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Evaluation of tourism infrastructure around the ancient marvels of Mahabalipuram and Pattadakal
India is rich in culture and well-known for its mythological knowledge. It has plenty of architectural marvels recognized by UNESCO and maintained by the Archaeological Survey of India (ASI). For this chapter, two of the cultural UNESCO sites, Mahabalipuram and Pattadakal, have been taken as the scope of the chapter. The introduction section talks about the history of the monuments and provides a brief overview of the tourism infrastructure. The following section, evaluation of tourism infrastructure, aims to analyze Mahabalipuram and Pattadakal's tourism infrastructure using four parameters: transportation and connectivity, accommodation, gastronomical facilities, and tourist amenities. An observational study of the sites was conducted between December 2023 and January 2024. This is followed by the recommendations provided by the authors to improve the tourism infrastructure in these sites and, finally, the chapter's conclusion and future scope for researchers. 2024, IGI Global. All rights reserved. -
Evaluation of Virtual Reality Experiential Dimensions using Sentiment Analysis
Experiential technologies like Virtual Reality (VR) are revitalizing the gaming industries through higher immersive and interactive gaming experiences. The immersive technology has a considerable impact on the industry and will evolve simultaneously as the technology continues to update and improve further. Indian tech cities Bangalore, Delhi NCR, Mumbai, Kolkata, Chennai, Pune, and Hyderabad were chosen for the study and the user-generated content was scraped from the top gaming centers of each city. User Generated Content analysis is gaining immense interest among businesses for devising better decision-making and marketing strategies. The study devised an integrated framework comprised of web data scraping, data cleaning, data pre-processing, AI model designing, sentiment analysis, logistic regression model, and support vector machine model. Logistic Regression predicted the sentiment of the text and the Support Vector Machine classified the VR experiential dimensions and helped in understanding the most important dimension for customer satisfaction. The study has found that VR experiences are gaining positive responses among the customers and illusion emerges as the most significant dimension for their satisfaction. 2024 IEEE. -
Evaluation of web applications based on UX parameters
The objective of evaluating User Experience (UX) in this era of technology is to enhance the user satisfaction. Earlier applications were built with the aim of reducing the work of users. But with the evolution of the technology, the emergence of new gadgets and new trends in the information technology, the applications had to be more user-centric. The primary objective of this research is to evaluate the user experience of web applications based on different UX parameters using different techniques and given a rating. Each of these ratings are combined to determine the overall rating of UX for the web application. Also, the secondary objective of this research is to provide suggestions or recommendations based on the ratings to improve the UX of the web applications. An experimental study was conducted and the results show a significant improvement. Areas of further enhancements have also been identified and presented. 2019 Institute of Advanced Engineering and Science. -
Evaluation of Wound Healing Effect of Curcumin Loaded OPL Carbon Nanospheres Embedded Chitosan Membranes
Biowaste-derived carbon biomaterial scaffolds are being used for wound healing and are the focus of interest. Carbon nanospheres derived from oil palm leaves without any catalysts via pyrolysis were loaded with a traditional drug curcumin. The wound healing scaffolds were fabricated on the PP non-woven fabric support using chitosan as the biopolymer matrix. Prepared carbon nanospheres and the scaffolds were characterized using ATR-IR and FESEM techniques. The wettability of scaffolds was examined to ensure the feasible moisture absorption ability, in vitro drug release profile and in vitro antibacterial activity against two strains of bacteria. The in vivo wound healing feature of scaffolds was studied by excision wound model for MRSA infected wound. Measured wound contraction percentage and the bacterial count on wounds at regular time intervals proved that, the scaffold dressed with chitosan and curcumin loaded carbon nanospheres showed an efficient reconstruction of skin through histopathological investigations. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Evaluation on effect of alkaline activator on compaction properties of red mud stabilised by ground granulated blast slag
Any industrial waste has a potential to be used as a civil engineering material with an effective and appropriate waste management system. Like many industrial wastes, red mud (RM) and Ground granulated blast slag (GGBS) are some of the industrial wastes produced from aluminium and steel industries respectively. Utilization of only waste materials will not be effective without a suitable stabilizer, which forced to use an alkaline activator to satisfy the needs of a building materials. This paper evaluates measurements to assess the effect of alkaline activator on the compaction properties of GGBS stabilized RM. Different ratios of NaOH to Na2SiO3 was used as an alkaline activator with 10, 20 and 30 percentage replacement of GGBS to RM and measured the compaction properties by using a mini compaction apparatus. Upon conducting standard and modified proctor compaction tests for various combinations of RM and GGBS, the compaction curves depicted that huge variation in maximum dry density and optimum moisture content with the change of GGBS percentage and different ratios of NaOH to Na2SiO3 are measured and analysed. Further the influence of compaction energy on the density characteristics of these trails were assessed for better understanding. Copyright: This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. -
