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Factors influencing acceptance of home-based accounting services (hbas) for micro-entrepreneurs: UiTM postgraduate accounting students perspectives
Corporate social responsibility management (csrm) with islamic philanthropy concept for enhancing mudarabah family takaful model in Malaysia
The purpose of this study is to explore the opportunities of integrating Islamic Philanthropy and Corporate Social Responsibility Management (CSRM) with Brand Personality concept for enhancing Mudarabah Family Takaful Model. The application of CSRM with the best practice in Islamic Philanthropy has been circulating in recent years. Since Takaful services are only provided to those, who have affordability with a good health condition. But supposedly those have inadequate and suffering from a variety of chronic illnesses, and health problems need more medical and health services. The current practice of this study is to review a practical approach in establishing Islamic Philanthropy and Social Responsibility Concept to Enhance Mudarabah Family Takaful Model in Malaysia. This study is called upon to examine how these marginalized groups can enjoy the same facilities as those who are qualified to get the services and benefits of the Takaful. The CSR Theories refer to the implementation of this model in Malaysian Takaful Industry. It is used to establish the conceptual framework of this study. Theoretically, the current study is perhaps one of the first to explore Islamic Philanthropy and Social Responsibility concept to improve the Mudarabah Family Takaful Model. Practically the study proposes to develop a new model and plan based on the dimensions of the Halal brand personality concept of Purity, Secure, Quality, Beneficial and Religious Compliance for beneficial to all people in Malaysia
The relationship between volunteers satisfaction and ntention to continue volunteering in community running events
Small bowel obstruction secondary to obturator hernia: A pre-operative diagnosis at computed tomography
Obturator hernia is rare, but it must be considered in elderly patients who present with small
bowel obstruction. The diagnosis is challenging unless there is a high index of suspicion as
the presenting symptoms and signs are usually non-specific. Presence of positive HowshipRomberg sign is considered pathognomonic. Early diagnosis and rapid surgical intervention
will reduce the high morbidity and mortality associated with undiagnosed obturator hernia. We
report a case of a 93-year-old female patient who was admitted to our surgical department with
symptoms of intestinal obstruction of 3-days duration. Howship-Romberg sign was negative.
Computed tomography (CT) demonstrated the presence of left obturator hernia with proximal
small bowel obstruction and no sign of strangulation. The patient had emergency laparotomy
post-CT where the incarcerated bowel loop was released and the obstructed bowel was
decompressed without any complication. The hernial defect was close with a mesh and the
patient had an uneventful recovery post-surgery. In this case, we highlight that diagnosis of
obturator hernia must always be considered in elderly patients who present with intestinal
obstruction. Urgent CT could establish a rapid pre-operative diagnosis and aids in appropriate
surgical intervention planning which is crucial in optimising the outcome
Pregnancy with COVID-19 in Malaysia: A case series
This case series highlights the outcome of four pregnancies complicated with COVID-19, as
the pandemic of coronavirus disease 2019 (COVID-19) poses a lot of uncertainties due to lack
of scientific evidence in guiding the management of pregnancy with COVID-19. The women
were between 25 and 31 years of age and of 35 - 39 weeks of gestation with no underlying
medical problems. Three women were delivered via caesarean section and one woman was
delivered via ventouse delivery due to poor progress during the second stage of labour. Two
women were in stage 4 of the disease (having breathing difficulties and requiring oxygen
support) at presentations. One of them was treated with hydroxychloroquine (HC) only while
another one was treated with both HC and antiviral medicationsnone required assisted
ventilation during their hospitalizations. There is no vertical transmission of COVID-19 disease
observed in this case series
Peranan komuniti pembelajaran professional dalam efikasi kendiri guru sekolah rendah Sarawak
Review of the multi-objective swarm intelligence optimization algorithms
Multi-objective swarm intelligence (MOSI) metaheuristics were proposed to solve multi-objective optimization problems (MOPs) that consists of two or more conflict objectives, in which improving an objective leads to the degradation of the other. The MOSI algorithms are based on the integration of single objective algorithms and multi-objective optimization (MOO) approach. The MOO approaches include scalarization, Pareto dominance, decomposition and indicator-based. In this paper, the status of MOO research and state-of-the-art MOSI algorithms namely, multi-objective particle swarm, artificial bee colony, firefly algorithm, bat algorithm, gravitational search algorithm, grey wolf optimizer, bacterial foraging and moth-flame optimization algorithms have been reviewed. These reviewed algorithms were mainly developed to solve continuous MOPs. The review is based on how the algorithms deal with objective functions using MOO approaches, the benchmark MOPs used in the evaluation and performance metrics. Furthermore, it describes the advantages and disadvantages of each MOO approach and provides some possible future research directions in this area. The results show that several MOO approaches have not been used in most of the proposed MOSI algorithms. Integrating other different MOO approaches may help in developing more effective optimization algorithms, especially in solving complex MOPs. Furthermore, most of the MOSI algorithms have been evaluated using MOPs with two objectives, which clarifies open issues in this research are
A review on augmented reality tracking methods for maintenance of robots
Augmented reality (AR) in maintenance is a broad subject with many nuances when it comes to their implementation. The applications of these systems range from maintenance of large-scale assets such as buildings to smaller scale assets such as robots. Applications of AR in maintenance typically serves as a visual guide to assist users in diagnosis or steps needed to be performed for maintenance. In this paper, the tracking methods utilized in AR-based maintenance for robots are qualitatively evaluated. The reviewed works in this paper are between the years of 2015 to 2020 to ensure that the AR tracking methods are relatively state of the art. It is found that applications of AR-based maintenance for robots are uncommon in the scope defined in this research especially in the industrial environment as most reviewed works are conducted in a laboratory setting. In addition to that, it is found that marker-based tracking methods are commonly utilized in these applications