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Effectiveness of emotion recognition tranining on socail and emotional skills in young children with autism spectrum disorder
The rising prevalence of Autism Spectrum Disorders necessitates the determination of newlinenovel intervention methods for its management. Since deficits in social skills are one of the most prominent features in ASD, efficient interventions for improving social skills become necessary. Several studies suggest a strong relationship between newlineemotional skills and the acquisition of social skills. Objectives: The objective of this study was to find out the effectiveness of emotion recognition training on the social newlineand emotional skills of children with ASD by obtaining quantitative results from the newlineparticipants after emotion recognition training and then following up in-depth through a qualitative thematic analysis after interview with selected parents of the participants. Method: In the quantitative phase, a sample of ten children within three to six years of age who are diagnosed with ASD were selected for the study. The emotion newlinerecognition training followed the modified and adapted version of the hands-on newlineactivities from the Let s Face It curriculum which was validated after a pilot study. Each child was given 20 to 30 sessions of training. The participants were assessed for their social skills using VABS-3 and emotional skills were assessed using CDDC, newlinebefore, during, and after the training. The qualitative phase involved an interview with newlinethe parent using a semi-structured guide. Results: The quantitative and qualitative newlineresults indicated that there is a significant difference in the social skills and emotional newlineskills of the children after the training. The results also showed a sufficient newlinegeneralization of the skills achieved. Incidental finding revealed reduction of problem behaviours. Conclusions: The study clearly shows that emotion recognition training is effective in improving social and emotional skills in children with ASD. -
Effectiveness of emotion recognition training on social and emotional skills in young children with autism spectrum disorder
The rising prevalence of Autism Spectrum Disorders necessitates the determination of novel intervention methods for its management. Since deficits in social skills are one of the most prominent features in ASD, efficient interventions for improving social skills become necessary. Several studies suggest a strong relationship between emotional skills and the acquisition of social skills. Objectives: The objective of this study was to find out the effectiveness of emotion recognition training on the social and emotional skills of children with ASD by obtaining quantitative results from the participants after emotion recognition training and then following up in-depth through
a qualitative thematic analysis after interview with selected parents of the participants. Method: In the quantitative phase, a sample of ten children within three to six years of age who are diagnosed with ASD were selected for the study. The emotion recognition training followed the modified and adapted version of the hands-on activities from the ‘Let’s Face It’ curriculum which was validated after a pilot study. Each child was given 20 to 30 sessions of training. The participants were assessed for their social skills using VABS-3 and emotional skills were assessed using CDDC, before, during, and after the training. The qualitative phase involved an interview with the parent using a semi-structured guide. Results: The quantitative and qualitative results indicated that there is a significant difference in the social skills and emotional skills of the children after the training. The results also showed a sufficient generalization of the skills achieved. Incidental finding revealed reduction of problem behaviours. Conclusions: The study clearly shows that emotion recognition training is effective in improving social and emotional skills in children with ASD. -
Effectiveness of dialectical behavior therapy as a transdiagnostic treatment for improving cognitive functions: a systematic review
Dialectical behavior therapy (DBT) has been found to be an efficacious treatment for disorders characterized by high levels of emotional instability. In view of the multifaceted applications of DBT and the extent to which mental disorders can incapacitate cognitive functions, the current systematic review aimed to investigate the effect of DBT in strengthening cognitive functions across various mental health conditions. Original research studies employing both experimental and quasi-experimental designs were included in the review. The literature search was done using different electronic databases, from the first available literature until June 2022, that covered an approximate period of ten years. Joanna Briggs Institute checklist was used to assess the methodological rigor of the studies. Twelve studies conducted on adolescents with emotional dysregulation, and adults with borderline personality disorder, bipolar disorder, attention deficit hyperactivity disorder, and multiple sclerosis were selected. Results indicate that DBT has the potential to improve key cognitive functions such as attention, memory, fluency, response inhibition, planning, set shifting, tolerance for delayed rewards and time perception, as assessed by neuropsychological tests, self-report of cognitive functions, and neuroimaging techniques. Considering the review's findings that showcase the effectiveness of DBT in fostering improvements in cognitive functions, DBT may possibly be chosen as a preferred treatment to ensure that patients reach optimal levels of cognitive functioning. Limitations include lack of sufficient studies encompassing all the common mental health conditions, usage of neuroimaging techniques as only an indirect measure of cognitive functioning and nuances related to the quality of individual studies. Author(s), 2023. -
