Two-dimensional Ti3C2Tx MXenes as a catalyst support for the synthesis of 1,4-disubstituted-1,2,3-triazoles via azide-nitroalkene oxidative cycloaddition
1,2,3-triazoles; Cycloaddition; MXenes; Ti3C2Tx; Two-dimensional
Two-dimensional transition metal carbides/nitrides: MXenes have become a prime choice for researchers to exploit their outstanding properties for various applications in different fields majorly including energy, health and environment. Interestingly, there are no reports of utilizing 2D materials especially MXenes as a catalyst support for organic transformations. In the present study, we have utilized 2D Ti3C2Tx MXenes as a catalyst support for the synthesis of 1,4-disubstituted-1,2,3-triazoles via azide-nitroalkene cycloaddition for the first time. Reusability of Ti3C2Tx MXene catalyst up to five cycles without the loss of catalytic activity with appreciable yields of the product is the noteworthy feature of the present protocol. The synthesized 1,2,3-triazole derivatives possessing long alkyl chain upto fourteen carbon atoms on terminal nitrogen in triazole ring could become a good precursors to give a liquid crystalline properties beyond its biological properties. Nontoxic catalyst, catalyst reusability, broad substrate scope, and good yield are some of the salient features of the present protocol. 2023 Elsevier B.V.
Verma S.K.; Verma R.; Girish Y.R.; Verma S.; Pramoda K.; Vaishnav Y.; Saji J.; Kumar K.S.S.
Journal of Molecular Structure, Vol-1281
https://doi.org/10.1016/j.molstruc.2023.135145 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148545324&doi=10.1016%2fj.molstruc.2023.135145&partnerID=40&md5=e8ddc096ed29ad0e284ec0f189c86a3b
Verma S.K., School of Chemistry and Chemical Engineering, Yulin University, Yulin, 719000, China, Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization, Yulin University, Yulin, 719000, China; Verma R., School of Chemistry and Chemical Engineering, Yulin University, Yulin, 719000, China, Shaanxi Key Laboratory of Low Metamorphic Coal Clean Utilization, Yulin University, Yulin, 719000, China; Girish Y.R., Centre for Research & Innovations, BGSIT, Adichunchanagiri University, B.G. Nagara, Mandya District, Karnataka, 571448, India; Verma S., University college of Pharmacy Raipur, Pt. Deendayal Upadhyay Memorial Health, Sciences and Aayush University of Chhattisgarh, Chhattisgarh, Raipur, 492010, India; Pramoda K., Centre for Nano and Material Sciences, Jain University, Jain Global Campus, Bangalore-, Ramanagaram, 562112, India; Vaishnav Y., Faculty of Pharmaceutical Sciences, Shri Shankaracharya Techincal Campus, Chattisgarh, Junwani Bhilai, 491001, India; Saji J., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to be university), Bangalore, 560029, India; Kumar K.S.S., Department of Studies in Chemistry, University of Mysore, Manasagangotri, Mysuru, 570 006, India
Iron pulsing, a cost effective and affordable seed invigoration technique for iron bio-fortification and nutritional enrichment of rice grains
Bio-fortification; Hidden hunger; Iron; Phytate; Rice
Rice being a major staple food for millions of people, it has been one of the major targets for bio-fortification and iron bio-fortification in rice has been in prime focus to address global micronutrient malnutrition. Commonly practiced methods for obtaining Fe biofortified rice includes soil amendments and foliar spray with iron salts, breeding and development of transgenic rice varieties with Fe-enriched grain are associated with impediments like high cost, labor intensiveness, sub-optimal outcome and approval for commercialization respectively. Iron pulsing technique has reportedly enhanced the carbon and nitrogen assimilation in rice seedlings, which has been translated in yield. Based on the previous findings, in the present study, we have undermined the efficacy of iron pulsing, in improving the iron content and nutritional status of rice kernel obtained from pulsed plants. The present study documents that kernel of seeds obtained from iron pulsed plants have a higher amounts of iron, carbohydrate, protein, lipid, vitamins, nutrient and anti-oxidants than that of non-treated ones. The iron localization studies revealed that iron was mostly present in the endosperm and embryo. Besides, the ferritin expression levels also validated the fact that, the treated grains have accumulated more iron. Thus, iron-pulsing can serve as a novel and propitious sustainable agricultural innovation for iron bio-fortification and improvisation of the overall nutritional value of the rice grains that is affordable, user and consumer friendly in years to come. 2023, The Author(s), under exclusive licence to Springer Nature B.V.
