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                <text>Sustainable chemistry centers on substituting perilous solvents and materials with eco-conscious alternatives. Deep eutectic solvents (DES) hold substantial potential in this arena. This inquiry includes the formulation of three-component eutectic solvents and an exhaustive scrutiny of their physical and chemical attributes. These encompass solubility, boiling point, pH, density, viscosity, surface tension, refractive index, contact angle, conductivity, Fourier-transform infrared spectroscopy, polarized optical microscopy, thermogravimetric analysis, and differential scanning calorimetry. Furthermore, a biological exploration featured two bacterial strains and two fungal strains. The entire spectrum of ten three-component DES was administered to these microorganisms to discern plausible impacts. In addition, the biomedical promise of these DES was unveiled through anticancer assays employing MCF-7 and HeLa cell lines. The outcomes were favorable, underscoring robust anticancer potency, thereby hinting at future oncological utility. These interdisciplinary endeavors envelop the progression of sustainable solvent innovation, meticulous physicochemical scrutiny, microbial analysis, and anticancer appraisal. This study propels inventive resolutions with ecological and biomedical reverberations by amalgamating these distinct yet interconnected facets.  2024 Indian Chemical Society</text>
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                <text>Kumar S L., Department of Chemistry, CHRIST University, Bengaluru, 560029, India; Puneeth V., Department of Mathematics, CHRIST University, Bengaluru, 560029, India; Tabassum S., Department of Chemistry, Surana College, Bengaluru, 560074, India; Govindaraju S., Department of Sciences and Humanities, CHRIST University, Bengaluru, 560074, India</text>
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                <text>Catalytic potential of fluorescein under visible light irradiation: Enabling single-pot open flask synthesis of novel pyrazolyl methanesulfonamides</text>
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                <text>This groundbreaking study introduces a novel and efficient method for synthesizing a range of substituted pyrazolyl methanesulfonamides through a five-component cyclocondensation reaction. This reaction incorporates five different components, such as ethyl acetoacetate, hydrazine, dimedone, benzaldehydes, substituted phenyl acetonitriles, and methyl sulfonyl chloride was made to react under visible light irradiation, with fluorescein serving as an effective catalyst and ethanol as solvent for 30 mintues. This method offers significant advantages, including simplified handling, higher yields of target products with shorter reaction times, and easier purification processes. We successfully synthesized around 15 novel pyrazolyl methanesulfonamide derivatives with high efficiency. Comprehensive spectral characterization confirmed the structural integrity and purity of these derivatives, demonstrating the robustness and versatility of this approach. Facilitated by visible light and utilizing fluorescein as a bio-friendly catalyst, this methodology is both green and sustainable. This innovative approach not only streamlines the synthesis of pyrazolyl methanesulfonamides but also holds considerable promise for advancing research and applications in fields such as medicinal chemistry and materials science.  2024 The Author(s)</text>
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                <text>Journal of Organometallic Chemistry, Vol-1025</text>
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                <text>Kumar S L., Department of Chemistry, Christ University, Bengaluru, 570029, India; Ramaraj S.G., Department of Bioengineering, of Engineering, The University of Tokyo, 7-3-1 Hongo, Japan, Department of Materials Physics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMTS), Thandalam, Tamilnadu, Chennai, 602105, India; Tabassum S., Department of Chemistry, Surana College - Autonomous, South End Road, Bengaluru, Basavanagudi, 560004, India; Chundattu S.J., Department of Sciences and Humanities, Christ University, Bengaluru, 570074, India; Govindaraju S., Department of Sciences and Humanities, Christ University, Bengaluru, 570074, India</text>
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                <text>Elevating pyrrole derivative synthesis: a three-component revolution</text>
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                <text>Pyrrole is an essential chemical with considerable relevance as a pharmaceutical framework for many biologically necessary medications. The growing demand for biologically active compounds calls for a simple one-pot method for generating novel pyrrole derivatives. Nots surprisingly, several multicomponent reactions (MCRs) aim to synthesize pyrrole derivatives. However, this review presents the three-component synthesis of pyrrole derivatives, highlighting the significance of multicomponent reaction in synthesizing eclectic multi-functionalised pyrrole covering the selected literature on the three-component synthesis of substituted pyrrole from 2016 to late 2023. Furthermore, this article classifies the reactions based on the starting material with functional groups involved in the pyrrole ring formation. Graphical Abstract: (Figure presented.)  The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.</text>
