Polycystic ovary syndrome: An exploration of unmarried women's knowledge and attitudes
Awareness; Health and health care behaviours; Lifestyle; Polycystic ovary syndrome; Regular menstrual cycles
Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder among women of reproductive age and a chief cause of subfertility attributed to ovulation. Besides, lack of knowledge about PCOS, its treatment, and lifestyle changes influence the prognosis. The present qualitative inquiry investigates the knowledge and attitudes of unmarried women towards the syndrome, associated treatment, and necessary lifestyle changes in the fight against the same. A total of 15 participants with PCOS were selected using purposive sampling (n from southern parts of India viz. Kerala and Tamil Nadu states. The telephonic interviews were conducted in late November and early December 2020. He conventional content analysis emerged with six major themes. The themes capsulated women's knowledge, causes, complications and risk factors, treatment of PCOS their perceived importance of health promotive behaviours such as physical activity, sleep patterns, and perceived support from society. The importance of diet, exercise and a healthy lifestyle were additional relevant factors stressed by the respondents. Although the medicines helped participants attain regular menstrual cycles, they also had side effects reported in the discussion. Few respondents reported that they lacked the necessary awareness of PCOS when diagnosed at a younger age. The study enhances the understanding of PCOS from a qualitative approach that has cultural relevance apart from pertinent clinical and lifestyle implications. 2022 The Author(s)
Rajkumar E.; Ardra A.; Prabhu G.; Pandey V.; Sundaramoorthy J.; Manzoor R.; Sooraj K.V.; Manikandaprabu M.; Badiger T.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1016/j.heliyon.2022.e09835 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133697140&doi=10.1016%2fj.heliyon.2022.e09835&partnerID=40&md5=4bf53ed33a4ab2409a23d7bf628a873f
Rajkumar E., Department of Psychology, Central University of Karnataka, Kalaburagi, India; Ardra A., Department of Psychology, Central University of Karnataka, Kalaburagi, India; Prabhu G., Department of Psychology, Central University of Karnataka, Kalaburagi, India; Pandey V., Department of Psychology, Central University of Karnataka, Kalaburagi, India; Sundaramoorthy J., Department of Psychology, Central University of Punjab, Bhatindha, India; Manzoor R., Department of Social Work, University of Science and Technology, Meghalaya, India; Sooraj K.V., Children and Police, State Resource Centre Social Policing, Directorate of Kerala Police, Trivandrum, India; Manikandaprabu M., Department of Psychology, Christ (Deemed to be University) Bannerughatta, Bengaluru, India; Badiger T., Department of Social Work, Central University of Karnataka, Kalaburagi, India
Reading Patterns, Engagement Style and Theory of Mind
Literary fiction; Reading patterns; Short story task; Theory of mind
Theory of mind (TOM) refers to a set of abilities which enables understanding of mental states including beliefs, emotions and intentions of self and others. The purpose of this paper is to study the effect of different reading patterns including frequency of reading fiction and genre preference on TOM performance. It also aims to compare the accuracy of TOM performance under explicit goal directed and non-directed reading conditions. To achieve this objective, a sample of 72 Indian college students were randomly allocated to two groups and were evaluated on the Reading the Mind in the Eyes Test (RMET) and the Short Story Task (SST). The two groups differed with respect to task instructions aimed at mobilizing different manner of engagement (goal directed and nondirected) with the prose in the SST. The individual reading habits and preferences of all the participants were recorded by a self report questionnaire. Scores on the novel SST showed significant positive correlation with RMET scores. No significant difference in TOM performance with respect to the different engagement styles was found, indicating that TOM abilities function continuously and equally effectively when being used in goal directed and nondirected conditions. Notably, participants who reported to prefer literary fiction performed significantly better on the SST task than the participants who prefer popular fiction. This positive link between literary fiction and TOM has important implications in clinical and developmental fields and necessitates further research. 2021, National Academy of Psychology (NAOP) India.
Psychological Studies, Vol-67, No. 2, pp. 252-260.
Das A., Christ (Deemed To Be University), Bengaluru, India; Vasudevan M.H., Christ (Deemed To Be University), Bengaluru, India
The catalytic reduction of 4-nitrophenol using MoS2/ZnO nanocomposite
4-nitrophenol; Catalytic reduction; Molybdenum disulfide; Nanocomposite; Zinc oxide
Nanocomposite MoS2/ZnO was prepared by an exfoliation process and characterized. A flower-like morphology was obtained for the hybrid where uniformly spread ZnO is stacked over thin layers of MoS2. A tight interface between the two components coupled with the energy band bending at the junction has resulted in a high activity of the composite towards the reduction of 4-nitrophenol. A complete reduction to 4-aminophenol from 4-nitrophenol took place within 15 min under the optimized conditions. The catalyst has a recyclability of six times without any perceptible decrease in the catalytic activity. 2022 The Author(s)
R M.; UC J.R.J.; Pinheiro D.; Devi KR S.
