In the last few years, the trend in health care of embracing artificial intelligence (AI) has dramatically changed the medical landscape. Medical centres have adopted AI applications to increase the accuracy of disease diagnosis and mitigate health risks. AI applications have changed rules and policies related to healthcare practice and work ethics. However, building trustworthy and explainable AI (XAI) in healthcare systems is still in its early stages. Specifically, the European Union has stated that AI must be human-centred and trustworthy, whereas in the healthcare sector, low methodological quality and high bias risk have become major concerns. This study endeavours to offer a systematic review of the trustworthiness and explainability of AI applications in healthcare, incorporating the assessment of quality, bias risk, and data fusion to supplement previous studies and provide more accurate and definitive findings. Likewise, 64 recent contributions on the trustworthiness of AI in.....

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The adoption of STEP-NC on CNC machines has been one of the most enduring difficulties in daily operations. It is not outside of the realm of possibility to put this solution into practice by techniques that are indirect, interpretative, or adaptive. In this implementation, the interpreted approachs performance was noticeably better than the indirect methods. In this particular field, a substantial amount of investigation still needs to be carried out. This investigation focuses on a better interpreted STEP-NC programming paradigm, and a novel data interpretation approach along with algorithm design are presented. The system has been contributed with the latest hybrid method, which combines the indirect and interpreted strategies for constructing tool paths. In addition, the interpretation algorithm has been updated to incorporate a method for extracting data in two layers (entity and string). The entirety of the system is made up of a variety of software tools and algorithms for the p.....

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Forests are vital in combating climate change by storing and sequestrating CO2 from the atmosphere. Measuring the influence of land use/land cover (LULC) changes on the capacity of carbon storage (CS) within forest ecosystems presents a significant challenge. This study employs remote sensing techniques to examine the changes in spatiotemporal patterns of CS in the Chittagong Hill Tracts (CHT), resulting from LULC alterations between 1996 and 2021. LULC change patterns were identified for six different years utilizing the Google Earth Engine (GEE). The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model was combined with GEE to evaluate the changing patterns of CS. The study discovered that the CHT region experienced a loss of 21.65 106 Mg of CS, owing to a 21% reduction in vegetation cover (2862.85 km^2) during the study period. The central city area (Chittagong) accounted for the most significant loss of CS (7.99 106 Mg), while the suburban areas of Khagrachari (0.....

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The technology deployment in smart e-tourism brings high potential in terms of customer data, events, reservations, and others. It acts as an effective and personalized guide to aid travelers. There is an increasing variety of smart e-tourism apps with multiple categories and criteria, but in terms of decision making, this presents a multicriteria complex problem to determine the best app from a group of available options with high criteria subjectivity. Literature reviews have evaluated and modeled the existing smart e-tourism apps alternatives, but informational uncertainty remains. The fuzzy sets and Multi-Attribute Decision Analysis (MADA) were used to handle the subjectivity issue. However, this process includes levels of uncertainty, which affects the decisions made and still an open issues. Spherical fuzzy rough sets (SFRSs) environment are useful in this situation for resolving fuzziness and ambiguity. This paper proposed a decision modeling approach for smart E-Tourism data ma.....

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The aim of the present study was to extract of Polyalthia sclerophylla leave (LPS) and identify its chemical constituents using Gas chromatography-Mass (GS-Mass) spectrometry and classical phytochemicals methods. This study included as well the evaluated of the bio-medical properties of LPS using antibacterial (against six bacteria species) and cytotoxicity (M-63 human cell line) activities. Three different solvent system i.e. methanol (MeOH), dichloromethane (DCM) and hexane were used to extract the LPS, three samples were obtained and labelled as MLPS, DLPS, and HLPS, respectively, and evaluated their biomedical activities. Phytochemical screening results showed to present glycosides and terpenoids in MLPS, DLPS, and HLPS, while alkaloids did not detect the presence in all extracts. GC-Mass results were detected to present 21 chemical compounds, the higher percentages were cyclobutanone, 2-methyl-2-oxiranyl-, 2-Undecanol and Pyridine, 2,3,4,5-tetrahydro-3-methyl-, while 1,6-Heptadien.....

