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                <text>Raghunandan, G.</text>
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                <text>New Business Development Strategies for Achieving Sustainable Growth;pp.xii-xiii</text>
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                <text>Raghunandan G., Christ University, India</text>
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                <text>Foreign Currency Exchange (FOREX) engages a major role in world economy and the international market. It is a vast study based on determining whether or not to wait, buy or sell on a trading currency pair. The main objective is to predict the future currency prices using historical data in order to make more informed and accurate investment decisions for business traders and monetary market. This work experimented and implements ten machine learning strategies namely Random Forest, Decision Tree, Support vector regressor (SVM), Linear SVM, Linear Regression, Ridge, Lasso, K-Nearest Neighbor (KNN), Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) to assess the historical data and help the traders to invest in foreign currency exchange. The dataset used to validate and verify the machine learning algorithms is available in public domain and it is the daily Foreign Currency Exchange price of United States Dollars (USD) to Indian Rupees (INR). The experimented result shows that the Long Short-Term Memory (LSTM) model performs a bit better than the other machine learning models for this particular case. This work straight away does not reject the other methods it rather needs more experimental analysis with other models that has changed architecture and different dataset.   2024 IEEE.</text>
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                <text>Fatima A.; Sarangi P.K.; Sahoo A.K.; Dutta M.; Nayak S.R.; Sinha D.</text>
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                <text>Proceedings of the 14th International Conference on Cloud Computing, Data Science and Engineering, Confluence 2024, pp. 870-875.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/Confluence60223.2024.10463476" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/Confluence60223.2024.10463476&lt;/a&gt;
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                <text>Fatima A., Chitkara University Institute of Engineering &amp;amp; Technology, Chitkara University, Punjab, India; Sarangi P.K., Chitkara University School of Engineering &amp;amp; Technology, Chitkara University, Himachal Pradesh, India; Sahoo A.K., Graphic Era Hill University, Dehradun, India; Dutta M., Chitkara University Institute of Engineering &amp;amp; Technology, Chitkara University, Punjab, India; Nayak S.R., School of Computer Engineering, Kiit Deemed to Be University, Odisha, Bhubaneswar, 751024, India; Sinha D., Christ (Deemed to Be University), Delhi NCR, India</text>
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                <text>emerging adults; Forgiveness; personality traits; religiosity; spirituality</text>
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                <text>The present study aims to examine the three important aspects of emerging adulthood, religiosity and spirituality, personality traits, and forgiveness which bring well-being benefits. It is hypothesized that religiosity and spirituality along with personality traits predict forgiveness among emerging adults. The Neo Five-Factor Inventory (NEO FFI), the Religiosity and Spirituality Scale for Youth (RaSSY), and the Heartland Forgiveness Scale (HFS) were administered to 364 female and 390 male emerging adults (n = 754; mean age = 21 years, SD = 14.88) selected through purposive sampling technique from colleges in Bangalore. Data were analyzed using correlational and hierarchical regression analysis. This study found that religiosity and spirituality and the Big Five personality traits positively correlated with forgiveness whereas all personality traits, except neuroticism, strongly predicted forgiveness more than religiosity and spirituality. These findings suggest that faith-based coping and religious social support in combination with personality traits help emerging adults practice forgiveness in their daily life, leading to further insight into the theories of forgiveness and well-being.  2023 Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>Raj P.; Padmakumari P.</text>
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                <text>Child and Youth Services, Vol-45, No. 3, pp. 278-299.</text>
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                <text>Raj P., Department of Psychology, Jyoti Nivas College Autonomous, Bangalore, India; Padmakumari P., Department of Psychology, CHRIST (Deemed-to-be-University), Bangalore, India</text>
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                <text>Gnana Sanga Mithra, S.; Bhavana, S.</text>
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                <text>Forgotten lives: A mixed-methods study on cognitive decline associated with discrimination among elderly transgender individuals in India</text>
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                <text>Social Science and Medicine;Volume;384;Issue;;Article No.;118512;</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.socscimed.2025.118512" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.socscimed.2025.118512&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105014280270?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105014280270?origin=resultslist&lt;/a&gt;</text>
