VOLUME 7, ISSUE 12, DECEMBER 2020

Abstract: Pseudomonas spp. is one of the foremost etiological agent causing severe infections of hospital admitted patients. This study was carried out to monitor the drug sensitivity patterns of the phenotypically identified Pseudomonas spp. collected from a nmber of admired diagnostic centers of Dhaka city, Bangladesh. A total of 50 non-duplicate isolates were characterized from various patients having diverse age groups and sex. The microorganisms found from varied specimens (i.e. urine, pus, sputum, ear secretions, wound swabs) were identified by a number of phenotypic and biochemical tests. Antibiotic susceptibility patterns against 20 different antibiotics were evaluated by the Agar-disc-diffusion method to comprehend antibiotic resistance profile of the isolates. All the isolates were presumptively detected as Pseudomonas spp. The female patients (68%) were likely to be more susceptible to the infections caused by Pseudomonas spp. than their male counterparts (32%). Most of isoltaes showed multi-drug resistant (MDR) property. The highest resistance was recorded against amoxyclav 100%, nitrofurantion 100%, cotrimoxazole 100%, cefuroxime 98%, azithromycin 92 %, ceftriaxone 86%, tygecycline 78% and nalidixic acid 70%. Thee findings of this study showed that colistin was the most effective drug for the inhibition of Pseudomonas spp. followed by piperacillin, meropenem and amikacin.

Keywords: Pseudomonas spp., multi-drug resistant, effective drug.

Abstract: The structural properties such as thickness, areal density and tightness factor of a series of polyester/cotton blended yarn knitted fabrics were analysed in an effort to determine physical basis of clothing comfort. Two types of samples were made; first 'before relaxation' and second 'after relaxation', to check whether the relaxation treatment affects these properties or not. The experimental results show that the fabric thickness, areal density, and tightness factor are affected by the fabric relaxation properties. Results observed were significantly affected by the relaxation treatment.

Keywords: Areal Density, Fabric Thickness, Tightness Factor, Wet Relaxation

Abstract: Electricity companies lose much of their income, either through illegal connections or dishonesty of customers for personal gain. Investigators are deploying various systems to detect theft and reduce non-operational losses. Methods such as Support Vector Machine (SVM), Fuzzy C-means Clustering, Fuzzy logic, user profiling, genetic algorithm, etc. are used to detect electricity theft. There are two drawbacks to using these systems based on this methodology: the accuracy and the infrastructure required to run them, such as smart energy meters, etc. Using the current analysis of the system, a new system can be proposed which aims to improve the accuracy of theft detection

Keywords: Include at least 4 keywords or phrases.

Abstract: Digital images carry large amount of information and play important role in every aspect of life. So, images are required to be in accurate form. However, during image acquisition, coding, transmission and processing, images are getting degraded by noise. noise interference changes true pixel value and distorts most of the part of image. Hence noise removal is important and it requires prior knowledge of type of noise, its effects and causes. So, this paper gives an over view of various types of noise.

Keywords: Noise models, PDF, mean, standard deviation

Abstract: This work presents the design of a software system for the management and administration of academic events in a higher education institution, which allows handling the information of the events in an efficient way, strengthening existing resources and fostering an organizational culture within the university community.

Keywords: Academic Events, Mobile Application, Web Service, Model View Controller.

Abstract: In this work, the recommended treatments for children with ASD are retaken, from the point of view of sensory stimulation, through occupational therapy for Mexican children, since it is proposed to ensure that a treatment by auditory stimulation can support or interact with a musical instrument as a game for children to receive motor, sensory, cognitive and emotional stimulation, based on the fact that auditory stimulation has been shown to be an excellent aid in stress and anxiety treatments.

Keywords: Autism Spectrum Disorder (ASD), Diagnostic and Statistical Manual of Mental Disorders (DSM), Sensory stimulation, Occupational therapy, Sensory integration.

Abstract: In the present study, 126 events of ICMEs have been utilized to derive their relationship with geomagnetic activities for the study period of 1996-2018 (a period encompassing solar Cycle 23 and 24). To discover the interconnection of ICMEs speed and geomagnetic activities, we incorporate the analysis technique by superposed epoch method. The current analysis depict that high-speed ICMEs and dst index are highly anti-correlated with each other for severe geomagnetic storm with a correlation coefficient of -0.7 for solar Cycle 23 and -0.5 for solar Cycle 24 whereas moderately anti-correlated with each other for moderate and intense geomagnetic storms. Furthermore, we observed that solar wind high-speed streams (HSSs) is a geo-effective parameter while solar wind slow-speed streams (SSSs) is not a geo-effective parameter. Morever, the time delay analysis has also been performed by the method of correlation for the introduced parameters.

Keywords: Geomagnetic storms, High speed solar wind streams, Slow speed solar wind streams, Interplanetary coronal mass ejections.

Abstract: The management of radioactive wastes generated from different sources is an alarming situation for the world. Radioactive waste contains radioactive material which is a by-product of nuclear power generation and other applications of nuclear fission or nuclear technology, such as research and medicine. Since these wastes have a lot of hazardous impact to most forms of life and the environment, various steps have been taken in order to protect the environment. In this paper we have discussed the strategy to manage nuclear waste and its disposal according to their properties.

Keywords: Radioactive Waste ,Nuclear power

Abstract: Construction of a new topology over the theory of a Model to visualize and discuss some of its interesting properties and results. It's actually creating a bridge between model theory and topology.

