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Determinants of customer loyalty and retention : A Study of supermarket customers in Bangalore
Considering the ever dynamic lifestyle of the customers in Bangalore,the proposed study tried to find out the expectations and aspirations of supermarket customers in Bangalore.Most of the currently available studies are based on conceptual understanding and don t have an empirical backup. The proposed study is designed to determine the customer loyalty and retention of Supermarket Customers in Bangalore. newlineThe literature initiates an exhaustive discussion of various constructs leading to customer retention. Based on references from the literature constructs identified for customer retention are customer satisfaction, switching costs and customer loyalty and for customer loyalty the constructs identified are trust,commitment and customer satisfaction.For determining satisfaction the constructs identified in the proposed study are convenience of location, store atmosphere,promotion, customer relationship management practices and merchandise. Through extensive literature review,hypotheses were derived and the proposed conceptual model is developed. newlineObjectives of the proposed study are to empirically validate a model linking customer satisfaction, customer loyalty and customer retention with select antecedents. Research Methodology explains about the population spread from which the samples are collected, the justification for using the particular sampling technique and also about the tool employed for data collection. The techniques employed for checking the reliability and validity of the tool and pilot data analysis are also explained. Data collection was conducted using a structured questionnaire designed using Likert scale measurement. The pilot sample data consisted of 250 respondents.The questionnaires were analyzed using SPSS(v.20,software using Cronbach Alpha, Intra Class Correlation and Confirmatory factor analysis. newlineThe data collected from 600 respondents in Bengaluru city was used for the full fledged study. -
Determinants of profitability of private sector banks in india
Indian banking sector has undergone a sea change after the advent of Liberalisation,Privatization and Globalization polices of Government of India, newlineduring the beginning of nineties. This has resulted inthe implementation of banking sector reforms which rationalized banking system by opening of new generation commercial banks,entry of foreign banks,prudential norms for quality of asset,deregulation of interest rates and launching of banking tribunals. During newlinethe last two decades private sector banks in India have played a significant role in newlinebanking sector in terms of business, profit, network, channels and digital banking. newlineInorder to make use of technology and improve customer service banks have implemented CBS. Banking reforms, competition, growing NPA due to economic slowdown, high investments in technology, Basel Risk Management have affected the profitability of all banks in India. But private sector continues to perform well. Present study analyses the determinants of profitability of private sector banks in India and Impact of profitability after implementation of CBS. Since private sector new and old banks are the two groups in private sector banks in India their profitability and determinants are analyzed. The study focuses on select four banks each from private sector new and old banks in India for fourteen years, 2000-2001 to 2014-2015.The Global banking benchmarkon profitability of commercial newlineBanks,ROA is considered as dependent variable and Bank specific, Industry level and Macro level Independent variables are analyzed in the data analysis to find out variations, relationships andfundamental variables influencing profitability of private commercial banks in India during the period under study. -
Developing a democratic constitutional framework through a people driven constitution making process for zimbabwe
Zimbabweans are currently grappling with the question of how to produce a national peopledriven democratic constitution as a permanent solution to the country s myriad problems of poor governance, violent bloody electoral political conflicts, sham elections, governmental illegitimacy, corruption, economic collapse, unemployment, social disintegration, and international isolation. The purpose of the study was to explore a people-driven democratic newlineconstitution-making process that the people of Zimbabwe want. The study was largely newlinebased on phenomenology research philosophy supported by mixed methods of data collection, analysis, and interpretation. The researcher s mental model conceptual newlineframework consisting of operational definitions of terms in chapter 1 was used to guide the exploratory study and to measure data in qualitative analysis. Descriptive statistics of frequencies and percentages were used to measure data in quantitative analysis. The research population comprising the people of Zimbabwe was segmented into two classes of research units: individuals segment; and institutions