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                <text>Gnana Sanga Mithra S., Vinayaka Mission's Law School, Vinayaka Mission's Research Foundation (DU), Chennai, India; Bhavana S., Department of Media Studies, Christ University, Bengaluru, India</text>
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                <text>Transgender older adults face a unique and under-researched set of health risks, particularly in relation to cognitive decline. This mixed-methods study explores how lifelong discrimination contributes to cognitive vulnerability among elderly transgender individuals in India. Quantitative data were collected through surveys with 137 participants aged 45 and above, while qualitative insights were drawn from 35 semi-structured interviews. Results revealed that the mean cognitive decline score (M = 5.93) was significantly higher than the general population benchmark (t(135) = 5.39, p &amp;lt; 0.001), with qualitative narratives expressing fear of gender reversal due to memory loss. Notably, over 69 % of respondents lacked confidence in healthcare providers' knowledge of transgender health needs, and 60 % reported frequent or constant social isolation. The findings were interpreted using Minority Stress Theory, highlighting the compounded impact of lifelong stigma, medical neglect, and aging. This study underscores the urgent need for trans-inclusive memory care, provider training, and policy-level reforms in eldercare services.  2025 Elsevier Ltd</text>
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                <text>Formal banks, semi-formal SHGs or informal moneylenders, who is better? a study of borrower credit preference in India</text>
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                <text>Agency theory; banks; moneylenders; preference; self-help groups</text>
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                <text>The present study explores the factors driving borrowers preference for formal banks, self-help groups (SHGs) and moneylenders. The study is based on a systematic survey of 839 rural borrowers from southern India, sampled from four districts with varied levels of credit access (surplus, constrained and moderate credit). The data was analysed using multinomial logistic regression in SPSS. Results show how banks and moneylenders exclude borrowers based on relative wealth and gender. SHGs service women borrowers but are preferred more by wealthier borrowers, highlighting intragroup inequalities. Yet, the three lenders service a variety of purposes, justifying their demand in the market. The study enhances understanding of rural borrowers constraints concerning various credit sources. The implications of this study are as follows: one is identifying the lacunae in the formal banking system, which policy amendments could address. Two, the study recommends an investigation of intragroup inequalities within SHGs. Third, the study underscores the demand for multiple players in the rural credit markets and their contribution to the borrowers credit needs.  (2024), (Indian Academy of Sciences). All rights reserved.</text>
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                <text>Koride P.; Ganesh L.</text>
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                <text>Current Science, Vol-127, No. 2, pp. 182-193.</text>
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                <text>Koride P., M.S. Ramaiah University of Applied Sciences, University House, New BEL Road, MSR Nagar, Mathikere, Bengaluru, 560 054, India; Ganesh L., Christ (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Bengaluru, 560 029, India</text>
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                <text>Thorawade, Sahil; Patel, Rupali; Bhide, Aniruddha; Gupta, Suraj; Fernandes, Rohan; Patel, Nainesh</text>
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                <text>Formaldehyde electrolysis in a membrane-free electrolyzer: low-energy hydrogen and formate co-production with Cu-based boride electrocatalysts</text>
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              <elementText elementTextId="211469">
                <text>Journal of Materials Chemistry A;Volume;14;Issue;23;pp.14623-14636</text>
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                <text>&lt;a href="https://doi.org/10.1039/d5ta09705c" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1039/d5ta09705c&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105033103424?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105033103424?origin=resultslist&lt;/a&gt;</text>
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                <text>Thorawade S., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Bhide A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Gupta S., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India</text>