Applied Surface Science Advances, Vol-10
https://doi.org/10.1016/j.apsadv.2022.100265 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131737355&doi=10.1016%2fj.apsadv.2022.100265&partnerID=40&md5=578bc8e4872cde7ddd00fb227215891c
R M., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; UC J.R.J., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Devi KR S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
HTLML: Hybrid AI Based Model for Detection of Alzheimers Disease
Alzheimers disease; convolutional neural network; deep learning; DenseNet121; DenseNet201; gaussian NB; SVM; XGBoost
Alzheimers disease (AD) is a degenerative condition of the brain that affects the memory and reasoning abilities of patients. Memory is steadily wiped out by this condition, which gradually affects the brains ability to think, recall, and form intentions. In order to properly identify this disease, a variety of manual imaging modalities including CT, MRI, PET, etc. are being used. These methods, however, are time-consuming and troublesome in the context of early diagnostics. This is why deep learning models have been devised that are less time-intensive, require less high-tech hardware or human interaction, continue to improve in performance, and are useful for the prediction of AD, which can also be verified by experimental results obtained by doctors in medical institutions or health care facilities. In this paper, we propose a hybrid-based AI-based model that includes the combination of both transfer learning (TL) and permutation-based machine learning (ML) voting classifier in terms of two basic phases. In the first phase of implementation, it comprises two TL-based models: namely, DenseNet-121 and Densenet-201 for features extraction, whereas in the second phase of implementation, it carries out three different ML classifiers like SVM, Nae base and XGBoost for classification purposes. The final classifier outcomes are evaluated by means of permutations of the voting mechanism. The proposed model achieved accuracy of 91.75%, specificity of 96.5%, and an F1-score of 90.25. The dataset used for training was obtained from Kaggle and contains 6200 photos, including 896 images classified as mildly demented, 64 images classified as moderately demented, 3200 images classified as non-demented, and 1966 images classified as extremely mildly demented. The results show that the suggested model outperforms current state-of-the-art models. These models could be used to generate therapeutically viable methods for detecting AD in MRI images based on these results for clinical prospective. 2022 by the authors.
Sharma S.; Gupta S.; Gupta D.; Altameem A.; Saudagar A.K.J.; Poonia R.C.; Nayak S.R.
Multidisciplinary Digital Publishing Institute (MDPI)
https://doi.org/10.3390/diagnostics12081833 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137409992&doi=10.3390%2fdiagnostics12081833&partnerID=40&md5=680d23a1518edb0ddfde64f60f0bff6d
Sharma S., Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Gupta S., Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Gupta D., Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Nayak S.R., Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, 201301, India
Generalized Ricci solitons on Riemannian manifolds admitting concurrent-recurrent vector field
Conformal vector field; Generalized Ricci soliton; Gradient generalized Ricci soliton
Let (M,g) be a Riemannian manifold admitting a concurrent-recurrent vector field ?. We prove that if the metric g is a generalized Ricci soliton such that the potential field V is a conformal vector field, then M is Einstein. Next we show that if the metric of M is a gradient generalized Ricci soliton, then either of these three occurs: (i) ?? is invariant along gradient of potential function; (ii) M is Einstein; (iii) the potential vector field is pointwise collinear to concurrent-recurrent vector field ?. Finally, we investigate gradient generalized Ricci soliton on a Riemannian manifold (M,g) admitting a unit parallel vector field, and in this case we show that if g is a non-steady gradient generalized Ricci soliton, then the Ricci tensor satisfies Ric=-??{g-?????}, where ?? is the canonical 1-form associated to ?. 2022, The Author(s), under exclusive licence to The Forum DAnalystes.
Journal of Analysis, Vol-30, No. 3, pp. 1023-1031.
Springer Science and Business Media B.V.
Naik D.M., Department of Mathematics, Centre for Mathematical Needs, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Kumara H.A., Department of Mathematics, Kuvempu University, Karnataka, Shivamogga, 577451, India; Venkatesha V., Department of Mathematics, Kuvempu University, Karnataka, Shivamogga, 577451, India
Ar-HGSO: Autoregressive-Henry Gas Sailfish Optimization enabled deep learning model for diabetic retinopathy detection and severity level classification
Deep Convolutional Neural Network; Diabetic retinopathy; Entropy Weighted and kernalized Power k-Means Clustering; Henry Gas Solubility Optimization model; Shepard Convolutional Neural network
Diabetic Retinopathy (DR) is one the most important problems of diabetics and it directs to the main cause of blindness. When proper treatment is afforded for DR patients, almost 90% of patients are protected from visual damage. DR does not produce any symptoms at the initial phase of the disease, thus various physical assessments, namely pupil dilation, visual acuity test, and so on are needed for DR disease detection. It is more complex to detect the DR during manual testing, because of the variations and complications of DR. The early detection and appropriate treatment assist to prevent vision loss for DR patients. Thus, it is very indispensable to categorize the levels and severity of DR for recommendation of essential treatment. In this paper, Autoregressive-Henry Gas Sailfish Optimization (Ar-HGSO)-based deep learning technique is proposed for DR detection and severity level classification of DR and Macular Edema (ME) based on color fundus images. The segmentation process is more essential for proper detection and classification process, which segments the image into various subgroups. The Deep Learning approach is utilized for effective identification of DR and severity classification of DR and ME. Moreover, the deep learning technique is trained by the designed Ar-HGSO scheme for obtaining better performance. The performance of the devised technique is evaluated using the IDRID dataset and DDR dataset. The introduced Ar-HGSO-based deep learning approach obtained better performance than other existing DR detection and classification techniques with regards to testing accuracy, sensitivity, and specificity of 0.9142, 0.9254, and 0.9142 using the IDRID dataset. 2022 Elsevier Ltd
Elwin J.G.R.; Mandala J.; Maram B.; Kumar R.R.
