Immobilized proline-based electro-organocatalyst for the synthesis of bis-?-diketone via Knoevenagel condensation reaction
subject: Bis-?-diketone; Electro-organic synthesis; Electro-organocatalyst; Knoevenagel condensation; L-proline
description: In the quest for more sustainable chemical processes, we devised a technique using electro-organocatalysis to synthesize bis-?-diketone compounds via Knoevenagel condensation of benzaldehyde and dimedone. Our approach involves a modified electrode fabricated via anchoring L-proline onto a carbon fiber paper electrode supported by poly-3,4-diaminobenzoic acid (PDABA), which enhances efficiency in addition to the simple catalyst separation from the reaction mixture in heterogeneous catalysis. The electrochemical and surface topographical studies for the fabricated electrode were carried out, revealing high efficiency in comparison to the bare carbon fiber paper electrode. This electrochemical reaction operates under mild conditions utilizing lithium perchlorate and acetonitrile, yielding high amounts of the desired product. This study showcases a promising pathway for producing valuable organic compounds in an environmentally friendly manner, marking a significant stride forward in sustainable synthesis practices. 2024 Elsevier Ltd
creator: Thadathil D.A.; Varghese A.
source: Electrochimica Acta, Vol-505
publisher: Elsevier Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 134686; CODEN: ELCAA
format: Online
language: English
type: Article
coverage: Thadathil D.A., Department of Chemistry, CHRIST University, Karnataka-, Bengaluru, 560029, India; Varghese A., Department of Chemistry, CHRIST University, Karnataka-, Bengaluru, 560029, India

Empowering BRICS economies: The crucial role of green finance, information and communication technologyand innovation in sustainable development
subject: green finance; ICT; renewable energy; SDG; technological innovation
description: This study delves into the crucial role of green finance, information and communication technology (ICT), technological innovation, and renewable energy in the Brazil, Russia, India, and China (BRICS) countries from 2000 to 2021. The findings highlight the importance of green finance in reducing the ecological footprint and promoting eco-friendly initiatives, sustainable practices, environmental technology innovation, and heightened environmental awareness. This means 1% increase in green related finance has reduced ecological footprint by 0.72% in BRICS economies. Additionally, technological innovation and the consumption of renewable energy play a significant role in enhancing environmental sustainability. Conversely, the study reveals that ICT has a considerable impact on the ecological footprint, but the interaction effect with green finance helps to mitigate its negative effects and improve the environmental quality. Meanwhile, non-renewable energy, gross domestic product (GDP) per capita, and urbanization have an adverse effect on the environment. To strengthen green finance in BRICS countries, governments can establish comprehensive policy frameworks that prioritize sustainability and create a conducive climate for incentivizing investment in environmentally friendly endeavors. 2024 ERP Environment and John Wiley & Sons Ltd.
creator: Sahoo M.; Bhujabal P.; Gupta M.; Islam M.K.
source: Sustainable Development, Vol-32, No. 6, pp. 7292-7308.
publisher: John Wiley and Sons Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 9680802
format: Online
language: English
type: Article
coverage: Sahoo M., Institute of Energy Policy and Research, Universiti Tenaga Nasional, Kajang, Malaysia; Bhujabal P., School of Business, Woxsen University, Hyderabad, India; Gupta M., School of Commerce, Finance and Accountancy, Christ (Deemed to be University) YPR, Banglore, India; Islam M.K., Institute of Energy Policy and Research, Universiti Tenaga Nasional, Kajang, Malaysia

Balancing cerebrovascular disease data with integrated ensemble learning and SVM-SMOTE
subject: Bagging; Boosting; Cerebrovascular disease; Ensemble learning; Imbalanced classification; Machine learning; Stacking
description: The paper addresses the challenge of imbalanced classification in the context of cerebrovascular diseases, including stroke, transient ischemic attack (TIA), and vascular dementia. The imbalanced nature of cerebrovascular disease datasets poses significant challenges to conventional machine learning algorithms, making precise diagnosis and effective management difficult. The aim of the paper is to propose a novel approach, the INTEL_SS algorithm, which combines ensemble learning techniques with Support Vector Machine-Synthetic Minority Over-sampling Technique (SVM-SMOTE) to effectively handle the imbalanced nature of cerebrovascular disease datasets. The goal is to improve the accuracy of diagnosis and management of cerebrovascular diseases through advanced machine learning techniques. The proposed methodology involves several key steps, including preprocessing, SVM-SMOTE, and ensemble learning. Preprocessing techniques are used to improve the quality of the dataset, SVM-SMOTE is employed to address class imbalance, and ensemble learning methods such as bagging, boosting, and stacking are utilized to improve overall classification performance. The experimental results demonstrate that the INTEL_SS algorithm outperforms existing methods in terms of accuracy, precision, recall, F1-score, and AUC-ROC. Performance metrics are used to assess the effectiveness of the proposed approach, and the results consistently show the superiority of INTEL_SS compared to state-of-the-art imbalanced classification algorithms. The paper concludes that the INTEL_SS algorithm has the potential to enhance the diagnosis and management of cerebrovascular diseases, offering new opportunities to apply machine learning techniques to improve healthcare outcomes. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2024.
creator: Nithya R.; Kokilavani T.; Beena T.L.A.
source: Network Modeling Analysis in Health Informatics and Bioinformatics, Vol-13, No. 1
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 21926662
format: Online
language: English
type: Article
coverage: Nithya R., Department of Computer Science, St. Josephs College (Autonomous), Affiliated to Bharathidasan University, Trichy, India; Kokilavani T., Department of Computer Science, Christ University, Karnataka, Bangalore, India; Beena T.L.A., Department of Computer Science, St. Josephs College (Autonomous), Affiliated to Bharathidasan University, Trichy, India