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                <text>The formaldehyde oxidation reaction (FOR) offers a low-energy alternative to the oxygen evolution reaction (OER) for electrochemical hydrogen production, enabling simultaneous generation of value-added formate. Here, we report a boron-doped copper catalyst on copper foam (B/CuxO/CF) that efficiently catalyzes FOR with an ultralow onset potential of 0.06 V at 100 mA cm?2. Compared to its phosphorus- and sulfur-doped counterparts (P/CuxO/CF and S/CuxO/CF), B/CuxO/CF exhibits markedly superior activity with ?97% formate yield. Surface analysis confirms the critical role of coexisting Cu+/Cu2+ species in B/CuxO in facilitating the key FOR steps of adsorption and CH cleavage, while the presence of boron improves charge transfer and active site availability. The limited HER activity of B/CuxO/CF was effectively addressed by coupling it with a Ni-based phospho-boride catalyst on Ni foam (NiPB/NF) that delivers selective and high hydrogen evolution performance, even in formaldehyde-containing media. The asymmetric NiPB/NF?B/CuxO/CF configuration achieved 100 mA cm?2 at only 0.25 V and sustained long-term stability with continuous HCHO replenishment, maintaining 300 mA cm?2 for over 8 hours. Operated in a membrane-free flow cell, the system maintained ?90% formate yield with a H2 production faradaic efficiency of ?190%, nearly doubling the hydrogen output. This hybrid strategy not only lowers energy input by 1.64 V compared to water electrolysis but also demonstrates viability for decentralized hydrogen and chemical co-production with economic benefits. This journal is  The Royal Society of Chemistry, 2026</text>
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              <elementText elementTextId="211473">
                <text>Royal Society of Chemistry</text>
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                <text>ISSN: 20507488; CODEN: JMCAE</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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                <text>Formant frequency estimation of artificial larynx transducer speech using recurrent neural network</text>
              </elementText>
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          </element>
          <element elementId="49">
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="132166">
                <text>ALT speech; DREL noise; F1 Formant deviation; Formant frequency; Mel frequency Cepstral Coefficient (MFCC); RNN</text>
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                <text>Human Beings communicate with each other by speaking. The speech as a signal has 2 components voiced and unvoiced speech. Voiced speech is produced by the excitation produced at glottis and unvoiced is produced by noise created at the mouth. The voiced components that is produced at glottis passes through the vocal tract and then reach the mouth. The nature of the speech is determined mostly at the vocal tract. But for some reason for some people the speech produced is not proper because of the organ problems or motor disorder issue. In these cases, the speech produced is called disordered speech and termed with the names like stammering, apraxia, dysar-theria and so on. In some case, the larynx is removed from human body because of cancer or other issues. For them, Artificial Larynx Transducer (ALT) is given to produce substitution voice. This paper aims at formant frequency estimation of the speech produced with the help of ALT using Recurrent Neural Network (RNN) method. The speech produced with the help of ALT will lack in naturalness and intelligibility. The direct noise coming from ALT device is called DREL noise. This also creates irritability to the listener. So in this paper, a method is proposed for the DREL noise removal and formant frequency estimation of the ALT speech.  2019, Institute of Advanced Scientific Research, Inc.. All rights reserved.</text>
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                <text>Inbanila K.; Kumar E.K.</text>
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              <elementText elementTextId="132169">
                <text>Journal of Advanced Research in Dynamical and Control Systems, Vol-11, No. 1 Special Issue, pp. 72-81.</text>
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                <text>Institute of Advanced Scientific Research, Inc.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070943606&amp;amp;partnerID=40&amp;amp;md5=5fa13b975c7330a0594e6e53c982d4b0" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070943606&amp;amp;partnerID=40&amp;amp;md5=5fa13b975c7330a0594e6e53c982d4b0&lt;/a&gt;</text>
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                <text>ISSN: 1943023X</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="132176">
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                <text>Inbanila K., Electronics and Communication Engineering, CHRIST (Deemed to be University), India; Kumar E.K., Electronics and Communication Engineering, East Point College of Engineering and Technology, Bangalore, India</text>
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                <text>Formation and photoluminescence of ZnS:Tb nanoparticles stabilized by polyethylene glycol</text>
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                <text>ZnS nanoparticles doped with 1 mol.% of Tb have been prepared at 70 C by simple chemical precipitation method using poly ethylene glycol (PEG) as capping agent. The synthesized nanoparticles have been analysed using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), photoluminescence (PL) and UV-Vis absorption spectroscopy. From X-ray diffraction analysis, it was found that nanostructured ZnS:Tb particles exhibited cubic structure with an average crystallite size of 2.75 nm. Room temperature photoluminescence (PL) spectrum of the doped sample exhibited broad emission in the visible region with multiple peaks at 395 and 412 nm due to 5D3?7F6and 7F5transitions and 492, 536, 600, 653 and 680 nm due to 5D4?7F67F57F4,7F1and 7F0transitions.  2020 Elsevier Ltd. All rights reserved.</text>
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                <text>Bindu K.R.; Anila E.I.</text>
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                <text>Materials Today: Proceedings, Vol-42, pp. 563-566.</text>
