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                <text>Evaluating the effect of different ligands on the supercapacitance and hydrogen evolution reaction studies of Zn-Co MOF</text>
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                <text>2,5-Dihydroxybenzoic acid; Benzene-1,2,4,5-tetracarboxylic acid; Hydrogen evolution reaction; Supercapacitor; Zn-Co MOF</text>
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                <text>Metal-Organic Frameworks (MOFs) have recently attracted a lot of interest because of their potential uses in energy storage and catalysis. In this study, we investigate the impact of various ligands on the electrochemical performance of Zn-Co MOFs for both energy storage and hydrogen evolution reaction (HER) studies. Specifically, Zn-Co MOFs are synthesized using different ligands, and their structural and electrochemical properties are characterized by a range of analytical techniques. 2,5-dihydroxybenzoic acid (DBA) and benzene-1,2,4,5-tetracarboxylic acid (BTC) are employed due to their distinct structural features and potential effects on MOF performance. Subsequently, electrochemical studies are conducted to assess the supercapattery performance and HER activity of these MOFs. The specific capacitance and overpotential value at 10 mA/cm2 of Zn-Co/DBA MOF is observed to be 1775.3 F/g and 186 mV, whereas that of Zn-Co/BTC MOF is found to be 136.6 F/g and 279 mV. The MOF synthesis using DBA as a ligand is more effective for energy-related applications. This study aims to report a multifunctional MOF composite for energy and environmental applications with better efficiency than other reported systems. Our findings provide insights into how the choice of ligand influences the structural properties and electrochemical behavior of Zn-Co MOFs, shedding light on the potential of these MOFs as versatile materials for energy storage and HER applications.  2024 Elsevier B.V.</text>
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                <text>Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol-703</text>
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                <text>Daniel N.K., Department of Sciences and Humanities, Christ University, Karnataka, Bangalore, 560029, India, Department of Chemistry, National Institute of Technology-Tiruchirappalli, Tamil Nadu, Tiruchirappalli, 620015, India; Varghese A., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Sunaja Devi K.R., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Chundattu S.J., Department of Sciences and Humanities, Christ University, Karnataka, Bangalore, 560029, India; Sreekanth A., Department of Chemistry, National Institute of Technology-Tiruchirappalli, Tamil Nadu, Tiruchirappalli, 620015, India</text>
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                <text>Evaluating the Effectiveness of a Facial Recognition-Based Attendance Management System in a Real-World Setting</text>
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                <text>Accuracy; API cognitive services; Face Recognition; Haar Cascade; LBPH; MLP; Mobile Application</text>
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                <text>Face recognition technology has been extensively used in multiple verticals of security, surveillance, and human-computer interaction. Conventional techniques including manual sign-ins, identity cards, or biometric verification have been used by traditional attendance systems. Face recognition systems have, however, become a popular way to track attendance, thanks to developments in computer vision and machine learning. The construction of an attendance registration application is the main topic of this research study, which also offers a thorough overview of facial recognition attendance systems. This study seeks to provide light on the benefits, drawbacks, and potential applications of these fast-developing technologies. Face recognition technology may be integrated into attendance systems to increase productivity, accuracy, and user comfort. However, issues like privacy worries and technological constraints must be resolved. With predicted future improvements in machine learning algorithms and hardware capabilities, face recognition attendance systems look to have a bright future. This research article adds to a deeper understanding and successful application of facial recognition technology in attendance systems by examining these features.  2023 IEEE.</text>
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                <text>Nijgal D.R.; George S.; Subramanian P.</text>
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                <text>2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023</text>
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                <text>Nijgal D.R., Christ University, Dept. of Computer Science, Bangalore, India; George S., Christ University, Dept. of Data Science, Bangalore, India; Subramanian P., Christ University, Dept. of Computer Science, Bangalore, India</text>
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                <text>Rappai, Sherin; Ramasamy, Gobi; Rohini, V.; Bagula, Antonie</text>
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                <text>Evaluating the Effectiveness of GraphSAGE with Reinforcement Learning in Suicide Risk Prediction</text>
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                <text>Studies in Systems, Decision and Control;Volume;645;pp.465-476</text>
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                <text>Rappai S., Department of Computer Science, Kristu Jayanti College, Autonomous, Karnataka, Bengaluru, India; Ramasamy G., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Rohini V., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Bagula A., Department of Computer Science, University of Western Cape, Cape Town, South Africa</text>
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                <text>Suicide is considered to be a major mental health issue that has affected most individuals worldwide. According to World Health Organization, it shows the rise of suicidal rates among students has increased drastically. This vulnerability shows the rising need to encounter this issue with immediate effect. Therefore, proper detection methods have to be incorporated so that we can reduce the number of suicidal rates. Many computational models were implemented to address this issue. This study was conducted to compare various algorithms such as traditional machine learning models random forest and also various deep learning models like GraphSAGE, Graph Convolutional Network, Convolutional Neural Network, and Convolutional Neural Network with Long Short Term Memory with the proposed GraphSAGE Reinforcement Learning.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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                <text>Adolescents; CNN; CNN-LSTM; Graph Convolutional Neural Network; GraphSAGE; Random Forest; Reinforcement learning; Suicide ideation</text>
