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Crossing Worlds and Resisting Power: Fantasy and Metaphorical Borders in Srivatsa and Karunatilaka
The act of crossing and navigating physical, cultural, and symbolic borders has a profound impact on the shaping of identities, with a focus on the dynamics of resistance and power. By analyzing, through the lens of Critical Discourse Analysis (CDA), the experiences of characters portrayed in select Fantasy Fiction [The Spice Gate by Prashanth Srivatsa (2024); and The Seven Moons of Maali Almeida by Shehan Karunatilaka (2022)] in navigating borders-whether literal or metaphorical-the chapter studies how these crossings challenge fixed notions of identity and belonging. The protagonists of the chosen Fantasy works stem from both highly marginalized communities: the lower castes in India, and the more universally discriminated LGBTQIA+ people. Drawing on interdisciplinary perspectives pertaining to gender, sexuality, caste, oppression, and resistance, the chapter examines the act of border-crossing to illuminate the interplay between Self and Other, belonging and alienation, while confronting structures of power and oppression. 2026 by IGI Global Scientific Publishing. All rights reserved. -
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. -
Cross-Platform vs. Native Mobile Development: A Comprehensive Study Using an Expense Tracker Application
In this paper, the Native Android, Flutter, and React Native are compared in an empirical way with the help of an Expense Tracker application on Android (Pixel 6, Android 14). The Native, Flutter, and React Native had an average start up time of 1.5 s, 2.4 s, and 3.0 s respectively. Maintainability Indexes and SUS scores demonstrate that Flutter provides efficiency without affecting the code quality. It was measured using standardized tools Android Studio Profiler, Trepn Profiler and SonarQube to measure performance, scalability and security. Findings show that Native Android provides the best performance and security, and Flutter is 35 times faster to develop and has a well-maintained code. Results guide the choice of frameworks by practitioners. 2025 IEEE. -
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. -
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-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-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-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 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 Domain Lexicon Transfer -A Case Specific to Application in Banking Domain
This study demonstrates the development of the financial domain lexicon and the implementation of the same in the banking sector. The study compared the working of Financial Nae Bayes Lexicon (FNB Lex) developed with 533 quarterly Earnings Call Transcript (ECT) of 16 software companies, with standard available dictionaries like VADER and Loughran-McDonald. The study showed VADERs poor discriminatory power and Loughran-McDonald with satisfactory performance. FNB Lex lexicon performed better and provided better lift over VADER and Loughran-McDonald with improved precision, recall and F1-score. 2025 IEEE. -
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 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 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 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), -
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. -
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 Disease and Pest Management in Agriculture via UAV Remote Sensing and Advanced Machine Learning Models
Pests and diseases greatly reduce crop quality and yield; therefore, IA relies on effective pest and disease control. UAVs have become a crucial remote sensing (RS) tool for agricultural process monitoring and management. This study will examine major advances in this field using bibliometric methodologies including author co-occurrence and keyword co-contribution studies. The suggested technique involves preprocessing, feature extraction, and model training. Data quality improves with preprocessing. UAV images are used for feature extraction, focusing on canopy structure and height. PPO is trained the prediction model. Compared to ultramodern GANs and LSTM networks, the recommended model wins. The model consistently outperforms competitors with 91.17 percent accuracy. The study suggests employing UAVs in smart farming to reduce pests and diseases. The suggested model's accuracy and reliability improve crop quality and production by solving agricultural monitoring and management problems. 2025 IEEE. -
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. -
Critiquing the Regulation of Sand Mining in India: The Role of Social Workers
The soaring demand for sand driven by rapid urbanisation, population growth and increased global investment in infrastructure has intensified sand mining activities worldwide, with current extraction rates exceeding natural replenishment. The Government of India has strengthened legislation by amending existing laws and formulating new guidelines to govern sand mining operations. However, sand mining activities, both legal and illegal, have continued unabated, leading to various consequences across the country. The prevailing laws in India appear to be stringent but have failed in effective implementation at the grassroots level. Therefore, illegal and irregular sand extraction operations have continued to occur at an accelerated pace. The observations indicate that regulatory authorities are merely symbolic and ineffective in controlling and monitoring sand mining operations effectively at the community level. Further, the inefficiency of authorities has facilitated indiscriminate and illicit sand mining operations, resulting in significant social, economic and ecological repercussions. Considering these aspects, the present study advocates the use of social work methods, such as community organisation, social work research and social action, to address the issue effectively. Furthermore, it urges local authorities and policymakers to take action by setting up vigilance committees in every community, so that people themselves can monitor sand mining and protect their surroundings more effectively. The Author(s) 2026 -
Critique of normality in Cormac McCarthy's Suttree
[No abstract available]