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Dataset on body weight, carapace width increment and growth band count of mud crabs, Scylla olivacea

Ikhwanuddin M, Amin-Safwan A, Hasyima-Ismail N, Azra MN

Data Brief, 2019 Oct;26:104477.
PMID: 31667242 DOI: 10.1016/j.dib.2019.104477

The present paper contains two datasets; i) the growth band count (GBC) of mud crab, Scylla olivacea collected from Setiu Wetlands, Terengganu coastal water, East coast of Peninsular Malaysia and ii) the increment sizes of body weight (BW) and carapace width (CW) of immature S. olivace after molting. The datasets presented here were associated with the research articles entitled i) "Study on carapace width growth band counts relationship of orange mud crab, S. olivacea (Herbst, 1796) from Terengganu Coastal Waters, Malaysia" (Hasyima-Ismail et al. 2017) [1] and ii) "Relationship between the carapace width and body weight increments and the confirmation of Stage 1 ovary after the molting of immature orange mud crabs, S. olivacea (Herbst, 1796), in captivity" (Amin-Safwan et al. 2019-2020) [2], and provided here as raw data of Supplementary materials. Raw datasets for GBC in the wild were generated by examination of the thin cross sectioning process of the gastric mill of S. olivacea. The GBC were measured for each individual crab wherein band counts ranged from 1 to 3. The analysis provides evidence that the GBC of the crabs can be determined through both mesocardiac and zygocardiac ossicles. This data is of importance to researchers for estimation of stock assessment and improvement of fisheries management to further improve policy. For the BW-CW increment data, a total of 135 immature crabs were sampled from Setiu Wetlands, Terengganu, Malaysia, and were introduced to limb autotomy technique in order to induced molt. Crabs were reared until successful molting and immediately prior to hardened shell, before final measurement of body weight and carapace width determination. Recorded data was analyzed by calculating the increment sizes, along with correlation and regression analysis between body weight and carapace width of mud crabs.
Fulltext Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?

Shamim A, Khan AA, Qureshi MA, Rafique H, Akhunzada A

Int J Environ Res Public Health, 2021 10 01;18(19).
PMID: 34639652 DOI: 10.3390/ijerph181910352

Traditional taxi services have now been transformed into e-hailing applications (EHA) such as Uber, Careem, Hailo, and Grab Car globally due to the proliferation of smartphone technology. On the one hand, these applications provide transport facilities. On the other hand, users are facing multiple issues in the adoption of EHAs. Despite problems, EHAs are still widely adopted globally. However, a sparse amount of research has been conducted related to EHAs, particular in regards to exploring the significant factors of intention behind using EHAs Therefore, there is a need to identify influencing factors that have a great impact on the adoption and acceptance of these applications. Hence, this research aims to present an empirical study on the factors influencing customers' intentions towards EHAs. The Technology Acceptance Model (TAM) was extended with four external factors: perceived mobility value, effort expectancy, perceived locational accuracy, and perceived price. A questionnaire was developed for the measurement of these factors. A survey was conducted with 211 users of EHAs to collect data. Structural equation modeling (SEM) was used to analyze the collected data. The results of this study exposed that perceived usefulness, perceived price, and perceived ease of use affect behavior intention to use EHAs. Furthermore, perceived ease of use was impacted by effort expectancy, perceived locational accuracy, and perceived mobility. The findings of the study provide a foundation to develop new guidelines for such applications that will be beneficial for developers and designers of these applications.
Fulltext Do health expenditure and human development index matter in the carbon emission function for ensuring sustainable development? Evidence from the heterogeneous panel

Pervaiz R, Faisal F, Rahman SU, Chander R, Ali A

Air Qual Atmos Health, 2021;14(11):1773-1784.
PMID: 34093896 DOI: 10.1007/s11869-021-01052-4

