FISCAL PERFORMANCE OF PANCHAYATI RAJ INSTITUTIONS (PRIs): AN EMPIRICAL ANALYSIS OF THE STATE OF ANDHRA PRADESH IN PRE AND POST-BIFURCATION PERIOD
Andhra Pradesh; Financial Autonomy; Panchayati Raj Institutions
The effectiveness of democratic decentralisation depends on the financial strength and independence of the local bodies. Financial autonomy is vital to reap the full potential benefits of decentralisation as the transfer of funds, functions, and functionaries will enable local bodies to be institutes of self-governance and not just delivery mechanisms. In the context of persistent fiscal distress across the local bodies, an attempt is made to empirically examine the fiscal performance of Panchayati Raj Institutions (PRIs) in Andhra Pradesh during 2010-11 to 2017-18, i.e. pre- and post-bifurcation periods of the State. The fiscal autonomy and the revenue dependency of PRIs across all three tiers in the State during the same period was also analysed. The study finds that the fiscal autonomy of top tiers, i.e. Mandal Praja Parishads (MPPs) and Zilla Praja Parishads (ZPPs) is negligible in both periods, while Gram Panchayats showed relatively better fiscal autonomy in both periods. 2022 National Institute of Rural Development. All rights reserved.
Gontupulugu J.; Padakandla S.R.; Makeni C.
Journal of Rural Development, Vol-41, No. 3, pp. 357-372.
Gontupulugu J., Christ (Deemed to be University), Bangalore, India; Padakandla S.R., Institute of Management Technology, Hyderabad, India; Makeni C., Nagaland University, Lumami, India
Fish waste valorisation through production of biodiesel and biopolymers for sustainable development: A mini review
Biofuel; Biopolymer; Remediation; Renewable sources; Sustainability; Sustainable development
Fish processing waste accounts for one of the major classes of food waste generated worldwide in terms of the high volume of waste generated. The presence of high amounts of organic compounds (proteins: 1530 %, lipids: 520 %) in fish waste makes them highly susceptible to autolysis which when not managed properly pose adverse effects on the environment like production of offensive odor, generation of hydrogen sulfide, higher biological oxygen demand (1000 mg/L to 12,000 mg/L or even higher) (BOD), and multiplication of pathogenic bacteria. Fish waste is rich in lipids and polysaccharides that can be channelized for biodiesel and biopolymer production respectively. Biodiesel refers to the biofuel produced from transesterification of plant and animal fats. Extraction of oils from fish waste followed by transesterification reactions can yield biodiesel through a biorefinery approach. Biorefinery concept emphasizes the conversion of biomass into commercially important byproducts. Biopolymers refers to the natural polymers that can be extracted from the natural sources or produced through microbial fermentation process. Furthermore, commercially important biopolymers like chitosan and polyhydroxyalkanoates (PHAs) can be used as biorefineries. This review work presents the sequential strategies for conversion of fish waste to biodiesel, PHA and chitosan through various physicochemical and biological methods. The review also presents the existing challenges and the future in the fish waste biorefinery concept. The scope of this review is to present a broader concept of integrating fish waste biorefinery for production of multiple value added products like biodiesel and biopolymers. 2025 Elsevier Ltd
Umesh M.; Kumar V.; Priyanka K.; Kathirvel P.; Suresh S.; Santhosh A.S.
https://doi.org/10.1016/j.biteb.2025.102045 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215840797&doi=10.1016%2fj.biteb.2025.102045&partnerID=40&md5=d67e056a26a1dc512b0842592323a572
Umesh M., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Kumar V., Biomaterials & 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; Priyanka K., Department of Microbial Biotechnology, Bharathiar University, Tamil Nadu, Coimbatore, India; Kathirvel P., Department of Microbial Biotechnology, Bharathiar University, Tamil Nadu, Coimbatore, India; Suresh S., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Santhosh A.S., Department of Life Sciences, Christ University, Karnataka, Bangalore, India
Fishing in the Troubled Waters: Fishermen Issue in IndiaSri Lanka Relations
bottom trawling; EEZ; fisheries line; IUCN; Kachchathivu; LTTE; Operation Tasha; Rameswaram; tsunami; uti possidetis juris; Wadge Bank
Indias relations with its neighbours in the maritime domain have received less scholarly attention. Those studies that deal with Indias relations with its South Asian neighbours generally touch on political security, socio-cultural and economic issues. The maritime aspect is either ignored or tucked in as a part of other dimensions. The present study attempts to fill the gap in the literature by taking up the case of Sri Lanka. Sri Lanka is chosen as a case, not only because the island state is Indias closest maritime neighbour but also due to the existence of deep interactions between the two countries in diverse fields both at governmental and non-governmental levels. In the maritime domain, in the present context, technically speaking, there is no problem between the two countries. However, the fishermen issue remains one of the issues principally because of the Tamil Nadu factor. Analysing the issue in five phases, the study argues for a comprehensive approach for its settlement.1. 2018, 2018 Indian Council of World Affairs.