Dey S.; Paul S.; Nag A.; Sengupta R.; Gopal G.; Jose J.; Xavier J.; Mukherjee A.; Kundu R.
Plant Growth Regulation, Vol-100, No. 2, pp. 545-559.
Springer Science and Business Media B.V.
Dey S., Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, India; Paul S., Institute of Health Sciences, Presidency University, (2nd Campus), Newtown, Kolkata, 700156, India; Nag A., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Sengupta R., Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, India; Gopal G., Centre for Nano Biotechnology, VIT University, Tamil Nadu, Vellore, 632014, India; Jose J., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Xavier J., Department of Life Sciences, CHRIST (Deemed to Be University), Bangalore, 560029, India; Mukherjee A., Centre for Nano Biotechnology, VIT University, Tamil Nadu, Vellore, 632014, India; Kundu R., Department of Botany, University of Calcutta, 35 Ballygunge Circular Road, Kolkata, 700019, India
Design and performance analysis of eight channel demultiplexer using 2D photonic crystal with trapezium cavity
crosstalk; DWDM demultiplexer; photonic crystal; quality factor; resonant wavelength; trapezium
In this work, an eight-channel dense wavelength division multiplexing demultiplexer is designed with a 2D photonic crystal triangular lattice. The proposed demultiplexer consists of a centre bus waveguide, an isosceles trapezium resonant cavity, and an eight-circular ring cavity (CR1, CR2, CR3, CR4, CR5, CR6, CR7, and CR8). The point defect resonant cavity consists of seven rods to drop different wavelengths from eight cavities, each of eight drop waveguides. The design is very simple to realise. The finite difference time domain and plane wave expansion method methods were used to analyse the proposed designs band structure and transmission spectrum. The resonant wavelengths are 1.5441 ?m, 1.5443 ?m, 1.544 49 ?m, 1.5447 ?m, 1.5449 ?m, 1.5451 ?m, 1.5453 ?m, and 1.5455 ?m respectively. The proposed device provides a high-quality factor, transmission efficiency, and low crosstalk. The devices footprint is 490.0 ?m2, which can be easily incorporated into photonic integrated circuits. 2023 IOP Publishing Ltd.
Kavitha V.; Balaji V.R.; Dhanabalan S.S.; Sridarshini T.; Robinson S.; Radhouene M.; Hegde G.; Sugesh R.G.J.