This study is an attempt to explain the nexus between health expenditures, GDP, human development index (HDI), CO2 emissions (COEM), renewable energy (RENE), financial development (FD) and electricity consumption (EC) using data from 2000Q1 to 2014Q4 for Brazil, India, China and South Africa. The study applies CIPS and CADF to determine the integration order. The tests confirmed the unique order of integration. The study further uses the Westerlund panel cointegration, which suggests the existence of a long-run relationship. Moreover, the panels dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS) are applied to ascertain the long-run elasticity. The health expenditure and electricity consumption affect the COEM positively. Moreover, HDI and RE affect COEM negatively. The study further confirms the existence of an N-shaped EKC in the long run. The pairwise Dumitrescu and Hurlin, Econ Model 29:1450-1460, (2012) test is used to uncover the direction of the association between the variables. The findings obtained from DH confirm a bidirectional causality between HDI and FD. Likewise, another bidirectional causal relationship has also been found between FD and EC. The findings of our study advocate policies in the direction of HDI and health expenditure by adopting RENE. This study highlights the importance of RENE, which can facilitate a reduction in carbon emissions and decreasing health expenditures. Moreover, the financial sector needs to be improved to create entrepreneurship opportunities for the public in improving the HDI in ensuring sustainable development.
Fulltext Psychometric properties of the Malay version Women's Views of Birth Postnatal Satisfaction Questionnaire using the Rasch measurement model: a cross-sectional study

Norhayati MN, Fatin Imtithal A, Nor Akma Y

BMC Pregnancy Childbirth, 2021 Oct 22;21(1):711.
PMID: 34686139 DOI: 10.1186/s12884-021-04184-8

BACKGROUND: Maternal satisfaction must be assessed in order to reflect the quality of care, which is considered an outcome of healthcare services. It can also be used to contrast and compare satisfaction with various care models or service configuration or to assess overtime changes. The purpose of this study was to investigate the psychometric properties of the Malay version Women's Views of Birth Postnatal Satisfaction Questionnaire (WOMBPNSQ) based on the Rasch scale model of labour satisfaction.
METHODS: This is a cross-sectional study. Postpartum women were identified from a tertiary hospital and evaluated at 1-month postnatal period using WOMBLSQ. The Rasch model was used to investigate the reliability, unidimensionality, item and person misfits and distribution map.
RESULTS: A total of 195 women were involved. The Rasch analysis revealed that the 30 items had a high level of reliability at 0.99 and item separation at 9.02. It has a low level of reliability at 0.45 and persons separation at 0.90. All the items are considered fit. Five people have most misfitting response strings based on item IPS_Q15, 'I was given little advice on contraception following the birth of my baby', but extremely trivial differences were found in the parameter estimates after refitting the model. The more difficult item to endorse satisfaction is item CA_Q17 'I was given little advice on contraception following the birth of my baby'.
CONCLUSIONS: The WOMBLSQ tested in postpartum women proved to have high item reliability index but with an adequate sample. The analysis shows that the 30 items target the right form of respondents, have similar latent characteristics of postpartum women and a shared sense of satisfaction. For future improvement, more difficult items endorsing satisfaction should be created, and the common items in which satisfaction is expected should be reduced.
Fulltext Effect of Fibre Surface Treatment and Nanofiller Addition on the Mechanical Properties of Flax/PLA Fibre Reinforced Epoxy Hybrid Nanocomposite

Amjad A, Abidin MSZ, Alshahrani H, Rahman AAA

Polymers (Basel), 2021 Nov 06;13(21).
PMID: 34771397 DOI: 10.3390/polym13213842

Natural fibre-based materials are gaining popularity in the composites industry, particularly for automotive structural and semi-structural applications, considering the growing interest and awareness towards sustainable product design. Surface treatment and nanofiller addition have become one of the most important aspects of improving natural fibre reinforced polymer composite performance. The novelty of this work is to examine the combined effect of fibre surface treatment with Alumina (Al2O3) and Magnesia (MgO) nanofillers on the mechanical (tensile, flexural, and impact) behaviour of biotex flax/PLA fibre reinforced epoxy hybrid nanocomposites. Al2O3 and MgO with a particle size of 50 nm were added in various weight proportions to the epoxy and flax/PLA fibre, and the composite laminates were formed using the vacuum bagging technique. The surface treatment of one set of fibres with a 5% NaOH solution was investigated for its effect on mechanical performance. The results indicate that the surface-treated reinforcement showed superior tensile, flexural, and impact properties compared to the untreated reinforcement. The addition of 3 wt. % nanofiller resulted in the best mechanical properties. SEM morphological images demonstrate various defects, including interfacial behaviour, fibre breakage, fibre pullout, voids, cracks, and agglomeration.
A new sulphated flavone and other phytoconstituents from the leaves of Tetracera indica Merr. and their alpha-glucosidase inhibitory activity