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Based on the theories of professional identity and emotional labor, this study investigates the mediating role of emotional labor in the relationship between self-professional identity and labor productivity among front-line employees in hotels. Drawing upon a validated scale, a survey was conducted with 238 front-line employees working in high-star hotels to examine the impact mechanism of self-professional identity on labor productivity. The findings reveal that self-professional identity significantly and positively influences labor productivity among hotel front-line employees. Self-professional identity is identified as the antecedent variable of emotional labor, whereby it enhances the deep acting of front-line staff while reducing surface acting and improving natural acting. Emotional labor acts as an intermediary between self-professional identity and labor productivity. However, different dimensions of emotional labor exhibit notable variations in their mediating effects and i.....

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Internal factors and external factors are used to measure the performance of higher education institutions. Internal factors include those whose criteria come from within the organization, while external factors are those whose criteria come from outside the organization. Of these two factors, measurement criteria that can help in decision-making about the development and expansion of higher education competence, including financial criteria, are needed. This study examines the optimization of the financial performance of private higher education institutions by applying the Analytic Hierarchy Process method and a proposed double auction framework. Financial criteria are critical to supporting the development and enhancing the competency of higher education institutions. The Analytical Hierarchy Process is used to prioritize 19 subcriteria, with the Teaching Process Operational Cost Development sub-criterion scoring highest for each operational criterion. The double auction framework i.....

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This study aims to identify the effectiveness of the use of social media as a medium to deliver awareness on environmental issues among the community in Malaysia. A survey with a questionnaire was used in the quantitative approach used in this research. The study sample, which employed a simple random sampling technique, consisted of 400 members of the Malaysian population. There was a combination of descriptive (mean, percentage) and inferential (regression) analysis. According to the study's findings, the majority of respondents use the Facebook social network to learn about environmental concerns. Furthermore, the linear regression analysis revealed that system quality, service quality, and information quality all had a significant role in customer satisfaction. In conclusion, this study clearly reveals that a large population in Malaysia responds positively to the use of social media as a medium for conveying environmental awareness with Facebook is the primary social media platfor.....

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The COVID-19 pandemic has unveiled profound deficiencies in global mental health care and prevention, posing a disproportionate threat to public health worldwide. Social isolation, a consequence of the pandemic, has strained the boundaries of human cooperation, giving rise to a spectrum of mental health challenges including stress, fear, grief, anxiety, and depression. This research empirically investigates the concept of social distance concerning individuals with mental health conditions while considering biopsychosocial determinants, notably social media influence and attitudes. A comprehensive analysis was conducted on a sample comprising 424 students from public universities along the eastern coast of Peninsular Malaysia. The findings reveal that attitudes towards mental health and the influence of social media play substantial roles in predicting social distance from individuals with mental health conditions. These predictive factors contribute significantly, accounting for up to.....

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This study proposed a novel methodology of data acquisition systems (DASs) benchmarking based on fuzzy-weighted zero-inconsistency (FWZIC II) and fuzzy decision by opinion score method (FDOSM II), which are applied in an intuitionistic fuzzy set (IFS) context and account for hesitation when benchmarking DASs, to support industrial community characteristics in the design and implementation of advanced driver assistance systems in vehicles. The proposed methodology comprises two consecutive phases. The first phase involves constructing a decision matrix based on the intersection of the DAS alternatives and criteria. The second phase (development phase) proposes the formulation of a novel FWZIC II to weight the criteria and the formulation of a novel FDOSM II to benchmark DASs. Fourteen DASs were benchmarked based on the 15 DAS criteria, which included seven sub-criteria for comprehensive complexity assessment and eight sub-criteria for design and implementation, which had a significant e.....

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