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Simple Summary: This study examined patterns of dog ownership in three different states in India. The main aim was to understand who owns dogs, their reasons for owning them, and how these patterns vary in different areas. We conducted quantitative surveys to gather information on the number of people who own dogs, their backgrounds, and their attitudes towards their pets. Our findings show that there are significant differences in dog ownership depending on where people live and their economic status. In particular, we found settlements in Gujarat state to possess significantly fewer privately owned dogs that Tamil Nadu and Uttarakhand. These results are important because they help us understand the needs of dog owners and their pets in different parts of India. This information can be used by those making decisions about public health and animal welfare, such as how to manage stray dogs or prevent diseases that can spread from dogs to humans. This study is valuable as it provides a clearer picture of dog ownership in India, which can help improve the lives of both people and animals. This paper presents the demographics, dynamics, and attitudes of dog ownership across three states in India. The background of this research is set against the increasing significance of pet ownership in urban Indian contexts, with a particular focus on understanding the variations in dog-ownership patterns and their implications for public health and animal welfare. We employed a survey-based approach, gathering quantitative survey data from dog owners (n = 563) and non-dog-owners (n = 9282) across different socioeconomic and geographic backgrounds in seven Indian settlements. The results reveal notable differences in dog-ownership patterns, influenced by regional state. In particular, settlements in Gujarat were found to have significantly fewer dog-owning households than those in Tamil Nadu, with no differences found according to settlement size. Dog ownership was found to be more common in households of higher socioeconomic standing, and settlements in Uttarakhand were found more frequently to possess dogs for reasons other than companionship. Data from Ahmedabad and Vadodara, specifically, also indicate rapidly increasing rates of pet ownership. Sterilisation and rabies vaccination proportions were typically low and high, respectively, across all settlements, with few significant differences found among settlements. Confinement of owned dogs at night was significantly lower in Nainital than all other settlements. Differences in attitudes towards roaming dogs between dog owners and non-dog-owners were also examined, with the results indicating both positive and negative trends accordingly. Our results emphasise the need for region-specific strategies in public health and animal welfare policies, acknowledging the diverse nature of pet ownership in India. This research provides valuable insight for policymakers and animal welfare organisations, underlining the importance of tailored approaches to address the unique challenges and opportunities in the Indian context. [ABSTRACT FROM AUTHOR]

This paper explores the intricate interplay between mass-mediated communication, the formation of publics, and the political landscape within the culturally diverse and politically vibrant state of Tamil Nadu, located in Southern India. The study focuses on the unique context provided by the annual readers' meetings of the vernacular political satire journal, Thuglak. Employing a comprehensive political ethnography approach, the paper uncovers a complex web of interactions, ideologies, and identity formation that shape the publics of Thuglak. The paper further reveals that the political character of the journal's readership is profoundly influenced by the journal's core tenets, particularly Brahminism and Hindutva. Through a nuanced exploration of the Thuglak readers' meetings, the paper contributes to a broader understanding of the role of mass-mediated communication in shaping public sentiment and, subsequently, the political landscape in Tamil Nadu. This study serves as a testament to the powerful influence of local media in shaping the political destiny of a region and underscores the critical importance of examining such connections in an increasingly interconnected and globalised world. [ABSTRACT FROM AUTHOR]