Biomedical Signal Processing and Control, Vol-77
https://doi.org/10.1016/j.bspc.2022.103712 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130616233&doi=10.1016%2fj.bspc.2022.103712&partnerID=40&md5=e21a62bf8dd88d76f44b1c203bc8a056
Elwin J.G.R., Associate Professor, Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India; Mandala J., Department of Computer Science and Engineering, Christ University, Bangalore, India; Maram B., Associate Professor, Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Himachal Pradesh, India; Kumar R.R., Professor, Department of Information Technology, Sri Krishna College Technology, Coimbatore, India
Cross-language contributions of rapid automatized naming to reading accuracy and fluency in young adults: evidence from eight languages representing different writing systems
Bilingual; Cross-language transfer; Rapid automatized naming; Reading; Writing system
Rapid automatized naming (RAN) is a strong predictor of reading across languages. However, it remains unclear if the effects of RAN in first language (L1) transfer to reading in second language (L2) and if the results vary as a function of the orthographic proximity of L1L2. To fill this gap in the literature, we examined the role of RAN in reading accuracy and fluency in eight languages representing different writing systems. Seven hundred and thirty-five university students (85 Chinese-, 84 Japanese-, 100 Kannada-, 40 Oriya-, 115 English-, 115 Arabic-, 105 Portuguese-, and 91 Spanish-speaking) participated in our study. They were assessed on RAN (Digits and Objects) and reading (accuracy and fluency) in both L1 and L2 (English). Results of hierarchical regression analyses showed significant effects of L1 RAN on L2 reading accuracy in the Chinese-, Portuguese-, and Spanish-speaking groups. In addition, L2 RAN was a significant predictor of reading fluency in L1 in the same language groups. No cross-language transfer was observed in the other languages. These findings suggest first that L1 and L2 RAN capture similar processes and controlling for one does not leave unique variance for the other to explain. Second, to the extent there is cross-language transfer of RAN skills, this appears to be independent of the orthographic proximity of the languages. 2021, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
Georgiou G.K.; Cardoso-Martins C.; Das J.P.; Falc A.; Hosokawa M.; Inoue T.; Li Y.; Martinez D.; Padakannaya P.; Parrila R.; Pollo T.C.; Salha S.S.; Samantaray S.; Shu H.; Tanji T.; Tibi S.; Vieira A.P.A.
Journal of Cultural Cognitive Science, Vol-6, No. 2, pp. 151-168.
Georgiou G.K., Department of Educational Psychology, 6-102 Education North, University of Alberta, Edmonton, T6G 2G5, AB, Canada; Cardoso-Martins C., Universidade Federal de Minas Gerais, Belo Horizonte, Brazil; Das J.P., Department of Educational Psychology, 6-102 Education North, University of Alberta, Edmonton, T6G 2G5, AB, Canada; Falc A., Autonomous University of the State of Morelos, Cuernavaca, Mexico; Hosokawa M., Ibaraki University, Mito, Japan; Inoue T., The Chinese University of Hong Kong, Hong Kong; Li Y., The Education University of Hong Kong, Hong Kong; Martinez D., Department of Educational Psychology, 6-102 Education North, University of Alberta, Edmonton, T6G 2G5, AB, Canada; Padakannaya P., Christ University, Bangalore, India; Parrila R., Macquarie University, Sydney, Australia; Pollo T.C., Universidade Federal de S Jo del-Rei, S Jo del-Rei, Brazil; Salha S.S., An-Najah National University, Nablus, Palestine; Samantaray S., BJB Junior College, Bhubaneswar, India; Shu H., Beijing Normal University, Beijing, China; Tanji T., Okayama University, Okayama, Japan; Tibi S., Florida State University, Tallahassee, FL, United States; Vieira A.P.A., Department of Educational Psychology, 6-102 Education North, University of Alberta, Edmonton, T6G 2G5, AB, Canada
Is Bitcoin a Safe Haven for Indian Investors? A GARCH Volatility Analysis
Bitcoin; DCC GARCH; EGARCH; gold; volatility spill over
This paper attempts to understand the dynamic interrelationships and financial asset capabilities of Bitcoin by analysing several aspects of its volatility vis-a-vis other asset classes. This study aims to analyse the volatility dynamics of the returns of Bitcoin. An asymmetric GARCH model (EGARCH) is used to investigate whether Bitcoin may be useful in risk management and ideal for risk-averse investors in anticipation of negative shocks to the market (leverage effect). This paper also examines Bitcoin as an investment and hedge alternative to gold as well as NSE NIFTY using a multivariate DCC GARCH model. DCC GARCH models are also used to check whether correlation (co-movement) between the markets is time-varying, examine returns and volatility spillovers between markets and the effect of the outbreak of COVID-19 in India on the investigated markets. The results show that given the supply of Bitcoin is fixed, low returns realisation is equivalent to excess supply over demand wherein investors are selling off Bitcoin during bad times. The positive co-movement between Bitcoin and gold during the COVID-19 outbreak shows that investors perceived Bitcoin as a relatively safe investment. However, overall analysis shows that Bitcoin was not considered a safe hedge and an investment option by Indian investors during the study period. 2022 by the authors.