Rejuvenating human resource accounting research: a review using bibliometric analysis
subject: Author keyword co-occurrences; Bibliometric analysis; Human resource accounting; M1; M4; Network visualization
description: The current study attempts to map the intellectual structure of Human Resource Accounting to understand the research gaps and future trajectories. The study employs systematic literature review technique to extract relevant literature, bibliometric analysis to map the intellectual structure of research in human resource accounting, to identify underlying research themes and content analysis to identify avenues for future research. Based on 2438publications, author keyword co-occurrences extracted four themes namely, Human Resource Management, Intellectual Capital, Human Capital, and Voluntary Disclosure. The study also summarizes significant findings of papers under each cluster through content analysis identifying areas for future research. The study provides a birds eye view of the intellectual structure of academic research efforts in the field of human resource accounting. The study is one of the first attempt to comprehensively review the academic literature from Scopus database employing systematic literature review, bibliometric methods, and content analysis in the field of human resource accounting. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.
creator: Bhooshetty L.
source: Management Review Quarterly, Vol-74, No. 4, pp. 2149-2182.
publisher: Springer Nature
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 21981620
format: Online
language: English
type: Article
coverage: Bhooshetty L., Department of Commerce, Christ University, Bangalore, India

Knowledge, Attitude, and Stigma Among Adolescents: Effect of Mental Health Awareness and Destigmatisation (MHAD) Program
subject: adolescence; destigmatisation; effect; mental health awareness
description: Background: Stigma against mental health problems is a common issue for adolescents aged 1418 years. However, comprehensive programs that simultaneously address awareness and stigma reduction tailored to the specific needs of this age group are lacking. Method: This study investigated the effectiveness of the Mental Health Awareness and Destigmatisation Program (MHAD) in reducing stigma and improving knowledge and attitudes towards peers with mental health problems. A quasi-experimental pre-post design was employed among adolescents aged 1418 years from an educational institution in Bangalore. After excluding those with high baseline mental health symptoms (PSC-17 > 20), a preassessment was conducted on adolescents' knowledge, attitude, and stigma (n = 52) using the Mental Health Knowledge Schedule, Self-structured Case Vignettes, and Peer Mental Health Stigmatization Scale. After completing the 6-week program, three participants were excluded from the post-assessment, as their attendance was less than 50%. A total of 49 (mean age = 16 years) adolescents were included in the post-assessment. Results: The paired sample t-test revealed significant improvements in all stigma scores. The Wilcoxon signed-rank test indicated a significant improvement in Recognition of Mental Illness scores. Conclusion: Findings showed that MHAD, an education-based program, was effective in reducing adolescents' stigma towards peers with mental health problems and improving their overall recognition of mental health symptoms. Research across larger adolescent populations is essential to enhance these interventions' long-term impact and sustainability. By closely monitoring and expanding research efforts, we can gain deeper insights into how these programs foster self-awareness, a crucial factor in recognizing mental health needs, challenging stigma, and promoting help-seeking behaviors among adolescents. 2024 Wiley Periodicals LLC.
creator: Manjari A.S.; Sudhesh N.T.
source: Journal of Child and Adolescent Psychiatric Nursing, Vol-37, No. 4
publisher: John Wiley and Sons Inc
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 10736077; PubMed ID: 39607863
format: Online
language: English
type: Article
coverage: Manjari A.S., Department of Psychology, School of Psychological Sciences, CHRIST (Deemed to be University), Bangalore, India; Sudhesh N.T., Department of Psychology, School of Psychological Sciences, CHRIST (Deemed to be University), Bangalore, India