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                <text>Retos;Volume;65;pp.1184-1192</text>
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                <text>&lt;a href="https://doi.org/10.47197/retos.v65.111674" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.47197/retos.v65.111674&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105003922701?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105003922701?origin=resultslist&lt;/a&gt;</text>
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                <text>Mpt V.K., Apollo college of physiotherapy, Chittoor, India; Amarnath R., Apollo institute of medical sciences, Chittoor, India; Jaha G.N., Apollo college of physiotherapy, Chittoor, India; Praveen, Chhatrapatishahu Ji Maharaj University, Kanpur(India); Rangaswam R., Christ University, Bangalore, India; Sinha A., Manipal University, Jaipur, India</text>
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                <text>Introduction: the importance of post-injury rehabilitation for teenage athletes demands innovative methods because traditional practices fail to sustain student athlete participation. VR-based rehabilitation creates interactive recovery programs which might advance physical healing together with mental drive. Objective: the research investigates how well VR-based rehabilitation works against traditional approaches for both physical healing and psychological involvement in adolescent athletes. Methodology: sixty adolescent athletes (aged 1318) received their rehabilitation through random assignment into two groups: one involved traditional approaches while the other received VR-based rehabilitation. The research measured recovery outcomes at three time points: baseline, 4 weeks and 8 weeks. The measured outcomes included range of motion (ROM), muscle strength, return to sport (RTS) time and pain perception. The VR group members shared their experiences through semi-structured interview methods. Results: the subjects in the VR group achieved greater improvements in ROM (p = 0.02) and muscle strength (p = 0.03) and RTS time (p = 0.01). People who used VR reported stronger motivation and engagement although these benefits brought increased worry about re-injuring their knee. Subject participants achieved better results in their rehabilitation by using immersive VR interventions. Conclusions: virtual reality-based rehabilitation enables adolescent athletes to restore physical well-being as well as emotional well-being. The interactive features of this approach improve patient commitment which accelerates their recovery time. Future investigations need to analyze extended advantages and expanded medical applications within sports medicine.  2025 Federacion Espanola de Docentes de Educacion Fisica. All rights reserved.</text>
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                <text>Adolescent athletes; Mixed-methods; Post-injury recovery; Sports medicine; Virtual reality rehabilitation</text>
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                <text>Federacion Espanola de Docentes de Educacion Fisica</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Mathew, Elma Elizaba; Balachandran, Manoj</text>
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                <text>Evaluating the electrochemical performance of single and multiple heteroatom doped carbon black from waste tires for supercapacitor application</text>
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                <text>Journal of Power Sources;Volume;659;Issue;;Article No.;238437;</text>
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                <text>Mathew E.E., Department of Physics &amp;amp; Electronics, Christ (Deemed to be University), Bangalore, 560029, India; Balachandran M., Department of Physics &amp;amp; Electronics, Christ (Deemed to be University), Bangalore, 560029, India</text>
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                <text>With the growing emphasis laid on the research related to energy storage systems, the need for cost-effective and efficient materials is quintessential. The present work reports a comprehensive study and a promising strategy to enhance the electrochemical behaviour of Carbon Black derived from waste tires by the incorporation of heteroatoms such as Nitrogen and Sulfur into the system. The study investigates the electrochemical performance of Carbon Black with single doping, and further examines the enhanced performance with co-doping. While the Nitrogen-doped Carbon Black exhibits a specific capacitance of 97.63F/g, the Sulfur doped Carbon Black exhibits 141.8F/g and the co-doped Carbon Black exhibits an enhanced specific capacitance of 233F/g at a current density of 1 A/g in the two-electrode system. A significant improvement in the specific surface area is achieved in the materials with post-doping techniques. Furthermore, the co-doped Carbon Black provides superior electrochemical behaviour with sustained energy density of 30Wh/kg even at a higher power density of 5.6kW/kg with an improved cyclic stability of 91% over 5000 cycles. Thus, effective valorization of Carbon Black recovered from waste tires enables the development of efficient and affordable electrode material for the fabrication of supercapacitors.  2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.</text>
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                <text>Carbon black; Co-doping; Energy density; Heteroatoms; Supercapacitors; Valorization</text>
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                <text>Elsevier B.V.</text>
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              <elementText elementTextId="208381">
                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>EVALUATING THE ELEMENTS IN THE RECREATIONAL SPACE OF AN INSTITUTION</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="176728">
                <text>Institution Design; Open Space; Recreational Space; Student Life</text>
              </elementText>
