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                <text>Diagnose Diabetic Mellitus Illness Based on IoT Smart Architecture</text>
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                <text>Obtaining a quick remote diagnosis of heart disease has proven problematic in recent days. To overcome such issues in e-Healthcare systems, Internet of Things (IoT) applications have been deployed using cloud computing (CC) approaches. There are still a number of disadvantages to using CC, including latency, bandwidth, energy usage, and security and privacy concerns. Fog computing (FC), a CC development, may be able to overcome these obstacles. DiaFog enabling remote users for real-time diagnosis of diabetic mellitus disease (DMD) has been proposed in this study, which is based on the combined ideas of IoT, cloud, and fog computing, as well as an ensemble deep learning (EDL) technique. The proposed system is trained with EDL approaches on the integrated dataset of two diabetes mellitus disease datasets (DMDDs), namely, Pima Indians Diabetes Dataset (PIDD) and Hospital Frankfurt Germany Diabetes Dataset (HFGDD), obtained from the UCI-ML and Kaggle repository, respectively, and the integrated dataset of these two. The suggested system has been used to demonstrate accuracy, precision, recall, F-measure, latency, arbitration time, jitter, processing time, throughput, energy consumption, bandwidth utilization, network utilization, scalability, and more. In the remote instantaneous diagnosis of diabetic patients, the integration of IoT-fog-cloud is useful. The results of the trials show the value of employing FC principles and their applicability for speedy diabetic patient remote diagnosis. PACS-key is describing text of that key PACS-key describing text of that key.   2022 Abhilash Pati et al.</text>
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                <text>Wireless Communications and Mobile Computing, Vol-2022</text>
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                <text>Pati A., Siksha 'o' Anusandhan University, Odisha, Bhubaneswar, India; Parhi M., Siksha 'o' Anusandhan University, Odisha, Bhubaneswar, India; Pattanayak B.K., Siksha 'o' Anusandhan University, Odisha, Bhubaneswar, India; Singh D., Siksha 'o' Anusandhan University, Odisha, Bhubaneswar, India; Samanta D., Department of Computer Science, CHRIST University, Bangalore, India; Banerjee A., Physics Department, Bidhan Chandra College, Asansol, 713 303, India, Organic Electronics Research Center, Ming Chi University of Technology, New Taipei City, 24301, Taiwan; Biring S., Organic Electronics Research Center, Ming Chi University of Technology, New Taipei City, 24301, Taiwan, Department of Electronic Engineering, Ming Chi University of Technology, New Taipei City, 24301, Taiwan; Dalapati G.K., Organic Electronics Research Center, Ming Chi University of Technology, New Taipei City, 24301, Taiwan, Sunkonnect, 1 Cleantech Loop, Singapore, 637141, Singapore</text>
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                <text>We herein employ an alternative approach to model the financial bubbles prior to crashes and fit a log-periodic power law (LPPL) to IIGPS countries (Italy, Ireland, Greece, Portugal, and Spain) during Brexit. These countries represent the five financially troubled economies of the Eurozone that have suffered the most during the Brexit referendum. It was found that all 77 crashes across the five IIGPS nations from 19 January 2015 until 17 February 2020 strictly followed a log-periodic power law or other LPPL signature. They all had a speculative bubble phase (following the power law growth) that was then followed by a sudden crash immediately after reaching a critical point. Furthermore, their pattern coefficients were similar as well. This study would surely assist policymakers around the Eurozone to predict future crashes with the help of these parameters.  2021 by the authors. Licensee MDPI, Basel, Switzerland.</text>
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                <text>Ghosh B.; Papathanasiou S.; Ramchandani N.; Kenourgios D.</text>
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                <text>Mathematics, Vol-9, No. 9</text>
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                <text>&lt;a href="https://doi.org/10.3390/math9091003" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3390/math9091003&lt;/a&gt;
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                <text>Ghosh B., RV Institute of Management, Bangalore, 560041, India; Papathanasiou S., Department of Economics School of Economics and Political Sciences, National and Kapodistrian University of Athens Greece, Athens, 10679, Greece; Ramchandani N., Christ University, Bangalore, 560029, India; Kenourgios D., Department of Economics School of Economics and Political Sciences, National and Kapodistrian University of Athens Greece, Athens, 10679, Greece</text>
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                <text>ASD; Developmental delay; Machine learning; MRIs; Screening tools</text>