Alhassan AM, Ahmed QU, Latip J, Shah SAA

Nat Prod Res, 2019 Jan;33(1):1-8.
PMID: 29417849 DOI: 10.1080/14786419.2018.1437427

The bioactivity guided fractionation of Tetracera indica leaves crude ethanolic extract has afforded the isolation and characterization of six compounds including a new natural product viz., 5,7-dihydroxyflavone-O-8-sulphate (1) and five known flavonoids (2-6). The structures of the compounds were elucidated using 1D and 2D NMR and HRESIMS spectroscopic analyses. All the isolated compounds were evaluated for their in vitro inhibitory activity against alpha-glucosidase. Compound 1, 5 and 6 showed strong alpha-glucosidase inhibitory activity, 3 and 4 displayed weak activity while compound 2 was inactive. The interactions of the active compounds with alpha-glucosidase were further investigated using molecular docking to confirm their antidiabetic potential.
Fulltext Priority Queue Based Reactive Buffer Management Policy for Delay Tolerant Network under City Based Environments

Ayub Q, Ngadi A, Rashid S, Habib HA

PLoS One, 2018;13(2):e0191580.
PMID: 29438438 DOI: 10.1371/journal.pone.0191580

Delay Tolerant Network (DTN) multi-copy routing protocols are privileged to create and transmit multiple copies of each message that causes congestion and some messages are dropped. This process is known as reactive drop because messages were dropped re-actively to overcome buffer overflows. The existing reactive buffer management policies apply a single metric to drop source, relay and destine messages. Hereby, selection to drop a message is dubious because each message as source, relay or destine may have consumed dissimilar magnitude of network resources. Similarly, DTN has included time to live (ttl) parameter which defines lifetime of message. Hence, when ttl expires then message is automatically destroyed from relay nodes. However, time-to-live (ttl) is not applicable on messages reached at their destinations. Moreover, nodes keep replicating messages till ttl expires even-though large number of messages has already been dispersed. In this paper, we have proposed Priority Queue Based Reactive Buffer Management Policy (PQB-R) for DTN under City Based Environments. The PQB-R classifies buffered messages into source, relay and destine queues. Moreover, separate drop metric has been applied on individual queue. The experiment results prove that proposed PQB-R has reduced number of messages transmissions, message drop and increases delivery ratio.
Heavy metal monitoring, analysis and prediction in lakes and rivers: state of the art

Elzwayie A, Afan HA, Allawi MF, El-Shafie A

Environ Sci Pollut Res Int, 2017 May;24(13):12104-12117.
PMID: 28353110 DOI: 10.1007/s11356-017-8715-0

Several research efforts have been conducted to monitor and analyze the impact of environmental factors on the heavy metal concentrations and physicochemical properties of water bodies (lakes and rivers) in different countries worldwide. This article provides a general overview of the previous works that have been completed in monitoring and analyzing heavy metals. The intention of this review is to introduce the historical studies to distinguish and understand the previous challenges faced by researchers in analyzing heavy metal accumulation. In addition, this review introduces a survey on the importance of time increment sampling (monthly and/or seasonally) to comprehend and determine the rate of change of different parameters on a monthly and seasonal basis. Furthermore, suggestions are made for future research to achieve more understandable figures on heavy metal accumulation by considering climate conditions. Thus, the intent of the current study is the provision of reliable models for predicting future heavy metal accumulation in water bodies in different climates and pollution conditions so that water management can be achieved using intelligent proactive strategies and artificial neural network (ANN) techniques.
Fulltext How self leadership enhances normative commitment and work performance by engaging people at work?

