HHO-Based Vector Quantization Technique for Biomedical Image Compression in Cloud Computing
subject: Biomedical image processing; cloud computing; data compression; HHO algorithm; LBG; vector quantization
description: In the present digital era, the exploitation of medical technologies and massive generation of medical data using different imaging modalities, adequate storage, management, and transmission of biomedical images necessitate image compression techniques. Vector quantization (VQ) is an effective image compression approach, and the widely employed VQ technique is Linde-Buzo-Gray (LBG), which generates local optimum codebooks for image compression. The codebook construction is treated as an optimization issue solved with utilization of metaheuristic optimization techniques. In this view, this paper designs an effective biomedical image compression technique in the cloud computing (CC) environment using Harris Hawks Optimization (HHO)-based LBG techniques. The HHO-LBG algorithm achieves a smooth transition among exploration as well as exploitation. To investigate the better performance of the HHO-LBG technique, an extensive set of simulations was carried out on benchmark biomedical images. The proposed HHO-LBG technique has accomplished promising results in terms of compression performance and reconstructed image quality. 2023 World Scientific Publishing Company.
creator: Kumar T.S.; Jothilakshmi S.; James B.C.; Prakash M.; Arulkumar N.; Rekha C.
source: International Journal of Image and Graphics, Vol-23, No. 3
publisher: World Scientific
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2194678
format: Online
language: English
type: Article
coverage: Kumar T.S., Department of CSE, BMS Institute of Technology and Management, Bengaluru, India; Jothilakshmi S., The American College, Madurai, India; James B.C., Angeles University Foundation, Angeles City, Philippines; Prakash M., Data Science and Analytics Center, Karpagam College of Engineering, Coimbatore, India; Arulkumar N., Department of CS, CHRIST (Deemed to Be University), Banglore, India; Rekha C., Department of IT, Sri Sai Ram Institute of Technology, Chennai, India

FO-DPSO Algorithm for Segmentation and Detection of Diabetic Mellitus for Ulcers
subject: diabetic wound; FO-DPSO; Foot ulcer; GLCM; Hoeffding tree; Nae Bayes
description: In recent days, the major concern for diabetic patients is foot ulcers. According to the survey, among 15 people among 100 are suffering from this foot ulcer. The wound or ulcer found which is found in diabetic patients consumes more time to heal, also required more conscious treatment. Foot ulcers may lead to deleterious danger condition and also may be the cause for loss of limb. By understanding this grim condition, this paper proposes Fractional-Order Darwinian Particle Swarm Optimization (FO-DPSO) technique for analyzing foot ulcer 2D color images. This paper deals with standard image processing, i.e. efficient segmentation using FO-DPSO algorithm and extracting textural features using Gray Level Co-occurrence Matrix (GLCM) technique. The whole effort projected results as accuracy of 91.2%, sensitivity of 100% and specificity as 96.7% for Nae Bayes classifier and accuracy of 91.2%, sensitivity of 100% and sensitivity of 79.6% for Hoeffding tree classifier. 2023 World Scientific Publishing Company.
creator: Naveen J.; Selvam S.; Selvam B.
source: International Journal of Image and Graphics, Vol-23, No. 3
publisher: World Scientific
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2194678
format: Online
language: English
type: Article
coverage: Naveen J., CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Selvam S., BNM Institute of Technology, Karnataka, Bangalore, India; Selvam B., Anna University (BIT Campus), Tamil Nadu, Tiruchirappalli, India

Multi-atlas Graph Convolutional Networks and Convolutional Recurrent Neural Networks-Based Ensemble Learning for Classification of Autism Spectrum Disorders
subject: Autism spectrum disorder; Automatic diagnosis; Deep learning; Ensemble learning; Graph convolution network
description: Autism spectrum disorder (ASD) has an influence on social conversation and interaction, as well as encouraging people to engage in repetitive behaviors. The complication begins in childhood and persists through adolescence and maturity. Autism spectrum disorder has become the most common kind of childhood development worldwide. ASD hinders the capacity to interact, socialize, and build connections with individuals of all ages, and thus its early intervention is critical. This paper discusses some of the most recent approaches to diagnostics using convolutional networks and multi-atlas graphs for autism spectrum disorders. Also, several pre-processing approaches are elaborated. Graph convolutional neural networks (GCNs) to diagnose autism spectrum disorder (ASD) because of their remarkable effectiveness in illness prediction using multi-site data. Convolutional neural network (CNN) and recurrent neural networks (RNN) infrastructure studies functional connection patterns between various brain regions to find particular patterns to diagnose ASD. In our research, we implemented the GCN + CRNN ensemble method and achieved 89.01% accuracy based on resting-state data from the fMRI (ABIDE-II), a novel framework for detecting early signs of autism spectrum disorders is presented and discussed. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
creator: Lamani M.R.; Benadit P.J.; Vaithinathan K.
source: SN Computer Science, Vol-4, No. 3
publisher: Springer
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2662995X
format: Online
language: English
type: Article
coverage: Lamani M.R., Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Benadit P.J., Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Vaithinathan K., Computer Engineering, Karaikal Polytechnic College, Varichikudy, Karaikal, India