Journal of Risk and Financial Management, Vol-15, No. 7
https://doi.org/10.3390/jrfm15070317 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136058994&doi=10.3390%2fjrfm15070317&partnerID=40&md5=590f498ed9f5cd123a367750db40c5b0
Murty S., Department of Economics, CHRIST (Deemed to be University, Bangalore, 560029, India; Victor V., Accounting, Economics and Finance Area, T A Pai Management Institute, Manipal Academy of Higher Education, Manipal, 576104, India; Fekete-Farkas M., Institute of Agricultural and Food Economics, Hungarian University of Agriculture and Life Sciences, Godollo, 2100, Hungary
XENOPHOBIC ATTITUDES AND REPRESENTATIONS IN SOCIAL MEDIA DURING COVID-19 PANDEMIC IN INDIA; [ACTITUDES Y REPRESENTACIONES XENOFICAS EN LAS REDES SOCIALES DURANTE LA PANDEMIA DE COVID-19 EN LA INDIA]
Covid-19 pandemic; Marginalization; Social media representation; Xenophobia
Social media activity was reported to have significantly increased during the pandemic period as most of the daily routines transformed into the digital space. This paper attempted to explore the politics of representation in digital space using Foucauldian theories of power and discipline. A qualitative exploration of the xenophobic attitudes and representation was conducted on 123 young adults to understand how health concerns associated with the pandemic influenced social representations and marginalization of certain social sections and how participants recognized and understood their contribution to this group polarization. Thematic analysis of participant opinions indicated a significant change in polarization and attitude towards out-groups following the pandemic outbreak. The existing hierarchical homogenization and polarization of the marginalized moderated by polarized political affinities were found to be translated into digital space intensifying xenophobic attitudes thereby contributing to the evolution of new digital cultures and hierarchies in digital literacy. 2022 UNIVERSIDADE FEEVALE All rights reserved.
Revista Conhecimento Online, Vol-2, pp. 180-195.
https://doi.org/10.25112/rco.v2.2869 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138796909&doi=10.25112%2frco.v2.2869&partnerID=40&md5=59aa665526d9d6ab87bb151f198499f7
Jochan G.M., Department of Psychology, St Josephs University, Bangalore, India; Chakraborty R., Department of Psychology, CHRIST University, Bangalore, India; Arur A.A., Department of Psychology, CHRIST University, Bangalore, India
Climate-Smart Livelihood - A Case Study of Dodaballapura Taluk of Bangalore Rural District
Agriculture; Climate change; Climate smart agriculture; Climate smart livelihood
More than a billion farmers around the world are on the frontier of climate change. These farmers' livelihoods are directly and indirectly affected by the impact of climate change. Climate smart livelihood explains the practices in agriculture sector which sustainably contributes to productivity and income. This study tries to explore the adaptation of climate smart livelihood techniques by the farmers in the Doddaballapur taluk of Bangalore rural district. The data was collected primarily from the five villages and 50 households of Doddaballapur taluk. The survey revealed that 81.67% of the respondents faced problems during adaptation of climate smart agriculture was due to poor support of local and national authorities with climate related issues and ranked it one of the major constraints. This was followed by lack of financial constraints, lack of knowledge about adaptive practices (78.50%), non-availability of agriculture inputs in time (76.17%), lack of education about the adaptation strategies (75.33%), unavailability of new technologies (78.83%), higher cost of the agricultural inputs used for the practices (71.17%), lack of improved communication facility about the climate change (71 %), migration of youth due to urbanization and better employment (70.83%), lack of knowledge about post-harvest technology (68.83%), lack of awareness about climate change issues (59.83 %). The study reveals that as most farmers believe they have low capacity to adapt to climate-smart agriculture due to lack of availability of resources. Government can help farmers through National Agricultural Extension Project (NAEP), Krishi Prashasthi, etc. 2022 - Kalpana Corporation.
Indian Journal of Environmental Protection, Vol-42, No. 8, pp. 971-978.