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                <text>Bindu K.R., Sree Sankara Vidyapeetom College, Valayanchirangara, 683556, Kerala, India, Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics, Union Christian College, Aluva, 683102, Kerala, India; Anila E.I., Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics, Union Christian College, Aluva, 683102, Kerala, India, Department of Physics and Electronics, CHRIST (Deemed to Be University), Bengaluru, 560029, India</text>
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                <text>Formation of Positive Organizational Climate: Integration of Ubuntu Diversity Management in Banks</text>
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                <text>A positive organizational climate requires incorporating the notion of Ubuntu into workforce diversity management. Ubuntu in the banking business is essential for improved workforce diversity management and a better workplace climate for women. Employees look for a healthy and positive organizational climate in their workplace settings. Nelson Mandela and Mother Teresa are ideal examples of Ubuntu; they lived a life of selflessness and humanity. In todays competitive world, the concept of Ubuntu is not widely accepted in banking. Banks are vying for new customers, market share, and business loans. Bank services include credit card processing, reconciliation and reporting, cheque collection; payroll; and deposit. They do not have time to think about Ubuntu. The banking sectors operations are tedious, causing tension among employees. Stress is lethal in COVID-19. Using various literature reviews, this study shows how stress can be lethal during COVID-19. Globally, the value system of Ubuntu and Gandhian ideologies are abandoned in favour of monetary gain, resulting in a cruel society. Violence against minority discrimination and black oppression still prevails in our society. Suppression and tyranny have always existed, but COVID-19 triples their impact. One solution is to bring forth Ubuntu. Even if it is too late, we can still revive our society. With Africas great diversity, fostering unity is the key to peace and growth. The best way to achieve peace and progress is to employ Ubuntus values. One continent, one philosophy could be a way out for Africa, but it would necessitate contributions from all African leaders.  2022. Journal of International Womens Studies.</text>
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                <text>Singha S.; Sivarethinamohan R.</text>
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                <text>Bridgewater State College</text>
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                <text>ISSN: 15398706</text>
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                <text>Singha S., Christ University, Bangalore, India, Kristu Jayanti College (Autonomous), India; Sivarethinamohan R., Christ University, Bangalore, India</text>
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                <text>FORMATION OF REDDY IDENTITY IN SOUTHERN KARNATAKA 1900-2000 CE</text>
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                <text>K.R MUNIRAJU</text>
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                <text>2012</text>
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                <text>Reddy is the name of a socio-economically and politically dominant community found in Southern India. Today one of the largest single community grouping in south India in general and Andhra Pradesh in particular is Reddy community. They are generally considered traditional village headmen. They had a remarkable history since the period of shatavahanas of 2nd century BCE and the various people from this community have helped people in large way throughout the period and they are socially committed and economically enterprise. Historically the people of the Reddy community had appears some were very wealthy Landowners and Businessmen. Famous Kings, Awardees, Academics, Scientists &amp;amp; Civil Servants, Business Leaders &amp;amp; Entrepreneurs, famous Politicians, Entertainers &amp;amp; Film Professionals, Freedom Fighters, Activists &amp;amp; Philanthropists, Poets and Writers and many more. Though the community regarded their ancestors belongs Andhra Pradesh Telugu as their mother tongue, they assimilated with the regional culture of Karnataka and became proficient in Kannada language too. 

The community played major role in political arena and became one among the makers of modern Karnataka. Since 1900 their Political identity was expressed through political associations, Freedom movement, and backward class movement and pressurizing for establishment responsible government in Mysore region. Socially the community has been identified as an important caste in south India. The marriage ceremony is sanctified through the authorization of Brahmana, Dasayya. The community has the complex setup within itself because they are in large number. They have peculiar social practices of the appreciation of Brahmanical ideas and process of sankritization is rooted in the original beliefs of Reddy community, The Practice of bride price, widow remarriage, the Brahmin priest not invite to their marriage occasion by some sub castes and many more. The community extended its liberal attitude towards improving the status of women has resulted in arising of many women as industrialists, artists, scientists, physicians, realtors, sports persons and scholars. Economically they are committed to land and agriculture. 

