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Developing a global sustainable electricity use index using the pressure-state-response framework
This study analyse and compare the sustainable electricity usage in 60 countries listed on the official websites of World Energy Consumption Statistics and Climate Bond Initiative. The study also analyses the impact of increased usage of sustainable electricity on the economies' dependence on non-renewable energy sources in the evaluation system. We used a standard index system based on the Pressure-State Response (PSR) model to measure global sustainable electricity usage. Model results convey that Norway is the best performer in sustainable electricity usage, while several European countries display commendable scores, confirming their commitment to sustainable electricity practices. On the other hand, despite being the leading economies in terms of GDP, major economies such as the United States, China, Japan, and India have underperformed compared to others in the evaluation system. The study employs regression techniques to explain the relationship between sustainable electricity usage and non-renewable energy dependence. Results confirm a negative relationship between the variables, indicating the role of sustainable energy practices in reducing fossil fuel consumption. It emphasizes the urgency of a balanced approach to economic growth and natural resource usage to support a green future. 2024 Elsevier Ltd -
Developing a steady state wear equation for AA7050 hybrid composites/steel interface at elevated temperature
In this research work, an attempt was made to reinforce AA7050/5Gr composites with multi-walled carbon nanotube (MWCNT) of varying weight percentages processed through stir casting route. SEM with EDS mapping revealed that the particles were uniformly distributed over the composites. Hardness reduces with increasing MWCNT weight percentage owing to the inverse hall petch effect and increment in void content. A third-body abrasion, which happens when the CNT in the aluminium matrix material detaches from the surface and erodes material from the composites pin as well as the counter face, causes the wear resistance to rise with the addition of CNT particles. A mechanically mixed layer, which avoids direct metal-to-metal contact and thus increases wear resistance, was created at the abraded surface and at high temperature, where the reduction of wear rate was due to the development of oxide protective layer. A steady-state wear equation for the contacting surface at high temperature (R = 1/Y ?(ln W/2X)) for AA7050 hybrid compositessteel interface was developed. The enhancement in wear resistance was directly proportional to the proportion of ferrous content present on the surface, which was confirmed on the elemental analysis. Pock marks, micropits, craters and cracks were the features observed on the worn surface morphology, whereas delamination and plasticisation were the observed modes of wear mechanism. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
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 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 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. -
Development and psychometric validation of the three dimensional grit scale
This manuscript reports the development and validation of the three-dimensional Grit Scale (3-D Grit Scale). The psychometric measure developed has three factors, Perseverance-Commitment (PC), Interest-Passion (IP), and Goal-directed Resilience (GR) through a series of five studies; study 1 (n = 409) for item analysis, study 2 (n = 334) for exploratory factor analysis, study 3 (n = 514) for confirmatory factor analysis and study 4 (n = 214) and 5 (n = 107) to assess the validity. The sample included students and working professionals aged between 18 and 25, residing in different parts of India. Exploratory and confirmatory factor analyses indicated that the scale excellently fits in the three-correlated factor model and the two-level hierarchical model indexing grit as a total of three first-order factors. The final 17-item 3-D Grit Scale showed adequate internal consistency (Cronbachs ? = 0.86), and split-half reliability (Spearman-brown = 0.80, Guttman = 0.80). Validation studies showed that the scores of the 3-D Grit Scale were moderately correlated with (a) 12 item grit scale (Duckworth et al., 2007) and the brief resilience scale (smith et al., 2008), indicating good concurrent and convergent validities (b) conscientiousness revealing that both the constructs are mutually exclusive. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Development and validation of a multi-dimensional scale to measure the factors influencing fintech firms capacity to impact digital financial inclusion
