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Smart Portable Neonatal Intensive Care for Rural Regions
Every year, an increasingly large number of neonatal deaths occur in India. Premature birth and asphyxia are being two of the leading causes of these neonatal deaths. A well-regulated thermal environment is critical for neonatal survival. In the current scenario, it is impossible for the health centers in the rural areas of India to afford a neonatal incubator for every newborn due to its price and transportability. The successful delivery of neonates is hampered in India due to its increasing population along with limited technology and resources. Thus, a prototype of an incubator has been designed that is affordable, transportable, and energy saving for the health centers in the rural regions, with an AI-based decision support system. Springer Nature Singapore Pte Ltd 2020. -
Light-induced advanced oxidation processes as pfas remediation methods: A review
PFAS substances, which have been under investigation in recent years, are certainly some of the most critical emerging contaminants. Their presence in drinking water, correlated with diseases, is consistently being confirmed by scientific studies in the academic and health sectors. With the aim of developing new technologies to mitigate the water contamination problem, research activity based on advanced oxidation processes for PFAS dealkylation and subsequent mineralization is active. While UV radiation could be directly employed for decontamination, there are nevertheless considerable problems regarding its use, even from a large-scale perspective. In contrast, the use of cheap, robust, and green photocatalytic materials active under near UV-visible radiation shows interesting prospects. In this paper we take stock of the health problems related to PFAS, and then provide an update on strategies based on the use of photocatalysts and the latest findings regarding reaction mechanisms. Finally, we detail some brief considerations in relation to the economic aspects of possible solutions. 2021 by the authors. Licensee MDPI, Basel, Switzerland. -
Relationship between financial inclusion and financial development in India: Is there any link?
A dynamic chain of financial activities and services can be served from debtors to creditors in the international economy through an efficient and effective financial sector. The motivation behind this study is to investigate the linkages between financial inclusion and financial development in India during the period (19802017). For this, the study employ principal component analysis (PCA) to construct both financial inclusion index and financial development index which measures financial access and financial depth position respectively. Using a set of determinants related to financial inclusion and financial development, the present study estimates there is a unidirectional relationship between financial inclusion and financial development in India. So, it reveals that financial inclusion is an essential element for financial sector development especially in a developing country like India. 2021 John Wiley & Sons Ltd. -
Cybersecurity Disclosure and Corporate Reputation: Rising Popularity of Cybersecurity in the Business World
This chapter emphasizes the importance of cybersecurity for a corporation as todays organizations are more vulnerable than ever and their enemies are in the form of viruses and malware. The work provides evidence that cybersecurity can have an impact on brand value, market value, and overall corporate reputation. It focuses on depicting the global scenario with reference to cybersecurity disclosures by corporations and how it is important in todays digitized era where data is the most valuable and vulnerable asset. With rapid digitalization, cybersecurity has become a major concern for all businesses, especially when there is financial and reputational damage to cybersecurity breaches and incidents. Even in the absence of clear cybersecurity laws and regulations, corporations are opting for voluntary disclosure. Existing literature explains this as an attempt to mitigate any potential risk or occurred risk through increased transparency which will build the trust of all stakeholders. 2023 by IGI Global. All rights reserved. -
Secure medical sensor monitoring framework using novel optimal encryption algorithm driven by Internet of Things
Recently, healthcare monitoring systems have emerged as significant tolls for constant monitoring of patient's physiological characteristics. These systems use implanted sensors. IoT (Internet of Things) have revolutionized healthcare systems where health care equipment's are equipped with many sensors that actively collect data from patients and pass it on to cloud based storages using gateway sensors. Securing data have been significant barriers in many applications as false information get injected, or important information are modified or stolen at different phases of health care systems dependent on IoT. The attacks can also result in fatalities making it imperative to secure IoT based health care systems. A Hybrid technique combining MOAES (Modified Optimal Advanced Encryption Standard) with CM (Chaotic Map) Encryptions called HMOAES-CM technique is proposed. This technique can be helpful in securely accessing the patient data over online mode, and in addition, the data sharing can be performed in an encrypted form for the necessary targets of stakeholders. The proposed authentication approach is aimed at IoT, which is resilient to all kinds of network attacks and its implementation is also simpler. Comparing the suggested work to similar works, the level of evaluation is much improved. 2023 The Authors -
Data Analysis on Hypothyroid Profiles using Machine Learning Algorithms