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                <text>Kumar S L., Department of Chemistry, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560029, India; Servesh A., Department of Chemistry, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560029, India; Chundattu S.J., Department of Sciences &amp;amp; amp; Humanities, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560074, India; Tabassum S., Department of Chemistry, Surana College, Karnataka, Bengaluru, 560074, India; Govindaraju S., Department of Sciences &amp;amp; amp; Humanities, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560074, India</text>
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                <text>Catalytic potential of fluorescein under visible light irradiation: Enabling single-pot open flask synthesis of novel pyrazolyl methanesulfonamides</text>
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                <text>Kumar S L., Department of Chemistry, Christ University, Bengaluru, 570029, India; Ramaraj S.G., Department of Bioengineering, of Engineering, The University of Tokyo, 7-3-1 Hongo, Japan, Department of Materials Physics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMTS), Thandalam, Tamilnadu, Chennai, 602105, India; Tabassum S., Department of Chemistry, Surana College - Autonomous, South End Road, Bengaluru, Basavanagudi, 560004, India; Chundattu S.J., Department of Sciences and Humanities, Christ University, Bengaluru, 570074, India; Govindaraju S., Department of Sciences and Humanities, Christ University, Bengaluru, 570074, India</text>
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                <text>This groundbreaking study introduces a novel and efficient method for synthesizing a range of substituted pyrazolyl methanesulfonamides through a five-component cyclocondensation reaction. This reaction incorporates five different components, such as ethyl acetoacetate, hydrazine, dimedone, benzaldehydes, substituted phenyl acetonitriles, and methyl sulfonyl chloride was made to react under visible light irradiation, with fluorescein serving as an effective catalyst and ethanol as solvent for 30 mintues. This method offers significant advantages, including simplified handling, higher yields of target products with shorter reaction times, and easier purification processes. We successfully synthesized around 15 novel pyrazolyl methanesulfonamide derivatives with high efficiency. Comprehensive spectral characterization confirmed the structural integrity and purity of these derivatives, demonstrating the robustness and versatility of this approach. Facilitated by visible light and utilizing fluorescein as a bio-friendly catalyst, this methodology is both green and sustainable. This innovative approach not only streamlines the synthesis of pyrazolyl methanesulfonamides but also holds considerable promise for advancing research and applications in fields such as medicinal chemistry and materials science.  2024 The Author(s)</text>
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                <text>Kumar S L., Department of Chemistry, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560029, India; Servesh A., Department of Chemistry, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560029, India; Chundattu S.J., Department of Sciences &amp;amp; Humanities, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560074, India; Tabassum S., Department of Chemistry, Surana College, Karnataka, Bengaluru, 560074, India; Govindaraju S., Department of Sciences &amp;amp; Humanities, CHRIST - Deemed to Be University, Karnataka, Bengaluru, 560074, India</text>
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                <text>Pyrrole is an essential chemical with considerable relevance as a pharmaceutical framework for many biologically necessary medications. The growing demand for biologically active compounds calls for a simple one-pot method for generating novel pyrrole derivatives. Nots surprisingly, several multicomponent reactions (MCRs) aim to synthesize pyrrole derivatives. However, this review presents the three-component synthesis of pyrrole derivatives, highlighting the significance of multicomponent reaction in synthesizing eclectic multi-functionalised pyrrole covering the selected literature on the three-component synthesis of substituted pyrrole from 2016 to late 2023. Furthermore, this article classifies the reactions based on the starting material with functional groups involved in the pyrrole ring formation.  The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.</text>