The purpose of the present study is to develop a multi-item scale to measure the factors that affect fintech firms capacity to impact digital financial inclusion. Fintech, or financial service delivery supported by advanced technology, has tremendously changed the financial services landscape. It has a potential to improve digital financial inclusion and help the poor. Digital financial inclusion is important since it ensures cost-saving digital mechanisms to provide financial services to the financially excluded and underserved populations. Following an inductive method, a qualitative study was undertaken among managerial staff in fintech firms. The scale development process involved the collection of primary data for pre-testing the questionnaire. The study identified four factors that affect a fintech firms capability of impacting digital financial inclusion: resources and capabilities, business models, networks and partnerships, and market and environment. Digital financial inclusion scale is composed of digital skills, access, and quality of access. The final scale consisted of sixty-four items. Though financial inclusion is usually measured from a demand-side perspective, this study provides a supply-side measure for digital financial inclusion. Thus, it can help in identifying and understanding the factors that may hamper fintech firms capability to attain desirable outcomes with respect to digital financial inclusion. 2024 Conscientia Beam. All Rights Reserved. -
Development and Validation of Emotion Recognition Software in the Indian Population
Though written extensively, recent debates on universality of emotions have shown that age, gender, and ethnicity have greater implications in the ability to identify expressions from faces. Facial emotion recognition deficits have been consistently shown in psychiatric conditions, which necessitates the need to construct a culturally sensitive tool. Fourteen actors depicted emotions such as happy, sad, anger, fear, surprise, disgust, and neutrality. From a total of 126 images, participants rated in terms of intensity and accuracy. Final software was developed with 28 images, and mean accuracy and reaction time were obtained. Friedmans significance test revealed a significant effect of emotion on its different dimensions. This study helped establish a culturally sensitive emotion recognition tool with the Indian population, which can be used in mental health settings for screening purposes and aid in developing rehabilitation modules. 2020, National Academy of Psychology (NAOP) India. -
Development and validation of gaming disorder and hazardous gaming scale (GDHGS) based on the WHO framework (ICD-11 criteria) of disordered gaming
This study aimed to develop and validate a brief psychometric scale for gaming disorder and hazardous gaming based on the WHO framework as defined in the ICD-11. The study was carried out among college students using face to face interview. A panel of mental health experts examined the face validity of the new Gaming Disorder and Hazardous Gaming Scale (GDHGS). An Exploratory Factor Analysis (EFA) using the principle component analysis (PCA) method with direct oblimin rotation on the five items of GDHGS was used for assessment of construct validity. The results of Kaiser Meyer Olkin (KMO) measure used for sampling adequacy and Bartlett's test (BT) of sphericity used to show the appropriateness of using factor analysis, confirmed the appropriateness of EFA for the present study sample. The factor analysis extracted single component with an eigenvalue of greater than one, which was further supported by the examination of scree plot. To examine the criterion related validity of the GDHGS, correlation between GDHGS and IGDS-SF scores was assessed. Spearman correlational analysis showed strong positive correlation of GDGHS score with IGDS-SF score (rs = 0.878, p < 0.01). Further, the sum of first four item score of GDHGS among participants diagnosed with GD (median: 15.00; IQR: 15.0015.75) was significantly greater than those without GD (median: 4.00; IQR: 3.006.50) according to the diagnostic interview based on the ICD-11 criteria (U = 0.000, p < 0.001). The internal consistency of GDHGS as measured by the Cronbach's alpha was 0.914. Further, the GDHGS did not have its reliability increased by removal of any of the five items included in the scale. Also, the threshold for significant floor and ceiling effect was not reached. In conclusion, GDHGS is a valid measurement scale for disorders involving gaming behaviour based on the ICD- 11 construct. 2020 Elsevier B.V. -
Development and validation of multi-dimensional scale of grit
Positive psychology nurtures the potent qualities of individuals and aids them in carving a niche for themselves. Based on this theoretical foundation, a non-cognitive trait-like grit plays an imperative role in attaining high achievement. Previous studies have identified three dimensions of grit: perseverance of effort, consistency of interest and adaptability to situations. Recent research has criticized the dimension consistency of interest in a collectivist context. The present study provides an account of grit in view of eastern perspectives to check the suitability of the construct in India. Current findings provide a framework for the development and validation of Multi-Dimensional Scale of Grit reveals four dimensions of grit, namely, adaptability to situation, perseverance of effort, spirited initiative and steadfastness in adverse situations. It also provides an insight regarding the duration of goal attainment with respect to grit. The research conducted over three studies included Indian university students to develop and examine the psychometric properties of grit. Study 1 focused on item analysis and development of the factor structure through exploratory factor analysis. Study 2 confirmed the previously obtained factor structure through confirmatory factor analysis. In study 3, the psychometric properties of the scale were measured through test-retest reliability and validity, criterion, convergent and divergent. Results indicated that Multi-Dimensional Scale of Grit is a reliable and valid measure. It also indicated that the obtained 12 items and four dimensions were in synchronization with the relevant eastern perspective. 2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Development and validation of superstitious beliefs scale