Effectiveness of Couple Interventions in Marital Distress: A Systematic Review and Meta-Analysis
Background: Couple interventions focus on resolving relationship issues and improving partners' intimacy. Several intervention models are used on different occasions to deal with the issues. The present systematic review and meta-analysis investigated the effectiveness of such couple interventions dealing with marital distress. Methods: Using the PRISMA guidelines for reporting systematic reviews and meta-analyses, a search was carried out to identify published articles in the areas of study. The meta-analysis investigated the effectiveness of couple interventions by comparing the post-intervention assessments of the experimental and control groups. Results: The systematic review helped to identify twelve empirical studies published within the last ten years in the following databases: ScienceDirect, EBSCO, APA PsycINFO, NCBI, ProQuest, and Google Scholar. Meta-analysis showed a statistically significant overall effect size (Cohen's d = 0.85, 95% CI: 0.56-1.14). Cochran's Q showed that there was a substantial difference between the studies. There were signs of publication bias. Conclusion: The current study revealed an overall large effect size, indicating that different couple interventions had a noticeable impact on distressed couples who received interventions as opposed to couples who did not receive any interventions. 2025 Joesph et al. -
EFFECTIVENESS OF COGNITIVE BEHAVIOURAL THERAPY FOR ADULTS WITH DEPRESSION AND ANXIETY DURING COVID-19: A Systematic Review of Randomised Controlled Trials
Introduction: The COVID-19 pandemic has forced the administration of Cognitive Behavioural Therapy (CBT) either face-to-face or online. This systematic review aims to assess the effectiveness of CBT and Internet-Delivered CBT (iCBT) in treating depression and anxiety disorders during the COVID-19 outbreak. Methods: Three independent reviewers searched the Web of Science, PubMed, Cochrane Library, and Clinical Trial Databases using specific search phrases. PubMed searches included Cognitive Behavioural Therapy/Intervention and COVID-19 and 2019 Coronavirus Disease or 2019-nCoV, internet-administered/internet-based cognitive behavioural therapy, CBT, cognitive behavioural treatment. Two independent reviewers evaluated the risk of bias at the study level, with disagreements settled through discussion with other research team members. The study findings were reported as per the PRISMA guidelines. Results: Thirty-one studies met the inclusion criteria, and 17 were randomised controlled trials. The studies demonstrated that CBT and iCBT effectively treated depression and anxiety disorders during the COVID-19 pandemic. However, a hybrid CBT modality was more beneficial from a long-term perspective. Conclusion: The findings suggest that CBT and iCBT effectively treat depression and anxiety disorders during the COVID-19 pandemic. However, further research is needed to establish these interventions long-term effectiveness and identify the optimal mode of delivery for different populations. 2024 selection and editorial matter, Dr Rajesh Verma, Dr Uzaina, Dr Tushar Singh, Dr Gyanesh Kumar Tiwari, and Prof Leister Sam Sudheer Manickam. -
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Effectiveness of Classroom Interaction on English Language Production in Tamil Medium Schools in Coimbatore
The research study emphasized the importance of classroom interaction (CI) in English language classes for language learning among second language learners of English based on the interaction approach to language learning. The present study attempted to address the problem of students entering the tertiary level of education with dissimilar levels of English language proficiency due to the inequity in English language education among various types of schools in India. newlineThe main purpose of the study was to facilitate classroom interaction (CI) for newlineEnglish language learning in the context through the development of an Interactive Hour module and thereby providing opportunities for disadvantaged learners to be exposed to a graded target language and enabling them to produce the target language inside classroom spaces with corrective feedback on language use. The research was carried out in two phases using mixed methods research design in government-aided Tamil medium schools in the district of Coimbatore, newlineTamil Nadu, India. Phase I of the study, which was majorly qualitative in nature, was conducted to establish the need for the study in the context. It was aimed to Systematically present the actual teaching and learning scenario of English language classrooms in government-aided schools in Tamil Nadu in comparison to what is mentioned newlinein the national and state education policy notes and official documents related to newlineEnglish language teaching. The major objectives of phase I of the study were to newlineunderstand the pedagogic goals of English language teachers and their classroom newlineinteractional awareness and to observe and evaluate the nature and extent of classroom interaction in English language classes in the context of language policy and planning. -
