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Revisiting the Nexus Between Suicides and Economic Indicators: An Empirical Investigation
In India, as of 2021, there was a 7.2% increase in suicides. With the economic burden inflicted by the pandemic and increasing suicides, a systematic investigation needs to be done. This empirical investigation uses the Autoregressive Distributed Lag (ARDL) model to obtain long and short-term estimates for the relationship between suicides and prominent economic indicators. The findings suggest that economic indicators like GDP per capita growth, age dependency ratio, and unemployment rate have a significant dynamic relationship with suicides. In this regard, preventive measures can be formulated and implemented in such a way that focuses on improving the countrys economic scenario which will in turn reduce suicides. Organizations and governments can plan training and mental health care programs for farmers, workers, and students. Mental health care services require attention from the government so that at a macro level the problem of increasing suicides can be handled. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Identification of Superclusters and Their Properties in the Sloan Digital Sky Survey Using the WHL Cluster Catalog
Superclusters are the largest massive structures in the cosmic web, on tens to hundreds of megaparsec scales. They are the largest assembly of galaxy clusters in the Universe. Apart from a few detailed studies of such structures, their evolutionary mechanism is still an open question. In order to address and answer the relevant questions, a statistically significant, large catalog of superclusters covering a wide range of redshifts and sky areas is essential. Here, we present a large catalog of 662 superclusters identified using a modified friends-of-friends algorithm applied on the WHL (Wen-Han-Liu) cluster catalog within a redshift range of 0.05 ? z ? 0.42. We name the most massive supercluster at z ? 0.25 as the Einasto Supercluster. We find that the median mass of superclusters is ?5.8 1015 M ? and the median size ?65 Mpc. We find that the supercluster environment slightly affects the growth of clusters. We compare the properties of the observed superclusters with the mock superclusters extracted from the Horizon Run 4 cosmological simulation. The properties of the superclusters in the mocks and observations are in broad agreement. We find that the density contrast of a supercluster is correlated with its maximum extent with a power-law index, ? ? ?2. The phase-space distribution of mock superclusters shows that, on average, ?90% of part of a supercluster has a gravitational influence on its constituents. We also show the mock halos average number density and peculiar velocity profiles in and around the superclusters. 2023. The Author(s). Published by the American Astronomical Society. -
Thermoelectric effects in graphene
Graphene, owing to its unique electronic properties, has become one of the active areas of condensed matter research with promising applications in future efficient thermoelectric (TE) and energy storage devices. The present work reviews the status of thermoelectric power (TEP) of graphene systems, including single-layer, bilayer, and nanoribbons. The theory of TEP, based on the Boltzmann transport formalism in 2D systems, is given. An analysis of the experimental data, in terms of the diffusion and the phonon-drag contributions to TEP, with regard to the various scattering mechanisms operative in graphene systems, is presented. The outlook on TEP for better understanding of the TE properties of graphene is discussed. 2016 by Taylor and Francis Group, LLC. -
Thermoelectric effects in graphene
Graphene, owing to its unique electronic properties, has become one of the active areas of condensed matter research with promising applications in future efficient thermoelectric (TE) and energy storage devices. The present work reviews the status of thermoelectric power (TEP) of graphene systems, including single-layer, bilayer, and nanoribbons. The theory of TEP, based on the Boltzmann transport formalism in 2D systems, is given. An analysis of the experimental data, in terms of the diffusion and the phonon-drag contributions to TEP, with regard to the various scattering mechanisms operative in graphene systems, is presented. The outlook on TEP for better understanding of the TE properties of graphene is discussed. 2016 by Taylor & Francis Group, LLC. All rights reserved. -
An Efficient Localized Route Recommendation Scheme using Fusion Algorithm for VANET based Applications
The evolution of vehicles has led to the need for improved and advanced techniques to solve traffic related problems. The improvement related to cooperative vehicles has been a recent focus in dealing with such difficulties. The most popular application of co-operative vehicles is the route planning for travelers. In this paper, an innovative module namely Localized Route Recommendation with Fusion Algorithm (LR2FA) is proposed to enumerate a localized route recommendation system to communicate to co-operative vehicles. Traffic parameters such as vehicle speed and density information collected from the centralized location and used as decision factor to provide suggestions of routes using a novel Fusion Algorithm (FA). To evaluate the factors for route suggestion, FA uses a combination of genetic and heuristic-based approaches. The performance of the proposed localized route references is analyzed using simulated values of vehicle speed and density. It is seen from the results that the proposed LR2FA provides top fitting routes compared to greedy based route suggestion. 2022 IEEE. -
International Financial Reporting Standards and Their Impact on Financial Performance of Mindtree Ltd: A Case Study
Indian Journal of Social Science Research, Vol-1 (2), pp. 44-55. ISSN-2321-208X -
