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Impact of Meltdown and Spectre Threats in Parallel Processing
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Impact of Meltdown and Spectre Threats in Parallel Processing
Threat characterization is critical for associations, as it is an imperative move towards execution of data security. Vast majority of the current threat characterizations recorded threats in static courses without connecting risks to information system zones. The aim of this paper is to represent each threat in different areas of the information system the methodology to solve the problem. Data security is habitually represented to different kinds of threats which may cause distinctive types of harms that can prompt to critical monetary losses. Data security problems can go from small losses to entire data framework destruction. The effect of various threats vary extensively: some manipulate the integrity or confidentiality of information while others manipulate the accessibility of a framework. At present, associations are trying to comprehend what are the threats to their data resources are and what are the ways to get the significant intends to combat them which keep on representing a challenge. Springer Nature Switzerland AG 2020. -
Impact of management - Information - system (MIS) on effective HRM in a business /
Patent Number: 202241006289, Applicant: Dr.K.Santhana Lakshmi.
Impact of Management- Information- System (MIS) on effective HRM in a business Abstract: Human resource management is now recognised as a critical component of business. The human resources department of an ERP system has a transaction processing layer that handles tasks such as attendance tracking and wage calculation. Tracking employees is also a component of operational work. This serves as the jumping-off point for strategic work. With the increasing importance of human resource management and the growing size of businesses, maintaining employee data and producing accurate reports have become critical components of any business's operations and strategy. -
Impact of management - Information - system (MIS) on effective HRM in a business /
Patent Number: 202241006289, Applicant: Dr.K.Santhana Lakshmi.
Impact of Management- Information- System (MIS) on effective HRM in a business Abstract: Human resource management is now recognised as a critical component of business. The human resources department of an ERP system has a transaction processing layer that handles tasks such as attendance tracking and wage calculation. Tracking employees is also a component of operational work. This serves as the jumping-off point for strategic work. With the increasing importance of human resource management and the growing size of businesses, maintaining employee data and producing accurate reports have become critical components of any business's operations and strategy. -
Impact of management - Information - system (MIS) on effective HRM in a business /
Patent Number: 202241006289, Applicant: Dr.K.Santhana Lakshmi.
Impact of Management- Information- System (MIS) on effective HRM in a business Abstract: Human resource management is now recognised as a critical component of business. The human resources department of an ERP system has a transaction processing layer that handles tasks such as attendance tracking and wage calculation. Tracking employees is also a component of operational work. This serves as the jumping-off point for strategic work. With the increasing importance of human resource management and the growing size of businesses, maintaining employee data and producing accurate reports have become critical components of any business's operations and strategy. -
Impact of management - Information - system (MIS) on effective HRM in a business /
Patent Number: 202241006289, Applicant: Dr.K.Santhana Lakshmi.
Impact of Management- Information- System (MIS) on effective HRM in a business Abstract: Human resource management is now recognised as a critical component of business. The human resources department of an ERP system has a transaction processing layer that handles tasks such as attendance tracking and wage calculation. Tracking employees is also a component of operational work. This serves as the jumping-off point for strategic work. With the increasing importance of human resource management and the growing size of businesses, maintaining employee data and producing accurate reports have become critical components of any business's operations and strategy. -
Impact of Mahatma Gandhi National Rural Employment Guarantee Act on Rural Credit System in India: A Standard Logit Difference in Difference Approach
