Role of Time-Driven Resource-Consumption Accounting in Strategic Cost Reduction and Support of Supply Chain Management

The study aims to developResource-Consumption Accounting (RCA) by transforming the activities embodied in this approach fromtherigid multiple driversto aflexible unique time-driven driver by support pf supply chain management (SCM). This developmentis intended to overcome the criticisms directed at RCA,activating its role firstly in real cost reduction according to the production capacity mechanism and, secondly, in supply chain management support. The study adopts a theoretical descriptive approach,conceivingthe positives of RCA, Time-Driven Activity-Based Costing in an attempt to create a new approach that integrates the advantages of both approaches in order to reduce cost. It is concluded that Time-Driven Resource-Consumption Accounting (TDRCA) can lead to a real cost reduction and at the same timesupport supply chain management

Tradition and Transformation in Arab Education: The Challenge for Saudi Arabia

This thesis focuses on the developments in education in the Arab world .. It begins with a broad historical survey of traditional education in the Middle East. Traditional educational institutions are viewed in the context of the Islamic religious heritage and the various Islamic dynasties which developed throughout the Middle East. Then, the consequences of the Western influence on Arab education are explored. A brief history of Western colonial interests in the Middle East is given focusing on the effects of these colonial interests on the traditional educational programs. The Western impact began the process of modernization in the Arab world. Societies such as Egypt initiated broad-scale reforms in their educational institutions in order to transform their economic and technological infrastructures. Other Middle East Arab societies gradually followed in the footsteps of Egypt transforming their traditional educational programs and procedures. Finally, an examination of modernization in education in Saudi Arabia is offered as a case study of how a specific Arab society is attempting to modernize its educational system while conserving its religious values and traditions. Various factors are isolated which have enabled Saudi Arabia to maintain its religious heritage in the face of the rapid modernization of its educational institutions. The conclusion of the thesis is that, at least in the case of Saudi Arabia, the modernization of education will take a different form from that taken in Western societies. In the West modernization was linked with the secularization of educational institutions. But in Saudi Arabia modernization in education has been conjoined with Islamicization in education. This has, so far, enabled the Saudi state to maintain Islamic values and norms in the midst of rapid modernization. It is predicted that basic Islamic values, institutions, and norms will endure in Saudi society despite major changes in the economic structure. implications for other Islamic rapidly modernizing

Effect of Reactive Power Capability of the PV Inverter on the Power System Quality

Distributed generation (DG) based on a photovoltaic system (PV) connected to a power system is a very promising solution to meet the present demand for energy and to reap the advantages of using clean energy. With the exponential increase in the deployment of distributed energy sources based on renewable energy, the reactive power drawn from the grid has increased dramatically compared to the active power. This affects the quality of the power from the network. Reactive power is usually required to regulate the power factor and the grid voltage so as to improve the ability of the system to handle power. In this paper, the reactive power capacity of a PV inverter connected to the grid was determined using the MATLAB/Simulink program. The power (active and reactive) injected into the network were independently controlled by their reference values. A study was conducted on the effects of the injection/absorption of reactive power on the quality of power under different operating conditions

Evaluating the Effect of Quality Assurance Measures on the Performance of the Faculty Members at Applied Science University / kingdom of Bahrain

Higher education is one of the most important pillars for developing societies due to the position it occupies in preparing the frames (human and other resources) required to achieve the sustainable growth in addition to its role in making and disseminating knowledge. The adoption of the quality system in Higher Education is just a response to the requirements for continuous improvement, competition, and stimulation of human creativity. This research concentrates on tracking the effect that the Quality measures leave on the performance of the faculty members; who are the tools with which universities manage to improve their effectiveness, agility, and competitiveness position in all aspects of their work. The aim of this paper is to measure the effect of applying quality measures according to the framework developed by the National Authority for Qualifications and Quality Assurance of Education and Training (NAQQAET)/ Kingdom of Bahrain, on the performance of the faculty members of Applied Science University / Kingdom of Bahrain and determine the points of strength and weakness related to this effect. A survey with five dimensions representing the most important indicators in relation to quality of education has been designed. Proper statistical means have also been used to analyze the results obtained by the research sample. The research reached several conclusions, the most important ones are: the sample agreed on the effect of these measures on supporting the planning of aims achievements, and the fair assessments of the students work. However, it appeared that there was not enough awareness for the quality structure in relation to the depth of knowledge level especially at the advanced levels of the curriculum, in addition to consuming much of the time of the faculty members’ time, contributed to weakening the scientific research. Keywords: Quality Assurance, Performance, Faculty Members