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                <text>Autism is a neurological developmental disorder that impacts a persons physical, social, and emotional behavior. This disorder develops over time and is characterized by social deficits and repetitive behavior. Although there is no cure for this disorder, an early diagnosis and intervention can do significant wonders and can help the subject to become active functioning members of the family and society. The aim of this study is to minimize the diagnostic period by finding an optimal diagnosis procedure from the existing diagnosis tools. The diagnosis of autism can be done in three ways: 1. clinical evaluation; 2. screening tools; 3. brain images. In this review paper, we have thoroughly gone through all three types of diagnostic procedures and found that there was no single diagnostic tool to confirm the disorder. We also found that the diagnosis period was too long. As the result of this review, we found an ASD diagnosis triad which helps to choose the right diagnosis procedure based on the subjects age which reduces the diagnostic period and helps to aid early diagnosis by eliminating the chaos in choosing the diagnostic tools.  2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.</text>
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                <text>Sujana D.S., Christ University, Bangalore, India; Augustine D.P., Department of Computer Science, Christ University, Bangalore, India</text>
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                <text>Proliferation of internet technologies has changed the way content is created and exchanged through the Internet, prompting expansion of online networking applications and administrations. Online networking empower creation and exchanged the clients produced content and design of a scope of Internet-based applications. This development is fueled by more administrations as well as by the rate of their adoption by the users. While determined spammers misuse the built up trust connections between account proprietors and their companions to proficiently spread malignant spam, auspicious discovery of traded off records is quite challenge, because of the fixed trust association among the administration suppliers, account proprietors, and their companions. The proposed paper depicts a novel method to notice the cooperated user account in systems like Facebook and twitter. Our novel scheme consists of statistical method of modelling and detected to identity accounts that behaves a sudden change along with detected the compromised accounts. This paper gives validation of these behavioral elements by gathering and dissecting genuine client clickstreams to an OSN site. Taking into account our estimation study, further devise every client's social behavioral profile (SBP) by joining its separate behavioral element measurements. We assess the capacity of social behavioral profiles in recognizing distinctive OSN clients, and the simulation results demonstrate the social behavioral profiles precisely separate every OSN clients and distinguish traded off records.  2016 IEEE.</text>
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                <text>Shahabadkar R.; Mukesh Kamath B.; Shahabadkar K.R.</text>
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              <elementText elementTextId="188813">
                <text>Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016, pp. 1552-1557.</text>
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                <text>Presses Polytechniques Et Universitaires Romandes</text>
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                <text>&lt;a href="https://doi.org/10.1109/WiSPNET.2016.7566397" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/WiSPNET.2016.7566397&lt;/a&gt;
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                <text>Shahabadkar R., Christ University, Kengeri Campus, Kanminike, Kumbalgodu, Mysore Road, Bangalore, India; Mukesh Kamath B., Christ University, Kengeri Campus, Kanminike, Kumbalgodu, Mysore Road, Bangalore, India; Shahabadkar K.R., Department of Computer Science and Engineering, RNS Institute of Technology, Dr. Vishnuvardhan Road Channasandra, Rajarajeshwari nagar, Bangalore, India</text>
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                <text>Diagnosis of Osteoporosis from X-ray Images using Automated Techniques</text>
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            <elementTextContainer>
              <elementText elementTextId="179523">
                <text>Bone mineral density; Osteoporosis; Residual Block; Skip connections.; U-net</text>
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                <text>Osteoporosis is Bone Disease most commonly seen in aged people due to various food habits and life style habits. The bone becomes so brittle and weak which may break just from a fall. So, it is required to attend this Issue as there are various challenges faced by medical domain to identify and treat Osteoporosis. In this paper we focus on identifying and detecting osteoporosis using X-ray images using modified U-net Architecture using Residual Block and skip connections and done comparison study with existing models, as per state-of-art our model outcomes issues in existing model and obtain better accuracy.  2022 IEEE.</text>
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                <text>Dodamani P.S.; Danti A.</text>
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                <text>2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022, pp. 497-500.</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-s2.0-85137523180&amp;amp;doi=10.1109%2FCOM-IT-CON54601.2022.9850579&amp;amp;partnerID=40&amp;amp;md5=b37f1038e7f91e30eb44e9582864a0dd" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137523180&amp;amp;doi=10.1109%2fCOM-IT-CON54601.2022.9850579&amp;amp;partnerID=40&amp;amp;md5=b37f1038e7f91e30eb44e9582864a0dd&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="179530">
                <text>Restricted Access</text>