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          <element elementId="41">
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            <description>An account of the resource</description>
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                <text>The concept of 'Recreation' justifies the human need for satisfaction, leisure, and a state of pleasure. The elements involved in a recreational space impact the activities of the user in that space. Recreational spaces act as the in-between sojourns for formal pedagogy or andragogy. Spaces of recreation are essential, especially in educational institutions, where students spend most of their time. Public, semi-public, and private spaces are all included in the institutional design, with a large percentage used by students. Open public spaces, including recreational places, are measured in terms of their physical characteristics and connections to nature. The components of a recreational area influence the activities that users engage in there. This paper seeks to list and assess the many components that are present in a recreational space. This study will evaluate those elements and their types. Informal outdoor areas or other breakout areas promote interaction and provide the students with refreshments and leisure. The focus of this paper is to draw out the quality of leisure space synonymous with a productive environment for the student, where they feel rejuvenated. Five recreational spaces of CHRIST University were studied, and the elements that combine to form this place were also observed. A survey among the students who are frequent users of these spaces was conducted, and their responses were evaluated. The elements that majorly help students go to a place were assessed, and the element's significant role was concluded. The result of this study to design professionals is to understand the need to incorporate recreational spaces while designing an educational institution and design a student-oriented space.  ZEMCH Network.</text>
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                <text>Abinaya J.; Iyer E.; Badrudeen A.; Mathew N.S.</text>
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                <text>ZEMCH International Conference, pp. 483-489.</text>
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                <text>ZEMCH Network</text>
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                <text>ISSN: 26522926; ISBN: 978-819607462-3</text>
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                <text>Abinaya J., Christ University, Bangalore, India; Iyer E., Christ University, Bangalore, India; Badrudeen A., School of Architecture, Christ University, India; Mathew N.S., Department of Psychology, Christ University, India</text>
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            <description>A name given to the resource</description>
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                <text>Commerce</text>
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                <text>Karishiddimath, Abhishek; Moharkonda, Priyadarshini</text>
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                <text>Karishiddimath A., Department of Psychology, Christ (Deemed-to-be) University, Bengaluru, India; Moharkonda P., Department of Psychology, Christ (Deemed-to-be) University, Bengaluru, India</text>
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                <text>Contemporary health research underscores the importance of comprehensive well-being, particularly within occupational environments that profoundly shape individual health experiences. The Micro, Small, and Medium Enterprises (MSME) sector represents a complex workplace ecosystem characterized by multifaceted challenges that potentially compromise worker welfare. In the northeastern Indian State of Assam, MSME sector workers represent a vulnerable population that experiences distinctive professional and personal stressors. This research aims to investigate an intervention that integrates holistic well-being strategies, specifically combining traditional Indian yoga practices with Western relaxation methodologies. The proposed approach seeks to address workers physical, psychological, and social dimensions of health within the challenging MSME sector context of Assam, India. The study is a single-group feasibility trial with pre, post- and follow-up assessments to assess the impact of the well-being intervention. A sample of 35 MSME workers from Assam, India (n=35), participated in a 3-week intervention program. Baseline, postintervention, and follow-up assessments after 3 weeks of physical, psychological, and social well-being were obtained via standardized scales. To analyze the quantitative data, repeated-measures ANOVA (RMANOVA) was performed within the intervention completing participants to evaluate the interventions effect. Two-tailed tests of significance were performed. The findings of the study indicated that the intervention led to significant improvements in physical, psychological, and social well-being, with effects being sustained and further enhanced at follow-up. Repeated-measures ANOVA with GreenhouseGeisser corrections revealed significant time effects for general health (r)' = .567), musculoskeletal pain (r)' = .825), perceived social support (r)' = .678), and mental well-being (r)' = .726), all p &amp;lt;. 001. The participants reported reduced general health concerns, decreased musculoskeletal pain, and increased perceived social support and mental well-being from preintervention to postintervention and follow-up. The study offers empirically grounded insights into the potential transformative effect of integrated multidimensional well-being intervention. Copyright  2023 DOI Foundation. The content of this site is licensed under a Creative Commons Attribution 4.0 International License.</text>
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                <text>The educator training approach known as microteaching, which is used now all over the world, offers teachers the chance to sharpen their teaching abilities by enhancing the many straightforward activities referred to as teaching skills. Microteaching supports the growth of in-person teaching experiences thanks to its success with both beginners and older students. The fundamental abilities of microteaching, such as exposition and reinforcing abilities, aid new instructors in mastering the craft of instruction with ease and to the fullest. This method's effects have been widely observed in a variety of educational settings, including the biological sciences, health sciences, and other fields. The chapter reflects upon the basic concepts of microteaching, microlearning, and micro lessons. The study discusses the fundamental teaching techniques, implementation issues, and the effects of microlearning on education. The study also throws light on the impact and advances of technology on microlearning in the context of the digital age.  2024, IGI Global.</text>
