Charged participants and their electromagnetic fields in an expanding fluid

We investigate the space-time dependence of electromagnetic fields produced by charged participants in an expanding fluid. To address this problem, we need to solve the Maxwell's equations coupled to the hydrodynamics conservation equation, specifically the relativistic magnetohydrodynamics (RMHD) equations, since the charged participants move with the flow. To gain analytical insight, we approximate the problem by solving the equations in a fixed background Bjorken flow, onto which we solve Maxwell's equations. The dynamical electromagnetic fields interact with the fluid's kinematic quantities such as the shear tensor and the expansion scalar, leading to additional non-trivial coupling. We use mode decomposition of Green's function to solve the resulting non-linear coupled wave equations. We then use this function to calculate the electromagnetic field for two test cases: a point source and a transverse charge distribution. The results show that the resulting magnetic field vanishes at very early times, grows, and eventually falls at later times.Comment: 13 pages, 5 figures. Minor revisions and a new figure showing domain of influence adde

Fault Detection and Circuit Analysis of INSTRON 1603 Fatigue Testing Machine

Instron 1603 is a fatigue testing machine imported from England in 1987. This machine works on electromagnetic principle. Instron is presently supplying 8000’s series which are Hydraulic Based machines. 1603 can be used for testing up to 120 Hz load cycle where as the present machines can be used until 10Hz load cycle, this is where 1603 scores over present machines but strategically company has stopped manufacturing and service to this machine. The machine present in our institute is not in working condition from the past 2 years, the reason behind this is misalignment of circuits, and this is where we pitch in to look into the problem and fix it. The team’s objective was basically concerned with understanding the machine in depth, to make a total record of the machine and to do a strategic design of the controller and other important circuits to run the machine

Psychiatric comorbidity in multiple sclerosis

Aim: To study the prevalence of psychiatric comorbidities in patients of multiple sclerosisand their association to the degree of disability. Method: Psychiatric symptoms were assessed in 90 patients of multiple sclerosis using GHQ-12, MMSE, HADS, Beck Depression Inventory and AUDIT. Neurological disability wasassessed using Expanded Disability Status Scale. Correlations were determined between EDSS scores and psychiatric scale scores. Result: 61% of patients had significant psychological distress. Depression was most common (38.8%) which was followed by anxiety symptoms (27.8%). Cognitive functioning was relatively intact in patients with mild to moderate neurological disability. Alcohol abusewas mostly restricted to male gender. Conclusion: Psychiatric illness is highly prevalent in patients of multiple sclerosis leading to poor quality of life and significant distress. Psychiatric disability was higher in patients who had greater deterioration in neurological function. All cases of MS should be assessed for psychiatric morbidities as can be alleviated by appropriate intervention

Vegetation indices based farm-level mustard crop classification for the analysis of cropping pattern in Rabi 2021 and change in crop trend 2019 to 2021 of Kota District, Rajasthan

Remote sensing technology is used to quickly investigate as an innovative, standardized, potentially cost-effective, and faster method for crop acreage estimation. Furthermore, when compared to previous monitoring systems, Sentinel-2 satellite data has tremendous advantages since it delivers five-day interval, topographical, and up-to-date crop info at multiple phases. The main Rabi oil seed crop in Rajasthan is rapeseed and mustard. This study explores the use of the time series NDVI based farm level acreage estimation depending on the condition of the chlorophyll content. It also studies the changes in the cropping patterns and trends in Kota district, Rajasthan using the Google Earth Engine cloud platform along with the NCMS Mobile application for ground truth. Results indicate the reliability of the developed method for estimating acreage down to the farm level. Estimated Results for found to be in close agreement with authenticated government data. Two of the studied sub-districts showed significant cropping patterns. Classification accuracy for mustard ranged between 78-90 percent, while the overall classification accuracy 80-90 percent. The study concludes with the use of technology-based acreage estimations for faster and more reliable results

The Relationship Between Multiple Intelligences with Preferred Science Teaching and Science Process Skills

This study was undertaken to identify the relationship between multiple intelligences with preferred science teaching and science process skills. The design of the study is a survey using three questionnaires reported in the literature: Multiple Intelligences Questionnaire, Preferred Science Teaching Questionnaire and Science Process Skills Questionnaire. The study selected 300 primary school students from five (5) primary schools in Penang, Malaysia. The findings showed a relationship between kinesthetic, logical-mathematical, visual-spatial and naturalistic intelligences with the preferred science teaching. In addition there was a correlation between kinesthetic and visual-spatial intelligences with science process skills, implying that multiple intelligences are related to science learning

Pengaruh Penggunaan Limbah Tapioka sebagai Sumber Belajar terhadap Motivasi dan Hasil Belajar Siswa

: This aim of this research is to know (1) the differences of students\u27 motivation and achievement after using tapioca waste as learning resource in tenth grade, MAN 2 Pati in Archaebacteria and Eubacteria materials: (2) the effects of using tapioka waste as learning resources on students\u27 motivation and achievement in tenth grade, MAN 2 Pati. This research is quasi-experimental design with randomized control group, pre-post test. The study population was all students of Class X MAN 2 Pati, while the research sample is Class X-2 as the control group and Class X-3 as the experimental group. Data collection techniques were test and non-test techniques. The analyses used the t-test to determine differences in motivation and achievement. The results show that there is difference in learning motivation after using tapioca waste as a source of learning, indicated by the result of paired samples t-test, value of sig.(2-tailed)>α. There is no difference in learning achievement after using tapioca waste as a source of learning, which is indicated by paired sample t-test, the value of sig.(2-tailed)<α. Learning motivation and achievement of students who use tapioca waste as learning resources is higher than that of students who use the conventional learning resources

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Charged participants and their electromagnetic fields in an expanding fluid

We investigate the space-time dependence of electromagnetic fields produced by charged participants in an expanding fluid. To address this problem, we need to solve the Maxwell's equations coupled to the hydrodynamics conservation equation, specifically the relativistic magnetohydrodynamics (RMHD) equations, since the charged participants move with the flow. To gain analytical insight, we approximate the problem by solving the equations in a fixed background Bjorken flow, onto which we solve Maxwell's equations. The dynamical electromagnetic fields interact with the fluid's kinematic quantities such as the shear tensor and the expansion scalar, leading to additional non-trivial coupling. We use mode decomposition of Green's function to solve the resulting non-linear coupled wave equations. We then use this function to calculate the electromagnetic field for two test cases: a point source and a transverse charge distribution. The results show that the resulting magnetic field vanishes at very early times, grows, and eventually falls at later times