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                <text>ISBN: 978-166549602-5</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>Dodamani P.S., Christ University, Computer Science and Engineering, Bangalore, India; Danti A., Christ University, Computer Science and Engineering, Bangalore, India</text>
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              <elementTextContainer>
                <elementText elementTextId="51377">
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            <description>A name given to the resource</description>
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              <elementText elementTextId="184615">
                <text>Diagnosis of Retinal Disease Using Retinal Blood Vessel Extraction</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184616">
                <text>ANN classifier; Boundary extraction; Feature extraction; Image processing techniques; Retinal disease; Segmentation; SVM classifier</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184617">
                <text>The eye is one of the important organs of the human body. In recent times, major parts of the eye are damaged due to various retinal diseases. Major diseases related to the retina are glaucoma, papilledema, retinoblastoma, diabetic retinopathy, and macular degeneration. These diseases can be detected using image processing techniques. These diseases can cause damage to the eye; hence the early diagnosis can prevent the loss of vision. Thus the early stage of rectification may lead to smaller damage than the risky ones. By extracting the blood vessels, various retinal diseases can be identified, and the severity of the disease can also be identified. Some of these diseases in the retina will occur due to hypertension, blood pressure, and diabetics. Thus, the tear in the blood vessels leads to the loss of visuality in human beings. The proposed work consists of image processing techniques such as segmentation, feature extraction, and boundary extraction which lead to the identification of various retinal diseases with a certain level of accuracy, sensitivity, and specificity by using image processing techniques. The training and testing of retinal images are carried out by using the artificial neural network (ANN) classifier for glaucoma detection and support vector machine (SVM) classifier for detecting diabetic retinopathy.  2021, Springer Nature Switzerland AG.</text>
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              <elementText elementTextId="184618">
                <text>Paulchamy B.; Chidambaram S.; Jaya J.; Maheshwari R.U.</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <elementTextContainer>
              <elementText elementTextId="184619">
                <text>EAI/Springer Innovations in Communication and Computing, pp. 343-359.</text>
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            <name>Publisher</name>
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              <elementText elementTextId="184620">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184621">
                <text>2021-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-3-030-49795-8_34" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-030-49795-8_34&lt;/a&gt;
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184623">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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                <text>ISSN: 25228595; ISBN: 978-303049794-1</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <description>A language of the resource</description>
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              <elementText elementTextId="184626">
                <text>English</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                <text>Paulchamy B., Hindusthan institute of technology, Coimbatore, India; Chidambaram S., Christ University, Bangalore, India; Jaya J., Akshya College of Engineering and Technology, Coimbatore, India; Maheshwari R.U., Crisp System Pvt Ltd, Coimbatore, India</text>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
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              <elementTextContainer>
                <elementText elementTextId="64">
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      <name>Article</name>
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    <elementSetContainer>
      <elementSet elementSetId="1">
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="136597">
                <text>Diametral paths in total graphs of complete graphs, complete bipartite graphs and wheels</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="136598">
                <text>Central vertex; Diameter; Diametral path; Peripheral vertex; Total graph</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="136599">
                <text>The diametral path of a graph is the shortest path between two vertices which has length equal to diameter of that graph. In raising of structures with columns and beams in Civil Engineering, determining of diametral paths is of great significance. In this paper, the number of diametral paths is determined in complete graphs, complete bipartite graphs, wheels and their total graphs.  IAEME Publication.</text>
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            <elementTextContainer>
              <elementText elementTextId="136600">
                <text>Mangam T.A.; Kureethara J.V.</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="136601">
                <text>International Journal of Civil Engineering and Technology, Vol-8, No. 5, pp. 1212-1219.</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="136602">
