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Development and effectveness of a screening measure and a computerized cognitive remediation program for children with reading and arithmetic difficulties
Reading and arithmetic skills are considered as the foundation skills necessary for educational and vocational success. Research has outlined the important role of specific cognitive functions for efficient reading, comprehension of text and arithmetic processes. Learning difficulties have been shown to have a tremendous impact on later life, both in academics and social relationships. It therefore becomes newlineimperative that we identify, as early as possible, children at risk for learning newlinedifficulties and attempt to assess the relevant cognitive skills and plan and execute intervention programs to improve the efficacy of these cognitive skills. This present study has attempted to do this, keeping the Right to Intervention (RTI) model as the rationale and has focussed on designing an assessment tool along with a remediation program based on the cognitive viewpoint.The two objectives of this research were: development of a screening measure newlinefor identification of children with reading and arithmetic difficulties and development newlineof a computer based cognitive intervention program for improving reading and newlinearithmetic skills. The research was conducted in two stages. Stage one involved the newlinecompiling of the screening measure which consisted of three domains: cognitive newlineabilities, reading comprehension and arithmetic ability. The assessment measure was administered on 1091, third, fourth and fifth grade children from English medium newlineschools in South Bangalore, following the ICSE syllabus. The data obtained was newlinesubjected to item analyses and the final screening tool - Arithmetic and Reading Test newline(ART) - was developed, which comprised of tests for reading comprehension, arithmetic ability and cognitive functions, i.e., attention and concentration, visual newlineperception, visuo-spatial ability, processing and working memory. Psychometric properties were established and the ART was found to be reliable and valid. Test-retest reliability of the ART was 0.76. -
Development and effectiveness of a screening measure and a computerized cognitive remediation program for children with reading and arithmetic difficulties
Reading and arithmetic skills are considered as the foundation skills necessary for educational and vocational success. Research has outlined the important role of specific cognitive functions for efficient reading, comprehension of text and arithmetic processes. Learning difficulties have been shown to have a tremendous impact on later life, both in academics and social relationships. It therefore becomes imperative that we identify, as early as possible, children ‘at risk’ for learning difficulties and attempt to assess the relevant cognitive skills and plan and execute intervention programs to improve the efficacy of these cognitive skills. This present study has attempted to do this, keeping the Right to Intervention (RTI) model as the rationale and has focussed on designing an assessment tool along with a remediation program based on the cognitive viewpoint. -
Efficacy of priniciple based accounting on internal governance and financial performance
The introduction of IFRS has fuelled the expectation of users of financial newlinestatements on the potential benefits of adoption. Studies have indicated the newlinebenefits of IFRS adoption such as higher comparability of financial statements among companies operating in different jurisdictions, reduces transaction costs, and access to international capital through cross border listings and greater foreign investment (Aharony, Barniv and Falk, 2010 and newlineDunne, et al. 2008). Several studies have been done to analyze the consequences of IFRS adoption on financial statement items (Lantto and Sahlstrom, 2009; Dunne et al. 2008). Most of these studies were restricted to European countries and some Australian and Canadian countries as they were the early adopters. India has planned to converge with IFRS and not adopt. Adoption means applying IFRS as issued by IASB. Convergence means India would newlineharmonize its national accounting standards in compliance with IFRS as this provides freedom to protect the local business environment. These harmonized accounting standards are notified by Ministry of Corporate Affairs and are called Ind AS. As on date 39Indian accounting standards newlineharmonized with IFRS has been notified by Ministry of Corporate Affairs newline(ICAI,2015a). A road map for convergence with IFRS was notified by Ministry of newlineCorporate Affairs in a phased manner effective April 2011 (MCA, 2010). newlineAs the deadline was not met due to various reasons, a revised notification newlineand implementation roadmap has been issued by MCA in Feb, 2015 recommending Indian Companies with a net worth of over Rs. 500 Crore to converge with IFRS with effect from 1st April 2016 (ICAI, 2014; MCA,2015). newlineThe Finance Minister had also in his budget speech of 2014-15, indicated that Indian companies have to report IFRS voluntarily from 2015-16 and mandatorily from 2016-17 to make financial statement of Indian Companies newlinecomparable to 120 countries which are already reporting and also to fulfill the commitment made to G20 nations. -