Journal of Optics (United Kingdom), Vol-25, No. 6
https://doi.org/10.1088/2040-8986/acceb3 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159235231&doi=10.1088%2f2040-8986%2facceb3&partnerID=40&md5=cb41aef386ecd65f4a24911e7a8ba902
Kavitha V., Mount Zion College of Engineering and Technology, Tamil Nadu, Pudukkottai, India; Balaji V.R., School of Electronics Engineering, School of Electronics Engineering, Vellore Institute of Technology, Tamil Nadu, Chennai, India; Dhanabalan S.S., Functional Materials and Microsystems Research Group, School of Engineering, RMIT University, Melbourne, VIC, Australia; Sridarshini T., Department of Electronics and Communication Engineering, PSG College of Technology, Tamil Nadu, Coimbatore, India; Robinson S., Mount Zion College of Engineering and Technology, Tamil Nadu, Pudukkottai, India; Radhouene M., University of Tunis El Manar, National Engineering School of Tunis Communication Systems, Tunis, LR-99-ES21, Tunisia; Hegde G., Center for Bio Systems Science and Engineering, Indian Institute of Science, Karnataka, Bengaluru, India; Sugesh R.G.J., Department of Electronics and Communication Engineering, School of Engineering and Technology, CHRIST University, Karnataka, Bengaluru, India
An individualised psychosocial intervention program for persons with MND/ALS and their families in low resource settings
family caregiving; low resource settings; Motor Neuron Disease; psychosocial care; social context
Motor Neuron Disease (MND) leads to significant psychosocial distress for the person with the illness and caregivers. Psychosocial factors influence the management and quality of life to a significant degree. Objective: To develop individualised psychosocial intervention program for people with MND and their families in India. Methods: People with MND and healthcare staff were constructively involved in co-designing the intervention program in four phases adapted from the MRC framework: 1. A detailed need assessment phase where 30 participants shared their perceptions of psychosocial needs 2. Developing the intervention module (synthesis of narrative review, identified needs); 3. Feasibility testing of the intervention program among seven participants; 4. Feedback from participants on the feasibility (acceptance, practicality adaptation). The study adopted an exploratory research design. Results: Intervention program of nine sessions, addressing psychosocial challenges through the different stages of progression of the illness and ways to handle the challenges, specific to the low resource settings, was developed and was found to be feasible. People with MND and families who participated in the feasibility study shared the perceived benefit through feedback interviews. Conclusion: MND has changing needs and challenges. Intervention programme was found to be feasible to be implemented among larger group to establish efficacy. The Author(s) 2022.
Thomas P.T.; Warrier M.G.; Arun S.; Bhuvaneshwari B.; Vengalil S.; Nashi S.; Preethish-Kumar V.; Polavarapu K.; Rajaram P.; Nalini A.
Chronic Illness, Vol-19, No. 2, pp. 458-471.
Thomas P.T., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Warrier M.G., Department of Psychology, CHRIST (Deemed to be University), Bangalore, India; Arun S., Department of Counselling Psychology, Montfort College, Bangalore, India; Bhuvaneshwari B., Department of Psychiatry, St Johns Medical college and hospital, Bangalore, India; Vengalil S., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Nashi S., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Preethish-Kumar V., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Polavarapu K., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Rajaram P., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Nalini A., Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India
decomposition-closed graph; edge neighborhood-closed graph; S-interior; S-neighborhood; Spanning graph topology
The collection of subgraphs of a graph G containing G and the null graph K0, which is closed under union and intersection, is said to be a graph topology defined on G. In this paper, we investigate the idea of spanning graph topology of a graph G, where we consider the collection of spanning subgraphs of G satisfying the axioms analogous to the axioms of graph topology. We begin with the basic concepts of spanning graph topological space and later and introduce two spanning subgraph complements to define closed graphs in spanning graph topological spaces. 2023 World Scientific Publishing Company.
Asian-European Journal of Mathematics, Vol-16, No. 7
Aniyan A., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore 560029, Karnataka, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to Be University), Bangalore 560029, Karnataka, India
Artistic Representation of Gender Nonconforming Female Bodies in Social Media: A Study of Select Indian Graphic Artists on Instagram
The study critically examines gender nonconforming female identities via their sex-ualized representations through artistic imagination on Instagram. Instagram representation becomes a political act where this visual subversion allows the queer to reclaim their non-binary identity and thus articulate their choices through their body. The digital graphic art taken under study is select images from the Instagram pages of Indian artists artwhoring, aorists, and sayartic. The research study examines the question of an ideal hegemonic femininity perpetuated by the rhetoric of Indian heteronormative patriarchal assertions. It analyses select images that defy hegemonic femininity and gender binary by embodying an amalgamation of masculinity and femininity and lesbian desire which forms an act of subversion. The methodology of critical discourse analysis is employed to study Instagram art and the critical frameworks of the fantasy female body, and the notion of hetero-patriarchal femininity. In conclusion, the study discusses the treatment of female gender non-conforming bodies, their appearance, lesbian desire, and body image. Such transgressive depiction of bodies successfully situates the female body beyond the dichotomy of masculinity and femininity. 2023 The Author(s). All rights reserved.