Evaluative study on supercapacitance behavior of polyaniline/polypyrrole metal oxide based composites electrodes: a review
Electricity is a versatile form of energy but suffers from a drawback in that it cannot be stored easily. Supercapacitors are devices that can address this problem. Fabrication of efficient supercapacitors is the need of the hour, which requires an intelligent selection of the electrode materials and electrochemical conditions. In this review, electrochemical studies and synthesis methods of polymer based metal oxide composites, especially polyaniline and polypyrrole, are discussed in detail. Various fabrication methods that are in use for the preparation of the supercapacitor electrodes are evaluated, which gives an idea of the selection of suitable materials for electrochemical applications. The supercapacitance studies of the reported works are also discussed, which help to understand the efficiency and working of different polymer based metal oxide composites for energy applications. Conducting polymers have good capacitance behavior but low cyclic stability. Incorporating metal oxides, graphene, noble metals, MXenes, and carbon nanotubes enhances the capacitance of conducting polymers. Polyaniline based electrodes show comparatively higher capacitance values compared to polypyrrole based electrodes. The types of supercapacitors, the importance of polymers in supercapacitance applications, and the improvement of the polymer substrates by using various materials like metal oxides to enhance the supercapacitance ability are discussed in depth in this review. 2023 Elsevier Ltd -
Evalutionary compting model for QoS provisioning in WiMAX
In recent time wireless technology is adopted widely for connecting remote user over network. WiMAX is an attractive technology for provisioning high data rate connectivity and coverage. QoS is a required parameter for analyzing the system performance. Before allocation of the bandwidth in the network, physical layer information is required for improving QoS performance. Many modulation techniques are used in WiMAX network. An adaptive approach is required for selection of modulation scheme to maximize network performance. Physical layer information is used for selection of modulation scheme. An adaptive genetic based scheduling is proposed in this paper for improved QoS. Experiments are conducted to evaluate performance of proposed approach in term of throughput, successful transmission and packet collision over existing approach. The outcome shows significant performance over existing approach. 2017 IEEE. -
Even Numbered Saturdays are More Joyful for Bank Employees in India - A Critical Analysis
Journal of Exclusive Management Sciences, Vol. 5, Issue 4, ISSN No. 2277-5684 -
Evidence Acquisition in Social Media for Cyber Crime
Social Media forensics a branch of forensics involves in collecting the evidences for the cyber crime. Investigating social media is a complex process which involves the privacy issues for accessing the users, suspects and victims information on social media. Manual processing of social media data is not feasible as it contains large volumes of data. An automated process is needed to incident specification, evidence extraction and for provenance. The need for handling heterogeneity of data as users have accounts with multiple social websites is also explained. This study briefs the existing models and the challenges faced in analyzing with those models. The research goals in this field are also addressed. A pool of tools which can contribute in guarding the solution for cyber crime is also presented. 2022 IEEE. -
Evidence and Predictors of Resilience among Young Adults Exposed to Traumatic Events of the Armed Conflict in Kashmir
No study to date exists regarding resilience in the context of armed conflict in Kashmir, India. Therefore, this study intended to understand the factors that predict resilience among young adults affected by the violence of the protracted conflict in Kashmir. The data were collected from 656 students, who experienced stress, related to the conflict. Findings showed that more than a quarter of the respondents (35.8%) were exposed, from 7 to 10, less than a quarter (16.6%) of participants reported 26, and almost half of the respondents (47.6%) were exposed to 11 or more stressful events related to the conflict in Kashmir. Multiple hierarchical regression analysis was used to examine the role of conflict exposure, social support, and demographic variables in predicting resilience. The results of the final regression model revealed that exposure to armed conflict, social support, level of education, monthly family income and gender, emerged as significant predictors of resilience. The study recommends the formulation of programs to sensitize people living in the areas affected by the armed conflicts, regarding the importance of social support and resilience, to help them withstand various adverse life experiences. 2021 Taylor & Francis Group, LLC. -
Evidence of microRNAs origination from chloroplast genome and their role in regulating Photosystem II protein N (psbN) mRNA
