Discrimination between scheduled and non-scheduled groups in access to basic services in urban India
access; basic services; discrimination; inequality; urban
Access to basic services such as water, sanitation, and electricity is a key determinant of an individuals well-being. Nevertheless, access to these services is unequally distributed among different social groups in many countries. India is no exception, with the scheduled castes (SC) and scheduled tribes (ST) being one of the countrys most marginalised and disadvantaged groups. This paper analyses the disparities in access to basic services between scheduled and non-scheduled households, investigates the factors contributing to the unequal access, and suggests policy recommendations. Using data from the National Sample Survey 76th Round, we analyse the access to basic services such as durable housing, improved water and sanitation, and access to electricity. The papers objectives are (a) to investigate the factors impacting the quality of basic service delivery in urban India separately for scheduled and non-scheduled households and (b) to quantify the discrimination between scheduled and non-scheduled households in urban India concerning access to quality of basic services through computing a comprehensive index and by using the Fairlie decomposition approach. The analysis corroborates the finding that systemic discrimination exists between scheduled and non-scheduled households in urban India regarding access to good quality basic services up to an extent of 24%. 2024 The Authors.
Journal of Water Sanitation and Hygiene for Development, Vol-14, No. 3, pp. 161-172.
https://doi.org/10.2166/washdev.2024.138 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190286077&doi=10.2166%2fwashdev.2024.138&partnerID=40&md5=535d07b9f20a144fe8e768313be03b94
Arora T., Department of Professional Studies, CHRIST (Deemed to be University), Bangalore, India; Choudhary P.K., Department of Public Policy, Manipal Academy of Higher Education, Manipal, India
Unveiling the Potential of Bacillus paramycoides, a Halotolerant Endophytic Bacterium with Heavy Metal Tolerance and Plant Growth Promotion Properties
Bacillus paramycoides; bioremediation; endophytes; heavy metals; plant growth promotion
The use of heavy metal resistant plant growth promoting endophytes is an effective method for improving crop yield and cleaning up contaminated sites. In our study, we have isolated thirteen bacterial endophytes from the shoots of Alternanthera philoxeroides, an aquatic plant from Bellandur lake, Bangalore, India. Among the isolates, Bacillus paramycoides showed significant plant growth promotion properties including an extortionate amount of indole acetic acid (IAA) production (144.69 1.01 g/mL) along with other plant growth promoting attributes like ammonia production, nitrogen fixation, phosphate, potassium solubilization, 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase and siderophore production. The isolate also demonstrated the ability to resist pathogen attacks by producing extracellular enzymes, which could have potential industrial uses. Furthermore, it displayed resistance to multiple heavy metals like chromium (Cr), copper (Cu), lead (Pb), zinc (Zn) and cadmium (Cd) as well as the ability to tolerate high salt concentrations (up to 7% NaCl). These characteristics make it an ideal candidate for promoting plant growth in stressful environments and as an effective bioremediation agent. 2024 World Researchers Associations. All rights reserved.
Research Journal of Biotechnology, Vol-19, No. 3, pp. 120-126.
https://doi.org/10.25303/1903rjbt1200126 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185577035&doi=10.25303%2f1903rjbt1200126&partnerID=40&md5=61bc31a84ad30b398895fb68a9c76c9d
Indhu P., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India; Suma S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India; Soma B., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India; Saranya J., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560029, India
Adoption and Usage of Digital Financial Services in Karnataka, India: Spatial, Gender and Age Disparities
Digital; Disparities; Financial Services; India; Technology
Financial services are digitized to widen access to finance and ensure transparency in financial transactions using technologies such as "Artificial Intelligence" (AI), "Machine Learning" (ML), "Big Data Analytics" (BDA), and "Blockchain Technology" (BT). Digital Financial Services (DFS) have increasingly been adopted by customers as the DFS are safe and secure, affordable, faster, convenient, and accessed anytime. The government and the RBI have taken many initiatives to promote DFS. Further, Digital Financial Services Providers (DFSP)-FinTech companies and formal financial institutions-come up with innovative DFS to suit the needs of the customers. As a result, DFS adoption and usage have grown multifold. The pandemic indirectly enhanced the adoption and usage of DFS. India has been the number one country in the world in real-time payments with 20.5 billion transactions in the year 2020 and DFS has not penetrated uniformly across gender, ages, and regions. Indian Institute of Finance.
Ravikumar T.; Girish S.; Lavanya D.; Murugan N.
Finance India, Vol-38, No. 1, pp. 239-254.