India Quarterly, Vol-74, No. 1, pp. 73-91.
Manoharan N., Deemed to be University, Bengaluru, India; Deshpande M., Department of International Studies and History, Christ University, Bangalore, India
FITNESS TRAINERS PHYSICAL ATTRACTIVENESS AND GYM GOERS EXERCISE INTENTION
exercise intention; fitness; perceived traits; physical attractiveness; sports marketing
In line with the law of attraction, physical attractiveness has been widely used in marketing as well as advertising due to its potency in persuading consumers to take action. However, would physical attractiveness of a fitness trainer influence gym goers intention to exercise? This question motivated this research. Based on recent literature reviews, several research constructs were identified to form a research framework to investigate the physical attractiveness phenomena in the fitness industry. Hypothetically, the impact of the physical attractiveness of a fitness trainer on gym goers exercise intention is postulated to be mediated by trainers perceived expertise, trustworthiness, likeability and perceived health. Questionnaires were administered among gym-goers from 10 randomly selected fitness centres across three districts of Melaka State in Malaysia, and 192 final sample data were obtained. Data analysis reveals fitness trainers perceived expertise and likeability significantly mediates the relationship between the physical attractiveness of fitness trainers and gym goers exercise intention. Physical attractiveness of fitness trainers does impact the exercise intention of gym goers indirectly. Implications of the findings to theory and practice are also discussed in this paper, as well as suggestions for future studies. 2022, Universiti Malaysia Sarawak. All rights reserved.
Soekmawati; Nathan R.J.; Tan P.-K.; Victor V.
International Journal of Business and Society, Vol-23, No. 1, pp. 496-517.
https://doi.org/10.33736/ijbs.4627.2022 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129198068&doi=10.33736%2fijbs.4627.2022&partnerID=40&md5=83329b71cb07fb9204d9ac7ca73aac43
Soekmawati, Faculty of Business, Multimedia University, Malaysia; Nathan R.J., Faculty of Business, Multimedia University, Malaysia; Tan P.-K., Faculty of Business, Multimedia University, Malaysia; Victor V., Department of Economics, CHRIST (Deemed to be University), India, College of Business and Economics, University of Johannesburg, South Africa
Fixed points in n-gonal graphical b-metric spaces under contractive conditions
graphical b-metric space; graphical contraction; N-gonal metric space
In this paper, we will define a new metric space called n-gonal graphical b-metric space. We will also prove some fixed point theorems in said metric space and give suitable examples to illustrate our results. These results will help to solve many nonlinear convex models in machine learning and optimization by formulating them in fixed point schemes of optimization. Our paper opens the door for researchers to work in the intersecting area of machine learning and functional analysis in the frame work of n-gonal graphical b-metric space. 2023 World Scientific Publishing Company.
Raza U.; Anwar M.S.; Ali H.; Puneeth V.; Irfan M.; Hussain Z.
International Journal of Modern Physics B, Vol-37, No. 4
Raza U., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Anwar M.S., Department of Mathematics, University of Jhang, Jhang, 35200, Pakistan; Ali H., Department of Sciences and Humanities, National University of Computer and Emerging Sciences (FAST), Chiniot, 35400, Pakistan; Puneeth V., Department of Computational Science, Christ (Deemed to Be University), Ghaziabad, 201003, India; Irfan M., Department of Mathematical Sciences, Federal Urdu University of Arts Sciences & Technology, Islamabad, 44000, Pakistan; Hussain Z., Department of Mathematics, University of Baltistan, Skardu, Pakistan
FL-XGBTC: federated learning inspired with XG-boost tuned classifier for YouTube spam content detection
Character; Classifiers; Federated learning; Ham; Machine learning YouTube; NLP; Sentiment analysis; Spam
The problem of spam content in YouTube comments is an ongoing issue, and detecting such content is a critical task to maintain the quality of user experience on the platform. In this study, we propose a Federated Learning Inspired XG-Boost Tuned Classifier, FL-XGBTC, for YouTube spam content detection. The proposed model leverages the advantages of federated learning, which enables the training of a model collaboratively across multiple devices without sharing raw data. The FL-XGBTC model is based on the XGBoost algorithm, which is a powerful and widely used ensemble learning algorithm for classification tasks. The proposed model was trained on a large and diverse dataset of YouTube comments, which includes both spam and non-spam comments. The results demonstrate that the FL-XGBTC model achieved a high level of accuracy in detecting spam content in YouTube comments, outperforming several baseline models. Additionally, the proposed model provides the benefit of preserving user privacy, which is a critical consideration in modern machine-learning applications. Overall, the proposed Federated Learning Inspired XG-Boost Tuned Classifier provides a promising solution for YouTube spam content detection that leverages the benefits of federated learning and ensemble learning algorithms. The major contribution of this work is to demonstrate and propose a framework for showing a distributed federated classifier for the multiscale classification of youtube spam comments using the Ensemble learning method. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024.