https://doi.org/10.14321/qed.10.2.0070 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190779636&doi=10.14321%2fqed.10.2.0070&partnerID=40&md5=261da805202862e9d8c8964f6ccaec01
Bose A., Department of English and Cultural Studies, CHRIST University, India; Tanupriya, Department of English and Cultural Studies, CHRIST (Deemed to be University), Delhi NCR campus, India; Singh A., Department of English and Cultural Studies, CHRIST (Deemed to be University), Delhi NCR campus, India
Determinants of Food Security in the Gulf Cooperation Council: A Cointegration Approach with an Autoregressive Distributed Lag Model
Adjustment rate; Autoregressive distributed lag model; Food import bill; Food security; Gulf cooperation council
This paper examines the dynamics of the food import bill for the Gulf Cooperation Council (GCC) during the period 1980 2019 using a co-integration approach of the autoregressive distributed lag (ARDL) model. The study ascertains that the food market in the GCC is highly dependent on imports, which makes it vulnerable to any import disruption. The model confirms that there is a long-term relationship between the food import bill and its dynamics, with an adjustment rate of 37%, indicating that 37% of the deviations from the long-run path are corrected annually. The study demonstrates that in the long run, the food import bill was positively influenced by Gross domestic product (GDP) per capita, exports, inflation, global food prices, and regional instability and negatively influenced by the local production index. Population growth has a significant impact only in the short run. The implications of the findings were discussed, and a food security framework for the GCC has been developed. Engineered Science Publisher LLC 2023.
Devesh S.; Ibrahim O.A.; Shruthaalaxmi; Abhishek N.
https://doi.org/10.30919/esfaf904 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163639324&doi=10.30919%2fesfaf904&partnerID=40&md5=00978514e36c5e1fceb9b70e898b76aa
Devesh S., School of Business and Management, Christ University (Deemed to be University), Yeshwanthpur Campus, Bangalore, 560 073, India; Ibrahim O.A., Department of Postgraduate Studies and research, College of Banking and Financial Studies, P.O. Box No. 3122, Muscat, 112, Oman; Shruthaalaxmi, Department of Humanities and Social Sciences, University of Toronto, Toronto, M1C3A8, ON, Canada; Abhishek N., Institute of Management and Commerce, Srinivas University, Mangalore, 575002, India
The Eff ect of Music and Editing Style on Subjective Perception of Time When Watching Videos An Eye-tracking Study
arousal; audiovisual media; duration judgment; editing style; fi xations; passage of time judgment; temporal processing; time perception
Arousal, editing style, and eye movements have been implicated in time perception when watching videos. However, little multimodal research has explored how manipulating both the auditory and visual properties of videos aff ects temporal processing. This study investigated how editing density and music-induced arousal aff ect viewers time perception. Thirty-nine participants watched six videos varying in editing density and music while their eye movements were recorded. They estimated the videos duration and reported their subjective experience of time passage and emotional involvement. Fast-paced editing was associated with the feeling of time passing faster, a relationship mediated by fi xation durations. Higharousal background music was also associated with the feeling of time passing faster. The consequences of this study in terms of a possible auditory driving eff ect are explored. The Author/s
Projections (New York), Vol-17, No. 2, pp. 41-61.
https://doi.org/10.3167/proj.2023.170203 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184781684&doi=10.3167%2fproj.2023.170203&partnerID=40&md5=5818f52afc74253e677368324b6bcba9
Sam K.N., India; Reddy K.J., Centre for Research, CHRIST (Deemed to be University), Bengaluru, India
VERTEX INDUCED k-EDGE COLORING AND VERTEX INCIDENT k-EDGE COLORING OF GRAPHS
vertex incident 2-edge coloring number; vertex incident k-edge coloring number; vertex induced 2-edge coloring number; vertex induced k-edge coloring number
Let k ? 2 be a natural number. Then the vertex induced k-edge coloring number ? vik(G) of a simple connected graph G = (V,E) is the highest number of colors needed to color the edges of a graph G such that the edges of the subgraph induced by the closed neighborhood N[v] of the vertex v ? V (G) receives not more than k colors. The vertex incident k-edge coloring number ? vink(G) of a simple connected graph G = (V,E) is the highest number of colors required to color the edges of a graph G such that the edges incident to a vertex v in graph G receives not more than k colors. In this paper, we initiate the study on ? vik(G) and ? vink(G). We also determine the exact values of ? vik(G) and ? vink(G) for k = 2 for some special graphs. 2023 Yarmouk University. All rights reserved.