segment. The institutions segment was further subdivided into six subsidiary segments. Using a non probability purposive sampling method, 1120 individuals and 67 institutions were selected to inform the study. Institutions were interviewed and observed while individuals completed a questionnaire. The phenomenological inductive study discovered major findings of contextual meanings of newlinephenomena associated with a people-driven democratic constitution-making process for newlineZimbabwe such as the people, the constitution, constitution-making, and people-driven. One of the major notable findings revealed by the study is that institutions or organizations are not people, and as such, they cannot make, author or write a constitution. The people think and originate ideas as individuals not as groups, institutions or organizations. Another newlinenotable major finding is that a constitution is made up of ideas not papers. -
Development and effectiveness of an art therapy application for children
This study involved developing an art therapy app and explored the effectiveness of art therapy using the app on enhancing children's self-esteem. Digital technology has become a part of human life and has also influenced mental health services. There is a recommendation to use digital technology in low-resource countries to bridge the mental health service gap for individuals with mental health problems. To meet the needs of art therapists and clients, an app called Art about Me was designed as a new medium/tool in art therapy intervention by the researcher, an art therapist. Confidentiality, security, documentation, and a backing up system were the primary features considered while developing the app. Three school counselors who participated in an art therapy workshop provided art therapy intervention using the app for children in school settings to improve their self-esteem. The results indicated that art therapy using the app was significantly effective in enhancing their self-esteem. This study concluded that the app could replace traditional art materials and work as a substitute medium. It helped build a therapeutic alliance with clients, develop self-growth and potential for children, and was appreciated by counselors. The art therapy app would be an adequate solution to provide therapeutic services and overcome the limitation of art materials for art therapy, especially in low- resource countries. -
Development and effectveness of a screening measure and a computerized cognitive remediation program for children with reading and arithmetic difficulties
Reading and arithmetic skills are considered as the foundation skills necessary for educational and vocational success. Research has outlined the important role of specific cognitive functions for efficient reading, comprehension of text and arithmetic processes. Learning difficulties have been shown to have a tremendous impact on later life, both in academics and social relationships. It therefore becomes newlineimperative that we identify, as early as possible, children at risk for learning newlinedifficulties and attempt to assess the relevant cognitive skills and plan and execute intervention programs to improve the efficacy of these cognitive skills. This present study has attempted to do this, keeping the Right to Intervention (RTI) model as the rationale and has focussed on designing an assessment tool along with a remediation program based on the cognitive viewpoint.The two objectives of this research were: development of a screening measure newlinefor identification of children with reading and arithmetic difficulties and development newlineof a computer based cognitive intervention program for improving reading and newlinearithmetic skills. The research was conducted in two stages. Stage one involved the newlinecompiling of the screening measure which consisted of three domains: cognitive newlineabilities, reading comprehension and arithmetic ability. The assessment measure was administered on 1091, third, fourth and fifth grade children from English medium newlineschools in South Bangalore, following the ICSE syllabus. The data obtained was newlinesubjected to item analyses and the final screening tool - Arithmetic and Reading Test newline(ART) - was developed, which comprised of tests for reading comprehension, arithmetic ability and cognitive functions, i.e., attention and concentration, visual newlineperception, visuo-spatial ability, processing and working memory. Psychometric properties were established and the ART was found to be reliable and valid. Test-retest reliability of the ART was 0.76. -
Development and efficacy of creativity enhancement programme for adolescents with specific learning disability