Inam A, Ho JA, Sheikh AA, Shafqat M, Najam U

Curr Psychol, 2023;42(5):3596-3609.
PMID: 33867780 DOI: 10.1007/s12144-021-01697-5

Leadership and its connection with social sustainability are frequently prescribed for effective management. Integrating self-leadership among the employees is an emerging area to focus on empowering an organization. The principal objective of this study was to empirically investigate the impact of self-leadership on normative commitment and work performance through the mediating role of work engagement. This phenomenon of self-leadership was explained by using the theoretical lens of the social cognitive theory and intrinsic motivation theory. Data was collected from 318 employees who worked in the telecom sector in Pakistan and analyzed using Structural Equation Modeling (SEM) AMOS. The findings revealed that in the presence of self-leadership, employee's work engagement, commitment to the organization, and overall work performance elevated significantly. Furthermore, the results also illustrated the occurrence of two significant mediating paths. First, the mediating role of work engagement in the relationship between self-leadership and normative commitment, and second, the mediation of work engagement in the relationship between self-leadership and work performance. The findings of the study significantly contribute practically, and theoretically to the existing literature.
Fulltext Ensemble learning for multi-class COVID-19 detection from big data

Kaleem S, Sohail A, Tariq MU, Babar M, Qureshi B

PLoS One, 2023;18(10):e0292587.
PMID: 37819992 DOI: 10.1371/journal.pone.0292587

Coronavirus disease (COVID-19), which has caused a global pandemic, continues to have severe effects on human lives worldwide. Characterized by symptoms similar to pneumonia, its rapid spread requires innovative strategies for its early detection and management. In response to this crisis, data science and machine learning (ML) offer crucial solutions to complex problems, including those posed by COVID-19. One cost-effective approach to detect the disease is the use of chest X-rays, which is a common initial testing method. Although existing techniques are useful for detecting COVID-19 using X-rays, there is a need for further improvement in efficiency, particularly in terms of training and execution time. This article introduces an advanced architecture that leverages an ensemble learning technique for COVID-19 detection from chest X-ray images. Using a parallel and distributed framework, the proposed model integrates ensemble learning with big data analytics to facilitate parallel processing. This approach aims to enhance both execution and training times, ensuring a more effective detection process. The model's efficacy was validated through a comprehensive analysis of predicted and actual values, and its performance was meticulously evaluated for accuracy, precision, recall, and F-measure, and compared to state-of-the-art models. The work presented here not only contributes to the ongoing fight against COVID-19 but also showcases the wider applicability and potential of ensemble learning techniques in healthcare.
The Dynamic Nexus Between International Tourism and Environmental Degradation in Top Twenty Tourist Destinations: New Insights From Quantile-on-Quantile Approach

Ozturk I, Sharif A, Godil DI, Yousuf A, Tahir I

Eval Rev, 2023 Jun;47(3):532-562.
PMID: 36632679 DOI: 10.1177/0193841X221149809

Tourism is one of the important factors that can affect the environmental and economic situation of any economy. This study investigates the relationship between tourist arrivals and CO2 emission in the top 20 tourist destinations using data from quarterly observations from 1995 to 2018. A unique technique via quantile-on-quantile regression and Granger causality in quantiles was used. In particular, how the quantiles of tourist arrivals impact quantiles of CO2 emission was analyzed. The empirical results suggest a combination of both positive and negative effects of tourist arrivals and CO2 emission in most tourist destinations. Predominantly, at both high and low tails, in the USA, Spain, Hong Kong, and Austria, tourist arrival has a positive effect on CO2 emission, whereas in the case of Canada, France, Germany, Mexico, and Malaysia, the association was negative. On the other hand, China, Greece, Russia, Japan, Italy, South Korea, Thailand, and Turkey have both positive and negative effects of tourism on CO2 emissions at low and high tails. Tourism can be an important factor while formulating policy for environmental and climate aspects.
Fulltext Investigating science teachers' intention to adopt virtual reality through the integration of diffusion of innovation theory and theory of planned behaviour: the moderating role of perceived skills readiness

Al Breiki M, Al Abri A, Al Moosawi AM, Alburaiki A

Educ Inf Technol (Dordr), 2023;28(5):6165-6187.
PMID: 36406791 DOI: 10.1007/s10639-022-11367-z

