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Enhancements to greedy web proxy caching algorithms using data mining method and weight assignment policy
A Web proxy caching system is an intermediary between the users and servers that tries to alleviate the loads on the servers by caching selective Web objects and behaves as the proxy for the server and service the requests that are made to the servers by the users. In this paper the performance of a proxy system is measured by the number of hits at the proxy. A higher number of hits at the proxy server reflects the effectiveness of the proxy system. The number of hits is determined by the replacement policies chosen by the proxy systems. Traditional replacement policies that are based on time and size are reactive and do not consider the events that will possibly happen in the future. The outcomes of the paper are proactive strategies that augment the traditional replacement policies with data mining techniques. In this paper, the performances of the greedy replacement policies such as GDS, GDSF and GD* are adapted by the data mining method and weight assignment policy. Experiments were conducted on various data sets. Hit ratio and byte hit ratio were chosen as parameters for performance. 2018 ISSN. -
Functional characterization of Malabar grouper (Epinephelus malabaricus) interferon regulatory factor 9 involved in antiviral response
IRF9 is a crucial component in the JAK-STAT pathway. IRF9 interacts with STAT1 and STAT2 to form IFN-I-stimulated gene factor 3 (ISGF3) in response to type I IFN stimulation, which promotes ISG transcription. However, the mechanism by which IFN signaling regulates Malabar grouper (Epinephelus malabaricus) IRF9 is still elusive. Here, we explored the nd tissue-specific mRNA distribution of the MgIRF9 gene, as well as its antiviral function in E. malabaricus. MgIRF9 encodes a protein of 438 amino acids with an open reading frame of 1317 base pairs. MgIRF9 mRNA was detected in all tissues of a healthy M. grouper, with the highest concentrations in the muscle, gills, and brain. It was significantly up-regulated by nervous necrosis virus infection and poly (I:C) stimulation. The gel mobility shift test demonstrated a high-affinity association between MgIRF9 and the promoter of zfIFN in vitro. In GK cells, grouper recombinant IFN-treated samples showed a significant response in ISGs and exhibited antiviral function. Subsequently, overexpression of MgIRF9 resulted in a considerable increase in IFN and ISGs mRNA expression (ADAR1, ADAR1-Like, and ADAR2). Co-immunoprecipitation studies demonstrated that MgIRF9 and STAT2 can interact in vivo. According to the findings, M. grouper IRF9 may play a role in how IFN signaling induces ISG gene expression in grouper species. 2024 Elsevier B.V. -
A Study on psycho-social problems of persons with chronic renal failure with specific reference to bangalore cosmopolitan city
The present research is an attempt to describe the psychosocial problems faced by individuals with chronic renal failure in Bangalore cosmopolitan city. The aim of the study was to describe the level of psycho social problems experienced by them and to develop a psychosocial intervention programme to address this issue. The researcher adopted newlinedescriptive research design. The sample of 200 individual with chronic renal failure was newlineselected with consecutive sampling technique from St. John s Hospital and Medical College, newlineJayanagar Government Hospital and Manipal Hospital. The researcher used structured newlineinterview schedule to collect the data; to study the psychosocial problems, Psychosocial newlineAssessment Tool (PAT-5)-A measure of psychosocial problems in Haemodialysis Patients (Kansal, 2010) was adopted. newlineThe results of the study depict that, in the health awareness domain more than half (52%) of the patients were having moderate level of problems and 13.5% reported severe level of newlineproblems. In the occupational domain, three fourth (75.5%) of the patients reported severe level of problems; in family and social domain, nearly half of the patients (46%) reported severe level of problems. In the financial domain, two third (66%) reported severe problems. In the psychological domain it is seen that near about half (41%) reported severe level of newlinepsychological distress. The overall psychosocial score of the patients reveal that nearly half (47.5%) of patients felt severe level of psychosocial problems. Based on the finding of the study, needs assessment and discussion with the experts in the field a psychosocial intervention programme has evolved. It is suggested that effective use of this intervention programme can reduce the psychosocial problems faced by the patients and lead to better clinical outcomes. -
Portrayal of Pakistanis in Kabir Khan films /
The Bollywood cinema has metamorphosed into an abiding passion for audience all over the world cutting across demographic and political boundaries. Besides the rather visible signs of the extensive hold that mainstream Hindi cinema has on Particularly the Indian society, the fact remains that, contemporary commercial Hindi films have reflected political and social concerns of all the time. -
Exploring the Professional Problems Faced by Beginning Counsellors
