Infusing Circular Reporting Model and Creative Marketing Mix for a Progressive Orange Economy: A Study with reference to Creative Business Units in Karnataka, India in the Post Covid-19 Pandemic
Content marketing strategy; Creative economy; Creative products and services; Economic factors; Marketing Mix; Orange economy; Orange mix
The orange economy which is also known as the creative economy has been an unrecognized industry though it has been a major contributor to economic growth and development. In this research an introspection has been done on four major economic factors such as: Choice of creativity with available resources, Marketing the good with unique strategies, Supply chain of good and services and tackling the demand fluctuations. These four factors rule the creative economy and hence the interlink between all these factors and its impact on the success of orange economy has been discussed in this research. The data has been collected from 30 small-owned creative business units which are spread across Karnataka. An interview schedule has been conducted with the creative business owners to understand the creative business units and its functionality. The structured interview has three layers which include (layer 1: questions related to creative business, layer 2: impact of Covid-19 pandemic on creative business units and layer 3: questions related to marketing, promotion and sales strategies used by creative business units. All the collected data has been exposed to a manual qualitative content coding to find new variables, new themes, cause, and effect and to construct a new conceptual model. The model has been suggested to the creative business units for active consideration and implementation. If the creative business units make use of the suggested marketing mix and strategies, they will be able to sustain themselves in the post-Covid-19 pandemic. The Author(s) 2023.
Venkatesh S.; Anand Shankar Raja M.; Athmaramani M.; Mynavathi L.; Amaravathi M.
Asian Journal of Interdisciplinary Research, Vol-6, No. 3, pp. 26-48.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.54392/ajir2334 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213373299&doi=10.54392%2fajir2334&partnerID=40&md5=e746ac7f207e17cadb02842be20ab336
Venkatesh S., Department of Commerce, Christ University and UG studies, Mount Carmel College-Autonomous, Karnataka, Bangalore, India; Anand Shankar Raja M., School of Commerce, Kumaraguru College of Liberal Arts and Science, Tamil Nadu, Coimbatore, India; Athmaramani M., School of Economics, Kumaraguru College of Liberal Arts and Science, Tamil Nadu, Coimbatore, India; Mynavathi L., School of Commerce, Finance and Accountancy, Christ University, Karnataka, Bangalore, 560029, India; Amaravathi M., Department of Hospital Administration, PSG College of Arts and Science, Tamil Nadu, Coimbatore, India
Cloud-enabled Diabetic Retinopathy Prediction System using optimized deep Belief Network Classifier
Classification; Cloud-based prediction and diagnosis; Diabetic Retinopathy; Optimized deep Belief Network; Stochastic neighbor embedding
Diabetic retinopathy disease is one of the notorious metabolic disorders happens due to increase of blood sugar level in human body. In computer vision, images are recognized as the indispensable tool for precise prediction and diagnosis of diabetic retinopathy. Therefore, the proposed research study considers the fundus images of various patients containing the diabetic disease. Basic idea behind this research is to introduce a stochastic neighbor embedding (SNE) feature extraction approach for the sake of dimensional reduction and unnecessary noise removal from the fundus images. After feature extraction, the proposed optimized deep belief network (O-DBN) classifier model is capable of measuring the image features into various classes that gives the severity levels of diabetic retinopathy disease. Moreover, the proposed cloud-enabled diabetic retinopathy prediction system using the SNE feature extraction and O-DBN classification model could outperform the existing online prediction systems in terms of sensitivity, specificity, F1-score, prediction time and accuracy. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Rajavel R.; Sundaramoorthy B.; Gr K.; Ravichandran S.K.; Leelasankar K.
Journal of Ambient Intelligence and Humanized Computing, Vol-14, No. 10, pp. 14101-14109.
Springer Science and Business Media Deutschland GmbH
Rajavel R., Department of CSE, CHRIST University, Bangalore, India; Sundaramoorthy B., School of Physiotherapy, Aarupadai Veedu Medical College & Hospital, Pondicherry, India; Gr K., Department of CSE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, India; Ravichandran S.K., Department of CSE, CHRIST University, Bangalore, India; Leelasankar K., School of Computing, SRM Institute of Science & Technology, Kattankulathur, India
Contemporary ethnobotany of pastoralism in semi-arid Deccan region-Koppal district, Karnataka, India
Cattle forage; ethno-veterinary plants; koppal; pastoralism; semi-arid deccan region
The aim of the current study is on ethnobotanical survey carried out in Koppal district of Karnataka, India. Study focused on exploration of traditional knowledge and pastoral practices of particular communities where livestock rearing activity is potent and use of ethnomedicinal plants in daily livelihood. The landscape was diverse in nature covering semi-arid to modest tropical climate, and unique topography encourage for wide range of vegetation useful for caters to feed the livestock. Methodology used for the study by participant observation, interviews, and transect walks, the study identified 48 plant species from 20 families, with Fabaceae and Poaceae being the most prevalent. These families play a vital role in providing nutritious fodder for livestock and sustaining pastoralists livelihoods. The study resulted pastoralists ethno-veterinary knowledge, where specific plants are used to treat cattle ailments and reflecting their deep understanding of traditional herbal remedies. However, the research finding revealed that some traditional knowledge may be diminishing with the younger generation, stressing the importance of knowledge preservation and transfer. The study underscores the potential benefits of integrating traditional practices with scientific research to optimize the selection and utilization of valuable fodder and veterinary plants. It is evident remarks to add up in the scientific data by collaboration between indigenous communities and scientific institutions for sustainable resource management. 2023, Indian journals. All rights reserved.
