This study investigates the capabilities, performance outcomes, and barriers of drones applied to humanitarian logistics (HL). A systematic literature review was conducted to synthesize prior research on drones and cumulatively identify current knowledge gaps which require further investigation. In order to identify the relevant literature on the topic, a rigorous research protocol was applied for the retrieval and selection processes. In total, 142 publications fulfilled the selection criteria and were thoroughly analyzed.
Roaa Al Feel, an early-career researcher, discusses her passion for using data science for social good. She uses data to reflect living conditions of society, and in the paper published with Patterns in November, the team explores machine learning techniques for the detection of fake news around the Syrian war, demonstrating the efficacy of meta-learning techniques when tackling datasets of a modest size.
Behavioral science approaches to promoting sustainable action have mainly focused on cognitive processes, whereas the role of emotions has received comparably little attention. However, emotions have a great but currently not fully exploited potential to contribute to a sustainable behavior change. In this perspective, we summarize recent research emphasizing the central and indispensable role of emotion in human thinking and judgment.
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.