An Empirical Analysis of Factors and Variables Influencing Internet Banking among Bangalore Customers
International Journal of Research in Computer Application & Management, Vol. 2, Issue 10, pp. 143-148, ISSN No. 2231-1009 -
Exploring the effect of Covid-19 on herding in Asian financial markets
We examine herding behavior before, during, and after the Covid-19 pandemic in eight prominent Asian stock markets. Daily stock returns for the period Jan- 2018 to July- 2022 in the markets were investigated using the models prescribed by Chang et al., (2000) and Chiang and Zheng (2010). The empirical results provide strong support to earlier studies by providing robust evidence of herding in Vietnam, Indonesia, India, South Korea, and Singapore when the market is bullish and Indonesia and Vietnam also exhibit herding when the market is bearish. Herding tendency is dominant for Vietnam, India, and Indonesia during the pandemic with the post-pandemic time being more potent for China and Vietnam. Notably, an anti-herding tendency is found in China, Hong Kong, and Singapore. As a policy measure, efficient information dissemination, deterrence of insider trading, and regulation of mispricing can be undertaken. 2022 -
Combining Text Information and Sentiment Dictionary for Sentiment Analysis on Twitter During Covid
Presence of heterogenous huge data leads towards the 'big data' era. Technique's proliferation is rapidly increasing data and making dynamic changes that results in 'big data' world. Progressive transition in technologies and adoption of social media in the society also stepped into the 'big data' epoch. Social media popularity is uprising attention in the community. This platform reduces the communication gap among people. Recently, tweeter use increased with unprecedented rate. Presence of social media like tweeter has broken the boundaries and touches the mountain in generating the unstructured data. It opened research gate with great opportunities for analyzing data and mining 'valuable information'. Sentiment analysis is the most demanding, versatile research to know user viewpoint. Society current trend can be easily observed through social network websites. These opportunities bring challenges that leads to proliferation of tools. This research works to analyze sentiments using tweeter data using Hadoop technology. This study explores the big data arduous tool called Hadoop. Further, it explains the need of Hadoop in present scenario and role of Hadoop in storing ample of data and analyzing it. Hadoop cluster, HDFS, and Hive are also discussed in detail. Researchers enthusiastic work is deeply studied and presented here. Dataset used in performing the experiment is explained briefly. Moreover, this research explains thoroughly the implementation work and provide workflow. Next session provides the experimental results and analyzes of result. Finally, last session concludes the paper, its purpose, and how it can be used in upcoming research. 2024 IEEE. -
Critical analysis of computer application at secondary schools of Bangalore district
Computer is an electronic device that has the capacity to store,
retrieve and process both qualitative and quantitative information fast and accurately. Over the past few years the growth of the computer industry has been quiet remarkable and today it is the fastest growing industry in our economy. The use of computers is not restricted only to office desktops or laptops. We see the use of computers all around us. Computers have made our lives simple and very convenient by catering to our needs at a click of the mouse; we use computers practically for every activity in our lives. Computers are being used in most of the appliances or gazettes that we use in our day to day living, thereby making it the most important part of our lives. Education system is not an exception to the same. -
An approach to develop content based video modules /
Researchers World Journal Of Arts Science And Commerce, Vol.7, Issue 1, pp.101-104, ISSN: 2231-4172. -
Consumer response towards personalised pricing strategies in online marketing
E-tailers are now capable of customising prices for an individual buyer or a group of buyers who exhibit similar behavioural traits and perceived ability to pay. Tailoring prices based on personal information may evoke unanticipated reactions as it could infringe users privacy and hurt fair price perceptions. To investigate the potential impact of positive and negative online personalised pricing situations, this study conducted a controlled experiment to observe the changes in consumer behaviour in a personalised pricing context. Seven hundred and twenty responses were collected from thriving online-active communities in India and Malaysia, both countries with high growth of e-commerce activities. Consumers reaction towards fair price, customer loyalty, privacy concern, purchase satisfaction; and the influence of these constructs on post purchase behaviours such as repurchase intentions, revenge intentions and strategic purchase intentions were analysed using PLS SEM modelling. Results indicate online consumers in both countries have high privacy concerns, and as it increased, their repurchase intentions decreased correspondingly. Strategic purchase intentions and revenge intentions increased regardless of positive and negative purchase situations, while purchase satisfaction mediates fair price perceptions and repurchase intentions. Copyright 2021 Inderscience Enterprises Ltd. -