Medicinal Plants, Vol-15, No. 3, pp. 498-510.
S.r S., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, India; B.t M., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, India
Predictors of Hypertension among Indian Women of Reproductive Age Group: An Analysis from NFHS-5 Data
Health Status Disparities; Hypertension; Obesity; Rural Population; Socioeconomic Factors; Urban Population
Introduction: Hypertension among women not only augments the risk of cardiovascular diseases but also leads to antenatal and intra-natal complications. Materials and Methods: A subset of data collected during National Family Health Survey-5, comprising of 7,24,115 women, 1549 years of age was analysed to identify key predictors of hypertension, using Probit Regression Model (PRM) which was run separately for rural and urban women. Results: Overall prevalence of hypertension among women of reproductive age group was 11% (10.4% and 12% in rural and urban areas respectively). 5% and 13.41% of women were obese and 1.2% and 2.6% were diabetic in rural and urban areas respectively. Obese, uneducated, rich women and those on medications showed higher prevalence, while women consuming milk, eggs, chicken, fruits, and vegetables daily showed lower prevalence. On using PRM, significant predictors of hypertension were increasing age, rural residence, pregnancy, increasing weight, diabetes, illiteracy, access to medical insurance, and indulgence in alcohol and smoking. Conclusion: Findings from the study contribute to the body of evidence favouring multifactorial causation. Hypertension awareness should be promoted especially among rural residents, older women, with emphasis on intake of balanced diet with less consumption of sodium and increased intake of fruits and vegetables. 2023 National Journal of Community Medicine.
Yadav A.K.; Kumar T.; Zargar T.; Sahni B.
National Journal of Community Medicine, Vol-14, No. 10, pp. 643-649.
https://doi.org/10.55489/njcm.141020233105 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173941383&doi=10.55489%2fnjcm.141020233105&partnerID=40&md5=c2c638c950f2d56dcbe6ac6c0a744562
Yadav A.K., Christ University, Bangalore, India; Kumar T., CD hospital, Jammu, India; Zargar T., GMC Jammu, Jammu, India; Sahni B., ASCOMS and Hospital, Jammu, India
Marine brown algae (Sargassum wightii) derived 9-hydroxyhexadecanoic acid: A promising inhibitor of ?-amylase and ?-glucosidase with mechanistic insights from molecular docking and its non-target toxicity analysis
ADME; In silico docking; Palmitic acid; Sargassum wightii; toxicity analysis; ?-amylase; ?-glucosidase
Jeopardized glucose hemostasis leads to cronic metaboic disorder like Diabetes mellitus and it is predicted to occur in ?700 million people in the coming 20 years. Our study aims to isolate Palmitic acid (C16H32O3), 9-Hydroxyhexadecanoic acid metabolite from Sargassum wightii to inhibit alpha-amylase and alpha-glucosidase to reduce postprandial hyperglycemia and decline the risk of diabetes. High docking score of palmitic acid with both ?-amylase and ?-glucosidase is observed in in-silico molecular docking analysis, in comparison to commercially available drug acarbose. The three hydrogen bond in palmitic acid interacts with the important amino acids like Arg195, Lys200 and Asp300 in Glide XP docking mode for alpha-amylase. For ?-glucosidase, quantum-polarized ligand docking (QPLD) was used with similar three hydrogen bond interactions. Both docking studies showed significant binding interaction of palmitic acid with ?-amylase (?5.66 and ?5.14 (Kcal/mol)) and with ?-glucosidase (?4.52 and ?3.51(Kcal/mol)) with respect to the standard, acarbose docking score. The bioactive palmitic acid isolated from the brown alga, Sargassum wightii is already seen to inhibit digestive enzyme with non-target property in Artemia nauplii and zebra fish embryos. Further studies are required to investigate its role in in vivo antidiabetic effects due to its non-toxic and digestive enzyme inhibitory properties. It can be recommended in additional pharmaceutical studies to develop novel therapeutics to manage diabetes mellitus. 2023 SAAB
Paramasivam D.; Meyyazhagan A.; Thiyagarajulu N.; Arumugasamy K.; Balasubramanian B.; Alanazi A.M.; Rengasamy K.R.R.