Ravikumar T., CHRIST (Deemed University), School of Business and Management, Dharmaram College, Post Hosur Road, Karnataka, Bangalore, 560029, India; Girish S., CHRIST (Deemed University), School of Business and Management, Dharmaram College, Post Hosur Road, Karnataka, Bangalore, 560029, India; Lavanya D., PSNA College of Engineering and Technology, Department of Management Studies, Kothandaraman Nagar, Tamil Nadu, Dindigul, 624622, India; Murugan N., PSNA College of Engineering and Technology, Department of Management Studies, Kothandaraman Nagar, Tamil Nadu, Dindigul, 624622, India
Promoting photocatalytic hydrogen evolution rates in layered graphitic carbon nitride through integrated non-noble CoB co-catalyst
Graphitic carbon nitride; Hydrogen evolution reaction; Non-noble co-catalyst; Photocatalysis; Transition-metal boride
Despite being one of the most widely studied metal-free semiconductors, graphitic carbon-nitride (gC3N4) shows meaningful photocatalytic activities only when loaded with noble-metal co-catalysts. The present work reports an alternative to noble metals in the form of cobalt boride (CoB) co-catalyst that can be easily integrated within the gC3N4 framework with facile fabrication strategies. The optimized CoB-gC3N4 composite showed ?60 times higher hydrogen generation rate compared to bare gC3N4 nanosheets, with good stability. Detailed morphological, structural, chemical, electrochemical and spectroscopic investigations revealed the key aspects of CoB-gC3N4 composite that unanimously led to higher photocatalytic activity. Computational investigations not only corroborated the experimental results but also established that the surface Co and B sites in CoB provided the most energetically favoured sites for hydrogen evolution reaction. Based on the experimental and computational investigations, a generic reaction mechanism was formulated that will prove as a guiding light for future studies on similar photocatalytic systems. 2024 The Authors
Gupta S.; Prapaitrakool C.; Bhagat B.R.; Yeh C.-L.; Dashora A.; Sirisuk A.; Patel N.; Daneu N.; Kocjan A.; Spreitzer M.; Wu J.C.S.; Krmanc M.M.
International Journal of Hydrogen Energy, Vol-60, pp. 1288-1298.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.1016/j.ijhydene.2024.02.261 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186410539&doi=10.1016%2fj.ijhydene.2024.02.261&partnerID=40&md5=971f8fc30b9d1e1adba1e48aeb512919
Gupta S., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Prapaitrakool C., Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan, Center of Excellence on Catalysis and Catalytic Reaction Engineering and Bio-Circular-Green-economy Technology & Engineering Center, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; Bhagat B.R., Physics Department, Faculty of Science, The M.S. University of Baroda, Vadodara, 390002, India; Yeh C.-L., Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan; Dashora A., Physics Department, Faculty of Science, The M.S. University of Baroda, Vadodara, 390002, India; Sirisuk A., Center of Excellence on Catalysis and Catalytic Reaction Engineering and Bio-Circular-Green-economy Technology & Engineering Center, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand; Patel N., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Daneu N., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Kocjan A., Department for Nanostructured Materials, Joef Stefan Institute, Ljubljana, Slovenia; Spreitzer M., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia; Wu J.C.S., Department of Chemical Engineering, National Taiwan University, Taipei, 10617, Taiwan; Krmanc M.M., Advanced Materials Department, Joef Stefan Institute, Jamova 39, Ljubljana, 1000, Slovenia
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
Multiwavelength spectral modelling of the candidate neutrino blazar PKS 0735+178
galaxies: active; galaxies: BL Lacertae objects: individual: PKS 0735+178; galaxies: jets
The BL Lac object PKS 0735+178 was in its historic ?-ray brightness state during 2021 December. This period also coincides with the detection of a neutrino event IC 211208A, which was localized close to the vicinity of PKS 0735+178. We carried out detailed ?-ray timing and spectral analysis of the source in three epochs: (a) quiescent state (E1), (b) moderate-activity state (E2), and (c) high-activity state (E3) coincident with the epoch of neutrino detection. During the epoch of neutrino detection (E3), we found the largest variability amplitude of 95 per cent. The ?-ray spectra corresponding to these three epochs are well fit by the power-law model and the source is found to show spectral variations with a softer when brighter trend. In epoch E3, we found the shortest flux doubling/halving time of 5.75 h. Even though the spectral energy distribution in the moderate-activity state and in the high-activity state could be modelled by the one-zone leptonic emission model, the spectral energy distribution in the quiescent state required an additional component of radiation over and above the leptonic component. Here, we show that a photomeson process was needed to explain the excess ?-ray emission in the hundreds of GeV that could not be accounted for by the synchrotron self-Compton process. 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.