The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) of India is one of the most extensive social safety nets programs in the developing world. The initiative attempts to enhance rural livelihoods in India by lowering rural poor vulnerability and misery. The programs nature and extent of execution vary from state to state. Using panel data sets from the Indian Human Development Survey (IHDS), which covering India for two waves, 200405 and 201112. We used a quasi-experimental approach, such as the difference-in-difference technique of effect evaluation, to quantify the programs influence on rural families credit and debt structures. The empirical analysis shows evidence of changing the behavior of taking loans from formal sources among non-poor households actively participating in the MGNREGA program. But the difference-in-difference results shows that among poor households participating in the MGNREGA scheme, the tendency to depend on formal sources to take loans is still insignificant. That means informal lending sources are still more prevalent among poor people. This tendency has not changed even after the initiation of this program. The article finishes with policy recommendations for successfully targeting the program, notably the social safety net benefits to disadvantaged households in India. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG. -
Impact of macroeconomic variables on the stock performance of select companies in manufacturing industry /
International Journal Of Economic Research, Vol.14(8), pp.321-328, ISSN: 0972-9380. -
Impact of macroeconomic variables on the stock performance of select companies in manufacturing industry
The efficient functioning of a stock market is influenced by different macro economic factors like Inflation, Interest rates, exchange rate etc. The favourable Macro Economic Variables both domestic economy and global economy inspire the organisations to go for strategic investment activities in domestic and global markets and reflect positively on the company financial performance and firms fundamentals like Revenues, Operating margins, Earnings Per Share, the Economic Value , Market value, and the Firms overall Value. These positive indicators in the fundamentals of the firms send positive signals into stock markets and generate positive perceptions about the company's stock prices in the market. Markets become so attractive to domestic and foreign investors which drive the share price of different companies , specially Blue chips upwards and creates value to the shareholders .According to the study organized the impact of macro economic variables is not uniform and the impact varies betweem various macro economic variables on the stock market performance. Serials Publications Pvt. Ltd. -
Impact of macroeconomic variables on the prices of gold /
Journal of Emerging Technologies And Innovative, Vol.6, Issue 2, pp.569-576, ISSN No: 2349-5162. -
Impact of Macroeconomic Uncertainty on Stock Market Return Volatility in India : Evidence from Vector Autoregressive (VAR) Analysis
Pacific Business Review International Vol. 5, Issue 4, pp. 50-62, ISSN No. 0974-438X -
Impact of Machine Learning Algorithms in Intrusion Detection Systems for Internet of Things
The importance of security aspects is increased recently due to the enormous usage of IoT devices. Securing the system from all sorts of vulnerabilities is inevitable to use IoT applications. Intrusion detection systems are power mechanism which provides this service. The introduction of artificial intelligence into intrusion detection systems can further enhance its power. This paper is an attempt to understand the impact of machine learning algorithms in attack detection. Using the UNSW-NB 15 dataset, the impact of different machine learning algorithms is assessed. 2021 IEEE. -
Impact of Machine Intelligence on Clinical Disease Outbreak Prediction
This research paper examines the utilization of Artificial Intelligence (AI) in disease outbreak prediction and its importance in public health. It explores the hurdles associated with predicting disease outbreaks, including data quality and accessibility, ethical considerations, algorithmic bias, and integration and interpretability challenges. The paper presents an overview of AI techniques applied in healthcare and their relevance to forecasting disease outbreaks. Case studies demonstrate the efficacy of AI -based models in predicting infectious diseases, vector-borne diseases, and epidemics/pandemics, employing diverse data sources. The limitations and future prospects of AI in disease outbreak prediction are addressed, accompanied by recommendations for enhancement. In conclusion, the paper highlights AI's potential to revolutionize disease outbreak prediction, leading to proactive public health interventions and improved response strategies. 2023 IEEE. -
Impact of Lysinibacillus macroides, a potential plant growth promoting rhizobacteria on growth, yield and nutritional value of tomato plant (Solanum lycopersicum L. F1 hybrid Sachriya)
