The Budyko framework provides a reliable parameter-sparse representation of runoff changes, and reveals that terrestrial water cycle is changing substantially under climate change.
This Comment article supports SDGs 3 and 10; Muneera Rasheed presents some guidelines for decolonisation in global health research, highlighting the need to challenge current systems to fight power asymmetries in the context of academic research partnerships between high-income and low-income countries and other behaviours that undermine equitable collaboration.
This book chapter advances SDGs 7 and 9 by connecting exergy with three essential areas in terms of energy, environment and sustainable development.
Concern exists over gender (and other) bias embedded in widely-used AI systems and models. Authors built an open-source tool to help detect bias in classification models: helps to show whether or not AI model is unbiased. Aim to contribute towards action to mitigate the socially harmful effect of machine bias.
Drug repurposing aims to find new uses for already existing and approved drugs. We now provide a brief overview of recent developments in drug repurposing using machine learning alongside other computational approaches for comparison. We also highlight several applications for cancer using kinase inhibitors, Alzheimer's disease as well as COVID-19.
Ketogenic diets consist of low carbohydrate/high fat, shifting energy reliance from glucose to ketone bodies. Ketone diester supplement to a standard diet (ketone ester) increases ketone bodies by adding a substance without altering other consumed foods. We evaluated weight, glucose, and ketone concentrations in rats fed ketogenic diet and ketone ester feeds. We hypothesized that these feeds would increase ketones and decrease glucose and weight. We tested 16 male and 16 female Sprague Dawley rats randomly assigned to standard diet, ketogenic diet, or ketone ester for two weeks.
In an explorative, cross-cultural survey, we assessed the underlying cultural concepts of meat, evaluated consumer readiness in four groups of study participants from China (20), India (20), Colombia (20), and Switzerland (20). In addition, study participants and lay people around the world used an app to make their own predictions on important future milestones defined by experts in the field, as a contribution towards a crowd-sourced timeline of the future of cultured meat.
Recent findings and emerging trends concerning the role of affect and emotion in climate change perceptions and judgments as well as their potential as drivers of sustainable action are reviewed. The affective responses people experience toward climate change are consistently found to be among the strongest predictors of risk perceptions, mitigation behavior, adaptation behavior, policy support, and technology acceptance.
Environmental values and identities, at the personal and group level, motivate individuals’ climate actions. Many individuals report having strong environmental values and self-identities, and thus appear personally motivated to support and take climate action. To achieve society-wide climate action, we argue that it is critical to fully use this personal motivational base for climate action by, for instance, emphasizing the environmental benefits of climate actions and reminding people of their past pro-environmental actions.
The fact that a behavior can be instrumental for multiple goals does not logically entail that people are typically propelled into action for multiple reasons. On the contrary, goal-directed behavior in the real world is, in a given instance, aimed at one focal goal. In this article, I present the Campbell paradigm, in which a particular behavior is controlled by a single reason or goal. To identify the very reason (i.e.
