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Empowering women living with HIV/AIDS-A study on organisational strategies and challenges
The acts of discrimination & exclusion meted out to the people living with HIV/AIDS, and the stigma attached to the condition deprives the afflicted, of their capacity to exercise their fundamental rights and to access basic necessities. Specifically, the suffering of the women stricken by this chronic, incurable malady, the majority of whom from economically weaker sections of our society is very poignant. From the time this pandemic broke out in 1984, world organisations, national and local organisations, both government and non-government have come to the aid of the PLWHA. Some of them cater singularly to the needs of the WLWHA, who are as such more vulnerable ever since the plight of the women living with the deadly disease was brought to light. But as the years went by, there has been a decline in the help extended to the WLWHA. This study is undertaken to ascertain the current state of services and strategies used by the organisations to empower the WLWHA and the challenges faced by the organisations in their endeavours. -
Study of linear and non-linear analyses of Rayleigh-Benard-Chandrasekhar convecion in micropolar fluid with saturated porous medium
Thermal instability of Chandrasekhar convection in a micropolar fluid, saturated porous layer is being investigated in this study. The model is confined between two horizontal plates of infinite length and separated by a fixed distance. A uniform temperature gradient is provided at the lower plate, while the upper plate is cooled. The study is analysed for both linear as well as non-linear cases to understand the stability, transfer of heat and mass within the model. The study is carried out in extending the model for Rayleigh-Benard and double diffusive convection with external constraints such as in- ´
ternal heat, concentration source, gravity modulation, temperature modulation, coupled cross diffusion and throughflow. The outcome of the study is discussed in detail and presented pictorially through graphs. -
Organizational sustainability:A study of corporate organizations in the Indian context
Creating and Sustaining an Organization is an all time challenge. The primary research question is mainly of an explorative nature, seeking to comprehend how the Corporate Organization, meaning Multi National Corporations, Public Sector Undertakings and other Private Organizations. The findings of the study facilitate recommendations to the various organizations to improve the managerial practice and guide them to the ways of sustainability. The aim of the study is to examine the different stages of development of various organizations that best describes the organization and strategy of the organization in sustaining the organization. -
Performance of diesel engine enhanced by employing 150µM to 170µM thick plasma sprayed 8YSZ nano grained coating on piston head /
Patent Number: 202241033004, Applicant: S Gowtham Sanjai.
This invention discloses the favorable influence of nano ceramic coated components on the performance of diesel engines. 150 microns thick yttria stabilized zirconia coatings, with nano grained microstructure, when applied by using Atmospheric Plasma Spray (APS) coating technique, on the piston crown of a 5HP, single cylinder diesel engine, reduces the brake specific fuel consumption (BSFC) of the engine by ~ 20%. The improvement in performance has been established by comparing the performances (measuring the BSFC) of the engine when mounted with (a) OEM Piston and thereafter (b) coated piston. -
Synthesis of spray dried nano 8YSZ plasma sprayable powder and plasma sprayed thermal barrier coatings with nano grained microstructure /
Patent Number: 202241011004, Applicant: S. Gowtham Sanjay.
Plasma sprayed 8% yttria stabilized zirconia, i.e. 8Y203-Zr02(8YSZ) coatings with nano grained microstructure are expected to possess superior thermal barrier properties when compared with the coating of same composition but with large micron sized grains in its microstructure. 8YSZ nano powders were spray dried to be converted into easily flowing micron sized (>20 and <100u) plasma sprayable powders. The powders were plasma spray coated on stainless steel (SSL 304) and Aluminium-silicon (Al-Si) alloy substrates. -
System and method for optimal selection for hyperspectral imagery classification using adaptive spectral–spactial clustering /
Patent Number: 2021101584, Applicant: Chidambaram S. -
Soft computing techniques for hub sequence analysis /
Bioinformatics, the combination of Biology and Information Technology has become a pioneer industry booming worldwide. One of the grand challenges in biology is to understand organizing principles of bimolecular networks. There seems to be a deliberate effort towards uncovering new laws of biological complexity. One of the most pressing needs in this area is the understanding of protein-protein interaction networks and their complexity. Hub proteins- network elements with high connectivity- literally ??hold the networks together. Though several experimental methods have been developed to identify hub proteins, it is important to supplement procedures for pattern recognition to classify/predict hub protein sequences. This research work aims at the classification and prediction of hub proteins of two model organisms- Homo sapiens and Escherichia coli using different computational approaches of pattern recognition such as Principal Component Analysis (PCA), Artificial Neural Network (ANN) and Linear Discriminant Analysis using (i) Class Dependent Approach (LDACD), (ii) Class Independent Approach (LDACIND), and (iii) Normal Bayes Classification (LDANB). -
Recent advances in electrochemical and optical sensing of the organophosphate chlorpyrifos: A review /
Critical Reviews in Toxicology, Vol.52, Issue 6, ISSN No: 1040-8444.