Discrimination Experiences of Old Settlers in Sikkim: A Qualitative Exploration
subject: Discrimination; Northeasterners; Old settlers; Race; Sikkim; Stigma
description: Race-based stigma and discrimination have been extensively studied from the perspective of the northeastern community due to their minority status in most states of India. Discrimination experiences of the mainland Indians in the northeastern states, where they are a minority, are little discussed. The Rajya Sabha (upper house of the parliament) Committee of Petitions in 2014 acknowledged that the old settlers were treated as second-class citizens in Sikkim. In the present study, we explored the existence and manifestation of discrimination experiences of old settlers who settled in Sikkim before 1975 and perceive themselves to be stigmatized. This study focused on Sikkim because the state merged with India in 1975 and has had less time integrating with migrants or mainlanders than other northeastern states. We conducted nine semi-structured interviews with seven male and two female participants from the Marwari, Bihari, and Punjabi mainland communities. Using thematic analysis, we developed 1 global theme, 2 organizing themes, and 24 basic themes. The analysis showed the existence of discrimination and racism against old settlers and their manifestations at institutional and interpersonal levels. The findings are important from a policymaking perspective as they provide evidence to the conclusion reached by the Rajya Sabha Committee on Petitions and provide valued suggestions for reports on race-based discrimination in India. The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India 2023.
creator: Malu B.; KareepadathRajan S.; Jindal N.; Thakur A.
source: Psychological Studies, Vol-69, No. 4, pp. 417-431.
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 332968
format: Online
language: English
type: Article
coverage: Malu B., O P Jindal Global University, Haryana, Sonipat, India; KareepadathRajan S., CHRIST (Deemed to Be University), Bengaluru, India; Jindal N., CHRIST (Deemed to Be University), Bengaluru, India; Thakur A., Palo Alto University, Palo Alto, CA, United States

Valorisation of coffee husk as replacement of sand in alkali-activated bricks
subject: Alkali-activated; Bricks; Coffee husk; Sand; Valorization
description: The coffee industry is known to generate voluminous amount of waste during its production process. Different types of waste such as coffee hush ash and spent coffee ground, to name a few, have been extensively researched as a substitute in the construction industry. However, the utilization of coffee husk as a substitute for construction materials has seen limited exploration. In particular, there are no studies which investigate the utilization of waste coffee husk (WCH) in alkali-activated bricks. Therefore, in this research WCH was employed as a substitute to sand in alkali-activated bricks. Alkali-activated bricks were synthesized with ground granulated blast furnace slag (GGBFS), fly ash (FA), sand, and sodium silicate solution (SS). Sand was replaced with WCH at replacement rates of 0 %, 5 %, 10 %, 15 %, 20 %, and 30 % by volume. The developed bricks were evaluated for strength, density, water absorption, porosity, and efflorescence. Additionally, structural and morphological characteristics of bricks were assessed by Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Thermogravimetric analysis (TGA), and Scanning electron microscopy (SEM) analysis. The results indicate that bricks with WCH improve the compressive strength with a maximum value of 15.7 MPa, and reduce the density with a minimum value of 1509 kg/m3 for composites with 30 % WCH, respectively. The water absorption and porosity of bricks increased with incorporation of WCH due to porous structure of WCH. The physico-chemical analysis of the bricks shows effective geopolymerization in the composite system with WCH, and further the bricks with 30 % WCH depict thermal stability with insignificant weight loss at 575 ?. Finally, the composites with 30 % WCH classify as good quality bricks as per IS 1077: 1992 specifications, and this will improve practical feasibility of such materials in the construction industry. 2024 The Authors
creator: Biswas S.; Hossiney N.; Mohan M.K.; Kumar S.L.
source: Case Studies in Construction Materials, Vol-21
publisher: Elsevier Ltd
date: 2024-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 22145095
format: Online
language: English
type: Article
coverage: Biswas S., Department of Civil Engineering, School of Engineering and Technology, Christ University, Bangalore, 560074, India; Hossiney N., Department of Civil Engineering, School of Engineering and Technology, Christ University, Bangalore, 560074, India; Mohan M.K., Sciences and Humanities, School of Engineering and Technology, Christ University, Bangalore, 560074, India; Kumar S.L., Department of Civil Engineering, School of Engineering and Technology, Christ University, Bangalore, 560074, India