Photoluminescence studies of non-toxic monoclinic yttrium oxide quantum dots synthesized at low temperature for live cell imaging applications
subject: Bioimaging; Intense blue emission; Low temperature; Non-toxic monoclinic yttrium oxide
description: Synthesis of monoclinic Y2O3 remains a challenging task due to complex formation conditions such as high pressure or high temperature environments. Monoclinic yttria exhibits better photoluminescence characteristics compared to the cubic phase and hence can be a better host for nanophosphors. Reports are available predicting the stability of monoclinic phase at low temperature in extremely fine particles. But experimental preparation of this phase at low temperature is not yet reported. Here we report the first-time preparation of monoclinic Y2O3 at 90 C using simple laboratory hot air oven. The synthesized nanoparticles exhibit intense PL emission in the blue region and hence can find applications in display industry. The band structure calculations were carried out using density functional theory and the excitonic Bohr radius was estimated using the electron as well as hole effective masses determined from band structure. The cytotoxicity studies reveal non-toxic nature the particles. The fluorescence imaging experiments show that the material is capable of emitting blue fluorescence in L6 skeletal cell lines and it ensures the applicability of this material in the biomedical field. 2022 Elsevier Ltd and Techna Group S.r.l.
creator: Nath S.G.; Anila E.I.
source: Ceramics International, Vol-49, No. 8, pp. 13200-13207.
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2728842; CODEN: CINND
format: Online
language: English
type: Article
coverage: Nath S.G., Optoelectronics and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Aluva, Kerala, 683102, India; Anila E.I., Optoelectronics and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Aluva, Kerala, 683102, India, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India

COVID-19 and stress of Indian youth: An association with background, on-line mode of teaching, resilience and hope
subject: COVID-19; Dimensions of hope; Dimensions of mental health; Dimensions of psychological stress; Dimensions of resilience
description: Background: COVID-19 pandemic causes serious threats to physical health and triggers wide varieties of psychological problems, including anxiety and depression. Youth exhibit a greater risk of developing psychological distress, especially during epidemics influencing their wellbeing. Objectives: To identify the relevant dimensions of psychological stress, mental health, hope and resilience and to examine the prevalence of stress in Indian youth and its relationship with socio-demographic information, online-mode of teaching, hope and resilience. Method: A cross-sectional online survey obtained information on socio-demographic background, online-mode of teaching, psychological stress, hope and resilience from the Indian youth. A Factor Analysis is also conducted on the recompenses of the Indian youth on psychological stress, mental health, hope and resilience separately to identify the major factors associated with parameters. The sample size in this study was 317, which is more than the required sample size (Tabachnik et al., 2001). Results: About 87% of the Indian youth perceived moderate to a high levels of psychological stress during the current COVID-19 pandemic. Different demographic, sociographic and psychographic segments were found to have high stress levels due to the pandemic, while psychological stress was found to be negatively correlated with resilience as well as hope. The findings identified significant dimensions of the stress caused by the pandemic and also identified the dimensions of mental health, resilience and hope among the study subjects. Conclusion: As stress has a long-term impact on human psychology and can disrupt the lives of people and as the findings suggest that the young population of the country have faced the greatest amount of stress during the pandemic, a greater need for mental health support is required to the young population, especially in post pandemic situations. The integration of online counselling and stress management p…
creator: Deb S.; Dorji N.; Kar S.; Maria Sunny A.; Deb S.; Ghosh S.; Chakraborty S.
source: Journal of Affective Disorders Reports, Vol-12
publisher: Elsevier B.V.
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 26669153
format: Online
language: English
type: Article
coverage: Deb S., Rajiv Gandhi National Institute of Youth Development, Ministry of Youth Affairs and Sports (MYAS), Government of India (GOI), Pennalur, Tamil Nadu, Sriperumbudur, 602 105, India; Dorji N., Department of Public Health, Faculty of Nursing and Public Health, KhesarGyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan; Kar S., Department of Mathematics, National Institute of Technology, West Bengal, Durgapur, India; Maria Sunny A., Faculty, Department of Applied Psychology, Rajiv Gandhi National Institute of Youth Development, Ministry of Youth Affairs and Sports (MYAS), Government of India (GOI), Pennalur, Tamil Nadu, Sriperumbudur, 602 105, India; Deb S., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, India; Ghosh S., Xavier Business School, St. Xavier's University, Kolkata, India; Chakraborty S., Xavier Business School, St. Xavier's University, Kolkata, India