Adolescents with Specific Learning Disability (SLD) face academic and emotional challenges in their school life. Creativity is a skill which helps adolescents to approach problems of daily life differently. That would help them to explore and nurture their self-esteem. Though there is a debate on whether creativity is innate or learned, activities are still required for children to recognize and nurture the creative skills in children. Studies show that creative tasks develop self-esteem in children and also decrease depression in children with SLD. Creativity newlineEnhancement Programme (CrEP) is developed as part of the study in consultation with experts in the field based on Torrance s Theory of Creativity. The Programme tested newlinethe efficacy in improving the creativity and the self-esteem as well as reducing anxiety and depression of 100 adolescents with SLD. The adolescents with SLD, studying in class sixth to ninth in five schools that follow newlinethe state syllabus and English medium of instruction, which are situated in South Bengaluru were selected. Initial screening consisted of an assessment of SLD and newlineintelligence to select participants. Out of 100 students with SLD, 50 students each were randomly allocated to experimental and control groups. The intervention programme consisted of creativity enhancement activities such as drawing, bridge construction, sand art, best out of waste, and find a friend. Baqer Mehdi Test of Creative Thinking and Depression Anxiety Stress Scale at were used as assessment tools and measured the study variable before, after and three months after the intervention. newlineResults showed CrEP could improve non-verbal newlinecreativity: Elaboration and Self-esteem. Similarly, this intervention could reduce depression. CrEP is useful in helping adolescents with SLD to explore and nurture their creativity, which would help them build their self-esteem and reduce the risk of mental health problems. -
Development and Efficacy of Parenting Skill Training for Mothers of Adolescents in Kerala
The primary objective of this research is to develop and assess the effectiveness of an intervention program tailored for mothers of adolescents in Kerala to strengthen their parenting skills. The digital age and unique socio-cultural context present new challenges in child-rearing, and existing parenting programs fall short of addressing these evolving issues. The study employed a mixed-method framework with specific objectives to fill this research gap. The research unfolded in three phases. The initial stage encompassed comprehensive interviews with ten mothers and their adolescents, utilizing a constructionist model for thematic analysis. It unveiled five main and 22 sub-themes, shedding light on mothers' and adolescents' needs and challenges in Kerala. The second phase focused on designing an intervention module specifically suited to address the needs and challenges identified in the qualitative phase. The study used a pre-test, post-test, and experimental design with a control group for the third phase. The researcher used the Alabama Parenting Questionnaire, the Family Environmental Scale, and the Parental Satisfaction Scale to measure the efficacy of the training. The results presented significant improvements in parenting practices in the experimental group, particularly in positive parenting and mothers' involvement with their children. Corporal punishment and inconsistent discipline decreased, while family environment and parenting satisfaction increased. This study contributes substantially to the mental health field by offering an evidence-based program to assist mothers in navigating parenting challenges during adolescence. This intervention aims to improve family dynamics and adolescent well-being. It is a valuable resource for trainers seeking to facilitate behavioral changes within the target groups. -
Development and Implementation of Algorithm for Image Preprocessing of Microorganism
The digital revolution has changed most aspects of modern life. Nowhere has the change been more fundamental than in the field of microscopy. Researchers who use the microscope in their investigations have been newlineamong the pioneers who applied digital processing techniques to images. Vision is most powerful of the five senses of human being. Digitized visual information provides high impact on the subject. Digital image processing is concerned with the extraction of useful information from images. Visual newlineinformation from microscopic images of microorganisms is analyzed regularly. This has resulted in a need to understand and implement digital processing on microscopic images. The purpose of this thesis is to bring new digital image processing techniques for the noise removal of microscopic image of microorganisms. The digitized image processing includes image representation; improving image quality by removing noise; newlineand enhancing the quality of microscopic images. At the outset, the thesis elaborates on the concepts around microscopic images and their digital image processing. Various existing algorithms are studied for their efficacy. This thesis gives three different techniques of image processing based on the noise level in microscopic images. The thesis newlinedevelops the techniques of image processing through Simulation , which is well accepted tool in the field of engineering. MATLAB has been used in this study to simulate the image processing algorithms. The algorithms developed in the study will be helpful in everyday life through better analysis of microscopic images of microorganisms. The thesis is a contribution to the medical field with better analytical techniques. This research work overviews different image processing techniques used in the analysis of microscopic images and other type of images. After reviewing, use of microscopic imaging is presented. Special emphasis is on two types of noise called Gaussian noise and Impulsive noise is given. -