Effectiveness of blended classroom among varied streams of undergraduate language learners An Experimental Study
Technology has become an integral part of learners today and keeping with the time, researchers have developed learning methods that address this issue. There have been several methods developed to address this issue. One of the most successful techniques that has in the recent past contributed largely to active learning is flipped classroom. Communication skills is the need of the hour, to ensure an employable community this study endeavours to develop a learning technique that will nurture active learners and improve their communication skill in a technology oriented community. Hence the paper aims at finding and deliberating the efficacy of implementing flipped classroom to improve communication skills among undergraduate learners from science and humanities majors. BEIESP. -
EFFECTIVENESS OF BILLBOARD ADVERTISING IN REAL-ESTATE AND AUTOMOBILE ADVERTISING
Advertising is one of the important types of communication in todays world and it has become an indispensable for both the consumer and the producer of it. Advertising plays an important role in the integrated marketing communication. In todays information age it is necessary for an organization or institution make the public aware of their goods and services and advertising acts as tool to serve this purpose. There are various types of advertising such as Out-door Advertising, In-door advertising, Non-product advertising, Radio advertising, Television advertising, National advertising, International advertising, Retail advertising, classified advertising and local advertising to name a few. Outdoor advertising is less touched subject within the field of advertising. Though there have been some research on the creative execution, improving attention to the billboards there is not much attention given to examine the effectiveness of billboard advertising. Billboards as a medium of advertising have been used by the advertisers in various parts of India. It is normally situated along the traffic prone roads, main streets, commercial centres, on flyovers and on highways. The purpose of it is to make people (pedestrians, drivers, and passengers) aware of the products and services which are available in the market and which intern leads to the buying and selling between consumer and manufacturer. In todays world the outdoor advertising, especially billboard advertisements are used extensively by the Real-estate and Automobile advertisers. It is important to know are people noticing these billboard advertisements and how it is influencing the people in their purchase decision making process of these Goods being advertised. It is also important to know why do Real-estate and Automobile advertisers prefer advertising on billboards rather than other media such as television, Radio and Print. -
Effectiveness of Awareness Program in Raising Teachers Awareness about Learning Disabilities
??Learning Disabilities is a term associated with difficulties in reading, writing, doing Maths and motor coordination. Awareness about learning disabilities is required for early identification and further remediation. A learning disability in a child can be identified as early as in toddler stage. Teachers are the first ones , usually to suspect a learning disability in a child. For appropriate observation and referrals for further assessment , a teacher should be aware of the various characteristics of learning disabilities which differs from individual to individual. Literature says that there is need of raising the awareness of teachers about learning disabilities and its various etiological factors. Awareness program could help in enhancing the knowledge of teachers in this regard. The current study was organised with an aim of conducting an awareness program to raise teachers knowledge about learning disabilities. 20 teachers, teaching in a Government school in Thiruvananthapuram, Kerala was selected for the study. A pre experimental study pre post without control was designed. The intervention package was framed with comprehensive information about the concept, characteristics, kinds, signs, symptoms, strategies and guidelines for early identification. The awareness of the teachers prior to and post intervention was assessed using a semi structured questionnaire. The effectiveness of the awareness program was gauged using statistical analysis. The findings of the study proved that the knowledge of the teachers about learning disabilities has significantly increased post intervention. The knowledge level was shifted from moderate level, prior to intervention to high level post intervention. The feedback from the teachers ascertained that the program was very useful and interesting. Awareness programs of similar kind are recommended in a broader spectrum. -
Effectiveness of anti-smoking PSAa: A comparative study /