Water Injection Shipper Pump Failures

Case StudyCS

Constructing a Software Tool for Detecting Face Mask-wearing by Machine Learning

       في عصر جائحة مرض كوفيد-19, لعبت أدوات هندسة البرمجيات والذكاء الاصطناعي دورا رئيسيا في مراقبة انتشارالفيروس وإدارته والتنبؤبه.وبحسب التقاريرالصادرةعن منظمة الصحة العالمية والتي توصي بجميع محاولات الوقاية من أي شكل من أشكال العدوى بين الناس، وخاصة في الأماكن العامة. احدى هذه المحاولات في تجنب العدوى هومطالبة الناس بارتداء أقنعة الوجه. على اية حال ،ولأسباب شخصية،لايميل بعض الأشخاص إلى ارتداء أقنعة الوجه لغرض الوقاية. الهدف من هذه الورقة العلمية هو بناء اداة برمجية تدعى كشف قناع الوجه لاكتشاف وتحديد اي شخص لايرتدي قناع الوجه وخاصة في الاماكن العامة باستخدام كاميرات المراقبة. التقنية لهذه الفكرة هي استخدام عدد كبير من صور وجوه الأشخاص, حيث ان بعض الصورلوجوه مرتدية اقنعة والبعض الاخر لايرتدي أقنعة. طريقة الكشف هي باستخدام تعليم الالة بواسطة الرسم البياني للمشتقات الموجهة لاستخراج العناصر المهمة, وتميزيها باستخدام آلة المتجهات الداعمة وهذه الطريقة تساهم بكشل كبير بتكامل وتحسين عملية كشف الاقنعة. عدة قواعد بيانات تحتوي على صور الوجوه المرتدية اقنعة متوفرة للعام وقد تم استخدامهم في تجارب هذا البحث. والنتيجة كانت كالاتي : 97%, 100%, 97.5%, 95% لRWMFD  & GENLI4k , SMFDB,MFRD, و MAFA & GENKI4k  بالتتابع. من خلال مقارنة نتائج نسب التمييز لهذا البحث مع بحوث في نفس التخصص وكانت النتائج واعدة ومنافسة. الجدير بالذكر ان تنفيذ هذا العمل تم باستخدام حاسوب شخصي بواسطة برنامج الماتلاب وكاميرة لفحص العمل في الوقت الحقيقي.       In the pandemic era of COVID19, software engineering and artificial intelligence tools played a major role in monitoring, managing, and predicting the spread of the virus. According to reports released by the World Health Organization, all attempts to prevent any form of infection are highly recommended among people. One side of avoiding infection is requiring people to wear face masks. The problem is that some people do not incline to wear a face mask, and guiding them manually by police is not easy especially in a large or public area to avoid this infection. The purpose of this paper is to construct a software tool called Face Mask Detection (FMD) to detect any face that does not wear a mask in a specific public area by using CCTV (closed-circuit television). The problem also occurs in case the software tool is inaccurate. The technique of this notion is to use large data of face images, some faces are wearing masks, and others are not wearing masks. The methodology is by using machine learning, which is characterized by a HOG (histogram orientation gradient) for extraction of features, then an SVM(support vector machine) for classification, as it can contribute to the literature and enhance mask detection accuracy. Several public datasets for masked and unmasked face images have been used in the experiments. The findings for accuracy are as follows: 97.00%, 100.0%, 97.50%, 95.0% for RWMFD (Real-world Masked Face Dataset)& GENK14k, SMFDB (Simulated Masked Face Recognition Dataset), MFRD (Masked Face Recognition Dataset), and MAFA (MAsked FAces)& GENK14k for databases, respectively. The results are promising as a comparison of this work has been made with the state-of-the-art. The workstation of this research used a webcam programmed by Matlab for real-time testing

Cognitive virtual ad hoc mobile cloud-based networking architecture

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University LondonThis thesis proposed cognitive techniques and intelligent algorithms that offered adaptive and advanced facilities to cloud-based networking by using Virtual Ad Hoc Mobile Cloud Computing Networks architecture (VAMCCNs). This is presented as a working case to address their global network challenges and to add cognitive support to the network design and implementation for better meeting traffic management and application requirements in mission objectives. The thesis concentrates on three main contributions. Firstly, an adaptive model, namely: a Heterogeneous Mobile Cloud Computing Network (HMCCN), was proposed to integrate different cloud networks architectures into one workflow. The cognitive data offloading task and the routing decision methods were applied using two different approaches: Fuzzy Analytic Hierarchy system (FAH) as a first approach and cognitive Software Defined Network (SDN) model as a second centralised approach. Experimental results show improvement in network reliability and throughputs, minimised in both nodes’ energy consumption and network latency with efficient intelligent data load balance and network resources allocation with best cloud model selection. Secondly, based on a virtual Ad Hoc cloud network with a realistic Random Waypoint Motion (RWM) model, an innovative cognitive routing algorithm was presented to improve efficient and reliable route selection among multiple possible routes. Routing protocols based on conventional, Fuzzy logic used important parameters with two data collections and decisions techniques and a new adaptive Intelligent Hybrid Fuzzy-Neural routing protocol (IHFN) that included prior knowledge to the network of the underlying motion and energy parameters were all proposed and compared. Results with the new hybrid algorithm shown a significant improvement to solve the network end-to-end performance degradation problem. The new hybrid protocol improved network throughput with an average of 20% higher than traditional Ad Hoc On-Demand Distance Vector (AODV) Routing protocol, improved the usage of network resources and reduced the maintenance process in adynamic topologies network. Finally, based on datasets collected from a realistic motion RWM model in a virtual Ad Hoc cloud network, the performance behaviour of six selected deep learning algorithms to predict the next steps of positions, speed and residual battery energy values of these mobile nodes have been evaluated and compared. This work goes further by presenting two algorithm's training techniques to predict the next 300-time steps of position, speed, and energy. Results and dissuasion show the differences concerning prediction accuracy between using the single node dataset model or Multiple node's dataset model