Culturally the community has predominant followers of the Hinduism with Veerashaiva, Vaishnava and Shaktha sects as the most important faiths. Their annual pilgrimage is to the temple of Shrishaila Mallikarjuna. Yogi VemanaReddy and HemaReddy Mallama were as the legends. The Brahmanical idenitity is not observed and accepted by all denomination of Reddys. The ??Guru Paramapare also exists among the Reddy communities. Each sub caste has to pay their homage to their respective Gurus, who preside over the Matha. The festivals celebrated by the community like Bandi Devara Habba and Makkala Dyavaru are the most specific ones. It has to be accepted as liberation from some hierarchical control and assertion of a community attempting to carve a certain niche status which resulted in a form of monastic tradition or Gurupeeta tradition since the last two decade in Karnataka. Being the promoters of education and literature they established schools, colleges, training centers, hostels and study centers. They are socially advanced, economically developed, politically organized and culturally established. Thus they become influential factor in formation of social-political-economic identity in southern Karnataka.

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                <text>Formula One Race Analysis Using Machine Learning</text>
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                <text>Decision-making; Machine learning; Motorsport; Predictions; Race; Simulation; Strategy</text>
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                <text>Formula One (also known as Formula 1 or F1) is the highest class of international auto-racing for single-seater formula racing cars sanctioned by the Fation International de automobile (FIA). The World Drivers Championship, which became the FIA Formula One World Championship in 1981, has been one of the premier forms of racing around the world since its inaugural season in 1950. This article looks at cost-effective alternatives for Formula 1 racing teams interested in data prediction software. In Formula 1 racing, research was undertaken on the current state of data gathering, data analysis or prediction, and data interpretation. It was discovered that a big portion of the leagues racing firms require a cheap, effective, and automated data interpretation solution. As the need for faster and more powerful software grows in Formula 1, so does the need for faster and more powerful software. Racing teams benefit from brand exposure, and the more they win, the more publicity they get. The papers purpose is to address the problem of data prediction. It starts with an overview of Formula 1s current situation and the billion-dollar industrys history. Racing organizations that want to save money might consider using Python into their data prediction to improve their chances of winning and climbing in the rankings.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Keertish Kumar M.; Preethi N.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-540, pp. 533-540.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>ISSN: 23673370; ISBN: 978-981196087-1</text>
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                <text>A comparative analysis on the effects of plant based (PD), animal based (AD) and probiotic based (PrD) diets on growth performance in Danio rerio was investigated. Different diets were administered as either single or combination diet (CD) containing PD, AD and PrD exhibited varying effects on growth and development. The probiotic bacteria isolated from Indian prawn (Penaeus indicus) was identified as Bacillus sp using 16s rRNA sequencing and phylogenetic analysis. The isolate was characterized by evaluating its ability to survive at different pH, temperature and simulated artificial gastric environment and was further subjected to varying concentrations of salt and organic solvents. Antibiofilm activity of the isolate was evaluated against fish pathogens; Vibrio harveyi (96.12.7%), Escherichia coli (96.21.5 %,), Pseudomonas aeruginosa (95.33.0%) and Staphylococcus aureus (96.72.8%). After the end of trail period, growth parameters were evaluated. Weight gain percentage was significantly higher in PrD (15.70.08 %) compared to other treatments. (p&amp;lt;0.05). Feed conversion ratio was least in CD (0.350.09) and feed efficiency (2.70.08) in CD was numerically high compared to other treatments. (p&amp;gt;0.05).The study promotes sustainable aquaculture by the use of alternative aqua feeds derived from plant or animal based sources. The study also highlights the usage of probiotics in improving growth performance, disease resistance in aquatic animals.  2021. Paari et al.</text>
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                <text>Advances in Animal and Veterinary Sciences, Vol-9, No. 9, pp. 1489-1497.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 23093331</text>
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                <text>Samuel R.A., Department of Life sciences, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Dash S.S., Department of Life sciences, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Ali.L R., Department of Life sciences, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Paari K.A., Department of Life sciences, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India</text>
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                <text>composite ink; direct ink writing; nanoparticle synthesis; Nickel oxide ink; nickel oxidegraphene ink</text>
