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                <text>Recent trends in photocatalytic water splitting using titania based ternary photocatalysts-A review</text>
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                <text>Hydrogen evolution reaction; Photocatalytic water splitting; Renewable energy; S-Scheme photocatalyst; TiO&lt;sub&gt;2&lt;/sub&gt; based ternary photocatalysts; Z-Scheme</text>
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                <text>Hydrogen is considered as an ideal fuel, and its use has several advantages. While several methods are available for producing hydrogen, photocatalytic water splitting using semiconductor-based photocatalysts is one of the better methods. Among the various semiconductors, titania, having many desirable properties, is a widely explored photocatalyst material to fabricate ternary heterojunctions. Preventing the recombination of photoexcited charge carriers, reducing the band gap, and enhancing the migration of charges are steps needed to improve the efficiency of the photocatalysts. Various modifications have been made to the structural and chemical properties of the photocatalysts. While innovative synthetic protocols can bring about the desired changes, incorporating metal oxides and noble metals with varied morphologies into titania leads to multijunction photocatalysts. Structural modifications to titania include incorporation of various nanostructured materials, noble metal nanoparticles, transition metal chalcogenides, polymer materials, semiconductors like g-C3N4, quantum dots, etc.  2022 Hydrogen Energy Publications LLC</text>
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                <text>Kausar F.; Varghese A.; Pinheiro D.; Devi K R S.</text>
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                <text>International Journal of Hydrogen Energy, Vol-47, No. 53, pp. 22371-22402.</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.ijhydene.2022.05.058" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.ijhydene.2022.05.058&lt;/a&gt;
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                <text>ISSN: 3603199; CODEN: IJHED</text>
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                <text>Kausar F., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Devi K R S., Department of Chemistry, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India</text>
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                <text>Recent trends in the electrochemical sensors on ?- and calcium channel blockers for hypertension and angina pectoris: A comprehensive review</text>
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                <text>Calcium channel blockers; Coronary artery disease; Electrochemical sensors; Hypertension; Nanomaterials; ?-Blockers</text>
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                <text>Stress, ingrained human behaviors, an inactive lifestyle, and poor dietary decisions are the primary causes of hypertension and the related coronary artery disease (CAD), which is also commonly referred to as angina pectoris. Effective high blood pressure (BP) treatment represents a substantial approach to reducing the burden of hypertension-related cardiovascular and renal diseases. A group of drugs known as ?-blockers and calcium channel blockers (CCBs) are frequently used to treat diseases like hypertension (high blood pressure), cardiac arrhythmias and heart failure. For efficient therapeutic use and to reduce potential side effects, ?-blocker concentration monitoring is essential. Chromatographic techniques are employed in a wide range to detect ?-blockers and CCBs without interference, among other analytical methods that have been described. For the detection of ?-blockers and CCBs, electrochemical sensors provide numerous benefits including sensitivity, selectivity, rapidity, and cost-effectiveness. These sensors can help with patient monitoring in clinical settings, ensuring that the prescription ?-blocker dosage is within the therapeutic range. Since ?-blockers are frequently consumed by people, the contamination can be occurred through discharge of wastewater. The presence and measurement of ?-blockers in water samples enables researchers to evaluate potential risks to aquatic life and public health. In this regard, this review addresses recently developed electrochemical (voltammetric) methodologies and measurement protocols for the determination of both ?-blockers and CCBs in pharmaceuticals, biological fluids, and environmental samples. Additionally, this review also provides an overview of the various advanced nanomaterials such as carbon nanotubes, graphene oxide, metal and metal oxide nanoparticles, polymeric structures, zeolite materials, ionic liquids, perovskite semiconductor-based materials, MXenes, Quantum dots, Nano MIPs and various dimensional materials applied to fabricate chemically modified electrodes/electrochemical sensors to determine the ?-blockers and CCBs. Moreover supplied are tables listing the analyte, modified electrode, measurement method, measuring medium pH, linear detection range (LDR), limit of detection (LOD) and sensitivity as they are cited in the original research. Furthermore, important conclusions are made from the published reports in the last decade and some future perspectives are also suggested.  2023 Elsevier B.V.</text>
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                <text>Bathinapatla A.; Kanchi S.; Chokkareddy R.; Puthalapattu R.P.; Kumar M.R.</text>
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                <text>Microchemical Journal, Vol-192</text>
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                <text>ISSN: 0026265X; CODEN: MICJA</text>