Plant growth promoting bacteria enhance the growth in plants by solubilizing insoluble minerals, producing phytohormones and by secreting enzymes that resist pathogen attack. The present study was aimed at identifying the potential of Lysinibacillus macroides isolated from pea plant possessing rich microbial rhizobiome diversity in promoting the growth of tomato plant (Solanum lycopersicum L.). Potential of L. macroides in the promotion of S. lycopersicum L. growth by increased shoot length, terminal leaf length and breadth was assessed. Anatomical sectioning of stem and root revealed no varied cellular pattern indicating that the supplemented bioculture is not toxic to S. lycopersicum. Plantlets treated with L. macroides along with organic compost showed an increased total phenol content (17.580.4 mg/gm) compared to control samples (12.440.41 mg/g). Carbohydrate content was noticed to be around 1.3 folds higher in the L. macroides plus compost mixture supplemented slots compared to control sample. Significant increase in shoot length was evident in the L. macroides plus compost supplied slots (23.42.7 cm). Plant growth promoting properties might be due to the nitrogen fixing activity of the bacteria which enrich the soil composition along with the nutrients supplied by the organic compost. Rich microbial rhizobiome diversity in pea plant and the usage of L. macroides from a non-conventional source improves the diversity of the available PGPR for agricultural practices. Further research is needed to detect the mechanism of growth promotion and to explore the plant microbe interaction pathway. Jyolsna et al. (2021). -
Impact of lockdown during COVID-19 pandemic on the learning status of undergraduate and postgraduate students of Bangalore
Background: The COVID 19 pandemic has created various impacts on every human's life. COVID 19 lockdown has provoked enormous changes in the education sector which in turn influences the student's life in many aspects. The scope of this study is to understand the impact in both undergraduate and postgraduate students. Aim: This study aims at incisively analyzing the impact of lockdown imposed due to the COVID-19 pandemic on graduate students of Bangalore. Method: It is an online survey that encompasses a structural questionnaire with open-ended questions created using Google Forms, which were sent across the students through social media platforms. Results: A total of 115 students from both undergraduate and postgraduate programs have participated in this survey. Simple percentage distribution was estimated to evaluate the pedagogy, opinion on educational decisions, modes of learning, socio-economic conditions, and problems pertaining to academia because of this pandemic. As per this analysis, 80.9% of students faced difficulty due to lockdown. 67% of students thought that their family's income will be affected by this pandemic. 68.7% of students felt stressed, depressed and 52.3% of students could not find a suitable environment in their home to study during this lockdown. When we see this pandemic in an optimistic light, it has created various opportunities such as Digital learning and adoption of new health habits. 2021. RIGEO. All Rights Reserved. -
Impact of Livelihood Strategies on the Dependence on Agriculture in Arid Regions of Andhra Pradesh, India
The livelihood risks tend to change households capital, assets, or resources by impacting the value of their asset portfolio. This study attempts to understand various risks and how these risks affect the farming communitys livelihoods in the designated areas. Also, this research attempts to understand the relationships between risks and livelihood capital to develop effective measures to improve their well-being and suggest various policies to help farmers cope with these risks in the most effective ways. The study used a sample of 827 farmers from Andhra Pradesh, India. The ordinal logistic regression findings revealed that knowledge capital (knowledge on nutrient deficiency, disease and pests and access to information), social capital (community membership and access to natural resources and services) and financial capitals have a significant impact on the selection of livelihood strategies. 2022 Management Development Institute. -
Impact of Life Skills Education on Self-Esteem among Adolescents in Childrens Home
The aim of the current study was to assess the impact of life skills education on self-esteem among adolescents in Childrens Home. The design was experimental and used a pre-test/ post-test design with a control group. Sixty adolescents (30 males and 30 females) from Childrens Home comprised the experimental group (N=30) and control group (N= 30) who were selected from Childrens Homes in Kannur district, Kerala. A life skills education programme was prepared and included sessions towards improving self-esteem among adolescents in the age group 13-15 years. The Rosenbergs Self-Esteem Scale (1965) was administered before and after the life skills education programme to the adolescents. The results indicate that there was a significant difference between the experimental and control group in their self-esteem after life skills education programme including gender differences. The implication of the study reiterates that the inclusion of life skills as part of the curriculum for adolescents residing in Childrens Home plays a role in enhancing self- esteem. Key Words: Self-Esteem, Adolescent, Childrens Home, Life Skills Education -
Impact of Leverage on Valuation of Non-Financial Firms in India under Profitabilitys Moderating Effect: Evidence in Scenarios Applying Quantile Regression
