Total Total Ionization Cross Sections due to Electron Impact of Carbon Tetrafluoride from Ionization Threshold to 10 MeV

Modified Khare-BEB model has been used to calculate the electron impact ionization cross section for carbon tetrafluoride (CF4) from ionization threshold to 10 MeV. The collisional parameters CRP and also has been  calculated. The calculations are compared with available experimental data . A good agreement is found among the present results, other previous calculations, and experimental data

Review Study on E- Learning in Higher Education Administration and Management

Traditional learning methods like classroom teaching and distance learning have their own limitations. Current educational trends, the emergence of the knowledge society, societal changes, and globalization influenced the higher education at the greater level and thus resulted in a quality education and quality assurance, the transformation of the education system and changes in teaching and learning approaches like virtual learning and more technologically enhanced learning. Among a wide range of ICT tools, Learning Management System has been introduced to academic institutions and industries not more than two decades. It is an effort which points towards the role of the LMS in teaching and learning pedagogy, access and flexibility, and cost effectiveness in higher education and it is suggested for higher education institutions to integrate the LMS into their teaching and learning process in order to achieve effective learning outcome. It allows the users to experience meaningful learning by different learning styles, matching individual’ Sneed, self-paced learning, and promoting lifelong learning. Most significantly, Learning Management System has provided easy access to and thus promoted flexibility in learning that one can learn from anywhere and at any time without place and time constraints. Learning provided through Information Technology (IT), to some extent ensures high quality learning by providing necessary information at a convenient place and suitable time. It is clearly observed that e-Learning emphasizes on quality and effective presentation of information. E-learning is a technology which supports teaching and learning via a computer and the web technology. It bridges the gap between a teacher and a student in two different geographical locations. Advancement in internet and multimedia technology is the basic enable for e-learning. E-learning applications facilitate online access to learning content and administration. This paper presents literature based study only

Design Simulation and Performance Analysis of Soft Computing Based Islanding Detection System

In recent years, worldwide energy demand has been exaggerated. In addition the lack of adequate transmission capacity, exaggerated transmission and distribution misfortunes and the release of power advertising have been turned into an inspirational power driving the concept, Distributed Generators (DGs). Dispersed age unit (DG) slash hack expansion and mainly regional units linked to distribution to power the system yet to be hundreds of locals[1]. Distributed generation (DG) provides numerous endowments; energy loss decrease throughout force transmission and reduction in the size and scope of electrical cables. Use of the DGs with the present force distribution arrangements may improve the intensity standard by reducing power quality and other issues. The electricity standard is a partner degree that increases concerns for electrical services and their customers during the recent deca. Quality of helpless force is recognised for the variety of aggravations such as diminution of voltage, swelling, imprudent and intermittent homelessness, numerous results, short interference, sounds and voltage shimmers, etc. Methods for locating the system include either moving the boundaries of the system to accept changes in voltage, recurrence that significantly spread throughout the grid removal, or detecting system boundary changes within the islanded DGs through the presentation of small aggravations within the grid activities (dynamic procedures). Current study involves the detection of soft computing classification based on fumbling logic design. In addition, a detection system is presented based on the method of recognition of neural network patterns. The proposed algorithm is superior to contemporary active and passive islanding conditions The proposed algorithm is also created with the help of the proposed algorithm

Assessment Of Purisha At Laboratory Level- A Review

Ahara is panchabhautika, each element of ahara is not used by thebody, thus it is eliminated in the form of waste(Mala). The importanceof by products, produced during the digestion process, is as importantas food consumption in terms of nutrition for every body segment andthese phenomena are unavoidable. The proper formation of these malasis a reflection of the normal metabolic function and regular dhatuproduction, with good characteristics. Mala have the samephysiological value as dosha or dhatu, since they are considered to bebody moola. The metabolism will be affected if malas are not removedfrom the body, eventually leading to a malformation of tissues anddisease

Numerical Simulation and Design Analysis Survey of a Solar-Powered Electric Vehicle