Sharma V.; Sinha A.; Alkhayyat A.; Agarwal A.; Nikitha P.; Ramkumar S.; Rathee T.; Bhargavi M.; Kumar N.
International Journal of System Assurance Engineering and Management, Vol-15, No. 10, pp. 4923-4946.
Sharma V., Computer Science Department, Christ University, Bengaluru, India; Sinha A., Computer Science Department, ICFAI Tech School, ICFAI University, Ranchi, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq; Agarwal A., Dept of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Tamil Nadu, Krishnankoil, Virudhunagar, India; Nikitha P., Dept of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Tamil Nadu, Krishnankoil, Virudhunagar, India; Ramkumar S., Dept of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Tamil Nadu, Krishnankoil, Virudhunagar, India; Rathee T., Department of Information Technology, Maharaja Surajmal Institute of Technology, New Delhi, India; Bhargavi M., Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India; Kumar N., Lovely Professional University, PB, Phagwara, India
Flares during eclipses of high-mass X-ray binary systems Vela X-1, 4U 1700?37, and LMC X-4
4U 1700?37; pulsars: general; stars: neutron; X-rays: binaries; X-rays: individual: LMC X-4, Vela X-1
In eclipsing X-ray binary systems, the direct X-ray emission is blocked by the companion star during the eclipse. We observe only reprocessed emission that contains clues about the environment of the compact object and its chemical composition, ionization levels, etc. We have found flares in some X-ray binaries during their eclipses. The study of eclipse flares provides additional clues regarding the size of the reprocessing region and helps distinguish between different components of the X-ray spectrum observed during the eclipse. In the archival data, we searched for flares during eclipses of high-mass X-ray binaries and found flares in three sources: Vela X-1, LMC X-4, and 4U 1700?37. Comparing spectral properties of the eclipse flare and non-flare data, we found changes in the power-law photon index in all three sources and multiple emission lines in Vela X-1 and 4U 1700-37. The fluxes of prominent emission lines showed a similar increase as the overall X-ray flux during the eclipse flare, suggesting the lines originate in the binary environment and not in the interstellar medium. We also observed a soft excess in 4U 1700-37 that remains unchanged during both eclipse flare and non-flare states. Our analysis suggests that this emission originates from the extremely thin shell of the stellar wind surrounding the photosphere of its companion star. The detection of short (100200 s) count-rate doubling time-scale in 4U 1700?37 and LMC X-4 indicates that the eclipse reprocessing occurs in a region larger than, but comparable to the size of the companion star. 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.
Rikame K.; Paul B.; Sharma R.; Jithesh V.; Paul K.T.
Monthly Notices of the Royal Astronomical Society, Vol-529, No. 4, pp. 3360-3371.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1093/mnras/stae739 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188789243&doi=10.1093%2fmnras%2fstae739&partnerID=40&md5=6691a398e44c3d2031b1bf8baf3b5278
Rikame K., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India, Raman Research Institute, Astronomy and Astrophysics, C.V. Raman Avenue, Karnataka, Bangalore, 560080, India; Paul B., Raman Research Institute, Astronomy and Astrophysics, C.V. Raman Avenue, Karnataka, Bangalore, 560080, India; Sharma R., Raman Research Institute, Astronomy and Astrophysics, C.V. Raman Avenue, Karnataka, Bangalore, 560080, India; Jithesh V., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Paul K.T., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
Flat Unglazed Transpired Solar Collector: Performance Probability Prediction Approach Using Monte Carlo Simulation Technique
Monte Carlo simulation; probability prediction; solar energy; unglazed transpired solar collector (UTC)
Engineering applications including food processing, wastewater treatment, home heating, commercial heating, and institutional heating successfully use unglazed transpired solar collectors (UTCs). Trapping of solar energy is the prime goal of developing an unglazed transpired solar collector. The UTC is usually developed in and around the walls of the building and absorbs the solar energy to heat the air. One of the key challenges faced by the UTC designer is the prediction of performance and its warranty under uncertain operating conditions of flow variables. Some of the flow features are the velocity distribution, plate temperature, exit temperature and perforation location. The objective of the present study was to establish correlations among these flow features and demonstrate a method of predicting the performance of the UTC. Hence, a correlation matrix was generated from the dataset prepared after solving the airflow over a perforated flat UTC. Further, both strong and weak correlations of flow features were captured through Pearsons correlation coefficient. A comparison between the outcomes from a linear regression model and that of computational simulation was showcased. The performance probability for the UTC was interlinked with correlation matrix data. The Monte Carlo simulation was used to predict the performance from random values of the flow parameters. The study showed that the difference between the free stream value of temperature and the value of temperature inside the UTCs chamber varied between 15 and 20 C. The probability of achieving system efficiency greater than 35% was 55.2%. This has raised the hope of recommending the UTC for drying and heating where the required temperature differential is within 20 C. 2022 by the authors.
