Background: Although sleep problems in autistic teenagers are associated with impaired daytime functioning, it remains unclear how sleep and daytime functioning are related. Method: We used a network approach to disentangle patterns between sleep, sleep hygiene, and daytime functioning. Over a three-week …

The role of central banks in addressing the emerging challenges posed by climate change has garnered significant attention from practitioners and academics alike. Through meticulous bibliometric analysis, this article reveals the fundamental themes and dynamic trends within this research field. Simultaneously, …

Objective: Acknowledging study limitations in a scientific publication is a crucial element in scientific transparency and progress. However, limitation reporting is often inadequate. Natural language processing (NLP) methods could support automated reporting checks, improving research transparency. …

This paper presents a user-friendly version of Persistent Homology (PH) graph code to model financial market structures and changes. By leveraging Topological Data Analysis (TDA), the code offers an effective approach for analyzing high-dimensional stock data, enabling the identification of persistent …

Purpose: This study assesses the perceived quality of the outcomes in decision-making phases by using the conversational ai approach. Design/Method: The research adopts an experimental design to explore the impact of conversational artificial intelligence (AI) in the separate phases of a decision-making …

In the constantly changing landscape of corporate sustainability, navigating the complex network of ESG reporting standards and frameworks has become a significant challenge for businesses worldwide. This research seeks to improve understanding of ESG reporting and shed light on the complexities of the …

In this paper, we present a digital tool named Diversity Perspectives in Social Media (DivPSM) which conducts automated content analysis of strategic diversity communication in organizational social media posts, using supervised machine-learning. DivPSM is trained to identify whether a post makes mention …

Individuals with mild intellectual disabilities or borderline intellectual functioning are at increased risk to develop a substance use disorder—however, effective treatment programs adapted to this target group are scarce. This study evaluated the effectiveness of Take it Personal!+ in individuals with …

Objectives Providing an overview of the clinimetric properties of the steep ramp test (SRT), a short-term maximal exercise test, to assess cardiorespiratory fitness (CRF), describing its underlying physiological responses, and summarizing its applications in current clinical and research practice. Data …

BACKGROUND: To better understand physical activity behavior and its health benefits in people living with health conditions, we studied people with and without 20 different self-reported health conditions with regard to (1) their physical activity levels, (2) factors correlated with these physical activity …