This study aims to describe the use of virtual digital engineering laboratories to raise student proficiency in vocational high schools (VHS). Virtual reality technology was used in virtual laboratories to improve students learning experiences. This study's methodology was quantitative. Using virtual digital engineering laboratories, student work was compared before and after to evaluate whether there had been an improvement in their level of competency. Each school's average student grade improved when compared to before adopting a virtual digital engineering laboratory. The findings of this study showed an improvement in the scores at each of the three schools where data was gathered. With a total of 15 students, State VHS 2 Yogyakarta saw a rise in scores from 2.56 to 6.37, and the number of students with scores above 70 increased from 0 to 11 at first. In contrast, State VHS 2 Depok, which had 32 students, had an increase in scores from 5.26 to 8.01 and a jump from 7 to 28 in the p.....

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Teaching Aids using the Word Wall website have their differences in that teaching aid can provide fun learning to students. Nowadays, learning using ICT and technology is a learning that needs to be taken seriously so that education in Malaysia is comparable to that of education in other developed countries. The purpose of this study was to develop a teaching aid for students with learning difficulties in Basic Cooking subjects. Basic Cooking Subject is a Vocational Skills Basic Document according to the Standard Curriculum of Sekolah Menengah Pendidikan Khas (KSSMPK) implemented at SMK Telok Gadong, Klang, Selangor. The development of Easy Match was developed to overcome the problems faced by students with special needs, especially for students with learning difficulties. This study used a qualitative study design using interview instruments by selecting three experts as respondents. As a result of the interview, it is analyzed using the content analysis method. The data findings show.....

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[No abstract available]..

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The development of conductive polyaniline (PANI) membrane doped with copper(II) oxide (CuO) by means of the photopolymerization method has been successfully carried out. The photocurable PANI polymeric material was synthesized by mixing 0.011 g of aniline monomer with 0.016 g of ethylene glycol dimethacrylate (EGDMA) crosslinker, 0.021 g of dimethoxy phenylacetophenone (DMPP) photoinitiator and 0.026 g of CuO dopant. The electrical conductivity analysis showed that the as-synthesized CuO-doped PANI (PANI/CuO) film possessed an optimum electrical conductivity value of 39.8110-3 S cm-1 at the dopant loading of 0.011 g CuO. Chemical elucidation by using Fourier-transform infrared spectroscopy (FTIR) revealed that the PANI/CuO conducting material with several main functional groups e.g., N-H, C-H, C-N, C=C, C=N, C-O and C=O chemical bonds were identified. Meanwhile, optical characterization of the resulting PANI/CuO membrane by using UVvis diffuse reflectance spectrophotometer (DR/UV-vis) .....

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Preeclampsia is one of the leading causes of maternal mortality, which is a serious problem during pregnancy, which is further complicated by issues related to pathophysiology and etiology. The focus of this research is on the early detection of preeclampsia by using machine learning with multiple algorithms. Specifically, the aim of this study is to identify the causes of preeclampsia. A total of 21 articles were obtained from four scientific databases, namely ScienceDirect, Scopus, IEEE, and PubMed, which were published between 2018 and 2022, using several keywords such as Artificial Intelligence, Machine Learning, Prediction, and Preeclampsia. The method of the review adhered to the principles outlined in a guideline published by Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA). The systematic review of these articles was focused on the accuracy of prediction of preeclampsia using machine learning. The results showed machine learning was the most popular me.....

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Fake news and disinformation (FNaD) are increasingly being circulated through various online and social networking platforms, causing widespread disruptions and influencing decision-making perceptions. Despite the growing importance of detecting fake news in politics, relatively limited research efforts have been made to develop artificial intelligence (AI) and machine learning (ML) oriented FNaD detection models suited to minimize supply chain disruptions (SCDs). Using a combination of AI and ML, and case studies based on data collected from Indonesia, Malaysia, and Pakistan, we developed a FNaD detection model aimed at preventing SCDs. This model based on multiple data sources has shown evidence of its effectiveness in managerial decision-making. Our study further contributes to the supply chain and AI-ML literature, provides practical insights, and points to future research directions. 2022, The Author(s)...

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When COVID-19 spread in China in December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemics main scientific disciplines. For example, social scientists are concerned with reducing the psychological impact on the human mental state especially during lockdown periods. Computer scientists focus on establishing fast and accurate computerized tools to assist in diagnosing, preventing, and recovering from the disease. Medical scientists and doctors, or the frontliners, are the main heroes who received, treated, and worked with the millions of cases at the expense of their own health. Some of them have continued to work even at the expense of their lives. All these studies enforce the multidisciplinary work where scientists from different academic disciplines (social, environmental, technological, etc.) join forces to produce research for beneficial outcomes during the crisis. One of the many branches is computer science a.....

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Polyvinylidene fluoride (PVDF)/titanium dioxide (TiO2)/graphene oxide (GO)-based hybrid membrane was blended with polymer additive of polyvinyl alcohol (PVA), polyvinylpyrrolidone (PVP) and poly (methyl methacrylate) (PMMA) through phase inversion method. A triple-tail surfactant was utilised to assist the initial GO synthesis and achieve better GO dispersion in the polymer matrix. The effect of incorporating different polymer additives was investigated based on methylene blue (MB) dye rejection and antifouling performance. Experimental results showed that the incorporation of PVP in the polymer matrix resulted in the highest pure water flux (635.897 l/m2?h) and permeability (255.833 l/m2 h?MPa) as well as 57.56% MB dye rejection rate. Interestingly, PVDF-TiO2/GO/PMMA presented higher dye rejection rate (79.18%) and flux recovery ratio (FRR) value (86.46%) than other fabricated membranes. Overall, the incorporation of different polymer additives successfully alters the morphology, prop.....

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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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