Spectro-temporal and type I X-ray burst analysis of GX 3+1 using AstroSat observations
subject: accretion, accretion discs; stars: neutron; X-rays: binaries; X-rays: bursts
description: GX 3+1, an atoll type neutron star low-mass X-ray binary, was observed four times by Soft X-ray Telescope and The Large Area X-ray Proportional Counter on-board AstroSat between 2017 October 5 and 2018 August 9. The hardness-intensity-diagram of the source showed it to be in the soft spectral state during all the four observations. The spectra of the source could be adequately fit with a model consisting of blackbody (bbody) and powerlaw (powerlaw) components. This yielded the blackbody radius and mass accretion rate to be ?8 km and ?2 10?9 M? y?1, respectively. In one of the observations, a type I X-ray burst having a rise and e-folding time of 0.6 and 5.6 s, respectively, was detected. Time-resolved spectral analysis of the burst showed that the source underwent a photospheric radius expansion. The radius of the emitting blackbody in GX 3+1 and its distance were estimated to be 9.19 +?00.8297 km and 10.17 +?00.1807 kpc, respectively. Temporal analysis of the burst yielded upper limits of the fractional root mean square amplitude of 7 per cent, 5 per cent, and 6 per cent during burst start, burst maximum, and right after the radius expansion phase, respectively. 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
creator: Thomas N.T.; Gudennavar S.B.; Bubbly S.G.
source: Monthly Notices of the Royal Astronomical Society, Vol-521, No. 1, pp. 433-442.
publisher: Oxford University Press
date: 2023-01-01
rights: All Open Access; Green 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; 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

Nonlocal analysis of Rayleigh-type wave propagating in a gradient layered structure
description: The present article aims to study the propagation behavior of Rayleigh-type waves using the nonlocal theory of elasticity in a layered structure constituted of a gradient transversely isotropic stratum perfectly bonded with a gradient monoclinic substrate. At first a constitutive relation is established for the assumed layered structure. Thereafter in view of suitable boundary conditions dispersion relation for the propagation of Rayleigh-type wave is obtained by considering a complex quantity wavenumber. The obtained result well agrees with the classical result and therefore validates the present study. The phase velocities and the attenuation coefficient for the Rayleigh-type wave propagation are numerically computed for the materials CdSe and LiNbO3; and the same are illustrated graphically. A significant effect of the affecting parameters on the propagation and the attenuation curves are depicted against the wavenumber. Comparative analysis of the influence of these parameters on the propagation and attenuation of Rayleigh-type waves is marked distinctly which serves as a salient feature of the present study. The techniques utilised the present problem and the obtained results may find potential application in various aspects. 2023, The Author(s), under exclusive licence to SocietItaliana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature.
creator: Pradhan N.; Saha S.; Samal S.K.; Pramanik S.
source: European Physical Journal Plus, Vol-138, No. 5
publisher: Springer Science and Business Media Deutschland GmbH
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 21905444
format: Online
language: English
type: Article
coverage: Pradhan N., Department of Mathematics, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar, 751024, India; Saha S., Department of Mathematics, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar, 751024, India; Samal S.K., Department of Mathematics, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar, 751024, India; Pramanik S., Christ (Deemed to be University), Bangalore, 560029, India

Smart Steering Wheel for Improving Drivers Safety Using Internet of Things
subject: Arduino UNO; Driver safety; Drowsiness; EPulse sensor; Smart steering; Temperature sensor
description: Nearly 3700 people every day die on the worlds roads in collisions with trucks, cars, buses, motorcycles, bicycles, or pedestrians.The cause of accidents is drowsiness, drunk driving, breaking the speed limit, Driver health issue and rash driving. The most concept of this venture is to avoid the street mishap so we are utilizing liquor location sensor, eye flicker sensor, over speed control sensor, temperature sensor, beat sensor. To detect drowsiness, speed of the vehicle, drivers health, alcohol consumed by the driver, and rash driving status the model is installed with sensors in steering wheel and camera. The sensors will detect the physical condition of the driver and the camera module will take the live recording of the drivers face part to detect the drowsiness. Simple but effective strategies are used to improve the baseline detection/tracking algorithm and the eye-state classification algorithm, and the results are tabulated to increase the systems dependability and accuracy. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
creator: Pravinth Raja S.; Blessed Prince P.; Jeno Lovesum S.P.
source: SN Computer Science, Vol-4, No. 3
publisher: Springer
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2662995X
format: Online
language: English
type: Article
coverage: Pravinth Raja S., Department of CSE, Presidency University, Bangalore, India; Blessed Prince P., Department of CSE, Presidency University, Bangalore, India; Jeno Lovesum S.P., Department of CSE, Christ University, Bangalore, India

