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UPSI Digital Repository (UDRep)
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| 5661 | 2021 Article | A systematic review of botany, phytochemicals and pharmacological properties of & quot: Hoja santa & quot Wan Mohd Nuzul Hakimi Wan Salleh Hoja santa (Piper auritum) refers to an important presence in Mexican cuisine. The information of this review article was gathered from several electronic sources such as Scopus, Medline, Scielo, ScienceDirect, SciFinder, Web of Science, Google Scholar and Lilacs. Phytochemical studies have revealed the presence of benzoic acid derivatives, phenylpropanoids and triterpenoids, while the essential oils have shown its richness in safrole, hence it has several activities, such as antioxidant, toxicity, insecticidal, anti-diabetic and cytotoxic properties. This review is expected to draw the attention of medical professionals and the general public towards P. auritum as well as to open the door for detailed research in the future. ? 2021 De Gruyter. All rights reserved... 2311 hits |
| 5662 | 2021 Article | A systematic review of automated preprocessing, feature extraction and classification of cardiotocography Al-yousif, Shahad Context. The interpretations of cardiotocography (CTG) tracings are indeed vital to monitor fetal well-being both during pregnancy and childbirth. Currently, many studies are focusing on feature extraction and CTG classification using computer vision approach in determining the most accurate diagnosis as well as monitoring the fetal well-being during pregnancy. Additionally, a fetal monitoring system would be able to perform detection and precise quantification of fetal heart rate patterns. Objective. This study aimed to perform a systematic review to describe the achievements made by the researchers, summarizing findings that have been found by previous researchers in feature extraction and CTG classification, to determine criteria and evaluation methods to the taxonomies of the proposed literature in the CTG field and to distinguish aspects from relevant research in the field of CTG. Methods. Article search was done systematically using three databases: IEEE Xplore digital library, S..... 1263 hits |
| 5663 | 2021 Article | A systematic review of augmented reality in multimedia learning outcomes in education Hafizul Fahri Hanafi This research involved a systematic and thematic review of literature of studies involving the use of Augmented Reality (AR) in the educational context. Specifically, the review was performed by searching and identifying relevant and recent articles on several leading online databases, which were published from 2014 to 2020. The review yielded 40 articles that discuss various applications of this novel technology. Based on the analysis of their contents, 15 articles are related to multimedia learning involving augmented reality in primary classroom settings. On the other hand, 25 articles discuss studies involving the use of AR in university settings. In terms of content, 18 articles articulate the applications of AR from the explorative perspective, while another 18 articles elaborate the use of AR books in education. By contrast, only 4 articles highlight the use of game-based AR applications in education. The findings of the content analysis carried out suggest that student learning..... 999 hits |
| 5664 | 2021 Article | A successful career in early childhood education: a focus on personal values of childcare trainees Romarzila Omar Early childhood education is a non-formal education for children under the age of six. In Malaysia, Taska and Tadika are two types of childcare centers that provide early childhood education for young children whose ages range from one to four and from four and six, respectively. The main aim of such centers is to prepare such small children with basic knowledge before receiving a formal education as a first-grader in the primary schools. Premised in this context, this paper discusses the findings of a study that focused on childcare trainees' personal values in building a career in early childhood education. This study used the convergent parallel mixed method involving a survey and interviews, in which 1497 and 159 respondents were selected, respectively. In this study, the researchers used purposive sampling to select a sample of the population of Taska and Tadika operators and teachers and the officers of relevant agencies. The research instruments of this study consisted of a surv..... 666 hits |
| 5665 | 2021 Article | A simple BF3 Et2O-mediated cycloaddition reaction to the formation of cyclic monoterpenoid pyrano[3,2-a]carbazole alkaloids Tan, Siow-Ping A Lewis acid BF3?Et2O-mediated intramolecular cycloaddition reaction of mahanimbine (1) is described. Three cycloadducts, bicyclomahanimbine (2), cyclomahanimbine (3) and murrayazolinine (4) were obtained. The structural characterization of these compounds was determined by 1D and 2D NMR experiments. These compounds showed no cytotoxic activity against human MRC-5 cells (IC50 > 60 ?g/mL). Compound 3 showed the highest inhibition cytotoxic effects against HeLa and HL-60 cancer cells with IC50 values of 10.0 and 28.7 ?g/mL, respectively. This strategy opens a new approach for the synthesis of biologically significant cyclic monoterpenoid pyrano[3,2-a]carbazole alkaloids. ? 2021 Bentham Science Publishers... 1034 hits |
