Double deep reinforcement learning twin-delayed agents for performance improvement of a grid-connected wave energy conversion system See

This study introduces a novel approach using two deep learning agents, trained with the twin-delayed deep deterministic policy gradient (TD3) algorithm, to replace the PI controllers used for the control of grid-connected Archimedes Wave Swing (AWS) wave energy conversion systems. The genera...

Waste Prevention and Minimisation in Western Consumer Behaviour: Is It Attainable? See

By delving into the waste crisis in Western hyperconsumerist societies as an analytical case study, this study advances an actionable theory of minimalism to address systemic overproduction and overconsumption. Drawing on the interdisciplinary literature, the study analyses the structural, cultural,&#...

A decision-tree model to evaluate the impacts of workforce investments aimed at strengthening emergency obstetric and neonatal care (EmONC) facilities in Burundi See

Introduction: Human resources for health (HRH) in low- and middle income countries (LMICs) are often allocated irrationally based on normative policies that ignore service delivery patterns and health outcomes, failing to account for costs and expected benefits. To help Burundi ration...

Creating social impact: A critical outlook on social entrepreneurship education See

Drawing on social cognitive theory, we critically argue that the current focus of social entrepreneurship academic programmes on ‘venture creation’ limits graduates' potential to create a lasting social impact. We identify four specific limitations in that direction. We propose a novel f...

Characterisation of rate-dependent mode-II adhesive debonding based on a novel load–displacement curve parametrisation See

In this study, the mode-II rate dependence of an epoxy adhesive is investigated using end-notched flexure (ENF) tests conducted over loading speeds ranging from 0.1 to 5000 mm/min. To address the pronounced scatter typically observed in mode-II debonding tests, as well as the ...

Identifying and understanding significant change due to drift when assessing AI models in healthcare: a narrative review See

Artificial intelligence (AI) as a Medical Device (AIaMD) or medical devices that use AI algorithms—like any other medical device—must meet the requirements of medical device regulation. For regulatory purposes, the most relevant requirement is that the developer must provide evidence that th...

Ab Initio Molecular Dynamics Study of An Equiatomic Twenty-Element High Entropy Amorphous Alloy See

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Bamboo-derived carbon induced self-assembly of Mg-modulated Ni–Co layered hydroxide heterostructures for high-performance asymmetric supercapacitors See

Bamboo is an abundant and fast-growing lignocellulosic resource with considerable potential as a sustainable precursor for functional carbon materials. In this work, bamboo-derived carbon microspheres were employed to induce the self-assembly of Mg-modulated Ni-Co layered hydroxide heterostructures, forming...

Modern Art and Radcliffe‑Brown's Scientific Aesthetics See

Modern art was arguably a major inspiration for the social structural approach pioneered by A.R Radcliffe-Brown. This suggestion is counter-intuitive, given that Radcliffe-Brown is known to have advocated a scientific rather than humanistic approach to the study of social life. However, duri...