Option or necessity: Role of environmental education as transformative change agent
subject: Environmental concern; Environmental education; Pro-environmental behaviour; Structural equation modelling; Sustainability; Transformative learning; University
description: There is a consensus around the importance of environmental education in mitigating the ill effects of environmental problems and preserving the natural environment and promoting green behaviours. The present paper studies the role of environmental education based on transformative learning theory. It intends to present and test a model proposal using sequential mediation analysis of several constructs as the Environmental Education Support (EES) and Volunteer Attitude (VA). A quantitative study was carried out by using data obtained through online questionnaires from several Indian and Brazilian Higher Education Institutions. A multivariate statistical method was employed to analyse the data by using partial least squares structural equation modelling. The results demonstrated that environmental education positively influences students environmental concern, willingness to be environmentally friendly, and volunteer attitude. As a novelty, it reports that environmental education beliefs, concern for the environment and willingness to be environmentally friendly sequentially mediate the relationship between environmental education support and volunteering attitude. 2023 Elsevier Ltd
creator: Sharma N.; Pa A.; Upadhyay D.
source: Evaluation and Program Planning, Vol-97
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 1497189; PubMed ID: 36716606; CODEN: EPPLD
format: Online
language: English
type: Article
coverage: Sharma N., International Management Institute New Delhi, India; Pa A., Universidade da Beira Interior, NECE-UBI (Research Centre for Business Sciences), R. Marqu D'ila e Bolama, Covilh 6201-001, Portugal; Upadhyay D., School of Commerce, Finance & Accountancy, CHRIST (Deemed to be University), Bangalore, India

Social Identity of Kodavas Understanding Evolution and Transitions
subject: grounded theory; kodava; social identity
description: The Kodavas of Kodagu district in Karnataka have a distinct social structure and follow a set of unique social codes and values peculiar to the community. Various influences have resulted in shifting social identities, which maybe a potential indicator of an identity crisis within the group. The present study follows a Constructivist Grounded Theory approach to inquiry, to arrive at an analytical schema of the process of social identity formation of the Kodavas. The analysis of data collected from forty-one middle and older adults, highlight the core traditional attributes of the Kodava identity, factors contributing to identity transition and its reflection in contemporary times. 2023 Tata Institute of Social Sciences. All rights reserved.
creator: Hema M.A.; Singh J.K.
source: Indian Journal of Social Work, Vol-84, No. 2, pp. 203-222.
publisher: Tata Institute of Social Sciences
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 195634
format: Online
language: English
type: Article
coverage: Hema M.A., Department of Psychology, School of Humanities and Social Sciences, CHRIST, Deemed-to-be University, NCR, Delhi, India; Singh J.K., Defence Institute of Psychological Research (DIPR), Defence Research and Development Organisation (DRDO), New Delhi, India

One-Pot Synthesis of Silver Nanoparticles Derived from Aqueous Leaf Extract of Ageratum conyzoides and Their Biological Efficacy
subject: Ageratum conyzoides; antibacterial; antidiabetic; FE-SEM; HR-TEM; silver nanoparticles
description: The main objective of the present research work is to assess the biological properties of the aqueous plant extract (ACAE) synthesised silver nanoparticles from the herbal plant Ageratum conyzoides, and their biological applications. The silver nanoparticle syntheses from Ageratum conyzoides (Ac-AgNPs) were optimised with different parameters, such as pH (2, 4, 6, 8 and 10) and varied silver nitrate concentration (1 mM and 5 mM). Based on the UVvis spectroscopy analysis of the synthesised silver nanoparticles, the concentration of 5 mM with the pH at 8 was recorded as the peak reduction at 400 nm; and these conditions were optimized were used for further studies. The results of the FE-SEM analysis recorded the size ranges (~3090 nm), and irregular spherical and triangular shapes of the AC-AgNPs were captured. The characterization reports of the HR-TEM investigation of AC-AgNPs were also in line with the FE-SEM studies. The antibacterial efficacies of AC-AgNPs have revealed the maximum zone of inhibition against S. typhi to be within 20 mm. The in vitro antiplasmodial activity of AC-AgNPs is shown to have an effective antiplasmodial property (IC50:17.65 ?g/mL), whereas AgNO3 has shown a minimum level of IC50: value 68.03 ?g/mL, and the Ac-AE showed >100 ?g/mL at 24 h of parasitaemia suppression. The ?-amylase inhibitory properties of AC-AgNPs have revealed a maximum inhibition similar to the control Acarbose (IC50: 10.87 ?g/mL). The antioxidant activity of the AC-AgNPs have revealed a better property (87.86% 0.56, 85.95% 1.02 and 90.11 0.29%) when compared with the Ac-AE and standard in all the three different tests, such as DPPH, FRAP and H2O2 scavenging assay, respectively. The current research work might be a baseline for the future drug expansion process in the area of nano-drug design, and its applications also has a lot of economic viability and is a safer method in synthesising or producing silver nanoparticles. 2023 by the authors.
creator: Paramasivam D.; Balasubramanian B.; Suresh R.; Kumaravelu J.; Vellingiri M.M.; Liu W.-C.; Meyyazhagan A.; Alanazi A.M.; Rengasamy K.R.R.; Arumugam V.A.
source: Antibiotics, Vol-12, No. 4
publisher: MDPI
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 20796382
format: Online
language: English
type: Article
coverage: Paramasivam D., Department of Life Science, Kristu Jayanti College (Autonomous), Affiliated to Bengaluru North University, Karnataka, Bengaluru, 560077, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Suresh R., PG and Research Department of Biotechnology, Dr. N.G.P. Arts and Science College, Autonomous and Affiliated to Bharathiar University, Tamil Nadu, Coimbatore, 641048, India; Kumaravelu J., Department of Microbiology and Biotechnology, Bharth Institute of Higher Education and Research, Agharam Road Selaiyur, Tamil Nadu, Chennai, 600073, India; Vellingiri M.M., Department of Biotechnology, Rathnavel Subramaniam College of Arts and Science, Tamil Nadu, Coimbatore, 641402, India; Liu W.-C., College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, China; Meyyazhagan A., Department of Life Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560076, India; Alanazi A.M., Pharmaceutical Chemistry Department, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia; Rengasamy K.R.R., Laboratory of Natural Products and Medicinal Chemistry (LNPMC), Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil Nadu, Chennai, 600077, India; Arumugam V.A., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, 641046, India