The microRNAs are endogenous, regulating gene expression either at the DNA or RNA level. Despite the availability of extensive studies on microRNA generation in plants, reports on their abundance, biogenesis, and consequent gene regulation in plant organelles remain naVve. Building on previous studies involving pre-miRNA sequencing in Abelmoschus esculentus, we demonstrated that three putative microRNAs were raised from the chloroplast genome. In the current study, we have characterized the genesis of these three microRNAs through a combination of bioinformatics and experimental approaches. The gene sequence for a miRNA, designated as AecpmiRNA1 (A. esculentus chloroplast miRNA), is potentially located in both the genomic DNA, i.e., nuclear and chloroplast genome. In contrast, the gene sequences for the other two miRNAs (AecpmiRNA2 and AecpmiRNA3) are exclusively present in the chloroplast genome. Target prediction revealed many potential mRNAs as targets for AecpmiRNAs. Further analysis using 5N RACE-PCR determined the AecpmiRNA3 binding and cleavage site at the photosystem II protein N (psbN). These results indicate that AecpmiRNAs are generated from the chloroplast genome, possessing the potential to regulate mRNAs arising from chloroplast gene(s). On the other side, the possibility of nuclear genome-derived mRNA regulation by AecpmiRNAs cannot be ruled out. 2024, Termedia Publishing House Ltd.. All rights reserved. -
Evidence-Based Interventions for Improved Psychosocial Outcomes in Harmful Alcohol Use: A Scoping Review
Background. Harmful alcohol use is defined as a drinking pattern that lasts at least one month or has occurred often during the preceding 12 months and that negatively impacts multiple facets of life. It has a high recurrence rate and a poor prognosis, despite the availability of cognitive-behavioral and psychosocial therapy. Emerging neuromodulation techniques for treating harmful alcohol use are gaining traction in the field of psychotherapy, but knowing their efficacy in terms of psychosocial outcomes necessitates an adjuvant approach. This scoping review aims to investigate the existing evidence on the effectiveness of various psychosocial interventions that improve quality of life (QoL) dimensions in conjunction with neurotherapies for individuals with harmful alcohol use. Methods. The review utilized a five-stage technique to search for research papers from 2000 to 2022. After screening and reviewing 41 full-text papers, 29 were found to meet the inclusion criteria. Conclusion. The articles highlighted the advantages of integrated therapeutic interventions such as motivation enhancement therapy, cognitive behavior therapy, neurotherapy, multimodal therapy, supportive therapy, and 12-step facilitation programs. However, limited studies have explored the effectiveness of combining neurotherapy with psychosocial interventions. Implications. Future research should focus on the efficacy of combining neurofeedback with psychosocial therapies to improve QoL for individuals with harmful alcohol use. 2024. Thakuria and Bennett. -
Evolution of primordial dark matter planets in the early Universe
In a recent paper we had discussed possibility of DM at high redshifts forming primordial planets composed entirely of DM to be one of the reasons for not detecting DM (as the flux of ambient DM particles would be consequently reduced). In this paper we discuss the evolution of these DM objects as the Universe expands. As Universe expands there will be accretion of DM, helium and hydrogen layers (discussed in detail) on these objects. As they accumulate more and more mass, the layers get heated up leading to nuclear reactions which burn H and He when a critical thickness is reached. In the case of heavier masses of these DM objects, matter can be ejected explosively. It is found that the time scale of ejection is smaller than those from other compact objects like neutron stars (that lead to x-ray bursts). These flashes of energy could be a possible observational signature for these dense DM objects. 2021 COSPAR -
Evolution of Single-Session Therapy: A Bibliometric Analysis
OBJECTIVE: This bibliometric analysis aimed to explore the publication and citation metrics of the research literature on single-session therapy (SST) to understand its current status, trends, and future prospects. METHODS: Seventy-five keywords were validated by subject matter experts. Publications from 1972 through September 2023 were extracted from the bibliometric website Lens.org. Publication trends, citation patterns, prominent journals, and influential authors were examined as part of the bibliometric analysis. Citation network analysis, bibliographic coupling of authors, and coauthorship network analysis were also performed. RESULTS: A total of 301 SST publications, including 18 books, 85 book chapters, and 176 journal articles, were found, published by 493 authors. The citation- and publication-related metrics suggested a growing level of subject matter expertise over time. Initially, single-author publications held more prominence than collaborative work, but this pattern shifted. From 2011 to 2020, scholarly interest surged, resulting in 144 publications during this period. CONCLUSIONS: This bibliometric analysis, the first systematic exploration of the SST knowledge base, can be used to expand and enrich future SST research. -
Evolution of Virtual Prey using a Virtual Predator
Can evolution happen on a computer is it possible for Images to evolve? This paper tries to show that Mother Nature has got it right and evolution is the future for programs. How many times will a new release come to solve my previous problem and in the process create new problems! Evolution can happen on a computer is very clear in this work titled Evolution of a Virtual Prey using a Virtual Predator. The Virtual Prey can evolve its skin color based on an Artificial Intelligent Virtual Predator. Monochrome patterns have evolved very successfully. Some repeatable patterns in the Brodatz Texture Database have also evolved. Charles Darwin in his famous book Origin of Species suggests that evolution takes place using a method he termed Natural Selection. Survival of fittest has to be considered in context of the environment in which the species are living. One of the criteria