South African Journal of Botany, Vol-161, pp. 627-637.
https://doi.org/10.1016/j.sajb.2023.08.064 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170100231&doi=10.1016%2fj.sajb.2023.08.064&partnerID=40&md5=12c402062ba7f5452674739559bec46e
Paramasivam D., Department of Life Science, Kristu Jayanti College (Autonomous), Affiliated to Bengaluru North University, Karnataka, Bengaluru, 560077, India; Meyyazhagan A., Department of Life Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560076, India; Thiyagarajulu N., Department of Life Science, Kristu Jayanti College (Autonomous), Affiliated to Bengaluru North University, Karnataka, Bengaluru, 560077, India; Arumugasamy K., Department of Zoology, Thiagarajar College, Tamil Nadu, Madurai, 625009, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Alanazi A.M., Pharmaceutical Chemistry Department, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi Arabia; Rengasamy K.R.R., Centre of Excellence for Pharmaceutical Sciences, North-West University, Potchefstroom, 2520, South Africa
Imprint of Fertiliser Policies on Farming Practices Evidence from the Top Five Consuming States
The policies related to the use of nitrogen fertilisers since independence are reviewed using primary and secondary databases to derive the present status of nitrogen, phosphorus, and potassium fertiliser use among farmers. Recommendations for increasing nitrogen use efficiency in agriculture for sustainability are provided. 2023 Economic and Political Weekly. All rights reserved.
Choudhary H.; Mishra K.; Kumar P.; Chandra R.; Singh B.
Economic and Political Weekly, Vol-58, No. 39, pp. 51-59.
Choudhary H., NITI Aayog, New Delhi, India; Mishra K., Christ University, Delhi NCR campus, India; Kumar P., Giri Institute for Development Studies, Lucknow, India; Chandra R., Uttarakhand Council of Science and Technology, Dehradun, India; Singh B., Department of Soil Science, Punjab Agricultural University, Ludhiana, India
Design of Triple Tuned Passive Harmonic Power Filter - A Novel Approach
Dynamic loading; passive harmonic filter; single tuned filter (STF); static loading; triple tuned filter
Nowadays, there is a race between active and passive harmonic filters and still ambiguity persists. It is a proven fact that active harmonic filters (AHFs) are costly solutions though have proved better than passive harmonic filters. Except sizing and resonance problems, tuned passive harmonic filters (TPHFs) are proved to give economical solutions with little compromise on their performance. The accurate design of TPHFs gives a greater impact on its performance. The triple-TPHF (TTPHF) is essential to alleviate first three dominant ac side current harmonics simultaneously at the high voltage direct current (HVdc) converters and it is proved better than the single and double TPHFs. Existing equivalent methods of TTPHF design failed to give satisfactory performance under dynamic conditions. Hence, this article introduces a novel parametric method-based design of TTPHF, which will give better performance under static and dynamic loading conditions. The results also reveal that the proposed TTPHF design method will perform better than the existing methods. 2021 IEEE.
Cheepati K.R.; Parimalasundar E.; Suresh K.; Rami Reddy C.; Alqahtani M.M.; Khalid M.
IEEE Canadian Journal of Electrical and Computer Engineering, Vol-46, No. 4, pp. 270-277.
https://doi.org/10.1109/ICJECE.2023.3296826 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174843692&doi=10.1109%2fICJECE.2023.3296826&partnerID=40&md5=2b4029bf64d55afadea54701fd690f4e
Cheepati K.R., Ksrm College of Engineering (Autonomous), Electrical and Electronics Engineering, Kadapa, 516005, India; Parimalasundar E., Mohan Babu University, Erst while Sree Vidyanikethan Engineering College, Department of Electrical and Electronics Engineering, Tirupati, 517102, India; Suresh K., Christ University, Electrical and Electronics Engineering, Bangalore, 560029, India; Rami Reddy C., Joginpally B.R. Engineering College, Electrical and Electronics Engineering, Hyderabad, 500075, India; Alqahtani M.M., King Khalid University, Department of Industrial Engineering, Abha, 62529, Saudi Arabia; Khalid M., King Fahd University of Petroleum and Minerals, Electrical Engineering Department and Irc for Renewable Energy and Power Systems (IRC-REPS), Dhahran, 31261, Saudi Arabia, SDAIA-KFUPM Joint Research Center for Artificial Intelligence, Dhahran, 31261, Saudi Arabia
An optimized back propagation neural network for automated evaluation of health condition using sensor data
Condition monitoring; Fault prediction; Fish swarm algorithm; Health status assessment; Machine learning; Optimized back propagation neural network
Ships and other large equipment must meet strict standards for equipment integrity and operational dependability in order to perform missions. To meet this demand, one of the essential linkages is to guarantee the long-term safe and healthy functioning of their power transmission equipment. The Optimized Back Propagation Neural Network (OBPNN) technique used in this study introduces a unique method for monitoring sensor data and evaluating the health state, with the SVM being optimized using the fish swarm algorithm (FSA). A major problem that maintenance is facing nowadays is reliable fault prediction. One of the trickiest difficulties is arguably automatically modelling typical behaviour from condition monitoring data, particularly when there is little information about actual failures. A data-driven learning framework with the best bandwidth selection is suggested to address this challenge. It is based on nonparametric density estimation for outlier identification and OBPNN for normality modelling. The distance to the separating hyper plane's log-normalization is used to provide a health score that is also available. The algorithm's viability is shown by experimental findings while evaluating the progression of a major defect over time in a marine diesel engine. Improved prediction capabilities and low false positive rates on healthy data are realized. 2023 The Authors
Mandala V.; Senthilnathan T.; Suganyadevi S.; Gobhinath S.; Selvaraj D.; Dhanapal R.