A phenomenological exploration of Indian women's body image within intersecting identities in a globalizing nation
subject: Body dissatisfaction; Body image; Globalization; Indian women; Intersectionality; Phenomenology
description: The goal of the study was to examine Indian women's body image experiences utilizing an intersectional framework. Using phenomenological method, the study attempted to explore how experiences of gender oppression intersect with salient social identities to produce experiences of body dissatisfaction in Indian women. Thirty-Five Indian women in the age group 1840 years participated in semi-structured interviews. Overall, women experienced and discussed their bodies in terms of physical features they liked and disliked. Three themes emerged that comprised body image experiences of Indian women- (a) Beautiful, thin and fair- three social imperatives for women, (b) Internalization and (c) Body image management. Each of these impacted women negatively and contributed to greater body monitoring, increased indulgence in unhealthy behaviours and heightened body dissatisfaction. Women also discussed coping techniques for managing such experiences. Researchers and practitioners are encouraged to take into account culturally constructed beauty norms and unique socio-cultural factors for Indian women that determine body image. Findings are interpreted in the context of evolving socio-cultural norms that have recolonised Indian women's embodiment in a globalizing nation. 2023 Elsevier Ltd
creator: Verma A.; Ray S.
source: Women's Studies International Forum, Vol-98
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2775395
format: Online
language: English
type: Article
coverage: Verma A., Jindal School of Psychology & Counseling, OP Jindal Global University, Sonipat, India; Ray S., CHRIST (Deemed to be University)

Smart city initiatives and disaster resilience of cities through spatial planning in Pune city, India
subject: Disaster Risk Reduction; Smart Cities; Spatial Planning; Urban Resilience; Urban Risks
description: Cities are attracting populations at alarming rate. Cities provide the need of populations in every way from livelihoods to livability. In doing so it is exhausting its resources resulting in increasing threats of risk. An initiative like Smart City Mission is aiming to enhance the capacities of the cities to increase livability and quality of life for its population and decrease threats of risk. This study examines the impact of smart city initiatives on resilience to earthquakes and floods through a spatial planning perspective for the city of Pune in State of Maharashtra through series of structured interviews with key stakeholders. The findings suggest that smart city initiative is still in its primary stage and requires assimilation with the development strategy to contribute to the resilience of the city. The study further proposes the need to integrate the smart city initiative with all the current and future developmental projects. 2023, World Research Association. All rights reserved.
creator: Sujata K.; Mani S.K.; Guru B.
source: Disaster Advances, Vol-16, No. 5, pp. 29-37.
publisher: World Research Association
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 0974262X
format: Online
language: English
type: Article
coverage: Sujata K., School of Disaster Studies, Tata Institute of Social Sciences, Mumbai, India; Mani S.K., Department of Civil Engineering, CHRIST (Deemed to be University), Bangalore, India; Guru B., Department of Geology, School of Earth Sciences, Central University of Tamil Nadu, Thiruvarur, India

