Global

Elsevier,

Handbook of Algal Biofuels. Aspects of Cultivation, Conversion, and Biorefinery, 2022, Pages 167-179

This chapter advances SDGs 6 & 7 by describing the use of halophilic algae for the desalination of seawater for drinking and other uses.
Elsevier,

Handbook on the Toxicology of Metals (Fifth Edition), Volume I: General Considerations, 2022, Pages 137-182

In this chapter, we review the relevant scientific literature providing insights on health-related effects caused by inhalation of particulate metals, and their potential causal pathways.
For International Day of Persons with Disabilities 2021, Stacy Masucci, publisher for bioscience and translational medicine at Elsevier speaks to Richard Mankin and Kate Nash about the challenges, barriers and opportunities for people who live with disabilities in the context of the global pandemic.
Elsevier,

Child and Adolescent Online Risk Exposure An Ecological Perspective 2021, Pages 255-281

This book chapter advances SDG3 Good Health and Wellbeing and SDG 10 Reducing Inequalities by reviewing existing literature examining youth with disabilities involved in cyberbullying and/or cybervictimization.
This chapter aligns with the SDG goal 3 of good health and wellbeing by showing the use of senolytic therapies for liver disease and inflammation.
Elsevier,

Measuring Sustainable Development Goals Performance, 2022, Pages 139-219

This chapter advances SDGs by explaining how the economist takes part in bridging the gap between science and policy.
Elsevier,

Polycystic Ovary Syndrome, Challenging Issues in the Modern Era of Individualized Medicine, 2022, Pages 23-38

Focuses on the evidence for PCOS pathogenesis in women and underlying molecular gateways enabling its development during hyperandrogenic gestations in animal models. Support the SDG target 3.7.1 Proportion of women of reproductive age (aged 15–49 years) who have their need for family planning satisfied with modern methods.
In this article, we pursue the automatic detection of fake news reporting on the Syrian war using machine learning and meta-learning. The proposed approach is based on a suite of features that include a given article's linguistic style; its level of subjectivity, sensationalism, and sectarianism; the strength of its attribution; and its consistency with other news articles from the same “media camp”. To train our models, we use FA-KES, a fake news dataset about the Syrian war.
Background: Nearly 40% of the world's population is exposed daily to household air pollution. The relative impact of prenatal and postnatal household air pollution exposure on early childhood pneumonia, a leading cause of mortality, is unknown. Research Question: Are prenatal or postnatal household air pollution, or both, associated with pneumonia risk in the first year of life? Study Design and Methods: The Ghana Randomized Air Pollution and Health Study enrolled 1,414 nonsmoking, pregnant women before 24 weeks’ gestation with prospective follow-up to the child's age of 1 year.

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