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="136605">
                <text>Restricted Access</text>
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              <elementText elementTextId="136606">
                <text>ISSN: 9766308</text>
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                <text>Mangam T.A., Department of Mathematics, Christ University, Bengaluru, Karnataka, India; Kureethara J.V., Department of Mathematics, Christ University, Bengaluru, Karnataka, India</text>
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                <text>Quest International Multidisciplinary Research Journal, Vol-1 (2), pp. 83-86. ISSN-2278-4497</text>
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                <text>Desymmetrization of meso compounds is well recognized as a powerful method for delivering biologically relevant molecular skeletons in a few synthetic steps. Heterobicyclic olefins are a class of meso compounds which exhibit exceptional reactivity due to their high ring strain originating from the unfavorable bond angles and eclipsing interactions. Extensive research was carried out towards the synthetic transformations of oxa-, aza-, and diazanorbornenes/norbornadienes for the synthesis of a wide variety of carbocycles and heterocycles in a single step, most importantly in a stereo- and chemo-selective manner. This review summarizes the relevant aspects of diazanorbornene reactivity which will inspire the synthetic community for exploiting these highly strained bicyclic systems for the creation of extensive libraries of novel structurally and biologically interesting molecules. The review is divided into several sections based on the type of reactions that diazanorbornenes are subjected to.  2020 Wiley-VCH GmbH</text>
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                <text>European Journal of Organic Chemistry, Vol-2020, No. 42, pp. 6588-6613.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094098990&amp;amp;doi=10.1002%2Fejoc.202001131&amp;amp;partnerID=40&amp;amp;md5=2a6f41af9af271afd9e520d4f0c5907f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094098990&amp;amp;doi=10.1002%2fejoc.202001131&amp;amp;partnerID=40&amp;amp;md5=2a6f41af9af271afd9e520d4f0c5907f&lt;/a&gt;</text>
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                <text>Preethalayam P., Department of Chemistry, Payyanur College, Payyanur, Kerala, India; Jijy E., Department of Chemistry, MES College, Chembalam PO, Nedumkandam, 685553, Kerala, Idukki, India; Prakash P., Department of Chemistry, Sree Narayana College, Kollam, 691001, Kerala, India; Chand Sarngadharan S., School of Chemistry and Biochemistry, Georgia Institute of Technology, 901 Atlantic Drive, Atlanta, 30332, GA, United States; Vijayan A., Department of Chemistry, CHRIST (Deemed to be University), Hosur road, Bengaluru, 560029, India; Radhakrishnan K.V., CSIR - National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, 695019, India; John J., CSIR - National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram, 695019, India</text>
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                <text>Diazo-pyrazole analogues as photosensitizers in dye sensitised solar cells: Tuning for a better photovoltaic efficiency using a new modelling strategy using experimental and computational data</text>
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                <text>dye sensitised solar cell (DSSC); light harvesting efficiency (LHE); photovoltaic modelling; pyrazole; time-dependent density function theory (TD-DFT)</text>
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                <text>The designing of a dye sensitised solar cell (DSSC) is one of the frontiers in harvesting solar energy as it provides an alternative to economic photovoltaic devices with increased efficiency. In this manuscript, we report a new methodology using experimental and theoretical data for the evaluation of the photosensitiser activity of organic dyes using theoretical simulations and experimental cell efficiency data. As a representative example, we designed a series of 54 novel pyrazole derivatives which are subjected to TD-DFT simulations (CAM-B3LYP/6-311G++ (2d, p)) and photovoltaic modelling. Data from computational simulations, as well as known experimental cells, are used for the calculation of photovoltaic efficiency. We selected pyrazole derivatives because of its proven use in DSSC as an effective dopant in a blended polymer electrolyte in nanocrystalline DSSC. Fine-tuning with the effect of substitution and with the ?spacers at the ortho, meta and para positions for -OCH3, -OH, -CHO, -NO2 respectively were done. Enhanced efficiency of 7.439% was observed as compared to the standard cell of efficiency of 5.530%. An increase in efficiency was not observed with the effect of ?spacers. The newly designed dyes demonstrate desirable energetic and spectroscopic parameter that can lead to efficient metal-free organic dye sensitiser for DSSC's. The main advantage of this strategy is the incorporation of both simulated and experimental data. It will reduce the possible errors from the simulations and also, helps in performing time-consuming experimental studies.  2020 Walter de Gruyter GmbH, Berlin/Boston.</text>
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                <text>John A.M.; Thomas R.; Balakrishnan S.P.; Al-Zaqri N.; Alsalme A.; Warad I.</text>
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                <text>Zeitschrift fur Physikalische Chemie, Vol-235, No. 9, pp. 1227-1245.</text>
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                <text>De Gruyter Open Ltd</text>
