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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. -
Effective Techniques Non-linear Dynamic Model Calibration using CNN
This paper proposes an efficient method to estimate nonlinear dynamic models using convolutional neural networks (CNNs). The proposed method combines the power of statistical optimization and machine learning to obtain more accurate and efficient estimates of complex models by training CNNs to recognize maps featuring input models and between results, thereby reducing the computational cost of measurements and then using the trained CNN to generate surrogate models -The method can determine accuracy for a range of exposed cases in various nonlinear dynamic models, including differential equation model of chemical reactor and stochastic model of biological systems The results show that the proposed methods are effective for measuring these models, if at most with such accuracy and reducing the computational cost in terms of both frequency and magnitude, the proposed method represents a promising method for estimating nonlinear dynamic models, offering significant advantages in terms of accuracy, efficiency and in scalability 2024 IEEE. -
Effective storage of goods in a warehouse using farm optimisation algorithm
Effective organisation of a warehouse's incoming goods section is important for its productivity as ensuring efficient shelving systems. When the incoming goods section is not properly configured, this almost automatically causes major interruptions throughout the subsequent storage phase. For effective storage of goods in warehouse farm optimisation algorithm (FOA) is proposed. The efficacy of the proposed approach was demonstrated using BR datasets and it is compared with different optimisation algorithms. From this experiment, it is noted that the suggested FOA fulfils the objective of efficient arrangement of goods in the warehouse. The order in which the goods are placed into the warehouse is also noted to be ideal than other competitive optimisation algorithms. 2020 Inderscience Enterprises Ltd.. All rights reserved. -
Effective proactive routing protocol using smart nodes system
Small Power Restricted Unit (PRU) platform known as the Wireless Sensor Network (WSN) to monitor a Large Region of Interest (ROI) and send data to the Base Station (BS). Accurately capturing the ROI and communicating observed information to the BS over the longest period is indeed the main problem facing WSN. Despite the latest introduction of many power routing algorithms in regular monitoring applications, the variable environment and complex environment for WSN applications end up creating these procedures as an important task. This study Degree Restricted Tree (DRE) nodes for such networks, including a BS outside of the ROI in a homogeneous pre-emptive WSN. The optimal degree of a node with low DRT energy consumption is determined because the degree of a node affects the network lifespan of these forms of connections. To provide an equitable distribution of the burden in terms of transmission power, this study then suggests a Joint Decentralized Antenna (JDA) algorithm which is based on several antenna theories. With an optimum node density and DRT base, JDA is made for frequent surveillance systems with real-time applications. The results validate our research, which emphasizes that the network throughput of DRT is doubled when utilizing optimum node angles as opposed to certain other node degrees. Additionally, it has been demonstrated that introducing JDA into DRT with ideal network density increases the network's latency thus eliminating the proportion between the unstable period and the lifetime of the network in halves. Additionally, it displays a 25% improvement in network lifespan and the lowest rate of node loss when compared to the existing system ensuring that halves of nodes are still alive just a few rounds even before the lifetime of the network expires. 2022 The Authors -
Effective Police Investigation Under BNSS 2023: Existing Legal Framework and Challenges
Effective police investigation plays a crucial role in ensuring justice, maintaining law and order, and successfully prosecuting criminals. It involves gathering evidence, examining witnesses, and thoroughly scrutinizing the crime scenes. The investigating officials are tasked with various vital duties integral to the investigation procedures. Due to workload, police personnel may use unfair means and methods for ending investigations, securing convictions, and avoiding criticisms. The crime investigation technique requires specialized skills and training, sufficient time, appropriate forensic abilities, and facilities. This chapter examines the efficacy of police investigations and the subsequent attainment of convictions, focusing on a comparative insight into the current legal framework and the challenges under the Bharatiya Nagarik Suraksha Sanhita (BNSS) 2023. This doctrinal and non-doctrinal study applied qualitative and quantitative content analysis to evaluate the secondary data. Criminal cases experience inadequate investigation and adequate evidence. A fair investigation is essential for ensuring justice for the accused, victim, and society. If the police do not follow procedures, omitting and tampering with evidence will be detrimental by preventing the court from reviewing it. The effectiveness of police investigation significantly affects judicial verdicts. Defects in the system lead to frequent acquittals in criminal cases. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Effective on-site waste minimisation approaches in Indian construction projects
Indias rapidly expanding construction sector generates substantial material waste, creating environmental and economic challenges that are often intensified by weak on-site waste management (WM) practices. This study investigates effective approaches for minimising material waste in building construction projects using a mixed-methods research design. The research integrates a systematic literature review, expert interviews, and a large-scale questionnaire survey to identify and prioritise waste minimisation strategies. From an initial set of 38 practices, 15 key strategies were shortlisted through descriptive and inferential statistical analysis. Their practical effectiveness was then evaluated through longitudinal monitoring of material waste across seven construction stages at four active residential sites. The results indicate a consistent reduction in material wastage following the implementation of targeted interventions. By triangulating expert insights, industry perceptions, and empirical site-based evidence, this study moves beyond perception-based assessments and provides empirical validation of waste minimisation strategies under real construction conditions in a developing-country context. The findings demonstrate that sustained waste reduction depends on an integrated approach combining human behaviour, managerial control, and proactive planning from early project stages. The study offers practical guidance for improving material efficiency, reducing costs, and advancing sustainable construction practices in India. The Author(s), under exclusive licence to Springer Nature Japan KK, part of Springer Nature 2026. -
Effective Oil and Dye Adsorption Using Green Synthesized Copper Oxide Nanoparticles Obtained from Combretum indicum Leaf Extract
This study describes a green and sustainable method of producing copper oxide nanoparticles (CuO NPs) using Combretum indicum leaf extracts in aqueous and alcoholic solvents. The synthesis parametersextract concentration and pHwere optimized to achieve high yield (85%), small crystallite size (2035nm), and monodisperse particles. FTIR, PXRD, SEM, TEM, and UVvisible spectroscopy indicated the synthesis of monoclinic CuO NPs with mixed morphologies (spheres, rods, and plates), as well as phytochemical surface functionalization. The NPs exhibited multifunctional performance: alcoholic extract-derived CuO NPs showed exceptional dye adsorption (?95% removal of Methyl Orange in 180min), while aqueous extract-derived NPs demonstrated high oil adsorption (90%). Antimicrobial activity was strain specific, with significant efficacy against Streptococcus mutans (3.7mm zone of inhibition). The solvent-dependent surface chemistryhydrophilic for dye removal and hydrophobic for oil adsorptionhighlights the potential for tailored environmental remediation. This eco-friendly approach offers a promising route for synthesizing versatile CuO NPs with applications in wastewater treatment and antimicrobial strategies. 2025 Wiley-VCH GmbH.