Parimita Panigrahi S.; Kumar Maharana S.; Rajashekaraiah T.; Gopalashetty R.; Sharifpur M.; Ahmadi M.H.; Saleel C.A.; Abbas M.
https://doi.org/10.3390/en15238843 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143800353&doi=10.3390%2fen15238843&partnerID=40&md5=67f70b318a0104182317ee56f4d99c4d
Parimita Panigrahi S., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Kumar Maharana S., Department of Aeronautical Engineering, Acharya Institute of Technology, Karnataka, Bangalore, 560107, India; Rajashekaraiah T., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Gopalashetty R., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Sharifpur M., Department of Mechanical and Aeronautical Engineering, University of Pretoria, Hatfield, 0028, South Africa, Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 404327, Taiwan; Ahmadi M.H., Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, 3619995161, Iran; Saleel C.A., Department of Mechanical Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha, 61421, Saudi Arabia; Abbas M., Electrical Engineering Department, College of Engineering, King Khalid University, P.O. Box 394, Abha, 61421, Saudi Arabia, Electronics and Communications Department, College of Engineering, Delta University for Science and Technology, Gamasa, 35712, Egypt
Flavonoids as Potential Anti-Inflammatory Molecules: A Review
anti-inflammation; flavonoids; natural products; phenolic compounds; phytochemicals
Hydroxylated polyphenols, also called flavonoids, are richly present in vegetables, fruits, cereals, nuts, herbs, seeds, stems, and flowers of numerous plants. They possess numerous medicinal properties such as antioxidant, anti-cancer, anti-microbial, neuroprotective, and anti-inflammation. Studies show that flavonoids activate antioxidant pathways that render an anti-inflammatory effect. They inhibit the secretions of enzymes such as lysozymes and ?-glucuronidase and inhibit the secretion of arachidonic acid, which reduces inflammatory reactions. Flavonoids such as quercetin, genistein, apigenin, kaempferol, and epigallocatechin 3-gallate modulate the expression and activation of a cytokine such as interleukin-1beta (IL-1?), Tumor necrosis factor-alpha (TNF-?), interleukin-6 (IL-6), and interleukin-8 (IL-8); regulate the gene expression of many pro-inflammatory molecules such s nuclear factor kappa-light chain enhancer of activated B cells (NF-?B), activator protein-1 (AP-1), intercellular adhesion molecule-1 (ICAM), vascular cell adhesion molecule-1 (VCAM), and E-selectins; and also inhibits inducible nitric oxide (NO) synthase, cyclooxygenase-2, and lipoxygenase, which are pro-inflammatory enzymes. Understanding the anti-inflammatory action of flavonoids provides better treatment options, including coronavirus disease 2019 (COVID-19)-induced inflammation, inflammatory bowel disease, obstructive pulmonary disorder, arthritis, Alzheimers disease, cardiovascular disease, atherosclerosis, and cancer. This review highlights the sources, biochemical activities, and role of flavonoids in enhancing human health. 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Al-Khayri J.M.; Sahana G.R.; Nagella P.; Joseph B.V.; Alessa F.M.; Al-Mssallem M.Q.
