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The vertex distance complement spectrum of subdivision vertex join and subdivision edge join of two regular graphs
The vertex distance complement (VDC) matrix C, of a connected graph G with vertex set consisting of n vertices, is a real symmetric matrix [cij ] that takes the value n ? dij where dij is the distance between the vertices vi and vj of G for i ? j and 0 otherwise. The vertex distance complement spectrum of the subdivision vertex join, G1 ??G 2 and the subdivision edge join G1 ?G2 of regular graphs G1 and G2 in terms of the adjacency spectrum are determined in this paper. 2021, Krasovskii Institute of Mathematics and Mechanics. All rights reserved. -
Treating troubled families: Therapeutic scenario in India
India, a country of diverse cultures, languages, life styles, and ethnicities, is becoming a land of economic change, political stability, technological advancement, and changing traditional structures of relationships as well as health consciousness. Being known for its ancient traditions, rituals, religious orientation, spiritual outlook and folk beliefs, Indian families attempt to continue certain healthy and traditional elements such as warmth, strong bond, hierarchy, extended support, cultural orientation, shared values and time, tolerance, respect for the aged and inculcation of religious teachings and traditions in families. These factors, or practices, in fact have strong therapeutic value in supplementing the growth and development of individuals in the family system in spite of its transitional position. This paper deals with the review of family-based mental health services and focuses on the changing trends of those practices in India and the advancement of Indian families in their engaging ability with mentally ill members as well as with the treating team. 2012 Institute of Psychiatry. -
Preparation for parenthood programme: Experiences from southern India
Parenting skills are critically important to ensure that children are brought up in a safe environment. Recent evidence shows that studies of parenting skills are still at a preliminary stage in low-and middle-income countries. These need to involve family practitioners and religious groups who often play a major role in preparing young people in India. There are organized programmes available in the country for Christian adults to prepare themselves for marriage and family life through various church initiatives and activities. In order to develop a programme which can be used to prepare young parents for responsibilities of parenthood, a needs assessment was carried out among 70 young adults who attended a marriage preparation course in Bangalore, India. All the participants belonged to the Christian faith. Participants consisted of 53% men and 47% women whose average age for deciding to get married was 26.8 years. All of them expressed a need for such a preparatory programme for parenthood. They considered they needed to know about normal child development, behavioural management of children, to develop adequate skills in handling children at different ages, and deal with their own past issues with their own parents when they were being parented. The results suggest that the development of a preparatory programme for young adults to support them in the role of parenthood must take their views and needs into account. 2014 Institute of Psychiatry. -
Random forest application on cognitive level classification of E-learning content
The e-learning is the primary method of learning for most learners after the regular academics studies. The knowledge delivery through E-learning technologies increased exponentially over the years because of the advancement in internet and e-learning technologies. Knowledge delivery to some people would never have been possible without the e-learning technologies. Most of the working professional do focused studies for carrier advancement, promotion or to improve the domain knowledge. These learner can find many free e-learning web sites from the internet easily in the domain of interest. However it is quite difficult to find the best e-learning content suitable for their learning based on their domain knowledge level. User spent most of the time figuring out the right content from a plethora of available content and end up learning nothing. An intelligent framework using machine learning algorithms with random forest Classifier is proposed to address this issue, which classifies the e-learning content based on its difficulty levels and provide the learner the best content suitable based on the knowledge level. The frame work is trained with the data set collected from multiple popular e-learning web sites. The model is tested with real time e-learning web sites links and found that the e-contents in the web sites are recommended to the user based on its difficulty levels as beginner level, intermediate level and advanced level. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved. -
The Effect of Bloom's Taxonomy on Random Forest Classifier for cognitive level identification of E-content
With the advancement in internet, the efficiency of e-learning increased and currently e-learning is one of the primary method of learning for most learners after the regular academics studies. The knowledge delivery through e-learning web sites increased exponentially over the years because of the advancement in internet and e-learning technologies. The learner can find many website with lots of information on the relevant domain. However learners often found it difficult to Figure out the right leaning content from the humongous availability of e-content. In the proposed work an intelligent framework is developed to address this issue. The framework recommend the right learning content to a user from the e-learning web sites with the knowledge level of the user. The e-contents available in web sites were divided in to three cognitive levels such as beginner, intermediate and advanced level. The current work uses Blooms Taxonomy verbs and its synonyms to improve the accuracy of the classifier used in the framework. 2020 IEEE. -
Brain tumor segmentation and detection using MRI images
