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Scalability analysis of low-power wide area network technology
No full textLow-power wide area network is a new wireless communication technology designed for low-power consumption
together with long-distance communications, and LoRa technology is one of the leading technology solutions. The
long-range connection between end-nodes and gateway is achievable by LoRa devices due to star-based network
topology and modulation techniques used in wireless communication of the technology. One of the main features of
LoRa technology is the ability to scale. Modelling and simulation can interpret the actual network behaviour of LoRa
technology as accurate as possible. This paper aims to investigate the performance of the low-power wide area
network technology focusing on capability of the network to scale. We model the network system based on the
behaviours of the communication between the end-node and gateway. The simulation to study the scalability was
done based on several parameters, such as the number of end-nodes, application time and the number of channels
used by the end-node. The results show that the amount of successfully received data signal at gateway increased as
the application time and channel used increased
Performance indicators defining goal scoring opportunities in elite asian beach soccer: An artificial neural network approach
No full textThe game of beach soccer at the elite level is characterised with a high tempo that leads to the scoring
of many goals in a match. A draw cannot decide the outcome of a match, and thus, a winner is decided
by a team that scores more goals than the opponent hence, investigating performance indicators (PIs)
that could lead to a higher goal-scoring opportunity in this game is non-trivial in ensuring the success
of a team during a match. In the present study, an analysis of performance indicators was carried out
through which a total number of 16 relevant performance indicators were considered, and multiple
linear regression (MLR) was used to extract the significant PI that could lead to chances of scoring goals. An Artificial Neural Network (ANN) was used to predict the opportunities for scoring goals based
on the extracted PIs. The MLR was able to extract shot at back third, pass at front third, short inside
box, turnover, tackling, as well as fouls committed as the most significant PI whilst a robust predictive
model was obtained via the ANN with an R of 0.91 and a very low mean absolute error of 1.76
amongst the other model predictive evaluation parameters. It is postulated from the present study that
the identified PIs are essential in increasing the chances of scoring goals in the elite Asian beach soccer
competition
Determinants of customer purchase intention using zalora mobile commerce application
No full textIn the era of modern technologies and with the development of marketing, nowadays the customer
can save time buying things without having to visit the store. They just need to shop online, find what
they are buying and pay it with just a few simple clicks. With this convenience in mind, the indulgence
of people buying online has risen quite well. The customer 's decision to purchase a product through
Internet commerce under the concept of electronic commerce - which has been developed into ecommerce or mobile commerce - usually takes a serious action with perceived confidence in the
services and their suitability. Therefore, customer behaviour is an important factor to facilitate online
electronic service. Hence, it is important to understand customer perceptions on these services and
their intention of using it. Zalora is one of the fastest online search platforms providing kind of
world-famous brands in Malaysia. The objective of this study is to examine factors that influence
Malaysian consumers' purchase intention through Zalora mobile application . Based on the theory
of planned behaviour along with other factors, the study proposes a theoretical model for the empirical
examination of the customer intention for purchasing via Zalora mobile application . Data were
collected from sixteen respondents to test the relationship between variables. Data analysis was
carried out using PLS-SEM. The empirical results indicated that perceived friendliness, perceived
convenience, and perceived influence have a significant impact on purchase intention . The result may be preserved by providing an easy shopping experience to the user when using commerce sites
and building trust to maintain the intent to buy. In addition, this analysis is helpful for Zalora
marketers to suggest the most effective promotion methods in reference to further marketing of their
products
Nutritional management of child with failure to thrive
No full textAssessment Miss A is a 9 years old Malay girl who had been diagnosed with bronchial asthma since 2018 and recently was referred to the outpatient clinic due to failure to thrive (FTT). She is a full-term baby at the 39th week with a birth weight of 2.6kg. She is the youngest out of 5 siblings and currently studying at SK Bukit Payong. Both of her parents are working with her father works as a clerk while her mother works at a coffee shop. She also has a family history where her mother had childhood asthma and her father has a small built. Her mother claimed that she is a lightly active girl since she always on the gadget at home and rarely goes outside to play. Miss A's current weight and height are 17.7kg and 119cm respectively where both values are below the 3rd percentiles of the CDC growth chart, which indicates she is suffering from FTT. Miss A claimed that she had bowel open daily but sometimes constipated with type 1 of Bristol stool chart
Diagnosis Based on her dietary assessment, her estimated energy intake was 974kca1/day which is inadequate as it only achieved 55% of the energy requirement. She currently consumed full cream milk 1x/day and has minimal oral intake due to early satiety.