The introduction of the Tesla in 2008 demonstrated the possibility of public electric vehicles to reduce fuel consumption and greenhouse gas emissions in the transportation industry. It catapulted electric vehicles into the spotlight around the world when, due to growing demand and fossil fuel prices, they reached unanticipatedly high levels at a time when emerging countries required significant economic growth. Electric automobiles' energy storage capacity, as well as the grid's expected erratic discharge and loading, provide significant operational and maintenance issues. For large numbers of vehicles to be integrated with the smart grid and electric vehicles, optimal preparation approaches are critical. Greenhouse gas emissions are one of the most serious environmental issues, and their rates are increasing rapidly as the world becomes more industrialised. Solar energy for transportation can help to solve this problem. The goal of the proposed effort is to include a green energy-supporting technology; imagine a situation in which we can utilise photovoltaic energy to charge vehicles that are integrated into the vehicle. The research highlights the functional aspects of electric vehicles and provides an illustrated literature analysis on recent breakthroughs in the field. The main components of an electric car with a solar photovoltaic system are also explained in the research report. The study is beneficial in gaining a better grasp of the properties and issues in the realm of electric vehicles

A STUDY ON ATTRITION AND RETENTION STRATEGIES OF MICROFINANCE SECTOR IN BANGALORE

This article explores the critical issues of attrition and retention strategies within the context of Microfinance Sector, Title: A Study on Attrition and Retention Strategies in the Microfinance Sector.The microfinance sector plays a pivotal role in extending financial services to the underserved and economically vulnerable populations.This study aims to investigate the factors contributing to attrition and the strategies employed for retaining talent in the microfinance sector. The study employs a mixed-methods approach, which includes both quantitative and qualitative data gathering methodologies. Primary data is gathered through surveys, interviews, and focus group discussions with microfinance employees and managers from a diverse range of organizations across various geographies. Secondary data is also analysed from industry reports and existing literature. The findings reveal that attrition in the microfinance sector is affected by a complex interplay of factors, including low remuneration, limited career growth opportunities, job stress, and work-life balance issues. Furthermore, the study identifies several successful retention strategies implemented by microfinance institutions, such as training and development programs, performance incentives, employee engagement initiatives, and effective leadership. This study adds to the current body of information by offering insights into the unique issues that microfinance organisations encounterin retaining their workforce and the innovative strategies they have adopted to address these challenges. The outcomes of this study can be used by microfinance organizations, policymakers, and industry stakeholders to develop and implement more effective retention strategies, ultimately improving the sustainability and social impact of microfinance operations. In conclusion, understanding attrition and retention dynamics in the microfinance sector is crucial for fostering a stable and motivated workforce, which in turn can enhance the sector's capacity to serve its target clientele and drive financial inclusion

Applications Of Machine Learning in Predicting Crop Yields for Sustainable Agriculture

Modern agriculture is increasingly adopting data-driven techniques to enhance productivity and sustainability. This comprehensive framework begins with Data Collection and Preprocessing, involving the meticulous sourcing of data from various channels and the critical processes of ensuring Data Quality and Cleaning. Machine Learning Models, such as Regression Models (including Linear Regression, Random Forest Regression, and Support Vector Machines), Time Series Analysis, and Deep Learning Models, play a pivotal role in predicting crop yields. These models are valuable tools that empower farmers and stakeholders to make informed decisions, optimize resource allocation, and respond to the ever-evolving challenges in agriculture. In this context, Predictive Features are harnessed, including Weather Data, Soil Quality and Composition, Pest and Disease Data, and Remote Sensing and Satellite Imagery. These features provide a holistic understanding of the factors that influence crop yields and enable the adoption of sustainable practices. However, the process is not without its Challenges and Considerations, encompassing data quality, model selection, local variability, interpretability, and adaptation to climate change. The Benefits of Yield Prediction in Sustainable Agriculture are extensive and include optimized resource management, early pest and disease control, sustainable land use, climate resilience, and data-driven decision-making. This data-driven approach supports the critical mission of ensuring food security, conserving resources, and building resilient agricultural systems for the future. Yield prediction is a transformative approach that not only increases agricultural productivity but also fosters sustainability and resilience in agricultur

An insight to self emulsifying drug delivery systems, their applications and importance in novel drug delivery

Abstract Since last couple of years Self-emulsifying drug delivery systems are becoming important tool in novel drug delivery. It is very useful in solving problems such as low bioavailability issues associated with poorly water soluble drugs. The bioavailability of lipophilic drugs (BCS-II and IV) can be enhanced by these systems. SEDDS is released in the lumen of the gastrointestinal tract (GIT) after administration and with the aid of GI fluid a fine emulsion (micro-/nanoemulsion) is formed. The increased surface area and amphoteric nature of SEDDS lead to increase in bioavailability. The hepatic first-pass effect can be bypassed by these systems because the drugs can subsequently be absorbed by lymphatic pathways. In this review we present a report on the formulation, characterization and dosage forms and applications of selfemulsifying formulations, with examples of currently marketed preparations