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                <text>Nickel oxide (NiO) is a p-type material with a wide bandgap of 3.6 to 4eV, and graphene is a zero-bandgap material. When the two materials are combined to form a composite, their structural, optical, and electrical properties are enhanced. This work presents the formulation of nickel oxide (NiO)graphene composite ink (with ethylene glycol as a solvent) for the fabrication of thin-film electrodes using a direct ink writing technique. NiO is used in nanopowder form, which is prepared via a wet-chemical approach. NiO ink is prepared in three different concentrations of 40mg/ml (N1), 60mg/ml (N2), and 70mg/ml (N3). Graphene ink (G) is also prepared in concentrations of 0.5mg/ml (G1), 1mg/ml (G2), and 2mg/ml (G3). Among the pure NiO inks, it was observed that low resistance and uniform printing were obtained for N2. Therefore, N2 is mixed with different concentrations of graphene to form the composite ink, which is further printed on the substrates. The rheological properties of all the formulated inks are measured. An extrusion-based direct-write system is employed for printing the inks on a glass substrate. The printed samples are characterized before and after annealing at 250C for 2h. The resistance of the composite ink (N2G1) is decreased by 53% in comparison with the pure NiO ink (N2). As the conductivity of the composite ink thin film is in the range of M?, they could find application in the field of gas sensing and thermistors.  The Minerals, Metals &amp;amp; Materials Society 2024.</text>
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                <text>Thakur N.; Thomas N.; Koshy A.M.; Swaminathan P.; Murthy H.</text>
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                <text>Journal of Electronic Materials, Vol-53, No. 5, pp. 2573-2582.</text>
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                <text>&lt;a href="https://doi.org/10.1007/s11664-024-10984-3" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11664-024-10984-3&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187653988&amp;amp;doi=10.1007%2Fs11664-024-10984-3&amp;amp;partnerID=40&amp;amp;md5=1998b426578b42d32c21ef101d964bbc" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187653988&amp;amp;doi=10.1007%2fs11664-024-10984-3&amp;amp;partnerID=40&amp;amp;md5=1998b426578b42d32c21ef101d964bbc&lt;/a&gt;</text>
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              <elementText elementTextId="81262">
                <text>All Open Access; Hybrid Gold Open Access</text>
              </elementText>
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                <text>ISSN: 3615235; CODEN: JECMA</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>
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                <text>Thakur N., Department of Electronics and Communication, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Thomas N., Electronic Materials and Thin Films Lab, Department of Metallurgical and Materials Engineering, Indian Institute of Technology Madras, Chennai, 600036, India; Koshy A.M., Electronic Materials and Thin Films Lab, Department of Metallurgical and Materials Engineering, Indian Institute of Technology Madras, Chennai, 600036, India; Swaminathan P., Electronic Materials and Thin Films Lab, Department of Metallurgical and Materials Engineering, Indian Institute of Technology Madras, Chennai, 600036, India; Murthy H., Department of Electronics and Communication, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India</text>
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              <elementText elementTextId="264956">
                <text>Gayathri, Ragul M; P R, Ancy Nidhin</text>
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                <text>FortGen IDS: The Fusion of SOAR and Hybrid IDS for Enterprise</text>
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              <elementText elementTextId="264959">
                <text>Lecture Notes in Networks and Systems;Volume;1636 LNNS;pp.306-317</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-3-032-05802-7_33" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-032-05802-7_33&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105020172332?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105020172332?origin=resultslist&lt;/a&gt;</text>
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                <text>Gayathri R.M., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bengaluru, India; P R A.N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bengaluru, India</text>
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                <text>In this data era, enterprise are encountering rise of challenges in detecting and responding to cyberattacks. There is a need for a sophisticated cyber approach that leverages cutting-edge technologies to fortify against the unexpected attacks. This paper presents FortGen IDS, a novel cybersecurity solution combining Security Orchestration, Automation, and Response (SOAR) with Hybrid Intrusion Detection Systems (IDS). The primary contribution of FortGen IDS is its innovative algorithm inspired by Genghis Khans military tactics, enhancing threat detection and response, particularly against Distributed Denial-of-Service (DDoS) attacks. The proposed model leverages advanced automation and orchestration capabilities to provide a more holistic approach to enterprise cybersecurity. Empirical validation studies have been carried out to determine the best algorithm for anomaly detection, also explicitly comparing the performance of FortGen and Hybrid IDS. It helps make businesses digital defenses stronger against evolving cyber threats. This approach has greater scope in improving cyber-defense in the context of enterprise security, ensuring that firms are well-fortified against potential cyber threats.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="264963">
