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34712021
article
Some emerging opportunities of nanotechnology development for soilless and microgreen farming
Mohd Zobir Hussein
Global food demand has increased in tandem with the world?s growing population, prompting calls for a new sustainable agricultural method. The scarcity of fertile soil and the world?s agricultural land have also become major concerns. Soilless and microgreen farming combined with nanotechnology may provide a revolutionary solution as well as a more sustainable and productive alternative to conventional farming. In this review, we look at the potential of nanotechnology in soilless and microgreen farming. The available but limited nanotechnology approaches in soilless farming include: (1) Nutrients nanoparticles to minimize nutrient losses and improve nutrient uptake and bioavailability in crops; (2) nano-sensing to provide real-time detection of p H, temperature, as well as quantifying the amount of the nutrient, allowing desired conditions control; and (3) incorporation of nanoparticles to improve the quality of substrate culture as crop cultivation growing medium. Meanwhile, potentia.....

594 hits

34722021
article
Solvatochromism and theoretical studies of dicyanobis(phenylpyridine)iridium(III) complex using density functional theory
Noorshida Mohd Ali
Luminescent cyanometallate [Ir(ppy)2(CN)2]? (ppy = C6H5C5H4N) has recently gained attention due to its desired photophysical properties. Our research group reported that the [Ir(ppy)2(CN)2]? has shown a negative solvatochromism like [Ru(bipy)(CN)4]2?, resulting in a blue-shift of the UV-Vis absorption bands in the water. Therefore, to gain insight into the specific solvent-solute interaction governed by the hydrogen bond in the solvation hydration shell, density functional theory (DFT) calculations were performed on the singlet ground state of the [Ir(ppy)2(CN)2]? and its solvent environment in the water at B3LYP level theory. It was demonstrated, seven water molecules provided a good description of the relevant spectra: IR and UV-Vis. The calculation reproduced the positions and intensities of the observed ?(C?N) bands at 2069 and 2089 cm?1. The calculated MLCT transition wavelength was 366 nm vs. a measured value of 358 nm, differing by 8 nm. The study revealed the water molecules in.....

410 hits

34732021
article
Society 5.0: green logistics consciousness in enlightening environmental and social sustainability
Syamsuriana Sidek
Currently, there is growing attention towards improving sustainability, including the worldwide agenda in moving towards Society 5.0. Since the formulation of Sustainable Development Goals (SDGs), the green logistics issue has been widely recognized as one crucial element to reducing environmental and social impact. Nevertheless, only a few studies in this area were established since the ignorance regarding this issue was immense globally, including in the Malaysian context. This paper intends to examine the relationship of organizational performance consciousness, economic performance consciousness, and environmental performance consciousness towards green logistics consciousness in enlightening environmental and social sustainability in the Malaysian situation. The data of 387 respondents throughout Malaysia were collected using a convenience survey sampling technique. This data was initially analyzed via descriptive, validity, reliability, and normality test using IBM SPSS Statistic.....

625 hits

34742021
article
Short-term forecasting of daily confirmed Covid-19 cases in Malaysia using RF-SSA model
Shazlyn Milleana Shaharudin
Novel coronavirus (COVID-19) was discovered in Wuhan, China in December 2019, and has affected millions of lives worldwide. On 29th April 2020, Malaysia reported more than 5,000 COVID-19 cases; the second highest in the Southeast Asian region after Singapore. Recently, a forecasting model was developed to measure and predict COVID-19 cases in Malaysia on daily basis for the next 10 days using previously-confirmed cases. A Recurrent Forecasting-Singular Spectrum Analysis (RF-SSA) is proposed by establishing L and ET parameters via several tests. The advantage of using this forecasting model is it would discriminate noise in a time series trend and produce significant forecasting results. The RF-SSA model assessment was based on the official COVID-19 data released by the World Health Organization (WHO) to predict daily confirmed cases between 30th April and 31st May, 2020. These results revealed that parameter L = 5 (T/20) for the RF-SSA model was indeed suitable for short-time series ou.....

293 hits

34752021
article
Sentiment analysis of snapchat application\s reviews
Wong, Weng Hao
Sentiment analysis is a process of extracting opinion and subjectivity knowledge from user generated text content without the need to monitor the reviews manually. It can help to obtain an overview on performance of a product or subject based on the reviews from users. The aim of this study is to classify the Snapchat application's reviews into different polarities which are positive, neutral or negative. Next, the most frequent words are identified. Furthermore, Multinomial Na�ve Bayes and Random Forest classification algorithm are used to predict the user's rating. The performances of the classification models are evaluated using accuracy, precision, recall and F1-score. The results showed majority of the Snapchat users had a positive experience with the total of 6037 positive reviews. Based on the performance measures, Multinomial Na�ve Bayes classification algorithm performed slightly better than the Random Forest classification algorithm in predicting the rating of Snapchat ap.....