Spontaneous hydrogen production using gadolinium telluride
subject: Inorganic materials; Materials chemistry; Materials science
description: Developing materials for controlled hydrogen production through water splitting is one of the most promising ways to meet current energy demand. Here, we demonstrate spontaneous and green production of hydrogen at high evolution rate using gadolinium telluride (GdTe) under ambient conditions. The spent materials can be reused after melting, which regain the original activity of the pristine sample. The phase formation and reusability are supported by the thermodynamics calculations. The theoretical calculation reveals ultralow activation energy for hydrogen production using GdTe caused by charge transfer from Te to Gd. Production of highly pure and instantaneous hydrogen by GdTe could accelerate green and sustainable energy conversion technologies. 2023
creator: Kumbhakar P.; Parui A.; Dhakar S.; Paliwal M.; Behera R.; Gautam A.R.S.; Roy S.; Ajayan P.M.; Sharma S.; Singh A.K.; Tiwary C.S.
source: iScience, Vol-26, No. 4
publisher: Elsevier Inc.
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 25890042
format: Online
language: English
type: Article
coverage: Kumbhakar P., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Parui A., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Dhakar S., Department of Chemistry, Indian Institute of Technology Gandhinagar, Gandhinagar, 382355, India; Paliwal M., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India; Behera R., Materials Engineering, Indian Institute of Technology, Gandhinagar, 382355, India; Gautam A.R.S., Materials Engineering, Indian Institute of Technology, Gandhinagar, 382355, India; Roy S., Department of Materials Science and NanoEngineering, Rice University, Houston, 77005, TX, United States; Ajayan P.M., Department of Materials Science and NanoEngineering, Rice University, Houston, 77005, TX, United States; Sharma S., Department of Chemistry, Indian Institute of Technology Gandhinagar, Gandhinagar, 382355, India; Singh A.K., Materials Research Centre, Indian Institute of Science, Karnataka, Bangalore, 560012, India; Tiwary C.S., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India

Intensity of hospital waste generation and disposal in the selected hospitals in Kerala, India: an analysis based on hospital ownership
subject: Disposal; Hospital waste generation rate; Hospital waste management; Ownership-wise; Treatment
description: Management of hospital wastes has been considered as an integral part of hospital hygiene and infection control, which in turn depends on the intensity of waste generation and disposal. This study analyses the ownership-wise intensities of hospital waste generated, treated and disposed in the selected hospitals in the state of Kerala, India. These intensities are examined using secondary data collected from four districts of Kerala for the period from 2010 to 2014. The intensity of hospital waste generation is measured on the basis of per bed per kilogram per day and also per patient per kilogram per day basis. The study shows that private hospitals are producing significantly higher amount of waste than government and co-operative hospitals. However, private hospitals are found to be more efficient compared to government hospitals in treating and disposing the hospital waste. It is also found that the co-operative hospitals are well-organized in treating and disposing the liquid waste compared with other hospitals in Kerala. 2023, The Author(s), under exclusive licence to Springer Nature Japan KK, part of Springer Nature.
creator: Savitha K.L.; Joseph T.J.
source: Journal of Material Cycles and Waste Management, Vol-25, No. 3, pp. 1760-1770.
publisher: Springer
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 14384957
format: Online
language: English
type: Article
coverage: Savitha K.L., Department of Economics, Christ University, Yeshwanthpur Campus, Bangalore, 560058, India; Joseph T.J., Department of Economics, Central University of Kerala, Kerala, Kasaragod, India

Biomass derived carbon quantum dots embedded PEDOT/CFP electrode for the electrochemical detection of phloroglucinol
subject: Biomass-derived; Carbon quantum dots; Conducting polymer; Electrochemical sensor; Phloroglucinol; Pollutant
description: Carbon nanocomposites have garnered a lot of attention among various nanomaterials due to their distinct characteristics, such as large surface area, biocompatibility, and concise synthetic routes. They are also a viable contender for electrochemical applications, notably sensing, due to their intriguing electrochemical features, which include large electroactive surface area, outstanding electrical conductivity, electrocatalytic activity, and high porosity and adsorption capability. Herein, an electrochemical sensor for phloroglucinol (PL) was designed using a CFP electrode modified with biomass-derived carbon quantum dots (S-CQD) doped on conducting organic polymer poly(3,4-ethylene dioxythiophene) (PEDOT) via electrodeposition method. The obtained nanocomposite (S-CQD+PEDOT) on the CFP electrode possesses a high surface area. The higher electrocatalytic activity of S-CQD and significant conductivity of PEDOT- modified electrode enhance the electrocatalytic activity for the phloroglucinol oxidation. The oxidation peak current of PL shows a higher response on the finally modified electrode than the other electrodes. The developed electrochemical sensor for the selective and sensitive detection of PL showed a good linear range of 36 -360 nM and a detection limit of 11 nM. The modified electrodes were characterized using Transmission electron spectroscopy (TEM), Fourier Transform infrared spectroscopy (FT-IR), and X-ray photon spectroscopy (XPS). Finally, the developed method was successfully used to detect Phloroglucinol from industrial effluents with RSD (0.841.02%) and (98.5101.2%) of recovery. 2023
creator: Keerthana P.; George A.; Benny L.; Varghese A.
source: Electrochimica Acta, Vol-448
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 134686; CODEN: ELCAA
format: Online
language: English
type: Article
coverage: Keerthana P., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; George A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Benny L., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India