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                <text>As majority of the present day consumers are considering brands as an important element in their choice of decision making while purchasing, it is pertinent that sellers should capitalize on the type of brands they are offering to consumers. Both private labels and global brands have their own advantages and disadvantages over each other mainly in terms of pricing and quality factors. However, the main motive the consumers are looking forward is to buy a product which would effectively satisfy their requirements. If they find a product which satisfies their needs effectively, they buy it irrespective of whether it is a private label or a global brand. Even the price of the product may not be a major factor in such a case. This study focused on the preference and intention among consumers towards buying of private label products, especially retail apparel products. This study examined the causal relationships between six antecedents of customer perceived preference identified in this study as fashion consciousness, attitude, store image, price, quality, and store loyalty with regard to the purchase intention of private label brand apparels. The model was evaluated using data collected from 292 customers from different malls in Bangalore in 2016-17. The findings revealed that customers attitude played a significant role in their purchase behaviour towards private label brand apparels.  2019, Associated Management Consultants Pvt. Ltd. All Rights Reserved.</text>
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                <text>Kumar S. H., Faculty of Management Studies, CMS Business School, Jain University, India; Nilkant D., CMS Business School, Jain University, Bangalore, India; Gayathri K.R., Faculty of Management Studies, CMS Business School, Jain University, India; Subramanya Iyer K.N.A., CMS Business School, Jain University, Bangalore, India; Kiran P., School of Business and Management, CHRIST Deemed to be University, Bangalore, India</text>
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                <text>Kumar S., Department of Computer Science and Engineering Christ (Deemed to be University, Bengaluru, India; Balachandran K., Department of Computer Science and Engineering Christ (Deemed to be University, Bengaluru, India; Kim J.H., School of Civil, Environmental and Architectural Engineering, Anam-ro Anam-dong Korea University, Seoul, South Korea; Bansal J.C., South Asian University, Delhi, New Delhi, India</text>
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                <text>Background: Food Insecurity (FI) is a crucial social determinant of health, independent of other socioeconomic factors, as inadequate food resources create a threat to physical and mental health especially among older person. The present study explores the associations between FI and cognitive ability among the aged population in India. Methods: To measure the cognitive functioning we have used two proxies, word recall and computational problem. Descriptive analysis and multivariable logistic regression was used to understand the prevalence of word recall and computational problem by food security and some selected sociodemographic parameters. All the results were reported at 95% confidence interval. Results: We have used the data from the first wave of longitudinal ageing study of India (LASI), with a sample of 31,464 older persons 60 years and above. The study identified that 17 and 5% of the older population in India experiencing computational and word recall problem, respectively. It was found that respondents from food secure households were 14% less likely to have word recall problems [AOR:0.86, 95% CI:0.310.98], and 55% likely to have computational problems [AOR:0.45, 95% CI:0.290.70]. We also found poor cognitive functioning among those experiencing disability, severe ADL, and IADL. Further, factors such as age, education, marital status, working status, health related factors were the major contributors to the cognitive functioning in older adults. Conclusion: This study suggest that food insecurity is associated with a lower level of cognition among the elderly in India, which highlight the need of food policy and interventional strategies to address food insecurity, especially among the individuals belonging to lower wealth quintiles. Furthermore, increasing the coverage of food distribution may also help to decrease the burden of disease for the at most risk population. Also, there is a need for specific programs and policies that improve the availability of nutritious food among elderly.  2021, The Author(s).</text>
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                <text>Kumar S.; Bansal A.; Shri N.; Nath N.J.; Dosaya D.</text>
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                <text>BMC Geriatrics, Vol-21, No. 1</text>
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 14712318; PubMed ID: 34922495</text>
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                <text>Kumar S., International Institute for Population Sciences, Govandi East, Mumbai, 400088, India; Bansal A., International Institute for Population Sciences, Govandi East, Mumbai, 400088, India; Shri N., International Institute for Population Sciences, Govandi East, Mumbai, 400088, India; Nath N.J., CHRIST (Deemed-to-be-University), Central Campus, Bengaluru, India; Dosaya D., Birla Institute of Technology and Science, Pilani, India</text>
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                <text>Skin cancer classification using machine learning for dermoscopy image</text>
