Elsevier, Current Research in Green and Sustainable Chemistry, Volume 4, January 2021
Porous liquids form a new class of materials, which are liquid at room temperature and possess permanent porosity. The latter is a characteristic generally associated with solid-state only. Since the idea of porous liquid was exploited over a decade ago, the researchers see an opportunity of solving the solid material's limitation in gas capture and separation. In this discussion, we present the most recent developments on porous liquids and, in our perspectives, how they can tackle energy and environmental issues by their coupling with membrane technology.
Elsevier, The Lancet Planetary Health, Volume 5, January 2021
Background: The association of air pollution with multiple adverse health outcomes is becoming well established, but its negative economic impact is less well appreciated. It is important to elucidate this impact for the states of India. Methods: We estimated exposure to ambient particulate matter pollution, household air pollution, and ambient ozone pollution, and their attributable deaths and disability-adjusted life-years in every state of India as part of the Global Burden of Disease Study (GBD) 2019.
Elsevier, Journal of Steroid Biochemistry and Molecular Biology, Volume 205, January 2021
Background and Purpose: Altered cholesterol metabolism is associated with increased risk of neurodegeneration and in particular with the development of Alzheimer's disease (AD). Here, we investigate whether non-cholesterol sterols and oxysterols in the central nervous system are associated with (i) the presence of cerebral AD pathology, (ii) distinct aspects of AD pathology, i.e. amyloid pathology, neuronal injury, and tau pathology, and (iii) cognitive decline over time.
Elsevier, Medical Image Analysis, Volume 67, January 2021
The enormous social and economic cost of Alzheimer's disease (AD) has driven a number of neuroimaging investigations for early detection and diagnosis. Towards this end, various computational approaches have been applied to longitudinal imaging data in subjects with Mild Cognitive Impairment (MCI), as serial brain imaging could increase sensitivity for detecting changes from baseline, and potentially serve as a diagnostic biomarker for AD. However, current state-of-the-art brain imaging diagnostic methods have limited utility in clinical practice due to the lack of robust predictive power.
Elsevier, Wellbeing, Space and Society, Volume 2, January 2021
In 2006, the National Health Service commenced with assuming responsibility for the delivery and commissioning of mental healthcare services in prisons within the UK. Previous research has indicated that some prison environments may present challenges to the delivery of mental healthcare for prison populations. The present study aimed to explore the experiences of staff working in NHS offender health teams to identify the sources of adversity that frontline staff may encounter when providing mental healthcare in prison settings.
Elsevier, Wellbeing, Space and Society, Volume 2, January 2021
Suffering has been a topic of considerable discussion in the fields of medicine and palliative care, yet few studies have reported causal evidence linking the experience of suffering to health and well-being. In this three-wave prospective cohort study, we explore the potential psychological implications of suffering during the COVID-19 pandemic by examining relations among suffering, mental health, and psychological well-being in a sample of U.S. adults living with chronic health conditions.
Elsevier, Current Research in Food Science, Volume 4, January 2021
Non-destructive testing techniques have gained importance in monitoring food quality over the years. Hyperspectral imaging is one of the important non-destructive quality testing techniques which provides both spatial and spectral information. Advancement in machine learning techniques for rapid analysis with higher classification accuracy have improved the potential of using this technique for food applications. This paper provides an overview of the application of different machine learning techniques in analysis of hyperspectral images for determination of food quality.
Elsevier, Current Research in Food Science, Volume 4, January 2021
This study was conducted to assess the self-reported and observed food safety practices (FSP) of food handlers, who deliver food products that are prepared and cooked at home during the COVID-19 pandemic in the Philippines. 751 participated in the online survey who were selected using criterion sampling. A questionnaire developed by the researcher was used to gather data with Cronbach Alpha of 0.91. t-test, ANOVA, and Fleiss kappa were performed to treat data.
Elsevier, Food Quality and Preference, Volume 87, January 2021
The consumption of meat contributes significantly to undesirable effects on the environment. In order to reduce the impact of animal husbandry, one approach is to decrease meat consumption by substituting plant-based meat alternatives. Because the consumption of such meat alternatives is currently rather low, the aim of this research was to identify the barriers that keep people from consuming meat alternatives and increase the probability of future consumption.
Elsevier, Trends in Food Science and Technology, Volume 107, January 2021
Background: Fake meat industry is expected to grow and to be worth $140 billion by 2030. Alternative protein can be produced by plant or microbe. Animal-free dairy protein can be produced by fermentation in microflora. Scope and approach: In order to improve the real production, many companies are focusing on fermentation for animal-free meat, eggs, and dairy respectively. Key findings and conclusions: However, their production capabilities, efficiencies, and costs are not available in public respectively. This paper reports briefly what is going on in sustainable protein alternatives.