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A critical analysis of the complexity of leadership in zimbabwean anglican churches
This study examines the leadership controversy in the Anglican Churches of newlineZimbabwe and evaluates the extent to which the exigencies of power impacted upon this newlineconflict. This study is necessitated by the fact that the Anglican Church Province of Central Africa has been affected by an unprecedented conflict hinged on leadership wrangle and a crisis of legitimacy. This has resulted in the excommunication of Bishop of the diocese of Harare who had deliberately withdrawn from the Anglican international communion to form the province of Zimbabwe. Key to this dispute was the allegation of gay marriages presumably blessed by the Church of the Province of Central Africa (CPCA) although it appears that there were other multifarious factors behind the controversy. Given this background, this study seeks to present a critical exploration of the cardinal factors at play within the context of the Episcopalian polity and try to link church governance and ecclesiology to the context of the Anglican conflict in Zimbabwe. It should be appreciated that, as the world is setting into the 21st Century and Globalization becomes inescapable, a new breed of leaders and leadership paradigm is needed in Christian organizations. There is newlinea general consensus among scholars that the term leadership can be defined from various newlinevantage points. But for the purposes of this study, the term leadership designates the art of inducing competence, an instrument of goal achievement, a form of persuasion. Leadership newlineis the most important factor determining the future of any organization. The style of newlineleadership in a religious organization is a critical determinant in enhancing the stability and growth of the church. To this end, leadership has to do with the manner and approach of providing direction, implementing plans for institutional development, staff development progress in pursuit of organizational excellence. -
The Empirical Analysis of Machine Learning Approaches for Enhancing the Cyber security for better Quality
In recent years, there have been significant advances in both technologies tactics so in area of cyber security, with (ML) machine learning at the forefront of the transformation. It is the ability to obtain security event characteristics or findings from cyber security information and then develop a matching information model that will allow a security system to become autonomous and smart. The widespread proliferation and the usage of Web and Smartphone applications has increased the size of cyber world as a consequence. When a computerized assault takes too long to complete, the internet becomes vulnerable. Security measures may be improved by recognizing and reacting to cyber-attacks, thanks to cyber security techniques. Security measures that were previously used aren't any longer appropriate because scammers have learned how to evade them. It is getting more difficult to detect formerly unknown and unpredictable security breaches, which are growing more widespread. Cyber security is becoming more dependent on machine learning (ML) techniques. Machine learning algorithms' dependability remains a major challenge, given its continual advancement. It is possible to find malicious hackers in internet that are ready to exploit ML defects that have been made public. A thorough review of machine learning techniques safeguarding cyberspace against attacks is provided in this paper, which presents a literature review on Cyber security using machine learning methods, such as vulnerability scanning, spam filtering, or threat detection on desktop networks as well as smart phone networks. Among other things, this paper provides brief descriptions of each machine-learning technique and security info, essential machine-learning technology, and evaluation parameters for a classification method. 2022 IEEE. -
The Truncated Modified Lindley Generated Family of Distributions
In this paper, two contributions to the modified Lindley distribution are provided. First, we bend the truncation scheme to this model to introduce a new distribution on the interval (0, 1). Theory and practice are provided. In particular, we show that it can be an interesting alternative to the analogous truncated exponential and Lindley distributions. Then, we employ this truncated distribution to develop a new generalized family of distributions. We examine its main theoretical properties, and show how it can be applied quite efficiently to analyse various data sets. 2023 Mir Masoom Ali, Irfan Ali, Haitham M. Yousof and Mohamed Ibrahim. -
Power quality improvement strategy for non-linear load in single phase system
Widespread use of non-linear loads in today's world scenario, increased the harmonic current injection into the grid. The harmonic current play a vital role in deteriorating the power quality of the grid. The non-linear loads may be either, single phase or a Three phase loads. In this paper, a control strategy for single phase shunt active filter is discussed, in mitigating the harmonics flowing into the grid. The extraction of reference signal of shunt active filter is designed, using instantaneous reactive power theory. Here load is considered as diode rectifier which is feeding a resistive inductive load. A complete control strategy and analysis is done in MATLAB/Simulink environment. 2016 IEEE. -
Entomotoxic proteins of Beauveria bassiana Bals. (Vuil.) and their virulence against two cotton insect pests