Bharathan A.M.; Stalin C.S.; Sahayanathan S.; Bhattacharyya S.; Mathew B.
Monthly Notices of the Royal Astronomical Society, Vol-529, No. 4, pp. 3503-3510.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1093/mnras/stae296 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189176809&doi=10.1093%2fmnras%2fstae296&partnerID=40&md5=3ea90ebb8f1aff0614da54f207c05289
Bharathan A.M., Department of Physics and Electronics, Christ (Deemed to Be University), Bangalore, 560029, India; Stalin C.S., Indian Institute of Astrophysics, Block II, Koramangala, Bangalore, 560034, India; Sahayanathan S., Astrophysical Sciences Division, Bhabha Atomic Research Centre, Mumbai, 400085, India, Homi Bhabha National Institute, Mumbai, 400094, India; Bhattacharyya S., Astrophysical Sciences Division, Bhabha Atomic Research Centre, Mumbai, 400085, India, Homi Bhabha National Institute, Mumbai, 400094, India; Mathew B., Department of Physics and Electronics, Christ (Deemed to Be University), Bangalore, 560029, India
Study of hybrid nanofluid flow in a stationary cone-disk system with temperature-dependent fluid properties
76D05; 76R05; 80A20; 82D80; cone-disk system; hybrid nanofluid; laminar flow; Nusselt number; O267; O357; variable fluid property
Cone-disk systems find frequent use such as conical diffusers, medical devices, various rheometric, and viscosimetry applications. In this study, we investigate the three-dimensional flow of a water-based Ag-MgO hybrid nanofluid in a static cone-disk system while considering temperature-dependent fluid properties. How the variable fluid properties affect the dynamics and heat transfer features is studied by Reynoldss linearized model for variable viscosity and Chiams model for variable thermal conductivity. The single-phase nanofluid model is utilized to describe convective heat transfer in hybrid nanofluids, incorporating the experimental data. This model is developed as a coupled system of convective-diffusion equations, encompassing the conservation of momentum and the conservation of thermal energy, in conjunction with an incompressibility condition. A self-similar model is developed by the Lie-group scaling transformations, and the subsequent self-similar equations are then solved numerically. The influence of variable fluid parameters on both swirling and non-swirling flow cases is analyzed. Additionally, the Nusselt number for the disk surface is calculated. It is found that an increase in the temperature-dependent viscosity parameter enhances heat transfer characteristics in the static cone-disk system, while the thermal conductivity parameter has the opposite effect. The Author(s) 2024.
Applied Mathematics and Mechanics (English Edition), Vol-45, No. 4, pp. 677-694.
Springer Science and Business Media B.V.
John A.S., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Mahanthesh B., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India, School of Mathematical and Statistical Sciences, The University of Texas Rio Grande Valley, Edinburg, 78539, TX, United States; Lorenzini G., Department of Engineering and Architecture, University of Parma, Parma, 43124, Italy
Analyzing blockchain-based supply chain resilience strategies: resource-based perspective
Blockchain; Micro; Resource-based view; Small and medium-sized enterprises (MSMEs); Supply chain disruptions; Supply chain resilience; Textile industry
Purpose: This research tries to find the blockchain-based resilience strategies that can help the supply chains of micro, small, and medium-sized enterprises (MSMEs) to recover from the disruptions and work effectively in a resource-based view perspective. Design/methodology/approach: Eight broad strategies and 32 sub-strategies are identified from the literature review. Delphi study was carried out, and detailed discussion with 16 experts helped in finalizing these strategies. Further, the best-worst method (BWM) prioritized these strategies. Findings: The findings suggests that building social capital, improving coordination capabilities, sensitivity towards market, flexibility in process and production, reduction in process and lead time,and having a resource efficiency and redundancy are the top strategies on which the top management should focus to overcome the situations of disruptions and enhance performance of MSMEs. Practical implications: The blockchain-based strategies will enable the companies in tracing the products from the company to customers. Further, the customers will be able to identify their manufacturers, the raw materials used in manufacturing, and the life and quality of raw used materials. Altogether the textile industry will become more sensitive toward environmental practices. Originality/value: The previous research has not identified and evaluated the blockchain-based resilience strategies, and therefore this study tries to fill this gap. This study used a smaller sample from the experts, so the results may vary if the larger data set is used and hypothesis testing can be done. 2023, Emerald Publishing Limited.
Nagariya R.; Mukherjee S.; Baral M.M.; Chittipaka V.