Counselling Education at a Post-graduate level is of recent origin in India. Every year a number of students who complete their Post-graduate studies (M.Sc.) in Counselling get employed in various settings. As trainees their issues related to practice of counseling get addressed in training sessions, in supervision and through other means like personal therapy. Nothing is conclusively known about their status as beginning counselors. The aim and objectives of the study were exploring the professional problems faced by beginning counselors and the ways in which they are coping with them and their suggestions to cope as individuals and the ways in which the training institutes could help them to cope. The study was done by conducting two focus group discussions (FGD) of six beginning counselors and personal in-depth interviews of three beginning counselors who were working in different settings like Clinical-rehab, School and Employee Assistance Programme (EAP). While three school counsellors, two counsellors working in clinical-rehab settings and one EAP counsellor formed the participants of FGD, one counsellor from each of these settings who was not part of FGD was interviewed personally. While for the FGDs, the researcher used the self-constructed guide, for the interviews, the findings of FGD data which formed the Interview Schedule. Both the FGDs and the interviews were audio-recorded and transcribed and analyzed with conventional content analysis. Data from both the FGDs and interviews were included to form the Results. The findings show the various professional problems faced by the beginning counselors and the coping strategies used by them and their suggestions for coping with their professional problems at an individual level and at an institutional level. Implications for professional development, training of counsellors and scope for future research are presented. Key Words: Beginning Counsellors, Professional Problems, Coping, Professional Development. -
Machine Learning in Financial Distress: A Scoping Review
Predicting financial distress is crucial for stakeholders, policymakers, governments, and management in decision-making processes. Researchers have developed various prediction models encompassing both traditional and machine-learning approaches. Notably, recent attention has shifted towards employing machine learning models to address the limitations of traditional methods. This study seeks to offer insights into current trends, identify gaps, and suggest future research directions using machine learning models for financial distress prediction, employing the PRISMA Extension for Scoping Reviews methodology. To achieve this, a comprehensive search was conducted across three databasesScience Direct, EBSCO, and ProQuestspanning from 2020 to 2023, identifying 34 relevant articles for analysis. The findings underscore the prevalent use of Support Vector Machine in financial distress prediction, followed by the Random Forest Classifier and Artificial Neural Network, with little attention paid to other models. Furthermore, the study underscores the necessity for more research in developing countries, noting the predominance of studies from developed nations. While machine learning models hold promise for enhancing the accuracy and efficiency of financial distress prediction, additional research is imperative to evaluate their effectiveness and applicability across diverse contexts. This scoping review aims to furnish researchers, policymakers, and institutions with valuable insights and policy recommendations, shedding light on underexplored machine-learning techniques. 2024, Iquz Galaxy Publisher. All rights reserved. -
Chernobyl Disaster Optimizer-Based Optimal Integration of Hybrid Photovoltaic Systems and Network Reconfiguration for Reliable and Quality Power Supply to Nuclear Research Reactors
In view of the complexity and importance of nuclear research reactor (NRR) installations, it is imperative to uphold high standards of reliability and quality in the electricity being supplied to them. In this paper, the performance of low-voltage (LV) distribution feeders integrated with NRRs is improved in terms of reduced distribution loss, improved voltage profile, and reduced greenhouse gas (GHG) emissions by determining the optimal location and size of photovoltaic (PV) systems. In the second stage, the power quality of the feeder is optimized by reducing the total harmonic distortion (THD) by optimally allocating D-STATCOM units. In the third and fourth stages, the reliability and resilience aspects of the feeder are optimized using optimal network reconfiguration (ONR) and by integrating an energy storage system (ESS). To solve the non-linear complex optimization problems at all these stages, an efficient meta-heuristic Chernobyl disaster optimizer (CDO) is proposed. Simulations are performed on a modified IEEE 33-bus feeder considering the non-linear characteristics of NRRs, variability of the feeder loading profile, and PV variability. The study reveals that the proposed methodology can significantly improve the service requirements of NRRs for attaining sustainable research activities. 2024 by the authors. -
Eye-Tracking Measures in Aviation: A Selective Literature Review