Nudges and choice architecture in public policy: A bibliometric analysis
In recent years, nudges and choice architecture have gained significant attention amongst researchers, particularly in the domain of public policymaking. This study contributes to the existing literature on the application of nudges and choice architecture in public policy through a bibliometric analysis. A total of 419 documents from the Web of Science database from 2010 to 2021 were analysed, identifying the most prolific authors, foundational works, and sources, along with primary research themes. The study identifies keywords and themes that shape the current research trends and visualizes the intellectual structure of empirical works. The findings show an increasing focus on this subject area over the past decade, with a growing interest in themes such as dietary habits, healthcare, effectiveness of behavioral interventions, and sustainable choices. The application of nudges and choice architecture in policies related to health, food consumption, and diet management has also become increasingly prevalent as evidenced by the exponential growth in publications on these topics. 2023 Elsevier Inc. -
From a recession to the COVID-19 pandemic: Inflation-unemployment comparison between the UK and India
The recession in India and the UK peaked in 2017 due to the implications of new policy initiatives. The outbreak of the COVID-19 pandemic at the beginning of 2020 intensified the crisis, causing a drastic decline in aggregate demand and output. India and the UK have resorted to monetary and fiscal stimulus packages to face the economic crisis. This study investigated the inflation-unemployment dynamics during the recession and COVID-19 times in India and the UK. Using a generalized additive model (GAM), the results of this study revealed that the recession had given way to stagflation in India. In contrast, in the UK, it has led to a more severe recession in the short-run. During the downturn, policy initiatives aggravate the recession and eventually turn to stagflation in India due to inflation caused by the weak supply side. However, in the UK, the policy initiatives during this downturn pushed the economy into a deeper recession due to reduced demand. The outbreak of the COVID-19 pandemic has had a similar recessionary impact on both economies. A time horizon based recovery plan is suggested to help the economies recover from stagflation and even deeper recession. This framework could enable policymakers to choose the right path of recovery within the shortest possible time. 2021 by the author. Licensee MDPI, Basel, Switzerland. -
Investigating the Dynamic Interlinkages between Exchange Rates and the NSE NIFTY Index
This study aims at examining the short-run and long-run dynamic linkages among exchange rates and stock market index in India through a structured cointegration and Granger causality tests. Daily exchange rates of USD, EUR, CNY, JPY, and GBP to INR along with the daily movement of NSE NIFTY for a period spanning 13 years from 6 September 2005 to 31 December 2018 were used for the analysis. The results reveal that there is no evidence for a stable long-run relationship between NSE NIFTY and the exchange rates under study. However, the VAR-based Granger causality test shows that USD, JPY, and CNY have short-run causal relationship with NSE NIFTY. The NSE NIFTY also seemed to have an influence on USD expressed in terms of Indian rupee. The impulse response analysis further supports the results of the Granger causality test and provides information on the time required for the NSE NIFTY index to recover from a shock caused by the fluctuation in exchange rates. 2021 by the authors. -
Teacher-Trainess Attitude Towards ICT
Journal of Education and Practice, Vol-4 (19), pp. 18-21. ISSN-2222-1735 -
Security analysis in multi-tenant cloud computing healthcare system
Cloud Computing is an innovation in the field of Information Technology and in healthcare system because of the deployment models which services as profitability for the tenants. Cloud Computing is cost-effective, flexible and a delivery platform which provides business and services over internet. Multi-tenancy with its hardware sharing and high degree of configurability is utilized in cloud computing health care system even though many health care organizations are unwilling to adapt due to infrastructure and security shortcoming. In order to store the sensitive health care data cloud service providers should include promising security features where both the trusted and untrusted parties should be addressed in it. This paper addresses the security requirements and security issues in multi-tenant healthcare system, a frame is proposed for analyzing the security issues based on the available requirements and possible counter measures been suggested. The security concerns are analyzed by trust, confidentiality, integrity, audit and compliances and furthermore insight for the security is provided in multi cloud with possible security recommended for healthcare system. IAEME Publication. -