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                <text>Pradhan A., Department of Civil Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Teena Sojan V.V., Department of Civil Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Sankalp S., Gandhi Institute for Education and Technology, Department of Civil, Odisha, Khurda, India; Uppaluri S., Department of Civil Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Mani S.K., Department of Civil Engineering, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Sahoo K.K., School of Civil Engineering, Kalinga Institute of Industrial Technology Deemed to Be University, Bhubaneswar, India</text>
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                <text>The ground surface changes from undisturbed soils with a natural plant covering to disturbed soils as urbanisation and population pressure increase, amplifying the rapid expansion of impervious surfaces in cities. Without adequate stormwater controls, these impervious surfaces alter the hydrologic cycle by lowering infiltration rates and raising runoff peak flows and volumes. Bengaluru city experiences a more temperate climate throughout the year, and the heavy destruction caused by rains is Indias IT hub. Numerous drains get submerged and saturated after only two days of excessive rain, symbolizing the necessity of harvesting techniques in collecting rainwater and reducing runoff volume. Built-up area dynamics were observed from supervised classification and rainfall data collected from the IMD. Annual collectable rainwater was calculated considering the different cumulative rainfall frequencies, i.e. (25/50/75) %. The overall volume of containers was calculated considering different return periods of (5/10/20) years along with (10/20/30) minute rainfall duration. A 45.7% and 25.8% runoff volume reduction (%) was seen in the study area by considering two cases of maximum daily rainfall and maximum average monthly precipitation, respectively. The calculations indicated a significant capacity for collecting rainwater from impervious surfaces is achievable.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.</text>
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                <text>Anitha Kumari, D.; Purohit, Tanushri; Venkareddy, Chitkala; Giri, Pratibha; Gayathri, R.; Babu, M. Dinesh</text>
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                <text>Evaluating the Impact of Remote Work Benefits on Employee Performance and Retention in IT Companies</text>
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                <text>Proceedings of the 2025 3rd International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2025;pp.830-834</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICAICCIT68829.2025.11434436" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICAICCIT68829.2025.11434436&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105036181949?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105036181949?origin=resultslist&lt;/a&gt;</text>
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                <text>Anitha Kumari D., Vels Institute of Science, Technology and Advanced Studies, Department of Management Studies, Chennai, India; Purohit T., SGT University, Faculty of Commerce &amp;amp; Management, Gurgaon, India; Venkareddy C., Central University of Karnataka, Department of Social Work, Karnataka, India; Giri P., Christ University, School of Business and Management, Bengaluru, India; Gayathri R., JSPM's Bhavarabai Sawant Institute of Technology and Research, Department of Electronics and Telecommunication Engineering, Pune, India; Babu M.D., Rajalakshmi Institute of Technology, Department of Mechanical Engineering, Chennai, India</text>
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                <text>The COVID-19 pandemic and other global events that changed the way people work have made remote work more common, especially in IT companies. More and more businesses are using remote employee benefits (REB) to keep good workers, boost productivity, and make people happier at work. Wellness programs, technology allowances, and the option to work flexible hours are all part of this group of benefits. There isn't much real-world proof of how certain REBs affect employee outcomes in IT companies, such as performance, engagement, and turnover rates, even though they are widely used. This study uses a combination of MultiCriteria Decision-Making (MCDM) and other methods to find out how a number of REB affect things. To be more specific, the Analytic Hierarchy Process (AHP) and Fuzzy Logic are used together. The survey had 250 workers from five different multinational information technology companies. The hybrid AHP-Fuzzy model found that the best things for employees to do their jobs better and stay with the company the longest were flexible work hours (0.35), mental health support (0.27), and remote infrastructure allowances (0.21). In comparison, traditional benefits like travel allowances and perks for physical workspaces didn't have as big of an effect. The proposed method was much better than the standard Likert scale and linear regression analysis at giving results that were both accurate and easy to understand.  2025 IEEE.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>Evaluating the performance of Cr-Soc-MOF Super-Adsorbents for CO2 capture from flue gas under humid condition through molecular simulation</text>
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                <text>Breakthrough; CO&lt;sub&gt;2&lt;/sub&gt; Capture; DFT; Flue gas; GCMC; Metal Organic Framework</text>
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              <elementText elementTextId="106032">