Objective: The aim of this article is to present a comprehensive review of eye-tracking measures and discuss different application areas of the method of eye tracking in the field of aviation. Background: Psychophysiological measures such as eye tracking in pilots are useful for detecting fatigue or high-workload conditions, for investigating motion sickness and hypoxia, or for assessing display improvements and expertise. Method: We review the uses of eye tracking on pilots and include eye-tracking studies published in aviation journals, with both a historical and contemporary view. We include 79 papers and assign the results to the following three categories: Human performance, aircraft design, health and physiological factors affecting performance. We then summarize the different uses of eye tracking in each category and highlight metrics which turned out to be useful in each area. Our review is complementary to that of Ziv (2016). Results: On the basis of these analyses, we propose useful application areas for the measurement of eye tracking. Eye tracking has the potential to be effective in terms of preventing errors or injuries by detecting, for example, fatigue or performance decrements. Applied in an appropriate manner in simulated or real flight it can help to ensure optimal functioning of manmachine systems. Conclusion: Further aviation psychology and aerospace medicine research will benefit from measurement of eye movements. 2018, 2018 The Author(s). Published with license by Taylor and Francis Group, LLC. -
Understanding Agape Leadership: A Scoping Review
Agape, a Greek term for unconditional love, is often overlooked in the context of leadership, which has traditionally emphasized control and dominance. Agape leadership is a type of leadership that places the well-being and growth of individuals, communities, and society at the forefront. This style of leadership is characterized by a profound sense of compassion and consideration for others and is grounded in the principles of love, compassion, and empathy. This paper reviews the literature on agape leadership, exploring how it is conceptualized, practiced, and studied. The review finds that agape leadership is linked to favourable results, including increased trust, motivation, performance, respect, and collaboration, in which people can thrive and reach their full potential. This style of leadership is not only focused on achieving specific goals or outcomes, but also on fostering a sense of purpose, meaning, and fulfilment in the lives of those being led. The leadership style of agape can bring about enduring and constructive transformations in society as it motivates and galvanizes individuals to collaborate toward a collective aspiration of a more promising tomorrow. Agape leaders also place a high value on personal growth and development and are constantly seeking to learn and grow in their own leadership journey. 2023 Open Access/Author/s - Online @ http//: www.pharosjot.com -
Miniaturized Band Stop Frequency Selective Surface for Stable Resonance Characteristics
In this paper, miniaturized 7.45 GHz resonant frequency band stop frequency selective surface (FSS) is designed. The unit cell dimensions of designed FSS is only about 0.1?0 at the 7.45 GHz. Proposed design involves a crossed dipole metallic element together with meander shape on the substrate. Simulation results provide about 800 MHz bandwidth (7.1 GHz-7.9 GHz) with-20 dB insertion loss. The FSS properties are studied on a unit cell using electromagnetic (EM) solver to observe the characteristics. Proposed FSS demonstrates a stable resonance frequency behavior for the arbitrary angle of incidences in both the polarizations such as TM and TE modes. Thus, the design holds a polarization independent characteristic for all incident angles and polarizations. Finally, the FSS properties are validated by a fabricated array of 311 mm2. 2018 IEEE. -
Ceramic-Polymer-Carbon Composite Coating on the Truncated Octahedron-Shaped LNMO Cathode for High Capacity and Extended Cycling in High-Voltage Lithium-Ion Batteries
Long-term electrochemical cycle life of the LiNi0.5Mn1.5O4 (LNMO) cathode with liquid electrolytes (LEs) and the inadequate knowledge of the cell failure mechanism are the eloquent Achilles heel to practical applications despite their large promise to lower the cost of lithium-ion batteries (LIBs). Herein, a strategy for engineering the cathode-LE interface is presented to enhance the cycle life of LIBs. The direct contact between cathode-active particles and LE is controlled by encasing sol-gel-synthesized truncated octahedron-shaped LNMO particles by an ion-electron-conductive (ambipolar) hybrid ceramic-polymer electrolyte (IECHP) via a simple slot-die coating. The IECHP-coated LNMO cathode demonstrated negligible capacity fading in 250 cycles and a capacity retention of ?90% after 1000 charge-discharge cycles, significantly exceeding that of the uncoated LNMO cathode (a capacity retention of ?57% after 980 cycles) in 1 M LiPF6 in EC:DMC at 1 C rate. The difference in stability between the two types of cathodes after cycling is examined by focused ion beam scanning electron microscopy and time-of-flight secondary ion mass spectrometry. These studies revealed that the pristine LNMO produces an inactive layer on the cathode surface, reducing ionic transport between the cathode and the electrolyte and increasing the interface resistance. The IECHP coating successfully overcomes these limitations. Therefore, the present work underlines the adaptability of IECHP-coated LNMO as a high-voltage cathode material in a 1 M LiPF6 electrolyte for prolonged use. The proposed strategy is simple and affordable for commercial applications. 2024 The Authors. Published by American Chemical Society. -
