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ON TRANSFORMED GRAPHS
The network systems and graphical analysis through the study of structural characteristics is a vast field of growing importance in research. Topological indices have a significant and crucial role in the study of structureproperty relationships. In this paper, we examine constructional transformed networks constructed by unique vertex-edge incidence and mutual adjacency associations. Expressions for the first and second hyper Zagreb indices and co-indices of these transformed networks and their complements are obtained. 2023, RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES. All rights reserved. -
Using Behavioural Economics to Analyse and Enhance Contraception Usage Decisions
Existent literature helped narrow down variables influencing modern contraceptive adoption (usage), a behaviour carrying enormous positive externality. Using finite population sample size formula and probability proportional to size method of sample selection, primary data was collected from participants using inclusion and exclusion criterions. Binary logistic regression model was used to predict probability of occurrence of dependent variable usage of modern method of contraception being treated at a dichotomous outcome level. Predictor variables after confirming association by cross tabulation were introduced stepwise to build model subject to elimination of those variables adding insignificantly to the overall predictability of the model. Variables such as gender, education level, spousal influence, extended family influence, financial well-being and contraceptive information were found to significantly predict the probability of occurrence of the dependent variable. Except for financial well-being with three sub-categories, other independent variables were treated at dichotomous level. Income level was found to be an important predictor although found statistically insignificant. Non-contributory factors such as age, occupation and years of marriage were dropped. Post-model construction, borrowing nudges from behavioural economics (BE) domain, strategies to nurture the significant context specific influencing variables, were articulated. BE was particularly preferred for its openness to the paradigm of non-rational behavioural choices. 2022 SAGE Publications. -
Should we judge phcs by only iphs guidelines or probe further?
Background: Indian Public Health Standards (IPHS) evaluates supply side compliance of Primary Health Centers (PHCs). Patient Satisfaction (PS) on the other hand, assesses the demand side. Objective: Examining the supply side compliance and relating it to PS in the domain of Reproductive Health (RH). Methods: Using multistage stratified sampling, six rural and three urban PHCs in sub-districts, Ramanagara and Channapatna, in District Ramanagara, state of Karnataka, India, were chosen. Information collected using IPHS proforma for PHCs was compared with PS questionnaire (PSQ 18) data, collected from 398 patients visiting these facilities. Results: Using descriptive and inferential analysis, sub-optimal compliance levels in ease of access, physical & human infrastructure, patient data and usage of untied funds was found. Existing behavioral compliance was found to be optimal. These findings were in alignment with PS findings. Conclusion: Results call for PHC capacity building, incentivization and a crucial need to look into PS side, before passing judgement about performance standard. 2020, Indian Association of Preventive and Social Medicine. All rights reserved. -
Are muslims incurring higher out-of-pocket expenditures than hindus in reproductive healthcare at sub-district levels in Karnataka?
Background and Objective: This study was undertaken to evaluate level of differences found in Out-of-pocket expenditures (OOPE) among Hindus and Muslims, OOPE being a sub-component while constructing reproductive health account (RHA) matrices for Ramanagara district, Karnataka. Method: Adopting multistage stratified sampling method, individual level data was collected using survey tools, catering to six dimensions of RH functions, taken from WHO Guide to produce RH Sub-Account. 517 Hindu and Muslim men and women meeting inclusion criteria of reproductive age (15-49) incurring RH expenditures in last one year were included followed later by only 382 uninsured individuals for hypothesis testing. Results: Muslims showing almost double OOPE in RH necessitated hypothesis testing of significant difference in OOPE, equating groups, post exclusion of insured individuals. Statistically significant difference was revealed in RH expenditures using Mann-Whitney U test. Interpretations and conclusions: Vicious cycle of disparity in education levels, lower income levels, negligible health coverage, strenuous work conditions, poor living standards, repeated RH contingencies leading to massive borrowing financed OOPE in RH continues. 2019, Indian Journal of Public Health Research and Development. All rights reserved. -
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Intelligent Multi-modal Data Processing
A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors noted experts on the topic offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing. 2021 John Wiley & Sons Ltd. All rights reserved. -
Conclusion
Digital data produced through data-processing algorithms has fundamental advantages of transportability, proficiency, and accuracy; but on the other hand, the data thus produced brings in several redundancies. To solve this challenging problem with data transmission in network surroundings, research on information security and forensics provides efficient solutions that can shield the privacy, reliability, and accessibility of digital information from malicious intentions. Despite two decades of rigorous research, multicarrier communications still suffer from high complexity and low convergence, which have an immense practical impact. It is also more challenging to ensure proper transmission of multimodal data. Novel techniques have been proposed that can effectively abate these problems and provide good symbol error rate performance. The singularity expansion method provides a superior way to identify targets. This type of method may be useful for addressing contemporary problems faced by radar and antenna researchers. 2021 John Wiley & Sons Ltd. -
