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The primary objective of this study is to investigate the cognitive aspects of spatial experiences of paediatric inpatients who receive long-term treatment in a healthcare setting in relation to the syntactic parameters of healthcare environment. It is aimed to investigate how the change in the child’s cognition caused by the environmental stress experienced by the child during his/her stay in the hospital is related to the physical parameters of the treatment space.

The methodology of the study is based on a correlational analysis to identify the cognitive and syntactic factors of the healthcare environment that contribute to changes in the perceptual processes of a sample group of thirty children. The study examined the relationships between the graph and isovist variables, and the cognitive parameters of paediatric inpatients. The two datasets were subjected to regression analyses in order to identify any significant findings, which allowed for a discussion of how the patients’ changing perceptual processes are influenced by the syntactic measures of the healthcare setting.

The study showed that a syntactically intelligible floor plan contributes significantly to reducing environmental stress among paediatric inpatients. The presence of shared spaces within the healthcare environment, where social interaction with peers is possible, emerges as a crucial factor influencing children’s spatial perception. Additionally, the visibility characteristics of shared spaces may also play a key role in enhancing children’s perceptions of safety.

The limitations of the study include the fact that the study was conducted in an oncology and haematology inpatient unit with challenging conditions in terms of the mobility potentials of the children, which might have affected their perceptual processes. A further limitation is that the sample size comprised only 30 children, and the spatial configuration of the healthcare environment was linear and not particularly complex.

By identifying the impact of spatial design on children’s well-being, the study informs the creation and improvement of healthcare environments. Enhanced understanding of factors like intelligible floor plans, shared spaces and isovist values can lead to more child-friendly facilities, potentially alleviating stress for young patients. Consequently, this research may contribute to improved healthcare outcomes, increased comfort for paediatric inpatients, and a more supportive environment for their families, fostering a holistic approach to paediatric care and positively influencing the overall quality of life for children undergoing long-term treatment.

This study contributes to the theoretical discourse on how the constrained physical conditions of a paediatric healthcare environment may influence the perceptual processes of paediatric inpatients. The results of this evidence-based study have the potential to inform the evaluation of design guidelines for healthcare settings, with the ultimate aim of enhancing therapeutic environments.

In the actual livestreaming background, to obtain more income, some broadcasters will transform their original single role orientation into mixed one. This research study aims to conduct an empirical study on the influence of the broadcasters' role orientation transformation on the viewers' tipping behavior.

The authors collect data from Kuai, a leading online live streaming service provider in China. The dataset includes 175,701 live streaming data from 971 broadcasters in 7 months. To avoid unobservable factors, the authors adopt two difference-in-differences (DID) models to estimate the effect of two kinds of broadcaster's role orientation transformation on the broadcaster’s direct income separately. And the authors use the Heckman-type correction to solve broadcasters’ self-selected problem.

The authors evaluated that there is a U-shape relationship between the broadcasters' role orientation transformation and their direct income. The broadcasters' direct income experienced a sharp decline for a short period of time after transformation and followed by a rise after a period of adaptation. And for broadcasters with different genders and amounts of fans, the influence degree of role orientation transformation is various.

This paper provides a fresh usage of the regulatory engagement theory in the brand new information communication technology. And it also explores the boundary effect of the participating object's self-factors in the regulatory engagement theory. Besides, this paper expands the research of livestreaming into natural background. Such results also provide operable suggestions for the livestream platform, the broadcaster himself and the enterprises who want to employ some broadcasters to recommend their products.

The purpose of this paper is to investigate the effect of plasma electrolytic oxidation (PEO) coatings and sealed PEO coatings on the corrosion resistance and cytocompatibility of a novel Mg-1Zn-0.45Ca alloy in simulated body fluid (SBF).

The microstructure, corrosion resistance and cytocompatibility of PEO coatings and phosphate conversion-treated PEO coatings were investigated and was compared with the bare Mg alloy.

The hot-extruded Mg-Zn-Ca alloy exhibit inhomogeneous microstructure and suffered from localized corrosion in the SBF. The PEO coating after phosphate conversion treatment offers enhanced protectiveness to the Mg alloy within an immersion period of up to 60 days, which is significantly improved compared with the performance of the PEO-coated Mg alloy, but the cytocompatibility was slightly decreased.