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                <text>Bathinapatla A., Department of Chemistry, CMR Institute of Technology, Bengaluru, 560037, India, Centre of Excellence- Sensors &amp;amp; Nanoelectronics, CMR Institute of Technology, Bengaluru, 560037, India; Kanchi S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Chokkareddy R., Department of Chemistry, Durban University of Technology, Durban, 4001, South Africa, Department of Chemistry, Aditya College of Engineering, East-Godavari Dist, Andhra Pradesh, 533437, India; Puthalapattu R.P., Department of Chemistry, Institute of Aeronautical Engineering, Dundigal, Telangana, Hyderabad, 500043, India; Kumar M.R., Department of Chemistry, Raghu Engineering College (Autonomous), Dakamarri (v), Bheemunipatnam, Andhra Pradesh, Visakhapatnam, 531162, India</text>
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                <text>Recent Trends in the Synthesis and Mechanistic Implications of Phenanthridines</text>
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                <text>heteroaromatic; metal-free; metal-mediated; nitrogen-containing heterocycle; phenanthridine</text>
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                <text>Phenanthridine derivatives are one of the most intensively studied families of biologically active compounds. There has been considerable scientific interest in the turn of this century in the synthesis of these N-containing heterocycles as they are prevalent in many alkaloids and also possess striking biological activities including antibacterial, antifungal, antitumor activities. In this regard, a number of synthetic approaches toward the construction of phenanthridine moieties with various substituents, and to increase their yield have been developed by the synthetic organic community. Even though many researchers have developed various innovative methods for the synthesis of phenanthridine derivatives for the past few years, still there is substantial scope for the discovery of novel synthetic methods. In this review, the latest developments in the diverse synthetic strategies of phenanthridine derivatives in the presence and absence of metals were described. The present review also enlightens the use of different reagents, the diversity of the substrates identified, and the plausible mechanisms unravelled towards the construction of these biologically relevant scaffolds. (Figure presented.).  2021 Wiley-VCH GmbH</text>
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                <text>Talukdar V.; Vijayan A.; Kumar Katari N.; Radhakrishnan K.V.; Das P.</text>
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                <text>Advanced Synthesis and Catalysis, Vol-363, No. 5, pp. 1202-1245.</text>
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                <text>Wiley-VCH Verlag</text>
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                <text>&lt;a href="https://doi.org/10.1002/adsc.202001236" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/adsc.202001236&lt;/a&gt;
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                <text>Talukdar V., Department of Chemistry, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India; Vijayan A., Department of Chemistry, CHRIST (Deemed to be University), Hosur road, Bengaluru, 560029, India; Kumar Katari N., Department of Chemistry, GITAM University, Hyderabad, 502329, India; Radhakrishnan K.V., CSIR  National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, 695019, India; Das P., Department of Chemistry, Indian Institute of Technology (Indian School of Mines), Dhanbad, 826004, India</text>
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                <text>Receptivity to Change, Work Motivation, and Teacher Engagement among Secondary School Teachers  </text>
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                <text>The present study investigated the teachers receptivity to change in relation to work motivation and teacher engagement among secondary school teachers in Kerala, India. The study primarily focussed on the newlinedevelopment and validation of the Teachers Receptivity to Change Scale. The way the teachers receive the change is a vital determinant that defines the successful execution of the change. The present study used a mixed-methods sequential explanatory design, which proceeded through three phases. The tool construction, which progressed through five stages namely, item analysis, exploratory factor analysis, confirmatory factor analysis, validity assessment, and test-retest reliability, constituted the newlinefirst phase. 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 newlinefactors. The structural equation modelling corroborated that the scale excellently fits in the four-factor correlated model and indexed receptivity to change as the sum of the four factors. The final 28-item Teachers newlineReceptivity to Change Scale showed adequate internal consistency (Cronbach s and#945; = .90) and discriminant validity. The validity assessment indicated a moderate correlation between receptivity to change, work motivation, and teacher engagement. The test re-test reliability analysis (Cronbach s and#945; = .88) confirmed the temporal stability of the scale. In the second phase, a sample of 433 secondary school teachers of Kerala, newlineresponded to the standardised questionnaires namely Teachers Receptivity to Change Scale, Multidimensional Work Motivation Scale, newlineand Engaged Teachers Scale. The study also assessed the influence of demographic characteristics such as gender, type of institution, age, subject taught, and years of experience using the Mann-Whitney U-test, newlineand Kruskal-Wallis test.</text>
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                <text>Trixy, Elizabeth John</text>
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                <text>Thomas, Benny and Sudhesh, N T</text>
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                <text>Recognition and Understanding of Emotions in Persons with Mild to Moderate Mental Retardation</text>
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                <text>Contextual cues; Dynamic content; Emotion understanding; Mental retardation</text>