Jordan Journal of Mathematics and Statistics, Vol-16, No. 2, pp. 187-202.
https://doi.org/10.47013/16.2.1 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170845794&doi=10.47013%2f16.2.1&partnerID=40&md5=761abc4e3e8e72d8fdf26940dcbde5b3
Joseph A., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Dominic C., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India
A formative measurement model and development of quality of work-life scale based on two-factor theory: evidence from Indian private industries
Formative construct; Indian sector; QoWL index; Two factor (Herzberg) motivational theory
Purpose: This study examines the quality of work-life (QoWL) as a formative construct and validates the scale in an Indian context. Taking a cue from the two-factor (Herzberg) theory, the study developed and validated a formative assessment model of QoWL in the current scenario. Design/methodology/approach: Cross-sectional data and a self-administered questionnaire were used to analyze the QoWL scale based on a sample of 841 respondents from IT/ITES, BFSI, CPG and manufacturing sectors. Indicators/items of QoWL were considered a first-order reflective construct, and factors of QoWL were considered second-order formative construct in the study. Embedded two-stage approach was used to assess the antecedent construct in the model in which QoWL was measured with seven formative indicators in stage one, and all the constructs of the QoWL are measured with a single item (Global_QWL, i.e. the essence of all constructs) in stage two. Findings: The study found QoWL as a formative construct with seven significant dimensions; namely, hygiene factors included fairness in compensation (FC), job security (JS), interpersonal relationship (IR), health and wellbeing (HWB), where motivational factors had rewards and career growth (RG), work-life balance (WLB) and learning and development (LD). The study also indicated the strong association of a single item (global_QWL) with all constructs of QoWL. The study findings conceptualize a QoWL as a formative construct within the mentioned sector and can be generalized and extended to other sectors of the economy as well. Research limitations/implications: Future researchers can take guidance to deal with the formative construct in the development and validation of scale in various topics in the field of HRM. Future researchers can extend the study across cities and different sectors. Practical implications: In this VUCA world, employees have to be constantly on their toes to ensure their organization remains relevant. In this context, the least organization can do for their employees is to offer a conducive environment and favorable QoWL. This study aims to assist the key decision-makers in applying the QoWL index as a formative construct and aiding them in improving the quality of their decisions. Social implications: Researcher believes that applying the QoWL index as a formative construct can aid decision-makers in improving the quality of their decisions by equipping them with relevant inputs and knowledge. Government can focus on the employees' welfare and introduce the current motivational and hygiene factors in the area of quality of life of the Indians. Originality/value: Formative assessment measurement of QoWL model was validated with the two-factor theory to understand the work environment of India in the private sector across different sectors. The unique finding of the study was a single item (global_QWL) to conclude the QoWL index as a formative construct by redundancy analysis. 2022, Emerald Publishing Limited.
Benchmarking, Vol-30, No. 5, pp. 1713-1733.
https://doi.org/10.1108/BIJ-11-2020-0571 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131956881&doi=10.1108%2fBIJ-11-2020-0571&partnerID=40&md5=69c5ce6a325c2f66a862150170adb991
Yadav R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, India
Homosexuality as a Dominant Narrative in Class
Economic and Political Weekly, Vol-58, No. 19, pp. 63-65.