Experimental analysis and RSM-based optimization of friction stir welding joints made of the alloys AA6101 and C11000
subject: aluminium alloys; friction stir welding; RSM; ultimate tensile strength
description: In the present study, the evaluation of FSW input parameters on output response ultimate tensile strength (UTS) of the friction stir welded AA6101-C11000 joint is in agreement. The response surface methodology (RSM) was adapted for generating the mathematical regression equation to predict the UTS and to develop the FSW parameters to attain the highest UTS of the FSW joints. The central composite design (CCD) method from RSM with five levels and three factors, i.e., tool rotational speed, feed rate, and tool offset used to conduct and minimize the number of tests. During FSW, base sheet cu (hard metal) was stationed on the advancing side (+1 mm, +1.68 mm tool offset) and the base sheet Al (soft metal) on the retreating side (?1 mm, ?1.68 mm tool offset). The radiography studies were accomplished to inspect the internal flaws of the FSW joints (Al-Cu).The XRD and SEM investigation of the ruptured specimens during the tensile test to evaluate the IMCs phase anatomy and fracture analysis. The maximum UTS value measured during the experimental work was 142.69 MPa at 1000 rpm, 40 mm min?1, and ?1.68 mm tool offset. The highest joint efficiency obtained was 82% compared with the AA6101 UTS value. RSM adapted for this work was 92% accurate and satisfactory. 2023 The Author(s). Published by IOP Publishing Ltd.
creator: Pratap Kumar J.; Raj A.; Kulandaivel A.; Kumar L.; Mohanavel V.; Ravichandran M.; Rout I.; Prasath S.
source: Materials Research Express, Vol-10, No. 5
publisher: Institute of Physics
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 20531591
format: Online
language: English
type: Article
coverage: Pratap Kumar J., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Raj A., Department of Mechanical and Automobile Engineering School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Kulandaivel A., Department of Mechanical Engineering, Agni College of Technology, Tamil Nadu, Chennai, 600130, India; Kumar L., Department of Mechanical Engineering, Sona College of Technology, Tamilnadu, Salem, India; Mohanavel V., Centre for Materials Engineering and Regenerative Medicine, Bharath Institute of Higher Education and Research, Chennai, 600073, India, Department of Mechanical Engineering, Chandigarh University, Punjab, Mohali, 140413, India; Ravichandran M., Department of Mechanical Engineering, K Ramakrishnan College of Engineering, Tamil Nadu, Trichy, India, Department of Mechanical Engineering, University Centre for Research & Development, Chandigarh University, Punjab, India; Rout I., Department of Mechanical and Automobile Engineering School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Prasath S., Department of Mechanical Engineering, College of Engineering and Technology, Mizan Tepi University, Ethiopia

Automated Brain Imaging Diagnosis and Classification Model using Rat Swarm Optimization with Deep Learning based Capsule Network
subject: Brain tumor; capsule network; Deep learning; image segmentation; medical imaging; Rat swarm optimizer
description: Earlier identification of brain tumor (BT) is essential to increase the survival rate of the patients. The commonly used imaging technique for BT diagnosis is magnetic resonance imaging (MRI). Automated BT classification model is required for assisting the radiologists to save time and enhance efficiency. The classification of BT is difficult owing to the non-uniform shapes of tumors and location of tumors in the brain. Therefore, deep learning (DL) models can be employed for the effective identification, prediction, and diagnosis of diseases. In this view, this paper presents an automated BT diagnosis using rat swarm optimization (RSO) with deep learning based capsule network (DLCN) model, named RSO-DLCN model. The presented RSO-DLCN model involves bilateral filtering (BF) based preprocessing to enhance the quality of the MRI. Besides, non-iterative grabcut based segmentation (NIGCS) technique is applied to detect the affected tumor regions. In addition, DLCN model based feature extractor with RSO algorithm based parameter optimization processes takes place. Finally, extreme learning machine with stacked autoencoder (ELM-SA) based classifier is employed for the effective classification of BT. For validating the BT diagnostic performance of the presented RSO-DLCN model, an extensive set of simulations were carried out and the results are inspected under diverse dimensions. The simulation outcome demonstrated the promising results of the RSO-DLCN model on BT diagnosis with the sensitivity of 98.4%, specificity of 99%, and accuracy of 98.7%. 2023 World Scientific Publishing Company.
creator: Vasantharaj A.; Rani P.S.; Huque S.; Raghuram K.S.; Ganeshkumar R.; Shafi S.N.
source: International Journal of Image and Graphics, Vol-23, No. 3
publisher: World Scientific
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2194678
format: Online
language: English
type: Article
coverage: Vasantharaj A., Department of ECE, Excel Engineering College (Autonomous), Namakkal Tamil Nadu, India; Rani P.S., Department of CSE, R.M.D Engineering College, Tamil Nadu, Chennai, India; Huque S., Department of CSE, Guru Nanak Institutions Technical Campus, Telangana, Hyderabad, India; Raghuram K.S., Department of Mechanical Engineering, Vignan's Institute of Information Technology(A), Andhra Pradesh, Visakhapatnam, India; Ganeshkumar R., Department of CSE, School of Engineering and Technology, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, India; Shafi S.N., Department of Computer Science, Institute of Technology, Woldia University, Ethiopia

