Elsevier, Global Food Security, Volume 27, December 2020
This paper focuses on the most proximate determinants of dietary intake: food behaviors of caregivers, children and adolescents. Utilizing a case study approach, we explored cultural-ecological factors that have been shown to affect behavioral interventions aimed improving diet quality. The results provide insights about facilitators and barriers to uptake of interventions aimed at improving dietary behaviors in children and adolescents and highlight their implications for planning and monitoring future interventions.
Elsevier, Global Food Security, Volume 27, December 2020
Unhealthy food marketing has long been identified as a systems factor with negative health effects on children. The data-driven, personal data extraction and behavioural design practices of 21st century media advertising in digital technology systems mean that food marketing now sits at the intersection of multiple harms, infringing not only children's rights to health and to food, but also their rights to privacy and to be free from exploitation. This further sharpens the need for State regulation to protect children and their rights effectively.
Elsevier, Global Food Security, Volume 27, December 2020
Building on the Innocenti Framework on Food Systems for Children and Adolescents, this paper describes the significance of a food systems approach to improving children's diets. It summarizes the key learnings on effective intervention design from the papers in this special issue, focusing on the determinants in the framework: food supply chains, food environments, and behaviors of caregivers, children and adolescents. It lays out relevant policy and programmatic implications and organizes these according to the Nuffield ladder of public policy interventions.
Elsevier, Clinical Imaging, Volume 68, December 2020
The COVID-19 pandemic has dramatically altered the professional and personal lives of radiologists and radiation oncologists. This article summarizes the 2020 American Association for Women in Radiology (AAWR) Women's Caucus at the American College of Radiology (ACR) Annual Meeting. The caucus focused on the major challenges that women in radiology have faced during the pandemic.
Elsevier, Leadership Quarterly, Volume 31, December 2020
Managerial oversight is strengthened and firms' strategic performance improved when boards are gender-diverse. Yet the rate of women's appointment to corporate boards is decelerating. This study proposes an explanation for the unexpected attenuation rooted in social movement dynamics, particularly cross-movement influences originating from the contemporary governance reform movement. Seeking to alleviate managerialist tendencies, the governance reform movement has compelled major changes to board structure, composition, and activity, as well as the broader logic surrounding corporate boards.
Elsevier, Computers and Security, Volume 99, December 2020
With regard to computer abuse, the term "malicious insider" tends to be associated with male employees, likely because men commit more crimes relative to women. We draw on the chivalry hypothesis to inform our study and explore whether managers demonstrate gender bias in decision-making regarding insider threats posed by subordinate employees. We recruited managers as participants in our study and randomly assigned them to an "employee gender" condition, wherein half the participants read a scenario with a female offender and half the participants read a scenario with a male offender.
Elsevier, EClinicalMedicine, Volume 29-30, December 2020
Background: Patients from ethnic minority groups are disproportionately affected by Coronavirus disease (COVID-19). We performed a systematic review and meta-analysis to explore the relationship between ethnicity and clinical outcomes in COVID-19. Methods: Databases (MEDLINE, EMBASE, PROSPERO, Cochrane library and MedRxiv) were searched up to 31st August 2020, for studies reporting COVID-19 data disaggregated by ethnicity. Outcomes were: risk of infection; intensive therapy unit (ITU) admission and death. PROSPERO ID: 180654.
Elsevier, International Journal of Critical Infrastructure Protection, Volume 31, December 2020
Early and accurate anomaly detection in critical infrastructure (CI), such as water treatment plants and electric power grid, is necessary to avoid plant damage and service disruption. Several machine learning techniques have been employed for the design of an effective anomaly detector in such systems. However, threats such as from insiders and state actors, introduce challenges in the design of an effective anomaly detector. This work presents a multi-layer perceptron (MLP) based anomaly detector that uses an unsupervised approach to safeguard CI from the adverse impacts of cyber-attacks.
Elsevier, Journal of Molecular Diagnostics, Volume 22, December 2020
The reported number of cases of Acanthamoeba amebic keratitis (AK) is continually increasing. Molecular diagnosis has become the first choice of ophthalmologists for identifying and confirming this clinically problematic diagnosis. However, in-house molecular diagnostic procedures are time-consuming and may not be compatible with the urgency of the situation. In this study, a previous in-house AK-PCR technique was adapted for use on BD MAX (Becton Dickinson, Heidelberg, Germany), a fully integrated, automated platform for molecular biology, for the rapid routine diagnosis of AK.
Reaching the Sustainable Development Goal (SDG) 6 on water and sanitation is fundamentally important and conditional to the achievement of all the other SDGs. Nonetheless, achieving this goal by 2030 is challenging, especially in the Global South. Science lies at the root of sustainable development and is a key to new solutions for addressing SDG 6. However, SDG 6-related scientific outputs are often unknown, forming disconnections between academic world and practitioners implementing solutions.
