Volume 11 | Issue 12 |

 Abstract

In the epoch of advanced electronic and communication systems, it is being observed most of the times that the information is being assaulted with worms and viruses. To shield the data, a secure and advanced cryptosystem is required to devoid any type of dilemma. There are several tools and techniques that are being used, to meet the challenging needs for a highly secure transmission and reception system. In the spirit of algebraic abstraction, this paper advocates the definition and use of higher levels of abstraction in cryptography (and beyond). If contrasted with the standard bottom-up approach to defining models of computation, algorithms, complexity, efficiency, and then security of cryptographic schemes, our approach is top-down and axiomatic, where lower abstraction levels inherit the definitions and theorems (e.g. a composition theorem) from the higher level, but the definition or concretization of low levels is not required for proving theorems at the higher levels. The goal is to strive for simpler definitions, higher generality of results, simpler proofs, improved elegance, possibly better didactic suitability, and to derive new insights from the abstract viewpoint. Previously security was mainly concerned with the exchange of messages that took place in communication. After that some techniques came into existence that provided more reliable and superior results. But the prerequisite for a more secret system is increase in amount day by day. As the communication system is being more complex, according to the demand more advanced and protected cryptograms are important. In the following paper diverse cryptographic techniques have been analysed that serve the purpose of security from 1900 B.C up to the present day visual.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hieroglyphics Enigma Machine, DES, AES, RSA Quantum Cryptography

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The recent growth of e-commerce and the consumer's increasing interest in purchasing over the net have significantly changed the landscape of Indian retail market. Today customers are inclined to accept the changes and keep their eyes on the benefits they can obtain from online retailers. The recent example of changing consumer purchase pattern is the flipkart's 'Big Billion day' Sale. The growth in online sales can be partially attributed to the Internet's advantages of providing large amounts of information quickly and inexpensively and its growing accessibility. Yet, to reach its full potential, business owners who use ecommerce as a distribution channel need a clearer understanding of who buys online, what they buy online, why they buy online, and how the non-Internet buyer can be transformed into an online buyer in order to increase online sale. The purpose of this study is to understand and analyze the factors effecting online purchase decisions of Indian customer. The paper attempts to identify the determinants of online purchase intentions of youths in Indian context. Based on extensive literature review, factors effecting online purchase intentions, antecedents of service quality and consumer attitudes were identified and a structured-non-disguised questionnaire was prepared. The data was collected through survey of 200 students of graduation and post-graduation courses in Bareilly region of Uttar Pradesh. The questionnaire contained questions about consumer demographics, security and privacy concerns, technological familiarity, past online shopping experiences and intentions to buy various types of products through internet in future. The findings of the study indicate that customer online purchase intentions are significantly related to their gender, education, age, security concern, technological familiarity, and past online purchase frequency. Consumer buying behavior is also affected by product type, purchase frequency and expensiveness. Their purchase decisions are also found to be related with the online retailer's services like return, refund and delivery services. The framework of the research enhances understanding of the factors affecting customer online shopping behaviour, helps in profiling typical Indian online shoppers and may help e-marketers developing more specific marketing strategies to increase e-commerce sales.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online Shopping Intentions, Online Shopping, Customer Characteristics, e-Retailing, e-Commerce

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Workplace risk behaviors have been classified and thoroughly investigated, which reveals that they have the potential to pose major hazards to the health of employees as well as the general well-being of the business. Big data has further worsened the penalties and costs associated with damaging and unproductive employee behaviors, such as data leaks and the unlawful selling of user information. Examples of these types of acts include data leaks and the sale of user information. Because of this, it has become one of the most difficult obstacles that companies all over the globe must overcome. In response, the practices of human resource management (HRM) have increasingly centered their attention on minimizing unproductive behaviors via the deployment of high-performance work systems (HPWS) . It has been shown that emotional and cognitive burnout at work is connected with the incidence of both high-risk work behaviors and actions that are unproductive. As a result, it is essential for companies operating in the present period to investigate methods that might lessen the stress caused by tasks and improve the health of their staff. According to research, a robust feeling of firm commitment may favorably affect employee behavior, perhaps moderating unwanted behaviors while strengthening those that are desired. The purpose of the research will be to conduct an in-depth investigation into the theoretical underpinnings of unproductive behaviors. It will include the HPWS framework with the goal of identifying new areas of significance and making a contribution to efficient human resource management techniques.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Resource Management (HRM), High-performance Work Systems (HPWS), Big data, unproductive behaviors, deployment, Human Resource Management Techniques

