The difficulties faced by physical education supervisors in colleges and University medium The Sports Union in formation of Balqa ' applied university sports teams From their point of view

This study aims to identify the difficulties facing supervisors and teachers of physical education in colleges and University medium towards the formation and training of sports teams, and identify differences in difficulty depending on the sex variable, and identify differences in difficulty depending on the variable educations. The study population consisted of (50) supervisors and teachers of physical education in Colleges and University medium. The sample of the study consisted of (25) supervisor of supervisors and teachers of physical education in Colleges and University medium represents (50%) of study population. Through the objectives of the study and the scientific method used in this study, in the light of data and information, through sample survey, after viewing and discussing the results of the study, the researcher had reached the following conclusions: 1. Difficulties found at supervisors and vocational growth. 2. Great difficulties found on areas such as (students, physical and sports potential, management, and implementation of the program). 3. Statistically significant differences in the difficulties facing supervisors and teachers of physical education in colleges and University medium towards the formation of sports teams and training between males and females for males to management and there is no mentioned differences at other areas. The study recommended that provision must be made for the formation and training of sports teams, by the departments of Colleges and University, to enable students from competitive sports activities through: Provide suitable and sufficient budget for sports teams and training in a University, a provision of  tools, equipment and sports clothing adequate and appropriate for these sports teams, at the beginning of each year, collectors and providing arenas and stadiums and gyms, training teams, and provide places for vanity and switch clothing in these stadiums. Develop a plan for the formation and training of sports teams by sports supervision in College from the beginning of the year marked and can be implemented, and to involve students in developing such a plan, and provide security and safety factors, and health care for the student, when coaching practice, participating in sporting activities with the sports teams representing colleges Keywords: physical education, supervisors, Sports Union, university

Hubungan antara kepimpinan spiritual dan komitmen organisasi dalam sektor perkhidmatan di Selangor

Dalam era modenisasi kini, adalah amat penting untuk menggalakkan pekerja mencapai potensi kerja yang maksima. Kerohanian atau spiritual di dalam organisasi akan memupuk tenaga kerja yang lebih komited, kreatif, beretika, dan produktif yang seterusnya membawa kepada peningkatan prestasi organisasi (Fry, 2003). Peranan pemimpin amatlah penting bagi memacu organisasi ke tahap yang lebih tinggi. Untuk itu, pemimpin perlu memahami bahawa seseorang itu perlu mencari makna kehidupan melalui kerja mereka (Fairholm, 1997). Selain itu, pekerja juga perlu melihat diri mereka sebagai insan rohani yang jiwa mereka memerlukan makanan di tempat kerja, yang mengalami rasa tujuan dan makna dalam pekerjaan mereka, dan rasa memerlukan antara satu sama lain dalam komuniti tempat kerja mereka (Milliman et al., 2003). Kepimpinan spiritual dianggap sebagai satu alternatif untuk membantu organisasi untuk meningkatkan kesejahteraan pekerja dan mempunyai rasa tanggungjawab sosial korporat tanpa keuntungan, menjana pertumbuhan pendapatan, dan juga menjadi pengukur bagi pengurusan kewangan (Fry & Cohen 2009)

A Systematic Review of therapeutic agents for the treatment of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV)

Background The Middle East Respiratory Syndrome Coronavirus (MERS-CoV) was first described in 2012 and attracted a great international attention due to multiple healthcare associated outbreaks. The disease carries a high case fatality rate of 34.5%, and there is no internationally or nationally recommended therapy. Method We searched MEDLINE, Science Direct, Embase and Scopus databases for relevant papers published till March 2019 describing in vitro, in vivo or human therapy of MERS. Results Initial search identified 62 articles: 52 articles were from Medline, 6 from Embase, and 4 from Science Direct. Based on the inclusions and exclusions criteria, 30 articles were included in the final review and comprised: 22 in vitro studies, 8 studies utilizing animal models, 13 studies in humans, and one study included both in vitro and animal model. There are a few promising therapeutic agents on the horizon. The combination of lopinavir/ritonavir and interferon-beta- 1b showed excellent results in common marmosets and currently is in a randomized control trial. Ribavirin and interferon were the most widely used combination and experience comes from a number of observational studies. Although, the data are heterogenous, this combination might be of potential benefit and deserve further investigation. There were no randomized clinical trials to recommend specific therapy for the treatment of MERS-CoV infection. Only one such study is planned for randomization and is pending completion. The study is based on a combination of lopinavir/ritonavir and interferon-beta- 1b. A fully human polyclonal IgG antibody (SAB-301) was safe and well tolerated in healthy individuals and this agent may deserve further testing for efficacy. Conclusion Despite multiple studies in humans there is no consensus on the optimal therapy for MERS-CoV. Randomized clinical trials are needed and potential therapies should be evaluated only in such clinical trials. In order to further enhance the therapeutic aroma for MERS-CoV infection, repurposing old drugs against MERS-CoV is an interesting strategy and deserves further consideration and use in clinical settings