https://doi.org/10.1016/j.measen.2023.100846 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166478853&doi=10.1016%2fj.measen.2023.100846&partnerID=40&md5=bf195a640b5af570deeb150754c18f06
Mandala V., Enterprise Architect, Student in Indiana University, MS in Data Science, IU Bloomington, 107 S. Indiana Avenue, Bloomington, 47405, IN, United States; Senthilnathan T., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, _29, India; Suganyadevi S., Department of ECE, KPR Institute of Engineering and Technology, Coimbatore, India; Gobhinath S., Department of Electrical and Electronics Engineering, Dr.N.G.P. Institute of Technology, Coimbatore, India; Selvaraj D., Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, 641202, India; Dhanapal R., Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Tamilnadu, Coimbatore, India
Teaching Language Through Literature: Introducing Aspects of Literary Nonsense
Nonsense Literature first came into existence after the publishers of nursery rhymes started using the term to describe the works of childrens literature. It evolved into a genre of childrens literature that is widely accepted for being covertly intellectually stimulating. It uses puns, riddles, trick questions, contrasts in language, paradoxes and oxymorons to raise philosophically challenging questions that break our ideas of conventional patterns of understanding grammar, logic and reason. Nonsense literature is known for defying the rules of conventional linguistics. It plays with the boundaries of what is linguistically acceptable with its wordplay. However, nonsense literature understands and explores the structures of grammar, logic and reason better than any other literary genre. It is the best source of instruction for the ways in which the fundamental structures of grammar can be manipulated to create more structures of meaning which are transformational in nature. It uses the basic knowledge of grammar to create new ideas and rules using devices such as portmanteau and neologisms. Most course syllabi either focus on language or literature, never both simultaneously. Since literary nonsense plays with both linguistic structures in its writing and logic and reason in its story, it becomes the perfect material for teaching language as well as literature in the classroom. 2023, IUP Publications. All rights reserved.
IUP Journal of English Studies, Vol-18, No. 3, pp. 106-112.
Mukherjee G., Christ University (Deemed-to-be-University), Hosur Main Road, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India; Felix J.E., Christ University (Deemed-to-be-University), Hosur Main Road, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India
Estimation of spectroscopic parameters and TL glow curve analysis of Eu3+-activated CaY2O4 phosphor
The solid-state reaction method was utilised to create a down-conversion phosphor in an air environment in CaY2O4:Eu3+ nanocrystalline material. The calcination temperature was set at 1000 C, and the sintering temperature was set at 1300 C. Following annealing, confirmation of the crystallinity quality of the phosphor was accomplished by the use of X-ray diffraction analysis. The particle size was predicted to be 43.113 nm using Scherrer's formula. To produce down-conversion luminescence spectra, an excitation wavelength of 247 nm was applied with a fluorescence spectrophotometer. The PL got increasingly intense as the concentration of the dopant increased. The maximum intensity was measured at 2.0 mol% of Eu3+ ion, which gradually decreased as the concentration increased because of concentration quenching. To analyse spectrophotometric peak determinations, the approach developed by the Commission Internationale de l'lairage (CIE) was used. Thermoluminescence (TL) glow curve analysis of the CaY2O4:Eu3+-doped phosphor manufactured here revealed a wide TL centred at 225 C, which comprised of so many peaks that may be extracted by the computerised glow curve deconvolution (CGCD) approach using glow-fit software. The associated kinetic parameters were then determined. The prepared phosphor may be useful for application in various display devices upon excitation by 247 nm; the prominent 613 nm peak of the Eu3+ ion (5D0 ? 7F2) electric dipole transition features a red component. CaY2O4:Eu3+ phosphors show promise as materials for potential use in phosphor-converted white LEDs in the field of solid-state lighting technology. The linear connection that the TL glow curve has with UV dose provides evidence for its possible use in dosimetry. 2023 The Royal Society of Chemistry.
