Volume 11 | Issue 4 |

 Abstract

Purpose: This research study aims to examine the relationship between the entrepreneurial characteristics and financial performance of small and medium scale enterprises, also to find out the influence of entrepreneurial characteristics have on the financial performance of the small and medium scale enterprises in Pune, India. Method: Data was collected through the random sampling method and the questionnaire was designed in five point ordinal scale precisely Likert scale. In total 254 entrepreneurs were administered with the questionnaire and data collected from 210 respondents were complete and useful for the research process. All the respondents are entrepreneurs from the industrial city Pune. Statistical Analysis: Descriptive Statistics were used for Frequency Distribution, Mean, Standard Deviation; Cronbach Alpha for Reliability Test, Variance Inflation Factor (VIF) for Multicollinearity, Karl Pearson Correlation Coefficient, Two-Tailed -T-Test, F-Test, ANOVA, and Multiple Regression Analysis. And all the data was processed through IBM SPSS 23. Findings: The study results showed that entrepreneurial characteristics have a significant and positive influence on the financial performance of small and medium scale enterprises located in the Pune, India. The most influential independent variable on the financial performance is risk-taking propensity followed by innovativeness, need for achievement, self-confidence, and locus of control.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Entrepreneurial Characteristics, Financial Performance, Small & Medium Scale Enterprises.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the number of devices on the internet increases, the need to protect against intrusions becomes crucial. An Intrusion Detection System (IDS) distinguishes incoming malicious network data from benign data. Traditional signature-based IDS are vulnerable to novel attacks, bringing the need for anomaly-based IDS that use machine learning to detect newer attacks. The thesis aims to research anomaly-based IDS focusing on deep learning methods. Traditional deep learning approaches are compared with Generative Adversarial Networks (GAN) and adversarial machine learning approaches. The methods are evaluated using statistical measures on two different datasets. During the evaluation phase, adversarial samples are considered along with benign and known attack samples. Finally, the best approach is benchmarked against existing open-source anomaly-based IDS. An approach employing a GAN to create adversarial samples performs better than all the other considered approaches. Additionally, the approach performs on par with existing anomaly-based IDS in the case of adversarial data points. We conclude that GAN-based approaches can be further developed to create intrusion detection systems that effectively defend against novel and adversarial attacks. Keywords: Critical Infrastructure, Machine Learning, Intrusion Detection Systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber security

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One of the most crucial aspects of our daily lives is electricity. For the full and proper use of our electricity, it must be done in the right manner. However, despite the fact that the country has a surplus of energy in many locations, there are still a large number of places that cannot even get access to it. Our goal is to lower monthly bills by using wireless technology and sending payments from remote locations straight to the electricity billing office. By doing this, we can cut down on the amount of time and effort now needed to visit every home in our system. The disadvantage of our existing bill payment system, which is a postpaid system, is that users' electricity use is not under any kind of user control. We intend to create a prepaid system for bill payment in order to reduce errors, as well as an IOT-based energy meter. This paper allows you to obtain the electricity bill, electricity providing days, and the previous bill. Our presented framework focuses on the part of smart grid parameter monitoring and calculation using IoT enabled smart meters (SMs). Our proposed system's first concept is that the load will consume the unit of energy and a bill will be generated based on the number of units consumed. The webpage will also provide real-time analysis. With the help of LCD displays, we can precisely determine the amount of energy consumed in the consumer node. In the second notion, we can observe the number of units consumed by the consumer side and, if they don't pay the Appropriate amount, we can use an IoT relay to disconnect the power supply. The third idea is to update to IoT while monitoring the current transformer of how much power the user uses.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Energy Meter, Internet of Things & LCD display

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Gestational diabetes mellitus (GDM) is a pregnancy-specific disease defined as 'diabetes that is first diagnosed in the 28 th week of pregnancy of pregnancy that is clearly not overt diabetes' The occurrence of Gestational Diabetes Mellitus (GDM), has been linked to obesity, GDM in earlier pregnancies, older maternal age, ethnicity and multiparty as well as family history of diabetes. Obesity is a known risk factor of GDM. The prevalence of gestational diabetes mellitus (GDM) varies in direct proportion with the prevalence of type 2 diabetes. We examined socio economic status, health and nutrition status a total of 522 women visiting community health centers (CHC) in Moka(94) and Torangal(428), were screened for GDM. In phase one the screening of the pregnant women for prevalence of GDM by one step procedure assessing plasma blood sugar values. In the present study (n=127) where having impaired glucose tolerance. The rural women diagnosed with impaired tolerance after screening were about 48.8 percent (62) in the age group of 20-21 years. A higher percentage of the subjects (79.5) predominantly belong to joint families. The family size of 2-4 members in the house hold was 42.5 percent and 35.4 percent were 5-6 members in a household. The age group in this study is lower because the subjects were primigravida. About 26.8 percent of them attained menarche at the age of 12 years and 11.8 percent of the respondents attained at 14 years. The age at marriage was found to be 59.1 percent in the age group of 18-19 years this indicates that the respondents were married in their teenage years in most of the rural households. The pre pregnancy weight was measured at the first antenatal visit 18.9 percent of the respondents were in the range of 39-42kg and 35.4 percent of the respondents were in the range of 43-47 kg and only 15 percent of the respondents were above 53 kg. 10.2 percent of the subjects were in very good health among all age groups and only 7.1 percent were having fair health status. However, the findings established the non significant association between age group and general health condition (x2 = 2.41NS). 86.4 percent of subjects in 21 and above years were not suffering from common ailments in the past 3 months. The association was significant (X2 = 6.17*). Subjects of nuclear family were having less incidence (15.4%) of common ailments when compared to joint family (37.6%) subjects, which was significant(X2 = 4.62*).On the whole the data reveals that association of age with incidence of maternal Diabetes is statistically significant ( X2 = 6.68*).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

