Articles

Elsevier,

Engineering Applications of Artificial Intelligence, Volume 133, July 2024

With evident relevance to SDG 6, the research explores a water pollution control technology evaluation model based on the Pythagorean language neutrosophic set (PLNS) in the context of the pulp and paper industry. The authors' model aims to assist in the choice of appropriate water pollution control technology for those working within the paper industry. It is tested in an example based in China.
Elsevier,

The Lancet Child and Adolescent Health, Volume 8, March 2024

Adolescent girls are not receiving the support they need to thrive and are continuously disadvantaged by inattention and broad inequalities that limit their tremendous potential. Their potential is enormous—as is their belief in a better future.
Elsevier,

The Lancet Psychiatry, Volume 11, March 2024

This primary research Article looks at the effects of being able to access community perinatal mental health teams compared with living in regions where those teams were not available. The study found that, among women with a pre-existing mental disorder, the availability of community perinatal mental health teams reduced the post-natal risk of acute relapse and increased the use of secondary mental health care.
Elsevier,

Water Research, Volume 252, 15 March 2024

In this study, we introduced an integrated assessment framework, and estimated both quality and quantity-related Water Scarcity Index (WSI), local economic water scarcity risk (WSR), and the cascading virtual WSR observed in global trade markets across 40 major economies spanning from 1995 to 2010. Results show that developing countries had rapid growth in both quantity and quality-related WSI, while major developed economies experienced a modest increase in water stress but mitigated quality-related risks, suggesting imbalanced progress towards SDG 6 across countries. 
Elsevier,

The Lancet, 2024, ISSN 0140-6736, https://doi.org/10.1016/S0140-6736(23)02799-X.

This paper is about empowering women during the menopause and argues that an over-simplified narrative of menopause as a health problem to be solved by replacing hormones is not based on evidence and deflects attention from the need for substantial societal shifts in how menopause, and midlife/older women in general, are viewed and treated around the world.
Elsevier,

The Lancet, 2024, ISSN 0140-6736, https://doi.org/10.1016/S0140-6736(23)02800-3.

This paper is about premature menopause (before the age of 40) and early menopause (40-44) and highlights the specific research and care needed by women experiencing premature or early menopause.
Elsevier,

The Lancet, 2024, ISSN 0140-6736,
https://doi.org/10.1016/S0140-6736(23)02801-5.

This article is about mental health and menopause and questions the assumption that menopause always causes mental health problems whilst also identifying specific at-risk groups who may need additional support.
Elsevier,

The Lancet, 2024, ISSN 0140-6736,
https://doi.org/10.1016/S0140-6736(23)02802-7.

This paper is about treatment-induced menopause after cancer care. It highlights how treatment-induced menopause can lead to more severe symptoms than natural menopause and these are often overlooked during cancer care – especially in LMICs.
Elsevier,

The Lancet Child and Adolescent Health, Volume 8, February 2024

As a type of violence in intimate relationships, reproductive coercion encompasses a range of behaviours that exert external control over reproductive autonomy, from threats to coerce pregnancy to sabotaging contraception and controlling outcomes of a pregnancy, such as coerced abortion or forced continuation of a pregnancy. At a time when reproductive rights and bodily autonomy are under attack in many countries, and when adolescents (especially transgender and gender-diverse youth) are experiencing large barriers to health care, elucidating core characteristics of reproductive coercion, identifying harm reduction strategies, and preventing relationship abuse and reproductive coercion are of paramount importance.
Elsevier,

The Lancet Regional Health - Europe, Volume 37, February 2024

The results from this study indicate that the AI-based risk assessment predicts later stage breast cancers as high risk among women who currently are sent at home with a negative mammogram.

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