Cryptography: Advances in Secure Communication and Data Protection
In the innovative work secure communication and data protection are being main field, which are emerged by cryptography as a fundamental pillar. Strong cryptographic methods are now essential given the rising reliance on digital technologies and the threats posed by bad actors. This abstract examines the evolution of secure communication protocols and data protection techniques as it relates to the advancements in cryptography. The development of post-quantum cryptography is the most notable development in cryptography discussed in this study. As quantum computers become more powerful, they pose a serious threat to traditional cryptographic algorithms, such as RSA and ECC. Designing algorithms that are immune to attacks from quantum computers is the goal of post-quantum cryptography. Lattice-based, code-based, and multivariate-based cryptography are only a few of the methods that have been investigated in this context. 2023 EDP Sciences. All rights reserved. -
Impact of the Pandemic on Entrepreneurial Ecosystems
Entrepreneurship is crucial for the global economy, as it helps ideas develop from the drawing board to an executable stage. An excellent economic state of a country is the outcome of a well-designed system where the stakeholders interact with each other towards innovation and social development. This study is an empirical investigation into the COVID pandemic and its effects on the Indian entrepreneurial eco-system. Primary data was collected from 155 entrepreneurs of India, who were independent and first movers of entrepreneurs in their family during COVID times. Poor planning, exhausting resources, a slowdown in productivity, lower employment, and employee retention were the after-effects of the pandemic. It was found that the pandemic negatively affected the entrepreneurial ecosystem and its stakeholders. However, constant support by the government and well-designed policy measures would help assist existing businesses affected due to COVID-19 and encourage the entrepreneurial future in India. Copyright 2022, IGI Global. -
Optimized Multi-Scale Attention Convolutional Neural Network for Micro-Grid Energy Management System Employing in Internet of Things
The combination of micro-grid energy management systems (EMSs) with the Internet of Things (IoT) offers a promising way to improve energy use and distribution. However, challenges such as device compatibility and the difficulty of managing energy efficiently make it hard to implement these systems effectively. This study offers a significant advancement in energy management by using IoT for microgrid systems. An Optimized Multi-scale Attention Convolutional Neural Network for microgrid EMS employing IoT (OMACNN-MGEMS-IoT) is proposed in this study, which enables efficient monitoring and control of energy resources. The proposed model's input data are gathered from the MQTT dataset. This research employs a Regularized Bias-aware Ensemble Kalman Filter (RBAEKF) for pre-processing input data, ensuring the removal of outliers and updating missing values. The MACNN is then used for effective fault detection within the microgrid. To enhance its performance, the Sheep Flock Optimization Algorithm (SFOA) is introduced to optimize the MACNN parameters, ensuring accurate fault detection. Implemented on the MATLAB platform, the performance of the OMACNN-MGEMS-IoT method is assessed through various performance metrics, demonstrating significant improvements. Notably, the proposed method achieves higher cost reductions of 25%, 22%, and 26% compared to existing approaches such as the IoT platform for energy management in multi-micro grid systems (IoT-PEM-MMS), a micro-grid system infrastructure implementing IoT for efficient energy management in buildings (MSII-IoT-EEM) and a hybrid deep learning-based online energy management scheme for industrial microgrids (HDL-OEM-IM). The findings highlight the impact of the proposed OMACNN-MGEMS-IoT method in enhancing energy efficiency and cost-effectiveness in microgrid systems. 2025 John Wiley & Sons Ltd. -
Edge Computing in Aerial Imaging A Research Perspective
Internet of Drones (IoD) is a field that has a vast scope for improvement due to its high adaptability and complex problem statements. Aerial vehicles have been employed in various applications such as rescue operations, agriculture, crop productivity analysis, disaster management, etc. As computing and storage power have increased, satellite imaging and drone imaging have become possible, with vast datasets available for study and experiments. The recent work lies in the edge computing sector, where the captured aerial images are processed at the edge. Our paper focuses on the algorithms and technologies that easily facilitate aerial image processing. The applications and their architectures are focused on which can efficiently function using aerial processing. The various research perspectives in aerial imaging are concentrated on paving the way for further research. 2024 Scrivener Publishing LLC. All rights reserved.