Sagarika M.P., Christ (Deemed to Be University), Department of Economics, Karnataka, Bangalore, 560 029, India; Rajeshwari U.R., Christ (Deemed to Be University), Department of Economics, Karnataka, Bangalore, 560 029, India
Analysis of the photo-thermal excitation in a semiconducting medium under the purview of DPL theory involving non-local effect
Dual phase lag heat conduction; Non-local effect; Normal mode analysis; Photo thermal waves
Non-local theory comprises a unique characteristics by analyzing the effects of all points of the body on a single point of the material. The present study enlightens the propagation of photo-thermal waves in a semiconductor by adopting the two phase lag theory of thermoelasticity in the frame of non-local effect. Normal mode analysis has been employed to obtain the exact expressions of the field quantities such as temperature, components of the displacement, carrier density, and components of the stress. Each field quantity is found to be influenced by the non-local parameter as well as phase lags. Quantitative results are determined in the time-domain by adopting a suitable technique of Laplace transform inversion which exhibit the influence of the non-locality effect on the distributions of field variables. Significant differences have been attributable to the studied fields due to the non-locality effect. Also, computational results are compared with the corresponding results obtained by using single phase lag theory proposed by Lord and Shulman (LS model)LS model single phase lag model (LS model). 2022, Springer Nature B.V.
Kumar R., Department of Mathematics, Central University of South Bihar, Fatehpur, 824236, India; Tiwari R., Department of Mathematics, Nitishwar College, A Constituent Unit of Babasaheb Bhimrao Ambedkar Bihar University, Muzaffarpur, 842002, India; Singhal A., Department of Computational Sciences, Delhi NCR Campus, Christ (Deemed to be University), UP, Ghaziabad, 201003, India
BSLnO: Multi-agent based distributed intrusion detection system using Bat Sea Lion Optimization-based hybrid deep learning approach
deep maxout network; deep residual network; intrusion detection system; multi-agent system; Sea Lion Optimization
Intrusion detection system (IDS) is a robust model that plays an essential role in dealing with intrusion detection, especially in detecting abnormal anomalies and unknown attacks. The major challenges faced by IDS are the computation time required for analysis, and the exchange of a huge amount of data from one division of the network to another. For the sake of tackling such limitations, this probe proposes a multi-agent enabled IDS for detecting intrusions using the Bat Sea Lion Optimization (BSLnO) algorithm. The proposed strategy consists of five phases, namely pre-processor agent, reducer agent, augmentation agent, classifier agent, and decision agent. Initially, input data is subjected to pre-processor agent, where pre-processing is carried out using data normalization and missing value imputation. Thereafter, the pre-processed result is fed up to the reducer agent, where dimension reduction is carried out using mutual information. The third step is data augmentation in which the dimensionality of data is enhanced. After that, the augmented result is subjected to classifier agent to classify intrusions or malicious activities present in the network based on hybrid deep learning strategies, namely deep maxout network and deep residual network. A developed BSLnO is implemented by incorporating Bat Algorithm (BA) and Sea Lion Optimization (SLnO) algorithm to train the hybrid classifier. The proposed scheme has acquired a higher precision of 0.936, recall of 0.904, and F-measure of 0.920. 2022 John Wiley & Sons Ltd.
International Journal of Adaptive Control and Signal Processing, Vol-36, No. 8, pp. 1909-1930.
https://doi.org/10.1002/acs.3427 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130487135&doi=10.1002%2facs.3427&partnerID=40&md5=7b881140e224fb28bcd894c2e3978a00
Maram B., Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Himachal Pradesh, Chitkara University, India; Mandala J., Department of Computer Science and Engineering, Christ (Deemed to be) University, Bengaluru, India; Satish A.R., School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, Vijayawada, India
Nickel-Based Inks for Flexible Electronics - A Review on Recent Trends
conductive electronics; direct ink writing; ink; Inkjet printing; nickel
Inkjet printing (IJP) is an efficient, simple, scalable and low-cost additive manufacturing technique for the deposition of functional materials on substrates used in flexible electronic devices, sensors, and light-emitting diodes to name a few. Nanoparticle ink, metal oxide decomposition (particle-free ink), polymer ink, and semiconductor ink are classifications of the inks used in IJP. Effective printing of the material is possible when the ink parameters (viscosity, particle size, surface tension) and its derived dimensionless quantities (Weber number, Reynolds' number, and Ohnesorge number) fall within a desirable range. The formation of the coffee-ring effect during the post-printing process is one of the major concerns, which affects the morphology and electrical conductivity of the printed pattern. In this review, a summary of recent developments of Ni-based inks in terms of formulation, sintering and properties is presented, along with the effect of combining Ni with other materials such as NiO, Ag, Cu, Zn, Fe, carbon, and rare earth metals on the film properties. The precursors and solvents used for the Ni ink preparation, along with the additives and surfactants, have been presented to understand their impact on the film's properties and develop a design to choose the ideal precursor-solvent pair. Finally, the challenges in formulating inks and the necessity to develop a model to optimize the choice of solvent/ precursor are presented. The model would improve the selection of additives and precursors and reduce material wastage and enhance performance with fewer defects. 2022 World Scientific Publishing Company.
