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Determination of suitable resource discovery tool and methodology for high-volume internet of things (IoT)
No full textThis paper discusses several issues supporting a knowledge-based methodology for discovery of high volume IoT resources in the simulator NS-3 environment. We found the concept was developed in
previous researches, especially based on widely accepted concepts of Q-Learning discovery model. The
model is validated using samples from emulations of tested data in the NS-3 simulator. Proper
simulation in NS-3 based on the different modules such as checkpoint and restore was used to model
and analyse the data. The main feasibility checkpointing concept of simulations in the NS-3 processes
were using Distributed Multi-Threaded Checkpointing (DMTCP) to run on a single machine and
Message Passing Interface (MPI) under distributed machine to speed up the NS-3 model initialization
and execution. As the chosen model to be implemented in this analysis, the Q-learning algorithm
proposal offers a possible solution for addressing evolving IoT environments and configurations. Q-learning is one of the successful techniques available for the exploration of IoT nodes, but context based problems have already been established and simplified as issues of dedicated server
management, IoT object data acquisition issues, and unique application requirements. The findings
empirically support the validation of the Q-Learning model improvement for high-volume IoT resource
discovery cases. The study will contribute to the new model development by providing new insights on
the conceptualization and validation of knowledge-based methodology based on widely accepted
techniques and approaches
An extensive comparison between CBSEM and consistent PLS-SEM on producing the estimates of construct correlation in applied research
No full textStructural Equation Modelling (SEM) is always recognized as the method of choice across research
fields when involving multiple construct, observed variables and relationships. However, there are a
very few studies had investigated the SEM efficiency on producing the construct correlation. Thus, the
Monte Carlo simulation was conducted on two different methods (CBSEM and Consistent PLS) using
different sample size and model. The findings revealed that the CBSEM is performed consistently than
Consistent PLS when the model being tested is in factor. The recommendations also provided to guide
the SEM users
Analgesic and anti-inflammatory effect of Stichopus vastus on animal model
No full textChronic pain is a major global health issue. Treating chronic pain
is a challenging task as there can be multiple contributing factors
for pain. Currently available opioid analgesics therapy is
frequently used to treat chronic pain. Although this mode effective
in certain cases, opiods may lead to greater health
consequences such as misuse or overdose.
Thus this study aims to evaluate the analgesic and antiinflammatory effect of Stichopus vastus extract on injury in rats.
Stichopus vastus or known as sea cucumber, is marine
invertebrate, is used in folk medicine for the treatment of various
diseases and disorder. Scientifically shown promising features of
anti-inflammatory and analgesics properties as reported by
previous literature
Geospatial approach for coastal vulnerability assessment of Selangor Coast, Malaysia
No full textThe length of the coast of peninsular Malaysia is approximately 4,809 km long. Coastal erosion
is recognized as the permanent loss of land and habitats along the shoreline resulting in the changes of
the coast . Thus, the aim of this study is to determine the vulnerability of erosion of the Selangor
coast caused by sea level rise events. In this paper, by using satellite imagery, both manual methods
and coastal extraction processing have been examined. Six variables consist of the coastal
vulnerability index (CVI), which are coastal geomorphology, coastal slope, erosion and accretion
rate, mean wave height, mean tidal range, and the increase in sea level. Vulnerability levels are
classified into five vulnerabilities for 8 management units along the Selangor coast which are very
medium, medium, moderate, high and very high. The finding reveals that the level of vulnerability of
MU 7 Pantai Jeram & Bagan Sungai Janggut is very high because the rate of erosion in the area is higher
compared to other areas. Finally, the outcome of this study provides a framework that can be used by
decision makers, and relevant authorities to implement mitigation and adaptation measures in the
effort to deal with the impacts of climate change on coastal regions
The impact of digital health marketing ads on tourism in Jordan
No full textThe Corona virus spread in the Chinese province at first, then quickly moved to the rest of the world, claiming the lives of many, burdening many patients, its future course became dangerous at all levels and fields, and its impact reached global. It affected health, social and economic sector. As the Corona virus is one of the most dangerous respiratory diseases that humanity is exposed to, due to the speed of its transmission between individuals and its effect on the lungs as life activities are not as normal as they were before. This leads to material and moral harm to humanity as a whole even after the discovery of the vaccine. This virus continues to be a challenge for many sectors, especially tourism which is an important driver of the workforce and economic dynamics in many Countries . This study aims to shed light on the challenges facing the tourism