Machine learning algorithms enable computers to learn from data and continuously enhance performance without explicit programming. Machine learning algorithms have significantly improved the accuracy and efficacy of thyroid diagnosis. This study identified and analysed the usefulness of several machine-learning algorithms in predicting hypothyroid profiles. The main goal of this study was to see the extent to which the algorithms adequately assessed whether a patient had hypothyroidism. Age, sex, health, pregnancy, and other factors are among the many factors considered. Extreme Gradient Boosting Classifier, Logistic Regression, Random Forest, Long-Term Memory, and K-Nearest Neighbors are some of the machine learning methods used. For this work, two datasets were used and analysed. Data on hypothyroidism was gathered via DataHub and Kaggle. These algorithms were applied to the collected data based on metrics such as Precision, Accuracy, F1 score and Recall. The findings showed that the Extreme Gradient Boosting classification method outperformed the others regarding F1 score, accuracy, precision, and recall. The research demonstrated how machine learning algorithms might predict thyroid profiles and identify thyroid-related illnesses. 2023 IEEE. -
Role of Humanoid Robots in Enhancing Communication and Social Skills among Students with Mild Autism
Introduction Children with Autism Spectrum Disorder (ASD) face challenges in social newlineinteraction. This is a growing concern and needs a due redressal for their wellbeing. Failing to address these challenges can cause further isolation resulting in displaying antisocial behaviours. Children with Autism require the intervention of technology. Over the years, special schools have been using newlineAssistive Technologies (AT) that bridge the gap in learning for students with newlinedisabilities in general and Autism in particular. As a result of this initiation newlineearlier studies have deciphered that the end result of drawing AT into teaching and learning have been promising and optimistic. Available literature has shed light on the positive impact of emerging and assistive technologies on the learning of students with disabilities. However, the use of emerging newlinetechnologies by special tutors to build vital skills amongst children with autism has not been sufficiently explored. The lack of adequate exploration in the aforementioned domain paves the way for this research in particular. Objectives This study aims to explore the benefits of using humanoid robots which is an emerging technology in recent years with specific reference to inclusive newlineclassroom setup. Inclusive classrooms use humanoid robots to develop social and- communication skills amongst students with mild autism. This study sheds light by using both qualitative and quantitative methods and identify whether robots can effectively address children s social and communication skills which contributes to children s speech and behavioural development. Methods As mentioned above this research has been undertaken with a qualitative research design a combination of tools to explore how humanoid robots enable in the development of social and- communication skills amongst students with mild autism. The researcher has conducted semi-structured interviews newlinewith special tutors and counsellors to gain insights into the positive benefits of newlinechild - robot interaction. -
3D CNN-Based Classification of Severity in COVID-19 Using CT Images
With the pandemic worldwide due to COVID-19, several detections and diagnostic methods have been in place. One of the standard modes of detection is computed tomography imaging. With the availability of computing resources and powerful GPUs, the analyses of extensive image data have been possible. Our proposed work initially deals with the classification of CT images as normal and infected images, and later, from the infected data, the images are classified based on their severity. The proposed work uses a 3D convolution neural network model to extract all the relevant features from the CT scan images. The results are also compared with the existing state-of-the-art algorithms. The proposed work is evaluated in accuracy, precision, recall, kappa value, and Intersection over Union. The model achieved an overall accuracy of 94.234% and a kappa value of 0.894. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Kubernetes for Fog Computing - Limitations and Research Scope
With the advances in communications, Internet of Everything has become the order of the day. Every application and its services are connected to the internet and the latency aware applications are greatly dependent on Fog Infrastructure with the cloud as a backbone. With these technologies, orchestration plays an important role in coordinating the services of an application. With multiple services contributing to a single application, the services may be deployed distributed in multiple server. Proper coordination with effective communication between the modules can improve the performance of the application. This paper deals with the need for orchestration, challenges, and tools with respect to edge/fog computing. Our proposed research solution in the area of intelligent pod scheduling is highlighted with the possible areas of research in Microservices for Fog infrastructure. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Problem-Based Learning for Critical Reflections on Skill-based Courses Using DEAL Model
Higher education institutions focus on i mpr ovi ng bot h sof t ski l l s and engi neer i ng proficiencies among students. The learning progress requires a systematic assessment to know the areas of improvement to meet global competitiveness. Self-reflections and critical reflections on knowledge, skill, and behavior are crucial for an industry-ready graduate. Our work deals with conceptualization, course design, and rubrics design to achieve critical reflections on the graduate outcomes of the students. We have designed the rubrics to assess the behavioral and engineering skills needed to solve complex engineering problems that can be solved better as a team for life-long learning and developing ethical interpersonal skills. Our assessment patterns also helped students achieve higher-order thinking skills through experiential learning. 2024, Rajarambapu Institute Of Technology. All rights reserved. -