Brain tumor is caused due to the increased abnormal in brain. It is not something that we might say is limited to aged people alone, but is known to affect newborn babies as well. It affects many people worldwide. With the applications of Machine Learning (ML) and Image Processing (IP), the early detection of brain tumor is possible. In this research work, the different stages in image processing which help to detect brain tumor, is addressed vividly. This work provides information about the various sets of filtering and segmentation methods which can be used to detect whether it is brain tumor or not. All of the filtering methods are defined in image preprocessing techniques. The next procedure is to apply segmentation methods namely watershed segmentation and gray level threshold segmentation. After this, certain features are considered for feature extraction such as area, major axis, minor axis and eccentricity. According to the outcomes from the feature extraction technique, the classification of the tumor is done. In this paper, we achieve an accuracy of 92.35 by using K-Nearest Neighbor (KNN) algorithm. IAEME Publication. -
Development and validation procedure of the higher educational facilities scale (HEFS)
Purpose: The purpose of this study was to develop and validate a scale to assess the influence of Higher Educational Facilities for the growth of education in higher education institutions. Design/methodology/approach: The first step in the process of scale development is to generate an item pool containing as many items as possible which captures the construct of interest. A total of 111 items were constructed for the initial try-out of the scale measuring the construct of higher educational facilities. This rating scale was based on the Likert-type was designed, where each item had to be rated on a five-point scale. The scale consisted of a few items involving the dimensions of infrastructure, quality assessment and quality assurance regard to the vision actualization. Findings: Higher Educational Facilities Scale (HEFS) was developed by the investigator and designed in the format of a 5-point rating scale of the Likert type. There are different phases identified for the scale construction. In the first phase, items are created and the contents validity is determined. The scale is constructed in the second phase. Pre-testing the questions, administering the survey, reducing the number of items and determining how many factors the scale captures are all steps in the scale construction process. The number of dimensions, reliability and validity are all verified in the third phase, scale evaluation. In developing the scale, the content and face validity was ascertained. The reliability of the scale and its three subscales were established. This scale has potential value for policymakers to assess the perception held by the religious faculty members working in higher education institutions. Originality/value: The research is part of the doctoral thesis by Dr Deepa Thomas under the supervision of Dr Fr. Joseph C. C. and the co-supervision of Dr Kennedy Andrew Thomas. The purpose of the scale is to assess the higher educational facilities of in institutions of higher Education. Quality, excellence and service are the vision and purpose of higher education institutions to provide ample opportunities and good facilities for their beneficiaries, thus creating tremendous changes in the Indian education scenario. 2024, Emerald Publishing Limited. -
Kuriakose elias chavara in the formation of human capital and its impact on indian society
Developing knowledge societies encompasses personal, social, ethical and political dimensions, integrating all its members and promoting new forms of solidarity involving both present and future generations. Kuriakose Elias Chavara had realized the power of human capital formation for the integral development of the society and initiated pioneering efforts to develop human capital, and established two indigenous religious congregations, Carmelites of Mary Immaculate (CMI) for men and Congregation of the Mother of Carmel (CMC) for women. The objective of this paper is to synthesize the vision of Kuriakose Elias Chavara regarding the concept of human capital formation and examine its result based on vision actualization of CMC congregation and its members and institutions. The paper is divided into three sections; the first section discusses the meaning of human capital formation in the Kerala and Indian context. The second section deals with the human capital formation through the vision and mission of Chavara and the last section explains the human capital formation and women empowerment, and its impact on knowledge societies through CMC congregation. It explains the transformation of individuals inspired by the vision of founder and support of the Congregation, which brings tremendous changes in the society. 2019 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
ThermAI: Exploring Temperature Analysis Through Diverse Machine Learning Models
Meteorological forecasting is crucial in multiple industries, including agriculture, aviation, and daily routines. The objective of this inquiry is to improve temperature predictions by examining and comparing several machine learning methods, such as linear regression, decision trees, and random forests. This work aims to fill the gap in assessing machine learning models for temperature forecasting on a broader scale by utilising the comprehensive Indian meteorological dataset, which covers a wide range of geographical regions. The research utilises a thorough technique that includes gathering data, selecting relevant features, choosing appropriate models, and evaluating the results using R-squared and Mean Square Error metrics. The findings demonstrate that the Random Forest model surpasses both multiple linear regression and decision trees in terms of performance, displaying superior accuracy and reduced prediction errors. This study enhances proactive weather management and decision-making processes by offering valuable insights and tools to stakeholders in various industries. The work is organised into distinct sections that encompass a literature review, methodology, results, and conclusions, providing a comprehensive viewpoint on developments in temperature forecasting. 2024 IEEE. -
Carbon-Based Nanomaterials for Cancer Treatment and Diagnosis: A Review
