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Developing authentic thought leaders through the DREAMS model of social action
DREAMS is a three-year curriculum-based after-school intervention program for enhancing leadership qualities among the underprivileged and college/university youngsters. It is an innovative model providing a platform for the mentors and the mentees to share their thoughts and knowledge and create a future generation with a growth mindset. The current world is expecting authentic thought leadership among its workforces. This leadership would help the constantly changing world to guide and lead the followers effectively for a better outcome. This study explores the impact of the DREAMS intervention program by Christ University in entrenching authentic thought leadership among its undergraduates. The study employs a qualitative approach to explore the perceptions among Christ University undergraduates about the contributions the DREAMS has made to their leadership development. The study finds evidence that DREAMS initiatives at Christ University have transformed undergraduates into authentic thought leaders. 2024 Nova Science Publishers, Inc. -
Developing Critical Thinking Skills Among Secondary School Students: Need of the Hour
Golden Research Thoughts, Vol-3 (2), pp. 1-3. ISSN-2231-5063 -
Developing employment capacity: The impact of academic student organization on the students core competencies
The purpose of this research is to understand the relationship between developing employment capacity with the enhanced core competencies by participating in student body organizations while pursuing their undergraduate degree program. This research aims at understanding the Communication Skills of the Students Core Competencies that are affected by their participation in the student organizations. This research aims at understanding the overall Character Development of the student by their participation in the student organizations. This research aims at understanding the Critical Thinking skills of the students core competencies that are affected by their participation in the student organizations. This research aims at understanding the Career Development skills of the students core competencies that are affected by their participation in the student organizations. This research aims at understanding how the development in the students core competencies help in improving the students employment capacity. This is an empirical study carried out using primary and secondary methods of data collection. Literature of relevant topics were gathered and studied to assist in the study. A questionnaire was circulated to 350 respondents in order to gather information. This study shows that the students who are actively involved in student organizations develop core competencies that help them during employment. The study has proved the students develop better skills which are very useful for their life. The limitations of the study are that all the students do not develop similar skills because they play various different roles in the student organizations. Some students are less involved and the research does not take into consideration the degree of involvement. The study aims to ultimately create a system that measures the students performance and involvement in the organizations. The university can motivate students and encourage them to be more enthusiastic about participating in student organizations. 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Developing the assessment questions automatically to determine the cognitive level of the e-learner using NLP techniques
The key objective of the teaching-learning process (TLP) is to impart the knowledge to the learner. In the digital world, the computer-based system emphasis teaching through online mode known as e-learning. The expertise level of the learner in learned subjects can be measured through e-assessment in which multiple choice questions (MCQ) is considered to be an effective one. The assessment questions play the vital role which decides the ability level of a learner. In manual preparation, covering all the topics is difficult and time consumable. Hence, this article proposes a system which automatically generates two different types of question helps to identify the skill level of a learner. First, the MCQ questions with the distractor set are created using named entity recognizer (NER). Further, based on blooms taxonomy the Subjective questions are generated using natural language processing (NLP). The objective of the proposed system is to generate the questions dynamically which helps to reduce the occupation of memory concept. 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. -
Development and Analysis of Current Collectors for Proton Exchange Membrane Fuel Cells
Hydrogen fuel cells are gaining popularity in power-consuming devices due to their zero-emission characteristics. However, ohmic resistance, which arises from the resistance to electron flow through the electrodes and external circuit, can cause reduced efficiency and voltage drops in a fuel cell. This research aims to develop current collector plates for proton exchange membrane fuel cells with optimal design, high electrical conductivity, and thermal conductivity to mitigate ohmic resistance. Six different designs and five different materials-copper, brass, aluminum, stainless steel 316, and stainless steel 304 were considered for this purpose. The study involved experimental electrical conductivity and fuel cell performance tests to identify the best material and design for the current collector. Results indicated that brass and copper exhibited the least resistivity and favorable material characteristics. Consequently, all six current collector plate designs were developed using brass and copper with various machining and finishing processes. Performance testing on a fuel cell test station revealed that brass current collector plate design 5, featuring open ratios, demonstrated superior performance. Ultimately, the optimum design and material selection of the current collector plates have led to the development of fuel cells with reduced ohmic resistance and improved overall performance. 2024, Politechnika Lubelska. All rights reserved. -
Development and characterization of carbon fiber reinforcement in Aluminium metal matrix composites
Carbon fibers (CF) possess exceptional mechanical properties and the highest degree of chemical stability. However, carbon reinforcement in metal matrix composites is extremely scarce due to production difficulties, particularly in obtaining a uniform distribution. Carbon fiber reinforced composites are typically made using high temperature processing processes. However, the fibers must be coated with Ni or Cu in order to achieve effective particle dispersion; otherwise, there is a larger likelihood of intermetallic compound formation, which reduces the chances for enhanced properties. In this work, the metallurgical, mechanical, and tribological characteristics of the carbon fiber reinforcement in AA 7050 are examined. Uncoated carbon fibers are reinforced into the Aluminium matrix using a low temperature processing technique known as powder metallurgy. The AA 7050 matrix reinforced with carbon fibers at various weight percentages between 0 and 1.5. The samples undergone mechanical and metallurgical testing in accordance with ASTM guidelines. The findings indicate that the 0.25 weight percent carbon fiber reinforcement in the matrix increased the material's hardness by 30% over the monolithic alloy, making it an excellent alternative for structural applications. Published under licence by IOP Publishing Ltd. -