| 5666 | 2021 Article | A RPCA-Based Tukey\s biweight for clustering identification on extreme rainfall data Shazlyn Milleana Shaharudin In high dimensional data, Principal Component Analysis (PCA)-based Pearson correlation remains broadly employed to reduce the data dimensions and to improve the effectiveness of the clustering partitions. Besides being prone to sensitivity on non-Gaussian distributed data, in a high dimensional data analysis, this algorithm may influence the partitions of cluster as well as generate exceptionally imbalanced clusters due to its assigned equal weight to each observation pairs. To solve the unbalanced clusters in hydrological study caused by skewed character of the dataset, this study came out with a robust method of PCA in term of the correlation. This study will explain a RPCA to be proposed as an alternative to classical PCA in reducing high dimensional dataset to a lower form as well as obtain balance clustering result. This study improved where RPCA managed to downweigh the far-from-center outliers and develop the cluster partitions. The results for both methods are compared in term ..... 957 hits |
| 5667 | 2021 Article | A review: antimicrobial activity and toxicity analysis of the peel of banana, pomegranate, papaya, and citrus fruits (lemon and orange) Suzita Ramli Fruits have nutrients and health-promoting compounds and usually fruits are eaten fresh with minimally processed. To meet rising demand, the production and processing of horticultural crops of fruits have grown massively in response to the population and changing dietary habits. It is rarely known that some fruit wastes, including peel, actually have their own advantages to humans as well as industry. In fact, these fruit wastes, including fruit peel, should be handled and used to minimise the environmental impacts. The functional properties of the peel of banana, pomegranate, papaya, and citrus fruits such as lemon and orange can beneficially help in the production of new health products and in food industries. Antimicrobial compounds in fruit peel play an important role in inhibiting the microbial growth, specifically pathogenic microorganisms such as Escherichia coli, Bacillus aureus, Campylobacter, Salmonella, and Staphylococcus aureus. The antimicrobial compounds present in the fr..... 1609 hits |
| 5668 | 2021 Article | A review study on synthesis methods of agnanoparticles, considering antibacterial property and cytotoxicity Mustafa Mudhafar Silver nanoparticles (AgNP) have been used in many medical and biological applications due to their unique features and characteristics. One of the most important issues researchers address in nanoscience is finding suitable methods to produce nanoparticles with environmentally friendly and non-toxic properties. The unique chemical, physical and biological properties that AgNP possesses give that impetus to developing their production methods. In recent years, there have been many studies documented for the production of AgNP during the development of green synthesis methods (GSM). The present study describes methods for the GSM of AgNP, their biological properties, and other applications, giving the most appropriate methods to synthesize AgNP.AgNP is one of the essential metallic particles, as they can be manufactured and designed in easy ways, and they are also adjustable because they were used in many fields such as catalysts, ideal biometrics, and photo-controlled delivery Systems...... 1208 hits |
| 5669 | 2021 Article | Product pain-pleasure framework for software product design in the usability and user experience domains Wahidah Hashim This study utilized a literature review strategy to examine prior literature pertaining to the frameworks concerning how to minimize users? pain and maximize their pleasure while interacting with the designs of interactive products. The findings of the study reveal that several such frameworks are in existence and are mainly in other domains different from usability and user experience. In these, the emphasis were mostly on satisfaction and dissatisfaction criteria which do not cover the broader perspectives of user experience that comprise hedonic, affective, aesthetics and other hedonomic facets. This prompts for the development of a framework that tailored to usability and user experience concerns to enable user experience designers design interactive products that will enhance users? experience. The proposed framework was adapted from previous related frameworks It is a three-factor framework that is composed of pain factors, linear factors and pleasure factors. The study proposes ..... 838 hits |
| 5670 | 2021 Article | A pattern recognition model for static gestures in Malaysian sign language based on machine learning techniques Zaidan, Bilal This work proposes a pattern recognition model for static gestures in Malaysian Sign Language (MSL) based on Machine Learning (ML) techniques. The proposed model is divided into two phases, namely, data acquisition and data processing. The first phase involves capturing the required sign data, such as the shape and orientation of the hand, to construct a sensor-based SL dataset. The dataset is collected using a DataGlove device. This device is used to measure the motions of the fingers and wrists. Sixty-four features represent each sign in the dataset. The collected sensory dataset is cleaned in the second phase by removing redundant data. Then, the features are scaled and normalised to exhibit symmetrical behaviour and eliminate outliers. Then, ten different ML techniques are utilised based on real-time data for SL gesture recognition. Experimental results confirmed the efficacy of the proposed pattern recognition model compared with previous work. ? 2021.. 1932 hits |
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