Cloudsim exploration: A knowledge framework for cloud computing researchers
This paper aims to help find solutions for questions an early researcher may have to set up experiments in their development environment. Simultaneously, while identifying the steps required for experimenting, the authors narrowed on an experimenting toolkit for Cloud Computing as an area of their study. Because of such simulators, the cloud computing environment itself is available easily at the comfort of ones desktop resources instead of visiting an actual physical data center to collect trace and log files as data sets for real workloads. This paper acts as an experience sharing to naive researchers who are interested in how to go about to start cloud computing setups. A new framework called Cloud Computing Simulation Environment (CCSE) is presented with inspiration from Procure Apply Consider and Transform (PACT) model to ease the learning process. The literature survey in this paper shares the path taken by researchers for understanding the architecture, technology, and tools required to set up a resilient test environment. This path also depicts the introduced framework CCSE. The parameters found out of the experiments were Virtual Machines (VMs), Cloudlets, Host, and Cores. The appropriate combination of the values of the parameters would be horizontal scaling of VMs. Increasing VMs does not influence the average execution time after a specific limit on the number of VMs allocated. Nevertheless, in vertical scaling, appropriate combinations of the cores and hosts yield better execution times. Thereby maintaining the optimal number of hosts is an ultimate saving of resources in case of VM allocations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. -
Analysis of Workloads for Cloud Services
Capturing best quality datasets for a study is the first evidence for better outcomes of research. If the analysis are based on such datasets, then the metrics, the characteristics and few factors determines proof point for well proven theories. Hence it is obvious that we rely on the best possible ways to arrive at such data acquiring sources. It can be either based on historical techniques or from the innovations in application of it to industry. This paper introduces a mapping framework for analyzing, and characterizing data previously used by research community and how they are made to fit for Cloud systems, i.e. using 'workloads' and 'datasets' as the 'refined definitions'. It was contributed in the past two decades within the scientific community setting their own workflow analysis mechanisms. The framework thus is validated by acquiring a sample workload per layer of cloud. The sources are form the literature that are available from existing scientific theories. These workloads are then experimented against the three tiers of the cloud computing ie., IaaS(Infrastructure as a Service), PaaS(Platform as a Service), & SaaS(Software as a Service). The selected data is analyzed by the authors for an offline model presented here based on the Machine Learning tool-kits. There are future studies planned for and to be experimented in a cloud auto scaled environment with online model as well. 2022 IEEE. -
Policies and metrics for schedulers in cloud data-centers using CloudSim simulator
Todays cloud technology consumers must address escalating computing and storage demands for services and applications. However, decision-making on provisioning and scheduling is challenging due to varying workflow demands within Infrastructure as a Service (IaaS). This study formulates an optimization problem with multiple objectives to identify optimal policies, employing heuristic metrics through cloud simulation similar to AWS EC2 instances. Experiments involve two task scheduler types, time-shared and space-shared, aimed at minimizing execution time and cost. The study introduces two novel algorithms, SLB and MinMax, for comparison with standard algorithms. It emphasizes the importance of precise quantification of uncertainty in cloud storage allocation and highlights the state-of-the-art policies and metrics achieved through virtualization techniques. The studys novelty lies in simulating both policies at two levels and proposing a novel algorithm for multi-objective optimization while providing cost and time measurements. Contributions include experimenting with various combinations, applying heuristics to entire data center entities, proposing a novel algorithm, and offering cost and time measurements for the optimizations. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG. -
Design and Development of Multi-Sensor ADEP for Bore Wells Integrated with IoT Enabled Monitoring Framework
Typically, about 51% of the groundwater satisfies the drinking water worldwide and is regarded as the major source for the purpose of irrigation. Moreover, the monitoring and assessment of groundwater over bore wells is essential to identify the effect of seasonal changes, precipitations, and the extraction of water. Hence, there is a need to design a depth sensor probe for bore wells so as to analyze/monitor the quality of underground water thereby estimating any geophysical variations like landslides/earthquakes. Once the depth sensor probe is designed, the data is collected over wireless sensor network (WSN) medium and is stored in cloud for further monitoring and analyzing purposes. WSN is the major promising technologies that offer the real-time monitoring opportunities for geographical areas. The wireless medium in turn senses and gathers data like rainfall, movement, vibration, moisture, hydrological and geological aspects of soil that helps in better understanding of landslide or earthquake disasters. In this paper, the design and development of geophysical sensor probe for the deep bore well so as to monitor and collect the data like geological and hydrological conditions. The data collected is then transmitted by wireless network to analyze the geological changes which can cause natural disaster and water quality assessment. 2023 The Authors. Published by AnaPub Publications. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0/) -