International Journal of Productivity and Performance Management, Vol-73, No. 4, pp. 1088-1116.
https://doi.org/10.1108/IJPPM-07-2022-0330 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159714283&doi=10.1108%2fIJPPM-07-2022-0330&partnerID=40&md5=2d8e9c7e3201c32dd3cfaf15ca0df76e
Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India; Mukherjee S., Department of Operations, GITAM School of Business, GITAM, Visakhapatnam, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM, Visakhapatnam, India; Chittipaka V., School of Management, Indira Gandhi National Open University, New Delhi, India
Detection of Forest Fire Using Modified LSTM Based Feature Extraction with Waterwheel Plant Optimisation Algorithm Based VAE-GAN Model
forest fire; long short term memory; modified firefly algorithm; variational autoencoder; waterwheel plant optimization
A crucial natural resource that directly affects the ecology is forests. Forest fires have become a noteworthy problem recently as a result of both natural and man-made climatic changes. A smart city application that uses a forest fire discovery technology based on artificial intelligence is provided in order to prevent significant catastrophes. A major danger to the environment, animals, and human lives is posed by forest fires. The early detection and suppression of these fires is crucial. This work offers a thorough method for detecting forest fires using advanced deep learning (DL) algorithms. Preprocessing the forest fire dataset is the initial step in order to improve its relevance and quality. Then, to enable the model to capture the dynamic character of forest fire data, long short-term memory (LSTM) networks are used to extract useful feature from the dataset. In this work, weight optimisation in LSTM is performed using a Modified Firefly Algorithm (MFFA), which enhances the model's performance and convergence. The Variational Autoencoder Generative Adversarial Networks (VAEGAN) model is used to classify the retrieved features. Furthermore, every DL model's success depends heavily on hyperparameter optimisation. The hyperparameters of an VAEGAN model are tuned in this research using the Waterwheel Plant Optimisation Algorithm (WWPA), an optimisation technique inspired by nature. WPPA uses the idea of plant growth to properly tune the VAEGAN's parameters, assuring the network's peak fire detection performance. The outstanding accuracy (ACC) of 97.8%, precision (PR) of 97.7%, recall (RC) of 96.26%, F1-score (F1) of 97.3%, and specificity (SPEC) of 97.5% of the suggested model beats all other existing models, which is probably owing to its improved architecture and training techniques. Copyright: 2024 The authors. This piece is published by IIETA and is approved under the CC BY 4.0 license.
Aluri Y.K.; Devi V.S.A.; Chinthakunta M.; Manur M.; Jayapal P.K.; Balan G.; Lella K.K.
International Journal of Safety and Security Engineering, Vol-14, No. 2, pp. 329-340.
International Information and Engineering Technology Association
https://doi.org/10.18280/ijsse.140202 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191979067&doi=10.18280%2fijsse.140202&partnerID=40&md5=da5ab8e8345813967a68be7e906ffac2
Aluri Y.K., Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, 520007, India; Devi V.S.A., Department of Chemistry, New Horizon College of Engineering, Bengaluru, 560103, India; Chinthakunta M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Manur M., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Jayapal P.K., DiSTAP, Singapore-MIT Alliance for Research and Technology, Singapore, 138602, Singapore; Balan G., Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, 560103, India; Lella K.K., School of Computer Science and Engineering, VIT-AP University, Vijayawada, 522237, India
3D Face Reconstruction with Feature Enhancement using Bi-FPN for Forensic Analysis
3D Face Reconstruction; Bi-FPN; Flame Model; Resnet
The representation of facial features in three-dimensional space plays a pivotal role in various applications such as facial recognition, virtual reality, and digital entertainment. However, achieving high-fidelity reconstructions from two-dimensional facial images remains a challenging task, particularly in preserving fine texture details. This research addresses this problem by proposing a novel approach that leverages a combination of advanced techniques, including Resnet, Flame model, Bi-FPN, and a differential render architecture. The primary objective of this study is to enhance texture details in reconstructed 3D facial images. The integration of Bi-FPN (Bi-directional Feature Pyramid Network) enhances feature extraction and fusion across multiple scales, facilitating the preservation of texture details across different regions of the face. The objective is to accurately represent facial features from 2D images in three-dimensional space. By combining these methods, the proposed framework achieves significant improvements in preserving fine texture details and overall facial structure. Experimental results demonstrate the effectiveness of the approach, suggesting its potential for various applications such as virtual try-on and facial animation. 2024 The Authors.
Journal of Machine and Computing, Vol-4, No. 2, pp. 392-399.