Physicochemical Properties, Chemical Composition and Antioxidant Activities of Artemisia pallens Wall. Seed Oil
The physico-chemical characteristics, fatty acid composition and antioxidant capacities of Artemisia pallens seed oil were determined in this study. The moisture, oil content, fatty acid, iodine, peroxide, saponification values, specific gravity and refractive index were 4.13 %, 25.53 %, 1.84 % (as oleic acid), 138.14 (mg/ l00 g), 10.20 (meqO2/kg oil), 194.21 (mg KOH/g oil) 0.92 and 1.47, respectively. Linoleic acid (C18:2, 79.963 %), oleic acid (C18:1, 9.40 %) and palmitic acid (C16:0, 7.89 %) were the major fatty acids. High amount of total unsaturated fatty acids (89.74 %) make it highly desirable as a source of nutrition. The antioxidant capacities of the seed oil showed that it can be a source for natural antioxidants and functional food. The results of the present study showed that the A. pallens is a promising seed oil crop and can be used for making of soaps, shampoos and alkyd resins. Further, the high amount of polyunsaturated fatty acid i.e. linoleic acid makes it desirable in terms of nutrition. 2019, 2019 Har Krishan Bhalla & Sons. -
Impact of knowledge management on organizational performance: An application of structural equation modeling
Purpose: The purpose of this paper is to explore the dynamic relationships among the essential knowledge management (KM) constructs, i.e. strategy, enablers and processes, and to establish their links to organizational performance using a holistic integrated model. Design/methodology/approach: The structural equation modeling approach was used in the research study. The primary data were collected from IT managers in Indian software firms. Findings: The study successfully tested an integrated KM model in an Indian scenario. The study found that the KM strategy, enablers and processes had a significant positive relationship with the organizational performance. An appropriately designed KM strategy significantly influenced the KM enablers and KM process. KM enablers nurtured in an organization positively impacted the KM process. Furthermore, the KM process partially mediated the relationship between the KM strategy and organizational performance, and partially mediated the relationship between KM enablers and organizational performance. Originality/value: This study is one of the few to empirically establish how the essential KM constructs of strategy, enablers and processes together impact organizational performance. 2019, Emerald Publishing Limited. -
Environmental Reporting Practices : Evidence From Indian Commercials Banks
The last decade has witnessed increasing concern towards the environment due to the ravages inflicted on them by mankind. With the concept of sustainable development perpetually growing over the years, global institutions have been acknowledging their other duties towards the society, and have been integrating environmental practices into their strategic framework to significantly contribute to the sustainable bandwagon. However, since the financial crisis of newline2008, it has been found that banking institutions have become active participants in fostering environmental sustainability. Also, due to the increased awareness and pressure from the stakeholders, these institutions have been reporting their environmental initiatives and practices in their bank reports and websites. The extensive review of the literature reveals that there are hardly any studies that have been carried out in the Indian context, pertinently in the banking sector. Therefore, considering this as a major research gap, the present study aims to comprehensively evaluate the environmental reporting practices of selected commercial banks in India for the period from 2011 to 2022. newlineThis study follows an explorative and descriptive research design, with a deductive research approach. However, this research is based on secondary data, and adopts both qualitative and quantitative research methods. Following the judgmental sampling technique, the sample of the study consists of thirty public and private commercial banks in India. The content analysis technique has been adopted to extract environmental information from bank reports and websites using the developed environmental reporting index. The independent sample t-test is newlineused to compare the environmental reporting performance of public and private-sector newlinecommercial banks. This study analyses the relationship between environmental reporting and bank-specific characteristics using the Pearson correlation coefficient analysis. -
Explainable AI Method for Cyber bullying Detection