Entomopathogenic fungi are widely used as biocontrol agents against several agricultural pests. Among them, Beauveria bassiana is considered the important one against insect and other arthropod pests. The entomotoxic proteins of B. bassiana were extracted by Sephadex G-25 column, and fractionated using HPLC (BBI, BBII and BBIII) and tested against two hemipteran insect pests i.e., Dysdercus cingulatus Fab. and Phenacoccus solenopsis Tinsely (Hemiptera: Pseudococcidae). Results indicated that protein content was higher in fraction BBII than BBI and BBIII. The vibration frequency in FT-IR obtained with a range of 1650 to 1580 cm?1. Bioassays of fractions (I, II and III) reveal that BBII was highly virulent against third nymphal instar of D. cingulatus (LC50 = 800.2 ppm) and adults of P. solenopsis adult (LC50 = 713.3 ppm). Considering the high virulence of BBII subjected to SDS-PAGE, HPLC and MALDI-TOF analyses. Analyses reveals the presence of 174 kDa and designated as BBF2. These results concluded that the entomotoxic protein of B. bassiana can be utilized for management of these investigated hemipreran pests. Further investigations are necessary for the field application of this entomotoxin against these pests or other insect pests. These results also could be helpful for establishing novel biotechnological uses for this fungus. 2021 The Authors -
Functional response, host stage preference and development of Rhynocoris fuscipes (Fab.) (Heteroptera: Reduviidae) for two cotton pests
Considering the indispensable role of reduviid predators in ecofriendly pest management programme, the relationship between a predatory reduviid, Rhynocoris fuscipes, and three prey species viz., red cotton bug Dysdercus koenigii Fab. (Heteroptera: Pyrrhocoridae), cotton mealybug Phenacoccus solenopsis (Tinsley) (Hemiptera: Pseudococcidae) and rice flour moth Corcyra cephalonica Stainton (Lepidoptera: Pyralidae), were scrutinized and studied to determine the influence of host species on biology, host stage preference and biological control efficiency under laboratory conditions. Rhynocoris fuscipes completed nymphal stage in 41 days when feeding on C. cephalonica, 45 on D. koenigii, and 50 days on P. solenopsis. Adult longevity, fecundity and egg viability were higher in C. cephalonica fed category and the lowest on P. solenopsis. Life table parameters were in favor of C. cephalonica. Third instars of D. koenigii were favored by third and fourth instars of the predator. Fifth instars and adults of the predator had chosen fourth and fifth instars of D. koenigii, respectively. All instars of predator preyed on adults of P. solenopsis. It is observed that the reduviid responded to increased D. koenigii and P. solenopsis density with type II functional response. Positive interactions distinctly imply that there is a salutary effect on the pest as well. 2021, Crop Protection Research Centre. All rights reserved. -
Phyto- and zoomass-derived nanostructured carbon as efficient catalysts for oxygen reduction reaction in fuel cells: a review
Abstract: The oxygen reduction reaction (ORR) plays a pivotal role in several energy storage and conversion technologies, including metal-air batteries, microbial fuel cells, and low-temperature hydrogen and alcohol fuel cells. Fuel cells, in particular, have gained significant traction as a feasible alternative energy source due to their efficiency, cleanliness, adaptability, and ability to reuse exhaust heat. However, the complex nature of ORR requires highly efficient electrocatalysts for optimal fuel cell performance. While Pt-based electrocatalysts are widely regarded as the most suitable for both the cathode and anode in fuel cells, their high cost, scarcity, and susceptibility to fuel crossover have driven the search for alternative ORR catalysts. In this context, carbon materials have emerged as promising candidates due to their low cost, long-term stability, and strong electrocatalytic activity. Recent advancements in biomass-derived carbon nanostructures align with the global push for sustainable energy and a pollution-free environment. This review examines carbon structures derived from the carbonization of plant and animal biomass and evaluates their performance as noble metal supports, non-noble metal electrocatalysts, and metal-free electrocatalysts for ORR. Graphical abstract: (Figure presented.) The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Impact of Russia-Ukraine crisis on international trade vis-a-vis energy: A critical analysis /
The Russia-Ukraine crisis has had a significant impact on international trade vis-a-vis energy. The crisis has led to increased economic, political, and military tensions between the two countries, creating a ripple effect that has been felt around the world. The conflict has resulted in an increase in energy prices, volatile stock markets, and disrupted global financial flows. Additionally, it has created a greater sense of geopolitical instability, as the crisis has caused NATO to increase its presence in the region. Furthermore, it has led to increased embargoes against Russia, limiting their ability to trade with other countries. All of these impacts have had a ripple effect across the globe, negatively affecting economies and increasing geopolitical tensions. The Russia-Ukraine crisis has
demonstrated the fragility of the global economy and the need for effective diplomatic solutions to be found in order to prevent further destabilizing effects. -
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Self-care practices, professional quality of life and challenges: An exploration among counsellors in Kerala
The profession of counselling continues to prove its importance in today's fastpaced world, where pausing down and listening to someone are becoming an odd and luxurious concern of people. The counsellor may feel as though they are in a marathon, which demands them to continuously offer unconditional positive regard and empathy for their clients. This may leave them incapacitated to look into themselves and to recognize what is happening tothem in this process of caring for others. Though profound discourses take place in the international scenario about the criticality of rendering to the need and wellbeing of counsellors, evidence-based studies, and effective interventions in this regard are still lacking in the Indian context. This study seeks to fill this gap by exploring, how the positive and negative feelings of continuous caring can affect the professional quality of life of counsellors, what are the self-care mechanisms they adopt, and which are the professional issues they find most concerning. To meet these objectives, the present research employs a mixedmethod design in a sequential explanatory fashion. The study encompasses three different phases wherein phase I and II; the sample consisted of counsellors working in various government projects in Kerala selected through dense sampling method and purposive sampling method respectively. -