Development and standardization of a tool to measure direction, motive and affect of social comparison among adolescents
Social comparison process is a pervasive social phenomenon (Suls, Martin and Wheeler, 2002). People very often make a comparison with others either intentionally or unintentionally in their daily life. This phenomenon of perceiving self in one s social standing in comparison to others can influence different outcomes including self-concepts, self-esteem, and distinct feelings.This evaluative method provides useful information to generate accurate evaluation about one s abilities and opinion, especially on self-related dimensions. This concepts is very relevant to study in the adolescent population, as children s development of self is largely shaped by social environment experience with family and friends. Social comparison plays an important role in adolescents development of one self-concept especially self-esteem in important dimensions of self. Having outlined the relevance of social comparison theory in the context of this research, it is imperative to attempt this type of exploration and developing a concept based assessment tool to measure different facet of social comparison theory-direction, motive and affect. newlineThis study followed mixed design to better set the context through theoretical and empirical approach for the development for a new tool. In the initial phase, concept exploration was done through literature review to understand the conceptual framework of the approach, followed by qualitative exploration using interview method on 12 adolescents and 4 school counselors. This exploration let to the development of items based on eight dimensions of self, identified in this study. In the second phase, a pilot test was conducted on a sample of 237 adolescents and fulfilled the initial psychometric cleansing of the tool. In the third phase, the main test was administered to sample of 531 adolescents age between (12-16 years). The initial construct analysis was assessed using confirmatory factor analysis and the scale satisfied the model fit hypothesis using structural equation model (SEM). -
Development and standardiztion of a tool to assess spirituality in families for family based interventions
The aim of the study was to develop and standardize a tool for family spiritual assessment. The sample consisted of 1502 Indian participants which included members from three religious backgrounds namely: Christianity, Hinduism and Islam. The data collected through face-to-face interview was analyzed using exploratory factor analysis (EFA), t-test and ANOVA. A five-item Likert-type tool developed was named as Family Spiritual Assessment Scale (FSAS) through a process of item development. EFA revealed that the 26-item tool with 5-factor solution had an excellent internal consistency of and#945;= .816. Religious factor, Spiritual factor, Mental health factor I (Positive emotions), Mental health factor II (Forgiveness) and Mental health factor III (Negative emotions) are the five important factors of the scale. Gender differences were found in the Spiritual factor, Mental Health, and Total newlinescore of the Scale, where females had higher scores than males. Post-hoc analysis newline(Bonferroni) revealed that total scores of all the three religions differed significantly. The results provide a sound foundation for the future research on spirituality. Family Spiritual newlineAssessment Scale, being the first in India, can be very beneficial to mental health newlineprofessionals and practitioners. -
Development and validation of an intimate relationship security scale
Relationships form an integral part of our lives, a key function being attachment. While newlineromantic relationships have mainly been studied with attachment theories as the basis,collectivistic cultures like India emphasize on togetherness more than individualism. To understand and measure security in any intimate relationship, a tool was developed, utilizing both qualitative and quantitative methods. An initial thematic analysis helped develop a basic model of relationship security that guided item generation. Items were developed to help newlinemeasure the newly operationalized construct, using stakeholders, literature review and social media. 520 participants, including both, marital and pre-marital and 7 experts, helped cut down the 206 item pool to (in the first phase of data collection) to 84 items. Exploratory factor analysis was conducted the second time on a sample of 486 participants that further narrowed down the scale to 58 items. The final confirmatory factor analysis, using SPSS AMOS, involved data collected from 408 participants. Validity, Reliability analysis and norms were developed for the final scale of 43 items. -