Objectives: The primary objectives were to determine the proportion of modern menstrual method (MMM) users among college going women in Coimbatore district, Tamil Nadu; and to estimate the unmet needs associated with use of MMMs in comparison with other menstrual hygiene methods (MHMs). We also assessed the factors that determine MMM use among college going women. Methods: This was a descriptive cross-sectional study conducted among college going women in Coimbatore district, Tamil Nadu, India between October 2022 and January 2023 using a purpose predesigned, pretested, semi-structured proforma that included validated Menstrual Practice Needs Scale (MPNS-36). Results: Only 1.4% of the study participants used MMMs – menstrual cups (1.3%) and tampons (0.1%). Sanitary pads were the most common MHM of choice (96.3%); of which majority (98.6%) used disposable pads and more than half (50.4%) used non-biodegradable pads. Importantly, one in six (16.5%) were not aware of nature of sanitary pads (biodegradable or nonbiodegradable) used. The unmet needs associated with MMMs (menstrual cups and tampons) were significantly lower than that for other MHMs (including sanitary pads), in particular, the unmet material and home environment needs, unmet material reliability concerns, unmet reuse needs and unmet reuse insecurity. However, we found no significant difference between MMMs, sanitary pads and other MHMs in terms of unmet transport, college environment, change and disposal insecurity needs. The significant predictors of use of MMMs were age (more than 21 years of age), residence (urban), type of stay (off campus including home), socioeconomic status (upper), fathers' and mothers' education (high school and above), and presence of personal income. Discussions with friends (or peers) both before and after menarche regarding menstruation resulted in higher adoption of modern menstrual methods. Conclusion: MMMs provided comparative advantage with lesser unmet needs for material reliability and reuse insecurity concerns, particularly in home environment. However, none of the MHMs fulfilled the user expectations for transport and disposal insecurity concerns, particularly outdoors. [ABSTRACT FROM AUTHOR]

The study examines the awareness and usage of Academic Social Networking Sites (ASNS) among female research scholars and faculty members in Tamil Nadu, India. A structured questionnaire was used to survey 838 female research scholars through online platforms. The results showed that most respondents use at least one ASNS, with Google Scholar being the most popular. The primary reasons for using ASNS are to disseminate scholarly work and discover research papers. However, a lack of awareness and time was the main reason for not having an account with these sites. The respondents learned about ASNS primarily through friends and colleagues and suggested increasing their use and awareness through seminars and training courses, library posters, and integration in the student courses. The study highlights the importance of ASNS in the research work of female scholars and faculties while also recognizing the need for increased awareness and access to these resources. [ABSTRACT FROM AUTHOR]

In recent times, the virtual power plant (VPP) is gaining more attention in power system engineering due to its tremendous potential in enhancing sustainable urbanism, in which, it supplies clean energy from distributed generators. Electricity is deemed a basic requirement for future automotive and ultra-modern technologies. The deficiency of traditional energy resources and their complex generation process make the production cost of electricity increase dramatically. Moreover, traditional power distribution systems are encountering issues in distributing electrical energy to fulfill customer demands. Therefore, this paper proposes a novel power management system named 'the hybrid genetic local binary knowledge (HGLBK) algorithm' to manage power distribution in the transmission lines and to optimize the total operation cost of the network. The hybrid optimization algorithm effectively controls the load by supplying the surplus power load to the adjacent feeders thereby optimally selecting and placing the distributed energy resource (DER). The proposed concept is implemented at Kayathar, Tamil Nadu in India, and their real-time data are utilized for modeling the VPP. The proposed VPP concept is implemented in the IEEE-9 bus system and the performance of VPP is simulated using the MATLAB software. The performance of the proposed HGLBK algorithm is assessed by comparing its effectiveness with the existing approaches. [ABSTRACT FROM AUTHOR]

Structural health monitoring (SHM) for early diagnosis of damage in structures has become vital in improving the structural integrity and safety of the structure and thereby providing a smooth operation for most of the important in-service civil structures such as buildings and bridges. SHM also contributes to the substantial reduction in the maintenance cost of the structure. During serious structural failures, SHM can safeguard human life through an early warning system. This paper presents an output-only model-free technique by extracting damage features from the energy profiles derived from measured time-history responses. The proposed algorithm is organized into two phases i.e. the learning phase and the monitoring phase. While the learning phase can optionally be executed offline, the monitoring phase can preferably be online. The damage feature is extracted by carrying out a fractal dimension analysis of the continuous waveform of energy associated with the jolt (i.e. rate of change of acceleration) evaluated from the acceleration responses of the structure. A novel damage index is proposed, to localize the damage, using the damage features extracted from the fractal dimension, while handling operational and environmental variability (EoV). The proposed algorithm is evaluated through numerical simulations on a typical span of 220 m RCC bridge across river Amaravathi in Tamil Nadu, India and also a 20-story frame structure. Experimental investigations are also carried out by testing a laboratory-scale 10-story frame structure and also an RCC bridge model of a 7.7 m span to evaluate the practical amenability of the proposed algorithm. The experimental and numerical studies carried out in this paper, suggest that the proposed energy-based diagnostic technique can effectively localize the damage even in the presence of confounding factors like EoV. Conclusively, the proposed diagnostic technique can be an effective tool for online SHM, as it is model-free with less tedious computations and can perform well even in the presence of noise. [ABSTRACT FROM AUTHOR]

