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Critical analysis of national and international laws in relations to intimate partner violence :
The term violence refers to varied perceptions of unacceptable behaviour. The newlinenature of the act suggests that it is inflicted by the superior over the inferior. newlineThus gender constitutes a significant factor of the study. The research identifies that women are subjected to gender based inequalities in different areas of life newlineand domestic environment is not an exception. Domestic Violence , a manifestation of gender inequality, is prevalent in many forms. The most newlinecommon form of domestic violence is identified as Intimate Partner Violence newline(IPV) by the national and international statistics. newlineThe research is drawn upon the objective to understand the different factors that newlinecontribute to IPV and to critically examine the legal framework for the protection of women against IPV in India. Research adopts a human rights based approach to understand the inferior status of women drawn upon gender newlineinequality and thus to critically examine the legal framework in India for protection of women against IPV. newlineThe study is divided into five chapters which specifically analyses the status of women in the Indian society and the role of law to protect women in intimate relationships. Comparative study of UK and US laws with special reference to international instruments is conducted. Identifying the major drawback of law, the study proves that the existing legal framework is inadequate to protect women from intimate partner violence . newline newline newline -
Critical concepts of restrained domination in signed graphs
A signed graph ? is a simple undirected graph in which each edge is either positive or negative. Restrained dominating set D in ? is a restrained dominating set of the underlying graph |?| where the subgraph induced by the edges across ?[D: V D] and within V D is balanced. The minimum cardinality of a restrained dominating set of ? is called the restrained domination number, denoted by ?r(?). In this paper, we initiate the study on various critical concepts to investigate the effect of edge removal or edge addition on restrained domination number in signed graphs. 2022 World Scientific Publishing Company. -
Critical Estimation of CO2Emission Towards Designing a Framework Using BlockChain Technology
The automobile industry is a significant global contributor of carbon footprint this industry has impacted climate change, the research explores the existing methods of carbon footprint tracking and creates a framework by applying blockchain technology by connecting all the countries into one system as blockchain carries the capability to do due to its transparency, security and immutability the proposes of decentralised framework for real time tracking quarterly and implementing the necessary policies to mitigate the raising emission. The methodology encompasses of data analysis of using time series analysis globally and focusing certain parts of the world to show the emissions and creating a design that can help us in tracking the carbon footprint making all over the countries around to participate in suggesting to create a pathway for the future generations a better world as advance technologies come into the world for better ways to save the environment. 2024 IEEE. -
Critical Factors Leading to Sustainable Initiatives in the Global Market
With the emergence of digital technologies, no sector has remained untouched from the influence and application of digitalization. The future is moving more toward implementing and operating things digitally. Sustainable development aims to achieve a better and secure future, thus the need for renewal of resources. To secure the future of all, there is a need to meet human development goals by preserving the natural resources on which the economy depends. Sustainable development concentrates on economic development, social development, and environmental development. The natural system, or resources, has significant importance on the economic as well as social development. There are many areas of influence that lead to the need of sustainable development. This chapter provides thorough and deep insight into sustainable development and its implementation in digital technologies. The chapter covers, but is not limited to, the following: Introduction to sustainable development History of sustainable development Factors influencing sustainable development Underlying goals of sustainable development. 2024 selection and editorial matter, Vandana Sharma, Balamurugan Balusamy, Munish Sabharwal, and Mariya Ouaissa. -
Critical point equation on almost f-cosymplectic manifolds
Purpose: Besse first conjectured that the solution of the critical point equation (CPE) must be Einstein. The CPE conjecture on some other types of Riemannian manifolds, for instance, odd-dimensional Riemannian manifolds has considered by many geometers. Hence, it deserves special attention to consider the CPE on a certain class of almost contact metric manifolds. In this direction, the authors considered CPE on almost f-cosymplectic manifolds. Design/methodology/approach: The paper opted the tensor calculus on manifolds to find the solution of the CPE. Findings: In this paper, in particular, the authors obtained that a connected f-cosymplectic manifold satisfying CPE with \lambda=\tilde{f} is Einstein. Next, the authors find that a three dimensional almost f-cosymplectic manifold satisfying the CPE is either Einstein or its scalar curvature vanishes identically if its Ricci tensor is pseudo anti?commuting. Originality/value: The paper proved that the CPE conjecture is true for almost f-cosymplectic manifolds. 2021, H. Aruna Kumara, V. Venkatesha and Devaraja Mallesha Naik. -
Critical review on arsenic: Its occurrence, contamination and remediation from water and soil