Superstitions though considered as irrational beliefs are widely prevalent in all cultures. Most of the existing work on superstitions are predominantly based on traditional western beliefs. The relevance of established superstition scales which are developed in western societies in collective societies need to explored. Interdependent nature of self which is a characteristic of collectivistic culture also has a role in belief formation. The present study aims at developing a new self-report measure of superstitious beliefs scale. Study 1, focused on exploring the factor structure and establishing reliability over a sample of 338 undergraduate students. The 17-item Superstitious Belief Scale (SBS) developed distinguishes a six-factor structure namely, Popular Beliefs, Belief in Good Luck, Belief in Bad Luck, Personal Superstitions and Social Superstitions. The six-factor structure was evaluated on a new sample (N = 483) using confirmatory factor analysis in Study 2. The internal consistency values of the new SBS over Studies 1 and 2 indicated high reliability. The findings have important implications for existing theory on superstitions. The new framework proposes and demonstrates the need to base the understanding of measurement of superstitious beliefs relevant in India. AesthetixMS 2020. -
Development and Validation of the Multidimensional Psychosocial Risk Screen (MPRS): An Approach towards Primary Prevention
Background: The prevalence of mental health problems in adolescents has been identified as a global concern. Early screening and identification can offer benefits in terms of primary prevention and reduced healthcare costs. This study aimed to develop a tool to assess the risk of developing mental health problems in adolescents. Methods: The study followed an exploratory sequential design and was divided into five phases. The Multidimensional Psychosocial Risk Screen (MPRS) is a newly developed self-report measure. The various steps in its development and validation have been elaborated. The MPRS was evaluated with a sample of 934 adolescents aged 12-18, spread across the 8th-12th grade. Results: Exploratory and confirmatory factor analyses revealed a robust factor structure. The extracted five factors were named as Parent-Child Relationship (PCR), Self-Concept (SC), Teacher-Student Dynamics (TSD), Social Media Use (SMU), and Peer Interaction (PI). The reliability of the subscales ranged from 0.60 to 0.80. The overall reliability of the scale was good (a = 0.87). Convergent validity of the scale was established using standard measures of risk factors and emotional and behavioural problems. Conclusions: The MPRS can be considered an effective tool with an adequate factor structure and good psychometric properties. It can be beneficial in the early detection of vulnerabilities to mental health problems in adolescents and, therefore, seen as a key element in primary prevention and fostering individualized interventions. 2023 The Author(s). -
Development and Validation of the Social Media Self-Esteem Scale for Adolescents
Development of the self is a vital aspect during the period of adolescence. Interaction with peers contributes to the development of various aspects of self. Due to the technological advances in todays times, adolescents interact with their peers through social media sites and portals. It is essential to study this development in light of the increasing use of social media by adolescence. Thus, the study aimed at developing an item pool to tap the construct of social media influencing self-esteem of adolescents following the procedure of tool construction. Participants included adolescents ranging between 16 to 18 years of age, who have at least one social media account for personal use. There were 110 participants for the first phase and 397 participants for the second phase of the study. The scale has eight items with the overall reliability of .7. It indicates a fitting measure of self-esteem influenced by social media, with looking-glass self theory, according to which individuals develop their self, based on their perceptions of others responses to their behaviour. Copyright 2020, IGI Global. -
Development and Validation of the UV-Spectrophotometric Method for the Determination of Cordycepin, a Nucleoside
The primary, bioactive component of Cordyceps militaris, known as cordycepin (3'-deoxyadenosine), has been utilized extensively as a traditional medicinal ingredient and a nutritious diet in Asian nations. To determine the amount of cordycepin in the C. militaris, high-performance liquid chromatography (HPLC) is shown to be an effective, sensitive, and straightforward analytical technique. Other methods for estimating cordycepin include near infrared spectroscopy and capillary electrophoresismass spectrometry. The UV-Vis spectroscopy approach was used to quantify cordycepin, and the results were statistically confirmed and compared with an HPLC method. For linearity, repeatability, precision, reproducibility, limit of detection and limit of quantification, the method was verified. The established approach can be utilized for routine, quality control analysis of cordycepin, as it is easy to use, sensitive, accurate, precise, repeatable, and most importantly, cost-effective. Springer Science+Business Media, LLC, part of Springer Nature 2024. -
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.