Chlorpyrifos (CP) is one of the most popular organophosphorus pesticides that is commonly used in agricultural and nonagricultural environments to combat pests. However, several concerns regarding contamination due to the unmitigated use of chlorpyrifos have come up over recent years. This has popularized research on various techniques for chlorpyrifos detection. Since conventional methods do not enable smooth detection, the recent trends of chlorpyrifos detection have shifted toward electrochemical and optical sensing techniques that offer higher sensitivity and selectivity. -
A critical look on transformation on text into visuals - Martin scorsese's wolf of wall street /
Adaptations of texts to movies have always been a genre of their own in the world of cinema, where there have been many adaptations of which a few are successful while some have failed to convince the audience. This particular paper talks about how Martin Scorsese has adopted the art of making biographies where he has chosen his story lines from existing texts on biographies and his ability to make these biographies on personalities who are still alive. -
Economic impact of micro loans on the rural women through self help group-bank linkage programme(SBLP) /
Zenith International Journal Of Business Economics And Management Research, Vol.6, Issue 2, pp.98-112, ISSN: 2249-8826. -
DETERMINANTS OF ORGANISATIONAL CITIZENSHIP BEHAVIOUR OF EMPLOYEES IN BUSINESS PROCESS OUTSOURCING SECTOR
Organizational Citizenship Behaviour is defined as the voluntary behaviour in which employees go beyond what is formally expected of them to contribute to the well being of the organisation and people involved in it. The present study investigated whether Big five Personality Traits and Psychological Contract have significant influence on Organisational Citizenship Behaviour of employees in Business Process Outsourcing Sector. Convenience sampling was adopted to administer the questionnaire (questionnaires were administered to the target sample from the business process outsourcing companies that gave permission, and through the online). Judgmental sampling method was adopted for deciding whom to administer the questionnaire. Employees must have worked for minimum 2 years in the present company to complete the questionnaire. 500 questionnaires were distributed and 381 fully completed questionnaires were compiled for analysis (76.2% response rate). In the present study the dimensions of Big Five Personality Traits ?? Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness to Change, the Psychological Contract Variables - Relational Contract, Transactional Contract, Employer Commitment, and Employee Commitment, and the dimensions of Organisational Citizenship Behaviour- Altruism, Conscientiousness, Courtesy, Civic Virtue and Sportsmanship were measured on 381 employees of top 10 BPO companies listed by NASSCOM . The result of the present study indicated that extraversion dimension of Big Five Personality Traits had a significant influence on Organisational Citizenship Behaviour. Psychological Contract variables Relational Contract, Transactional Contract and Employer Commitment had a significant influence on Organisational Citizenship Behaviour. In this study we have analyzed the implications based on the results found. Some of the implications of the study were the BPO employees high on extraversion, may display more citizenship behaviours towards the organisation. The employees who scored high on the psychological contract measures may result in exhibiting voluntary behaviour towards the organisation. It is suggested for the future researchers to replicate the study to determine how the findings reported here correspond to the results of studies conducted in other work environments to ensure proper generalization. Future researches also need to consider the moderating influences of person and situation-based factors on the relationship between Big Five personality Traits, Psychological Contract and OCB. Additionally, researcher may consider the respondents position in future studies as findings. A dyadic response from both the managers and employees can be a better study to avoid bias and self rating. Key words: Organisational Behaviour, Big Five, Psychological Contract, Organisational Citizenship Behaviour, Human Resource Management. -
Mapping of groundwater availability in dry areas of rural and urban regions in India using IOT assisted deep learning classification model
Groundwater is a crucial resource for fulfilling the water requirements of India's rural and urban areas. The heterogeneous nature of geological, hydrological, and climatic factors results in substantial variability in the accessibility of groundwater across disparate regions. The present investigation centers on the cartography of groundwater accessibility in arid zones of rural and urban Indian areas using a Deep Learning Classification Model (DL-GWCM) supported by the Internet of Things (IoT). The introductory section underscores the importance of groundwater in India, where groundwater sources cater to around 80% of rural and 50% of urban water demands. The text highlights statistical data derived from surveys that indicate a notable decrease in groundwater levels. This underscores the pressing necessity for implementing effective monitoring and management strategies. The DL-GWCM is a proposed solution that aims to enhance the precision and effectiveness of groundwater availability mapping by incorporating IoT technology and Deep Learning Classification. The DL-GWCM comprises multiple constituent elements, such as Groundwater Prediction, Water Quality Index, and Conventional Neural Network- Bidirectional Long Short-Term Memory (CNNBi LSTM) classification. The process of Groundwater Prediction involves the utilization of past data and environmental factors to make precise forecasts of groundwater levels. The Water Quality Index evaluates the quality of subsurface water resources, guaranteeing their secure and enduring