                <text>One of the major criticisms for gas separation by utilizing Metal Organic Framework (MOF) porous material for all classes of adsorbents is their very poor performance under humidified gas streams. Very few MOFs show better CO2 separation from N2 mixture in the presence of moisture. Conversely, plenty of MOFs demonstrated good CO2 capture from dry gas streams. In order to explore the potential characteristics of gas separation under humid conditions by coordinatively unsaturated metal organic framework (CUS-MOF) with square octahedral (Soc) topology were exercised single component (CO2, N2) adsorption and co-adsorption (CO2/N2) in the presence of moisture at 298 K with pressure ranging from 0 to 10 bar. Herein, we investigated five exceptional Cr-Soc-MOFs similar to the experimentally established iso-structural topology by differing the polynuclear aromatic ring size and N-heteroatom to their pore wall. The specific interaction of guest molecules to the coordinatively unsaturated metal site (CUS), i.e., rigid ?3-oxygen-centered tri-nuclear metal carboxylate, of Cr-Soc-MOF-n series were identified with Density Functional Theory (DFT) calculations, this energy profile was used to derive specific force field. Further, Grand canonical Monte Carlo (GCMC) simulation was employed with DFT-derived force field to identify suitable CO2 capture for Cr-Soc-MOFs in the presence of moisture. Interestingly, the Cr-Soc-MOFs with larger pore volume were retained not only CO2 uptake in the range of 23  35 wt% but also selectivity about 20  50 range even up to 70% of RH. Importantly, we introduced a mathematical tool to theoretically analyze the dynamic co-adsorption in the form of breakthrough curve measurement from CO2/N2 simulated co-adsorption by mimicking the real flue gas condition, also working capacity (?N), Regenerability (R%) and Adsorbent Performance Indicator (API) of Cr-Soc-MOF-n series were investigated. The CO2 separation performances of Cr-Soc-MOF-n series suggested that the polynuclear aromatic ring to their pore wall withstand CO2 uptake in the presence of humidity rather than N-heteroatom decorated Cr-Soc-MOF due to its high pore volume and the accommodation of extra aromatic ring in their pore channels.  2022 Elsevier B.V.</text>
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                <text>Palakkal A.S.; Pillai R.S.</text>
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                <text>Separation and Purification Technology, Vol-295</text>
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              <elementText elementTextId="106035">
                <text>Elsevier B.V.</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.seppur.2022.121298" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.seppur.2022.121298&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130612972&amp;amp;doi=10.1016%2Fj.seppur.2022.121298&amp;amp;partnerID=40&amp;amp;md5=4e85682e927427627d39fedc5905b190" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130612972&amp;amp;doi=10.1016%2fj.seppur.2022.121298&amp;amp;partnerID=40&amp;amp;md5=4e85682e927427627d39fedc5905b190&lt;/a&gt;</text>
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                <text>Restricted Access</text>
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                <text>ISSN: 13835866; CODEN: SPUTF</text>
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                <text>Palakkal A.S., Department of Chemistry, School of Basic Sciences, SRM Institute of Science and Technology, Kattankulathur, Chennai, 603 203, India; Pillai R.S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560 029, India</text>
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              <name>Title</name>
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      <name>Article</name>
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              <elementText elementTextId="123945">
                <text>Evaluating the performance of indian banks: Eagles model approach</text>
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            <description>An account of the resource</description>
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                <text>Sound financial health of a bank is the guarantee not only to its depositors but is also equally significant for the shareholders, employees and whole economy as well. Various steps and policies have been made from time to time, to measure the financial position of each bank and manage it efficiently and effectively. The introduction of new banking policies and technological advances put banks into more complex and risky situations. CAMEL model is widely used tool for measuring the efficiency and performance of banks which has been proved to be outdated. EAGLES model is a proper tool to measure the financial performance as well as the soundness of banks in a more determinate, objective and consistent manner, as the banks are being analyzed on the output ratios. The present study aimed at finding out the financial performance and soundness of selected Indian commercial banks, analyzing six major parameters which are key success factors of every bank today.  Indian Institute of Finance.</text>
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                <text>Suresh G.; Arun Krishnan P.</text>
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              <elementText elementTextId="123948">
                <text>Finance India, Vol-34, No. 3, pp. 999-1024.</text>
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              <elementText elementTextId="123949">
                <text>Indian Institute of Finance</text>
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                <text>2020-01-01</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098537133&amp;amp;partnerID=40&amp;amp;md5=4372b83b2b17fd595ad47fe518dacba5" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098537133&amp;amp;partnerID=40&amp;amp;md5=4372b83b2b17fd595ad47fe518dacba5&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="123952">
                <text>Restricted Access</text>
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                <text>ISSN: 9703772</text>
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                <text>Online</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="123955">
                <text>English</text>
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          </element>
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                <text>Suresh G., CHRIST (Deemed to be University), Department of Commerce, Hosur Rd, Bhavani Nagar, S.G. Palya, Bengaluru, 560029, Karnataka, India; Arun Krishnan P., CHRIST (Deemed to be University), The School of Business and Management, Hosur Rd, Bhavani Nagar, S.G. Palya, Bengaluru, 560029, Karnataka, India</text>
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      <description>Faculty Publications -Articles</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="130215">