The purpose of the study is to find out whether anti-smoking Public Service Advertisements are well strategized attempts to create and spread awareness about a public issue that could affect deeply seated public attitudes and behaviour. The study also highlights the ways in which anti-smoking PSAs are produced in different parts of the world and how it has brought changes in the public behaviour. -
Effectiveness of adjuvant psychological therapy on alexithymia fatigue and affective dimensions among women with breast cancer
Psychological aspects in women with breast cancer are many. Among them are those related to what patients go through at different phases of treatment such as newlinediagnosis, pre and post-surgery, chemotherapy and radiotherapy. Women with breast cancer experience psychological repercussions which are specific to them. Some of them are poor body image, self-depreciation, weight changes and hair loss can be distressing to women with breast cancer. newlineThe underlying cause could be a deficit in emotional processing and affect regulation. This could lead to an inability in verbalising and identifying feelings newlinewhich is known as alexithymia. Closely related is the concept of fatigue which is newlinesubjective and tiredness which could last beyond treatments related to cancer. An newlineoverriding concept which could explain and understand these concepts is affect and newlinemood. Towards this end the objective of the study was to examine the efficacy of adjuvant psychological therapy in breast cancer in terms of alexithymia, fatigue, newlinedepression, anxiety, stress and positive and negative affect. newlineThe study also explored if there was an association among alexithymia, fatigue, depression, anxiety, stress and negative affect. The study consisted of 20 patients in the intervention and control groups each. newlineThey were administered the following scales namely, Toronto Alexithymia Scale (TAS-20), Checklist of Individual Strength, Positive and Negative Affect Scale and Depression, Anxiety and Stress Scale. Towards the end of the sessions, they were administered Revised Sessions Reactions Scale. Adjuvant Psychological Therapy is a therapy tailor made for those with cancer which includes both cognitive and behavioral techniques. The results indicated that among the subscales and total alexithymia scores, newlinethere were statistically significant differences across three time-frames in the newlineintervention group. -
Effectiveness of activity based program in enhancing fine motor skills of children with dyspraxia /
Scholedge International Journal Of Multidisciplinary & Allied Studies, Vol.2, Issue 5, pp.502-510, ISSN No: 2394-336X. -
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Effectiveness and Perception of 4P's on Green Products in FMCG
International Journal of Multidisciplinary Research and Development, Vol. 3, Issue 11, pp. 311-355, ISSN No. 2349-4182 -
Effective View of Swimming Pool Using Autodesk 3ds Max: 3D Modelling and Rendering
As well as setting up the sources, working with editable poly, information in the interior of the swimming pool, using turbo-smooth and symmetry modifier, this procedure of making a 3D swimming pool model is clarified. The lighting the scene and setting up the rendering, the method in which substances are added to the replica is defined. The methods and techniques of rendering are defined, too. The final rendering is the result of multiple images being drawn. The aim of our research work is to create a swimming pool design with enhancing models with materials affect. The shapes used for that are cylinder, sphere, box, plane and splines. The modifiers are editable poly, editable spline and UVW map. Finally, we used a material editor and target lights for enhancing the model. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Effective time context based collaborative filtering recommender system inspired by Gowers coefficient
The fast growth of Internet technology in recent times has led to a surge in the number of users and amount of information generated. This substantially contributes to the popularity of recommendation systems (RS), which provides personalized recommendations to users based on their interests. A RS assists the user in the decision-making process by suggesting a suitable product from various alternatives. The collaborative filtering (CF) technique of RS is the most prevalent because of its high accuracy in predicting users' interests. The efficacy of this technique mainly depends on the similarity calculation, determined by a similarity measure. However, the traditional and previously developed similarity measures in CF techniques are not able to adequately reveal the change in users' interests; therefore, an efficient measure considering time into context is proposed in this paper. The proposed method and the existing approaches are compared on the MovieLens-100k dataset, showing that the proposed method is more efficient than the comparable methods. Besides this, most of the CF approaches only focus on the historical preference of the users, but in real life, the people's preferences also change over time. Therefore, a time-based recommendation system using the proposed method is also developed in this paper. We implemented various time decay functions, i.e., exponential, convex, linear, power, etc., at various levels of the recommendation process, i.e., similarity computation, rating matrix, and prediction level. Experimental results over three real datasets (MovieLens-100k, Epinions, and Amazon Magazine Subscription) suggest that the power decay function outperforms other existing techniques when applied at the rating matrix level. 2022, The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden. -