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                <text>Deficits in intellectual ability have been linked to deficits in emotion understanding and consequently social competence. Research suggests that individuals with mental retardation exhibit deficits in their ability to identify emotional states in themselves and others, relative to normal mental age matched controls and peers and display an inability to decode facial expressions of emotion. Emotional experience is elicited in part by a cognitive appraisal of a situation toward a goal. However, the ecological validity of previous studies is limited. In this study we developed new materials to investigate the emotion understanding skills of persons with mild to moderate mental retardation. Six tasks included faces displaying emotion in context, comic strips, audio, video and audio-visual material of individuals expressing emotions in context. Results indicated that the mentally retarded were able to identify emotions in context than expressions without context and emotion understanding improved with increasing contextual cues and dynamic content.  2014, Springer India Pvt. Ltd.</text>
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                <text>Journal of Psychosocial Rehabilitation and Mental Health, Vol-2, No. 1, pp. 59-66.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056723040&amp;amp;doi=10.1007%2Fs40737-014-0019-9&amp;amp;partnerID=40&amp;amp;md5=c10c8edd0aae6decb59c66b7b50d5caf" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056723040&amp;amp;doi=10.1007%2fs40737-014-0019-9&amp;amp;partnerID=40&amp;amp;md5=c10c8edd0aae6decb59c66b7b50d5caf&lt;/a&gt;</text>
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                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 21989834</text>
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                <text>Joseph L., Christ College, Bangalore University, Bangalore, India; Ittyerah M., Institute of Communicative and Cognitive Neurosciences, Shoranur, Palakkad, India</text>
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                <text>Recognition of Green Colour Vegetables' Images Using an Artificial Neural Network</text>
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              <elementText elementTextId="186446">
                <text>ANN classifier; feature vector; horticultural produce; vegetable recognition</text>
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            <name>Description</name>
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              <elementText elementTextId="186447">
                <text>Image processing is used in all the domains including agriculture. In this paper, we have introduced a computationally simple and small feature vector, as a tool for the recognition of green colour vegetable images. The RGB colour system is used and the feature set is computationally economic and performs well on locally available vegetable images. For recognition of vegetable images, an ANN-based classifier is deployed. The recognition percentage is in the scale of 74-100 for 15 vegetable types. This work finds application in the packing of vegetables, food processing, automatic vending.  2019 IEEE.</text>
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              <elementText elementTextId="186448">
                <text>Madgi M.; Danti A.; Anami B.</text>
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                <text>2019 International Conference on Data Science and Communication, IconDSC 2019</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072774681&amp;amp;doi=10.1109%2FIconDSC.2019.8816943&amp;amp;partnerID=40&amp;amp;md5=02fb596bb288252b501a7fd22cc49ed3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072774681&amp;amp;doi=10.1109%2fIconDSC.2019.8816943&amp;amp;partnerID=40&amp;amp;md5=02fb596bb288252b501a7fd22cc49ed3&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="186453">
                <text>Restricted Access</text>
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                <text>ISBN: 978-153869319-3</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Madgi M., Dept. of Computer Science and Engg., K. L. E. Institute of Technology, Hubballi, India; Danti A., Dept. of Computer Science and Engg., Christ, Deemed to be University, Bengaluru, India; Anami B., K. L. E. Institute of Technology, Hubballi, India</text>
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          <element elementId="50">
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                <text>Recognition of Signature Using Neural Network and Euclidean Distance for Bank Cheque Automation</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="187614">
                <text>Euclidean distance measure; Neural network; Signature recognition; Zonal features</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="187615">
                <text>Handwritten signature recognition plays significant role in automatic document verification system in particularly bank cheque authorization. The proposed method focuses on A novel technique for offline signature recognition approach for bank cheque based on zonal features and regional features. These combined features are used to find genuinety of signature using Euclidean distance as a metric. Extensive experiments are carried out to exhibit the success of the recommended approach.  2019, Springer Nature Singapore Pte Ltd.</text>
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                <text>Raghavendra S.P.; Danti A.</text>
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              <elementText elementTextId="187617">
                <text>Communications in Computer and Information Science, Vol-1037, pp. 228-243.</text>
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                <text>Springer Verlag</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070198600&amp;amp;doi=10.1007%2F978-981-13-9187-3_21&amp;amp;partnerID=40&amp;amp;md5=8a8d177dbc8464892090e2c61b978fbc" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070198600&amp;amp;doi=10.1007%2f978-981-13-9187-3_21&amp;amp;partnerID=40&amp;amp;md5=8a8d177dbc8464892090e2c61b978fbc&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="187621">