pregnant women rural women gestational diabetes risk factors

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's world, fundamental rights are necessary, and each person has rights that make his or her life easier. The rights that are granted to an individual by the constitution are what constitute a person's fundamental right. The fundamental rights of people in two nations, India and the United States of America, will be discussed in this paper. There will be a discussion about how both countries ensure that the country's laws are properly enforced and understand the needs of its citizens. There will be a discussion about how India and the United States of America share fundamental rights. The few rights that exist in the two nations are also going to be the subject of discussion. Understanding the differences between the two major democracies in the world is the primary objective of this paper.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fundamental rights; Freedom; America; India.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy (CARASIL) is a single-gene disorder caused by mutations in the HTRA1 gene, which codes for HtrA serine peptidase/protease 1. (HTRA1). CARASIL, along with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy, is the second known genetic form of ischemic, nonhypertensive, cerebral small-vessel disease with an identified gene (CADASIL). The exact prevalence of CARASIL is currently unknown, but approximately 50 patients have been reported to date, the majority of whom were from Japan and two from China. Because no founder haplotype has been identified genetically, the disease is expected to be more widespread. The most common clinical manifestations of CARASIL are ischemic stroke or progressive deterioration in brain function.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cerebral autosomal recessive arteriopathy with subcortical infarcts and leukoencephalopathy; ischemic stroke; alopecia; spondylosis deformans; small-vessel disease; HTRA1

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In these generation of concrete world, there is a over extensive use of conventional concrete as a advantageous physical properties of it. As these concrete provides the structural rigidity at a glance with lower cost along with locally available material. As the consumption of material is more for conventional concrete day by day the hike in rates of material for conventional concrete is increasing. Hence its necessary to find out the alternative which is sustainable & compares the properties of material as same as conventional material. Conventional concrete is extensively used material world wide approximately up to three billions tones placed per year worldwide. The concern for emission of CO2 for manufacturing process. Hence there has been pressure by various environment protection agencies to reduce consumption of cement with intention to increase the inventions for usage of alternative mineral admixtures. Metakaolin looks to be promising supplementary material to the cement in conventional concrete by its properties along with availability of metakaolin in abundance in country is itself a advantage for these Green concrete. Here the substitution of metakaolin for cement is varied in proportions of 0%, 10%, 30%, 50%, 70 % by weight of cement. A cube casting for various proportions where done to determine the compressive strength of concrete. Hence the test result were evaluated and compare with various proportions to decide the percentage for addition of metakaolin as a additive material with cement for moving society toward Green concrete.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Green concrete; Metakaolin; Compressive strength; Conventional concrete; Mineral admixtures

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A market in which the prices always fully reflect available information is called 'efficient'. Event studies are the cleanest evidence that is present on semi-strong form efficiency. In 1969, Fama et al., undertook the first ever study and their results lend considerable support to the conclusion that the stock market is efficient. The event study method has become popular because it obviates the need to analyze accounting-based measures of profit. Event studies are based on the assumptions that markets are efficient, the event was unanticipated and there are no confounding effects during the event window.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

EVENT STUDY ANNOUNCEMENT OF STOCK SPLITS AND RIGHTS ISSUE AND ITS IMPACT ON THE MARKET, A STUDY WITH REFERENCE TO BOMBAY STOCK EXCHANGE, INDIA

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The literature associated with the Dalit movements is the sole subject of this thesis. This essay discusses the value of Dalit writers to society. It gravely worries the Dalit movements as well as their leaders and authors. The state of Dalit communities in contemporary society has been evaluated. I deliberately focused on the Dalit struggle and its effects on society.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dalit. Movement, Brahamanical, society and writer.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Big data and analytics have revolutionized the way businesses operate, from understanding customer behavior to streamlining internal operations. This paper explores the concept of big data, its importance in today's business landscape, and how analytics can be used to extract valuable insights from it. We also examine the challenges associated with big data analytics and some of the key technologies and tools used to overcome them. Our analysis suggests that big data and analytics will continue to shape the future of business, making it essential for companies to invest in the necessary infrastructure and talent to stay competitive.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Big Data, Analytics, Technologies, Processing

  License

Creative Commons Attribution 4.0 and The Open Definition