With the increasing pollution in todays world, importance is being given to solve a problem and do it in a sustainable, eco-friendly manner. Arsenic is a class-1 carcinogen and also causes many other side effects to humans, plants and animals. The utilization of arsenic as wood preservatives, pesticides, or its historical overuse by some military units for rice killing operations has led to the increase in the toxic effects of arsenic like its carcinogenicity, decreased immune response etc. Although conventional methods like coagulation, lime softening, adsorption, membrane technology are effective, they have their disadvantages like additional waste generation, causing increased pollution and are expensive. The better alternative is phytoremediation. Appropriate plants like Brassica juncea, Hydrilla verticilata, Pteris vittata L., Vallisneria natans, can be chosen based on the method of the remediation like phytoextraction, phytostabilization and phytofiltration or phytovoltalization. This review provides the list of a few plants which can be likely chosen for the purpose of both water and soil remediation. Advancements are occurring in bioremediation studies with the development of transgenic plants like transgenic tobacco, transgenic Arabidopsis thali-ana for better phytoremediation. Understanding the mechanism employed by the plant for its uptake/detoxification can aid in the enhancement of the process of remediation with the external supply of phosphorus. Along with this, the proper and safe disposal of plants is crucial for the remediation process. In addition, awareness of this solution to the general public is to be made for its effectiveness. : Author (s). Publishing rights @ ANSF. -
Critique of normality in Cormac McCarthy's Suttree
[No abstract available] -
CRM Practices in Private Commercial Banks, Influencing Long Term Relationship and Customer Centric Holistic Approach
Purpose: The exigent purpose of the research is to find out whether socio-economic characteristics impress the study on CRM in private banks and to study CRM practices, factors sway long term relationship between customer and banks, and to know CRM as a customer central holistic approach. CRM gaining more attention as it is attracting and retaining the customers. CRM technology is used to organize, mechanized and integration of sales, marketing, support service and technical support (Robertshaw, 1999). There is a tremendous changes in market, innovation of technology, regional integration increasing competition and especially moderating customers. Approach: A well structure questionnaire was recommended for data collection in order to avoid delay, non-response and incompleteness. Respondents were met while they approached the bank. Either before or after their work respondents were appealed to provide the suitable consumer. A total of 220 questionnaires were in the hand and out of this 200 were usable and this forming 91% success rate. Findings: There is a significant variation in socio economic uniqueness except the demography account at different bank branches and all the factors shows high relationship sums account at different banks. The CRM practices ranked by respondents in the rank-wise are providing security of funds, providing greater value for money and transparency in banking services. Factors like customer satisfaction, well developed privacy policy and quick service are influencing better forever relationship between private sector banks and customers. The measurement of CRM a customer centric approach reveals that CRM protects data privacy, establishes and maintains strong relationship and CRM anticipates anticipates needs of customers. Further factors like data privacy, retention of existing customers and establish and maintain strong relationships are the impressing factors of customer centric approach. 2024, Collegium Basilea. All rights reserved. -
Crop improvement strategies and principles of selective breeding
Introducing new crop varieties, crop improvement, and selective breeding enable contemporary agriculture to alleviate food poverty, increase crop production, and enhance product quality. This chapter covers selective breeding, genetically modified crops, genetic resource conservation, and upcoming technologies. Selective breeding discusses heritability, gene frequency, dominance, and epistasis to predict genetic progress. Agricultural innovation involves genetic variety and variation to develop robust and high-performing crop types. Mass selection, pedigree selection, and recurrent selection for trait enhancement are investigated. Marker-assisted and genomic selection are tested for breeding speed and accuracy. The chapter covers genetically modified crops, agricultural improvement, and genetic resource conservation for sustainable agriculture. Gene editing, synthetic biology, and machine learning may boost agricultural yields. According to the abstract, crop development and selective breeding are essential for food security, sustainability, climate change, and agricultural demands. 2024, IGI Global. All rights reserved. -
Crop management using predictive analytics
The term "predictive analytics" covers a number of different statistical methods, such as "data mining," "machine learning," and "predictive modelling," which examine past and present data in order to formulate hypotheses and predictions about future events. The use of predictive analytics may provide farmers with the ability to predict future environmental changes more correctly, as well as the demand for their commodities, and improve their ability to make decisions. While predictive analytics may seem like an effective way to forecast future events, it cannot account for unforeseeable changes or external factors that could impact the accuracy of its predictions. Furthermore, relying solely on past and present data can lead to biased outcomes and fail to consider alternative scenarios that may occur. In essence, predictive analytics should not be used as the sole basis for decision-making in any given situation for crop management. 2024, IGI Global. All rights reserved. -
Cross border Mergers and Acquisitions originating from India: An evaluation of long term post-merger performance of acquiring firms.