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                <text>Gray Level Co-occurrence Matrix (GLCM); K -Nearest Neighbour (KNN); Median Filter; Support Vector Machine (SVM); Thresholding; Weiner Filter</text>
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                <text>Skin cancer is highly ambiguous and difficult to identify and cure in the last stage. To increase the survival rate, it is important to recognize the stages of skin cancer for effective treatment. The main aim of the paper is to classify the various stages of skin cancer using dermoscopy images from the data repository of ISIC and PH2. The data is pre -processed with the help of median filter and wiener filter for removing the noise. Segmentation is processed using Watershed and Morphological. After the segmentation, features were extracted using Grey Level Co-occurrence Matrix (GLCM), Color, Geometrical shapes in order to improve the accuracy of dermoscopy image. Finally, the dataset is classified with some popular methods like KNN with 89%, Ensemble with 84% and SVM works better than the other two methods by giving the highest accuracy of 92%.  BEIESP.</text>
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                <text>Kumar S.; Chandra J.</text>
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                <text>International Journal of Innovative Technology and Exploring Engineering, Vol-8, No. 7, pp. 1456-1462.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067876244&amp;amp;partnerID=40&amp;amp;md5=d046ce210431980e588992195568f383" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067876244&amp;amp;partnerID=40&amp;amp;md5=d046ce210431980e588992195568f383&lt;/a&gt;</text>
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                <text>ISSN: 22783075</text>
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                <text>Kumar S., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, India; Chandra J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, Karnataka, India</text>
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                <text>Recent Advances in Analytical Techniques for Antidepressants Determination in Complex Biological Matrices: A Review</text>
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                <text>analytical; antidepressant; biological matrices; chromatography; determination</text>
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                <text>Depression is one of the most prevalent but severe of mental disorders, affecting thousands of individuals across the globe. Depression, in its most extreme form, may result in self-harm and an increased likelihood of suicide. Antidepressant drugs are first-line medications to treat mental disorders. Unfortunately, these medications are also prescribed for other in- and off-label conditions, such as deficit/hyperactivity disorders, attention disorders, migraine, smoking cessation, eating disorders, fibromyalgia, pain, and insomnia. This results in an increase in the use of antidepressant medications, leading to clinical and forensic overdose cases that could be either accidental or deliberate. The findings revealed that people who used antidepressants had a 33% greater chance of dying sooner than expected, compared to those who did not take the medications. Analytical techniques for precisely identifying and detecting antidepressants and their metabolic products in a variety of biological matrices are greatly needed to be developed and made available. Hence, this study attempts to discuss various analytical techniques used to identify and determine antidepressants in various biological matrices, which include urine, blood, oral fluid (saliva), and tissues, which are commonly encountered in clinical and forensic science laboratories.  The Author(s) 2023.</text>
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                <text>Kumar S.; Darshan S.; Baggi T.R.</text>
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                <text>International Journal of Toxicology, Vol-42, No. 4, pp. 352-364.</text>
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                <text>&lt;a href="https://doi.org/10.1177/10915818221150779" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/10915818221150779&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146626681&amp;amp;doi=10.1177%2F10915818221150779&amp;amp;partnerID=40&amp;amp;md5=5243cfd15f15404064500477e52444ad" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146626681&amp;amp;doi=10.1177%2f10915818221150779&amp;amp;partnerID=40&amp;amp;md5=5243cfd15f15404064500477e52444ad&lt;/a&gt;</text>
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                <text>ISSN: 10915818; PubMed ID: 36630687; CODEN: IJTOF</text>
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                <text>Kumar S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Darshan S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Baggi T.R., Central Forensic Science Laboratory, Ministry of Home Affairs, Govt. of India, Ramanthapur, Hyderabad, India, University College of Science, Osmania University, Hyderabad, India</text>
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