Development of computational techniques for preserving privacy using secure multi-party computation protocols
Data related to individual wealth, financial status and health is sensitive and to ensure confidentiality of these data special mechanism is required. For betterment of research and development, requirement is right input from authorized users. Due to personal confidentiality concerns, it is very difficult to get individuals sensitive information even if it is for mutual benefits. To get the real time data from actual users is critical to achieve extraordinary quality research outcomes. In collaborative computation participants are unwilling to provide straight answers when the questions involve personal information. The service providers who collect s data need to establish substantial trust with the parties. The confidentiality and integrity guarantees of the proposed protocols can simplify this issue. newlinePrivacy preservation is a big challenge for the data generated from various sources such as social networking sites, online transactions, weather forecast to name a few. The socialization of the internet and cloud computing generates pica bytes of unstructured data online with intrinsic values. The inflow of big data and the requirement to move this information throughout an organization has become a new target for hackers. The collaborative computation data is subject to confidentiality laws and should be protected. newlinePeople are more interested toward outsourcing work to a third party rather than maintaining their own resources, in this circumstance there is a requirement of insuring security from the service provider as it may lead to security breaches and party may not be interested in such service providers. newlineSecure multi-party computations deals with collection of challenges in which the requirement is the collaborative computation result. This computation needs input from multiple parties, but all the parties are concerned about their individual input. -
Development of Efficient Biometric Recognition algorithms based on Fingerprint and Face
The reliable verification systems are required to verify and confirm the identity of an individual requesting their service. Secure access to the buildings, laptops, cellular phones, ATM etc. is an example of such applications. In the absence of robust verification systems, these systems are vulnerable to the wiles of an impostor. The traditional ways of authentications are passwords (knowledge based security) and the ID Cards (token based security). These methods can be easily breached due to the chance of stolen, lost or forget. The development and progress of biometrics technology, the fear of stolen, lost or forget can be eliminated. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physiological or newlinebehavioral traits associated with the person. newlineThe biometrics identifies the person based on features vector derived from physiological or behavioural characteristics such as uniqueness, permanence, accessibility, collectability with minimum cost. The newlinephysiological biometrics are Fingerprint, Hand Scan, Iris Scan, Facial Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subject s body. But the behavioural biometric are more concerned with mood and environment.Chapter one presents the introduction to biometrics and its various newlinetraits. Further description like structure of the biometric system, different newlineapproaches are discussed. Also the design issues in biometric system such as universality, collectability, distinctiveness, permanence, acceptability, newlineuniqueness, performance, circumvention etc., are discussed. Chapter two gives a detailed survey of biometric techniques. It includes the literature survey of fingerprint and face biometric traits and various approaches. -
Development of Family Intervention for Management of Psychogenic Seizures : A Qualitative Study
Background: In the somatoform and dissociative spectrum, family functioning has been poorly researched based on the search in PubMed, Google Scholar, Science Direct, PROQUEST, EBSCO and Cochrane Reviews. In Psychogenic Non-Epileptic Seizures (PNES) primarily, family functioning has been understood as a comparison between Epileptic Seizures (ES) and PNES. However, an attempt to study different aspects of family functioning and its ability to influence the newlinemanifestation of the disorder is yet to be made. Methods: This study attempted to understand different family functions qualitatively by interviewing both the patients and family members of these patients. Nine patients and seven families of these patients participated in the study. Braun and Clarke s thematic model was used. Latent thematic analysis was used to analyse the data. Based on the analysis, major and sub-themes were used to develop family intervention and a family psychoeducational model. Both were developed with the help of the GUIDED Checklist to report health interventions; the TIDieR format and Delphi newlinetechnique was used to collect the expert opinion of the developed intervention. newlineResults: Two sets of results and analyses were compiled with qualitative data, that is, for patients and families. Major themes and sub-themes were developed for both, including family interaction, attachment, poor communication, structural-systemic aspects, distressful family aspects, negative newlineexpressed emotions, cultural aspects, nature of the illness, family s views of the illness and coping mechanisms. These themes indicated the importance of family functioning and its impact on the manifestation of the disorder. newlineConclusion: The researcher concludes that family dysfunction can impact the manifestation of the disorder. Hence, an additional family intervention or psychoeducation is essential for holistic newlinetreatment. -