ISSN: 14203049; PubMed ID: 35566252; CODEN: MOLEF
https://doi.org/10.3390/molecules27092901 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130039738&doi=10.3390%2fmolecules27092901&partnerID=40&md5=027774fdf6c2c4c741cd8b31d3323f6c
Al-Khayri J.M., Department of Plant Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Sahana G.R., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Joseph B.V., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bangalore, 560029, India; Alessa F.M., Department of Food Science and Nutrition, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia; Al-Mssallem M.Q., Department of Food Science and Nutrition, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia
Flavonol based surface modification of doped chalcogenide nanoflakes as an ultrasensitive fluorescence probe for Al3+ ion
Al3+ detection; Chelation enhanced fluorescence (CHEF); Fluorescence enhancement; Morin
A highly selective novel fluorescent probe was prepared by using surface modified ZnS:Mn nanoparticles, functionalized with morin, a flavonol. SEM investigations of the heterostructures prepared using wet chemical precipitation technique revealed a nanoflake type of morphology. HR-TEM and powder XRD analysis confirmed the crystalline planes corresponding to Wurtzite ZnS. The functionalized nanoparticles were characterized using Raman, XPS and FTIR which confirms the binding of morin to the nanoparticles via surface coordination. The prepared probe selectively interacts with Al3+ ions which has been used as an ultrasensitive analytical tool for determination of Al3+ ions. A major advantage of the proposed method is that the other metal ions closely associated with Al3+ did not interfere with the analysis. The detection limit and the quantitation limit were found to be 0.07 nM and 0.20 nM respectively with a linear dynamic range 0.20 nM80 nM. The method was successfully applied to environmental water samples and other complex matrices. 2017 Elsevier B.V.
Analytica Chimica Acta, Vol-992, pp. 94-104.
ISSN: 32670; PubMed ID: 29054154; CODEN: ACACA
https://doi.org/10.1016/j.aca.2017.08.045 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029548167&doi=10.1016%2fj.aca.2017.08.045&partnerID=40&md5=19eea2de3a21668b170efde2e0d43e04
Sasitharan K., Department of chemistry, Christ University, Bangalore, 560 029, India; Varghese A., Department of chemistry, Christ University, Bangalore, 560 029, India; George L., Department of chemistry, Christ University, Bangalore, 560 029, India
Flexible and cost-effective cryptographic encryption algorithm for securing unencrypted database files at rest and in transit
2-Levels of Non-Datafiles Encryption (NDE); Database configuration files encryption; Database internal files encryption; New database encryption method; Non-datafiles encryption
To prevent unauthorized access to the databases and to ensure that the data of the databases is protected from intruders and insiders, the data is being encrypted at the storage locations. The same goal is achieved with Transparent Data Encryption, a feature that can be found in almost all database products. However, it has been observed that the non-datafiles are being ignored and there is no standard encryption for them like there is for datafiles. Moreover, there was no standard algorithm to encrypt them without relying on third-party tools. Therefore, This study provides a robust algorithm to perform the encryption. This presentation also describes the importance of non-datafiles encryption, and how some non-datafiles can pose a threat to data and infrastructure without encryption. The practical implementation of the non-data file encryption algorithm shows the authentic results. Further, unlike existing algorithms, the proposed algorithm gives the file owner full control over the encryption logic. In the encryption process, two levels of encryption logics are combined with a passcode lock, while the same combination of two levels of reversing encryption and passcode is used in the decryption process to convert encoded data back into text format. 2022 The Author(s)
https://doi.org/10.1016/j.mex.2022.101924 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142329706&doi=10.1016%2fj.mex.2022.101924&partnerID=40&md5=3cb5c7b733876beec9dc98a31f7334ff
Shaik V., Department of Computer Science & Engineering, School of Engineering & Technology, CHRIST (Deemed to be University), Bangalore, India; K D.N., Department of Computer Science & Engineering, School of Engineering & Technology, CHRIST (Deemed to be University), Bangalore, India
Flexible and sustainable dielectric materials from natural rubber and Caryota urens extract for wearable and soft electronic devices
Caryota urens extract; Dielectric properties; Flexible electronic materials; Glutaraldehyde crosslinking; Natural rubber
This study explores the structural, mechanical, and dielectric properties of natural rubber (NR) blended with Caryota urens fruit extract (CUFE), with and without glutaraldehyde (GA) crosslinking, for sustainable dielectric materials. CUFE, rich in hydroxyl groups, was incorporated at varying concentrations to improve interfacial polarization and dielectric response. FTIR confirmed successful blending and crosslinking, while SEM revealed enhanced homogeneity with CUFE and GA treatment. Mechanical tests showed improved tensile strength and elongation at break, with optimum performance at 10 wt% CUFE. GA crosslinking enhanced dimensional stability but reduced elasticity due to network formation. Dielectric analysis indicated higher capacitance and lower impedance with increasing CUFE, driven by ionic and interfacial polarization. GA-crosslinked blends exhibited superior dielectric efficiency, with lower energy loss and higher charge storage capability. With flexibility, tunable conductivity, and strong dielectric performance, NR/CUFE blends show promise for flexible capacitors, wearable electronics, sensors, and sustainable devices. 2025 Korean Physical Society