This study contributes to the extant literature on instructional technology by investigating the relationships between the social and personal factors and behavioral intention to use virtual reality. Moreover, the current study examined the links between perceived characteristics of virtual reality and attitude and the moderating role that can be played by perceived skills readiness between those links. Inspired by the Theory of Planned Behaviour and Diffusion of Innovation Theory, a set of hypotheses was formed to test the proposed relationships using structural equation modeling partial least square to a sample of 171 science teachers in Oman. The results showed that attitude, social norms and perceived behavioral control can predict behavioral Intention to use virtual reality with attitude as the strongest predictor. Furthermore, the results indicated that relative advantage could predict attitude towards using virtual reality while compatibility and observability cannot. Finally, perceived skills readiness can strengthen the relationship between the perceived characteristics of virtual reality applications (relative advantage, compatibility and observability) and attitude towards using the virtual reality in the science classroom. Thus, this study highlights the importance of focussing on science teachers' skills readiness to use virtual reality so that they can use it confidently. Implications and future research studies are discussed.
Fulltext Stochastic Computing Convolutional Neural Network Architecture Reinvented for Highly Efficient Artificial Intelligence Workload on Field-Programmable Gate Array

Lee YY, Halim ZA, Wahab MNA, Almohamad TA

Research (Wash D C), 2024;7:0307.
PMID: 38439995 DOI: 10.34133/research.0307

Stochastic computing (SC) has a substantial amount of study on application-specific integrated circuit (ASIC) design for artificial intelligence (AI) edge computing, especially the convolutional neural network (CNN) algorithm. However, SC has little to no optimization on field-programmable gate array (FPGA). Scaling up the ASIC logic without FPGA-oriented designs is inefficient, while aggregating thousands of bitstreams is still challenging in the conventional SC. This research has reinvented several FPGA-efficient 8-bit SC CNN computing architectures, i.e., SC multiplexer multiply-accumulate, multiply-accumulate function generator, and binary rectified linear unit, and successfully scaled and implemented a fully parallel CNN model on Kintex7 FPGA. The proposed SC hardware only compromises 0.14% accuracy compared to binary computing on the handwriting Modified National Institute of Standards and Technology classification task and achieved at least 99.72% energy saving per image feedforward and 31× more data throughput than modern hardware. Unique to SC, early decision termination pushed the performance baseline exponentially with minimum accuracy loss, making SC CNN extremely lucrative for AI edge computing but limited to classification tasks. The SC's inherent noise heavily penalizes CNN regression performance, rendering SC unsuitable for regression tasks.
Fulltext Protective effects of Nigella sativa L. seed extract on lead induced neurotoxicity during development and early life in mouse models

Butt UJ, Shah SAA, Ahmed T, Zahid S

Toxicol Res (Camb), 2018 Jan 01;7(1):32-40.
PMID: 30090560 DOI: 10.1039/c7tx00201g

Lead (Pb), a ubiquitous heavy metal and a known neurotoxicant, produces adverse effects on the brain via increased production of reactive oxygen species (ROS) and causes oxidative stress. In this study we examined the neuroprotective effects of the ethanolic extract of Nigella sativa L. seeds on Pb induced oxidative stress in the developing brain of mice. Mouse pups were exposed to low (0.1%) and high (0.2%) doses of Pb from the first day of pregnancy through their mothers (via drinking water) and lactation until post-natal day (PND) 21. The mRNA expression levels of superoxide dismutase (SOD1), peroxiredoxin (Prdx6), amyloid precursor protein (APP) common, APP695 and APP770 were examined in the cortex and hippocampus of the mouse brain excised on PND 21 by semi-quantitative RT-PCR. The free radical scavenging activity of ethanolic Nigella sativa L. extract was assessed by DPPH assay. The results showed that Pb exposure caused a significant decrease in the expression of SOD1, Prdx6 and APP695 and an increase in APP770 in both cortex and hippocampus in a dose dependent manner as compared to the control group. The expression of APP common remained unaltered. Histological assessment of the cortex and hippocampus demonstrated a decrease in the neuronal number and Nissl bodies. The administration of 250 and 500 mg kg-1 ethanolic Nigella sativa L. extract reversed the adverse effects by significantly increasing the expression of SOD1, Prdx6 and APP695 and decreasing the expression of APP770 in both the regions. These results strongly suggest that Nigella sativa L. supplementation greatly improves Pb-induced neurotoxicity in early life and provides neuroprotective and antioxidant potentials.
Fulltext The implementation of teleneurosurgery in the management of referrals to a neurosurgical department in hospital sultanah amninah johor bahru