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                <text>ISSN: 9429352; CODEN: ZPCFA</text>
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                <text>John A.M., Department of Chemistry, CHRIST, Deemed to Be University, Karnataka, Bangalore, India; Thomas R., Department of Chemistry, St. Berchmans College (Autonomous), Kerala, Changanassery, India; Balakrishnan S.P., Department of Chemistry, CHRIST, Deemed to Be University, Karnataka, Bangalore, India; Al-Zaqri N., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia, Department of Chemistry, College of Science, Ibb University, P.O. Box 70270, Ibb, Yemen; Alsalme A., Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Warad I., Department of Chemistry, Science College, An-Najah National University, P.O. Box 7, Nablus, Palestine</text>
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                <text>Dictionary-Based BPT Compression with Trimodal Encryption for Efficient Fiber-Optic Data Management and Security</text>
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                <text>Bounded Probability-Based Textual Data Compression; BPC; Compression factor; Compression ratio; End-to-end delay; PDR; PLR; Textual dataset</text>
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                <text>Fiber-optic transmission systems are capable of carrying tens of terabits per second of traffic and thereby form the core infrastructure for all Internet-based services and applications. While fiber-optic communication provides rapid data transfer, it faces the challenge of managing the substantial data volumes generated, stored, or transmitted. In the realm of fiber-optic communication, data interception is straightforward, necessitating robust security measures. One effective solution is compression-based encryption, which combines security with data compression benefits. Encryption safeguards data by transforming it into ciphertext during transmission, rendering it unreadable to attackers without knowledge of the encryption method. Data compression enhances bandwidth efficiency, enabling the efficient transmission of large data volumes using limited bandwidth. In the event of data compromise, attackers must grasp both compression and encryption methods to decipher the information, adding an additional layer of security. In this paper, an encoding technique named the Bounded Probability-Based Textual Data Compression (BPT) algorithm is introduced with trimodal encryption method for securing the short textual data while transferring from source to the destination. The BPT algorithm creates a codeword using a dictionary that assigns binary codes according to character occurrence probabilities in the input data. To decompress, the coding table must be transmitted alongside the compressed data. The trimodal encryption is used as a second tier for securing the data that was compressed using BPT algorithm. The trimodal encryption employs three encryption methods, and data is encrypted using one of these methods during transmission to the destination. The BPT algorithms performance is evaluated using benchmark textual datasets from the Calgary Corpus and the Canterbury Corpus. The experimental results demonstrate the unique characteristics of the BPT algorithm, including compression ratio (CR), compression factor (CF), bits per character (BPC), and space savings. Additionally, the Trimodal encryption algorithm (TME) method is evaluated using end-to-end delay analysis, packet loss analysis, and packet delivery ratio assessment.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.</text>
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                <text>Alapatt B.P.; Poonia R.C.; Singh C.</text>
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                <text>Smart Innovation, Systems and Technologies, Vol-392 SIST, pp. 641-658.</text>
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                <text>Alapatt B.P., CHRIST (Deemed to be University), Delhi NCR, India; Poonia R.C., CHRIST (Deemed to be University), Delhi NCR, India; Singh C., CHRIST (Deemed to be University), Delhi NCR, India</text>
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                <text>Did Russia's Invasion of Ukraine Induce Herding Behavior in the Indian Stock Market?</text>
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                <text>event window; geopolitical conflicts; herding behavior; Hurst exponent; MFDFA; multifractal; stock market; war</text>
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                <text>This study empirically examines the herding behavior of the Indian stock market investors during the heightened geopolitical tensions between Russia and Ukraine in 2022. An intensified Russia-Ukraine geopolitical event window was constructed, and the high-frequency trading data (intraday) of the Nifty index was analyzed using Multifractal Detrended Fluctuation Analysis (MFDFA) to compute the 5th-order Hurst exponent (Hq (5)) that detects herding behavior. The study's empirical results revealed the presence of profound herding behavior during the intensified Russia-Ukraine geopolitical event window. The study contributes to the existing literature on herding behavior by examining the impact of a geopolitical event on the Indian stock market. Additionally, the study utilizes MFDFA to compute Hurst exponents, a relatively new approach to detecting herding behavior in financial markets. The findings of this study may assist investors and policymakers in understanding the impact of geopolitical events on financial markets and the potential for herding behavior among investors during times of heightened uncertainty. The study's results demonstrate the interconnectedness of global events and financial markets, highlighting the need for policymakers to consider the potential social and economic consequences of geopolitical events.  2023 The Author(s).</text>