AI-based wavelet and stacked deep learning architecture for detecting coronavirus (COVID-19) from chest X-ray images
subject: Accuracy; COVID-19; DarkNet19; Data augmentation; Deep learning; Discrete wavelet transform; ResNet50; VGG19; WavStaCovNet-19; X-ray images; Xception
description: A novel coronavirus (COVID-19), belonging to a family of severe acute respiratory syndrome coronavirus 2 (SARs-CoV-2), was identified in Wuhan city, Hubei, China, in November 2019. The disease had already infected more than 681.529665 million people as of March 13, 2023. Hence, early detection and diagnosis of COVID-19 are essential. For this purpose, radiologists use medical images such as X-ray and computed tomography (CT) images for the diagnosis of COVID-19. It is very difficult for researchers to help radiologists to do automatic diagnoses by using traditional image processing methods. Therefore, a novel artificial intelligence (AI)-based deep learning model to detect COVID-19 from chest X-ray images is proposed. The proposed work uses a wavelet and stacked deep learning architecture (ResNet50, VGG19, Xception, and DarkNet19) named WavStaCovNet-19 to detect COVID-19 from chest X-ray images automatically. The proposed work has been tested on two publicly available datasets and achieved an accuracy of 94.24% and 96.10% on 4 classes and 3 classes, respectively. From the experimental results, we believe that the proposed work can surely be useful in the healthcare domain to detect COVID-19 with less time and cost, and with higher accuracy. 2023 Elsevier Ltd
creator: Soundrapandiyan R.; Naidu H.; Karuppiah M.; Maheswari M.; Poonia R.C.
source: Computers and Electrical Engineering, Vol-108
publisher: Elsevier Ltd
date: 2023-01-01
rights: All Open Access; Green Open Access
relation: ISSN: 457906; CODEN: CPEEB
format: Online
language: English
type: Article
coverage: Soundrapandiyan R., School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, India; Naidu H., ServiceNow, Telangana, Hyderabad, 500081, India; Karuppiah M., School of Computer Science and Engineering & Information Science, Presidency University, Karnataka, Bengaluru, 560064, India; Maheswari M., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, 600119, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India

Modeling Environmentally Conscious Purchase Behavior: Examining the Role of Ethical Obligation and Green Self-Identity
subject: environment-friendly products; ethical obligation; green products; green purchase behavior; green self-identity; theory of planned behavior
description: Due to environmental degradation, using environment-friendly products has become necessary to reduce carbon emissions. However, the consumption of such products is still below expectations because these products are usually costlier than their traditional counterparts. The current study aims to investigate consumer behavior towards environment-friendly products using Ajzens theory of planned behavior as a theoretical model. The study seeks to examine the role of the key determinates of environmentally conscious purchase behavior, such as ethical obligation and green self-identity. A total of 386 responses were collected from consumers living in a few major cities of northern India using purposive sampling. The data were analyzed using structural equation modeling in Amos 22.0. The results demonstrated that attitudes towards environment-friendly products perceived behavioral control and green self-identity as the major determinants of green purchase intentions. In addition, attitude was reported to mediate the effect of ethical obligation on green purchase intentions and green self-identity was found to moderate the effect of attitude on green purchase intentions. Additionally, green self-identity was also reported to moderate the relationship between ethical obligation and attitude. The study adds value to the existing literature by signifying the role of green self-identity and ethical obligation in stimulating consumers green purchase intentions. The findings of the study are also meaningful for marketers and policymakers. 2023 by the authors.
creator: Kumar R.; Kumar K.; Singh R.; SJ.C.; Carvalho S.; Santos G.
source: Sustainability (Switzerland), Vol-15, No. 8
publisher: MDPI
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 20711050
format: Online
language: English
type: Article
coverage: Kumar R., School of Management Studies, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, 211004, India; Kumar K., School of Business and Management, Christ (Deemed to be University), NCR Campus, Ghaziabad, 201003, India; Singh R., Institute of Business Management, GLA University, Mathura, 281406, India; SJ.C., School of Engineering (ISEP), Polytechnic of Porto, Rua Dr. Antio Bernardino de Almeida 431, Porto, 4200-072, Portugal; Carvalho S., Technological School, 2AiApplied Artificial Intelligence Laboratory Polytechnic Institute of Cavado and Ave, Barcelos, 4750-810, Portugal; Santos G., Design School, Polytechnic Institute Cavado Ave, Campus do IPCA, Barcelos, 4750-810, Portugal