utilization. The Deep Learning Classification Model with IoT technology was implemented for groundwater accessibility mapping in Indian arid zones. It integrates Groundwater Prediction, Water Quality Index, and CNNBi LSTM classification. The model makes precise forecasts using past data and environmental factors, ensuring secure water quality. Using the CNNBi LSTM classification model improves the precision of groundwater availability mapping due to its resilient classification capabilities. These findings suggest that the DL-GWCM outperforms conventional approaches. The mean values of all five metrics for the proposed method are presented as follows: The performance metrics of the model are as follows: Root Mean Square Error (RMSE) of 0.77%, Mean Absolute Error (MAE) of 2.13%, Relative Absolute Error (RAE) of 8.72%, Root Relative Squared Error (RRSE) of 0.92%, and Correlation Coefficient (CC) of 0.92. The results of the proposed methodology facilitate the discernment of regions with abundant or scarce groundwater accessibility, thereby supporting the sustainable management and planning of groundwater resources. 2024 Elsevier B.V. -
WORK LIFE BALANCE: ISSUES AND CHALLENGES IN THE INFORMATION TECHNOLOGY SECTOR
Major issues and challenges in work life balance is the impact of work life balance (WLB) on quality of life (QOL). Work-life balance has always been a concern of those interested in the quality of working life and its relation to broader quality of life. Some other issues and challenges are work-family conflict, impact of work and family stressors and conflicts on the mental health, stress and work life balance etc. Quality of life refers to the favourableness or unfavourableness of a total environment for people. QOL programs are another way in which organisations recognise their responsibility to develop jobs and working conditions that are excellent for people as well as for economic health of the organisation. Work ?? Life Balance is a challenging issue for IT leaders, managers and has also attracted the attention of researchers. Work/life balance, in its broadest sense, is defined as a satisfactory level of involvement or ??fit between the multiple roles in a persons life. In this climate managing the boundary between home and work is becoming more challenging. This study is an attempt to contribute afresh with a new perspective to the field of human resources with special reference to QOL in relation of employees work ?? life balance in IT organizations. It is also an earnest attempt to bridge the gap especially in this area by highlighting the relevance and importance of work ?? life balance and QOL to leadership, senior management, individual and organizations and hoping this study will initiate a series of serious and productive discussion on the subject. The findings and outcome of this research will be beneficial to the IT organizations in India, which is a flourishing industry and contributes significantly to the GDP of the country and the talent pool of the world The sample consisted of 350 IT employees from Bangalore city. The sample consisted both male and female married IT employees. The major findings of the study were: i.Work life balance is having positive correlation with quality of life. ii.It was found that the PLIW has a significant influence on the overall stress of the employees. The other variable does not seem to significantly influence the overall stress of the employees. iii.It was found that there was no significant influence of the work life balance on the life enjoyment of the employees. iv.It was found that there was a significant influence of WIPL and WPLE on the overall quality of life. v.There is no significant influence of work life balance on the overall impression of the employees. vi.There is no significant difference of the dimensions of work life balance and quality of life across age groups. vii.It was found that there was significant difference across age groups for the work/personal life enhancement dimensions. viii.It was found that there was no significant difference across gender for the overall quality of life dimensions. ix.Work life balance is having positive correlation with quality of life. CONCLUSION IT organizations should come up with effective and efficient work ?? life balance policies and programs, this will help reduce the work ?? life conflict for IT employees. Further IT leaders should take initiative to improve the quality of life of their employees as it plays a significant role in the organization to improve individual and organizational performance. -
Publication stress amongst scholars and faculties: a concern of mental health
Purpose: The purpose of this paper is to explore the impact of the seemingly entrenched culture of publish or perish on academics and lecturers mental health in academia. From an autoethnographic perspective, personal experiences of stress, anxiety and burnout are articulated and considered in terms of broader system issues within academia. Design/methodology/approach: Using personal reflections on publication pressure and combining that with the broader existing literature on mental health in academia, this paper, like the ones mentioned above, has been written with autoethnography as the research mode. Autoethnography is a research method that allows for profoundly exploring personal experiences but frames them in a broader academic context, thereby allowing for a qualitative analysis of academics mental health challenges. Findings: The pressure to publish in high-impact journals puts a person under a level of mental health stress that includes feeling anxious, feeling like an impostor and suffering from burnout. Therefore, this very unfitting competitive environment requires institutional support and strategies to mitigate the stress associated with publication. Originality/value: This paper offers an autoethnographic view of the mental health difficulties in academia, providing a firsthand account of the emotional toll of academic publishing. This paper fleshes out the burgeoning discourse surrounding mental health within higher education by connecting personal experiences with systemic issues, pointing to changes in culture and structure. 2024, Emerald Publishing Limited. -