Evaluation of an interprofessional collaborative practice training module for the management of children with autism spectrum disorder
subject: Autism spectrum disorder; Collaborative practice; Health care professional; Interprofessional; Training module
description: Background: Protocols instituted for behavioral treatment and skills training programs for the management of autism spectrum disorder (ASD) suffer from lack of collaborative approaches. The tenets of interprofessional collaborative practice (IPCP) focus on preparing a panel of health care professionals (HCPs) from different professions who can work together to enable the common goal of ensuring that children with ASD can participate in society. This study was designed to pilot this approach through an IPCP training module on ASD for care providers from multiple professions. Methods: An interventional study with pre-post analysis began with formation of the interprofessional (IP) team, who developed an IPCP module, addressing the knowledge and skills needed for the collaborative management of neurodevelopmental issues of children with ASD. This module was delivered through an online training workshop using various teaching learning methods to the participants from seven different health professions after obtaining informed consent. Perceptions of interprofessional collaboration and competencies of IPCP were assessed using standard IP tools and reflective summaries and analyzed through a mixed-methods approach. Results: A total of 42 HCPs from seven professions, including speech and hearing, occupational therapy, clinical psychology, physiotherapy, pediatrics, nursing, and pedodontics, participated in the study. Pre-post analysis of PINCOM-Q and Dow-IPEC data and thematic analysis revealed a significant difference in the perceptions of interprofessional collaboration and competencies levels of IPCP. Conclusion: This study suggests that use of IPCP principles in the training of professionals working with ASD is a promising and feasible option to develop more competent health professionals. The training enhanced the abilities of professionals to work in field of ASD as conveyed by the participants. They also expressed confidence in the knowledge of IP core competencies …
creator: Velladath S.U.; Kulkarni M.M.; Rege S.; Edavana Santhosh S.; Tiwari S.; John S.; Nayak R.; Aroor S.; Biju S.; Ali Mohammed C.
source: Medical Journal Armed Forces India, Vol-80, pp. S38-S42.
publisher: Elsevier B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 3771237; CODEN: MJAID
format: Online
language: English
type: Article
coverage: Velladath S.U., Professor (Medical Laboratory Technology), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India, College of Medicine & Health Sciences, National University of Science & Technology, Oman; Kulkarni M.M., Associate Professor (Community Medicine), Kasturba Medical College, Manipal Academy of Higher Education, Karnataka, Manipal, India; Rege S., Associate Professor (Occupational Therapy), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; Edavana Santhosh S., Assistant Professor (Clinical Psychology), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; Tiwari S., Associate Professor (Speech & Hearing), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; John S., Associate Professor (Speech & Hearing), Manipal College of Health Professions, Manipal Academy of Higher Education, Karnataka, Manipal, India; Nayak R., Professor (Pedodontics), Manipal College of Dental Sciences, Manipal Academy of Higher Education, Karnataka, Manipal, India; Aroor S., Professor & Head (Pediatrics), Kasturba Medical College, Manipal Academy of Higher Education, Karnataka, Manipal, India; Biju S., Professor (School of Business & Management), Christ University, Karnataka, Bengaluru, India; Ali Mohammed C., College of Medicine & Health Sciences, National University of Science & Technology, Oman, Professor (Microbiology), Director, MAHE-FAIMER Institute, Manipal Academy of Higher Education, Manipal, India

Adsorption and storage of hydrogen- A computational model approach
subject: Adsorption; Complex hydrides; Hydrogen storage; Low carbon hydrogen production
description: Due to the imperative global energy transition crisis, hydrogen storage and adsorption technologies are becoming popular with the growing hydrogen economy. Recently, complex hydrides have been one of the most reliable materials for storing and transporting hydrogen gas to various fuel cells to generate clean energy with zero carbon emissions. With the ever-increasing carbon emissions, it is necessary to substitute the current energy sources with green hydrogen-based efficient energy-integrated systems. Herein, we propose an input-output model that comprehends complex hydrides such as lithium and magnesium alanates, amides and borohydrides to predict, estimate, and directly analyse hydrogen storage and adsorption. A critical and thorough comparative analysis of the respective complex hydrides for hydrogen adsorption and storage is discussed, elucidating the storage applications in water bodies. Several industrial scale-up processes, economic analysis, and plant design of hydrogen storage and adsorption approaches are suggested through volumetric and gravimetric calculations. 2024 Elsevier Inc.
creator: Mittal H.; Kushwaha O.S.; Nadagouda M.; Hegde G.; Allen S.; M. Aminabhavi T.
source: Environmental Research, Vol-260
publisher: Academic Press Inc.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 139351; PubMed ID: 39004395; CODEN: ENVRA
format: Online
language: English
type: Article
coverage: Mittal H., Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Karnataka, Hubballi, 580 031, India, University School of Chemical Technology, Guru Gobind Singh Indraprastha University, Delhi, Dwarka, 110 078, India; Kushwaha O.S., Chemical Engineering Department, Indian Institute of Technology, Madras, Chennai, 600036, India; Nadagouda M., Department of Mechanical and Materials Engineering, Wright State University, Dayton, 45435, OH, United States; Hegde G., Centre for Advanced Research and Development, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560 029, India; Allen S., School of Chemistry and Chemical Engineering, Queen's University, Belfast, BT9 5AG, United Kingdom; M. Aminabhavi T., Center for Energy and Environment, School of Advanced Sciences, KLE Technological University, Karnataka, Hubballi, 580 031, India, Korea University, Seoul, 02841, South Korea

Comprehensive study of the physicochemical properties of three-component deep eutectic solvents and their implications for microbial and anticancerous activity
subject: Choline chloride; Deep eutectic solvents; Green chemistry; Physicochemical properties; Sustainable solvents
description: 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
creator: Kumar S L.; Puneeth V.; Tabassum S.; Govindaraju S.
source: Journal of the Indian Chemical Society, Vol-101, No. 11
publisher: Elsevier B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 194522; CODEN: JICSA
format: Online
language: English
type: Article
coverage: 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