Hassan R, Siregar JA, A Rahman Mohd NA

Malays J Med Sci, 2014 Mar;21(2):54-62.
PMID: 24876808 MyJurnal

Telemedicine in neurosurgery or teleneurosurgery has been widely used for transmission of clinical data and images throughout the country since its implementation in 2006. The impact is a reduction of patient number that need to be reviewed in the level III hospitals and an increment in the number of patients that are kept in level II hospitals for observation by the primary team. This translates to reduction of unnecessary transfer of patients and subsequently cost benefits for patients and medical providers. The main aim is to determine the amount of reduction in unnecessary transfer by the implementation of teleneurosurgery in the management of referrals to neurosurgical department in Hospital Sultanah Amninah Johor Bahru (HSAJB). Other factors associated with transfer decision are also evaluated.
Fulltext A Retrospective Study on the First Cerebrospinal Fluid Taken from External Ventricular Drainage Insertion in Meningitis Patients with Hydrocephalus

Afifi AM, Abdullah JM, Siregar JA, Idris Z

Malays J Med Sci, 2019 Sep;26(5):64-73.
PMID: 31728119 MyJurnal DOI: 10.21315/mjms2019.26.5.6

Background: Ventriculoperitoneal (VP) shunting is a permanent form of cerebrospinal fluid (CSF) diversion that can be performed for hydrocephalus. Sterility of the CSF is an important prerequisite for permanent shunt placement. It has been hypothesised that in early stage of meningitis, ventricular CSF remains sterile. A study is conducted on the first CSF sample taken from patients suspected to have meningitic hydrocephalus.
Method: A retrospective review case records of patients who had undergone external ventricular drainage (EVD) for suspected meningitic hydropcephalus in Hospital Sultanah Aminah Johor Bahru (HSAJB), Johor, Malaysia.
Results: Fifty-one cases were analysed. Mean age of patients was 37.27 years old, with 64.7% of them was male. Univariate analysis revealed that the main parameters to determine CSF sterility were CSF glucose (95% CI, 0.852, 10.290, P = 0.001), CSF protein (CI 95%, 0.722, 14.898, P < 0.001), CSF gram stain (95% CI, 16.437, 0.877, P < 0.001 ) and CSF appearance ( 0.611, 6.362, P = 0.012). Multivariate analysis had proven that gram stain was the main parameter in the CSF analysis (CI 95%, 16.437, 0.029, P = 0.016). No significant differences in CSF results were observed from EVD and lumbar puncture.
Conclusion: The most significant parameter in CSF to determine infection was gram stain.
Fulltext Teleneurosurgery: Outcome of Mild Head Injury Patients Managed in Non-Neurosurgical Centre in the State of Johor

Sidek MSM, Siregar JA, Ghani ARI, Idris Z

Malays J Med Sci, 2018 Mar;25(2):95-104.
PMID: 30918459 DOI: 10.21315/mjms2018.25.2.10

Background: With teleneurosurgery, more patients with head injury are managed in the primary hospital under the care of general surgical unit. Growing concerns regarding the safety and outcome of these patients are valid and need to be addressed.
Method: This study is to evaluate the outcome of patients with mild head injury which were managed in non-neurosurgical centres with the help of teleneurosurgery. The study recruits samples from five primary hospitals utilising teleneurosurgery for neurosurgical consultations in managing mild head injury cases in Johor state. Two main outcomes were noted; favourable and unfavourable, with a follow up review of the Glasgow Outcome Scale (GOS) at 3 and 6 months.
Results: Total of 359 samples were recruited with a total of 11 (3.06%) patients have an unfavourable. no significant difference in GOS at 3 and 6 months for patient in the unfavourable group (P = 0.368).
Conclusion: In this study we have found no significant factors affecting the outcome of mild head injury patients managed in non-neurosurgical centres in Johor state using the help of teleneurosurgery.
The asymmetric role of freight and passenger transportation in testing EKC in the US economy: evidence from QARDL approach

