Standardization of the Arabic Version of the Adult ADHD Self-Report Screening Scale for DSM-5 (ASRS-5) Among Adults in Saudi Arabia: Variability of ADHD Screening According to Sociodemographic Variables.

Objective: This study investigated the psychometric properties of the Arabic version of the Adult Self-Report Scale-5 (the ASRS-5-AR) within a large sample of adults residing in Saudi Arabia.

Methods: This cross-sectional study applied the ASRS-5-AR to a random sample of 4,299 Saudi and non-Saudi adults, aged 19 to 66 years (31.16 ± 9.

Optimal extreme learning machine for diagnosing brain tumor based on modified sailfish optimizer.

This study proposes a hierarchical automated methodology for detecting brain tumors in Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality and eliminate artifacts or noise. A modified Extreme Learning Machine is then used to diagnose brain tumors that are integrated with the Modified Sailfish optimizer to enhance its performance. The Modified Sailfish optimizer is a metaheuristic algorithm known for efficiently navigating optimization landscapes and enhancing convergence speed.

From Straight Lines to Twists and Turns: Finding Patterns Between Socio-Economics and Unequal Health Outcomes in the Life Course.

Despite welfare state expansion in liberal democracies during the 20th century, health inequalities between socio-economic groups persist. Understanding individuals' lived experiences can inform policy for reducing unequal health outcomes in these lives. We build on Fundamental Cause Theory (FCT), which posits that low socio-economic status is the fundamental cause of health problems in (later) life.

Deficits in emotional cognition among individuals with conduct disorder: theoretical perspectives.

Conduct disorder refers to a persistent and repetitive pattern of problematic behavior, and is usually accompanied by deficits in cognitive processing of emotional stimuli. Behavioral and physiological correlates of these deficits have been the subject of sufficiently many investigations. Meanwhile, several theories concerning conduct disorder have been developed.

Aspect-based sentiment analysis in smart devices: A comprehensive and specialized dataset.

In the ever-evolving landscape of smart devices, understanding user sentiments is crucial for refining technology and enhancing user experiences. This research presents a novel aspect-based sentiment analysis dataset in the domain of smart devices. The dataset compiles user reviews from diverse USA-based benchmark websites like Amazon, Target, and Walmart.

Interprofessional collaboration in fluid teams: an ethnographic study in a Dutch healthcare context.

In caring for clients with combined problems, various professionals are encouraged to work together in new ways. Collaboration is often fluid, and professionals are expected to seek other professionals and organizations to solve complex problems. This type of collaboration is not institutionalized; it may therefore be hard to develop routines compared to fixed teams.

Student-teacher gender congruence and student performance: The role of context.

Student-teacher gender congruence is suggested to be related to increased student performance, but little is known about the contexts in which these effects occur. Based on literature on gender stereotypes this study hypothesizes different effects of student-teacher gender congruence for male and female students across school subjects and in different educational contexts. Using administrative data of secondary schools in The Netherlands ( > 50,000), this study examined to what extent student-teacher gender congruence is associated with male and female students' performance in the subjects math, physics, Dutch language, and French language.

Multi-hazard assessment for flood and Landslide risk in Kalimantan and Sumatra: Implications for Nusantara, Indonesia's new capital.

Situated within the Ring of Fire and characterized by a tropical climate and high seismic activity, Indonesia is uniquely vulnerable to natural disasters such as floods and landslides. These events pose significant threats to both the population and infrastructure. This study predicts areas exposed to flood and landslide risk by considering various environmental factors related to climate, topography, and land use.

The effects of icon design features on user perception and preference: A case study of icons for Covid-19.

The objective of this study is to evaluate users' perceptions and preferences on the design features of the COVID-19 prevention promotion icon from the perspective of users' aesthetic and perceptual needs. In this study, 120 officially published icons from 24 countries and regions were collected from online platforms for ranking tests, and then the top-ranked icons were subjectively rated by the semantic differential method. By evaluating the quality of users' perceptions of multiple semantic dimensions of icons, we extracted the perceptual semantic words that users valued as the main icon design features.

Big data development and agricultural carbon emissions: Exacerbation or suppression? A quasi-natural experiment based on the establishment of the National Big Data Comprehensive Pilot Zone.

As a strategic resource, big data has become a key force affecting carbon emission reduction in agriculture. However, its impacts remain controversial, and relevant empirical evidence remains to be explored. Based on quasi-natural experimental analysis, this study explored the impact and mechanism of the construction of the National Big Data Comprehensive Pilot Zone (NBDCPZ) on agricultural carbon emissions (ACE) in China and adopted a difference-in-difference (DID) model using China's provincial panel data from 2003 to 2020.

Learning community participation: A valuable opportunity for transferring actions and behaviors within the nursing learning and working context?

Aim/objective: Indicating how community participation transfers to application within the nursing learning and working context.

Background: Preparing nurses to drive advances in health care requires the integration of working and learning. Learning communities are therefore recommended to connect students, educational programs and health care organizations.

Healthcare professionals as change agents: Factors influencing bottom-up, personal initiatives on appropriate care, a qualitative study in the Netherlands.

Introduction: Healthcare organisations face multiple challenges, often conceptualised as appropriate care. It requires change on different levels: healthcare systems (macro), healthcare organisations (meso), and healthcare professionals (micro). This study focuses on bottom-up changes initiated by healthcare professionals.