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                <text>Khan T.; Natchimuthu N.; Krishna T.A.</text>
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                <text>Theoretical and Practical Research in the Economic Fields, Vol-14, No. 2, pp. 484-498.</text>
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                <text>&lt;a href="https://doi.org/10.14505/tpref.v14.2(28).24" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14505/tpref.v14.2(28).24&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180526744&amp;amp;doi=10.14505%2Ftpref.v14.2%2828%29.24&amp;amp;partnerID=40&amp;amp;md5=2357e0f53af521bbe36974bde70e83f4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180526744&amp;amp;doi=10.14505%2ftpref.v14.2%2828%29.24&amp;amp;partnerID=40&amp;amp;md5=2357e0f53af521bbe36974bde70e83f4&lt;/a&gt;</text>
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              <elementText elementTextId="91488">
                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 20687710</text>
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                <text>Khan T., School of Commerce, Finance and Accountancy CHRIST (Deemed to be University), Bengaluru, India; Natchimuthu N., School of Commerce, Finance and Accountancy CHRIST (Deemed to be University), Bengaluru, India; Krishna T.A., Department of Professional Studies CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Did the Economic Reforms Change the Macroeconomic Drivers of the Indian Economy in the Post-Reform Era? An ARDL Bounds Test Approach</text>
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          <element elementId="49">
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              <elementText elementTextId="91745">
                <text>domestic savings; economic growth; government consumption expenditure; inflation; private consumption expenditure</text>
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                <text>Purpose: The purpose of this study is to investigate the macroeconomic forces that have been driving the Indian economy during both the pre-reform and post-reform eras, that is, from 1950-1951 to 1990-1991 and from 1991-1992 to 2022-2023 respectively. Problem: The Indian economy underwent significant economic and financial sector reforms in 1991-92, with the goal of reviving its stagnant growth. These reforms are intended to spur the economic growth of India. What were the main forces behind the Indian economy before and after the reforms? Is the research question. The goal of the current study is to determine if the economic reforms shifted or maintained the pre-reform eras driving forces for the Indian economy in the post-reform era. Design/Methodology/Approach: The gross domestic product (GDP), the gross domestic savings (GDS), the private consumption expenditure (PFCE), the government final consumption expenditure (GFCE), the inflation rate, the exchange rate, the exports, the imports, the internal and external borrowings of the government, personal remittances, foreign direct investment (FDI), and foreign portfolio investments (FPI) are all taken into consideration in order to fill the research gap that has been identified as a result of the comprehensive review of the literature. Following an analysis of the selected variables' fundamental characteristics, an econometric model is developed using the Autoregressive Distributed Lag (ARDL) Bounds Test Model. Findings: There is no evidence of long-run causation and association between the variables, but the findings of the ARDL Bounds Test showed that in the pre-reform period, PFCE is the major driver of the GDP in the short-run, with strong support from imports. However, since the reform, PFCE, GDS, and Exports are the primary short-and long-term contributors to GDP. Practical Implication: These findings indicate that India's macroeconomic system is shifting. The Indian economy has undergone a dramatic shift, moving away from a reliance on imports and toward one that is consumer-driven and export-driven. As savings and consumer expenditures are the main drivers of the Indian economys growth in the post-reform era, policies should be designed to increase savings and consumption as well as increase exports.  2023, ASERS Publishing House. All rights reserved.</text>
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              <elementText elementTextId="91747">
                <text>Reddy P.S.; Bagrecha C.; Krishnan M.G.</text>
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              <elementText elementTextId="91748">
                <text>Theoretical and Practical Research in the Economic Fields, Vol-14, No. 2, pp. 295-316.</text>
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                <text>&lt;a href="https://doi.org/10.14505/tpref.v14.2(28).10" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14505/tpref.v14.2(28).10&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180500220&amp;amp;doi=10.14505%2Ftpref.v14.2%2828%29.10&amp;amp;partnerID=40&amp;amp;md5=ef4dc8e7556e4fa09545ae69461c7a14" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180500220&amp;amp;doi=10.14505%2ftpref.v14.2%2828%29.10&amp;amp;partnerID=40&amp;amp;md5=ef4dc8e7556e4fa09545ae69461c7a14&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="91752">