Keywords: Theory, Sub Theory, Theorem, Kuratowski's Closer Operator, Topology, Sd-Topology

Abstract: To achieve a tar free syngas production, the design and process variables of a gasifier must be considered and calibrated for optimum performance. This has been a major challenge in most gasification operation establishing the operating temperature with sensors considering the operational environment and duration. The research work presents a simple but valid process for the initial determination and calibration of temperature which can be done for any type of gasifier. This experimental calibration was done to establish the operating conditions of a laboratory scale fixed bed, downdraft gasifier for the conversion of wood waste to gaseous fuel using air as a medium by monitoring product parameters. The temperature, bed material, air flow ratio, nature and composition of the pellets and the product of the operation were considered for various trials. High temperature was achieved by increasing the refractory material used at the reduction zone of the bed and introducing char as bed material thus ensuring that the pyrolytic char is reduced with little or no tar in the product gas.

Keywords: Calibration, Downdraft gasifier, Temperature, Operating conditions, waste conversion.

Abstract: Volleyball is most popular game in the global and played at competitive and reactional level in all ages and both male and female group .The purpose of the research was to Plyometric exercise on Flexibility athletic power in students. The 25 volleyball players wer selected for sample size of the study and their age ranged between 20 -25 years. Only training was given to the experimental groups. Exclusion criteria were the presence of chronic medical conditions such as asthma, heart disease or any other condition that would put the subjects at risk when performing the experimental tests. The Plyometric exercise training program was planned as 12 weeks 4 day a week and 30 minutes in a day. The result reveals that there was significant effect of Plyometric exercise on Flexibility (p

Abstract: COVID-19 is a widespread viral disease that has caused enormous loss of the populations around the world. The virus specially targets the respiratory organs like lungs. The spreading of virus starts with the droplets of the infected person's sneeze, cough or breath which can be present in the air or any surface. If this surface comes in contact with either nose, eyes or ears through hands will give the virus a passage to the mucus membrane and down to the throat. After contact in 2 to 14 days the person may show few symptoms like itchy throat, cough, increase body temperature(fever), breathlessness etc. So as precautionary measure protecting our nose with face masks is essential, with sanitizing hands and monitoring the body temperature from time to time. Hence usage of automatic sanitising dispensers at the entrance of the organization can prevent the spread of viral disease.

Keywords: Hybrid monitoring system, STT, Contactless, All in one

Abstract: Nurses are assets for hospitals, because the largest human resources in health care in hospitals are occupied by nurses, the proportion of nurses among other human resources employed in health care facilities, of the six health workers the number of nurses is the largest reaching 49 % and nurses in hospital use 58.26% (Ministry of Health RI, 2016). So that the nurse's performance must be considered, the factors that influence performance are leadership style, motivation and job satisfaction. This study aims to determine the effect of transformational leadership style and motivation on job satisfaction and nurse performance. Samples of 172 respondents, the research method used is a quantitative method and this research analysis technique used is Structural Equation Model (SEM) which is operated through the lisrel program. The results of the study prove that transformational leadership and motivation have a significant positive effect on job satisfaction and performance, but job satisfaction has a negative effect on the performance of nurses in the hospital. It was concluded that the increasing transformational leadership style and motivation will increase job satisfaction and nurse performance, but the rise and fall of nurse performance is not affected by job satisfaction.

Keywords: Transformational leadership style, motivation, job satisfaction, nurse performance.

Abstract: There is no specific treatment of newly detected coronavirus available in the world but the risk of coronavirus disease may be reduce through enhancing the immunity system of the body. Coronavirus disease (COVID-19) is a more serious and fatal disease caused by a coronavirus discovered in the year 2019 in Wuhan. Coronavirus is a mild to severe respiratory illness and more five lakhs people lost their life around the world. Yoga is an ancient Indian practice that has been utilized in several ways, for several reasons, between many groups of people for centuries. Yoga has multiple physical, mental and spiritual benefits and holds that the influence of the mind on body is far more powerful than the influence of body on mind.

Keywords: Immunity, Yoga practice, virus, Severity, immunity, disease

Abstract: In this paper, we establish one key area where predictive analytics can bring value to the consumers of connected car platforms using state-of-the-art machine learning (ML) techniques such as long short-term memory (LSTM) networks. In addition to providing an idea of the kinks and challenges in the application and deployment of AI-driven predictive algorithms, we also describe some best practices that are essential to ensure that the AI-driven insights manifest themselves without compromising much on their accuracy and reliability. Though applied to the predictive insights associated with vehicle maintenance, the tools and practices described in this paper are generic. They can be used in similar contexts for predictive insights associated with other areas of connected car platforms. Connected car solutions have become one of the essential parts of the Internet of Things (IoT) and will continue to be a driving force behind innovation in the automotive industry. With the growth of Advanced Driver Assistance Systems (ADAS), in-car infotainment systems, and the continued evolution of automotive technologies targeting connected and automated driving, the industry is witnessing another wave of innovation in connected car platforms. Predictive insights can provide tangible value and benefits to the consumers of the connected car platforms. AI-driven predictive analytics bring great potential in harnessing connected car data to generate these valuable insights.

Keywords: Connected Car Platforms, Predictive Analysis, Industry 4.0, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Manufacturing (SM)

Abstract: In the modal analysis of plane frames, the primary objective is to determine the natural frequencies and associated mode shapes of the structure under free vibration. Dynamic analysis of frames requires the inclusion of axial effects in both the stiffness and mass matrices, along with coordinate transformation from local to global systems. Modal analysis facilitates the evaluation of vibration characteristics through the computation of eigenvalues and eigenvectors, which represent frequencies and mode shapes respectively. This study aims to investigate the vibration behavior, frequency, and mode shape of plane frames using the direct stiffness method. The stiffness and mass matrices are formulated, and computational models are developed using ANSYS and MATLAB codes. Comparative results are presented to validate the methodology and highlight the accuracy of the developed formulations.

Keywords: Steel plane frames, ANSYS, Finite element analysis (FEM).