This research follows the enhanced M&A activity in the Indian market to trace the impact of outbound international Mergers and Acquisitions (M&A) by Indian firms on the acquiring firm??s shareholders. The research makes a unique contribution in evaluating the long-term financial performance of acquiring firms in cross-border M&As and to detecting the strategic factors of their long-term success. The research used a sample of 91 events covering the period of deals occurring from 2004 to 2009 inclusively. The research used the Buy and Hold Abnormal Returns (BHAR) control firm method to evaluate the performance of firms. The research evaluated BHARs for 1-month, 3-months, 6-months and 12-months post the announcement of the acquisitions. The results obtained for the analysis showed significant negative returns for firms performing a cross border acquisition over a period of 12-months post the acquisition announcement. Hence the research concluded that cross-border acquisitions by firms from India generate negative effects on shareholder value for the acquiring firm??s shareholder, as on 12 months post the acquisition announcement. The above conclusion implies that the firms that perform cross border acquisitions actually perform worse than their counterparts that did not perform a cross border acquisition in the same period The research identified factors of long-term success for cross-border M&As. The results obtained suggest that acquiring firms engaged in cross-border M&As are able to realize efficiency gains and create value for their shareholders, under certain conditions: one when they possess high levels of R&D and secondly when the firm makes an acquisition in a related industry. These results were in accordance with the internalization theory of Buckley and Casson (1976) and Rugman (1981), which state that cross-border M&As help create value for acquiring firms by tapping into their expertise and know-how on international markets. While, Buy and Hold Returns were found to be substantially negative for the subgroup of firms that were larger in size as compared to firms that were relatively smaller in size. The size of the firm was negatively associated with performance of firms post an acquisition announcement and hence larger firms were more likely to fail in an acquisition as compared to smaller firms. Dissertation Layout: The first chapter of the dissertation titled ??Introduction?? primarily covered the conceptual framework, statement of problem and the objectives of the research. The second chapter ??Review of Literature?? covered the review of earlier literature on M&A performance and conclusions and gaps observed in the literature. The third chapter titled??Research Methodology?? covered the hypothesis, data collection and sample description and the methodology for data analysis. The fourth chapter ??Results and Findings?? covering results of the data analysis for the long term returns, strategic factors of M&A success, correlation analysis and regression analysis. The last chapter of the research ??Summary and Conclusions?? covered the summary of all the chapters, major findings of the study, the implications, limitations of the study and the conclusions drawn from the research. Keywords: Mergers and Acquisitions (M&A), cross border acquisitions, post-merger, Abnormal returns and Buy and Hold Abnormal Returns (BHAR), -
Cross Correlation Between Plasmaspheric Hiss Waves and Enhanced Radiation Levels at Aviation Altitudes
Enhanced radiation in the Earth's atmosphere can pose serious hazards to pilots, aircraft passengers, and commercial space travelers. Recent results have shown, statistically, that there is a strong correlation between dose rates observed by Automated Radiation Measurements for Aerospace Safety (ARMAS) instruments at aviation altitudes (>9km) and plasmaspheric hiss wave power measured by NASA's Van Allen Probes within the inner magnetosphere. Plasmaspheric hiss waves play a very important role in removing energetic electrons from the Earth's radiation belts by precipitating them into the upper atmosphere. These relativistic electrons generally drift eastwards along closed magnetic drift shells. In this study, we use magnetic conjunction events between ARMAS and the Van Allen Probes to analyze the causality between plasmaspheric hiss waves and enhanced radiation observed at aviation altitude. We specifically study how the size of the conjunction window and a shift in L and MLT of the conjunction window affect the correlation between dose rates and plasmaspheric hiss wave power. This is to determine if the observed enhanced radiation at aviation altitude is indeed caused by the plasmaspheric hiss waves in the inner magnetosphere. The results show that the enhanced radiation levels are only correlated with plasmaspheric hiss waves within conjunction windows of ?1 (Formula presented.) L (Formula presented.) 1 and 0 (Formula presented.) MLT (Formula presented.) 2. The correlation between dose rate and hiss wave power increases slightly if ARMAS is shifted approximately 1hr in MLT to the east of the Van Allen Probes, consistent with the drift trajectory of the electrons precipitating into the atmosphere. 2025. The Author(s). -