Introduction
In the digital era, signal processing has found application in daily life from medical diagnosis to social networking. The digital domain has evolved as the preferred choice in communication system design due to its advantages over analog systems, such as high-speed transmission, improved quality, and effortless copying with high precision. The advancement of digital media brings new opportunities. The internet boom of this millennium has allowed digital data to move around the world in real time. Efficient segmentation, recognition, and analysis of multidimensional data such as hyperspectral images, medical imaging, data analysis in social media, and audio signals are still challenging issues. Digital data produced through data-processing algorithms has the fundamental advantages of transportability, proficiency, and accuracy of information content; but such data is also at significant risk because perfect illegal replicas can be made in unlimited numbers. 2021 John Wiley & Sons Ltd. -
Effect of crude oil price changes on macro economy and capital market of India
Oil symbolizes an important role in the global economy. Crude oil or petroleum is an indispensable and a contributing factor for any economy. Several international crude oil price benchmarks (Brent, WTI, OPEC and so on) have always been tested through empirical studies to established certain cause-effect newlinerelationship and to determine their predictability. However, literature evidence is limited to Indian basket. Moreover, the need for forecasting this benchmark has newlinenot been acknowledged by the scholars. International crude oil price of Indian newlinebasket, also termed as Indian basket crude oil price, is the base of any petroleum newlineproduct pricing in India. Importing crude oil enhance the trade deficit of the nation. The present scenario of the global petroleum industry and the relationship among the major oil-producing and exporting countries are vulnerable. This situation increases the supply-side risk for the major oil-importing countries like India. In this state of affairs, it is vital to find out the factors that influence this price benchmark to reduce uncertainty. This research work aims to provide a holistic picture of the international crude oil price of Indian basket, considering the present scenario of the oil industry and lack of scholarly work on this field. Where on one side, the external factors affecting crude oil price has been determined, on the other hand how Indian economy and capital market is affected newlineby this price change have been found out. Triangulation method under a mixed approach has been adopted for this research work where quantitative and qualitative data collection have been run simultaneously. The time frame of the quantitative data collection is April, 2000 to March, 2018 and the frequency is newlinemonthly. Twenty experts have been interviewed to capture the qualitative aspects associated with the models. Four models have been proposed to execute the objectives. -
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Marital Arrangements and Womens Autonomy: The Narratives of Tibetan Women in Exile
There has been a shift from the previously dominant polyandrous marital arrangements to monogamous arrangements, upon exile, among the Tibetan refugees in India. This article attempts to examine the autonomy of Tibetan women in exile across polyandrous and monogamous marital arrangements through the lens of modernisation and feminist theoretical frameworks. A thematic narrative analysis of 30 Tibetan participants in both marital arrangements has helped in comparing womens autonomy in the domains of inheritance and division of property, household decision-making and with respect to childrens education and occupation. Even though modernising forces partially explain the shift from polyandry to monogamy, the narratives of women belonging to both the monogamous and polyandrous families lend support to the feminist framework suggesting the role of internalisation of social norms and self-abnegation as negatively affecting their autonomy. 2025 CWDS. -
Exploring the Power of Agency in Womens Non-farm Business Participation
The relationship between rural womens agency and their non-farm self-employment is explored. Using a sequential explanatory design and nationally representative India Human Development Survey data, it is shown that agency outcomes, such as household decision-making, freedom of movement and group memberships, are crucial for womens participation and their roles in non-farm businesses. Additionally, personal in-depth interviews with self-employed women in rural West Bengal and Karnataka reveal how they navigate and negotiate within business environments despite existing constraints. 2026, Economic and Political Weekly. All rights reserved. -
ON THE INDICES OF CERTAIN GRAPH PRODUCTS
Molecular descriptors are numerical graph invariants that are used to study the chemical structure of molecules. In this paper, we determine the upper bound of the Sombor index based on four operations involving the subdivision graph, semi-total point graph, semi-total line graph, and total graph related to the lexicographic and tensor product. The exact expressions of the first reformulated Zagreb index and the second hyper-Zagreb index of the tensor product are formulated on the basis of the four significant graphs. Further, the descriptors for certain standard graphs are obtained and the graphical comparison for the first reformulated Zagreb index has also been illustrated to understand the result better. 2025 University of Isfahan -