This paper proposes a blend of three techniques to select COVID-19 testing centers. The objective of the paper is to identify a suitable location to establish new COVID-19 testing centers. Establishment of the testing center in the needy locations will be beneficial to both public and government officials. Selection of the wrong location may lead to lose both health and wealth. In this paper, location selection is modelled as a decision-making problem. The paper uses fuzzy analytic hierarchy process (AHP) technique to generate the criteria weights, monkey search algorithm to optimize the weights, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank the different locations. To illustrate the applicability of the proposed technique, a state named Tamil Nadu, located in India, is taken for a case study. The proposed structured algorithmic steps were applied for the input data obtained from the government of India website, and the results were analyzed and validated using the government of India website. The ranks assigned by the proposed technique to different locations are in aligning with the number of patients and death rate. [ABSTRACT FROM AUTHOR]

Background: As a signatory of the United Nations Commission on Child Rights, India has enacted laws and policies to protect the child's interests. The Juvenile Justice Act of 2015 addresses the needs and well-being of the most vulnerable children, including those who do not have anyone to care for or have experienced a traumatic upbringing and those who are allegedly in conflict with the law. No research from India addresses these vulnerable children's mental health and well-being. The current paper describes a pilot project to create mental health awareness and improve children's care access in India's Juvenile Justice System (JJS). Methods: Permission was obtained from appropriate governmental agencies in Odisha and Tamil Nadu and Child Care Institutions (CCIs) that consented to participate. A co-creation model was utilized to create youth-friendly spaces and methods to deliver mental health literacy for all stakeholders and access to care. Results: Seven CCIs and 278 children across two states participated in the implementation of the project. 37.8% of the children had resided for less than six months and 34.5% for more than two years in the current CCI. Of the various adverse childhood experiences, neglect was the highest at 76.3% followed by parental issues at 32%. Conclusions: Children in the JJS have many risk factors predisposing them to develop mental health issues. This unique pilot project describes implementing a codesigned and co-created model of delivery of mental health literacy and access to care to this vulnerable group of children. [ABSTRACT FROM AUTHOR]

Most developing countries have large and persistent informal sector. Historically, the literature was dominated by strict duality viewpoint, where the formal and informal sectors are treated as two separate entities. However, in recent times, a new approach has developed where the formal and informal sectors are not binary but they often co-exist and feed into each other. Most academic work on agglomeration economies is based on developed countries where almost all production takes place in the formal sector. Apriori, there is no reason to believe that agglomeration economies do not extend to the informal sector. Hence, in this paper, we hypothesize that agglomeration economies can arise from the interaction between formal and informal firms as well. To check the validity of the hypothesis, we study the geographic distribution and Coagglomeration pattern between formal and informal manufacturing firms in India. Using the firm level National Sample Survey for unincorporated enterprises and Annual Survey of Industries data, we calculate the Ellison and Glaeser Coagglomeration index at 2-digit NIC level. Further, using the Marshall's theory of agglomeration, we create four kinds of linkages to capture the nature of interdependence between formal and informal firms, i.e. Buyer, Supplier, Labor and Technology. We find that there is heavy clustering of both formal and informal manufacturing firms in India, however, mostly in different areas, with few exceptions like Western Uttar Pradesh and Southern Tamil Nadu. Out of 22 major industries, we find high coagglomeration only in 7. The average value of coagglomeration index at aggregate level decreases from 0.00536 in 2000-01 to -0.0027 in 2015-16. This indicate towards reduced interdependence over time, however in few industries it remains high. The average value of labor linkage increased from 0.1889 in 2000-01 to 0.3651 in 2015-16, during the same period buyer linkage remained constant around 0.2481 and supplier linkage fell from 0.5755 to 0.2749. The technology linkage remained low throughout in the range of 0.02-0.03. Strong buyer and labor linkage mean subcontracting of inputs is the main motive driving the interaction between formal and informal firms. [ABSTRACT FROM AUTHOR]