                <text>Cyber Defense; DDoS; Enterprise Security; FortGen IDS; Hybrid IDS; Intrusion Detection System; Isolation Forest; SOAR</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>ISSN: 23673370; ISBN: 978-303205801-0;</text>
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              <elementText elementTextId="264968">
                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>FORTIFICATION OF LAUNDRY WATER WITH BACTERIA CAPABLE OF SODIUM DODECYL SULFATE (SDS) REMEDIATION AND PLANT GROWTH PROMOTION. A SUSTAINABLE WAY TO REUSE WATER FOR IRRIGATION</text>
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                <text>Journal of Microbiology, Biotechnology and Food Sciences;Volume;15;Issue;2;Article No.;e12414;</text>
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                <text>Koshy M., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Joseph B.V., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Anionic surfactant sodium dodecyl sulfate (SDS) is used in cosmetics and cleaning goods. It discharges into the environment and waterways due to its extensive use. Basal media with 0.05% SDS as the sole carbon source was used to isolate bacteria that can utilize SDS. The isolates survived nitrogen-free medium and solubilized potassium and phosphate. Using 16S rRNA sequencing, Enterobacter cloacae strain MSK86 (OR136425) was identified. Stains-all dye was used to test the bacteria's SDS-utilizing capability. A 49% drop in SDS levels in the broth was observed after 7 days of 24-hour analysis. The bacteria exhibited tolerance to heavy metals like Cd (II), Ar (III), and Zn (II) at concentrations up to 2000 ppm, whereas they were susceptible to Cu (II), Cr (II), and Pb (II) at minimum concentrations of 200, 600, and 1000 ppm, respectively. The bacteria effectively reduced SDS levels in the laundry wash water. The treated water was reused for the irrigation of Capsicum annum L. and Solanum lycopersicum L. until the 45th day of growth. The plants' morphological and phytochemical properties were also analyzed. The potential of bacteria for SDS degradation and plant growth enhancement has been extensively explored independently; however, these traits have not been studied together in a single bacterial strain. In the present study, multifaceted Enterobacter cloacae MSK86 was isolated with these capabilities together, which may help in SDS remediation, making the water reusable for irrigation.  (2025), (Slovak University of Agriculture). All Rights Reserved.</text>
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                <text>Kumar P., Lingaya's Vidyapeeth, AI/ML Lab, Centre of Excellence, Department of Computer Science and Engineering, Haryana, Faridabad, India; Sharma N., Lingaya's Vidyapeeth Deemed to be University, AI/ML Lab, Centre of Excellence, Department of Computer Science and Engineering, Haryana, Faridabad, India; Sabarmathi G., Christ University, School of Computer Science, Bangalore, India; Chinnaiyan R., Lingaya's Vidyapeeth, AI/ML Lab, Centre of Excellence, Department of Computer Science and Engineering, Haryana, Faridabad, India; Khanna V.K., Lingaya's Vidyapeeth, AI/ML Lab, Centre of Excellence, Department of Computer Science and Engineering, Haryana, Faridabad, India; Bushra S., School of Commerce &amp;amp; Management, Lingaya's, AI/ML Lab, Centre of Excellence, Haryana, Faridabad, India</text>
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                <text>Early identification of network vulnerabilities is now essential for protecting sensitive data and guaranteeing system resilience due to the increasing complexity of digital infrastructures. An extensive analysis of artificial intelligence (AI) models intended for the early identification of network vulnerabilities is presented in this research. The study examines current approaches, assesses their efficacy, and pinpoints research gaps while drawing on ideas from recent studies and cutting-edge academic research tools. The results show how AI has the ability to revolutionize cybersecurity tactics and point to new avenues for improving vulnerability detection systems.   2025 IEEE.</text>
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                <text>AI-driven cybersecurity; AI-powered threat intelligence; anomaly detection; federated learning; graph neural networks; hybrid AI models; network vulnerability detection; quantum computing; reinforcement learning; supervised learning; unsupervised learning</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>The COVID 19 pandemic has brought economic shock s all over the world. India is not an exception to this. The pandemic has made the lives of poor, and downtrodden people, micro, and small entrepreneurs miserable. Micro and small enterprises struggle to bounce back financially and to achieve financial health. Micro and small entrepreneurs face many problems such as no adequate income and savings, debt repayment, rising costs, lack of funds to run the business, financial and mental stress, uncertain future, and so on. Despite these problems, the micro and small enterprises move on steadily to achieve the goal of financial health. What makes them move on steadily? How do they manage their resources to achieve financial resilience? To seek answers to these questions, this study would like to examine the role of fortitude and sense of coherence in achieving financial resilience and financial health of micro and small entrepreneurs.  The Electrochemical Society</text>