Ram T.; Verma N.; Kaur J.; Misra A.K.; Dubey V.; Dubey N.; Michalska-Doma?ska M.; Saji J.; Yadav R.S.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.1039/d3ra03200k https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171333662&doi=10.1039%2fd3ra03200k&partnerID=40&md5=38772b1a259683993a04d9a744509a63
Ram T., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Verma N., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Kaur J., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Misra A.K., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Dubey V., Department of Physics, North Eastern Hill University (NEHU), Meghalaya, Shillong, 493022, India; Dubey N., Department of Physics, Government Vishwanath Yadav Tamaskar Post Graduate Autonomous College, C.G., Durg, India; Michalska-Doma?ska M., Institute of Optoelectronics, Military University of Technology, Kaliskiego 2, Mazovia, Warsaw, 00-908, Poland; Saji J., Department of Sciences and Humanities, School of Engineering and Technology CHRIST (Deemed to be University), Bangalore, India; Yadav R.S., Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, 221005, India
Media Framing of Indian Green Fiscal Policy: A Survey of Environmental Policies Across Online News Portals
Climate Action; Energy Transition; Environmental Policy; Framing Analysis; Indian Budgets; Media Coverage
This research undertakes a framing analysis of news coverage from five leading Indian news portals, focusing on the environmental provisions of India's fiscal budgets for 2022-23 and 2023-24. These budgets marked a significant shift, being the first to prioritize "Energy Transition and Climate Action" and "Green Growth" as central themes. The analysis uncovers a spectrum of portrayals: from highlighting government initiatives and the potential economic windfalls of green policies to critical evaluations and concerns about their real-world implications. Specifically, the Times of India, with its 27 stories, leans heavily towards business and economic perspectives. The Hindu, through its five stories, both praises the government's green initiatives and critiques certain infrastructure projects. Hindustan Times offers a balanced view in its nine stories, juxtaposing government action plans against critiques of infrastructure spending. In contrast, The Scroll and The Wire, each with three stories, delve deeper, providing incisive, critical analyses of the government's environmental commitments. The study underscores that while independent news portals present nuanced insights, their narratives often stand in the shadow of mainstream portals that echo the government's perspective. Given the escalating global importance of environmental challenges, the findings strongly advocate for media outlets to establish dedicated environmental news sections. Such focused coverage could enhance public awareness and pressurize effective governmental action in the domain of green fiscal policies. 2023 by authors, all rights reserved.
Environment and Ecology Research, Vol-11, No. 5, pp. 712-726.
Boora S., Department of Media Studies, Christ University, India; Karakunnel M.T., Department of Media Studies, Christ University, India
Electrochemical investigation of neodymium doped vanadium pentoxide anchored on reduced graphene oxide nanocomposites for hybrid symmetric capacitor devices
Neodymium; rGO; Supercapacitors; Symmetric capacitor; Vanadium pentoxide
The modern world is highly dependent on portable electronic gadgets, so high-performance energy storage devices are a major demand for human beings. Here, we construct neodymium-doped vanadium pentoxide anchored with reduced graphene oxide nanocomposite (rGO/Nd:V2O5) as the electrode material for a high-performance symmetric capacitor device. The prepared electrodes showed pseudocapacitor behaviour and double layer capacitor behaviour, indicating the hybrid nature of the rGO/Nd:V2O5 electrode. Also, the V2O5, Nd:V2O5 and rGO/Nd:V2O5 electrodes show higher capacitance behaviour of 447, 677 and 1122 F/g at 1 A/g and 89 %, 94 % and 98 % cyclic efficiency at the 1000th cycle. However, the rGO/Nd:V2O5 symmetric capacitor device exhibits a higher capacitance value of 218 F/g at 1 A/g and a cyclic efficiency of 82 % at the 10000th cycle. Also, this electrode shows a low charge transfer resistance value of 12.67 ?. This result shows the prepared rGO/Nd:V2O5 electrode as the high-performance electrode material for the supercapacitor devices. 2023 Elsevier Ltd
Shankar V.U.; Suganya P.; Govindarajan D.; Ranjith B.; Saravanan C.; Muthuraja P.
https://doi.org/10.1016/j.est.2023.107955 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161630530&doi=10.1016%2fj.est.2023.107955&partnerID=40&md5=ba8606a547de1cef01d6471378f7bf10
Shankar V.U., Department of Physics, Annamalai University, Chidambaram, 608002, India; Suganya P., Department of Chemistry, Annamalai University, Chidambaram, 608002, India, C.K College of Engineering and Technology, Cuddalore, 607003, India; Govindarajan D., Department of Physics, Annamalai University, Chidambaram, 608002, India; Ranjith B., Department of Materials Physics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science, Chennai, India; Saravanan C., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Muthuraja P., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea
Phytochemical fingerprinting and evaluation of in silico anti-thrombotic properties of Justicia adhatoda L. and Cordia dichotoma Frost
analytical characterization; molecular docking; phytochemicals; thrombosis
The study aimed to characterize hydro-methanolic (25%) extracts of Justicia adhatoda L. (stem and flower) and Cordia dichotoma Frost. (Stem and fruit) and evaluate the in silico thrombolytic properties of the major phytocompounds present in the plants. In the preliminary fluorescence imaging through treatment by different reagents, both plants were found to be pharmacologically active. Further qualitative screening of phytochemicals, spectroscopy-based techniques, namely, UV-Vis Spectroscopy and FTIR, revealed various classes of compounds such as polyacetylenes, aglycones, quercetin, anthocyanins, anthraquinones, alkaloids, chalcones and aurones, flavanols, carotenoids, and flavanones. Further, by the application of Thin Layer Chromatography, phenols and flavonoids, namely Catechol, Kaempferol, Quercetin, and Lutein, along with other compounds like Chlorophyll b, Glutamic Acid, and Tryptophan were identified from the extracts. Finally, in the molecular docking study, three compounds, Datiscoside and Robinin of C. dichotoma and Daucosterol of J. adhatoda showed high binding energies (-10.224,-9.547 and-9.262 kcal mol-1 respectively) towards the G-protein coupled thrombotic platelet aggregation receptor P2Y1 when compared to that of the control MRS2500 (-7.148 kcal mol-1). Articles by the authors; Licensee SMTCT, Cluj-Napoca, Romania.