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Service delivery quality improvement models: A review /
Procedia Social Science And Behavioral Sciences, Vol.144, pp.510-527, ISSN No: 1877-0428. -
Biomimicry : An approach to sustainable architecture and design /
International Journal of Life Sciences Research, Vol.7, Issue 1, pp.318-323, ISSN No: 2348-3148. -
Applying talent acquisition to the test: Assessing productivity in facilities organization /
Pramana Research Journal, Vol.9, Issue 2, pp.197-207, ISSN No: 2249-2976. -
Sustainable Corporate Social Responsibility - An Analysis of 50 Definitions for a Period of 2000-2011
Zenith International Journal of Multidisciplinary Research Vol. 2, Issue 10, pp. 169-193, ISSN No. 2231-5780 -
Making a Difference: Social Responsibilities of Infosys
International Journal of Management, IT and Engineering Vol. 2, Issue 10, pp 336-350, ISSN No. 2249-0558 -
Prospects of CSR: An Overview of 500 Indian Companies
The IUP Journal of Corporate Governance, ISSN No. 0972-6853 -
ACCIDENT PREVENTION AND MANAGEMENT SYSTEM IN URBAN VANETS FOR IMPROVING SLIPPERY ROADS RIDE AFTER RAIN
Urban Vehicular Ad-hoc Networks (VANETs) face challenges in managing accidents and enhancing safety, particularly on slippery roads post rainfall. This study addresses this issue by proposing an Accident Prevention and Management System tailored for improving ride safety in such conditions. The problem statement identifies the increased risk of accidents and decreased road grip due to rain-induced slippery surfaces in urban areas. The proposed method integrates real-time data collection from vehicles and road infrastructure to predict and detect slippery road segments. Utilising this information, the system dynamically disseminates warnings to nearby vehicles, enabling them to adapt their driving behaviour and avoid potential accidents. The flow of the proposed system involves a multi-step process: (1) Real-time data collection using sensors installed in vehicles and roadside infrastructure, (2) Data analysis and prediction algorithms to identify slippery road segments, (3) Communication protocols for disseminating warnings to vehicles in the neighbourhood, and (4) Driver assistance mechanisms to aid in adapting to the road conditions. Results from simulations and real-world experiments demonstrate the efficacy of the system in significantly reducing the likelihood of accidents on slippery roads after rainfall. By leveraging VANET technology and real-time data analysis, this system enhances safety by providing timely warnings and promoting safer driving practices, ultimately mitigating the risks associated with adverse weather conditions in urban environments. 2024, Scibulcom Ltd.. All rights reserved. -
Need of integrated care model for positive childbirth experience in Indian maternity care services
BACKGROUND: Integrated care (IC) models are an emerging trend in healthcare reforms worldwide, especially in the maternal healthcare system. This research focuses on the scope of an integrated model for intrapartum care of women and explores the experience of birth under two intrapartum care modelsbiomedical and midwifery models, respectively. The term positive childbirth experience (PCE) is a concept defined by the World Health Organization (WHO) in the recommendations on intrapartum care for a PCE. MATERIALS AND METHOD: This study is convinced to employ a qualitative approach to explore how birth is experienced by women under maternity healthcare services in Kerala. A semi?structured interview was conducted to tap into the lived reality of birthing of sixteen first?time mothers (primipara) aged between 20 and 30 years under these two models. Furthermore, five participants have been specifically interviewed after their vaginal birth after a C?section (VBAC) experience. To achieve a systematic cross?case thematic analysis, systematic text condensation (STC) has been employed as a data analysis method. RESULTS: Four main categories were identified through the analysis as follows: (1) information and knowledge, (2) confidence, (3) quality of care, and (4) health?promoting perspective. These central themes evolved from 11 subthemes. CONCLUSION: The data analysis reveals both negative and positive experiences under two care models. It emphasizes the urgent need to reframe the biomedical?focused care model and adopt an integrated approach that aligns with the global intrapartum care model proposed by the World Health Organization (WHO) in 2018 and the definition of IC mentioned in the paper. 2024 Journal of Education and Health Promotion. -
Implementation of digital signature using hybrid cryptosystem
Security is a major concern when it comes to electronic data transfer. Digital signature uses hash function and asymmetric algorithms to uniquely identify the sender of the data and it also ensures integrity of the data transferred. Hybrid encryption uses both symmetric and asymmetric cryptography to enhance the security of the data. Digital Signature is used to identify the owner of the document but it does not hide the information while transferring the document. Anyone can read the message. To avoid this, data sent along with the signature should be secured. In this paper, Digital signature is combined with hybrid encryption to enhance the security level. Security of the data or the document sent is achieved by using hybrid encryption technique along with digital signature. 2018 Authors.