Bounds on Sombor index of graph operations
Operations in graph theory have a significant influence in the theoretical and application aspect of the domain. Topological indices serve as a crucial component in chemical graph theory linked with some molecular structure. Recently, Gutman initiated the study on the Sombor index. In this paper, the computation of some bounds for Sombor index of graph operation notably join, cartesian product, corona product, lexicographic product, tensor product and strong product is carried out. The computation has been utilized to determine the upper bounds of the index for the specified graph operations for some standard graphs like the path and cycle graphs. 2025 World Scientific Publishing Company. -
A study towards constructing a reproductive health account as sub-account of health at sub-district level of India
Reproductive health is a state where everyone of the reproductive age cohort can make informed choices based on their reproductive health needs and reach a state of bliss and well-being. Informed choices are a possibility only if there is awareness regarding options of healthcare available. Awareness further indicates capacity to measure the worth of the options available in hand. One major aspect of measuring this worth is dominated by the financial aspect of awareness. -
GUI-Based Percentage Analysis forCuring Breast Cancer Survivors
The modeling approach is increasing the intensity of research in all the domains. The present paper deals with predictive modeling and probabilities. Data analysis is a technique used to transform, reconstruct, and revise some information that is an essential step to achieve the goal or the end result. The present study involves the usage of logistic regression technique for data analysis. Various domain-specific methods pertaining to science, business, etc., are available for data analysis which plays a key role in decision-making and model building. The significance of this analysis is to get the percentage of the survival of patients with advanced breast cancer. 2020, Springer Nature Singapore Pte Ltd. -
Analysis of the pooled effect of compression ratio and injection timing variation on conventional diesel engine powered with nano doped biodiesel blend
This research aims to explore how incorporating nanoparticles into a biodiesel-diesel blend influences the performance, combustion, and emission characteristics of a diesel engine under varying conditions, including compression ratios, engine loads, and injection timings. The biodiesel and nanoparticles considered for this investigation are mahua biodiesel and Titanium oxide nanoparticles (TiO2), respectively. The experimental fuel is formulated by blending diesel and mahua biodiesel with the addition of titanium oxide nanoparticles. In this study, compression ratio is varied from 17.5 to 18, whereas fuel injection timing of 20, 23, and 25 BTDCs along with engine load variation of 20%, 40%, 60%, 80%, and 100% are considered. The experimentation utilized a single-cylinder diesel engine equipped with a variable compression ratio (VCR) feature and a power output of 3.5kW. The results indicate that the maximum brake thermal efficiency was achieved at a compression ratio of 18 and a fuel injection timing of 20 before Top Dead Center. For the same setting, the nanoparticle-enriched biodiesel-diesel blend exhibited the lowest levels of CO and HC emissions among all test runs, with reductions of 45.34% and 40%, respectively, compared to standard diesel operation. The Author(s) 2025. -
Northeast and its portrayal in broadcast media - A picture beyond terrorism and insurgency /
Northeast India is a rich home of natural beauty and magnificence surrounding the seven sister states of Assam, Arunachal Pradesh, Meghalaya, Manipur, Mizoram, Nagaland, Tripura and the nearby hilly state of Sikkim. In any case it is a bizarre reality that such an inconceivable region of the nation stays inadequately spoken and noticed in the national cognizance. -
COVID-19: Trend analysis for market arrival of green gram in India
The unprecedented crisis hovering over the world due to Covid-19 pandemic has structurally impacted every sector of the world economy. This paper attempts to study the impact of ongoing pandemic in the agricultural sector specific to pulses in India. This paper finds that there is a significantly negative impact of Covid-19 on the pulses market. The market arrival of pulses has declined in the recent period while market demand for pulses has increased, therefore, there exists a supply side shortage for pulses in the domestic economy of India. This paper suggests that Government of India (Agriculture Department) urgently needs to deal with this shortage in supply of domestic pulses in "mandis" (agricultural markets). In this paper market arrival for pulses particularly green gram (Moong whole) has been forecasted for the next few months in Indian Agricultural Markets with the forecasting techniques such as Auto Regressive Integrated Moving Average (ARIMA) model and Artificial Neural Network (ANN) technique for pre and during pandemic period by using the arrival data in agriculture markets of India from Agmarknet. The results of this study using ARIMA models and ANNs have been compared to obtain the final conclusions with higher visibility in forecasting performance, which shows that there will be a sharp decline in market arrival with an average arrival of 494 quintals per day which can be maximized up to 623 quintals per day by stimulating the modal price at maximum possible point. Therefore, the urgent need of upscaling the technical efficiency of the farmers in different agro-climatic zones is needed to meet the domestic demand with domestic supply. 2020 DAV College. All rights reserved.