                <text>Evaluating the performance of machine learning using feature selection methods on dengue dataset</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="130216">
                <text>Artificial neural network; Dengue disease; Logistic regression; Neural network; Neural network with 10-fold; R; Random forest; Support vector machine</text>
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            <description>An account of the resource</description>
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                <text>Dengue fever is a mosquito-borne disease transmitted by the bite of an Aedes mosquito infected with a dengue virus. The bites of an infected female Aedes mosquito which gets the virus while feeding on the infected persons blood, transmits the virus to others. Dengue transmission is climate sensitive for several reasons such as temperature, humidity, rainfall, etc. Areas having higher vapor pressure and rainfall rate are most vulnerable to the spreading of the dengue disease. So to find the important features responsible for spreading the dengue we have used the classification algorithms. Machine learning is one of the key methods used in modern day analysis. Many algorithms have been used for medical purposes. Dengue disease is one of the serious contagious diseases. To find the features related to spreading of dengue disease, we have used popular machine learning algorithms. This proposed work focuses on evaluating the performances of the various machine learning techniques like-Random Forest Classifier (RFC), Decision Tree Classifier (DTC) and Linear Support Vector Machine (LSVM). Predictive Mean Matching is applied for preprocessing of the data and percentage split is applied for resampling of the data. Information gain values for each of the attributes are calculated. The attributes are sorted on the basis of information gain values. Feature selection methods (FSMs) such as Forward Selection (FS) and Backward Elimination (BE) are applied to choose the finest subset of the attributes, so that the algorithm runs more efficiently with a lower run time. It also results in the improvement of the accuracy. The attributes selected by the Feature Selection Methods are the main attributes which results in the probable effects of global weather change on human healthiness.  BEIESP.</text>
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                <text>Dasgupta S.; Sharma N.; Sinha S.; Raghavendra S.</text>
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                <text>International Journal of Engineering and Advanced Technology, Vol-8, No. 5, pp. 2679-2685.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069921202&amp;amp;partnerID=40&amp;amp;md5=ee74c26edab38d254101479835108e0b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069921202&amp;amp;partnerID=40&amp;amp;md5=ee74c26edab38d254101479835108e0b&lt;/a&gt;</text>
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                <text>ISSN: 22498958</text>
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                <text>Dasgupta S., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India; Sharma N., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India; Sinha S., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India; Raghavendra S., Department of Computer Science and Engineering, CHRIST DEEMED TO BE UNIVERSITY, Bangalore, India</text>
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                <text>Evaluating the Pertinence of Pose Estimation model for Sign Language Translation</text>
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                <text>deep learning model; landmark detection; machine learning model; pose estimation; SLR models</text>
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                <text>Sign Language is the natural language used by a community that is hearing impaired. It is necessary to convert this language to a commonly understandable form as it is used by a comparatively small part of society. The automatic Sign Language interpreters can convert the signs into text or audio by interpreting the hand movements and the corresponding facial expression. These two modalities work in tandem to give complete meaning to each word. In verbal communication, emotions can be conveyed by changing the tone and pitch of the voice, but in sign language, emotions are expressed using nonmanual movements that include body posture and facial muscle movements. Each such subtle moment should be considered as a feature and extracted using different models. This paper proposes three different models that can be used for varying levels of sign language. The first test was carried out using the Convex Hull-based Sign Language Recognition (SLR) finger spelling sign language, next using a Convolution Neural Network-based Sign Language Recognition (CNN-SLR) for fingerspelling sign language, and finally pose-based SLR for word-level sign language. The experiments show that the pose-based SLR model that captures features using landmark or key points has better SLR accuracy than Convex Hull and CNN-based SLR models. 2023 World Scientific Publishing Europe Ltd.</text>
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                <text>Amrutha K.; Prabu P.</text>
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                <text>International Journal of Computational Intelligence and Applications, Vol-22, No. 1</text>
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                <text>&lt;a href="https://doi.org/10.1142/S1469026823410092" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1142/S1469026823410092&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158862167&amp;amp;doi=10.1142%2FS1469026823410092&amp;amp;partnerID=40&amp;amp;md5=eb20e29380b7d256fda5b1eef4a8cd57" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158862167&amp;amp;doi=10.1142%2fS1469026823410092&amp;amp;partnerID=40&amp;amp;md5=eb20e29380b7d256fda5b1eef4a8cd57&lt;/a&gt;</text>
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              <elementText elementTextId="97690">
                <text>Restricted Access</text>
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                <text>ISSN: 14690268 | CS; 2023-2024; Vol-1; 00263-00264</text>
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                <text>Amrutha K., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, Karnataka, India; Prabu P., Department of Computer Science, CHRIST (Deemed to Be University), Bengaluru, Karnataka, India</text>