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                <text>ECS Transactions, Vol-107, No. 1, pp. 405-420.</text>
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                <text>Institute of Physics</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130555342&amp;amp;doi=10.1149%2F10701.0405ecst&amp;amp;partnerID=40&amp;amp;md5=97b8d7d5758a54bf311cc7a625ab0226" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130555342&amp;amp;doi=10.1149%2f10701.0405ecst&amp;amp;partnerID=40&amp;amp;md5=97b8d7d5758a54bf311cc7a625ab0226&lt;/a&gt;</text>
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                <text>Ravikumar T., School of Business and Management, CHRIST (Deemed University), Karnataka, Bangalore, 560029, India; Mathew J., School of Business and Management, CHRIST (Deemed University), Karnataka, Bangalore, 560029, India; Aranha R.H., School of Business and Management, CHRIST (Deemed University), Karnataka, Bangalore, 560029, India</text>
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                <text>Fossil fuel derived GQD as a photosensitizer in dye-sensitized solar cells</text>
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              <elementText elementTextId="82994">
                <text>Fossil fuel; Nanoparticles; Sensitizer; Solar Energy Materials</text>
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                <text>Solar energy is an abundantly available renewable source, and several generations of photovoltaic cells have been developed for harnessing it. Dye-sensitized solar cells (DSSC) are viable and potent solar energy harvesters. Sensitizer, a vital part of DSSC, has been researched for years. Alternatively, fossil fuel-Lignite is one of the world's least explored energy sources. Unfortunately, it has been used as a fuel for power generation and tagged as a pollutant. Therefore, in this study, we use lignite-derived graphene quantum dots (GQD) as a DSSC sensitizer and attempt to add value. GQDs with varied bandgaps were obtained and used as sensitizers, and a maximum PCE of 2.87 % was obtained. Additionally, GQD sensitizers were exposed to UV light for 48 h, and the fabricated device exhibited 2.90 % efficiency, showing the photostability of GQDs. Furthermore, the device showed a higher Rrec of 166.57 ?, substantiating the better performance of DSSC. Thus, sensitizers derived from lignite showed a novel use for feedstock previously used for combustion.  2023 Elsevier B.V.</text>
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                <text>Rao A.A.; Narendhiran S.; Balachandran M.</text>
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                <text>Materials Letters, Vol-357</text>
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              <elementText elementTextId="82998">
                <text>Elsevier B.V.</text>
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                <text>In the present era, there are numerous consumer data sources, particularly through web services and terminals such as point of sales to better understand customers. More so, it has become challenging to gather and evaluate this vast amount of data manually. This chapter highlights the role of artificial intelligence (AI) in improving relationships with customers and explores the techniques used to analyze customers data in order to predict their demands and reach their satisfaction. The objective of this study was to empirically test the effect of AI on customer satisfaction of selected family-owned businesses listed in Nigeria, the most populous and one of the biggest economies in Africa. This implies that AI is a significant predictor of customer satisfaction. The study suggests that companies should employ AI solutions to improve operational efficiency. Through the implementation of AI, companies can optimize their operations, decrease expenses, and enhance their ability to adapt to market fluctuations and client needs.  2026 Timilehin Olasoji Olubiyi</text>
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                <text>A nation's strength is intricately linked to the education of its citizens, and the evolving landscape of higher education is evident in the changing role it plays. The National Education Policy (NEP) established on July 29, 2020, provides a framework that opens avenues for experiential learning, emphasizing hands-on experiences to complement theoretical knowledge. Keeping this in mind, this chapter introduces the Service-Learning Capstone Course Model designed to cultivate civic responsibility, empathy, and risk management while fostering the holistic growth of learners as responsible citizens in this century. The study demonstrates how the inclusion of a service-learning component in the syllabus can develop personal, professional, and academic growth in a learner through the knowledge gained.  2024, IGI Global. All rights reserved.</text>
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