Exploring perceptions of psychology students in Delhi-NCR Region towards using mental health apps to promote resilience: a qualitative study
subject: Engaging features; FGDs; Mental health apps; MHapps; Progress tracking; Reflexive thematic analysis; Resilience; University students
description: Background: Mental health apps (MHapps) have the potential to become an essential constituent for addressing mental health disparities and influencing the psychological outcomes of students in India. Though lauded as a practical approach to preventing various mental health issues, there are concerns that developing and utilizing MHapps standardized on Western populations produce ineffective results for the natives of Asian countries such as India due to a wide range of cultural differences. This research was conducted on psychology students living in the Delhi-NCR region of the Indian subcontinent. The study explored psychology students perceptions, needs, and preferences regarding mental health apps that promote resilience, identified barriers and facilitators for developing effective mental health apps, and explored the cultural relevance of the development of MHapps in India. Methods: This was an exploratory study utilizing focus group discussions among psychology students. Psychology students were sampled using snowball sampling from Delhi-NCR region colleges to participate in FGDs. We conducted six focus groups, which included a representation of 30 psychology students from full-time UG/PG courses. The study used a reflexive thematic analysis framework using the six-step Braun and Clarke process to develop themes. Results: Psychology students valued MHapps for their easy accessibility, 24*7 functionality, affordable costs, highly engaging features, and the option of being anonymous. However, students preferred the apps based on established psychological frameworks with strong empirical evidence and the availability of remote mental health professionals with relevant qualifications and training. The main barriers to using MHapps identified by students included difficulties in differentiating between real and fake MHapps, lack of progress tracking of the users due to minimal human interactions, and ethical and data privacy concerns. Students also emphasized the c…
creator: Chawla S.; Saha S.
source: BMC Public Health, Vol-24, No. 1
publisher: BioMed Central Ltd
date: 2024-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 14712458; PubMed ID: 39061041
format: Online
language: English
type: Article
coverage: Chawla S., Department of Psychology, Christ University, NCR, Delhi, India; Saha S., Department of Psychology, Christ University, NCR, Delhi, India

Comparative efficiency analysis of RF power amplifiers with fixed bias and envelope tracking bias
subject: Envelope tracking; Envelope tracking bias; ETPA; Fixed bias; Mobile communication; RF power amplifier; Wireless communication
description: RF power amplifier (RF PA) finds its application in almost all the areas of electronics, mobile communication being identified as a major area. The paper performs a comparative efficiency analysis of RF power amplifiers operating with a fixed bias and an envelope tracking bias. Simulations are performed using Keysight advanced design system (ADS) tool. A class a RF PA operating at a 12 dB gain is fixed for the work. 16 QAM LTE signal operating at 5 MHz input frequency, with a peak to average power ratio (PAPR) of 6.0 dB is used as input signal. An envelope simulation at 2.5 GHz is performed on the RF power amplifier. Simulation result shows an improvement of 12% in power added efficiency (PAE) at 6 dB back-off and 6.422% in mean PAE while using envelope tracking power amplifiers, compared to RF PA with fixed supply. Envelope tracking power amplifiers reduced AM/AM distortions also by a factor of 0.248. The results obtained are much better than that obtained using a conventional RF PA with fixed bias. RF PA being the most power dissipative block in a mobile handset, improving its efficiency contributes directly to a great improvement in the battery lifetime of mobile phones. The major challenges faced by envelope tracking PA (ETPA) designers in achieving this efficiency improvement is also delineated in the paper. 2024 Institute of Advanced Engineering and Science. All rights reserved.
creator: Babu A.; Shivaleelavathi B.G.; Yatnalli V.
source: Indonesian Journal of Electrical Engineering and Computer Science, Vol-36, No. 2, pp. 808-816.
publisher: Institute of Advanced Engineering and Science
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 25024752
format: Online
language: English
type: Article
coverage: Babu A., Department of Electronics and Communication Engineering, CHRIST University, Bengaluru, India; Shivaleelavathi B.G., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Bengaluru, India; Yatnalli V., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Bengaluru, India

A comprehensive review on natural macromolecular biopolymers for biomedical applications: Recent advancements, current challenges, and future outlooks
subject: Biocompatible; Biomedicine; Natural polymers; Regenerative medicine; Tissue engineering
description: Versatile material properties coupled with high degree of biocompatibility and biodegradability has made biopolymers as potential candidates for diverse applications in the biomedical field. Natural biopolymers derived from various plant, animal and microbial sources with different biochemical compositions are extensively used in biomaterial industry with or without further medication to their native form. Biopolymeric biomaterials have been employed in a wide range of biomedical applications like tissue engineering, drug delivery, bone regeneration, wound dressings and cardiovascular surgery. Carbohydrate based biopolymers and protein based biopolymers are extensively used for several applications in the biomedical field including cartilage regeneration, periodontal tissue regeneration, bone regeneration, corneal regeneration, drug delivery and wound healing. This review work presents a comprehensive outlook on the applications of various biopolymers in biomedical field. The work elaborates the biochemistry of these polymers with special focus on their crucial properties in the biomedical industry. Further a detailed description on the most recent application of various biopolymers in the biomedical filed is presented in this review. This work further summarizes the current challenges and future prospects in the use of biopolymers in biomedical field. 2024 The Author(s)
creator: Kalpana Manivannan R.; Sharma N.; Kumar V.; Jayaraj I.; Vimal S.; Umesh M.
source: Carbohydrate Polymer Technologies and Applications, Vol-8
publisher: Elsevier Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 26668939
format: Online
language: English
type: Article
coverage: Kalpana Manivannan R., Institute of Biotechnology, Department of Bioengineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Sharma N., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Kumar V., Biomaterials and Tissue Engineering (BITE) Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Jayaraj I., Department of Bioengineering, Institute of Biotechnology, Saveetha School of Engineering, SIMATS, Chennai, 602105, India; Vimal S., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Umesh M., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India