Model independent analysis in (?, n) reactions using deuterium targets
Photonuclear reactions play an important role in nuclear physics, astrophysics and in various applications such as non-destructive measurement of nuclear materials (NDT). The study of (?, n) reactions using deuterium targets i.e., photodisintegration of deuterons in addition to all the other (?, n) reactions, is of considerable interest to these fields. In this contribution, we have studied the photodisintegration of deuterons with unpolarized photons. The angular dependence of the differential cross section is studied by expressing it in terms of Legendre polynomials. The analysis of differential cross-section is presented using the model-independent irreducible tensor formalism. 2021 -
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Hybrid models for intraday stock price forecasting based on artificial neural networks and metaheuristic algorithms
Stock market prediction is one of the critical issues in fiscal market. It is important issue for the traders and investors. Artificial Neural Networks (ANNs) associated with nature inspired algorithms are playing an increasingly vital role in many areas including medical field, security systems and stock market. Several prediction models have been developed by researchers to forecast stock market trend. However, few studies have focused on improving stock market prediction accuracy especially when utilizing artificial neural networks to perform the analysis. This paper proposed nine new integrated models for forecasting intraday stock price based on the potential of three ANNs, Back Propagation Neural Network (BPNN), Radial Basis Function Neural Network (RBFNN), Time Delay Neural Network (TDNN) and nature inspired algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC).The developed models were named as GA-BPNN, PSO-BPNN, ABC-BPNN, GA-RBFNN, PSO-RBFNN, ABC-RBFNN, GA-TDNN, PSO-TDNN and ABC-TDNN. Nature inspired algorithms are employed for optimizing the parameters of ANNs. Technical indicators calculated from historical data are fed as input to developed models. Proposed hybrid models validated on four datasets representing different sectors in NSE. Four statistical metrics, Root Mean Square Error (RMSE), Hit Rate (HR), Error Rate (ER) and prediction accuracy were utilized to gauge the performance of the developed models. Results proved that the PSO-BPNN model yielded the highest prediction accuracy in estimating intraday stock price. The other models, GA-BPNN, ABC-BPNN, GA-RBFNN, PSO-RBFNN, ABC-RBFNN, GA-TDNN, PSO-TDNN and ABC-TDNN produced lower performance with mean prediction accuracy of 97.24%, 98.37%, 84.01%, 85.15%, 84.01%, 83.87%, 89.95% and 78.61% respectively. 2021 -
Novel approaches for nonlinear Sine-Gordon equations using two efficient techniques
In this work, we obtained a new functional matrix using Clique-polynomials of complete graphs (Formula presented.) with (Formula presented.) vertices and considered a new approach to solving the SineGordon (SG) equation. The clique polynomial method transforms this equation into a system of algebraic equations. The solution will be drawn with the help of Newton Raphsons method. Also, we employed the q-homotopy analysis transform method (q-HATM), which is the proper collision of the Laplace transform and the q-homotopy analysis method (q-HAM). To witness the reliability and accuracy of the considered schemes, some illustrations of the SG equation and double SG equation are considered. Here, the SG equation is solved easily and elegantly without using discretization or transformation of the equation by using the q-HATM. Also, in q-HATM, the presence of homotopy and axillary parameters allows us to have a large convergence region. The 3D surfaces of acquired solutions are drawn effectively. The tables of error analysis demonstrate the success of these methods. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Effectual Energy Optimization Stratagems for Wireless Sensor Network Collections Through Fuzzy-Based Inadequate Clustering
Wireless Sensor Networks (WSNs) are crucial in the burgeoning Internet of Things (IoT) landscape, serving as a backbone technology that enables myriad applications across various industries. Originating as a simple methodology, WSNs have evolved significantly, propelled by rapid advancements in sensor technology and hardware capabilities. These networks play a pivotal role in collecting and transmitting data, which is essential for the infrastructure of most IoT systems. WSNs operate by deploying sensor nodes across diverse locations to gather environmental data. This scalability and adaptability of WSNs were demonstrated in studies where network coverage was expanded to include 100 and 200 nodes. Notably, the implementation of the innovative FLECH (Fuzzy Logic Energy-efficient Clustering Hierarchy) protocol significantly enhanced energy efficiency, reducing consumption by 12.69% in networks with 100 nodes and by 36.85% in those with 200 nodes, compared to the traditional LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol. This work innovatively combines fuzzy logic and Particle Swarm Optimization (PSO) for efficient Cluster Head selection in Wireless Sensor Networks. The evaluation of these protocols involved numerous simulations and communication tests to ascertain the First Node Die (FND) pointindicative of when a network begins to lose efficacy due to energy depletion. Results indicated that the LEACH protocol reached the FND point faster than FLECH, suggesting that FLECH may offer better longevity and durability for IoT applications, aligning with the needs for sustainable and efficient operation in expanding technological ecosystems. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.