of survival depends on whether the specie was able to propagate before it was hunted down by a predator. For example the skin color of a prey like an insect evolves to match the background it is living on such that the predators like birds and frogs will not detect them. Assume there are thousand insects on a surface and if nine hundred and ninety are eaten over a period of time are eaten. Then the last 10 will be those which have got skin color, pattern, and texture closest to the original. Some findings have been in the comparison of different genetic operators to evolve specie. Use of Mutation and Crossover operator is critical. Some level of continuation is required in the next generation to maintain and not lose the quality which has been already attained. The number of generations required depend on DNA length and on the correct use of these three parameters.. The runtime from thirty minutes has been reduced to ten minutes to evolve specie of 100 plus variables in the DNA of the images. If we are ready to run the program for a day on multiple machine in parallel then the possibilities of great diversity is very much possible. The predator will be an algorithm which tries to do a basic computer vision operation of correlating two images and ranking them. Then it eliminates a certain percentage of the population. The dissertation is broken down in chapters. Chapter 1 gives the Introduction and Chapter 2 gives an idea of what all research is happening in this area. Chapter 3 is the core content of my work and it shows the different approaches I have used to evolve textures, the use of different operators. This chapter is followed by the testing I had to do due to the complexity of the application and high chance of error creeping into the results. An idea of the application can be got from the Appendix where I have given a walk through of the Zing World -
Evolution, Trends, and Future Developments of Business Intelligence
A decision-making process backed by the integration and evaluation of an organization's data resources is referred to as business intelligence. Since information has been recognized as a business's most valuable asset, it is a crucial resource for its growth and plays an increasingly important role in a variety of organization kinds. This research article examines the history of business intelligence technologies, their relevance in current times, and all the future developments that seem possible. Organizations are transforming into various approaches based on the information and networking in the twenty-first century in response to a chaotic and ambiguous environment marked by hazy organizational boundaries and rapid change. Knowledge-based assets become apparent to be the core of long-term strategic edge and the cornerstone of success in the twenty-first century in such situations. The primary characteristics of business intelligence are determined by data analysis, processing, and visualization. Relational tables are used by business intelligence technologies to store and display a lot of organized and unstructured data. They utilize specialized tools and mathematics to produce intricate visual reports. This research has been aggravated to focus on the upcoming strategic revolution in the market with numerous cutting-edge business intelligence technologies. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Evolutionary algorithm based feature extraction for enhanced recommendations
A major challenge to Collaborative Filtering systems is high dimensional and sparse data which they have to deal with. Feature selection techniques partly address this problem by reducing the feature space and retaining only a representative subset of features. However these techniques do not address the sparsity problem which affects both quality and quantity of recommendations. A more promising direction would be to construct/extract new features which are low dimensional, dense and have more discriminative power. Content based construction of features has been explored in the past. This work proposes a evolutionary algorithm based feature extraction techniques which discover hidden features with high discriminative capacity. Such an approach offers the advantage of discovering features even in the absence of additional information such as item contents etc. The proposed approach is contrasted with content based feature extraction techniques through experiments and the ability of the new approach in discovering interesting and useful features is established. -
Evolutionary multiple instance boosting framework for weakly supervised learning
Multiple instance boosting (MILBoost) is a framework which uses multiple instance learning (MIL) with boosting technique to solve the problems regarding weakly labeled inexact data. This paper proposes an enhanced multiple boosting frameworkevolutionary MILBoost (EMILBoost) which utilizes differential evolution (DE) to optimize the combination of weak classifier or weak estimator weights in the framework. A standard MIL dataset MUSK and a binary classification dataset Hastie_10_2 are used to evaluate the results. Results are presented in terms of bag and instance classification error and also confusion matrix of test data. 2021, The Author(s). -
Evolutionized industry with the Internet of Things
Technological development has led us to various paths. Though each technological change has evolved in its own space and time, it resulted in amenities and a pragmatic approach to problem-solving. One such technology is the "Internet of Things" - IoT which was coined in the year 1999 by a computer scientist called Kevin Ashton. Despite its start in the late 90s, it has come a long way to achieve the status of 10 Billion active IoT devices by the end of 2021, with the IoT solutions costing an estimated economic value of 4-11 trillion by 2025. 2023, IGI Global.