John S., Department of Computer Science and Engineering, Christ University, Bangalore, India; Danti A., Department of Computer Science and Engineering, Christ University, Bangalore, India
Disentangling the association of PAH molecules with star formation
galaxies: ISM; galaxies: star formation; infrared: galaxies; ISM: molecules; ultraviolet: galaxies
Context. Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous complex molecules in the interstellar medium and are used as an indirect indicator of star formation. On the other hand, the ultraviolet (UV) emission from young massive stars directly traces the star formation activity in a galaxy. The James Webb Space Telescope (JWST), along with the UltraViolet Imaging Telescope (UVIT), opened up a new window of opportunity to better understand the properties of PAH molecules that are associated with star-forming regions. Aims. We investigate how the resolved scale properties of PAH molecules in nearby galaxies are affected by star formation. Methods. We analyzed the PAH features observed at 3.3, 7.7, and 11.3 m using F335M, F770W, and F1130W images obtained from the JWST. These images helped us identify and quantify the PAH molecules. Additionally, we used UVIT images to assess the star formation associated with these PAH-emitting regions. Our study focused on three galaxies, namely NGC 628, NGC 1365, and NGC 7496, which were selected based on the availability of both JWST and UVIT images. Bright PAH emission regions were identified in the JWST images, and their corresponding UV emission was estimated using the UVIT images. We quantified the star formation properties of these PAH emitting regions using the UVIT images. Furthermore, we investigated the relation between the star formation surface density (?SFR) and the PAH ratios to better understand the impact of star formation on the properties of PAH molecules. Results. Based on the resolved scale study of the PAH-bright regions using JWST images, we found that the fraction of ionized PAH molecules is high in the star-forming regions with high ?SFR. We observed that emission from smaller PAH molecules is higher in star-forming regions with higher ?SFR. Conclusions. Our study suggests that the PAH molecules excited by the photons from star-forming regions with higher ?SFR are dominantly smaller and ionized molecules. UV photons from the star-forming regions could be the reason for the higher fraction of the ionized PAHs. We suggest that the effect of the high temperature in the star-forming regions and the formation of smaller PAH molecules in the star-forming regions might also result in the higher emission in the F335MPAH band. The Authors 2024.
Ujjwal K.; Kartha S.S.; Akhil K.R.; Mathew B.; Subramanian S.; Sudheesh T.P.; Thomas R.
Ujjwal K., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Kartha S.S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Akhil K.R., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Subramanian S., Indian Institute of Astrophysics, Sarjapur Road, Koramangala, Bangalore, 560034, India; Sudheesh T.P., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Thomas R., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India
Uplifting and Uncanny Conversations Around Death and Dying: Qualitative Study Among Indian Adolescents and Emerging Adults
adolescents; bereavement; death education; emerging adults; grief; India
This study explores perspectives of adolescents and emerging adults on having conversations around death and dying, if there is a value in discussing death early in life, and to explore the views on likelihood of introducing death education in Indian curriculum. Using constructivist grounded theory of qualitative research, the study inquired the perspectives of adolescents and emerging adults employing semi-structured interviews. All participants showed interest in discussing the topic; they actively participated in sharing their views, something that they heard, and inquiring about cultural practices. In analyzing the interview data, mainly three themes emerged: 1. Understanding death in relation to shadow and spirit stories; 2. Existential view on death and managing grief and anxiety; 3. Social and cultural narratives into death education. This study sets out to address a gap in research among adolescents and emerging adult attitudes and opinions toward death. However, there is a need to understand barriers in normalizing conversations around death and dying in wider communities in India and further research is essential. The Author(s) 2024.
Naik N.S., Christ University, Karnataka, Bengaluru, India
Factors Influencing Data Utilization and Performance of Health Management Information Systems: A Case Study
Case study; Data Utilization; Health Management System; Healthcare
The Healthcare Management Information System (HCMIS) is a comprehensive collection of data systematically gathered at healthcare institutions to fulfill the requirements for statistical information on medical services. This research aimed to assess the use of HCMIS information and identify the elements that impact the efficiency of the medical system at the district and primary medical institution levels in Tanzania as a case study. This research was conducted in 11 districts in Tanzania and included 115 healthcare institutions. It was cross-sectional research. The data were gathered via a semi-structured survey given to healthcare professionals at the institution and district stages. The information was then recorded utilizing an observational checklist. The researchers used an analytical technique for thematic content to combine and validate the replies and findings and gather essential data. 93 healthcare institution personnel and 13 district authorities were surveyed. Approximately 61% of the facility participants said they utilized the HCMIS information, but only 39% of the district participants acknowledged consistently analyzing HCMIS information. Out of the participants from nine districts, 68% said that they regularly get feedback on the quality of their work from authority figures monthly and quarterly. The patient workload was often shown to significantly impact the efficiency of staff members in data collection and administration. Insufficient analysis and subpar use of information were prevalent in most districts and healthcare institutions in Tanzania. Inadequate human and financial resources, absence of rewards and monitoring, and lack of standard processes for data handling significantly hindered the HCMIS efficiency in Tanzania. The Research Publication, www.trp.org.in.