Cross diffusion effects on magnetohydrodynamic slip flow of Carreau liquid over a slendering sheet with non-uniform heat source/sink
Magnetohydrodynamic flow of Carreau fluid over a slendering sheet (variable thickness) has been numerically studied by considering the multiple slips effect. Thermosolutal boundary layer analysis is also accounted in the presence of cross diffusion and non-uniform heat source/sink. The governing nonlinear coupled partial differential equations are transformed to nonlinear coupled ordinary differential equations before being integrated numerically using RungeKutta based Newtons schemes. The effects of various parameters involved in the present problem were elaborately discussed with help of graphs and tables. The present results in a limiting sense are found to accord with the previous study. The present results indicate that the cross diffusion and slip parameters had a tendency to control the flow. The influence of slip is more evident in Carreau fluid case on contrast with the Newtonian fluid case. 2018, The Brazilian Society of Mechanical Sciences and Engineering. -
Cross layer design with weighted sum approach for extending device sustainability in smart cities
IoT associates with MEMS technology and various other technologies to connect smart devices globally. Providing reliable interaction between the smart devices and maintaining the battery sustainability of smart devices are the major demand since most of the IoT devices are run by a battery source. Device sustainability is the prime concern in most the IoT applications such as smart cities, e-health, smart grid, etc. Thus, we have come up with a cross layer design that improves the device sustainability and lifetime of the IoT networks in smart cities. In the proposed design, physical layer and data link layer information is utilized by the network layer to explore the energy efficient communication among the IoT devices, since 70% - 80% of device energy is utilized for its communication. Cross-layer design can be an optimal solution to enhance the modalities of the wireless network. The Weighted sum approach is used in the proposed model which is an effective computation method to analyze and identify the routing metrics that are associated with energy efficiency. Based on the routing metric analysis (Table 2) it is found that a particular combination of routing metrics performs effective power utilization (by attaining optimal transmission power) and achieves sustained device lifetime. From the obtained results, it is noticed that the MTPM + ETP + ND routing metric combination outperforms all the other combinations, and designing the cross-layer mechanism with the weighted sum approach computation gives better network performance without compromising the device lifetime. In smart cities applications, the device scalability is huge, since frequent battery replacement is a very difficult task. Therefore, we come up with an efficient network model that is more suitable to maintain device sustainability in smart cities. 2021 Elsevier Ltd -
Cross-Border Acquisitions and Shareholders Wealth: The Case of the Indian Pharmaceutical Sector
Cross-border acquisitions by Indian companies have increased tremendously, especially during the last two decades, and the pharmaceutical industry is one of the top acquiring industries. This study verifies the relationship between cross-border acquisitions and shareholders wealth in the Indian pharmaceutical sector. For this purpose, the data related to acquisitions were acquired from 2005 to 2019 and the event study methodology was applied along with two parametric tests. The findings of the current research prescribe that cross-border acquisitions have a positive and significant impact on shareholders wealth. Furthermore, the outcomes also indicate higher positive abnormal returns in the short run when the targets are based in the US and the UK as compared to the positive but insignificant abnormal returns when the targets are based in locations other than the US and the UK. 2022 by the authors. -
Cross-disciplinary collaborations and partnerships for sustainability education: Including community-based learning, industry partnerships, and international collaborations
Multidisciplinary collaboration is crucial to sustainable education. It places a strong emphasis on combining many academic disciplines to address complex environmental issues and promote sustainable lifestyles. Students can put their knowledge into practice and raise awareness of the world through community-based learning, corporate partnerships, and international collaborations. The chapter emphasizes effective methods for evaluating the effectiveness and impact of collaborative activities. It highlights how crucial innovation, knowledge sharing, and international cooperation are to building a sustainable future. Social justice, action-oriented learning, and lifetime professional growth are all components of sustainability education. Institutional barriers, cultural differences, and resource constraints impact these cooperative initiatives. Future generations' perceptions of the Earth can be affected via interdisciplinary collaboration and partnerships. 2024, IGI Global. All rights reserved. -