Notulae Scientia Biologicae, Vol-15, No. 3
Horticulture and Forestry Society from Transylvania
https://doi.org/10.55779/nsb15311625 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174036845&doi=10.55779%2fnsb15311625&partnerID=40&md5=43e4a03399e139da73660743a6419c7e
Paul A.M., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India; Nag A., CHRIST (Deemed to be University), Department of Life Sciences, Karnataka, Bangalore, 560029, India
Palladium immobilized on guanidine functionalized magnetic nanoparticles: a highly effective and recoverable catalyst for ultrasound aided Suzuki-Miyaura cross-coupling reactions
We designed and prepared a palladium catalyst that can be magnetically recyclable by anchoring guanidine moiety on the surface of Fe3O4 nanoparticles, named Fe3O4@SiO2-TCT-Gua-Pd. It was established to be a potent catalyst for the Suzuki-Miyaura cross-coupling reaction (SMCR) in the EtOH/H2O system under ultrasonic conditions. FT-IR spectroscopy, field-emission scanning electron microscopy (FESEM), energy dispersive X-ray (EDX) microanalysis, vibration sample magnetometry (VSM), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), thermogravimetric analysis (TGA), and inductively coupled plasma atomic emission spectrometry (ICP-AES) analyses were used to characterize the structure of the Fe3O4@SiO2-TCT-Gua-Pd nanoctalyst. The Fe3O4@SiO2-TCT-Gua-Pd catalyst produced favorable coupled products with excellent yields and was harmonious with various aryl halides and aryl boronic acids. The stability, low palladium leaching, and heterogeneous nature of the nanocatalyst were confirmed by a hot-filtration test. The palladium nanocatalyst could be easily recovered by magnetic field separation and recycled at least 6 times in a row without noticeable loss in its catalytic activity. 2023 The Royal Society of Chemistry.
Hegde S.; Nizam A.; Vijayan A.; Dateer R.B.; Krishna S.B.N.
New Journal of Chemistry, Vol-47, No. 40, pp. 18856-18864.
https://doi.org/10.1039/d3nj03444e https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174388249&doi=10.1039%2fd3nj03444e&partnerID=40&md5=4d9a7ee7ceda5c80fd018c66801a7576
Hegde S., Department of Chemistry, CHRIST, Deemed to be University, Bangalore, 560029, India; Nizam A., Department of Chemistry, CHRIST, Deemed to be University, Bangalore, 560029, India; Vijayan A., Department of Chemistry, CHRIST, Deemed to be University, Bangalore, 560029, India; Dateer R.B., Centre for Nano and Material Sciences, Jain University, Karnataka, Bangalore, 562112, India; Krishna S.B.N., Institute for Water and Wastewater Technology, Durban University of Technology, PO Box 1334, Durban, 4000, South Africa, Department of Biomedical and Clinical Technology, Durban University of Technology, Durban, 4000, South Africa
Discovery of inverse-Compton X-ray emission and estimate of the volume-averaged magnetic field in a galaxy group
galaxies: clusters: individual: MRC 0116+111; galaxies: clusters: intracluster medium; magnetic fields; X-rays: galaxies: clusters
Observed in a significant fraction of clusters and groups of galaxies, diffuse radio synchrotron emission reveals the presence of relativistic electrons and magnetic fields permeating large scale systems of galaxies. Although, these non-thermal electrons are expected to upscatter cosmic microwave background photons up to hard X-ray energies, such inverse-Compton (IC) X-ray emission has so far not been unambiguously detected on cluster/group scales. Using deep, new proprietary XMM-Newton observations (?200 ks of clean exposure), we report a 4.6 ? detection of extended IC X-ray emission in MRC 0116 +111, an extraordinary group of galaxies at z = 0.131. Assuming a spectral slope derived from low frequency radio data, the detection remains robust to systematic uncertainties. Together with low frequency radio data from the Giant Metrewave Radio Telescope (GMRT), this detection provides an estimate for the volume-averaged magnetic field of (1.9 0.3) ?G within the central part of the group. This value can serve as an anchor for studies of magnetic fields in the largest gravitationally bound systems in the Universe. 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
Mernier F.; Werner N.; Bagchi J.; Gendron-Marsolais M.-L.; Gopal-Krishna; Guainazzi M.; Richard-Laferrie A.; Shimwell T.W.; Simionescu A.