Neelima S.; Govindaraj M.; Subramani K.; Alkhayyat A.; Mohan C.
Indian Journal of Information Sources and Services, Vol-14, No. 2, pp. 146-152.
https://doi.org/10.51983/ijiss-2024.14.2.21 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200205537&doi=10.51983%2fijiss-2024.14.2.21&partnerID=40&md5=fbb8d362c1fb9157a6fb05298582edfd
Neelima S., Department of Information Technology, Aditya Engineering College, Surampalem, India; Govindaraj M., Department of Management Studies, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, Avadi-Vel Tech Road, Vel Nagar, Avadi, Tamil Nadu, Chennai, India; Subramani K., Senior Assistant Professor-Operations, Vignana Jyothi Institute of Management, Bachupally, Hyderabad, India; Alkhayyat A., College of Technical Engineering, The Islamic university, Najaf, Iraq; Mohan C., School of Business & Management, Christ University, India
Between Floods and Climate Change: Revisiting the Mishing Community of Majuli Island, Northeast India
adaptation; climate change; Floods; Majuli Island; Mishing; sustainable development
The transformation of monsoon rainfall patterns in India, largely attributed to climate change, is leading to more frequent and severe floods. These escalating challenges underscore the imperative of prioritising adaptive measures, given the intrinsic link between humans and climate change. This research conducted in Majuli Island, a highly vulnerable region in Indias northeast, aims to understand current adaptive strategies and assess potential risks from impending physical exposures. Empirical evidence was collected using purposive sampling in two flood-prone villages. The objective was to revisit the Mishing communitys experiences with annual flooding and climate challenges. Thematic analysis interpreted the qualitative findings. Implications for community-based adaptation and sustainable practices are discussed for future flood and climate challenges. The study emphasises strengthening ecosystem-based adaptation through multi-sectoral networking in Majuli Island, Northeast India. 2024 IOS Press BV. All rights reserved.
Asian Journal of Water, Environment and Pollution, Vol-21, No. 2, pp. 57-64.
https://doi.org/10.3233/AJW240022 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194135974&doi=10.3233%2fAJW240022&partnerID=40&md5=dc6d7f368a9444f5c80b4344fa8e6b5f
Longkumer W., Department of Sociology, Social Work CHRIST (Deemed to be University), Bengaluru, India; Kannan H., Department of Sociology, Social Work CHRIST (Deemed to be University), Bengaluru, India
Quadratic convection on the radiative flow of ternary nanofluid Gr-Ag-TiO2-H2O subjected to velocity slip and temperature jump
magnetic field; quadratic convection; stretching sheet; Ternary nanofluid; thermal radiation; viscous dissipation
This paper deals with the analysis of the flow and heat transfer performance of ternary nanofluid flowing past a stretching sheet under the influence of quadratic convection. The ternary nanofluid is formed by suspending three dierent nanoparticles, namely, titanium dioxide (TiO2), silver (Ag) and graphene (Gr) in the base fluid water (H2O). Thus, the ternary nanofluid obtained is Gr-Ag-TiO2/H2O where the hybrid nanofluid Ag-TiO2/H2O forms the base fluid for the resulting ternary nanofluid. The addition of TiO2 nanoparticles enhances the photocatalytic nature of the base fluid and makes it useful in various applications concerning the medicinal field. The presence of Gr helps in intensifying the thermal conductivity of water while the suspension of silver nanoparticles ensures chemical stability. Meanwhile, the thermophysical properties of the ternary nanofluid are mathematically defined and the system of equations that describe the flow of a ternary nanofluid past a stretching sheet is framed using dierential equations. The outcomes of this study are interpreted through graphs for velocity and temperature profiles of the ternary nanofluid. It was mainly observed that the thermal conductance of ternary nanofluid was higher than the monophase and hybrid nanofluid. Also, the presence of quadratic convection had a prominent impact on the ternary nanofluid flow. The Nusselt number was found to be greater for spherical nanoparticles and it was found to be least for blade-shaped nanoparticles. 2024 World Scientific. All rights reserved.