Development of Optical and Electrochemical Sensor for Environmental Pollutants
Carbon nanocomposites have garnered much attention among various nanomaterials newlineowing to their well-defined characteristics, such as large surface area, biocompatibility, newlineand concise synthetic routes. They are also a viable contender for fluorescence and newlineelectrochemical applications, notably sensing, due to their intriguing photoluminescence and electrochemical features. Fluorescence and Electrochemical sensors for environmental pollutants are constructed using carbon quantum dots with different surface functionalization (functionalized with boric acid, organic dyes, polymer composite, and 2-aminothiazole). The developed sensor was considered as potential material for detecting heavy metal ions and organic pollutants. Surface morphology was analyzed using Transmission electron microscopy (TEM), an X-ray diffraction pattern (XRD), Raman spectra, X-Ray Photoelectron spectroscopy newline(XPS), Optical Profilometry, and Fourier Transform Infrared Spectroscopy (FTIR) newlinestudies. UV-Visible and photoluminescence spectroscopy reveals the absorption, newlineemission, and excitation spectra for the synthesized sensor with and without the addition of analytes. In electrochemical investigations, Nyquist plots showed that the modified working electrodes had the lowest charge transfer resistance when compared to other working electrodes. The effect of pH, ionic strength, long-term storage ability, and quantum yield were optimized for the fabricated fluorescence sensor. For the newlineelectrochemical sensor, the influence of the scan rate and the appropriate thickness of newlinethe electrodeposited film was carefully examined in order to achieve the highest current responsiveness and potential window. Quantification of the analytes was performed newlineusing Forster resonance energy transfer (FRET), Differential Pulse Voltammetry (DPV), newlineand the square wave voltammetry technique (SWV). The designed sensor was used to newlinecarry out analytical corroboration for the real samples. -
Development of personalized diet and exercise recommender system based on clinical data
The present health scenario indicates that thyroid diseases are a common challenge experienced by most individuals. According to the statistics in India, one out of eight women suffer from thyroid-related conditions. Hyperthyroid, hypothyroid, or thyroid cancer are categories of thyroid disorder. It is imperative to maintain optimum levels of secretion of the thyroid hormones as the imbalance could lead to thyroid diseases. Therefore, thyroid patients must be vigilant regarding their iodine intake and follow a customized daily diet and exercise plan. The diet plan, along with balanced iodine levels, must also be able to meet the patient's nutritional needs. A personalized diet plan could help thyroid patients to be more aware and focused on their body metabolism. Existing recommender systems usually provide generic diet recommendations, and unfortunately, it may not be beneficial to patients suffering from a specific disease. Content-based Neighborhood-Conditional RBM (CB-NCRBM) model has posited to recommend Top-3 diet and exercise plans for thyroid patients. The proposed model considers the joint probability distribution of different scores using the user profile. Similarly, preference and health scores are estimated based on content features. The model feeds these scores as visible units to conditional RBM. The proposed model also integrates several content-based features such as users' physiological profiles, thyroid disease information, food, and exercise preferences. The proposed recommender model validates the experimental results using recommendation error and classification accuracy metrics. The proposed hybrid model outperforms several popularly used recommendation models, such as collaborative filtering, content-based, and pure RBM models. The system also provides a feedback loop to enhance the quality of the recommended diet and exercise plans based on user experience. -
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. -
Discrimination and Coping of Old Settlers in Sikkim