Cross-language contributions of rapid automatized naming to reading accuracy and fluency in young adults: evidence from eight languages representing different writing systems
Rapid automatized naming (RAN) is a strong predictor of reading across languages. However, it remains unclear if the effects of RAN in first language (L1) transfer to reading in second language (L2) and if the results vary as a function of the orthographic proximity of L1L2. To fill this gap in the literature, we examined the role of RAN in reading accuracy and fluency in eight languages representing different writing systems. Seven hundred and thirty-five university students (85 Chinese-, 84 Japanese-, 100 Kannada-, 40 Oriya-, 115 English-, 115 Arabic-, 105 Portuguese-, and 91 Spanish-speaking) participated in our study. They were assessed on RAN (Digits and Objects) and reading (accuracy and fluency) in both L1 and L2 (English). Results of hierarchical regression analyses showed significant effects of L1 RAN on L2 reading accuracy in the Chinese-, Portuguese-, and Spanish-speaking groups. In addition, L2 RAN was a significant predictor of reading fluency in L1 in the same language groups. No cross-language transfer was observed in the other languages. These findings suggest first that L1 and L2 RAN capture similar processes and controlling for one does not leave unique variance for the other to explain. Second, to the extent there is cross-language transfer of RAN skills, this appears to be independent of the orthographic proximity of the languages. 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. -
Cross-layer hidden Markov analysis for intrusion detection
Ad hoc mobile cloud computing networks are affected by various issues, like delay, energy consumption, flexibility, infrastructure, network lifetime, security, stability, data transition, and link accomplishment. Given the issues above, route failure is prevalent in ad hoc mobile cloud computing networks, which increases energy consumption and delay and reduces stability. These issues may affect several interconnected nodes in an ad hoc mobile cloud computing network. To address these weaknesses, which raise many concerns about privacy and security, this study formulated clustering-based storage and search optimization approaches using cross-layer analysis. The proposed approaches were formed by cross-layer analysis based on intrusion detection methods. First, the clustering process based on storage and search optimization was formulated for clustering and route maintenance in ad hoc mobile cloud computing networks. Moreover, delay, energy consumption, network lifetime, and link accomplishment are highly addressed by the proposed algorithm. The hidden Markov model is used to maintain the data transition and distributions in the network. Every data communication network, like ad hoc mobile cloud computing, faces security and confidentiality issues. However, the main security issues in this article are addressed using the storage and search optimization approach. Hence, the new algorithm developed helps detect intruders through intelligent cross layer analysis with the Markov model. The proposed model was simulated in Network Simulator 3, and the outcomes were compared with those of prevailing methods for evaluating parameters, like accuracy, end-to-end delay, energy consumption, network lifetime, packet delivery ratio, and throughput. 2022 Tech Science Press. All rights reserved. -
Cross-Modal Ingredient Recognition and Recipe Suggestion using Computer Vision and Predictive Modeling
This paper is focused on the development of a novel system known as 'IngredEye.' It involves various approaches that can be grouped into categories, such as computer vision, including YOLOv8, a KNN prediction model, and a Flutter framework that hosts all of them in a mobile application environment. Previous studies have analyzed the application of computer vision and OpenCV recognition in cooking and proved that such approaches could enhance the level of convenience in the culinary field. This paper addresses issues like changes in lighting, occlusions, and other factors that have to be solved by the algorithms envisaged for real applications. The objective of this paper solely relies on integrating the OpenCV object detection method with comprehensive machine learning techniques specialized for the culinary field. Presenting the end-user with recipe recommendations based on the visual input they have given. 2024 IEEE. -
Crossing numbers of complete bipartite graphs and complete graphs
The crossing number of a graph is the smallest number of two edge crossings over all planar representations of the graph. In this paper, we investigate the crossing numbers of complete bipartite and complete graphs. Further, we identify optimal drawings and present results on crossing numbers of these classes of graphs. In addition, Zarankiewicz's conjecture on complete bipartite graphs and Guy's conjecture on complete graphs are verified to be true. 2018 Sanjith Hebbar, Tabitha Agnes Mangam.