Implementation of integer factorization algorithm with pisano period
The problem of factorization of large integers into the prime factors has always been of mathematical interest for centuries. In this paper, starting with a historical overview of integer factorization algorithms, the study is extended to some recent developments in the prime factorization with Pisano period. To reduce the computational complexity of Fibonacci number modulo operation, the fast Fibonacci modulo algorithm has been used. To find the Pisano periods of large integers, a stochastic algorithm is adopted. The Pisano period factorization method has been proved slightly better than the recently developed algorithms such as quadratic sieve method and the elliptic curve method. This paper ideates new insights in the area of integer factorization problems. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Tag indicator: a new predictive tool for stock trading
In this paper, TAGan indicator for stock market prediction in which volume-based means for measuring potential trading and investing decision-making is introduced. This task has been in correlation of the changes in the volume with the changes in the actual trade volume. Using this, a concise trading strategy is formulated. Hoping to outperform the market and analyze the results by back testing across intraday, price data for the last 1 year, 2019, is performed. It was discovered that about 48.9% of the time, the volume-based trading strategy outperformed and the returns from market are also healthy enough to support the claim. Statistical methods like linear regression, mean square error in prediction and stochastic gradient descent are applied. Furthermore, while the scope of the study was limited to a few stocks in Nifty in order to mitigate selection bias, nonetheless, we hypothesize that numerous other assets that similarly possess a predictable correlation to volumes based on daily high and low are likely to exist. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Analytics in e-learning
Predictive analytics play an important role in the evolving dynamics of higher education. There has been a steady up rise in use of technology in the field of education. e-learning is seen as a futuristic approach of learning. Hence, the study of factors influencing success in e-learning courses is relevant to the current scenario. Use of predictive analytics in virtual learning environment would provide insight on learning patterns of students. The learning data available in the traditional teaching environment is different from the one, which is available from virtual learning. This paper tries to identify various attributes associated with e learning which can help in making the learning process effectual. International Research Publication House. -
Determinants of employee eco-initiatives in Indian hotel industry
Results of a questionnaire survey completed by 402 respondents who were all employees of hotels that have adopted eco-friendly practices showed that eco-initiatives are significantly and positively correlated to conservatism, commitment to the cause of the environment, and monetary rewards and recognition; significantly and negatively correlated to self-transcendence and environmental training; and bear no significant relationship with environmental communication and self-enhancement. Future research should consider the role of guests in promoting employee eco-initiatives. Copyright 2019 Inderscience Enterprises Ltd. -
Self-care practices, professional quality of life and challenges : An exploration among counsellors in Kerala
The profession of counselling continues to prove its importance in today's fast- paced world, where pausing down and listening to someone are becoming an odd and luxurious concern of people. The counsellor may feel as though they are in a marathon, which demands them to continuously offer unconditional positive regard and empathy for their clients. This may leave them incapacitated to look into themselves and to recognize what is happening to them in this process of caring for others. Though profound discourses take place in the international scenario about the criticality of rendering to the need and well- being of counsellors, evidence-based studies, and effective interventions in this regard are still lacking in the Indian context. This study seeks to fill this gap by exploring, how the positive and negative feelings of continuous caring can affect the professional quality of life of counsellors, what are the self-care mechanisms they adopt, and which are the professional issues they find most concerning. To meet these objectives, the present research employs a mixed- method design in a sequential explanatory fashion. The study encompasses three different phases wherein phase I and II; the sample consisted of counsellors working in various government projects in Kerala selected through dense sampling method and purposive sampling method respectively. In phase III, counsellor experts with more than 20 years of experience in the field are considered through purposive sampling. Findings describe that counsellors tend to follow an unbalanced self-care routine with significantly less focus on professional aspects. The presence of a high risk of burnout and secondary traumatic stress with a moderate feeling of compassion satisfaction call for immediate interventions for counsellors. Lack of benefits, safety issues, concerns about professional identity, poor working conditions, absence of career prospects, and lack of professional credentials are the major challenges identified by the counsellors. Considering these challenges, a set of recommendations are proposed by counsellor experts, which suggest reformations at both the systemic level and academic formation. Specific recommendations are also listed on the development of personal self and professional self for safe, effective and ethical practice of counsellors across a variety of practice settings. Implications exist for policymakers and counsellor educators to create an avenue for supporting a healthier and sustainable counsellor workforce. -