Early detection and treatment is a successful method to fight against cancer. The use of conventional methods often limits the early-stage detection of the same. Nanotechnology, especially nanomedicine, has become an evolving field in research today. Nanoparticles, with their diverse application in medicine, have grown tremendously. Despite their physicochemical properties, the toxicity of nanoparticles in living organisms has helped the scientific community develop these nanoparticles for cancer treatment. In this review, we highlight the two different types of synthesis of nanoparticles: Top-down and Bottom-up approaches, many instances of various techniques and other inorganic nanoparticles that are good platforms for bioimaging and biosensing applications, drug delivery nanocarriers for specific tumor targeting, thereby reducing the toxicity to healthy tissues and Photodynamic therapy (PDT) and Photo Thermal Therapy (PTT), their mechanism and nanoparticles and examples of their surface functionalization used in cancer treatment. 2022 Wiley-VCH GmbH. -
Public Policy, Policy Research, and School Counseling in India
This chapter discusses the development of school counseling in India and examines public policy and policy research that influence the practice of school counseling. The chapter traces the history of school counseling in India followed by an examination of the contribution of several public policies that has implications for the professional practice of school counseling in India from post independent India. Public policies and programs from the sectors of education, health and mental health, family welfare, and department of children and women are evaluated for their implications for school-based counseling services. The chapter also examines the existing policy research base. Research related to school mental health and systematic reviews on child and adolescent mental health are reviewed and their implications for school counseling examined. The chapter concludes by discussing the policy gaps and highlighting specific recommendations for the practice of school-based counseling in India. The authors suggest several recommendations including the identification of education and health policies that can be achieved by having counselors in schools, an evaluation of existing policies and programs to determine the current level of implementation, and development of school counseling competencies and high-quality training models to build competencies in school counseling. Springer International Publishing AG 2017. -
Dependence of Eigen frequency on the output performance of a piezoelectric nano sensor: A comparative study
Energy harvesting is an approach to generating electricity that uses the energy of the local environment directly. Instead of relying on batteries or power generated elsewhere, the world needs a new generation of energy-producing products. Generation or accumulation and energy consumption must be balanced when designing such a system. Before implementation into the real world, simulations are available for optimizing device designs, comparing them, predicting them, and formulating methodologies. In this comparative study, using a finite element simulation software COMSOL Multiphysics, an Eigen frequency analysis is performed to validate the relationship between Eigen frequency and output voltage and also shows how much the selection of a piezo electric base material depends on the natural frequency, excitation frequency, and output voltage relationship. A piezoelectric sensor is constructed with an initial base material and using material sweeps, another six materials are added and switched for the purpose. After applying allowable stress and frequency analysis, measured the output electric potential for the first five eigenmodes. Selecting seven different piezo electric base materials that possess unique properties from traditional lead zirconate titanate (PZT) to upcoming polymer material polyvinylidene fluoride (PVDF), there reveals the role of selecting suitable energy harvesting medium in generating proper output. From the experimented materials, zinc oxide (ZnO), aluminum nitride (AlN), and PVDF are found to be reliable towards the resonance concept and attaining optimum electric potential. Thus, our study strongly supports previous works carried out by the researchers regarding the effect of various piezo electric base materials on output response. 2023 -
Denial of Desire Depictions of Elderly Intimacy in Malayalam Cinema
[No abstract available] -
Aging Bodies and Necropower: A Critical Study of Geronticide in Tamil Films K.D. and Thalaikoothal
This paper analyzes the act of thalaikoothal, performed on ill and infirm older people in the southern part of the state of Tamil Nadu, India, with reference to two Tamil films, K.D. (2019) and Thalaikoothal (2023), which portray the horrors of the practice. A kind of involuntary euthanasia, the ritual continues to have covert social acceptance as exemplified in the films, favoring the common stereotype that marks aging bodies as unproductive and unworthy of living. Therefore, this article explores the aging bodies in the films as sites of power, controlled by death enforced through Thalaikoothal, employing Mbembes concept of necropower. It also examines the effects of the practice on the elderly, who are compelled to prepare themselves for a forced death. The study further identifies the underlying factors contributing to the prolonged existence of Thalaikoothal even in the present times. 2023, University of Zadar. All rights reserved. -
Managing stress, traumatic experiences, life skill training, and leading with a purpose
This chapter examines the obstacles encountered by minority women pursuing leadership positions in K-12 education, focusing on the interconnectedness of gender and ethnicity. This work explores the intricate terrain of stress and trauma, examining particular obstacles such as marginalization and microaggressions, thereby emphasizing the necessity for specialized assistance. The chapter delivers valuable insights regarding stress management and purposeful leadership, including Mindfulness, life skill training, tension reduction, professional assistance, mentorship, and peer support. The text highlights the significance of effective stress management in cultivating a supportive educational environment. The text culminates in an appeal for empowerment, emphasizing the capacity of obstacles to be catalysts for change in the direction of inclusivity and diversity for minority women leaders who strive to shape a diverse and progressive future. 2024, IGI Global. All rights reserved. -