Godil DI, Sharif A, Afshan S, Yousuf A, Khan SAR

Environ Sci Pollut Res Int, 2020 Aug;27(24):30108-30117.
PMID: 32447733 DOI: 10.1007/s11356-020-09299-7

This study examines the association between transportation services (i.e., passenger and freight) and carbon emissions concerning the US economy. The monthly data for this study were collected for the period from 2000 M1 to 2019 M8. In this study, QARDL econometric approach as discussed by Cho et al. (2015) has been used to tests the relationship between transportation services and CO2 emissions. Due to the chaotic and nonlinear behavior of our concerning variables, it was quite difficult to gauge the principle properties of their variations. Therefore, we relied on QARDL, which has been missing in previous researches. By utilizing the QARDL method, this research assesses the long-term stability of the nexus across the quantiles to provide an econometric framework that is more flexible than the traditional ones. In particular, the authors have analyzed how the quantiles of transportation (i.e., passenger and freight) influence the quantiles of CO2 emissions (environmental degradation). The empirical evidence revealed the negative significant relationship of both the transportation system (i.e., passenger and freight) with carbon emissions; however, this relationship holds at low quantiles of freight transport, whereas the same relationship has been observed at the majority of quantiles of passenger transport. So, this depicts that the transportation system of the USA helps to reduce CO2 emissions. Therefore, to maintain this situation, the government shall introduce more technologies that are fuel-efficient and promote clean consumption, thus reducing CO2 emissions, boosting economic growth, and making green transportation services.
Fulltext Sequencing and Annotated of Goat's Milk using Bioinformatics Tool: ClustalX

Muhammad Najmi Mohammad Fauzi, Aisyah Aqilah Abu Bakar, Liyana Amalina Adnan, Tg Ainul Farha Tg Abdul Rahman, A’wani Aziz Nurdalila

Malaysian Journal of Science, Health & Technology, 2021;7(1):28-33.
MyJurnal

Bioinformatics tool is a software program made to extract meaningful information from the mass of molecular biology or biological databases and carry out sequence or structural analysis. The method of determining the order of nucleotides within a deoxyribonucleic acid (DNA) molecule is known as DNA sequencing. This analysis is meant to be run to the commercialized or factorymade goat's milk (pasteurised) from various states in Malaysia to identify the milk's authenticity, either it is pure or mixed with other foreign substances from other animals. The main objective is to compare DNA sequences of commercialized and raw goat's milk (handmilking and non-pasteurised). To achieve this, we used ClustalX to align and compare the obtained DNA from both milk samples. The sequences will be aligned using ClustalX software. ClustalX is a provider of an automated system for performing multiple alignments of sequences and profiles and evaluating the outcomes. The usage of ClustalX is helpful as it is cost-effective, user-friendly, and showing a high accuracy of the analysis.
Effect of Discharge of Domestic Sewerage to Rivers And Coastal Waters of Malaysia

Lee YH, Zuriati Zakaria, Zanal Mohd Zain, Hazimin Harun, Farrah Anis Fazliatul Adnan, Suhaida Mohd Redzuan

Sains Malaysiana, 2004;33.

An investigation of the effect of discharge of domestic sewage to rivers at Kajang (Jeluh and Langat River) and coastal waters at Negeri Sembilan (Port Dickson and Blue Lagoon) was carried out. The parameters studied focused on the characteristics of sewage such as organic content (biochemiÂcal oxygen demand, BOD and nutrients (dissolved phosphate, (PO4) and nitrate (NO)). The discharge of domestic sewage from oxidation ponds near Kajang has resulted in high levels of BOD and PO4 in river water, i.e. 1.9-5.1 and 0.15-2.03 mg/L respectively. The increase in BOD is correlated (r =0.77) with the decrease in the level of dissolved oxygen (DO) in the river water. In general. the effects of domestic sewage discharge on water quality is more obvious in the Jeluh and Langat rivers at Kajang when compared to the effect on marine water.

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