This study proposes a new real-time sign recognition system based on a wearable sensory glove, which has 17 sensors with 65 channels. We introduce the DataGlove to recognize various, possibly complex hand gestures of the Malaysian Sign Language (MSL). With 65 data channels, DataGlove can satisfy the requirement suggested by the analysis of hand anatomy, kinematic and gestures. Four groups of sensors were tested to select the optimal sensors that can capture hand gesture information. Also, a 3D-printed humanoid arm is used to validate the sensor mounted on the glove. In an extensive set of experiments to test our system, five well-known MSL participants were chosen to perform 75 gestures, all taken from the MSL numbers, alphabet, and words. The error rate was used to check system performance. Discussion confirms that the proposed system competes well with an advanced benchmark of previous works is up 100% based on 14 criteria in term of the type of captured signals, recognised gestures,.....

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The problem complexity of multi-criteria decision-making (MCDM) has been raised in the distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and robust MCDM methods. Compared with other MCDM methods, the fuzzy-weighted zero-inconsistency (FWZIC) method and fuzzy decision by opinion score method (FDOSM) have demonstrated their solidity in solving different MCDM challenges. However, the fuzzy sets used in these methods have neglected the refusal concept and limited the restrictions on their constants. To end this, considering the advantage of the T-spherical fuzzy sets (T-SFSs) in handling the uncertainty in the data and obtaining information with more degree of freedom, this study has extended FWZIC and FDOSM methods into the T-SFSs environment (called T-SFWZIC and T-SFDOSM) to be used in the distribution of COVID-19 vaccines. The methodology was formulated on the basis of decision matrix adoption and development phases. The first phase described the adopted.....

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Theoretical models have become increasingly complex, but the dual-phase structural equation modelling (SEM) and artificial neural network analysis can be used by scholars to unveil the causal interactions and nonlinear relationships between variables. However, not only a single open issue and challenge?but several of them?are encountered in the use of different multi-assessment types of measurement model to achieve the reliability and validity whilst implementing SEM, but the gaps have not been fully determined at present. The issues significantly impact the effectiveness process of selecting the most suitable method to assess the measurement model of SEM. Once the best sequence quality improvement is met, it then needs to present a recommendable solution. To this end, this study completes the literature by presenting a systematic review of all main advanced aspects of the SEM reliability and validity approaches. Firstly, the databases of ScienceDirect, IEEE Xplore, Web of Science and .....

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The original version of this Article contained an error in Affiliation 2, which was incorrectly given as ?Nanotechnology Research Centre, Department of Physics, Faculty of Science, University Pendidikan Sultan Idris, 35900, Tanjung Malim, Malaysia?. The correct affiliation is listed below: Nanotechnology Research Centre, Department of Physics, Faculty of Science and Mathematics, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia The original Article has been corrected. ? 2021, The Author(s)...

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Technical drawing is a means of communicating between the designer and the manufacturers to bring ideas into reality by means of drafting. This study investigated attribution styles as collates of students? technical drawing task-persistence and academic performance using correlational research design. The population for this study consisted of 864 students of year II and the sample study comprised of 150 (93 males and 57 females) randomly selected from six technical colleges in Edo State, Nigeria. Three instruments, Academic Performance Attribution Style Questionnaire (APASQ), Technical Drawing Task-persistent Rating Scale (TDTPRS); and Technical Drawing Performance Test (TDPT) were developed and used for data collection. Cronbach Alpha reliability method was used to determine the reliability of the instruments and the results were obtained: SAASQ = .87; TDTPRS=.79; AND TDAT = .85. The findings of the study revealed that the technical drawing task-persistence of students was positivel.....