Improved reptile search algorithm with sequential assignment routing based false packet forwarding scheme for source location privacy protection on wireless sensor networks
Source Location Privacy (SLP) in Wireless Sensor Networks (WSNs) refers to a set of techniques and strategies used to safeguard the anonymity and confidentiality of the locations of sensor nodes (SNs) that are the source of transmitted data within the network. This protection is important in different WSN application areas like environmental monitoring, surveillance, and healthcare systems, where the revelation of the accurate location of SNs can pose security and privacy risks. Therefore, this study presents metaheuristics with sequential assignment routing based false packet forwarding scheme (MSAR-FPFS) for source location privacy protection (SLPP) on WSN. The contributions of the MSAR-FPFS method revolve around enhancing SLP protection in WSNs through the introduction of dual-routing, SAR technique with phantom nodes (PNs), and an optimization algorithm. In the presented MSAR-FPFS method, PNs are used for the rotation of dummy packets using the SAR technique, which helps to prevent the adversary from original data transmission. Next, the MSAR-FPFS technique uses an improved reptile search algorithm (IRSA) for the optimal selection of routes for real packet transmission. Moreover, the IRSA technique computes a fitness function (FF) comprising three parameters namely residual energy (RE), distance to BS (DBS), and node degree (ND). The experimental evaluation of the MSAR-FPFS system was investigated under different factors and the outputs show the promising achievement of the MSAR-FPFS system compared to other existing models. 2024-IOS Press. All rights reserved. -
Fabrication of biopolymeric sheets using cellulose extracted from water hyacinth and its application studies for reactive red dye removal
Driven by the imperative need for sustainable and biodegradable materials, this study focuses on two pivotal aspects: cellulose extraction and dye removal. The alarming repercussions of non-biodegradable food packaging materials on health and the environment necessitate the exploration of viable alternatives. Herein, we embark on creating easily degradable biopolymer substitutes, achieved through innovative crafting of a biodegradable cellulose sheet sourced from extracted cellulose. Concurrently, the significant environmental and health hazards posed by textile industry discharge of wastewater laden with persistent dyes demand innovative treatment strategies. This study extensively investigated four distinct methods of cellulose extraction from water hyacinth, a complex aquatic weed. The functional groups, crystallinity index, thermal stability, thermal effects, and morphology of the extracted cellulose were characterized by FTIR, XRD, TGA, DSC, and SEM. This exploration yielded a notable outcome, as the most promising yield (39.4 0.02% w/w) emerged using 2% sodium chlorite and 2% glacial acetic acid as bleaching agents, surpassing other methods. Building on this foundational cellulose extraction process, the extracted fibers were transformed into highly biodegradable cellulose sheets, outlining conventional packaging materials. Moreover, these cellulose sheets exhibit exceptional efficacy in adsorbing reactive red dye, with the adsorption capacity of 71.43 mg/g by following pseudo-second kinetics. This study establishes an economically viable avenue for repurposing challenging aquatic weeds into commercially valuable biopolymers. The potential of these sheets for dye removal, coupled with their innate biodegradability, opens auspicious avenues for broader applications encompassing commercial wastewater treatment procedures. 2023 Elsevier Inc. -
Approaches on redesigning entrepreneurship education
All over the world there is an emergence of a self-reliant life. This instilled a spark in entrepreneurship, especially during the wake of a pandemic world. The paradigm shift from dependency to self-reliance demands a set of skills and techniques as prerequisites to thrive in this competitive world. This chapter introduces a couple of innovative pedagogy strategies that can be inculcated in educational institutions, which will give rise to efficient entrepreneurs who can face adversaries and make an efficient contribution to society. The chapter aims to integrate realistic learning activities for fostering capability development in entrepreneurship education. Capability enhancement in entrepreneurship education includes activities that improve the knowledge, skills, and talents of potential entrepreneurs. The chapter aims to develop a model that further illustrates how the educational entrepreneurial experience could be explored. 2023, IGI Global. -
Adoption of blockchain technology in the real estate sector toward the improvement of smart cities
The rapid urbanization of global population causes many social, economic, and environmental issues, which does significantly influence the quality of life and living conditions of the people over the past years. The idea of smart city has grown popular, and it brings the opportunity to solve these urban issues. The motives of smart cities are to create the best use of public resources, enhance the quality life of people, and provide high quality services. Also, smart cities benefit from innovative applications of new kinds of information and communication technology to support communal sharing. Blockchain technology (BT) is more helpful to promote the development of smart cities through the implementation of BT in all the sectors. Blockchain-based smart contracts are disrupting the smart real estate sector of the smart cities. With this background, the study aims to explore the adoption of green BT in real estate sector toward the implementation of smart cities. 2023 Elsevier Inc. All rights reserved. -