Life skills for personal well-being
This investigation examines the integrative and transformative qualities of service learning in higher education, specifically focusing on its contribution to developing personal well-being-related life skills. By integrating significant community service with academic goals, service learning provides a comprehensive educational experience. Its defined components, theoretical framework, and real-world applications underscore the subject's significance. Student experiences and case studies illustrate its influence on empathy, resiliency, and communication. Strategic implementation approaches serve as a compass for purposeful undertakings. Service learning connects theoretical concepts with practical application, cultivating globally literate and socially conscious individuals who can navigate the everchanging realm of higher education. 2024, IGI Global. -
Empowering indigenous adolescents: Life skills development and transformative student engagement through service-learning
This chapter synthesizes results from examining service-learning initiatives tailored for Indigenous adolescents. The authors emphasize customized educational approaches, community collaboration, and cultural sensitivity. The Paniya Tribes case study in Wayanad illustrates efforts of this kind that seek to address historical inequities and enhance students' academic performance, life skills, and engagement. The enduring impact extends beyond academics, empowering young people to take on leadership roles. Cultural sensitivity and the responsible application of technology are two factors that can significantly impact Indigenous education's trajectory in the future. Implementing suggested strategies and optimal methods advances inclusive and culturally attuned education, thereby preserving Indigenous cultures and fostering sustainable development. 2024, IGI Global. All rights reserved. -
Impact of COVID-19 Pandemic on Beach Tourism in India
COVID-19 Pandemic has a profound Impact on the Indian tourism sector, especially on beach tourism. Research shows significant changes in the pattern of the ecological terrain of coastal areas and on the community dependent on tourism business and marine life, due to the imposition of lockdown for several months. The paper discusses the change in behavioral patterns of people during Pre and Post COVID-19 for visiting any beach destination in near future in terms of preferences in accommodation, selection of beaches based on crowd and other factors that will be considered in post pandemic days. This study brings out various key indicators shaping the pattern of beach holidays in the future based on the survey conducted among tourists belonging to youth population. The survey considered the tourists preferences of visits and factors they would look upon to choose beach holidaying in the Post COVID-19 years. The influence of the pandemic on quality of beaches, visitorswillingness to visit beaches in future, Post Pandemic opportunities and strategies of destinations for shaping tourism further have also been examined. Copyright IJHTS. -
Preterm birth prediction using cuckoo search-based fuzzy min-max neural network
In the latest history, a Decision making and prediction system has been investigated vigorously for several decades and has got a lift. Together with preterm birth study, the decision support system has been explored in different areas. Using fuzzy, neural network and cuckoo search algorithm, the medical decision support system is improved for the forecast of preterm birth in this document. A two-module pattern categorization and rule extraction system has been highlighted by this study, where in the former module emphasises an altered fuzzy min-max (FMM) neural-network-based pattern classifier, whereas the subsequent module emphasises oppositional cuckoo search based rule extractor. With the theory of opposition, this paper examines altered cuckoo search algorithm. Using Pre Term Birth (PTB) datasets, the empirical analysis is executed and applied using MATLAB. Performance assessment matrix occupied is the precision and our suggested method is compared with the active methods. It is examined that our suggested method has attained improved precision value (85.6 %) when compared to FMM (77.36 %) which illustrates the efficiency of the suggested method from the results. 2013 Praise Worthy Prize S.r.l. - All rights reserved. -
Customer Segmentation in the Field of Marketing
The motive of this work is to classify and categorize customers depending on their familiar traits/characteristics so as to enable a company or a firm to adequately market their products to each category more attractively and competently. It is imperative for a firm to educate themselves with each and every detail about the customer, such as age group, sexuality, social class, purchase pattern etc as it paves way for customer segmentation. Businesses may utilize segmentation to make better use of their marketing resources, get a competitive advantage over competitors, and, most importantly, display a deeper understanding of their consumers' requirements and desires. Customer segmentation, when combined with customer targeting and positioning, creates the foundation for strategic marketing. A manager can find new marketing possibilities and create or adjust the product to satisfy the demands of potential clients using the notion of strategic marketing. The product's quality level determines its position in the market's overall offering. It's a crucial aspect in selecting which market segment a collection will target. The commercial world has gotten more competitive over time, as enterprises like these have to fulfil their consumers' demands and aspirations, attract new customers, and enhance their bottom lines. In this research, I have put the spotlight on the information used by firms for the purpose of customer segmentation in the most valuable manner. In addition to that, I have portrayed different models of customer segmentation and the benefits reaped by a business in implementing them. 2022 IEEE.