                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 20687710</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="91757">
                <text>Reddy P.S., Faculty of Management Studies, CMS Business School Jain deemed to be a University, India; Bagrecha C., Faculty of Management Studies, CMS Business School Jain deemed to be a University, India; Krishnan M.G., School of Business Management Christ Deemed to be University, India</text>
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          <elementContainer>
            <element elementId="50">
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              <description>A name given to the resource</description>
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                <elementText elementTextId="64">
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            <elementTextContainer>
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                <text>Did the selected economic variables impact the inflation and GDP growth of India during 1990-2016? /</text>
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                <text>Management</text>
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              <elementText elementTextId="9855">
                <text>Sumedha Journal of Management, Vol.7, Issue 3, pp.1-21, Print ISSN No. 2277-6753. Online ISSN No. 2322-0449.</text>
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              <elementText elementTextId="9856">
                <text>Dr. P. Sreelakshmi and Ms. Jain Sneha</text>
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                <text>&lt;a href="https://www.indianjournals.com/ijor.aspx?target=ijor:sjm&amp;amp;volume=7&amp;amp;issue=3&amp;amp;article=001" target="_blank" title="Did the selected economic variables impact the inflation and GDP growth of India during 1990-2016?" rel="noreferrer noopener"&gt;https://www.indianjournals.com/ijor.aspx?target=ijor:sjm&amp;amp;volume=7&amp;amp;issue=3&amp;amp;article=001&lt;/a&gt;</text>
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              <elementText elementTextId="9858">
                <text>CMR College of Engineering &amp; Technology</text>
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                <text>The dissertation titled “Didacticism in Popular Bollywood Films: A Study on Rajkumar Hirani's Directorial Films,” speaks about the representation of didactic elements in popular Bollywood films. Didacticism is a philosophy that has been employed in various artistic endeavours from time before the Ancient Greeks. This philosophy believes that any piece of literature or art are meant to both entertain and educate. Popular cinema is also an artistic medium and has the ability to attract a number of people. Popular Bollywood Cinema helps us to understand a lot about the culture and lifestyle of the people.</text>
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                <text>Defects; Dielectric constant; Loss tangent; Pre-graphitic material; Relaxation mechanism</text>
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                <text>Cost-effective and environmentally benign approach was adopted for the synthesis of oxidized graphene nanostructures from the precursor coke via Improved Hummers' method. The surface states of oxygen functional groups provided strong polarization for enhanced dielectric properties. Occurrence of dipole and interfacial polarizations in the low frequency region contributed to the dispersive behaviour of ?', ?", and tand.The relaxation phenomenon of the structure lead to an augmented electrical conductivity with increase in frequency. Our finding reveals the advantageous fabrication of graphene nanostructure having high dielectric constant (1 0 5) but with low loss which can be used in advanced nanodielectrics.  2020 Elsevier Ltd. All rights reserved.</text>
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                <text>Thomas R.; Manoj B.</text>
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                <text>Materials Today: Proceedings, Vol-43, pp. 3424-3427.</text>
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                <text>Thomas R., Department of Physics and Electronics, Christ (Deemed to Be University), Bangalore, 560029, Karnataka, India; Manoj B., Department of Physics and Electronics, Christ (Deemed to Be University), Bangalore, 560029, Karnataka, India</text>
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                <text>breakdown voltage; dielectric strength; insulator; mineral oil; solid dielectric; transformer oil; transformers; vegetable oil; viscosity</text>
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                <text>Transformers are the most vital part of the power transmission and distribution system. Protecting them from all possible abnormalities is of very high priority. The insulation levels in the transformers need to be of very high grade as the power and voltage levels of a transformer are very high. Transformers are generally filled with petroleum based mineral oil as an insulator and also as a coolant inside them. These oils are highly inflammable and also highly toxic. They are also non-biodegradable, causing major harm to the environment. Vegetable oils which are abundant in nature unlike the mineral oil is being studied as a suitable substitute for mineral oils as transformer oil. The availability of vegetable oils differ from place to place. The work here focusses on the commercially available vegetable oils in India. Seven different samples of oil are tested for their dielectric properties and viscosity and the best one among them is tested with a solid dielectric (epoxy) immersed within it in order to simulate more appropriate conditions of a practical transformer. The tests are conducted based on Indian Standards (IS6792).  2016 IEEE.</text>