Assessing the impact of smart city technologies on sustainable urban mobility in developing economies
In the face of escalating urban populations, the quest for seamless mobility in cities becomes increasingly complex, even in regions where transit options are presumably accessible within the developing world. The imperative to confront urban mobility challenges and forge sustainable cities equipped with adept transportation and traffic management systems cannot be overstated. This study delves into the technological paradigms employed by developed nations and evaluates their pertinence in the current milieu for mitigating urban mobility challenges. Simultaneously, it scrutinizes the deployment of smart city technologies (SCTs) within developing nations, investigating potential technological strides that can be harnessed to achieve sustainable urban transportation. By dissecting the intricacies of SCTs in developing countries, the study aims to unearth viable technological advancements that can be judiciously implemented to foster sustainable urban mobility. It aspires to provide nuanced recommendations for the integration of latent SCTs, unlocking untapped potential to augment the sustainability of urban transportation in the developing world. The research also elucidates strategies geared towards fostering international collaborations which are instrumental in propelling the development of cities characterized by equity and inclusivity. The study underscores the significance of a global alliance in overcoming urban challenges, emphasizing the need for shared knowledge, resources and experiences to propel the evolution of cities towards a more sustainable and equitable future. This research serves as a comprehensive exploration of the intricate interplay between technology, urbanization and international cooperation, offering insights and recommendations pivotal to steering the trajectory of urban development in developing nations. 2024 Mallika Sankar, Sathish Pachiyappan, Arjun B S and Anubha Srivastava. -
Sustainable practices in Indian aviation
Air travel produces about three percent of carbon dioxide emissions worldwide. The air travel industry requires an enduring vision that focuses on sustainable practices in the entire aviation sector, which will be a significant aspect of the future of civil aviation. The study adopts a systematic review to portray significant challenges, issues, and best practices in the worldwide aviation industry, highlighting the Indian scenario to establish future exploration in India. The chapter extensively investigates the latest sustainable developments in the airline business, the logical agreement on its ecological effects, and steps taken for sustainability. 2023, IGI Global. All rights reserved. -
The hype of the hybrid on work culture compatibility
In the wake of the pandemic, a new working model known as the "hybrid model" has emerged, combining the advantages and disadvantages of both "on-site" and "work from home" cultures to create a balance between the two worlds. This study conducts an in-depth survey of the merits and demerits of diverse working cultures among employees at various hierarchy levels in different industry sectors. Based on the assortment of over 350 white-collar employees working across India in the cultures mentioned earlier, it has been observed that the hype of the hybrid is justified. The study discovered that the majority of the workforce favors the hybrid model, providing the perfect balance between work and personal life. However, this new blend needs to have a better cognizance and acceptance from both the employer and the employee perspectives. The insights would set a benchmark for companies and employees to develop a plan of action. 2023, IGI Global. -
Critique of normality in Cormac McCarthy's Suttree
[No abstract available] -
Effect of magnetic field on the onset of Rayleigh-Benard convection in a micropolar fluid with internal heat generation
The effects of through flow, internal heat generation and magnetic field on the onset of Rayleigh-Benard convection in electrically conducting Micropolar fluid are studied using the Galerkin technique. The eigenvalue is obtained for rigid-free velocity boundary combinations with isothermal and adiabatic on the spin-vanishing boundaries. A linear stability analysis is performed. The influence of various parameters on the onset of convection has been analyzed. The microrotation is assumed to vanish at the boundaries. A linear stability analysis is performed. The influence of various parameters on the onset of convection has been analyzed and their comparative influence on onset is discussed. The problem suggests an elegant method of external control of internal convection. -
Streaming success: Examining the impact of ott media on content production and consumption of New Malayalam Cinema
Exploring the prosperous union of New Malayalam Cinema and OTT platforms, this chapter scrutinises the circumstances under which the former thrived on OTTs during the COVID-19 pandemic. It delves into Malayalee market trends, the content diversification incited by OTTs, and the expansion of New Malayalam Cinema's market. As it explores changing audience consumption patterns and the prospects of India's OTT landscape, it particularly accentuates Malayalam regional cinema. By providing examples of films that debuted on OTT platforms, such as C U Soon and Joji, the chapter offers an in-depth analysis, highlighting the success of this symbiotic relationship. 2024, IGI Global.