Effective Testing: A case study approach for improving test efficiency
The study presented in this thesis investigates the methods for improving the software test efficiency. Test efficiency measures the cost-effectiveness of a test organisation and it is measured by dividing the number of defects found in a test by the effort needed to perform the test. A review of the literature suggests that software test efficiency improvement depends on direct and indirect success factors like test process, test management, test tools, test object delimitation, test case determination, test infrastructure, configuration management, release management etc. This thesis was a case study approach for improving the test efficiency of an existing test setup in a database environment. Most of the thesis work followed an action based research approach by giving importance to the test setup. Work started with an analysis of the initial test environment, identified the issues and improvement areas in existing test setup and given an implementation proposal for the identified problems. Based on the proposal, team implemented the solutions, which lead to a test environment containing number of actions like automation using standard framework, risk based testing, parallel execution, modularization, avoiding code redundancy and proper test management. The results of the case study suggest that the software products that has multiple releases should seriously consider the test improvement factors like regression environment, risk based testing, light weight test automation etc., in the initial stages of the testing. This will lead to cost savings, quality, flexibility and higher productivity. The investigation further identifies the issues in test management and introduced new method called test point method for proper test execution tracking. Based on the implementation results and their discussions, this study presents a new approach and practical guidelines for improving test efficiency of a software test project. IBM has recognised this case study by giving eminence and excellence award for saving one person year of testing effort in their indexing tool test environment. -
Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP EffUnet Classification
Main problem in current research area focused on generating automatic AI technique to detect bio medical images by slimming the dataset. Reducing the original dataset with actual unwanted noises can accelerate new data which helps to detect diseases with high accuracy. Highest level of accuracy can be achieved only by ensuring accuracy at each level of processing steps. Dataset slimming or reduction is NP hard problems due its resembling variants. In this research work we ensure high accuracy in two phases. In phase one feature selection using Normalized Tensor Tubal PCA (NTT-PCA) method is used. This method is based on tensor with single value decomposition (SVD) for accurate dimensionality reduction problems. The dimensionality reduced output from phase one is further processed for accurate classification in phase two. The classification of affected images is detected using ASPP EffUnet. The atrous spatial pyramid pooling (ASPP) with efficient convolutional block in Unet is combined to provide ASPP EffUnet CNN architecture for accurate classification. This two phase model is designed and implemented on benchmark datasets of glaucoma detection. It is processed efficiently by exploiting fundus image in the dataset. We propose novel AI techniques for segmenting the eye discs using EffUnet and perform classification using ASPP-EffUnet techniques. Highest accuracy is achieved by NTT-PCA dimensionality reduction process and ASPP-EffUnet based classification which detects the boundaries of eye cup and optical discs very curiously. Our resulting algorithm NTT-PCA with ASPP-EffUnet for dimensionality reduction and classification process which is optimized for reducing computational complexity with existing detection algorithms like PCA-LA-SVM,PCA-ResNet ASPP Unet. We choose benchmark datasets ORIGA for our experimental analysis. The crucial areas in clinical setup are examined and implemented successfully. The prediction and classification accuracy of proposed technique is achieved nearly 100%. 2021, Springer Nature Switzerland AG. -
Effective Temperature Prediction for An Enhanced Climate Forecast System
Ever since the first industrial revolution, there has been a subtle temperature change. The transition to new manufacturing processes in conjunction with the surge in population has a negative consequence on the earths atmosphere. Climate change has been identified as the most crucial environmental issue of this century, and it has sparked heated discussions [1]. Temperature is the most common metric to evaluate the change in climate/global warming. It is anticipated that climate change will result in an adverse and enduring impact on the ecosystem. Weather forecasting today extensively depends on conventional methodologies and requires complex and complicated infrastructure [2]. Prime problems concern quality of acquired data, timeliness, availability, reliability, and usability constraints on forecast preparation. 2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.