Pasha, Mohammed Zamar; Khan, Faheem Ahmed; Sudheep, N.M.; Binish, C.J.; Harisha, G.; Murugendrappa, M.V.; Kumar, KS Krishna; Johns, Jobish
Current Applied Physics;Volume;83;pp.65-78
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1016/j.cap.2025.12.004 https://www.scopus.com/pages/publications/105024310952?origin=resultslist
Pasha M.Z., Department of Electrical and Electronics Engineering, Ghousia College of Engineering, Karnataka, Ramanagaram, India; Khan F.A., Department of Electrical and Electronics Engineering, Ghousia College of Engineering, Karnataka, Ramanagaram, India, Ghousia Institute of Technology for Women, Bengaluru, India; Sudheep N.M., School of Biosciences, Mahatma Gandhi University, Kerala, Kottayam, India; Binish C.J., Department of Chemistry, CHRIST-Deemed to be University, Bangalore, 560029, India; Harisha G., Jnana Jyothi Educational Institutions, Yelahanka New Town, Bengaluru, India; Murugendrappa M.V., Department of Physics, BMS College of Engineering, Basavanagudi, Bengaluru, India; Kumar K.K., Department of Physics, Rajarajeswari College of Engineering, Mysore Road, Bengaluru, 560074, India; Johns J., Department of Physics, Rajarajeswari College of Engineering, Mysore Road, Bengaluru, 560074, India
Flexible Nanogenerators Based on Enhanced Flexoelectricity in Mn3O4 Membranes
2D materials; flexoelectric; oxide membrane
Atomically thin, few-layered membranes of oxides show unique physical and chemical properties compared to their bulk forms. Manganese oxide (Mn3O4) membranes are exfoliated from the naturally occurring mineral Hausmannite and used to make flexible, high-performance nanogenerators (NGs). An enhanced power density in the membrane NG is observed with the best-performing device showing a power density of 7.99mWm?2 compared to 1.04Wm?2 in bulk Mn3O4. A sensitivity of 108mVkPa?1 for applied forces <10N in the membrane NG is observed. The improved performance of these NGs is attributed to enhanced flexoelectric response in a few layers of Mn3O4. Using first-principles calculations, the flexoelectric coefficients of monolayer and bilayer Mn3O4 are found to be 50100 times larger than other 2D transition metal dichalcogenides (TMDCs). Using a model based on classical beam theory, an increasing activation of the bending mode with decreasing thickness of the oxide membranes is observed, which in turn leads to a large flexoelectric response. As a proof-of-concept, flexible NGs using exfoliated Mn3O4 membranes are made and used in self-powered paper-based devices. This research paves the way for the exploration of few-layered membranes of other centrosymmetric oxides for application as energy harvesters. 2023 Wiley-VCH GmbH.
Chowde Gowda C.; Cavin J.; Kumbhakar P.; Tiwary C.S.; Mishra R.
ISSN: 16136810; PubMed ID: 38152930; CODEN: SMALB
https://doi.org/10.1002/smll.202307167 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180670361&doi=10.1002%2fsmll.202307167&partnerID=40&md5=4e0864f08a1af5e5ebd686a5552da9cb
Chowde Gowda C., School of Nano Science and Technology, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India; Cavin J., Department of Physics, Washington University in St. Louis, St. Louis, 63130, MO, United States; Kumbhakar P., Metallurgical and Materials Engineering, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India, Department of Physics and Electronics, Christ University, Karnataka, Bangalore, 560029, India; Tiwary C.S., School of Nano Science and Technology, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India, Metallurgical and Materials Engineering, Indian Institute of Technology, West Bengal, Kharagpur, 721302, India; Mishra R., Department of Physics, Washington University in St. Louis, St. Louis, 63130, MO, United States, Department of Mechanical Engineering & Materials Science, and Institute of Materials Science & Engineering, Washington University in St. Louis, St. Louis, 63130, MO, United States
Flexible Ni-Zn aqueous battery based on Ni?S?/NiO composite cathode with high energy-density and durability
Flexible battery; High flexibility and durability; Nanotextured SS mesh; Ni3S2/NiO composite nanowire
The development of high-performance flexible aqueous zinc batteries requires innovative manufacturing protocols, suitable electrode composition and large area, three-dimensional architecture that results in exceptional electrochemical properties even under mechanical deformation. This work presents a unique approach for synthesizing flexible alkaline Ni-Zn batteries utilizing Ni?S?/NiO composite cathode over highly flexible and durable micro/nano-textured stainless steel mesh with excellent electrochemical performance. The binder-free composite cathode was developed through nickel electrodeposition followed by hydrothermal processing to create Ni?S?/NiO composite nanowires. The innovative anode design employs zinc composite coated on a pressed copper foam, significantly outperforming conventional zinc foil configuration. The Ni3S2/NiO/SSE composite cathode delivers an impressive specific capacity of 452 mAh/g, demonstrating excellent electrochemical properties at the electrode level. This advanced electrode architecture also enables the assembled device to showcase outstanding performance, delivering 316 mAh/g specific capacity at 1 A/g, a remarkable energy density of 553 Wh/kg, and exceptional power density of 11.19 kW/kg, substantially exceeding most reported aqueous zinc battery systems. Further, the device maintains stable electrochemical performance across various bending conditions, demonstrating superior mechanical flexibility essential for the advanced electronics and flexible energy storage applications. 2025 Elsevier B.V.