Journal of Advanced Manufacturing Systems, Vol-21, No. 3, pp. 591-624.
https://doi.org/10.1142/S0219686722500214 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120874705&doi=10.1142%2fS0219686722500214&partnerID=40&md5=a7281f7deb26faa41b6fe9c6ba2e185e
Murthy H., Department of Electronics and Communication Engineering, Christ (Deemed to Be University), Kumbalgodu, Karnataka, Bengaluru, 560074, India; Thakur N., Department of Electronics and Communication Engineering, Christ (Deemed to Be University), Kumbalgodu, Karnataka, Bengaluru, 560074, India; Shankhwar N., Department of Physics, Indian Institute of Technology Guwahati, Assam, Guwahati, 781039, India
QSPR Analysis of Polycyclic Aromatic Hydrocarbons
Equitable zagreb index; polycyclic aromatic hydrocarbon; polynomial
Topological indices serve as a crucial component in chemical graph theory linked with some molecular structure. The First and Second Zagreb Indices are one among the earliest and extensively explored molecular descriptors. The study on equitable zagreb indices have been initiated earlier by Akram Alqesmah, Anwar Alwardi and R. Rangarajan based on the equitable degree of the vertices. In this paper, we introduce the first and second equitable and non-equitable zagreb polynomials and compute the exact values of the respective equitable and non-equitable zagreb indices for polycyclic aromatic hydrocarbons. We have also utilised certain formulations for the determination of the corresponding relative equitable and non-equitable zagreb indices of the chemical graph. Further, QSPR analysis is carried out for the topological indices with regard to the physico-chemical properties of the polycyclic hydrocarbon molecules. 2022, Books and Journals Private Ltd.. All rights reserved.
Journal of Mines, Metals and Fuels, Vol-70, No. 8, pp. 49-55.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.18311/jmmf/2022/32009 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167347835&doi=10.18311%2fjmmf%2f2022%2f32009&partnerID=40&md5=f668fbdc02867fa7198b19812f759aea
Sarkar I., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Manjunath N., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Ramesha K., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India
RayleighBard convection in a BoussinesqStokes ferromagnetic fluid under sinusoidal and non-sinusoidal internal heat modulation
BoussinesqStokes suspensions; ferromagnetic fluids; internal Rayleigh number; time-dependent heat source/sink; waveforms
Internal heat modulation has several applications in nuclear reactor design and safety, as well as meteorology. In this paper, the influence of internal heat modulation on RayleighBard convection in a BoussinesqStokes ferromagnetic fluid is explored using linear and nonlinear analyses. The impact of the square, sine, triangular, and sawtooth wave type of internal heat modulation on the onset of convection and heat transport is considered. Using a Venezian method, linear stability analysis is performed to derive the correction Rayleigh number and the critical Rayleigh number for all four waveforms. A nonautonomous Lorenz model is derived and solved for the amplitude to obtain the Nusselt number, which quantifies the heat transport. The impact of the nondimensional parameter on the convective onset and heat transfer under heat source/sink modulation is analyzed. The study shows that all four types of internal heat modulation destabilize the system. It is also found that the presence of a heat source/sink modulation affects the impact of all four types of internal heat modulation on heat transport. 2022 Wiley Periodicals LLC.
Heat Transfer, Vol-51, No. 6, pp. 5030-5052.
https://doi.org/10.1002/htj.22535 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128240029&doi=10.1002%2fhtj.22535&partnerID=40&md5=f028f741811390f8f182a7b514486bf8
Meghana J., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Pranesh S., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, India
Influence of Consumers Self Perception on Devaluation of Ugly Produce Marketing Strategies to Reduce Food Waste in the Indian Context
food waste; self-perception; self-signaling; ugly produce
Ugly produce refers to aesthetically imperfect fruits and vegetables and also fruits and vegetables with minor blemishes. Ugly produce does not refer to spoilt, rotten, or germ-infected fruits and vegetables. The basic premise of this study is from self-signaling and self-perception theories. The self-signaling theory states that when people make a choice, they disclose something of their character and personality not just to others, but also to themselves. Self-perception theory (SPT) developed by psychologist Daryl Bem asserts that people develop their attitudes by observing their own behavior and further concluding what attitudes must have caused it. Classically, consumers undervalue ugly produce because of altered self-perceptions; simply visualizing the consumption of imperfect produce acts as a self-indicative signal that negatively affects how consumers view themselves. Due to this, the unattractive produce, even though perfectly edible and with the same taste and nutritional value, is rejected by consumers merely based on shape or some other cosmetic blemish. We discussed the strategies adopted by Indian startups and organizations to reduce food waste. Deep discounting is the strategy followed by food retailers worldwide to sell ugly produce, however, this is not the best strategy as it leads to losses for both the retailers as well as the farmers. We suggested alternative strategies successfully followed by foreign retailers, such as spreading awareness, boosting self-confidence and esteem among consumers, attracting kids, etc., which can be followed by Indian food retailers for selling ugly fruits and vegetables. 2022, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Indian Journal of Marketing, Vol-52, No. 8, pp. 41-50.