Intervention Hence, the main goal of the dietary intervention is to provide adequate energy and protein intake. Miss A is encouraged to increase the frequency of full cream milk to 2x/day and add MCT oil to her meals in view of her poor weight gain. Furthermore, the patient is encouraged to have energy and nutrient-dense meals and snacks for weight gain purposes.
Monitoring & Evaluation In short, to review and monitor the body weight changes, dietary intake and compliance with the intervention given
Prevalence, risk factors and lifestyle interventions of obstructive sleep apnea in adults: A scoping review
No full textIntroduction: Obstructive sleep apnea (OSA) is a sleep-disordered breathing which remains a critical concern in the obese population. It is associated with an increased risk of cardiovascular diseases. Objective: Our scoping review assesses the prevalence, risk factors, and lifestyle interventions of OSA among the adult population. Methodology: This scoping review uses the 5-stage methodological framework of Arksey and O'Malley. A comprehensive search of academic journals published from 2010 to 2020 was conducted in electronic databases such as PubMed, Med line in EBSCOhost, and Google Scholar. The initial search yielded 8,915 articles and a final result of 23 articles was selected. Results: The prevalence of OSA among obese adults ranged from 19.1% to 85.0%. The sig-nificant influence risk factors for OSA are older age, male, obesity, some components of metabolic syndrome such as hypertension, hyperglycemia, and dyslipidemia, physical inactivity, smoking, hours of work, and clinical symptoms, such as snoring, excessive day-time sleepiness, nocturnal awakenings, and respiratory pauses. Increasing daily physical activity, dietary modification, and weight loss are the lifestyle interventions for OSA. Conclusion: Obese individuals are at greater risk of developing OSA and are generally undiagnosed. It is important for healthcare professionals to screen individuals who are at high risk. Screening for OSA is recommended particularly among those obese older male adults with co-morbidities, presenting OSA clinical symptoms, and practicing unhealthy lifestyles. For individuals with mild to moderate OSA, lifestyle interventions are essential to decrease the prevalence of OSA, improve sleep quality, neurocognitive function, mood, and quality of life
Establishing diagnostic reference levels for computed tomography examinations in Terengganu: Head, thorax and abdomen
No full textObjective: Computed Tomography (CT) is commonly used for various diagnostic examinations. Despite constant improvements to
imaging technologies, the radiation dose to patients remains a concern. Diagnostic reference levels (DRLs) are used to identify any
facility when using high radiation dose during CT. This study aims to assess current patient dose and establish new local diagnostic
levels (LDRLs) for Computed Tomography (CT) examinations of brain, thorax, and abdomen at multiple sites in Terengganu, Malaysia.
Materials and Methods: A comprehensive booklet survey was designed to record patient data and scanning protocols for three CT
examinations. Data were collected retrospectively from the participating centers. LDRLs were defined as the values within 75th and
50th of volumetric CT dose index (CTDIvol) and dose length product (DLP). Data sets collected were related to 82 of CT brain, 96 of
CT thorax, and 120 of CT abdomen.
Results: LDRLs for CTDIvol and DLP for CT brain, thorax, and abdomen were 52.08 ± 7.62 mGy/960.57 ± 756.67 mGy∙cm, 14.58 ±
7.49 mGy/960.57 ± 756.67 mGy∙cm and 17.97 ± 11.35 mGy/842.67 ± 541.59 mGy∙cm, respectively.
Conclusion: As compared to national DRLs, the LDRLs are comparable and within the range of acceptable percentiles, except for DLP
values for thorax and abdomen are slightly exceeded. Major variations in patient dose during CT examination occur due to differences
in CT scanners, scanning protocols, and modes