Monthly Notices of the Royal Astronomical Society, Vol-524, No. 4, pp. 4939-4949.
https://doi.org/10.1093/mnras/stad2093 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168486459&doi=10.1093%2fmnras%2fstad2093&partnerID=40&md5=986b6d4418d9da69bc0fadfd45d54045
Mernier F., NASA Goddard Space Flight Center, Code 662, Greenbelt, 20771, MD, United States, Department of Astronomy, University of Maryland, College Park, 20742-2421, MD, United States, European Space Agency (ESA), European Space Research and Technology Centre (ESTEC), Keplerlaan 1, Noordwijk, NL-2201 AZ, Netherlands, SRON Netherlands Institute for Space Research, Niels Bohrweg 4, Leiden, NL-2333 CA, Netherlands; Werner N., Department of Theoretical Physics and Astrophysics, Faculty of Science, Masaryk University, Kotlsk2, Brno, CZ-611 37, Czech Republic; Bagchi J., Department of Physics & Electronics, Christ (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Gendron-Marsolais M.-L., European Southern Observatory, Alonso de Cdova 3107, Vitacura, Casilla, Santiago de Chile, 19001, Chile, Instituto de Astrofica de Andaluc (IAA-CSIC), Glorieta de la Astronom, Granada, E-18008, Spain; Gopal-Krishna, UM-DAE Centre for Excellence in Basic Sciences (CEBS), Vidyanagari, Mumbai, 400098, India; Guainazzi M., European Space Agency (ESA), European Space Research and Technology Centre (ESTEC), Keplerlaan 1, Noordwijk, NL-2201 AZ, Netherlands; Richard-Laferrie A., Institute of Astronomy, Madingley Road, Cambridge, CB3 0HA, United Kingdom; Shimwell T.W., ASTRON, Netherlands Institute for Radio Astronomy, Oude Hoogeveensedijk 4, Dwingeloo, NL-7991 PD, Netherlands; Simionescu A., SRON Netherlands Institute for Space Research, Niels Bohrweg 4, Leiden, NL-2333 CA, Netherlands, Leiden Observatory, Leiden University, P.O. Box 9513, Leiden, NL-2300 RA, Netherlands, Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Kashiwa, 277-8583, Japan
Phosphorus-doped molybdenum disulfide as counter electrode catalyst for efficient bifacial dye-sensitized solar cells
Bifacial; Electrochemical activity; Exfoliation; Heteratom doping; Rapid charge transfer
MoS2 is a promising counter electrode material for dye-sensitized solar cell owing to its optical and electrical properties and two-dimensional layered structure. However, it still suffers from minimal conductivity, poor charge transport and less active sites. The present study offers a promising method for enhancing catalytic and fast charge transfer in MoS2 through heteroatom doping of phosphorus. A facile one-step hydrothermal treatment was acquired to do the phosphorus doping. The spin-coated P-doped MoS2 (MSP2) counter electrode (CE) shows a superior power conversion efficiency of 7.93% for front illumination and 5.34% for rear illumination, outperforming Pt-based (7.41% and 5.75%) CE. Thus, phosphorous incorporation increases the number of active sites and improves the catalytic property of the material. The P-doped MoS2 (MSP2) CE film also shows high transmittance, making it a suitable choice for bifacial type of solar cell. 2023 Elsevier Ltd
Upadhyay S.; Rao A.A.; Narendhiran S.; Jafri R I.; Balachandran M.
https://doi.org/10.1016/j.mtener.2023.101412 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172030070&doi=10.1016%2fj.mtener.2023.101412&partnerID=40&md5=b6361bc5d220b522259f0876500a5446
Upadhyay S., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Rao A.A., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Narendhiran S., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Jafri R I., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India
Globalisation, Privacy, and Data Protection A Glimpse of Changing Contours from a Human Rights Perspective
Though the union government made efforts to protect the data of individuals with the introduction of the Personal Data Protection Bill, 2019 and subsequently with the enactment of the Digital Personal Data Protection Bill, 2023, there are various lacunae which still need to be resolved. Against this background, the right to privacy and data protection in a globalised world is discussed, along with the need to bring about reforms for the effective implementation and protection of the same. 2023 Economic and Political Weekly. All rights reserved.
Economic and Political Weekly, Vol-58, No. 39, pp. 21-23.