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                <text>Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>George M., Dept. of EEE, Christ University, Faculty of Engineering, Bangalore, India; Manikandan P., Dept. of EEE, Christ University, Faculty of Engineering, Bangalore, India</text>
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                <text>Saldanha, Avil; Aranha, Rekha Hitha; Kujur, Prerna Shalini</text>
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                <text>Diet Coke faces negative publicity</text>
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                <text>CASE Journal;pp.1-10</text>
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                <text>Saldanha A., Department of Marketing, St. Josephs Institute of Management, Bangalore, India; Aranha R.H., Department of OB and HR, School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Kujur P.S., Department of Marketing, St. Josephs Institute of Management, Bangalore, India</text>
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                <text>Research methodology  A secondary research method was used to collect data for this case. The authors have made use of newspaper articles and published articles written by journalists and experts, which are available in the public domain. The protagonists name has been masked. Case overview/synopsis  This case study examine the controversy surrounding Diet Coke and the dilemma faced by the Coca-Cola vice president of marketing, Henry Kingston, over its product labeling. While Diet Coke has long been favored by health-conscious consumers seeking a low-calorie alternative, concerns over its use of aspartame, an artificial sweetener linked to potential health risks, had sparked consumer backlash, regulatory scrutiny and accusations that the company was misleading consumers with its labeling. The issue gained momentum when former US President Donald Trump publicly switched to regular Coke, citing health concerns over aspartame, further fueling media debates on artificial sweeteners. With increasing pressure from social media, consumer advocacy groups and regulatory bodies questioning whether the term diet misleads consumers into assuming the product is inherently healthier, Coca-Colas senior management team led by its CEO faces a critical dilemma  whether to retain the strong brand recognition of Diet Coke or reposition the product with greater transparency. The case highlights the challenges of ethical marketing, corporate responsibility and consumer health awareness in the food and beverage industry, raising crucial questions about balancing brand loyalty with regulatory compliance and evolving consumer expectations. Complexity academic level  This case study is suitable for under-graduate and post graduate students studying marketing strategy and brand management courses in business management and commerce streams can use this case. This case can also be used for marketing specialization courses at the undergraduate and postgraduate levels.  2025 Emerald Publishing Limited</text>
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                <text>Diet of the Dattatreya night frog Nyctibatrachus dattatreyaensis from the central Western Ghats, India</text>
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                <text>Herpetological Bulletin;Issue;171;pp.6-11</text>
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                <text>&lt;a href="https://doi.org/10.33256/hb171.611" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.33256/hb171.611&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/86000762873?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/86000762873?origin=resultslist&lt;/a&gt;</text>
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                <text>Arpitha J., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 5600029, India, EDGE of Existence Programme, Conservation and Policy, Zoological Society of London, London, NW1 4RY, United Kingdom; Ganesh S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 5600029, India</text>
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                <text>The Dattatreya night frog Nyctibatrachus dattatreyaensis, found in the Chandra Drona Parvatha massif, is a stream-dwelling, evolutionarily distinct and globally Endangered species threatened by increasing habitat loss and alteration. We examined the stomach contents of 104 individuals, from ten different streams, of which 42 had prey in their stomachs. The prey items were in 12 orders across 4 classes, mainly dipterans, hymenopterans and lepidopterans. The frog exhibits a passive foraging mode, has a moderate trophic niche breadth (Bst = 0.43), and may have a preference for agile prey. Apart from this, there were plant materials, sand grains and plastic debris found in the stomach contents, with 0.82 mm3 of plastic debris found in eight individuals across three streams. The presence of plastic debris indicates the impact of anthropogenic activities leading to a form of habitat degradation. The data presented indicates the need for immediate and efficient conservation strategies to be put in place for this understudied species.  2025 British Herpetological Society. All rights reserved.</text>
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                <text>All Open Access; Gold Open Access</text>
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