                <text>Restricted Access</text>
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              <elementText elementTextId="187622">
                <text>ISSN: 18650929; ISBN: 978-981139186-6</text>
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                <text>Online</text>
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                <text>Raghavendra S.P., NES Research Foundation, Department of MCA, JNNCE, Shimoga, Karnataka, India; Danti A., Department of Computer Science and Engineering, Christ (Deemed to be university), Bangalore, Karnataka, India</text>
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                <text>Nowadays, diet and exercise recommender frameworks have gaining expanding consideration because of their importance for living healthy lifestyle. Due of the expanded utilization of the web, people obtain the applicable wellbeing data with respect to their medicinal problem and available medications. Since diseases have a strong relationship with food and exercise, it is especially essential for the patients to focus on adopting good food habits and normal exercise routine. Most existing systems on the diet concentrate on proposals that recommend legitimate food items by considering their food choices or medical issues. These frameworks provide functionalities to monitor nutritional requirement and additionally suggest the clients to change their eating conduct in an interactive way. We present a review of diet and physical activity recommendation frameworks for people suffering from specific diseases in this paper. We demonstrate the advancement made towards recommendation frameworks helping clients to find customized, complex medical facilities or make them available some preventive services measures. We recognize few challenges for diet and exercise recommendation frameworks which are required to be addressed in sensitive areas like health care.  2019, Springer Nature Singapore Pte Ltd.</text>
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                <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-16, pp. 333-346.</text>
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                <text>Vairale V.S., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Shukla S., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, Karnataka, India</text>
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                <text>Recommendation of diet using hybrid collaborative filtering learning methods</text>
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                <text>Collaborative filtering; K-nearest neighbor; Matrix factorization; Recommender system; Thyroid disorder</text>
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                <text>These days, various recommender systems exist for online advertisement services which recommend the products considering users interests. Similarly, health recommendation systems are becoming most important component in individuals life. Due to the modernization and busy schedule, people give less concern to their eating patterns. This leads to various health issues like obesity, thyroid disorder, diabetes and others. Every individual has different health issues and food habits. Therefore, diet recommendations should be suggested by considering their personal health profile and food preferences. So, it becomes essential to analyze individuals health concerns before recommending the diet with required nutrient values. Thus, it helps people to minimize the further risks associated with the current health conditions. The proposed diet and exercise recommender framework suggests a balanced diet for thyroid patients. It takes care of the food intake with necessary nutrients requirement based on thyroid disorders. This paper applies K-nearest neighbor collaborative filtering models using various similarity measures. The paper assessed two-hybrid learning methods, KNN with alternating least squares: KNN-ALS and KNN with stochastic gradient decent: KNN-SGD. The experimental setup analyzed and evaluated the performances of all algorithms using mean absolute error (MAE) and root mean squared error (RMSE) values.  Springer Nature Singapore Pte Ltd 2020.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-119, pp. 309-318.</text>
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                <text>Vairale V.S., CHRIST (Deemed to be University), Kengeri Campus, Bangalore, Karnataka, India; Shukla S., CHRIST (Deemed to be University), Lavasa, Pune, India</text>
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                <text>Recommendation of food items for thyroid patients using content-based knn method</text>
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                <text>Content-based; Food preference matrix; Inverse document frequency; K-Nearest neighbor; Term frequency</text>
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                <text>Food recommendation system has become a recent topic of research due to increase use of web services. A balanced food intake is significant to maintain individuals physical health. Due to unhealthy eating patterns, it results in various diseases like diabetes, thyroid disorder, and even cancer. The choice of food items with proper nutritional values depends on individuals health conditions and food preferences. Therefore, personalized food recommendations are provided based on personal requirements. People can easily access a huge amount of food details from online sources like healthcare forums, dietitian blogs, and social media websites. Personal food preferences, health conditions, and reviews or ratings of food items are required to recommend diet for thyroid patients. We propose a unified food recommendation framework to identify food items by incorporating various content-based features. The framework uses the domain knowledge to build the private model to analyze unique food characteristics. The proposed recommender model generates diet recommendation list for thyroid patients using food items rating patterns and similarity scores. The experimental setup validated the proposed food recommender system with various evaluation criteria, and the proposed framework provides better results than conventional food recommender systems.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-132, pp. 71-77.</text>