Growth and characterization of glycine potassium nitrate NLO crystals
Single crystals of glycine potassium nitrate were grown using slow evaporation technique. The solutions were prepared mixing glycine with potassium nitrate in different ratios stirring continuously for an hour to get a saturated solution. It was then kept at room temperature for controlled evaporation. Optically clear and well shaped crystals were obtained and these were characterized by (FTIR) studies, EDAX and X-ray powder diffraction. 2011 American Institute of Physics. -
Role of project management methodologies in achieving project success and business value creation in financial services IT projects
Increasingly, project-based organizations, have been implementing project management methodology for specific projects based on the dynamic environment. Financial services face challenges in the form of unstable market conditions, economies and technology, strict controls, and higher stress to meet customer demands and maximize profits. Many IT initiatives fail to provide the desired outcomes as per the project budgets, project types, and project contexts. Some are also unable to deliver business value to the customers due to the adoption of an unsuitable project management methodology. Regardless of the wide variety of choices, project managers often fail to decide on available alternatives. Project managers tend to tailor projects based on criteria that may not be associated with the overall project objectives rationally. The goal of this newlineresearch work is to assess the role of hybrid and agile project management approaches in newlineachieving success and creating business value considering project contexts for financial newlineservices IT projects. A conceptual research framework and various propositions were built on the literature analysis. To analyse the theoretical support, data was gathered through an online questionnaire. The survey was administered to project managers who were newlineinvolved at different levels in IT project development in financial service organizations. The study findings demonstrate that the various key success factors vary significantly across hybrid and agile project management methodologies considering different success measures in IT projects. And, such factors and processes play a vital role, especially in large-size high-technology projects. This research work enriches the project management literature and offers practical guidance by applying the contingency approach for comparing the effect of key success factors applicable to financial service IT projects from the viewpoint of hybrid and agile project management approaches. -
Role of project management methodologies in achieving project success and business value creation in financial services IT provides
Increasingly, project-based organizations, have been implementing
project management methodology for specific projects based on the dynamic environment. Financial services face challenges in the form of unstable market conditions, economies and technology, strict controls, and higher stress to meet customer demands and maximize profits. They are compelled to provide services that are tailored to changing customer interests as a result of technological innovations and developments. Financial services especially information technology-based businesses find it difficult to sustain considering the dynamic behavior of the market in terms of efficiency and controlling the cost based on market changes. Moreover, financial services are also constrained to manage stakeholders while maintaining flexibility and responsive processes and focusing on technological advancement to improve success in projects. Many IT initiatives fail to provide the desired outcomes as per the project budgets, project types, and project contexts. Some are also unable to deliver business value to the customers due to the adoption of an unsuitable project management methodology. Regardless of the wide variety of choices, project managers often fail to decide on available alternatives. Project managers tend to tailor projects based on criteria that may not be associated with the overall project objectives rationally. The goal of this research work is to assess the role of hybrid and agile project management approaches in achieving success and creating business value considering project contexts for financial services IT projects. -
Development of Privacy Preserving Machine Learning Techniques Using Secure Multi-Party Computation
Machine learning (ML) has brought about a paradigm shift in insight generation across various domains, including healthcare, finance, and pharma, by leveraging historical data. However, the effectiveness of ML solutions hinges on the seamless collaboration between data owners, model owners, and ML clients while ensuring that privacy concerns are meticulously addressed. Unfortunately, existing privacy-preserving solutions have not been able to offer efficient and confidential ML training and inference. This has led to an increased focus on Privacy-Preserving Machine Learning (PPML), which has become a flourishing area of research aimed at safeguarding the privacy of machine learning stakeholders. In this regard, the present research introduces novel techniques for private ML inference and training of models using Secure Multi-Party Computation (SMPC) and Differential Privacy (DP) methods on horizontally and vertically partitioned datasets. The proposed techniques are implemented using Python with open-source libraries such as SyMPC and PyDP to ensure confidential inference and model protection. The findings across various parameters illustrate the effectiveness of the suggested techniques in addressing the privacy concerns of model owners and inference clients, with no significant impact on accuracy and a linear influence on performance as the privacy parameters, such as secure nodes count within the SMPC cluster. are increased. Furthermore, the privacy gain is substantiated by information privacy measures such as Mutual Information and KL-Divergence across different privacy budgets, which demonstrate empirically that privacy can be preserved with high ML accuracy and minimal performance cost.