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This paper reports the Machine Translation (MT) systems submitted by the IIITT team for the English?Marathi and English-Irish language pairs LoResMT 2021 shared task. The task focuses on getting exceptional translations for rather low-resourced languages like Irish and Marathi. We fine-tune IndicTrans, a pretrained multilingual NMT model for English?Marathi, using external parallel corpus as input for additional training. We have used a pretrained Helsinki-NLP Opus MT English-Irish model for the latter language pair. Our approaches yield relatively promising results on the BLEU metrics. Under the team name IIITT, our systems ranked 1, 1, and 2 in English?Marathi, Irish?English, and English?Irish respectively. The codes for our systems are published. ? 2021 Proceedings of the 4th Workshop on Technologies for Machine Translation of Low-Resource Languages, LoResMT 2021. All rights reserved...

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Introduction: Previous literature suggests that good nutrition knowledge does not necessarily translate into desired eating behaviours among adolescent athletes, which may affect their sports performance. The purposes of the study were twofold, which were to examine nutrition knowledge and practice between the sexes, and to evaluate the magnitude of relationship between nutrition knowledge and practice among adolescent handball athletes in Malaysia. Methods: Three hundred and twelve male and female adolescent handball players competing in a national level competition voluntarily participated in this study. The participants were asked to complete a questionnaire which consisted of items on their demographic information and about their nutrition knowledge and eating practices. Independent t-test and Pearson?s correlation were used to compare nutrition knowledge and practice between the sexes and to describe the relationship between variables, respectively. Results: The results showed tha.....

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The study determined the toxicity and Centella asiatica extract?s efficiency as food preservative in fresh-cut fruits and vegetables (FCFV) during room temperature displayed (RTD; 22���1?) and chilled storage (CS; 4���0.5?). In toxic assessment, the LC50 extract was 597.72�mg/ml, indicating as nontoxic to consume. Listeria monocytogenes (6.40 log CFU/ml), Staphylococcus aureus (6.46 log CFU/ml), and Salmonella Typhimurium (6.92 log CFU/ml) were respectively inoculated in mango, pear, and cabbage. The survived population of bacteria varied from 4.87 to 6.87 log CFU/g (RTD-FCFV) and 3.46 to 4.92 log CFU/g (CS-FCFV). This indicates that the extract had no effects on pathogenic bacteria at all during RTD. Browning indexes in extract-treated pear (RTD: 7.15; CS: 16.20), mango (RTD: 9.40; CS: 16.39), and cabbage (RTD: 4.72; CS: 3.96) were recorded. In short, chilling and prolonged extract-contact periods could effectively retard browning of FCFV but less effective for bacteria .....

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This research focuses on the production and creation of educational materials for Arabic vocabulary learning using Augmented Reality Technology, namely ARabic-Kafa, which can support both teachers and students. The Marker Based Tracking tool is used in this Augmented Reality application. This method was employed because it can read objects and then display 3-dimensional (3D) virtual objects. The first step in resolving this issue is to create animations through the blender application, choose the image to be utilised as a Marker, and finally, export it to Vuforia to form an Augmented Reality app. The mobile app of Augmented Reality-based educational media is the product of this research. A series of testing were employed and a minimum distance for displaying a 3D object is 10 cm, and the minimum angle 30� to 90� to view 3D objects. The rotation marker's output effectively shows every aspect of the 3D object. Furthermore, the audio pronunciations can be played effortlessly. ? 2021 C.....

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Internal Visualization challenges concerning sub-microscopic particles in chemistry often result in some difficulties in learning the change of state of matter. Therefore, this study aims at developing an augmented reality ProCAR module that utilizes a project-based learning approach to facilitate learning changes of matter. This study employs ADDIE (Analysis, Design, Development, Implementation and Evaluation) instructional design model. The quality of the module was evaluated by a group of 5 Chemistry teacher-educator experts of Universiti Teknologi Malaysia to identify the suitability of the module. Inter-rater reliability (IRR) percentages were determined and the feedback was analyzed based on thematic analysis. The result shows that 100% of its learning objectives, Content, Usability, and Assessment and 75% of its performances were good and reliable all having IRR value 75% and above. Such revealed that AR Module is potentially effective for the teaching of phase change to Seconda.....

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