Puneeth V.; Anandika R.; Manjunatha S.; Makinde O.D.
International Journal of Modern Physics B, Vol-38, No. 9
Puneeth V., Department of Computational Sciences, CHRIST (Deemed to be University), Bengaluru, India; Anandika R., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Manjunatha S., Department of Sciences and Humanities, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Makinde O.D., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldanha, 7395, South Africa
Photovoltaic Power Plant Performance Improvement with Electric Vehicle Integration: Integrated Control Strategies
Control strategies; Electric Vehicles (EVs); Icos ? controller; Photovoltaic (PV); Total Harmonic Distortion (THD)
The combination of Photovoltaic (PV) systems and Electric Vehicles (EVs) holds enormous promise in an era characterized by growing environmental consciousness and sustainable energy solutions. PV technology is a clean, sustainable energy source that produces electricity by utilizing solar energy. Concurrently, EVs electrification of transportation is a critical step in the direction of lower greenhouse gas emissions and more energy efficiency. Through the use of advanced control systems, this research aims to push the boundaries of current practice in the area of PV and EV integration. Specifically, it focuses on the Icos? controller and dq controller to regulate voltage, minimize Total Harmonic Distortion (THD), and facilitate bidirectional power flow. A thorough Simulink model is created, simulating a complicated PV-EV-grid system, in order to evaluate the effectiveness of different control mechanisms. This model accommodates the unique characteristics of Plug-in Hybrid Electric Vehicles (PHEVs) and enables a detailed assessment of the percentages of voltage and current THD under different operating situations. It can handle both linear and non-linear loads. Most importantly, the studys findings showthattheTHDvaluesmeetthestrictrequirementsoutlinedinIEEE519, highlighting the efficiency of the integrated control approaches. The research not only contributes to the advancement of PV and EV technologies but also paves the way for grid-compatible, high-quality power distribution. This endeavor facilitates sustainable energy integration while simultaneously reducing the environmental footprint, making substantial strides toward a greener and more energy-efficient future. 2024 Seventh Sense Research Group
SSRG International Journal of Electrical and Electronics Engineering, Vol-11, No. 4, pp. 72-86.
Harish B.N., Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University, Karnataka, India; Surendra U., Electrical and Electronics Engineering, School of Engineering and Technology, Christ (Deemed to be University, Karnataka, India
Building trust in policing: challenges and strategy; [Construindo confian no polia: desafios e estratia]
bias police; police reforms; police training; police trust model; trust
In recent years, trust has gained significant importance when discussing the evolution of policing. This shift in focus has been acknowledged by scholars, policymakers, and law enforcement officials who are responsible for ensuring public safety. Unlike the traditional emphasis on crime reduction, there is now a shared recognition that building trust is a fundamental objective in the relationship between policing agencies and the communities they serve. This article discusses three commonly employed methods by policing agencies and their personnel to enhance public trust in the police: policy changes, police training, and citizen oversight boards. Further, it focuses to a less conventional avenue for change, which involves re-evaluating the laws enforced by the police. To achieve meaningful transformation within the police system, it is necessary not only to modify how officers perform their duties but also to examine and potentially revise the laws they are obligated to enforce. 2024 Centro Universitario de Brasilia. All rights reserved.
Revista Brasileira de Politicas Publicas, Vol-14, No. 1, pp. 402-416.
https://doi.org/10.5102/rbpp.v14i1.9155 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196819353&doi=10.5102%2frbpp.v14i1.9155&partnerID=40&md5=4a12626499f200b1add6ba2e0ac84a8f
Mukherjee B.N.; Mathew M., Christ University, India, Indian Law Institute, India
Management and Sales Forecasting of an E-commerce Information System Using Data Mining and Convolutional Neural Networks
Convolutional Neural Networks; Data Mining; E-commerce; Sales Forecasting
The exponential development of e-commerce in recent decades has enhanced convenience for individuals. Compared to the conventional business environment, e-commerce is characterized by increased dynamism and complexity, resulting in several obstacles. Data mining assists individuals in effectively addressing these difficulties. Traditional data mining cannot efficiently use big data in the power provider industry. It heavily relies on time-consuming and labor-intensive feature engineering, and the resulting model could be more easily scalable. Convolutional Neural Networks (CNN) can efficiently use vast amounts of data and autonomously extract valuable elements from the original input, resulting in increased effectiveness. This article utilizes a CNN to extract valuable insights from e-commerce information to forecast commodities sales accurately and proposes a CNN-based Sales Forecasting Model (CNN-SFM). The findings indicate that using data mining and CNN yields a high level of precision in forecasting forthcoming people buying capacity data. The correlation variable between actual usage information and projected usage information was 0.98, and the highest mean error was just 1.78%. Data mining can effectively extract hidden relevant information and forecast future consumption habits for e-commerce systems. CNN demonstrates proficiency in accurately predicting forthcoming consumption power and trends. The Research Publication.