Comprehensive investigations on spectral and temporal features of GX 5-1 using AstroSat observations
subject: accretion, accretion discs; stars: neutron; X-rays: binaries; X-rays: individual: GX 5-1
description: Comprehensive spectrotemporal analyses of the Z-type neutron star low-mass X-ray binary GX 5-1 were performed using 10 broad-band observations from AstroSat/Soft X-ray Telescope and Large Area X-ray Proportional Counter (LAXPC) instruments. The LAXPC-20 hardness-intensity diagram showed horizontal and normal branches (HBs and NBs) of the Z track which exhibited secular motion. The time-averaged spectra in the energy range 0.7-25.0 keV could be fitted with the model combination -Cconstant tbabs edge edge thcomp diskbb. This yielded ? ?2, kTe ?3.3 keV, and Fdisc/Ftotal ? 0.8 indicating the soft/intermediate spectral state of the source during the observations. Flux-resolved spectral analysis revealed a positive correlation between kTin and Fbol. However, a negative correlation was observed between them in one of the NBs. Time-averaged temporal analysis revealed multiple HB oscillations (HBOs) and NB oscillations (NBOs), and peaked noise components in the ?5-50 Hz range. Furthermore, flux-resolved temporal analysis showed that the frequency of the HBOs correlates positively whereas the strength of HBOs correlates negatively with Fbol, indicating their probable origin from the accretion disc. In contrast, the frequency and strength of NBOs remain fairly constant with Fbol, suggesting that they originate from a different region in the system. Using the relativistic precession model along with highest frequency of the HBO, the upper limits of the magnetic dipole moment (?) and field strength (B) at the poles of the neutron star in the system were found to be 25.60 1025G cm3 and 3.6408 G, respectively, for kA= 1. 2024 The Author(s).
creator: Thomas N.T.; Giridharan L.; Gudennavar S.B.; Bubbly S.G.
source: Monthly Notices of the Royal Astronomical Society, Vol-534, No. 4, pp. 3068-3086.
publisher: Oxford University Press
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 358711; CODEN: MNRAA
format: Online
language: English
type: Article
coverage: Thomas N.T., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Giridharan L., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Bubbly S.G., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India

Augmentation of the energy storage potential by harnessing the defects of charcoal for supercapacitor application
subject: Charcoal; Defects; Energy storage; Heteroatom; Supercapacitors
description: The depletion of fossil fuel reserves coupled with an avalanche in the global energy demand has driven the need for developing facile techniques for energy storage devices to a large extent. Supercapacitors, has emerged as one of the most promising energy storage devices to address the demands of providing high energy density, quick charge discharge cycles and long cyclic stability. Although carbon based materials play an imperative role in the fabrication of electrode material of this device, the inherent defects are known to hinder the performance of the system. Even so, these defects can be engineered in a way to improve its overall functionality. The present work reports the tuning of the inherent defects of wood charcoal by surface functionalisation and doping via thermal annealing in order to incorporate substitutional impurities such as Nitrogen and Sulfur resulting in the improvement of the surface area and porosity of the system. The specific surface area of the system is observed to increase significantly from 4.2 m2/g of the bare material to 411.19 m2/g and 865.36 m2/g with the addition of Nitrogen and Sulfur respectively at a pyrolysis temperature of 900 C. Furthermore, the incorporation of Nitrogen exhibits a remarkable specific capacitance of 567 F/g and 193.24 F/g, and the addition of Sulfur exhibits 644 F/g and 255.1 F/g in the three-electrode and two-electrode systems respectively at a current density of 1 A/g. They also exhibit an energy density of 26.83 Whkg?1 and 17.36 Whkg?1 respectively with a capacitance retention of 88.5 % and 86.1 % for 5000 cycles. 2024 Elsevier Ltd
creator: Mathew E.E.; Manoj B.
source: Journal of Energy Storage, Vol-102
publisher: Elsevier Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 2352152X
format: Online
language: English
type: Article
coverage: Mathew E.E., Department of Physics & Electronics, Christ (Deemed to be University), Bangalore, 560029, India; Manoj B., Department of Physics & Electronics, Christ (Deemed to be University), Bangalore, 560029, India