According to the Tamil Nadu Energy Development Agency (TEDA) in the 2019-20 academic year, the wind power plant produces 23% of the biomass power supply in the Indian electrical commodities. To maintain the power withstanding capability needed for future electrical commodities, a yearly power shutdown program is implemented. An additional wind power plant unit will be erected and create more electricity, thereby balancing India's commercial electricity needs. Even in a nonstationary working environment, continuous monitoring and analyzing the efficiency of wind turbines is a more difficult task. Consequently, in this paper, a health index calculation for wind power plants is proposed utilizing neurofuzzy (NF) modeling. Wind generator efficiency can be measured mathematically by recording three crucial primitivistic such as observed rotation speed, generation wound temperature, and gearbox heat. Fuzzy rules are used to design the parameters of the neural network (NN), and the accumulated signal is compared using the nonlinear extrapolation approach to determine the wind generator's behavior and evaluate the hazards. During the experimental study, two windows of 24 hours and 60 hours are used, where the deviation signal required for the hazard induction is investigated. The proposed approach can accurately calculate the wind generator's health state. As a result of an improved health operating and management (HOM) system, the amount of power generated by industrials and domestic appliances has increased dramatically. [ABSTRACT FROM AUTHOR]

The global COVID-19 pandemic has hit the agriculture sector hard around the world. A study was conducted to assess the impact of the pandemic on cropping patterns, crop management, usage of chemical inputs and their organic alternatives, harvesting, and marketing avenues through a survey approach in the two states of Kerala and Tamil Nadu in India. A total of 250 farmers participated in the study, the data was analyzed by Chi-square test and Kruskal–Wallis test. The assessment of the impact of COVID-19 on some aspects was undertaken by dividing the study period into three phases. Though a smaller number of people were infected with COVID-19 in the initial phase of the pandemic compared to the later phases, farm operations and the procurement of inputs were significantly affected at this phase as there was a sudden disruption in transportation due to COVID-19-induced movement restrictions. During the entire study period, commodities such as rice, bananas, vegetables, coconuts, and flowers suffered maximum crop loss compared to pulses, groundnuts, cotton, and rubber. Among fertilizers, the maximum shortage was observed for chemical fertilizers (46%) and biofertilizers (30%) compared to cow dung (18%) and poultry manure (6%), indicating that farmers tended to use more local materials that could be easily procured and accessed compared to shop-based inputs. A rise in the cost of cultivation, scarcity of farm workforce, and difficulty in hiring farm machinery all have contributed to the loss of profit during the pandemic period. As a response to COVID-19, growers initiated post-harvest processing of commodities, and cropping systems remained the same during the period. The paper also discusses some remedial measures to be adopted by households in the future, to minimize the impacts of such pandemics in the agrarian sector. [ABSTRACT FROM AUTHOR]

This article examines the structural aspects of climate vulnerabilities in the context of monsoon failures. The paper is based on a unique household survey, conducted in Tamil Nadu, India. The study uses a rural differentiation framework to interrogate unequal vulnerabilities to monsoon failures, based on measures such as Gini coefficients and Lorenz curves of monetary losses. Results show that negative consequences of climate change in general, and monsoon failures in particular, intensify pre-existing socio-economic disparities. When the rural differentiation theory is applied in a broader sense, the analysis shows that landed and farming households have greater exposure and losses. When we move beyond these aggregate categories, the revelation is that households with pre-existing disadvantages such as marginal landholders, subsistence farmers and agricultural workers are more vulnerable. • Global warming affects agriculture in South Asia in a major way through monsoon failures. • Vulnerability to monsoon failures can be measured by associated monetary losses. • These losses are highly unevenly distributed, pointing to significant inequality in impacts. • Landless households, marginal holders and subsistence farmers have higher losses. • Climate change intensifies existing structural disadvantages. [ABSTRACT FROM AUTHOR]