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              <elementText elementTextId="225901">
                <text>Kumari, Sonit; Malviya, Alok Kumar</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="225902">
                <text>Evaluating the Potential of Cordycepin as a Therapeutic Agent for Cancer: In-Silico Analysis of EGFR and VEGFR Interactions</text>
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                <text>International Research Journal of Multidisciplinary Scope;Volume;6;Issue;2;pp.1103-1111</text>
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                <text>&lt;a href="https://doi.org/10.47857/irjms.2025.v06i02.03710" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.47857/irjms.2025.v06i02.03710&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105006710346?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105006710346?origin=resultslist&lt;/a&gt;</text>
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                <text>Kumari S., Applied and Industrial Biotechnology Laboratory, Department of Life Sciences, CHRIST (Deemed-to-Be University), Karnataka, Bangalore, India; Malviya A.K., Applied and Industrial Biotechnology Laboratory, Department of Life Sciences, CHRIST (Deemed-to-Be University), Karnataka, Bangalore, India</text>
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                <text>Due to multipotent activity, Cordycepin, a nucleoside isolated from Cordyceps fungi (Cordyceps militaris), has recently attracted considerable interest as a compound for antitumor. Cordycepin is also known as 3-deoxyadenosine, which is known to inhibit tumor growth, but the actual mechanism is not known. The present work aims to evaluate the cordycepin as an anticancer candidate by analyzing its impact on the major oncogene receptors EGFR and VEGFR through an in-silico approach. In the analysis, computational docking was performed with AutoDock Vina 1.5.7, which estimated the binding constants of cordycepin with EGFR and VEGFR and got binding energies of -6.8 kcal/mol and -5.5 kcal/mol, respectively, relative to a reference Leucovorin molecule. In addition, molecular dynamics simulations were also performed for the best complex (Cordycepin-EGFR) to examine the conformational dynamic behavior of the cordycepin-EGFR complex. The functionality and architecture of the cordycepin-EGFR complex were illustrated: their interaction might serve as a base for therapy. Also, ADMET predictions show that cordycepin follows Lipinskis rules, which supports the drug-likeness of cordycepin compounds. Accordingly, the findings presented here will confirm and draw the attention of the scientific community to use the cordycepin as a possible treatment for cancer and its potential use in scientific pharmacology.  2025, Iquz Galaxy Publisher. All rights reserved.</text>
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              <elementText elementTextId="225908">
                <text>ADMET; Cordycepin; EGFR; Molecular Docking; Molecular Dynamic Simulation; VEGFR</text>
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                <text>Iquz Galaxy Publisher</text>
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                <text>ISSN: 2582631X;</text>
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              <elementText elementTextId="225913">
                <text>All Open Access; Gold Open Access</text>
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          <element elementId="50">
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              <elementText elementTextId="81490">
                <text>Evaluating the Role of Economic Factors in Sustainable Consumption Behaviour</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="81491">
                <text>consumer goods; economic factors; Sustainable consumption behaviour</text>
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                <text>The research paper investigates the intricate nexus between economic factors and sustainable consumption behaviour, providing a nuanced exploration of how such considerations shape an individuals choice in the realm of environmental responsibility. Drawing on established theories of consumer behaviour and sustainability, this study employs a positivist approach encompassing quantitative surveys and analysis. It scrutinises the effects of prices, expectations and other broader economic conditions on the adoption of sustainable practices. The findings contribute significantly to the existing body of knowledge by providing a holistic understanding of the economic levers instrumental in driving towards sustainable consumption like taste and preferences and price or hindering the shift towards sustainable consumption like societal behaviour and availability of alternatives. This research aims to inform policymakers, businesses and consumers alike, facilitating the development of targeted interventions and initiatives that foster a harmonious convergence of economic and ecological goals.  2024 IOS Press BV. All rights reserved.</text>
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              <elementText elementTextId="81493">
                <text>Oberoi P.; Bhandari J.</text>
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              <elementText elementTextId="81494">
                <text>Asian Journal of Water, Environment and Pollution, Vol-21, No. 2, pp. 23-32.</text>
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                <text>&lt;a href="https://doi.org/10.3233/AJW240018" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3233/AJW240018&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194178236&amp;amp;doi=10.3233%2FAJW240018&amp;amp;partnerID=40&amp;amp;md5=e7afc173a8effb778722c62407dec4ce" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194178236&amp;amp;doi=10.3233%2fAJW240018&amp;amp;partnerID=40&amp;amp;md5=e7afc173a8effb778722c62407dec4ce&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="81498">
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                <text>Oberoi P., CHRIST University, Bengaluru, India; Bhandari J., CHRIST University, Bengaluru, India</text>
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                <text>Evaluating the role of soil EPS in modifying the toxicity potential of the mixture of polystyrene nanoplastics and xenoestrogen, Bisphenol A (BPA) in Allium cepa L.</text>