Kumar, Kapil; Thomas, Arpit; Kumar, Arunesh; Arora, Harpreet Singh
Journal of Alloys and Compounds;Volume;1048;Issue;;Article No.;185288;
https://doi.org/10.1016/j.jallcom.2025.185288 https://www.scopus.com/pages/publications/105023077424?origin=resultslist
Kumar K., Department of Mechanical Engineering, Shiv Nadar Institution of Eminence Delhi NCR, Deemed to be University, UP, 201310, India; Thomas A., Department of Mechanical Engineering, Shiv Nadar Institution of Eminence Delhi NCR, Deemed to be University, UP, 201310, India, Centre for Inter-Disciplinary Research and Innovation, University of Petroleum and Energy Studies, Bidholi Via-Prem Nagar, Dehradun, 248007, India; Kumar A., Department of Mechanical Engineering, Shiv Nadar Institution of Eminence Delhi NCR, Deemed to be University, UP, 201310, India; Arora H.S., Department of Mechanical Engineering, Shiv Nadar Institution of Eminence Delhi NCR, Deemed to be University, UP, 201310, India
Flexible polymer composite films incorporated with Li-ion/reduced graphene oxide: excellent optical and photoluminescence performance
Energy bandgap; Photoluminescence; Polystyrene sulfonic acid; Reduced graphene oxide (rGO)
A flexible polymer composite film (PL-rGO) was prepared from reduced graphene oxide (rGO) (derived from graphite) and lithium phosphate (Li3PO4) incorporated in a pale yellow colored polystyrene sulfonic acid (PSSA) polymer by solution casting method. The resulting flexible translucent PL-rGO composite films were obtained with smooth surface and thickness in the range of 23m. The optical and photoluminescence properties of PL-rGO were explored in the present study. The intensity of photoluminescence spectra at excitation band ? 320nm increases with significant broadening with varying concentration of rGO in the matrix. The evaluated direct and indirect energy bandgap of PL-rGO composite from optical absorbance is in the range of 3.06 ~ 3.26eV. These results from optical properties for PL-rGO composite indicate the accurate tailoring of the composite by changing the rGO volume fraction. 2019, King Abdulaziz City for Science and Technology.
Applied Nanoscience (Switzerland), Vol-10, No. 2, pp. 401-410.
Springer Science and Business Media Deutschland GmbH
Pandey M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India
Flexible Teaching - Learning Systems in Indian Higher Education System through Technology - A Study on Demographic Impact
International Journal of Computer Application Vol. 5, Issue 2, pp 178-182, ISSN No. 2250-1797
International Journal of Computer Application
Flexural performance of FDM-fabricated PLA composites reinforced with short carbon fiber
Flexural Strength; Fracture Mechanisms; Fused Deposition Modelling; PLA Composites; Short Carbon Fiber
Adding short carbon fiber reinforcement to thermoplastic matrices can improve the mechanical performance of additively manufactured polymer-based composites. This work examines the flexural behavior of Fused Deposition Modeling (FDM)-produced polylactic acid (PLA)-based composites enhanced by short carbon fibers at 3 wt% and 6 wt%. For comparison, unreinforced PLA specimens were also fabricated under identical processing conditions. All the samples were tested for flexural strength using a three-point bend test, following the ASTM standards for polymer composites. The results showed a clear improvement in strength as the reinforcement content increased. The PLA composite with the 3% short carbon fiber reinforcement showed a noticeable increase in load-bearing ability, while the 6% reinforced composite had an impressive 88% higher flexural strength than the plain PLA. To examine how the materials failed, SEM has been utilized to assess the samples' fractured surfaces. 2026, Gruppo Italiano Frattura. All rights reserved.