People of all ages and genders are using social media platforms to engage themselves in all sorts of activities. People create profiles on online social networks in order to communicate with one another in this virtual environment. Hundreds or thousands of friends and followers are split across many profiles. Along with the virtual communication in this social media life, cyber-crimes also creep in many distinguished forms to grab user's information and emotionally degrade them with harassment and arrogant behavior. A set of machine learning methods are proposed and used to detect such a bullying behavior. Along with the detection of such an act, the model should also provide the logical reasoning of the evidence extracted. The explain ability of the models classification will give us a view of the way towards portraying a suspect as a bullier. This paper illustrates a machine learning model that works on a twitter data set to suggest the tweets as category bullying or non-bullying. LIME a tool to predict the interpretability of the model is used to depict the performance of model and provides explainability. 2022 IEEE. -
An AI-Based Forensic Model for Online Social Networks
With the growth of social media usage, social media crimes are also creeping sprightly. Investigation of such crimes involves the thorough examination of data like user, activity, network, and content. Although investigating social media looks quite straight forward process, it is always challenging for the investigators due to the complex process involved in it. Due to the immense growth of social media content, manual processing of data for investigation is not possible. Most of the works from this area provide an automatic model or semi-automated, and much of the contributions lacks the logical reasoning and explainability of the evidence extracted. Searching techniques like entity-based search and explainable AI add value to the quick retrieval within appropriate scope and explain the results to the court of law. This paper provides a model by adding these new techniques to the basic forensic process. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
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. -
Machine Learning Methods to Identify Aggressive Behavior in Social Media
With the more usage of Internet and online social media, platforms creep with lot of cybercrimes. Texts in the online platforms and chat rooms are aggressive. In few instances, people target and humiliate them with the text. It affects victim mental health. Therefore, there is a need of detecting the abuse words in the text. In this paper, a study of machine learning methods is done to identify the aggressive behavior. Accuracy can be improved by incorporating additional features. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
The linkage between green banking practices and green loyalty: A customer perspective
The aim of this study is to explore the bank customers perceptions towards green banking practices. This study uses a convenient sampling method. Pre-tested questionnaires were employed to collect data. The data were collected conveniently from 358 bank customers. However, the final sample includes 304 responses after ignoring null responses (n = 304). The Structural equation modeling (SEM) was applied for the analyses. The significant results of the study indicate that green banking practices positively influence green image (p = 0.001) and green trust (p = 0.025), while it does not significantly affect green loyalty (p = 0.642). The mediation analysis reveals that green image mediates the relationship between green banking practices and green loyalty, while green trust does not mediate the relationship between the same. The results have practical implications for banking institutions in India to recognize the importance of environmental initiatives in influencing the decisions of bank customers. Deepthi S. Pawar, Jothi Munuswamy, 2022. -
Do Bank Characteristics Really Matter for its Environmental Reporting?
The last few decades have seen an increasing number of researches in the area of environmental reporting. Institutions across the globe have been extensively reporting their environmental initiatives through their annual reports. There is a dearth of research on environmental reporting in the Indian context. Thus, this study comprehensively analyzes the environmental reporting practices of scheduled banks in India. It further attempts to explore the association between environmental reporting and bank characteristics. The secondary data is collected from the annual reports, sustainability reports, and business responsibility reports for the period 2017-2022. The sample consists of ten top-rated commercial banks chosen based on market capitalization during June 2022. The content analysis technique is used to extract information on environmental practices under twelve major categories. This study employs correlation analysis to examine the association between environmental reporting and bank characteristics. The findings of this study reveal that Indian commercial banks are increasingly reporting environmental information in their bank reports and websites. Further, the results of correlation analysis revealed a significant association between environmental reporting and the banks' age, size, and profitability. Further, this study recommends policymakers and concerned professional bodies introduce additional environmental guidelines and widen the scope of reporting in the banking industry. 2024 National Institute of Science Communication and Policy Research. All rights reserved.