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                <text>The coexistence of emerging pollutants like nanoplastics and xenoestrogen chemicals such as Bisphenol A (BPA) raises significant environmental concerns. While the individual impacts of BPA and polystyrene nanoplastics (PSNPs) on plants have been studied, their combined effects are not well understood. This study examines the interactions between eco-corona formation, physicochemical properties, and cyto-genotoxic effects of PSNPs and BPA on onion (Allium cepa) root tip cells. Eco-corona formation was induced by exposing BPA-PSNP mixtures to soil extracellular polymeric substances (EPS), and changes were analyzed using 3D-EEM, TEM, FTIR, hydrodynamic diameter, and contact angle measurements. Onion roots were treated with BPA (2.5, 5, and 10 mgL-1) combined with plain, aminated, and carboxylated PSNPs (100 mgL-1), with and without EPS interaction. Toxicity was assessed via cell viability, oxidative stress markers (superoxide radical, total ROS, hydroxyl radical), lipid peroxidation, SOD and catalase activity, mitotic index, and chromosomal abnormalities. BPA alone increased cytotoxic and genotoxic parameters in a dose-dependent manner. BPA with aminated PSNPs exhibited the highest toxicity among the pristine mixtures, revealing increased chromosomal abnormalities, oxidative stress, and cell mortality with rising BPA concentrations. In-silico experiments demonstrated the relationship between superoxide dismutase (SOD), catalase enzymes, PSNPs, BPA, and their mixtures. EPS adsorption notably reduced cyto-genotoxic effects, lipid peroxidation, and ROS levels, mitigating the toxicity of BPA-PSNP mixtures.  2024 Elsevier B.V.</text>
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                <text>Giri S.; Debroy A.; Nag A.; Mukherjee A.</text>
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                <text>Journal of Hazardous Materials, Vol-477</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.jhazmat.2024.135252" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.jhazmat.2024.135252&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199297000&amp;amp;doi=10.1016%2Fj.jhazmat.2024.135252&amp;amp;partnerID=40&amp;amp;md5=02949f5f04a6fbb607819cf8334793f5" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199297000&amp;amp;doi=10.1016%2fj.jhazmat.2024.135252&amp;amp;partnerID=40&amp;amp;md5=02949f5f04a6fbb607819cf8334793f5&lt;/a&gt;</text>
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              <elementText elementTextId="77212">
                <text>Restricted Access</text>
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                <text>ISSN: 3043894; PubMed ID: 39047567; CODEN: JHMAD</text>
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                <text>Giri S., Centre for Nanobiotechnology, Vellore Institute of Technology, Tamil Nadu, Vellore, India; Debroy A., Centre for Nanobiotechnology, Vellore Institute of Technology, Tamil Nadu, Vellore, India; Nag A., Department of Life Sciences, Bangalore Central campus, CHRIST (Deemed to be University), Bangalore, India; Mukherjee A., Centre for Nanobiotechnology, Vellore Institute of Technology, Tamil Nadu, Vellore, India</text>
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                <text>Evaluating the usability of mhealth applications on type 2 diabetes mellitus using various mcdm models</text>
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                <text>Critic; MHealth applications; T2DM; Usability score</text>
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                <text>The recent developments in the IT world have brought several changes in the medical industry. This research work focuses on few mHealth applications that work on the management of type 2 diabetes mellitus (T2DM) by the patients on their own. Looking into the present doctor-to?patient ratio in our country (1:1700 as per a Times of India report in 2021), it is very essential to develop self?management mHealth applications. Thus, there is a need to ensure simple and user-friendly mHealth applications to improve customer satisfaction. The goal of this study is to assess and appraise the usability and effectiveness of existing T2DM?focused mHealth applications. TOP? SIS, VIKOR, and PROMETHEE II are three multi?criteria decision?making (MCDM) approaches considered in the proposed work for the evaluation of the usability of five existing T2DM mHealth applications, which include Glucose Buddy, mySugr, Diabetes: M, Blood Glucose Tracker, and OneTouch Reveal. The methodology used in the research work is a questionnaire?based evaluation that focuses on certain attributes and sub?attributes, identified based on the features of mHealth applications. CRITIC methodology is used for obtaining the attribute weights, which give the pri-ority of the attributes. The resulting analysis signifies our proposed research by ranking the mHealth applications based on usability and customer satisfaction.  2021 by the authors. Licensee MDPI, Basel, Switzerland.</text>
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                <text>Kamaldeep; Roy S.; Poonia R.C.; Nayak S.R.; Kumar R.; Alzahrani K.J.; Alnfiai M.M.; Al?wesabi F.N.</text>
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                <text>Healthcare (Switzerland), Vol-10, No. 1</text>
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                <text>&lt;a href="https://doi.org/10.3390/healthcare10010004" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3390/healthcare10010004&lt;/a&gt;
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              <elementText elementTextId="113351">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>ISSN: 22279032</text>
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                <text>Kamaldeep, Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Roy S., Faculty of Computing and Information Technology, Usha Martin University, Ranchi, 835103, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, 560029, India; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201301, India; Kumar R., Department of Computer Science and Engineering, GIET University, Rayagada, 765022, India; Alzahrani K.J., Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Alnfiai M.M., Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia; Al?wesabi F.N., Department of Computer Science, College of Science &amp;amp; Art at Mahayil, King Khalid University, Abha, 61421, Saudi Arabia, Department of Information Systems, Faculty of Computer and Information Technology, Sanaa University, Sanaa, 1993, Yemen</text>
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