THE ANTI–ANGIOGENIC ACTIVITY OF PHOENIX DACTYLIFERA SEEDS EXTRACTS

Objective: To identify the possible anti–angiogenic activity of Phoenix dactylifera seeds extract.Methods: The powder of the date palm seeds was extracted sequentially with petroleum ether, chloroform, methanol and water using the cold method "maceration" as extraction process. The ex vivo rat aorta ring assay was used to screen the extracts for possible anti–angiogenesis activity, this assay was also used to determine the dose–response effect of the active extract(s) by preparing serial concentrations. Free radical scavenging activity of the active extract(s) was determined using DPPH (1, 1–diphenyl–2–picrylhydrazyl) assay.Results: The obtained data revealed that the four extracts exhibited significant inhibition of blood vessels growth when they were compared to the negative control (received DMSO 1%) (P<0.001), but chloroform and methanol extracts showed the highest percent of inhibition of blood vessels growth. According to the screening results, both chloroform and methanol extracts were selected for further investigation. Each of chloroform and methanol extracts of Phoenix dactylifera seeds exhibited a significant dose–dependent anti–angiogenesis effect with IC50 (30.9 µg/ml and 28.4 µg/ml) respectively. Furthermore, chloroform and methanol extracts exhibited a significant free radical scavenging activity (P<0.05) with IC50 (81.02 µg/ml and 16.33 µg/ml) respectively.Conclusion: the results revealed that each of chloroform and methanol extracts of phoenix dactylifere seeds exhibited the best and most significant anti–angiogenesis activity as well as a significant free radical scavenging activity.Â

Probleme und Förderung der gewerblichen kleinen und mittleren Unternehmen im Jemen/Taiz: Eine wirtschaftswissenschaftliche Untersuchung zur Bildungs-und Sozialentwicklung

Die jemenitische Gesellschaft und Kultur sowie die wirtschaftliche Entwicklung werden dargestellt. Bildung als Basis der nachhaltigen Entwicklung sowie die wirtschaftlichen Sektoren und Relevanz der KMU werden untersucht und beleuchtet. Anhand von quantitativen und qualitativen Erhebungen im Land bzw. in der Region Taiz werden die verschiedenen externen und die internen Probleme der gewerblichen KMU untersucht und analysiert sowie Lösungsmöglichkeiten aufgezeigt. Nationale und internationale Förderungen der KMU, Optimierungs- und Verbesserungsvorschläge werden analysiert und präsentiert

A REVIEW OF CURRENT NURSING PRACTICE AND EVIDENCE-BASED GUIDELINES IN ENTERAL NUTRITION IN THE CRITICALLY ILL PATIENT

Objectives: to provide an overview of evidence-based guidelines regarding some clinical practices related to enteral nutrition along with nursing adherence to these guidelines in the critically ill. Background: evidence-based guidelines for enteral nutrition curtailing the incidence of complications through managing gastric residual volumes, minimizing feeding interruption/under-feeding, confirming tube placement and preventing feeding system contamination. Design: an integrative literature review was employed to include various quantitative methodologies; however, RCTs predominated. Methods: electronic searching of CINAHL, Medline and Cochrane Library databases between 1995- 2011. Of 599 retrieved studies, 87 were included in the review. Results: The studies showed an inadequacy in nursing adherence to enteral nutrition evidence-based. Gastric residual volume should be strictly controlled using prokinetic agents, appropriate head of bed elevation and proper endo-tracheal tube cuff pressure. Feeding interruption should be avoided whenever is possible and an intentional increase to feeding rates/volumes are recommended to avoid under-feeding. X-ray and pH methods of confirming tube placement are more reliable and superior to capnometry and auscultatory methods. Feeding system hanging time should not exceed four consecutive days to prevent infection by endogenous source in addition to delivering formulae at closer body core temperature. Conclusion: evidence-based protocols should be employed effectively and consistently to eradicate discrepancies in nursing practice. Relevance to clinical practice: this paper highlights nursing role in prohibiting the majority of enteral nutrition complications through adhering to evidence-based guidelines