to uncover the essential predictive descriptors governing nanoparticle-induced pulmonary fibrosis.
View Article and Find Full Text PDFNat Food
January 2025
Columbia Climate School, Columbia University, New York, NY, USA.
Due to complex interactions, changes in any one area of food systems are likely to impact-and possibly depend on-changes in other areas. Here we present the first annual monitoring update of the indicator framework proposed by the Food Systems Countdown Initiative, with new qualitative analysis elucidating interactions across indicators. Since 2000, we find that 20 of 42 indicators with time series have been trending in a desirable direction, indicating modest positive change.
View Article and Find Full Text PDFSci Rep
January 2025
School of Public Administration, Hohai University, Nanjing, 211100, China.
The Yellow River Basin is China's grain production base and ecological barrier, with an important strategic position. Therefore, it is of great significance to analyze spatiotemporal pattern of ecosystem services and agricultural green, and further exploring the driving mechanism of coordination using the GTWR model to examine how the Yellow River Basin's agriculture evolve sustainably. The results indicate that: (1) In 2011-2021, the Yellow River Basin's ecosystem service value showed a state of growth first and then decline, indicating that the decrease trend cannot be ignored; the Yellow River Basin has seen a steady rise in agricultural green level, with regional disparities progressively disappearing.
View Article and Find Full Text PDFNPJ Syst Biol Appl
January 2025
The Joint BioEnergy Institute, Lawrence Berkeley National Laboratory, Emeryville, CA, 94608, USA.
Genome-scale metabolic models (GSMM) are commonly used to identify gene deletion sets that result in growth coupling and pairing product formation with substrate utilization and can improve strain performance beyond levels typically accessible using traditional strain engineering approaches. However, sustainable feedstocks pose a challenge due to incomplete high-resolution metabolic data for non-canonical carbon sources required to curate GSMM and identify implementable designs. Here we address a four-gene deletion design in the Pseudomonas putida KT2440 strain for the lignin-derived non-sugar carbon source, p-coumarate (p-CA), that proved challenging to implement.
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