395 hits

34762021
article
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: a systematic review
Abdullah Hussein Abdullah Al-Amoodi
The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 occurred unexpectedly in China in December 2019. Tens of millions of confirmed cases and more than hundreds of thousands of confirmed deaths are reported worldwide according to the World Health Organisation. News about the virus is spreading all over social media websites. Consequently, these social media outlets are experiencing and presenting different views, opinions and emotions during various outbreak-related incidents. For computer scientists and researchers, big data are valuable assets for understanding people's sentiments regarding current events, especially those related to the pandemic. Therefore, analysing these sentiments will yield remarkable findings. To the best of our knowledge, previous related studies have focused on one kind of infectious disease. No previous study has examined multiple diseases via sentiment analysis. Accordingly, this research aimed to review and analyse articles about the occurrence.....

633 hits

34772021
article
Selecting antagonistic yeast for postharvest biocontrol of colletotrichum gloeosporioides in papaya fruit and possible mechanisms involved
Nor Elliza Tajidin
Colletotrichum gloeosporioides causes anthracnose disease in papaya fruit resulting in tremendous economic loss due to its latent infection. This study aimed to evaluate the biocontrol activity of antagonistic yeasts against C. gloeosporioides in papaya and determine the possible mechanism involved. One hundred and ten yeast strains were isolated from different parts of the papaya plant. Among them, only five strains, namely F001, F006, L003, FL013 and LP010, showed more than 55% radial growth inhibition of C. gloeosporioides. These five potent yeast strains were further evaluated in vitro and in vivo. The results indicated that strain F001 had the strongest biocontrol activity based on spore germination and fungal growth inhibition. In Vivo, the strain F001 caused 66.7% and 25% reductions in disease incidence and severity, respectively. Based on molecular identification, the strain F001 was confirmed as Trichosporon asahii. Despite there was no significant induction of defense enzyme .....

401 hits

34782021
article
Seasonal autoregressive integrated moving average model for forecasting tourist arrivals in Malaysia
Yen, Phoong Seuk
Seasonal Autoregressive Integrated Moving Average (SARIMA) model was applied for fitting and forecasting the number of tourist arrivals in Malaysia. The time series data that applied in this study was 120 periods, which obtained from January 2008 until December 2017 for models testing and 24 periods include January 2018 to December 2020 for forecasting. The procedure in SARIMA model involving the identification of different SARIMA models, parameter estimation and diagnostic checking, that aims to identify the appropriate model for forecasting. The Akaike Information Criterion (AIC), Schwartz Criterion (SC) and Sum of Square Residual (SSR) are used to investigate the most plausible model that fit with the data. Therefore, SARIMA (1,1,1) (1,1,1)12 model was selected for forecasting tourist arrivals in Malaysia. ? 2021 RIGEO. All Rights Reserved...

578 hits

34792021
article
Scintillation in (C6H5CH2NH3)2SnBr4: green-emitting lead-free perovskite halide materials
Diguna, Lina Jaya
We report the optical and scintillation properties of (C6H5CH2NH3)2SnBr4with excellent absorption length at 20 keV of 0.016 cm, measured bandgap of 2.51 eV, and photoluminescence lifetime of 1.05 ?s. The light yield obtained with the241Am source is 3600 � 600 photons per MeV, which is much smaller than the maximum attainable light yield obtained from the bandgap. Temperature dependent radioluminescence measurements confirm the presence of thermal quenching at room temperature with the activation energy and the ratio between the attempt and the radiative transition rates of 61 meV and 129, respectively. Although thermal quenching affects light yield at room temperature, this green light-emitting perovskite opens an avenue for new lead-free scintillating materials. ? The Royal Society of Chemistry 2021...

627 hits

34802021
article
Science, mathematics, engineering, and mathematics (STEM) education in Indonesia: a literature review
Khotimah, Rita Pramujiyanti
This study aims to describe: 1) the learning models used in the implementation of STEM education in Indonesia, 2) the level of education used in the implementation of STEM education in Indonesia, 3) the effect of STEM education in Indonesia on the students' learning outcome. This is a literature review study, 27 articles were analyzed based on the research method, level of education, learning models, and learning outcome. A within-case analysis was carried out to analyze the articles in the dataset. The research result showed that: 1)STEM education in Indonesia was carried out by using the learning models: Project Based Learning (PjBL), 6E, HOTS assessment based-learning, inquiry,Think Pair Share (TPS), Problem Based Learning (PBL), android game, digital and student book based-learning, PjBL is the learning model which most widely used in the implementation of STEM education in Indonesia, 2) STEM education in Indonesia was conducted in elementary school, junior and senior high school, .....

378 hits

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