rGO-MoO3 Nanocomposite for superior methylene blue removal by adsorption and photocatalysis
subject: Adsorption; Nanosorbent; Photocatalysis; Scavenger
description: Efficient MoO3 and rGO (0.5,1,2 wt.%)-MoO3 nanosorbent was prepared by facile hydrothermal method. X-ray diffraction (XRD) and Raman spectroscopy techniques confirms the orthorhombic phase. Remarkably in 10 ppm MB dye, complete removal was observed for 1:3, 1:5, 1:3.3, 1:3 (mass of catalyst: volume of dye solution) ratio for pure, 0.5 wt.%, 1 wt.%, 2 wt.% rGO-MoO3 nanocomposite, by merely stirring for one hour without any light exposure. The adsorption mechanism was examined in detail using different models including Langmuir isotherm and Pseudo second-order kinetic model. The composite sample, rGO (0.5 wt.%)-MoO3 is the most efficient nanosorbent whereas rGO (2 wt.%)-MoO3 showed the least adsorption. rGO (2 wt.%)-MoO3 was further used for time dependent study in the presence of UV and in the dark. The presence of UV enhances removal due to the combined effect of adsorption and photocatalysis. Scavenger studies were performed to analyze the mechanism of photocatalysis. 2024 Elsevier Ltd
creator: Avani A.V.; Babu C.-R.; Anila E.I.
source: Materials Research Bulletin, Vol-180
publisher: Elsevier Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 255408; CODEN: MRBUA
format: Online
language: English
type: Article
coverage: Avani A.V., Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Babu C.-R., Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Anila E.I., Optoelectronic and Nanomaterials' Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India

Performance analysis of semantic veracity enhance (SVE) classifier for fake news detection and demystifying the online user behaviour in social media using sentiment analysis
subject: Fake news detection; Online user behaviour; Semantic veracity enhancement (SVE); Sentiment analysis; Twitter
description: The increased propagation of fake news is the significant concern in the digital era. Identification of fake news from social media platforms is critical to strengthen public trust and ensure social stability. This research presents an effective and accurate framework for identifying fake news that combines different steps of natural language processing (NLP) technique along with a neural network architecture. A novel semantic veracity enhancement (SVE) classifier is designed and implemented in this work for detecting fake news. The proposed approach leverages the effectiveness of sentiment analysis for identifying misleading or deceptive content and its subsequent implications on the sentiment and behaviour of social media users. A BERT model is used in this research for analysing the sentiments and classifying the texts from the social media platform. By examining the sentiments, the SVE classifier differentiates between real news and fabricated content. To achieve this, three different datasets comprising both actual content and fabricated (tweaked) tweets are employed for training the SVE classifier. The potentiality of the SVE classifier is evaluated and compared with different optimization techniques. The outcome of the experimental analysis shows that the proposed approach exhibits an excellent performance in terms of classifying misinformation from the original information with an outstanding accuracy of 99% compared to other state of art methods. 2024, The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.
creator: Sethurajan M.R.; Natarajan K.
source: Social Network Analysis and Mining, Vol-14, No. 1
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 18695450
format: Online
language: English
type: Article
coverage: Sethurajan M.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India; Natarajan K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India

Strategically designed multiwalled carbon nanotube/bismuth ferrite/polyaniline nanocomposites and unlocking their potential for advanced supercapacitors
subject: Bismuth ferrite; Multiwalled carbon nanotubes; Polyaniline; Specific capacitance; Supercapacitors
description: Bismuth ferrite (BF) serves a potential electrode-active material due to its peculiar characteristics such as wide voltage window and high specific capacitance, excellent stability, facile synthesis routes, etc. to name a few. Herein we report the strategic design and facile synthesis of multiwalled carbon nanotubes (MWCNT)/BF/polyaniline (PANI) nanocomposites, particularly for application in advanced supercapacitors. The MWCNT/BF/PANI nanocomposite architecture is a strategic design in which the maximum available surface area is utilized for the electrode nanostructure with increased porosity that allows easy movement of electrolyte-ions through it. The uniform arrangement of BF on MWCNTs helps in mitigating the possible agglomeration, further augmenting the surface area for an enhanced charge storage. The strategic layout of PANI on BF-decorated MWCNTs has given a coral-like structure for the nanocomposite electrode which significantly increased the surface area, reduced ion pathways and facilitating better access to electrolytic K+ ions. The MWCNT/BF/PANI nanocomposite electrode exhibits a specific capacitance of 3640 F g?1 at a current density of 5 A g?1. The innovative design as well as the synergy between the individual components of the nanocomposite electrode play a pivotal role in attaining the enhanced electrochemical performance. 2024 Elsevier B.V.
creator: Baby A.; V T.; Balakrishnan S.P.; Afzal M.; Cherusseri J.
source: Synthetic Metals, Vol-308
publisher: Elsevier Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 3796779; CODEN: SYMED
format: Online
language: English
type: Article
coverage: Baby A., Department of Chemistry, CHRIST (Deemed-to-be University), Karnataka, Bengaluru, 560029, India; V T., Department of Chemistry, CHRIST (Deemed-to-be University), Karnataka, Bengaluru, 560029, India; Balakrishnan S.P., Department of Chemistry, CHRIST (Deemed-to-be University), Karnataka, Bengaluru, 560029, India; Afzal M., Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Cherusseri J., School of Engineering and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, Selangor Darul Ehsan, 47500, Malaysia, Research Centre for Nanomaterials and Energy Technology (RCNMET), School of Engineering and Technology, Sunway University, No. 5, Jalan Universitiy, Bandar Sunway, Selangor Darul Ehsan, 47500, Malaysia