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                <text>In this paper, we have used a technique called clustering to recommend the products to the customer and also tried to compare clustering and Topic modelling to find out which technique is better for our purpose. From all the papers that have been reviewed, we observed that the greater part of the proposal approaches applied content-based filtering (55%). Collaborative-based filtering was applied by just 18% of the looked into approaches, and hybrid based by 16%. Other suggestion ideas included generalizing, thing driven proposals, and crossover suggestions. The content-based filtering approaches overwhelmingly utilized papers that the clients had made, marked, examined, or downloaded [1]. To begin with, it stays muddled which suggestion ideas and approaches are the most encouraging. For instance, analysts demonstrated different results on the presentation of content based and collaborative filtering. A portion of the time content-based filtering performed better contrasted with collaborative filtering sand a portion of the time it performed all the more regrettable.  2022 IEEE.</text>
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                <text>Sharma E.; Jos J.</text>
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                <text>2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 2006-2011.</text>
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                <text>Sharma E., Christ University, Data Science Department, Pune, India; Jos J., Christ University, Data Science Department, Pune, India</text>
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                <text>Students develop skills, gain knowledge, and achieve greater wellbeing by creating a positive school environment. Through the years, schools have realized the importance of mental health services for adolescents. Research on the role of schools in mental health awareness building and preventing mental health problems is meager, and focuses on students in the western context. This chapter focuses on the recommendations given by teachers on what role schools can play in identifying, preventing, and building awareness among adolescents. These recommendations are based on the themes obtained through semi-structured interviews with 24 teachers teaching 10th, 11th, and 12th graders in private high schools and colleges in Bangalore. Consequently, it aims to provide an overview of incorporating techniques and strategies to enhance mental health among school students in the Indian Scenario.  2024, IGI Global. All rights reserved.</text>
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                <text>Abhirami M.; Gupta S.</text>
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                <text>Abhirami M., Christ University, India; Gupta S., Christ University, India</text>
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          <element elementId="50">
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                <text>Recommender system for personalised travel itinerary</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="129323">
                <text>Recommender system; Tourism; Tourpedia; Travel</text>
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              <elementText elementTextId="129324">
                <text>A recommender system is an approach to give an appropriate solution to a particular problem. This helps in recognising the pattern or behaviour of a user to suggest future possible likes of the user. Nowadays people like to travel during their spare time, it has become a rigid task to decide where to go. This paper represents a customised recommender system to help users in destining their itinerary. A model is designed to suggest the best places to visit in Rome. A questionnaire was prepared to get information about user's interest during their travel. The model generates the best five places to visit with respect to the choice picked by the user. The top five places for each category will be displayed to the user and the user was asked to pick a starting point for the itinerary. Then the model generates another set off a filtered list of places to enhance their travel experience. It includes displaying the top 5 restaurants to visit during their travel. Copyright  2019 Institute of Advanced Engineering and Science. All rights reserved.</text>
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              <elementText elementTextId="129325">
                <text>Choudhary B.T.; Tulasi B.</text>
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              <elementText elementTextId="129326">
                <text>International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 4460-4465.</text>
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              <elementText elementTextId="129327">
                <text>Institute of Advanced Engineering and Science</text>
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                <text>&lt;a href="https://doi.org/10.11591/ijece.v9i5.pp4460-4465" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijece.v9i5.pp4460-4465&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067593378&amp;amp;doi=10.11591%2Fijece.v9i5.pp4460-4465&amp;amp;partnerID=40&amp;amp;md5=f087a89032f8f513a46869914f4f61a9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067593378&amp;amp;doi=10.11591%2fijece.v9i5.pp4460-4465&amp;amp;partnerID=40&amp;amp;md5=f087a89032f8f513a46869914f4f61a9&lt;/a&gt;</text>
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              <elementText elementTextId="129330">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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            </elementTextContainer>
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                <text>ISSN: 20888708</text>