Dev N., the Department of English and Cultural Studies, CHRIST (deemed-to-be University), Bengaluru, India; Dev N., the Department of Media Studies, Kristu Jayanti College, Bengaluru, India
Enhanced Sensing Performance of an Ammonia Gas Sensor Based on Ag-Decorated ZnO Nanorods / Polyaniline Nanocomposite
Ammonia Gas Sensor; Nanocomposites; Polyaniline; Silver; Zinc Oxide
The development of low-cost ammonia sensors with high sensitivity and selectivity has gained considerable interest. Though the response of these sensors at room temperature is low and needs enhancement. In the present study high sensitivity ammonia gas sensors based on nanocomposite films of polyaniline (PANI) and with varying ZnO concentrations were synthesized and investigated. With a loading of 10 at% ZnO, the gas sensing response of 59 % was obtained for 120 ppm NH3 gas. The gas response was further enhanced by decorating the ZnO nanorods with different concentrations of silver (Ag) nanoparticles. The Ag-decorated ZnO nanorods were embedded in the PANi matrix using the in-situ oxidative polymerization technique. It was shown that PANi ZnO, p-n junction, and the introduction of porosity in nanocomposite act synergistically in increasing the resistance caused by the deprotonation of PANi by NH3. Among various compositions studied, 2 % loading of Ag in ZnO embedded in PANi matrix, thin films were found to be highly selective and sensitive towards NH3 gas at room temperature with a chemiresistive response of 70 % at 120 ppm and a recovery time of less than 120 s. The selectivity of the nanocomposite was also studied towards various reducing and oxidizing gasses. 2023 Wiley-VCH GmbH.
Karmakar N.; Jain S.; Fernandes R.; Shah A.; Patil U.; Shimpi N.; Kothari D.
https://doi.org/10.1002/slct.202204284 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159103067&doi=10.1002%2fslct.202204284&partnerID=40&md5=269e076553baf48ffe494fef12fae68b
Karmakar N., Dwarkadas. J. Sanghvi College of Engineering, Vile Parle, Mumbai, 400 056, India; Jain S., Department of Chemistry, Jai Hind College, Mumbai, 400020, India; Fernandes R., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Shah A., Department of Chemistry, University of Mumbai, Santacruz, Mumbai, 400098, India; Patil U., Wilson College, Chowpatty, Mumbai, 400007, India; Shimpi N., Department of Chemistry, University of Mumbai, Santacruz, Mumbai, 400098, India; Kothari D., Department of Physics, University of Mumbai Santacruz, Mumbai, 400098, India
Nudges and choice architecture in public policy: A bibliometric analysis
Behavioral economics; Choice architecture; Nudges; Public policy
In recent years, nudges and choice architecture have gained significant attention amongst researchers, particularly in the domain of public policymaking. This study contributes to the existing literature on the application of nudges and choice architecture in public policy through a bibliometric analysis. A total of 419 documents from the Web of Science database from 2010 to 2021 were analysed, identifying the most prolific authors, foundational works, and sources, along with primary research themes. The study identifies keywords and themes that shape the current research trends and visualizes the intellectual structure of empirical works. The findings show an increasing focus on this subject area over the past decade, with a growing interest in themes such as dietary habits, healthcare, effectiveness of behavioral interventions, and sustainable choices. The application of nudges and choice architecture in policies related to health, food consumption, and diet management has also become increasingly prevalent as evidenced by the exponential growth in publications on these topics. 2023 Elsevier Inc.