Keshavamurthy, R.; Yogaraju, Raghu; Kumar, G S Pradeep; Biradar, Mallikarjun; Pavan, Kumar B.; Kumar, S. Mohan; Thomas, Shijo
Fracture and Structural Integrity;Volume;20;Issue;77;pp.217-229
https://doi.org/10.3221/IGF-ESIS.77.13 https://www.scopus.com/pages/publications/105037816980?origin=resultslist
Keshavamurthy R., Department of Automotive Technology, Christ University, Bangalore, 560074, India; Yogaraju R., Department of Mechanical Engineering, B. M. S College of Engineering, Bengaluru, 560004, India; Kumar G.S.P., Department of Automotive Technology, Christ University, Bangalore, 560074, India; Biradar M., Department of Mechanical Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore, 560082, India; Pavan K.B., Department of Mechanical Engineering, Ballari Institute of Technology and Management, Ballari, 583104, India; Kumar S.M., Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, 560035, India; Thomas S., Department of Automotive Technology, Christ University, Bangalore, 560074, India
Flight Arrival Delay Prediction Using Deep Learning
Decision Tree; Deep learning; Dense Neural Network; Lasso; NAS; Random Forest; Regression; Ridge; RMSE (Root Mean Square Error)
This project is aimed to solve the problem of flight delay prediction. This problem does not only affect airlines but it can cause multiple problems in different sectors i.e., commercial (Cargo aviation), passenger aviation, etc. There are a number of reasons why flights can be delayed, with weather being the main one. Our goal in this study is to forecast flight delays resulting from a variety of reasons, such as inclement weather, delayed aircraft, and other issues. The dataset gives itemized data on flight appearances and postponements for U.S. air terminals, classified via transporters. The information incorporates metrics such as the number of arriving flights, delays over 15 minutes, cancellation and diversion counts, and the breakdown of delays attributed to carriers, weather, NAS (National Airspace System), security, and late aircraft arrivals. For the purpose of predicting flight delays, the outcomes of several machine learning algorithms are examined, including Ridge, Lasso, Random Forest, Decision Tree, and Linear regression. With the lowest RMSE score of 0.0024, the Random Forest regressor performed the best across all scenarios. A deep learning model using a dense neural network is built to check how accurate a deep learning model will be while predicting the delay and the result was an RMSE score of 0.1357. 2024 IEEE.
TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
Institute of Electrical and Electronics Engineers Inc.
Sharma N., Christ (Deemed to Be University), Department of Data Science, Maharashtra, Pune, India; Vijayalakshmi S., Christ (Deemed to Be University), Department of Data Science, Maharashtra, Pune, India
Flipped Classroom Strategy in Online Teaching: Challenges Faced by Higher Education Teachers
COVID-19; Flipped classroom; Higher education; Online learning; Teacher efficacy
Flipped classroom model has gained increasing interest among university teachers in recent years [1] (Stohr et al.). The reason for its popularity is attributed to its bearing on Vygotskys constructivism theory and for the student centered approach [2] (Ziling Xu et al.). Countries in the world are affected by COVID-19 including India. Hence higher education institutes have begun their online classes. Flipped classroom teaching has been quite prevalent in Indian higher education recently. Online class initiation from higher education institutes in India has pushed faculty members to teach online and faculty have begun flipped classroom teaching online. Flipped classroom teaching in online differs from the face to face mode. There are challenges and issues while using flipped classroom in online mode by the faculty members of higher education. This leads to the present study to find out the challenges of flipped classroom teaching in online mode by teachers of higher education. The present study adopted qualitative research method. Structured interviews and focus group discussion were conducted to answer the research question. Study was able to discuss the challenges of flipped classroom in online mode. These challenges are to be dealt with by the stake holders to bring teaching efficacy. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Prakasha G.S.; Muttungal P.; Lapina M.; Taran V.
Lecture Notes in Networks and Systems, Vol-1222 LNNS, pp. 241-253.
Prakasha G.S., Christ University, Bangalore, India; Muttungal P., Christ University, Bangalore, India; Lapina M., North-Caucasus Federal University, Stavropol, Russian Federation; Taran V., V.I. Vernadsky Crimean Federal University, Simferopol, Russian Federation
Prakasha, G.S.; Muttungal, Peter; Lapina, Maria; Taran, Viktoriya
Lecture Notes in Networks and Systems;Volume;1222 LNNS;pp.241-253
https://doi.org/10.1007/978-3-031-78776-8_24 https://www.scopus.com/pages/publications/85215512236?origin=resultslist