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              <elementText elementTextId="129333">
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                <text>Choudhary B.T., Department of Computer Science, CHRIST (Deemed to Be University), No -17, Meera Bhavan, 2nd cross, Munnikrishnappa Layout, Adugodi, Bengaluru, 560030, India; Tulasi B., Department of Computer Science, CHRIST (Deemed to Be University), No -17, Meera Bhavan, 2nd cross, Munnikrishnappa Layout, Adugodi, Bengaluru, 560030, India</text>
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                <text>Recommender system for surplus stock clearance</text>
              </elementText>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="129866">
                <text>Inventory clearance; Recommender systems; Retail stock management; Stock accumulation; Stock clearance; Surplus stock</text>
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                <text>Accumulation of the stock had been a major concern for retail shop owners. Surplus stock could be minimized if the system could continuously monitor the accumulated stock and recommend those which require clearance. Recommender Systems computes the data, shadowing the manual work and give efficient recommendations to overcome stock accumulation, creating space for new stock for sale to enhance the profit in business. An intelligent recommender system was built that could work with the data and help the shop owners to overcome the issue of surplus stock in a remarkable way. An item-item collaborative filtering technique with Pearson similarity metric was used to draw the similarity between the items and accordingly give recommendations. The results obtained on the dataset highlighted the top-N items using the Pearson similarity and the Cosine similarity. The items having the highest rank had the highest accumulation and required attention to be cleared. The comparison is drawn for the precision and recall obtained by the similarity metrics used. The evaluation of the existing work was done using precision and recall, where the precision obtained was remarkable, while the recall has the scope of increment but in turn, it would reduce the value of precision. Thus, there lies a scope of reducing the stock accumulation with the help of a recommender system and overcome losses to maximize profit. Copyright  2019 Institute of Advanced Engineering and Science. All rights reserved.</text>
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              <elementText elementTextId="129868">
                <text>Agarwal V.; Vijayalakshmi A.</text>
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                <text>International Journal of Electrical and Computer Engineering, Vol-9, No. 5, pp. 3813-3821.</text>
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              <elementText elementTextId="129870">
                <text>Institute of Advanced Engineering and Science</text>
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              <elementText elementTextId="129871">
                <text>2019-01-01</text>
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                <text>&lt;a href="https://doi.org/10.11591/ijece.v9i5.pp3813-3821" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijece.v9i5.pp3813-3821&lt;/a&gt;
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              <elementText elementTextId="129873">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 20888708</text>
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                <text>Agarwal V., Department of Computer Science, CHRIST (Deemed to be University), India; Vijayalakshmi A., Department of Computer Science, CHRIST (Deemed to be University), India</text>
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                <text>Recommender Systems (RS) have risen in popularity over the years, and their ability to ease decision-making for the user in various domains has made them ubiquitous. However, the sparsity of data continues to be one of the biggest shortcomings of the suggestions offered. Recommendation algorithms typically model user preferences in the form of a profile, which is then used to match user preferences to items of their interest. Consequently, the quality of recommendations is directly related to the level of detail contained in these profiles. 

Through the review of related literature, it is evident that the genre of a movie is a major factor influencing user decisions about movies. However, the degree of membership of a movie to a genre is typically unavailable. Sometimes, certain genres memberships to a movie might not be assigned at all. Such genre membership information, if available, would provide a better description of items and consequently lead to quality recommendations. To capture complete information on content pertaining to different genre in movies, we have used two approaches ?? one that utilizes the available binary genre information and augments it by inferring the genre degree using the information available in folksonomies and another that does not rely on previous movie categorization but captures genres that manifest automatically when forming keyword clusters.

Folksonomies or tags are user-defined metadata for items and embed abundant information about various facets of user likes and their opinions on the quality and the type of object tagged. The degree of genre presence in a movie is inferred by examining the various tags conferred on them by various users. Leveraging on tags to guide the genre degree determination exploits crowd sourcing to enrich item content description. Fuzzy logic naturally models human logic, allowing for the nuanced representation of features of objects and thus is utilized to derive such gradual representation as well as for modelling user profiles. Fuzzy user and object representations are leveraged for the design of both content-based as well as collaborative recommender systems. Experimental evaluations establish the effectiveness of the proposed approaches as compared to other baselines. We call this the Fuzzy User-Based Recommendation Approach (FUBRA).