This work offers new perspective in balancing the protectiveness and cytocompatibility of bio-materials.

With the soaring rise in popularity of social media platforms in recent decades, the use of website posts for the expression of work-related views has also increased. Despite websites being extensively used, there has been no examination of the views and concerns expressed by frontline workers through website posts. The present research aims to contribute to the “voice literature” first by evaluating how frontline workers utilize anonymous media platforms to express their views and work-related concerns and, second, by demonstrating how anonymous voice systems can encourage frontline health workers in providing feedback and dissatisfaction.

The study utilizes the thematic analysis method to analyze the content of posts by psychologists on a collaborative consultation website administrated by Israel’s Ministry of Health, discussing their perceptions of work-related concerns.

The analysis identified three work-related themes through the employees' voices. These include insufficient support from management, conflicts and excessive occupational demands. The workers expressed their apprehension with regard to organizational pressures, deficient budget allocations, excessive workloads, lack of recognition and work–life imbalances.

The application of thematic analysis method to anonymous open-public data should be viewed as an effective, affordable, genuine and unique research method for data analysis. Anonymous platforms can generate unique insights that may not be possible through traditional means. This can provide practitioners with a comprehensive understanding of various issues and challenges and be a useful tool for identifying shortcomings within health settings.

This paper aims to propose a model of Zakah treatment for financial instruments. The model depends on the link between the financial assets and liabilities that emerge from a financial instrument contract.

The determination of Zakah on contemporary financial instruments is controversial, with various conflicting Fatwas being presented. This paper introduces a theoretical model that integrates Fiqh rules, accounting, finance and economic principles to propose a method for calculating Zakah on financial instruments. This theoretical model can be the foundation for future empirical and statistical testing.

The proposed model advocates omitting the financial assets/liabilities when determining the Zakah base for companies, as the Zakah burden relies on the owner of the real asset. The paper elaborates on the implementation of the model on debts, investments and cash accounts.

The paper does not investigate whether or not the accounting approach in dealing with financial contracts is deemed acceptable by Fiqh scholars, nor does it discuss whether or not this may affect the Zakah fatwas regarding these types of accounts.

The paper establishes a conceptual framework for the Zakah on financial assets. This will pave the way for future empirical research and testing to validate the framework in different contexts. In addition, if regulators adopt this model and apply it to all companies, it would promote fairness and justice at the national level.

The proposed model advocates omitting the financial assets/liabilities when determining the Zakah base for companies, as the Zakah burden relies on the owner of the real asset. The paper elaborates on the implementation of the model on debts, investments and cash accounts.

To the best of the authors’ knowledge, this is the first attempt to utilize the accounting approach in order to determine the amount of Zakah.

Technology-enabled healthcare focuses on providing better information flow and coordination in healthcare operations. Technology-enabled health services enable hospitals to manage their resources effectively, maintain continuous patient engagement and provide seamless services without compromising their perceived quality.

This study investigates the role of technology-enabled health services in improving perceived healthcare quality among patients. Data are collected from the users (n = 418) of health platforms offered in multi-specialty hospitals. Multiple learners are employed to accurately represent the users' perceived quality regarding the perceived usefulness of the features provided via these digital health platforms.

The best-fitted model using a decision tree classifier (accuracy = 0.86) derives the accurate significance of features offered in the digital health platform in fostering perceived healthcare quality. Diet and lifestyle recommendations (30%) and chatting with health professionals (11%) are the top features offered in digital health platforms that primarily influence the perceived quality of healthcare among users.

The predictability of perceived quality with the individual features existing in the digital health platform, the significance of the features on the perceived healthcare quality and the prediction rules showing the combined effect of features on healthcare quality can help healthcare managers accelerate digital transformation in hospitals by improving their digital health platform, designing and offering new health packages while strengthening their e-infrastructure.

The study represents perceived healthcare quality with the features offered in digital health platforms using machine learners based on users' post-pandemic experience. By advancing digital platforms with more patient-centric features using emerging technologies, this model can further foresee its impact on the perceived quality of healthcare, offering valuable directions to healthcare service providers. The study is limited to focusing on digital health platforms that can deal with people's general healthcare needs.

The prevalence of autism spectrum disorders (ASD) surpasses 2% in some regions. However, there is a lack of manualized programs targeting the social skills of adolescents with these disorders, particularly in the Spanish language context. This study aims to introduce PROSEAR, an innovative social skills program for adolescents with ASD implemented in a Day Hospital setting.