Boosting enabled efficient machine learning technique for accurate prediction of crop yield towards precision agriculture
subject: Accuracy; AdaBoost Decision Tree; Boosting, Crop Yield Prediction; Feature Selection; Gray Level Co-occurrence Matrix
description: Due to the limited availability of natural resources, it is essential that agricultural productivity keep pace with population growth. Despite unfavorable weather circumstances, this project's major objective is to boost production. As a consequence of technological advancements in agriculture, precision farming as a way for enhancing crop yields is gaining appeal and becoming more prevalent. When it comes to predicting future data, machine learning employs a number of methods, including the creation of models and the acquisition of prediction rules based on past data. In this manuscript, we examine various techniques to machine learning, as well as an automated agricultural yield projection model based on selecting the most relevant features. For the purpose of selecting features, the Grey Level Co-occurrence Matrix method is utilised. For classification, we make use of the AdaBoost Decision Tree, Artificial Neural Network (ANN), and K-Nearest Neighbour (KNN) algorithms. The data set that was used in this study is simply a compilation of information about a variety of topics, including yield, pesticide use, rainfall, and average temperature. This data collection consists of 33 characteristics or qualities in total. The crops soya beans, maze, potato, rice, paddy, wheat, and sorghum are included in this data collection. This data collection was made possible through the collaboration of the Food and Agriculture Organisation (FAO) and the World Data Bank, both of which make their data available to the public. The AdaBoost decision tree has achieved the highest level of accuracy possible when used to anticipate agricultural yield. Both the accuracy rate and the recall rate are quite high at 99 percent. The Author(s) 2024.
creator: Nagesh O.S.; Budaraju R.R.; Kulkarni S.S.; Vinay M.; Ajibade S.-S.M.; Chopra M.; Jawarneh M.; Kaliyaperumal K.
source: Discover Sustainability, Vol-5, No. 1
publisher: Springer Nature
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26629984
format: Online
language: English
type: Article
coverage: Nagesh O.S., Department of CSE, Anurag University, Hyderabad, India; Budaraju R.R., Oracle Inc., Austin, United States; Kulkarni S.S., Department of Information Technology, Sinhgad Academy of Engineering, SavitribaiPhule Pune University, Pune, India; Vinay M., Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Ajibade S.-S.M., Department of Computer Engineering, Istanbul Ticaret University, Istanbul, Turkey; Chopra M., Vivekananda Institute of Professional Studies, New Delhi, India; Jawarneh M., Faculty of Computing Sciences, Gulf College, Muscat, Oman; Kaliyaperumal K., IoT - HH Campus, AMBO University, Ambo, Ethiopia

Examining the consumption of oil on total factor productivity and CO2 emissions: an analysis of highly oil-consuming countries
subject: CO2 emission; Oil consumption; TFP; Top oil-consuming countries
description: Purpose: This study aims to examine the impact of oil consumption on carbon dioxide (CO2) emissions and total factor productivity (TFP) in highly oil-consuming countries of the world from 1995 to 2019. Design/methodology/approach: For this purpose, fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) are applied. Findings: FMOLS and DOLS models reveal that oil consumption, human capital, population, trade openness and nonrenewable energy have a significant positive effect on CO2 emissions. While information and communication technology (ICT), as proxied by mobile and natural resources, has a significant negative effect on CO2 emissions. In the case of TFP, oil consumption, ICT and natural resources have a significant positive effect on the TFP. On the other hand, trade openness, population, human capital and nonrenewable energy have a significant negative effect on TFP. The results of this study can help to provide policy recommendations to reduce CO2 emissions in studied highly oil-consuming countries of the world. Originality/value: Due to the threat to sustainable development, climate change has become a major topic for debate around the world. The influence of oil consumption on CO2 emission and TFP is less known in the available literature. Another significance of this study is that many researchers considered aggregate energy consumption to study this relationship, but the authors have studied the effect of energy consumption, particularly from oil in the top oil-consuming countries, which is a significant shortcoming of the present research. 2023, Emerald Publishing Limited.
creator: Ansari M.A.; Ahmad M.R.; Kumar P.; Yadav A.K.; Ritu R.K.
source: International Journal of Energy Sector Management, Vol-18, No. 6, pp. 1244-1262.
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17506220
format: Online
language: English
type: Article
coverage: Ansari M.A., School of Humanities and Social Sciences, GITAM Deemed University, Hyderabad, India; Ahmad M.R., Department of Economics and Finance, University of Hail, Hail, Saudi Arabia; Kumar P., Akal University, Bathinda, India; Yadav A.K., Department of Economics, CHRIST (Deemed to be University), Bangalore, India; Ritu R.K., Punjab School of Economics, Guru Nanak Dev University, Amritsar, India