Associated Management Consultants Pvt. Ltd.
https://doi.org/10.17010/ijom/2022/v52/i8/171223 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138072750&doi=10.17010%2fijom%2f2022%2fv52%2fi8%2f171223&partnerID=40&md5=d570005fbe73d185a33e5ac33ccb51c5
Saldanha A.T., St. Josephs Institute of Management, 28/1, Primrose Road, Bangalore, 560 025, India; Aranha R., School of Business and Management, CHRIST (Deemed to be University), Bangalore Kengeri Campus Kanmanike, Kumbalgodu, Mysore Road, Bangalore, 560 074, India
Tunable Capacitive Behavior in Metallopolymer-based Electrochromic Thin Film Supercapacitors
capacitance; coordination polymers; electrochromic; metal-organic; supercapacitors
Volumetric capacitance is a more critical performance parameter for rechargeable power supply in lightweight and microelectronic devices as compared to gravimetric capacitance in larger devices. To this end, we report three electrochromic metallopolymer-based electrode materials containing Fe2+as the coordinating metal ion with high volumetric capacitance and energy densities in a symmetric two-electrode supercapacitor setup. These metallopolymers exhibited volumetric capacitance up to 866.2 F cm-3at a constant current density of 0.25 A g-1. The volumetric capacitance (poly-Fe-L2: 544.6 F cm-3> poly-Fe-L1: 313.8 F cm-3> poly-Fe-L3: 230.8 F cm-3at 1 A g-1) and energy densities (poly-Fe-L2: 75.5 mWh cm-3> poly-Fe-L1: 43.6 mWh cm-3> poly-Fe-L3: 31.2 mWh cm-3) followed the order of the electrical conductivity of the metallopolymers and are among the best values reported for metal-organic systems. The variation in the ligand structure was key toward achieving different electrical conductivities in these metallopolymers with excellent operational stability under continuous cycling. High volumetric capacitances and energy densities combined with tunable electro-optical properties and electrochromic behavior of these metallopolymers are expected to contribute to high performance and compact microenergy storage systems. We envision that the integration of smart functionalities with thin film supercapacitors would warrant the surge of miniaturized on-chip microsupercapacitors integrated in-plane with other microelectronic devices for wearable applications. 2022 American Chemical Society. All rights reserved.
Mukkatt I.; Mohanachandran A.P.; Nirmala A.; Patra D.; Sukumaran P.A.; Pillai R.S.; Rakhi R.B.; Shankar S.; Ajayaghosh A.
ACS Applied Materials and Interfaces, Vol-14, No. 28, pp. 31900-31910.
https://doi.org/10.1021/acsami.2c05744 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134854541&doi=10.1021%2facsami.2c05744&partnerID=40&md5=a93cb23faa4c1a413ad99721b5295583
Mukkatt I., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Mohanachandran A.P., Material Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Department of Physics, University of Kerala, Kerala, Thiruvananthapuram, 695581, India; Nirmala A., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Patra D., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Sukumaran P.A., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Pillai R.S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Rakhi R.B., Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India, Material Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India; Shankar S., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India; Ajayaghosh A., Photosciences and Photonics Section, Chemical Sciences and Technology Division, CSIR - National Institute for Interdisciplinary Sciences and Technology (CSIR - NIIST), Thiruvananthapuram, 695019, India, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
An Overview of Nano-Catalysts in Biodiesel Production
Biodiesel; Mass transport properties; Nanoparticles; Reaction speed
Energy consumption and dependence on non-renewable resources is increasing over the years. The combustion of fossil fuels resulting in the emission of substantial amounts of CO2, NOX, SOX and some greenhouse gases. Biofuels are evolving as the primary alternatives to fossil fuels since they can be readily synthesised from discarded bioresources and yield lesser emission during the combustion process. However, the extraction of biofuels has thrown up new challenges that have widened the scope of the use of nano-particles in the synthesis of biofuels. From the literature, distinct findings concerning the use of nano-particles as a catalyst and process reactant during biodiesel production have been identified; this is majorly attributed to the fact that nano-catalysts enhance thermophysical properties, reaction speed and mass transport properties. Henceforth, the present paper aims to review, summarise and provide an insight into the research findings of effectively using nanocatalysts in biofuel production and consider the significance and its relevance for further researchers in the domain of biofuels. 2022, Books and Journals Private Ltd.. All rights reserved.
Ravikumar R.; Kiran K.; Hebbar G.S.; Naresh H.; Panigrahi S.P.
Journal of Mines, Metals and Fuels, Vol-70, No. 8, pp. 8-15.