The study was conducted to explore the existence and manifestation of discrimination in Sikkim. In the Indian context, race-based discrimination has been extensively studied from the point of view of the northeasterners residing in mainland India. An important reason for this is the differences in race, culture, language, and minority status of the northeasterners in mainland India. However, within the northeastern states all of the above mentioned aspects are reversed newlineand the minority is the mainland Indian community, race-based discrimination has not been studied. Sikkim was considered as the region for study as it is part of the sister states of the northeastern region and the Rajya Sabha Committee on Petitions has acknowledged that discrimination has been practiced in the state. An exploratory sequential mixed design was adopted for the newlinestudy. Eleven telephonic semi-structured interviews were conducted for the qualitative phase with members of the old settlers of Sikkim. A survey was conducted for the quantitative phase. Thematic analysis revealed two global theme, five organizing themes and 44 basic themes. Survey method revealed that 51% of old settlers felt discriminated daily in Sikkim. The results newlinerevealed that race based discrimination does exist in Sikkim with it being purported at newlineinstitutional and interpersonal levels. -
Divergent Synthesis of Azole Tailored Compounds and Their Biological and Photoluminescence Applications
Producing a library of diverse compounds with minor structural differences can provide newlinevaluable information related to the structure-activity relationship (SAR), which would not be possible by studying just one molecule. The main goal of the divergent synthesis approach is to efficiently create a collection of valuable compounds, which is different from the traditional methods of making compounds in a linear or convergent way. This approach, known as divergent synthesis, helps select the best compound from the group for its applications. In the newlinecurrent study, the focus is on synthesizing different types of azoles, such as Thiazole Schiff bases, fused tetrazoles, substituted imidazole, and 1H-tetrazoles, and exploring their potential uses in biological and photoluminescence studies. Several methods were utilized to synthesize the derivatives of azole compounds. The synthesized molecules were examined and identified using techniques like 1HNMR, 13CNMR, Mass spectrometry, and IR spectroscopy. After creating a library of molecules, they were evaluated for their potential applications in biology and photoluminescence. The most promising molecule was selected from the preliminary evaluation for further investigation. newlineThiazole Schiff bases were synthesized, and their photoluminescence properties were newlineinvestigated. Among the synthesized compounds, the bromo derivative showed the most promising results in developing fluorescent organic nanoparticles with versatile applications. The compound delivered exceptional results in aggregation-induced emission (AIE), viscochromism, detection of Al3+ions, pH sensing, latent fingerprint detection, and cell imaging. Synthesis of fused azole-derivatives was accomplished using the organo-catalyst 10- newlinecamphor sulfonic acid. Detailed optimization and mechanistic studies were conducted, along newlinewith evaluating the antifungal activity against Candida tropicalis ATCC 10231 for the newlinesynthesized compounds. -
Divorce prevention programme an intervention based on qualitatively derived psychological themes from newlywed distressed and divorced couples
This study has aimed to develop a competent intervention program as a preventive measure to tackle the increasing divorce rate in the current Indian scenario. Towards this end, the study has been arranged in three phases, with specific objectives guided by specific research questions in each phase. Holding pragmatic philosophical stance, a mixed method framework has directed the entire study, precisely, exploratory mixed design. newlineThe first phase of the study has focused on investigating the in-depth psychological components or etiology of marital distress and divorce in the problem context. Using an Interpretative Phenomenological Analysis (IPA) design, the lived marital experiences of 14 separated and 36 divorced (n=50) newlywed participants has been rigorously explored. Five superordinate themes along with 23 subordinate and 35 emergent themes have been derived in the data analysis, as reasons for marital distress and divorce in newlywed couples. newlineThe challenge of the second phase was to spin a proficient intervention program that is competent to address the identified reasons for marital distress, during the phase-one of the study. Towards this target, the theoretical framework developed by Hughes (1994, 2012 and 2014), Framework for Developing Family Life Education Programme is the model utilized. Following the five steps in the Hughes s framework, the intervention program has been designed and titled Divorce Prevention Programme (DPP). Finally, the phase three task of the study includes experimentation over the immediate and short-term (two-month) effect of the DPP as to what extent marital satisfaction and consummate love would improve to prevent divorce. The pretest, posttest experimental, and waitlist control group design was utilized with a two months follow-up with the experimental group.