The evaluation used the Strengths and Difficulties Questionnaire (SDQ) and the Social Skills Scale (EHS) as measures, administering pre- and postintervention tests for each patient.

SDQ exhibited the most significant improvement in the domain of peer problems. In terms of EHS, it demonstrated beneficial effects across all evaluated domains, with statistically significant improvements observed specifically in the expression of anger or disagreement. Limitations include a small sample size and lack of a randomized control group.

The outcomes align with existing literature supporting the intervention as positive in clinical practice. Overall, the PROSEAR intervention shows promise for enhancing social skills in adolescents with ASD. Further research is needed to improve therapeutic approaches for this population.

Machine Learning is an intelligent methodology used for prediction and has shown promising results in predictive classifications. One of the critical areas in which machine learning can save lives is diabetes prediction. Diabetes is a chronic disease and one of the 10 causes of death worldwide. It is expected that the total number of diabetes will be 700 million in 2045; a 51.18% increase compared to 2019. These are alarming figures, and therefore, it becomes an emergency to provide an accurate diabetes prediction.

Health professionals and stakeholders are striving for classification models to support prognosis of diabetes and formulate strategies for prevention. The authors conduct literature review of machine models and propose an intelligent framework for diabetes prediction.

The authors provide critical analysis of machine learning models, propose and evaluate an intelligent machine learning-based architecture for diabetes prediction. The authors implement and evaluate the decision tree (DT)-based random forest (RF) and support vector machine (SVM) learning models for diabetes prediction as the mostly used approaches in the literature using our framework.

This paper provides novel intelligent diabetes mellitus prediction framework (IDMPF) using machine learning. The framework is the result of a critical examination of prediction models in the literature and their application to diabetes. The authors identify the training methodologies, models evaluation strategies, the challenges in diabetes prediction and propose solutions within the framework. The research results can be used by health professionals, stakeholders, students and researchers working in the diabetes prediction area.

This study aims to explore the impact of decentralized long-term rental apartments on the value of in-community housing from two perspectives of housing price and rent.

This study uses the hedonic model to identify the factors affecting the housing value, and the influence of distributed long-rented apartments on the housing value in the community is analyzed from two aspects of housing price and rent by using the ordinary least square method and propensity score matching method.

The primary finding indicates that decentralized long-term rental apartments increase housing prices while decreasing general rental housing rents in the community, with the average degree of increase ranging from 0.93% to 2.59% and the average degree of decrease ranging from 2.23% to 4.34%. According to additional research, the prices of houses within communities rise by 0.042% for every 1% increase in the share of decentralized long-term rentals, while the rents for other types of rental property fall by 0.162%.

The government can regulate the housing market by regulating the access and layout of distributed long-rent apartments.

The findings of this study indicate that the existence and share of distributed long-rent apartments have a heterogeneous impact on the housing price and rent in the community, respectively.

This study aims to investigate the relationship between financial inclusion and household expenditure behaviour among Ghanaian households, by taking into account both formal and informal financial inclusion channels.

Propensity score matching as well as instrumental variable techniques are applied to data from the Ghana Living Standard Survey to investigate the effect of financial inclusion on the share of total expenditure devoted to different categories, including food, health, education, housing, durables, temptation goods and other goods.

Informal financial inclusion seems to have no substantial effect on households’ consumption behaviour, whereas formal financial inclusion significantly affects it. The study finds that formal financial inclusion is inversely related to the budget share devoted to short-term expenditure (food, temptation goods and other goods such as transport and recreation). Conversely, financially included households spend more on long-term expenditure such as education, housing and consumer durables, thus, suggesting a diversion effect towards investment in long-term physical and human capital.

The investigation of the heterogeneous impact across households (male vs female headed, rural vs urban) has essential policy implications on how financial inclusion can be improved among the disadvantaged groups, and with what effects.

The study focuses on the importance of financial inclusion in Ghana, considering both formal and informal financial inclusion channels. Previous studies only examined the overall effects on household welfare, overlooking the impact on household expenditure composition and consumption shares. The analysis also considers the heterogeneous impact of financial inclusion on households based on the gender of the household head and the location where households reside (rural, urban).