How to strengthen societal impact of research and innovation? Lessons learned from an explanatory research-on-research study on participatory knowledge infrastructures funded by the Netherlands Organization for Health Research and Development.

Background: Scientific research and innovation can generate societal impact via different pathways. Productive interactions, such as collaboration between researchers and relevant stakeholders, play an important role and have increasingly gained interest of health funders around the globe. What works, how and why in research partnerships to generate societal impact in terms of knowledge utilisation is still not well-known.

The antecedents, drivers and outcomes of employee family incivility in the workplace: A systematic review and future research avenues.

Family Incivility has emerged as an important construct that may impact the employee's mental wellbeing and thus affect various organizational outcomes including financial and market related outcomes. The construct however is nascent stage of scholarly research. Thus through a systematic literature review we organise the scholarship till date on the theories, contexts and methods used to explore the construct We also propose a unique framework for employee family incivility and its impact on workplace that identifies and maps the antecedents, drivers and outcomes of family incivility.

Health behavior interventions among people with lower socio-economic position: a scoping review of behavior change techniques and effectiveness.

Background: Behavior change interventions can unintendedly widen existing socio-economic health inequalities. Understanding why interventions are (in)effective among people with lower socio-economic position (SEP) is essential. Therefore, this scoping review aims to describe what is reported about the behavior change techniques (BCTs) applied within interventions and their effectiveness in encouraging physical activity and healthy eating, and reducing smoking and alcohol consumption according to SEP.

Animal Lives Affected by Meat Consumption Trends in the G20 Countries.

Trends in dietary habits have far-reaching implications, but their impact on animals remains insufficiently explored, as many people continue to dissociate meat from individual animal lives. This research study quantifies the temporal development of the number of animal lives affected by meat consumption within the G20 countries between 1961 and 2020 and forecasts for 2030. Production (including slaughter) and historical and projected food balance data were analyzed to explore these trends.

The association between sleep duration, bedtime, and cognitive ability in Chinese adults: Evidence from the China family panel studies.

Introduction: Dementia is marked by a steady decline or worsening in cognitive abilities, affecting memory, logic, and social competencies. While many studies suggest a potential link between the amount of sleep and dementia risk, the outcomes are not yet consistent. This research delved into the relationship between sleep length and bedtime on cognitive abilities using an extensive dataset from the China Family Panel Studies (CFPS) from 2014 to 2020.

Value creation in a learning community: an interprofessional partnership between nursing home care, education and students.

Objectives: To assess the value created in a learning community - comprised of different professionals and nursing students - at a nursing home.

Methods: A case study approach was used. Data were collected between 2019 and 2021 through self-reports, observations and stories (interviews, diaries).

PEMFC model identification using a squeezenet developed by modified transient search optimization algorithm.

Proton Exchange Membrane Fuel Cells (PEMFCs) are promising sources of clean and renewable energy, but their performance and efficiency depend on an accurate modeling and identification of their system parameters. However, existing methods for PEMFC modeling suffer from drawbacks, such as slow convergence, high computational cost, and low accuracy. To address these challenges, this research work proposes an enhanced approach that combines a modified version of the SqueezeNet model, a deep learning architecture that reduces the number of parameters and computations, and a new optimization algorithm called the Modified Transient Search Optimization (MTSO) Algorithm, which improves the exploration and exploitation abilities of the search process.

Alleviation of Glucocorticoid-Induced Osteoporosis in Rats by Ethanolic (Thunb.) Moldenke Extract.

Secondary osteoporosis is frequently due to the use of high-dose glucocorticoids (GCs). The existing strategy for managing glucocorticoid-induced osteoporosis (GIOP) is considered insufficient and remains in a state of ongoing evolution. Therefore, it is crucial to develop more precise and effective agents for the treatment of GIOP.

Health promotion roles shaped by professional identity: an ethnographic study in the Netherlands.

How frontline care professionals interpret and fulfill their health promotion roles is of great importance for the health of the vulnerable clients they work with. While the literature on health promotion is limited to describing the roles of healthcare professionals, this study examines the health promotion roles held by various frontline professionals when working with clients with combined psychosocial problems and how this is associated with professional identity. Based on ethnographic data from Dutch frontline professionals in social welfare, general healthcare and mental healthcare, this article shows how various frontline professionals promote health by reframing and customizing health problems and that this is associated with how they identify as pragmatic or holistic professionals.

Factors contributing to dropping out of adults' programming e-learning.

Previous studies reported that acquiring computer programming skills is challenging and might result in high dropout rates. A quasi-experimental design was used to examine the role of different factors in dropping out of an e-based computer programming course. This study applied a knowledge in programming assessment test (20 multiple-choice questions covering the following topics: variables, loops, conditionals, functions, and general knowledge of Python), The Learning Motivating Factors Questionnaire, The Big Five-2, and The Basic Psychological Need Satisfaction & Frustration Scale.

Participatory Action Research as a Driver for Health Promotion and Prevention: A Co-creation Process Between Professionals and Citizens in a Deprived Neighbourhood in the Hague.

Introduction: Ignited by the persistent health inequalities many cities and neighbourhoods, the 'Healthy and Happy The Hague' network in the Netherlands wanted to gain insight in how prevention and health promotion could become successful in one deprived neighbourhood, Moerwijk.

Methods: The cycle of Look-Think-Act of Participatory Action Research was used in which both citizens and professionals got involved from the start. Besides interviews, field notes were analysed, visualised and discussed in several rounds of focus groups.