The firms valuation (FV) is the key element for all stakeholders, particularly the investors, for their investment decisions. The main impetus of this research is to estimate the effects of the debt ratio (DR, i.e., leverage) on the FV (i.e., assets and market capitalisation) of the non-financial firms listed in India. The quantile panel data regression (QPDR) on the secondary data of 76 non-financial BSE-100 listed firms in India is employed. This study also checks the effect of the net profit margin (NPM) as profitability on the association between DR and FV. The QPDR estimates result in multiple quantiles and provide evidence in scenarios. The findings reveal a positive relationship of DR to assets only in higher quantiles, i.e., 90%ile), and a negative association of DR is found with a market capitalisation in all quantiles. Under the interaction effect, profitability (NPM) does not affect the association of DR with assets but negatively affects the association of debt ratio with market capitalisation in the middle (50%) quantile. The findings indicate that leverage (DR) affects a firms value. The studys outcomes are helpful to all stakeholders, particularly investors, to realise the leverage (DR) as a critical indicator of FV before making any investment decisions. Managers should also consider lower debt ratios for better firm value. The present analysis is original and holds novelty in the form of the moderating role of the net profit margin, i.e., the profitability of the firm between DR and FV in the non-financial firm in India. To the best of our knowledge, no such studies have been performed to look for the association of the debt ratio with a firms value under the effect of profitability in different quantiles using quantile regression. 2023 by the authors. -
Impact of Learning Functions on Prediction of Stock Data in Neural Network
Digitization has made a vast impact on the modern society. Financial sector is one field where a huge revolution has been experienced because of digitization. Financial data especially time series data is being stored in the digital repositories where it can be used for prediction and analysis. One such data is a stock market data which is a time series data and is generated in a huge amount every second. The stock market data is of great importance as the proper analysis and prediction of data can transform the fate of the global market. Thus the companies and the individuals are looking forward for the development of the automated techniques that can predict stock market data accurately in a real time. In this regard, many researchers developed machine learning techniques such as use of neural network for prediction of stock data. The most common learning function used in neural network is sigmoid function. However, we found that there are many learning functions are available for building neural network. In this paper we are studying the impact of four different learning functions in estimating/predicting the stock value. From the experimental study we found that unipolar sigmoid learning function produced an accuracy of 95.65%, bipolar sigmoid produced an accuracy of 91.34%, tan hyperbolic equation produced an accuracy of 91.02%, and radial base equation produced an accuracy of 87.53%. Clearly, unipolar sigmoid function emerged as the best learning function to build stock data prediction model. The main reason behind its out-performance of unipolar sigmoid is its less complex structure and the 0 to 1 range. 2018 IEEE. -
Impact of Learnability Quotient on Employability of Students: Mediating Role of Spiritual Intelligence
This study investigates the impact of Learnability Quotient (LQ) on Employability, with a particular focus on the mediating role of Spiritual Intelligence (SI). Conducted in southern India with a cross-sectional design, the research utilizes primary data collected from educated adults through surveys. The study aims to elucidate cause-and-effect relationships between LQ and Employability and to test hypotheses regarding these variables. The findings reveal that Learnability Quotient and Employability significantly influence each other, with both being affected by age. Education also plays a crucial role in determining employability, while Spiritual Intelligence and Learnability Quotient are less influenced by educational level. The type of institution does not significantly affect these factors, although the location of the institution does impact Spiritual Intelligence and Employability. Correlation analysis shows that higher Spiritual Intelligence correlates moderately with both Learnability Quotient and Employability, while Learnability Quotient has a strong positive association with Employability. Mediation analysis uncovers a complex dynamic where, despite the positive direct effect of Learnability Quotient on Employability, its impact is diminished when mediated through Spiritual Intelligence, as indicated by a negative Variance Accounted For (VAF). Learnability Quotient is crucial for enhancing employability, while Spiritual Intelligence has a nuanced, potentially counterproductive mediation role. Further research is necessary to refine strategies for improving employability through these variables. 2024, Iquz Galaxy Publisher. All rights reserved.