sector in Jordan. With the aim of reaching future plans capable of reviving this sector to face the challenges caused by Corona by measuring the impact of digital awareness announcements on the commitment of tourists to implement health safety instructions related to the Coronavirus. In order to achieve the objectives of the study, a study model was proposed, and then an electronic research survey was conducted for decision-makers in the tourism establishments. Accordingly, 100 questionnaires were distributed and 92 valid questionnaires were retrieved for the purposes of analysis and study on the basis of the structure. Equation modeling (SEM). When analyzing the data, the results showed that health advertisements and educational advertisements have a positive impact on digital advertisements, which in turn raise awareness and health protection for tourists through their commitment to health instructions during their visits to tourist sites and their practice of entertainment programs, and activities. As digital media plays an important role in the lives of individuals as it is the main information key for all individuals, which strengthens its role in spreading awareness of the Coronavirus, and this has been confirmed by the World Health Organization about the role of digital media in quickly reaching the public with regard to any important information to protect them. Therefore, digital advertising is considered to have the greatest impact in creating health awareness about this virus, and therefore this study confirms through the proposed model that deals with educational and health advertisements through digital media, that there is an important impact of digital advertising on the awareness and health sectors in creating protection from this virus among tourists, by making sure that health instructions are applied in the required manner that provides them with protection. There are many studies dealt with tourism promotion in Jordan, and the factors that help in encouraging tourism in Jordan in light of the Coronavirus have been discussed to provide a helping hand to decision-makers in the tourism sector to comprehensively understand the factors that affect individuals, by encouraging them to undertake tourist tours in light of The Corona pandemic. Through the perceptions of the study results, we recommend more future studies dealing with the marketing of digital health advertisements to increase awareness among tourists, which will ensure the reopening of the tourism sectors and alleviate the general health crisis in the sectors affected by closures. Despite the scientific contribution to this research, it suffers from some limitations, represented in the fact that the study is limited in Jordan only. It is possible if it was conducted in other countries with different terrain. There may be more comprehensive contributions, in addition to the fact that this study was conducted in a crisis, which may give some indications that are possible To be different in a normal situation
Pembelajaran bahasa arab menerusi karya sastera al-nadwi berjudul kisah para nabi untuk kanak-kanak
No full textBio-Ethanol Production from Fruit and Vegetable Waste by Using Saccharomyces cerevisiae
No full textWaste from the food is a challenge to the environment all over the globe, hence
there is need to be recycled. Vegetables and fruits biomass is a resource of renewable energy with significant fuel source potential for the production of electricity
and steam, fuel for consumption and laboratory solvents. Bioethanol derived from
biomass contributed 10–14% of the total world energy supply and solved the world
crisis such as global warming and depletion of fossil fuel. Presently, bioethanol is
a global issue on the efforts to reduced global pollution, contributed significantly
by the petroleum or diesel combustion or combination of both. Vegetables and
fruits waste significantly contains high sugar which can be utilized and serve as a
raw material in the production of renewable energy using Saccharomyces cerevisiae.
Though 80% of the current bioethanol are generated from edible materials such as
starch and sugar. Biomass from lignocellulosic gathered more attention recently.
The objective of this review is to account for the procedures involved in the production of bioethanol from biomass of fruits and vegetable waste through a fermentation process using Saccharomyces cerevisiae. In this chapter, we discussed the biomass
preparation and fermentation techniques for bioethanol and reviewed the results of
different fruits and vegetable waste. We found pineapple and orange fruit biomass
contain a higher amount of bioethanol and easier to extract than the other fruit and
vegetable wastes. Recent review coined out that dry biomass of fruit and vegetable
is a promising feedstock in the utilization of bioethanol production
The convergence properties of a new hybrid conjugate gradient parameter for unconstrained optimization models
No full textThe hybrid conjugate gradient (CG) algorithms are among the efficient modifications of the conjugate gradient
methods. Some interesting features of the hybrid modifications include inherenting the nice convergence properties
and efficient numerical performance of the existing CG methods. In this paper, we proposed a new hybrid CG
algorithm that inherits the features of the Rivaie et al. (RMIL∗) and Dai (RMIL+) conjugate gradient methods. The
proposed algorithm generates a descent direction under the strong Wolfe line search conditions. Preliminary results
on some benchmark problems reveal that the proposed method efficient and promising