Jain S.A., The School of Law, CHRIST (Deemed to be University), Bengaluru, India
Predicting Crude Oil Future Price Using Traditional and Artificial Intelligence-Based Model: Comparative Analysis
ALSTM; ARIMA; Artificial intelligence; crude oil; forecast; RNN-LSTM
Crude oil is an imperative energy source for the global economy. The future value of crude oil is challenging to anticipate due to its nonstationarity in nature. The focus of this research is to appraise the explosive behavior of crude oil during 20072022, including the most recent influential crisis COVID-19 pandemic, to forecast its prices. The crude oil price forecasts by the traditional econometric ARIMA model were compared with modern Artificial Intelligence (AI)based Long Short-Term Memory Networks (ALSTM). Root mean square error (RMSE) and mean average percent error (MAPE) values have been used to evaluate the accuracy of such approaches. The results showed that the ALSTM model performs better than the traditional econometric ARIMA forecast model while predicting crude oil opening price on the next working day. Crude oil investors can effectively use this as an intraday trading model and more accurately predict the next working day opening price. 2023 World Scientific Publishing Co. Pte Ltd. All rights reserved.
Kadam S.; Agrawal A.; Bajaj A.; Agarwal R.; Kalra R.; Shah J.
Journal of International Commerce, Economics and Policy, Vol-14, No. 3
Kadam S., Symbiosis Institute of Business Management Pune Symbiosis International (Deemed University), Maharashtra, India; Agrawal A., Jaypee Institute of Information Technology, Noida, India; Bajaj A., GISMA School of Business University of Applied Sciences, Potsdam, Germany; Agarwal R., University School of Business Chandigarh University, Punjab, Mohali, 140413, India; Kalra R., School of Business Management CHRIST (Deemed to be University), Bangalore, India; Shah J., Amity Business School Amity University, Panvel, Mumbai, India
A new lightweight data security system for data security in the cloud computing
Cloud computing; Cyber security; Cyber threats; Data security
In recent decades, data has proved indispensable to all facets of human existence. The development of several applications has resulted in the exponential expansion of data. This information can be encrypted and stored in secure areas. Cloud computing is the technology that can be used to store these massive data sets. The article suggests a Cloud-based Data Security System (C-DSS) that employs a five-tiered trust model for cloud-edge data-sharing architectures. The data owner can select an appropriate trust level and Cyber Threat Information (CTI) sanitization procedure before releasing CTI for analytic strategy. In addition, this cleansing method is conducted either by an end device or by the cloud service supplier, based on the organization's degree of confidence in latter. Research presents the trust architecture, cloud architecture, and installation methodology, all of which are intended to meet widest variety of needs for exchanging secret CTI information. The testing findings high degree of data security and an evident improvement in terms of cypher processing time and security services when compared to the encryption systems that are most often employed in cloud technology. In conclusion, research briefly outlines development and evaluation performed so far by pilot applications confirming the architecture. 2023 The Authors
Mohammed S.; Nanthini S.; Bala Krishna N.; Srinivas I.V.; Rajagopal M.; Ashok Kumar M.
https://doi.org/10.1016/j.measen.2023.100856 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164998542&doi=10.1016%2fj.measen.2023.100856&partnerID=40&md5=d12b7e8622c845467d2ee7b1c1590b4f
Mohammed S., University of Technology and Applied Sciences Sur, Oman; Nanthini S., AP(SG), Department of AI & DS, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Science, Thandalam, Chennai, India; Bala Krishna N., Department of CSE, Mohan Babu University &SreeVidyanikethan Engineering College, Andhrapradesh, Tirupati, 517102, India; Srinivas I.V., K.J. Somaiya Institute of ManagementData Science and Technology Dept, Vidya Nagar, Vidya vihar (East), Mumbai, 400077, India; Rajagopal M., School of Business and Management, Christ University, Bangalore, 560029, India; Ashok Kumar M., Faculty of Computer Science, Department of Computer Science and Software Engineering, Skyline University Nigeria, Kano, Nigeria
NuSTAR and AstroSat observations of GX 9+1: spectral and temporal studies
accretion, accretion discs; stars: neutron; X-rays: binaries; X-rays: individual: GX 9+1
We have studied the spectro-temporal properties of the neutron star low-mass X-ray binary GX 9+1 using data from NuSTAR/Focal Plane Module and AstroSat/Soft X-ray Telescope and Large Area X-ray Proportional Counter (LAXPC). The hardness-intensity diagram of the source showed it to be in the soft spectral state (banana branch) during both observations. NuSTAR spectral analysis yielded an inclination angle (?) = 29 and inner disc radius (Rin) ? 19 km. Assuming that the accretion disc was truncated at the AlfvCrossed D sign ?0.9) with a monotonic increase in mass accretion rate () along the banana branch. The analysis also showed the presence of absorption edges at ?1.9 and ?2.4 keV, likely due to Si xiii and S xv, respectively. Temporal analysis with LAXPC-20 data in the 0.02-100 Hz range revealed the presence of noise components, which could be characterized by broad Lorentzian components.
Thomas N.T.; Gudennavar S.B.; Bubbly S.G.
Monthly Notices of the Royal Astronomical Society, Vol-525, No. 2, pp. 2355-2365.
https://doi.org/10.1093/mnras/stad2379 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171152858&doi=10.1093%2fmnras%2fstad2379&partnerID=40&md5=40beca5f34092145a75633fa4d1e1e10
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