https://doi.org/10.18311/jmmf/2022/31998 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167344184&doi=10.18311%2fjmmf%2f2022%2f31998&partnerID=40&md5=0b22a1973194ade959033cec4855c493
Ravikumar R., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India; Kiran K., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India; Hebbar G.S., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India; Naresh H., Department of Mechanical Engineering, Siddaganga Institute of Technology, Tumakuru, 572103, India; Panigrahi S.P., Department of Mechanical and Automobile Engineering, CHRIST University, Bangalore, 560074, India
Design of Smart and Secured Healthcare Service Using Deep Learning with Modified SHA-256 Algorithm
CNN-LSTM; deep learning; DNN; encryption; hospital management system; SHA-256 algorithm
Background: The modern era of human society has seen the rise of a different variety of diseases. The mortality rate, therefore, increases without adequate care which consequently causes wealth loss. It has become a priority of humans to take care of health and wealth in a genuine way. Methods: In this article, the authors endeavored to design a hospital management system with secured data processing. The proposed approach consists of three different phases. In the first phase, a smart healthcare system is proposed for providing an effective health service, especially to patients with a brain tumor. An application is developed that is compatible with Android and Microsoft-based operating systems. Through this application, a patient can enter the system either in person or from a remote place. As a result, the patient data are secured with the hospital and the patient only. It consists of patient registration, diagnosis, pathology, admission, and an insurance service module. Secondly, deep-learning-based tumor detection from brain MRI and EEG signals is proposed. Lastly, a modified SHA-256 encryption algorithm is proposed for secured medical insurance data processing which will help detect the fraud happening in healthcare insurance services. Standard SHA-256 is an algorithm which is secured for short data. In this case, the security issue is enhanced with a long data encryption scheme. The algorithm is modified for the generation of a long key and its combination. This can be applicable for insurance data, and medical data for secured financial and disease-related data. Results: The deep-learning models provide highly accurate results that help in deciding whether the patient will be admitted or not. The details of the patient entered at the designed portal are encrypted in the form of a 256-bit hash value for secured data management. 2022 by the authors.
Mohanty M.D.; Das A.; Mohanty M.N.; Altameem A.; Nayak S.R.; Saudagar A.K.J.; Poonia R.C.
https://doi.org/10.3390/healthcare10071275 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137307467&doi=10.3390%2fhealthcare10071275&partnerID=40&md5=23de04b41c0748b057e7553da3732d04
Mohanty M.D., Department of Electrical Engineering, Campus 1, Technische Universit, Hamburg, 21073, Germany; Das A., Department of Electronics and Communication Engineering, Institute of Technical Education and Research (ITER), Siksha O Anusandhan (Deemed to be University, Bhubaneswar, 701030, India; Mohanty M.N., Department of Electronics and Communication Engineering, Institute of Technical Education and Research (ITER), Siksha O Anusandhan (Deemed to be University, Bhubaneswar, 701030, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Nayak S.R., Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, 201303, India; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University, Bangalore, 560029, India
Synthesis, in vitro and theoretical studies on newly synthesized deep blue emitting 4-(p-methylphenylsulfonyl-5-aryl/alkyl)oxazole analogues for biological and optoelectronic applications
4-Ts-Oxazoles; Antimicrobial activity; Photophysical properties; Single crystal XRD
In the present study, a series of 4,5-di-substituted oxazole derivatives (compounds 2a-p) were synthesized, using a novel methodology for the simultaneous determination of their biological and optoelectronic applications. Among the screened molecules, compounds 2j, 2 l and 2o showed very good antimicrobial potencies with MICs up to 1 g/mL. Furthermore, the photophysical parameters were estimated using theoretical and experimental techniques for optoelectronic applications. The excited-state dipole moment being higher than that of the ground state, investigated using solvato-chromatic method showed a redistribution of the electron densities in the excited state for the fluorophores. The HOMO-LUMO energies of the fluorophores estimated by using density functional theory (DFT) are found to be in good agreement with the experimental values. The electrophilic and nucleophilic sites were also recognized with the help of molecular electrostatic potential 3D plots using time-dependent-DFT computational analysis. The specific and non-specific interactions between the solutesolvent were analyzed by multiple linear regression analysis using Kamlet-Abound-Taft and Catalan parameters. Further, the global chemical reactivity descriptor parameter was also calculated. The photophysical properties of the fluorophores suggest that these may be considered as potential probes for OLED, solar cell, and chemosensor applications. 2022 Elsevier B.V.
Prabhala P.; Sutar S.M.; Manjunatha M.R.; Pawashe G.M.; Gupta V.K.; Naik L.; Kalkhambkar R.G.
https://doi.org/10.1016/j.molliq.2022.119520 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131821419&doi=10.1016%2fj.molliq.2022.119520&partnerID=40&md5=d4d530497588499982d5c66f4bdf00fa
Prabhala P., Department of Chemistry, Karnatak University's Karnatak Science College, Karnataka, Dharwad, 580001, India; Sutar S.M., Department of Chemistry, Karnatak University's Karnatak Science College, Karnataka, Dharwad, 580001, India; Manjunatha M.R., Department of Studies in Chemistry, University of Mysore, Karnataka, Manasagangotri, Mysore, 570005, India; Pawashe G.M., Department of Chemistry, Karnatak University's Karnatak Science College, Karnataka, Dharwad, 580001, India; Gupta V.K., Post-Graduate Department of Physics, University of Jammu, Jammu & Kashmir, Jammu Tawi, 180006, India; Naik L., Department of Physics and Electronics, CHRIST (Deemed to be university), Bangalore, 560029, India; Kalkhambkar R.G., Department of Chemistry, Karnatak University's Karnatak Science College, Karnataka, Dharwad, 580001, India