Keywords related to a movie indirectly contain information related to the various narrative styles. User profiles are also constructed based on user preferences for such keyword clusters. We call this the Keyword Clustering-Based Recommendation Approach (KCBRA).These profiles are then utilized to perform both Content-Based (CB) filtering as well as Collaborative Filtering (CF). This approach scores over the direct keyword-matching, genre-based user profiling method and the traditional CF methods under sparse data scenarios as established by various experiments.

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                <text>The paper revisits academics' conceptualizations of women empowerment as stopping short of autonomy. It departs from the general observation that women empowerment movements by and large have failed to translate the new agency of women outside the domains of socio economy; that women empowerment movements' capacity to re-engage with patriarchal structures and ideologies is seriously contained. Through an ethnography of Kudumbashree, an SHG in the South Indian state of Keralam, we question the neat distinctions between empowerment and autonomy that prevail in the academic common sense. The transition of agency from the economic to the political domain is a subtle enterprise and is mediated by a number of factors including the economic independence, decision making capability and political participation. Socio -economic - political implications of women empowerment could be the first step in challenging and overcoming the relations of oppression in any society. The stereotypical assumptions can be negotiated by solely apportioning responsibilities and re-engaging with the system through everyday practices. The nuances of empowered women's re-engagement with local gender/power regimes lead to changes at the conceptual level that cuts beyond the individual and group level material transformations.  The Electrochemical Society</text>
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                <text>Babu G.M.; Kumaramkandath R.</text>
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                <text>ECS Transactions, Vol-107, No. 1, pp. 19469-19480.</text>
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                <text>&lt;a href="https://doi.org/10.1149/10701.19469ecst" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1149/10701.19469ecst&lt;/a&gt;
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                <text>ISSN: 19386737; ISBN: 978-160768539-5</text>
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                <text>Babu G.M., Department of Sociology and Social Work, CHRIST (Deemed to be University), Bangalore, 560029, India; Kumaramkandath R., Department of Sociology and Social Work, CHRIST (Deemed to be University), Bangalore, 560029, India</text>
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                <text>Reconfigurable non-uniform band-generating filter bank for channelizer</text>
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                <text>cosine modulation (CM); FIR filters; frequency response masking (FRM)</text>
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                <text>Multi-band channelizer system must choose a specific channel from a broad bandwidth signal. A variety of distinct wireless standards and frequency bands are used in the channelizer. Reconfigurable and non-uniform multi-channels with narrow transition widths are necessary for channelizers. In this paper, a low complexity reconfigurable non-uniform band-generating filter bank (RNBFB) is proposed for multi-band channelizer. The RNBFB is used to generate a variety of non-uniform channels with a narrow transition width. Utilising frequency response masking (FRM) and the cosine modulation (CM) approach, many non-uniform channels are created. Comparing RNBFB to other state-of-the-art techniques, RNBFB generates multi-bands for channelizer with less multiplier complexities. For a better understanding of hardware complexity, the proposed RNBFB is implemented efficiently. A multiplier-free design such as Canonical Signed Digit (CSD), Multi-Objective Artificial Bee Colony (MOABC), and Shift Inclusive Differential Coefficients (SIDC) with a Common Sub-expression Elimination (CSE) are included in the suggested strategy to further optimise the RNBFB.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Varghese R.C.; Inbanila K.</text>
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                <text>International Journal of Electronics Letters, Vol-12, No. 3, pp. 211-221.</text>
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                <text>Taylor and Francis Ltd.</text>
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                <text>&lt;a href="https://doi.org/10.1080/21681724.2023.2261080" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/21681724.2023.2261080&lt;/a&gt;
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                <text>Varghese R.C., CHRIST (Deemed to be University), Bangalore, India; Inbanila K., CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Reconstruction of sparse-view tomography via preconditioned Radon sensing matrix</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="130982">
                <text>Compressive sensing; Computed tomography; Preconditioning; Radon transform; Sparse approximation; TVAL3</text>
