Community energy can be conceptualized as a social movement, which aims to develop a sustainable, democratic, and localist energy system. Increasingly, community energy initiatives aim to develop citizen-led heating projects. District heating projects are characterized by costly investments, a substantial …

Calls have been made for improving transparency in conducting and reporting research, improving work climates, and preventing detrimental research practices. To assess attitudes and practices regarding these topics, we sent a survey to authors, reviewers, and editors. We received 3,659 (4.9%) responses …

Objectives There is a broad call for change towards € new era' quality systems in healthcare, in which the focus lies on learning and improving. A promising way to establish this in general practice care is to combine audit and feedback with peer group discussion. However, it is not known what different …

Over the past year, the governance of supplier finance has risen even higher up the agenda for regulators, rating agencies, auditors, and corporates as its perceived role in the high-profile collapse of several corporates comes under scrutiny. The topic of disclosure has become one of more heated debate …

Recommenders play a significant role in our daily lives, making decisions for users on a regular basis. Their widespread adoption necessitates a thorough examination of how users interact with recommenders and the algorithms that drive them. An important form of interaction in these systems are algorithmic …

Introduction: Worldwide, there is an increase in the extent and severity of mental illness. Exacerbation of somatic complaints in this group of people can result in recurring ambulance and emergency department care. The care of patients with a mental dysregulation (ie, experiencing a mental health problem …

Purpose: Small and medium-sized entities (SMEs) operating in the alternative financing sector are typically heterogenous in nature making them differ greatly from traditional banks. Where traditional banks must comply with strict banking regulations, developing uniform regulations for the alternative …

Multilevel models using logistic regression (MLogRM) and random forest models (RFM) are increasingly deployed in industry for the purpose of binary classification. The European Commission’s proposed Artificial Intelligence Act (AIA) necessitates, under certain conditions, that application of such models …

Data analysis and data sharing is becoming increasingly important for creating value in the food supply chain. Readily available data is often already shared between supply chain parties, but to achieve additional benefits these parties will have to invest in additional data capturing. Especially product …

Social networks and news outlets use recommender systems to distribute information and suggest news to their users. These algorithms are an attractive solution to deal with the massive amount of content on the web [6]. However, some organisations prioritise retention and maximisation of the number of …