An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics

The video analytics applications which are mostly running on embedded devices have become prevalent in today’s life. This proliferation has necessitated the development of System-on-Chips (SoC) to perform utmost processing in a single chip rather than discrete components. Embedded vision is bounded by stringent requirements, namely real-time performance, limited energy, and Adaptivity to cope with the standards evolution. Additionally, to design such complex SoCs, particularly in Zynq All Programmable SoC, the traditional hardware/software codesign approaches, which rely on software profiling to perform the hardware/software partitioning, have fallen short of achieving this task because profiling cannot predict the performance of application on hardware, thus, a model that relates the application characteristics to the platform performance is inevitable. Delivering real-time performance for the fast-growing video resolutions while maintaining the architecture flexibility is non-viable on processors, Graphic Processing Unit, Digital Signal Processor, and Application Specific Integrated Circuit. Furthermore, with semiconductor technology scaling, increased power dissipation is expected; whereas, the battery capacity is not expected to increase significantly. A Performance model for Zynq is developed using analytical method and used in hardware/software codesign to facilitate algorithms mapping to hardware. Afterwards, an SoC for real-time video analytics is realized on Zynq using Harris corner detection algorithm. A careful analysis of the algorithm and efficient utilization of Zynq resources results in highly parallelized and pipelined architecture outperforms the state-of-the-art. Running on a developed energy-aware adaptive SoC and utilizing dynamic partial reconfiguration, a context-aware configuration scheduler adheres to operating context and trades off between video resolution and energy consumption to sustain the uttermost operation time while delivering real-time performance. A realtime corners detection at 79.8, 176.9, and 504.2 frame per second for HD1080, HD720, and VGA, respectively, is achieved which outperform the state-of-the-art for HD720 by 31 times and for VGA by 3.5 times. The scheduler configures, at run-time, the appropriate hardware that satisfies the operating context and user-defined constraints among the accelerators that are developed for HD1080, HD720, and VGA video standards. The self-adaptive method achieves 1.77 times longer operation time than a parametrized IP core for the same battery capacity, with negligible reconfiguration energy overhead. A marginal effect of reconfiguration time overhead is observed, for instance, only two video frames are dropped for HD1080p60 during the reconfiguration. Facilitating the design process by using analytical modeling, and the efficient utilization of Zynq resources along with self-adaptivity results in an efficient energyaware SoC that provides real-time performance for video analytics

Electrochemical Aptasensor for Detection of Dopamine

This work presents a proof of concept of a novel, simple, and sensitive method of detection of dopamine, a neurotransmitter within the human brain. We propose a simple electrochemical method for the detection of dopamine using a dopamine-specific aptamer labeled with an electrochemically active ferrocene tag. Aptamers immobilized on the surface of gold screen-printed gold electrodes via thiol groups can change their secondary structure by wrapping around the target molecule. As a result, the ferrocene labels move closer to the electrode surface and subsequently increase the electron transfer. The cyclic voltammograms and impedance spectra recorded on electrodes in buffer solutions containing different concentration of dopamine showed, respectively, the increase in both the anodic and cathodic currents and decrease in the double layer resistance upon increasing the concentration of dopamine from 0.1 to 10 nM L-1. The high affinity of aptamer-dopamine binding (KD ≈ 5 nM) was found by the analysis of the binding kinetics. The occurrence of aptamer-dopamine binding was directly confirmed with spectroscopic ellipsometry measurements

Human Resource Management Practices and Innovation In Network Collaboration of SMEs Food Manufacturing Sector

The purpose of this study is to identify the network collaborators and network activities that are involved in the innovation of a company. This study also examines the HRM practices in enhancing innovative network collaboration amongst food manufacturing companies. This research was guided by a qualitative method that employs face to face interview technique. It was conducted in the southern region of Malaysia, the state of Johor. Three companies were chosen which involved three different personnel; the owner, the executive officers and the clerk from each respective company. This sample was selected using purposive sampling based on certain criteria; they are a food manufacturing company, categorized as small, medium-sized enterprise (SME) companies, and has operated for more than five years. The results were evaluated by using Miles and Huberman (1994) techniques which include data display, data reduction and drawing conclusion. In addition, content analysis and thematic analysis were also used to evaluate the findings. In conclusion, overall networking can have a positive impact on innovation in all organizational setups, for example in large organizations, small businesses and new entrepreneurial start-up business. The research reveals that effective HRM practices enhance innovation network collaboration in food manufacturing companies of Malaysia. Finally, this study contributes to the new field of HRM practices towards innovative networks in SMEs food manufacturing companies

Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach

This work reports on further development of an inhibition electrochemical sensor array based on immobilized bacteria for the preliminary detection of a wide range of organic and inorganic pollutants, such as heavy metal salts (HgCl2, PbCl2, CdCl2), pesticides (atrazine, simazine, DDVP), and petrochemicals (hexane, octane, pentane, toluene, pyrene, and ethanol) in water. A series of DC and AC electrochemical measurements, e.g., cyclic voltammograms and impedance spectroscopy, were carried out on screen-printed gold electrodes with three types of bacteria, namely Escherichia coli, Shewanella oneidensis, and Methylococcus capsulatus, immobilized via poly L-lysine. The results obtained showed a possibility of pattern recognition of the above pollutants by their inhibition effect on the three bacteria used. The analysis of a large amount of experimental data was carried out using an artificial neural network (ANN) programme for more accurate identification of pollutants as well as the estimation of their concentration. The results are encouraging for the development of a simple and cost-effective biosensing technology for preliminary in-field analysis (screening) of water samples for the presence of environmental pollutants