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Philippines is known for its rich farmlands and vast natural resources, there is no question as to why the country is most likely known primarily as an agricultural country. The purpose of the paper is to determine the effects of non-price determinants which are the land input, the cost of production of crops, the farmers' wages, and COVID-19 on the production of major crops in the Philippines which are rice and corn. Using the Ordinary Least Squares to summarize and analyze the secondary data gathered from the Philippine Statistics Authority from 2010 - 2021, this proved that for Rice, The variables Land input and Cost of Production have a significant positive relationship while the production level while Farmer's wages have a significant negative impact. COVID-19 on the other hand is insignificant since Rice is an essential to every Filipino household even during the time of the Pandemic. For Corn, The variables Land input and Cost of Production also have a significant positive relationship while the production level while COVID-19 have a significant negative impact.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

crop productivity, land input, cost of production, farmers' wages, COVID-19

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vehicle surroundings are dynamic and movable, which poses special problems for Vehicular Ad Hoc Networks (VANETs). For the provision of different services, traffic control, and road safety, effective vehicle-to-vehicle communication is essential. The Vulture Optimization Algorithm based Hierarchical Routing Strategy (VOA-HRS), a revolutionary approach created especially to handle the complexities of routing in VANETs, is introduced in this study. To improve the efficiency and dependability of data transfer in automotive networks, VOA-HRS establishes a hierarchical routing system based on the concepts of the Vulture Optimization Algorithm. Because of the hierarchical architecture, communication within clusters may be effectively organized and managed by designating cluster heads according to predetermined criteria. The architecture, design, and implementation of VOA-HRS are covered in this research work, along with performance assessments utilizing important metrics such routing overhead, packet delivery ratio, and end-to-end delay. The simulation findings show encouraging gains in network performance and routing efficiency, proving the practicality and efficacy of VOA-HRS in resolving routing issues in VANETs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vehicular Ad hoc Network, Routing, Vulture Optimization Algorithm, Throughput, Delay, Overhead, Simulation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Solar and wind energy technologies have witnessed remarkable advancements in recent years, transforming the global energy landscape. This review paper provides a comprehensive analysis of the latest developments in solar and wind energy, encompassing technological innovations, environmental impacts, economic considerations, and policy frameworks. By examining a wide array of research studies and industry reports, this paper aims to shed light on the current state of these renewable energy sources and their potential to address the challenges of climate change and energy sustainability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar, Thermal, Photovoltaic, CSP, Wind.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Breast cancer is one of the most common cancers in women globally. Treatment for breast cancer is better than prevention. Numerous biological factors can cause breast cancer, which makes treating it with chemotherapy and/or radiation therapy extremely challenging and often results in undesirable side effects. Plant extracts have been used to treat almost every illness for millennia, and breast cancer is no different. Herbal medicines are a dependable option for treating cancer because of their low toxicity. Additionally, because herbal treatments are easily accessible and reasonably priced, most women who have been diagnosed with breast cancer happily accept them. In both in vitro and in vivo investigations conducted over the past ten years, it has been discovered that several plants and the compounds present in them exhibit promising anticancer effects against breast cancer cells. Even while natural compounds show promising preclinical results, their poor stability, water solubility, and bioavailability typically hinder the clinical translation of these medications. Attempts have been made to overcome these limitations, particularly through the application of nano-based drug delivery systems (NDDSs).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Breast cancer, Herbal remedies, Nanomedicine, Phytoconstituents, Targeted delivery

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Rhabdomyosarcomas are among the most common soft tissue tumours in children. These tumours are derived from mesenchymal tissue with a tendency toward myogenic differentiation that probably originates from immature and highly invasive satellite cells associated with the embryogenesis of skeletal muscle. Head and neck is the principal location of RMS - 36% of these tumours. However, relatively uncommon in the oral cavity, with involvement of the jaws being extremely rare.Some of these tumours are associated with high rates of recurrence and metastasis. Hence an early diagnosis and proper treatment plan will be crucial for saving the life of these children. Here a case of intraoral RMS is discussed with emphasis on imaging features.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rhabdomyosarcoma of oral cavity - A case report with imaging perspective

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence (AI) is used in many fields such as in advertising, online shopping, cars etc., In everyday life the AI is used such as applications like Google maps and also Waze which are used for analyzing traffic data in live and also provides the fastest route for the user to drive. Now- a-days the AI is also evolved in education. By adapting the AI, it can transform the classical way of learning and teaching to a modern way called as digital transformation. The aim of this article is to make a study on how AIML can be useful, if it is implemented in higher education such as in colleges or universities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

College education, Machine learning, Artificial intelligence

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Polycystic ovary syndrome (PCOS) is a common endocrine disease that affects women. Common features include Obesity i.e. Central Obesity, Menstrual irregularity and weak core muscle strength. Previous studies have proven that vigorous intensity aerobic exercise has reduced BMI & insulin resistance in polycystic ovarian syndrome. These studies's literature suggests that the ap0.plication of swiss ball exercises in combination with aerobic exercises may reduce the body weight and abdominal fat in polycystic ovarian syndrome. Women with polycystic ovarian syndrome also have a small increased risk of having impaired lung function, so in this study, it's important to include diaphragmatic breathing exercise to improve the lung function. So present study is conducted to find out the short-term effects of swiss ball exercises along with Diaphragmatic breathing exercise on body composition and quality of life in subjects with clinically diagnosed polycystic ovarian syndrome.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

pcos, swiss ball exercises, diaphragmatic breathing exercise, quality of life, bmi, body composition, skin fold measurements.

  License

Creative Commons Attribution 4.0 and The Open Definition