Development and effectiveness 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 imperative that we identify, as early as possible, children ‘at risk’ for learning difficulties 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. -
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 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 Enhancement 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 the 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 the state syllabus and English medium of instruction, which are situated in South Bengaluru were selected. Initial screening consisted of an assessment of SLD and intelligence to select participants. Out of 100 students with SLD, 50 students each were randomly allocated to experimental and control groups. -
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 Evaluation of an Artificial Intelligence-Based System for Pancreatic Cancer Detection and Diagnosis
Due to its aggressive nature and late-stage manifestation, pancreatic cancer is a difficult illness to find and diagnose. The creation of a pancreatic cancer detection and diagnosis system based on artificial intelligence (AI) has the potential to increase early detection and improve treatment results. We have described the creation and assessment of an AI-based system in this paper that is intended for the identification of pancreatic cancer. A large dataset including a variety of medical pictures, including CT scans, MRI scans, and PET scans, as well as the related clinical information, was gathered for the study. With the help of the annotated dataset, a deep learning model built on convolutional neural networks was created. The proposed AI-based solution was then assessed using a separate test dataset made up of control cases and known pancreatic cancer patients. A significant effectiveness for the early diagnosis of the disease was shown by the systems excellent precision as well as sensitivity in identifying pancreatic tumors. The outcomes of this investigation demonstrate the promise of AI-based systems for pancreatic cancer detection and diagnosis. 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
DEVELOPMENT AND EVALUATION OF PNEUMFC NET: A NOVEL AUTOMATED LIGHTWEIGHT FULLY CONVOLUTIONAL NEURAL NETWORK MODEL FOR PNEUMONIA DETECTION
The aim of this study is to address the challenges of pneumonia diagnosis under constraint resources and the need for quick decision making. We present the PneumFC Net, a novel architectural solution where our approach focuses on minimizing the number of trainable parameters by incorporating transition blocks that efficiently manage channel dimensions and reduce number of channels. In contrast to using fully connected layers, which disregard the spatial structure of feature maps and substantially increase parameter counts, we exclusively employ only convolutional layer approach. In the study, X-ray image dataset is used to train and evaluate the proposed Convolutional Neural Network model. By carefully designing the architecture, the model achieves a balance between parameters and accuracy while maintaining comparable performance to pre-trained models. The results demonstrate the model's effectiveness in detecting pneumonia images reliably. In addition, the study examines the decision-making process of the model using Grad-CAM, which helps to identify important aspects of radiographic images that contribute to the positive pneumonia prediction. Furthermore, the study shows that the proposed model, Pneum FC Net not only has the highest accuracy of 98%, but the total trainable model parameters is only 0.02% of the next best model VGG-16, thus establishing the potential of this new robust Deep Learning model. This research primarily addresses concerns related to mitigating significant computational requirements, with a specific focus on implementing lightweight networks. The contribution of this work involves the development of resource-efficient and scalable solution for pneumonia detection. 2024 Little Lion Scientific. All rights reserved. -
Development and evaluation of the bootstrap resampling technique based statistical prediction model for Covid-19 real time data : A data driven approach
The objective of the article is to develop earlyR package based novel coronavirus disease (COVID-19) forecasting model. The reported COVID-19 serial interval data is applied for obtaining maximum likelihood value of the reproduction number (R0) using maximum likelihood approach and projections package is applied for getting trajectories of epidemic curve. The minimum, median, mean and maximum projected value of R0 with 95% confidence interval (CI) is obtained by using bootstrap resampling strategy and the predicted cumulative probable count of new cases is also presented with different quantile. To validate the results with real scenario, the past COVID-19 data is considered. The % error rate ranges from -7.91% to 21.27% for the developed model for the five Indian States. 2022 Taru Publications. -
Development and Exploratory Factor Analysis of a United States Version of the International Survey of School Counselors Activities
This manuscript details the development and exploratory factor analysis of a United States version of the International Survey of School Counselors Activities (ISSCA-US), a 42-item instrument that identifies activities of school counselors. Responses were collected from 390 US school counselors. Separate EFAs were conducted for two distinct sections of the survey involving appropriateness of role activities and their actually being undertaken, both resulting in reliable 6-factor models. 2018, Springer Science+Business Media, LLC, part of Springer Nature. -
Development and implementation of algorithm for image preprocessing and 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 among 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 information 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; and enhancing the quality of microscopic images. -
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 Psychometric Validation of Teachers Receptivity to Change Scale
In this article, we report the development and psychometric validation of the Teachers Receptivity to Change Scale (TRCS). The sample included secondary school teachers of Kerala, India. In India, the teachers receptivity to change becomes important in the context of the newly drafted National Education Policy, (2020) which places teachers at the center of the reforms. The present study proceeded through five phases namely item analysis, exploratory factor analysis, confirmatory factor analysis, validation of the scale, and testretest reliability. The development of the tool started with the generation of a pool of items followed by item analysis. The exploratory factor analysis extracted four factors and the confirmatory factor analysis confirmed the four-factors namely individual, organizational, educational, and bridging factors. The structural equation modelling established the four-correlated factor construct of teachers receptivity to change and an additive model indexing teachers receptivity to change as the sum of the four factors. Both the model fit indices indicated an excellent fit. The validity of the TRCS established by correlating the teachers receptivity to change and its factors with multidimensional work motivation scale and engaged teachers scale indicated a moderate correlation. The final 28 item TRCS showed adequate internal consistency (Cronbachs alpha = 0.897) and discriminant validity. The test re-test reliability analysis (Cronbachs alpha = 0.884) confirmed the temporal stability of the scale. The findings recommend a psychometric reliable and valid scale for assessing teachers receptivity to change with implications for teachers, researchers, and policy makers. De La Salle University 2023.