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                <text>Computed Tomography (CT) is one of the significant research areas in the field of medical image analysis. As X-rays used in CT image reconstruction are harmful to the human body, it is necessary to reduce the X-ray dosage while also maintaining good quality of CT images. Since medical images have a natural sparsity, one can directly employ compressive sensing (CS) techniques to reconstruct the CT images. In CS, sensing matrices having low coherence (a measure providing correlation among columns) provide better image reconstruction. However, the sensing matrix constructed through the incomplete angular set of Radon projections typically possesses large coherence. In this paper, we attempt to reduce the coherence of the sensing matrix via a square and invertible preconditioner possessing a small condition number, which is obtained through a convex optimization technique. The stated properties of our preconditioner imply that it can be used effectively even in noisy cases. We demonstrate empirically that the preconditioned sensing matrix yields better signal recovery than the original sensing matrix.  2018, Korean Society for Computational and Applied Mathematics.</text>
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                <text>Theeda P.; Kumar P.U.P.; Sastry C.S.; Jampana P.V.</text>
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              <elementText elementTextId="130985">
                <text>Journal of Applied Mathematics and Computing, Vol-59, No. 45689, pp. 285-303.</text>
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                <text>Springer Verlag</text>
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                <text>Theeda P., Department of Mathematics, Indian Institute of Technology Hyderabad, Sangareddy, India; Kumar P.U.P., Department of Mathematics, Indian Institute of Technology Hyderabad, Sangareddy, India, Department of Computer Science, CHRIST University, Bengaluru, India; Sastry C.S., Department of Mathematics, Indian Institute of Technology Hyderabad, Sangareddy, India; Jampana P.V., Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Sangareddy, India</text>
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                <text>Recruitment Analytics: Hiring in the Era of Artificial Intelligence</text>
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                <text>Artificial intelligence; Chatbots; Gamification; Recruitment; Resume screening; Virtual interviews</text>
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                <text>Introduction: Traditional recruitment system relied heavily on the applicants curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be misfits. CVs were the only source of candidates data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process. Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages. Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes. Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles. Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidates perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees queries. Resume screening techniques can save the recruiters time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.  2023 by V. R. Uma, Ilango Velchamy and Deepika Upadhyay.</text>
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                <text>Uma V.R.; Velchamy I.; Upadhyay D.</text>
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                <text>The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part A, pp. 155-174.</text>
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                <text>Emerald Publishing</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1108/978-1-80382-027-920231008" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/978-1-80382-027-920231008&lt;/a&gt;
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                <text>ISBN: 978-180382028-6; 978-180382027-9</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Uma V.R., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, India; Velchamy I., Department of Computer Application, CMR Institute of Technology, Bangalore, India; Upadhyay D., Department of Commerce, School of Commerce, Finance and Accountancy, Christ University, Bangalore, India</text>
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                <text>Rectangular microstrip antenna for WLAN application</text>
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                <text>HFSS; microsrip patch antenna</text>
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                <text>This paper deals with the design of rectangular microstrip patch antenna for Wireless applications. In this paper a modified slotted microstrip antenna design for 2.5GHz operation is proposed. This provides improved performance in terms of lower return loss and higher gain. This is possible by inclusion of slots appropriately on the patch shape. The substrate material used in this design is Duroid5880 with permittivity 2.2 and size 47.43mm 39.65mm 1.6mm. ANSOFT HFSS EM simulator has been used for design and simulation of the microstrip antenna. The various antenna parameters such as frequency, VSWR, gain and directivity are analyzed to characterize the proposed antenna.  2015 IEEE.</text>
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                <text>Jose S.K.; Suganthi S.</text>
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                <text>ICIIECS 2015 - 2015 IEEE International Conference on Innovations in Information, Embedded and Communication Systems</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>&lt;a href="https://doi.org/10.1109/ICIIECS.2015.7192986" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICIIECS.2015.7192986&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957027954&amp;amp;doi=10.1109%2FICIIECS.2015.7192986&amp;amp;partnerID=40&amp;amp;md5=26135089089449603d9df333735922a8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957027954&amp;amp;doi=10.1109%2fICIIECS.2015.7192986&amp;amp;partnerID=40&amp;amp;md5=26135089089449603d9df333735922a8&lt;/a&gt;</text>
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                <text>ISBN: 978-147996818-3</text>
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                <text>Jose S.K., Communication Systems, ECE Department, Christ University, Bengaluru, India; Suganthi S., ECE Department, Christ University, Bengaluru, India</text>
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