David Winster Praveenraj D.; Prabha T.; Kalyan Ram M.; Muthusundari S.; Madeswaran A.
Indian Journal of Information Sources and Services, Vol-14, No. 2, pp. 139-145.
https://doi.org/10.51983/ijiss-2024.14.2.20 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200140267&doi=10.51983%2fijiss-2024.14.2.20&partnerID=40&md5=d1011f3662811849e94ba1c5aa726c28
David Winster Praveenraj D., School of Business and Management, Christ University, Bangalore, India; Prabha T., Department of Computer Science, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India; Kalyan Ram M., Department of Computer Science and Engineering, Aditya Engineering College, Surampalem, India; Muthusundari S., Department of Computer Science and Engineering, R.M.D. Engineering College, Kavaraipettai, India; Madeswaran A., Department of School of Business Management, Christ University, Bengaluru, India
Energy-efficient low-power LED-mediated effective photodegradation of cationic and anionic dyes by phthalocyanine-based COF sensitized ZnO photoactive material
2D COF; Cationic and anionic dyes; LED light source; Photodegradation; Phthalocyanine
The present work involves the synthesis of 2D covalent organic framework involving zinc phthalocyanine and perylene systems (2DZnPc) as low-power LED visible-light sensitizer for ZnO nanomaterial. The synthesized materials and their composites (2DZnPc@ZnO) were characterized by Fourier transform infrared spectroscopy (FTIR), powder X-ray diffraction (XRD), Scanning electron microscopy (SEM), and Solid-state diffuse reflectance spectrophotometer to understand the structure, size, morphology, and optical properties. To examine the photodegradation competence of ZnO alone and its four different composites (2DZnPc@ZnO5, 2DZnPc@ZnO10, 2DZnPc@ZnO15, and 2DZnPc@ZnO20) in the presence of the energy-efficient low-power white LED (16 W) as source of visible light, and as modular pollutants, cationic methylene violet (MV) and anionic Eosin Y (EY) dyes were employed. The effect of different parameters on photocatalytic activity such as photocatalyst dosage, interaction time, pH of dye solution, and photocatalyst re-usage is examined. The results indicate that photosensitizing ZnO with 2DZnPc improved photocatalytic performance for the photodegradation of MV and EY dyes substantially. In an optimized environment, the removal efficiency of MV and EY was found to be 98 and 92 % respectively in 90 min. 2024 Elsevier Ltd
Rajappa S.; Shivarathri P.G.; Rajappa M.H.; Devendrachari M.C.; Kotresh H.M.N.
https://doi.org/10.1016/j.poly.2024.116881 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186126851&doi=10.1016%2fj.poly.2024.116881&partnerID=40&md5=4a931ced4f3008185dd465e5f23eed88
Rajappa S., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to be University) Mysore Road, Karnataka, Bengaluru, 560074, India; Shivarathri P.G., Department of Chemistry, New Horizon College of Engineering, Outer ring road, Karnataka, Bangalore, 560103, India; Rajappa M.H., Department of Chemistry, Bapuji Institute of Engineering and Technology, Karnataka, Davanagere, 577004, India; Devendrachari M.C., Interaction Laboratory, Future Convergence Engineering, Advanced Technology Research Center, Korea University of Technology and Education, Chungcheongnam-do, Cheonan-si, 31253, South Korea; Kotresh H.M.N., Department of Chemistry, Acharya Institute of Technology, Karnataka, Bangalore, 560107, India
Algebraic graph; coset component graph; coset component signed graph
In this paper, the notion of a newly derived signed graph called a coset component graph, based on cosets of subgroups of a group is introduced. Let G be a group and H be its subgroup. Then, the coset component graph of H in G, denoted by ?cc, is a simple graph with the vertex set consisting of elements of G and two vertices say, a, b ? ?cc are adjacent if either aH = bH or Ha = Hb. A coset component signed graph of H in G is a signed graph whose edges get the sign in accordance with their inclusion in the edge set of the corresponding coset component graph. The structure and important properties of the coset component signed graphs are determined in this paper. 2024 World Scientific Publishing Company.
Discrete Mathematics, Algorithms and Applications, Vol-16, No. 3
Amreen J., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India