Journal of Behavioral and Experimental Economics , Vol-104
https://doi.org/10.1016/j.socec.2023.102020 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153512780&doi=10.1016%2fj.socec.2023.102020&partnerID=40&md5=59da31eb40e230f3e690cf1cd38e803e
Victor V., Accounting, Economics and Finance Area, T A Pai Management Institute, Manipal Academy of Higher Education, Manipal, 576104, India; Nair A.M., Department of Economics, CHRIST (Deemed to be University), Bangalore, 560029, India; Meyer D.F., College of Business and Economics, University of Johannesburg, Auckland Park, 2006, South Africa
Smart Phone based Fundus Imaging for Diabetic Retinopathy Detection
deep learning; diabetic retinopathy; Fundus imaging; smartphone-based fundus imaging
INTRODUCTION: Diabetic retinopathy (DR) is one of the consequences of diabetes which if untreated may lead to loss of vision. Generally, for DR detection, retinal images are obtained using a traditional fundus camera. A recent trend in the acquisition of eye fundus images is the usage of smartphones to acquire images. OBJECTIVES: This paper focuses on the study of existing works which incorporated smartphones for obtaining fundus images and various devices available in the market. Also, the common datasets used for carrying out DR detection using smartphone-based fundus images as well as the classification models used for the diagnosis of DR are explored. METHODS: A search of information was carried out on articles based on DR detection from fundus images published in the state-of-the-art literatures. RESULTS: Majority of the works uses SBFI devices like 20D lens, EyeExaminer etc. to obtain fundus image. The common databases used for the study are EyePACS, Messidor, etc. and the classification models mostly rely on deep learning frameworks. CONCLUSION: The use of smartphones for capturing fundus images for DR detection are explored. Smartphone devices, datasets used for the study and currently available classification models for SBFI based DR detection are discussed in detail. This paper portrays various approaches currently being employed in SBFI based DR detection. 2023 A. Benjamin et al.
EAI Endorsed Transactions on Pervasive Health and Technology, Vol-9
https://doi.org/10.4108/eetpht.9.4376 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178320866&doi=10.4108%2feetpht.9.4376&partnerID=40&md5=7d67b3d8f313f05c0b1a0e8b95ea96c3
Benjamin A., Department of Artificial Intelligence and Machine Learning, CMR Institute of Technology, Karnataka, Bengaluru, 560037, India; Wahid F.F., Department of Information Technology, Kannur University, Kerala, Kannur, 670567, India; Jenefa J., Department of Computer Science and Engineering, Christ (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India
Pluronic f127 encapsulated titanium dioxide nanoparticles: Evaluation of physiochemical properties for biological applications
Biomedical application; Green synthesis; Nanomaterials; Optical properties; Structural analysis
The infections caused by bacteria that are resistant to drugs are very bad for human health and kill thousands of people every year. Also, both human actions and natural processes make surface waters more likely to have drug-resistant bacteria grow and spread in the environment. Because of this, researchers need to find new ways to treat bacterial infections quickly becoming resistant to drugs as soon as possible. Drug delivery systems based on nanoparticles have enhanced biocompatibility, biocidal properties, pharmacokinetics, tumor targeting, and stability while exhibiting non-toxicity to normal cells and overcoming drug resistance. In the present work, the pluronic-F127 encapsulated titanium dioxide (PF127/TiO2) nanoparticles (NPs) were prepared by a green process using Morinda citrifolia leaf extract. X-ray diffraction patterns (XRD) revealed that synthesized NPs exhibit an anatase structure. FESEM and TEM images of synthesized PF127/TiO2 NPs showed a polymorphic structure and an average particle size of 5060 nm. The chemical composition of the prepared NPs, which included elements like carbon, titanium, and oxygen, was identified using the EDAX spectrum. With the DLS spectrum, the hydrodynamic sizes of PF127/TiO2 NPs were 176 nm. In the FTIR spectrum, the metal oxide stretching bands like O-Ti-O were located at 664 cm?1 for PF127/TiO2 NPs. The surface defects, including Ti and O vacancies, were studied using the photoluminescence spectrum. The prepared PF127/TiO2 NPs exhibited significant microbial activity for inhibiting hospital pathogenic bacterial and fungal strains, specifically (Staphylococcus aureus) S. aureus, (Streptococcus pneumoniae) S. pneumonia, (Klebsiella pneumoniae) K. pneumonia, (Shigella dysenteriae) S. dysenteriae and (Candida albicans) C. albicans. In addition, PF127/TiO2 NPs had highly anti-cancer properties against human blood cancer (MOLT-4) cell lines. Furthermore, we found that synthesized PF127/TiO2 NPs exhibited anti-inflammatory activity. 2023
Elamin N.Y.; Indumathi T.; Ranjith Kumar E.
https://doi.org/10.1016/j.molliq.2023.121655 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150429762&doi=10.1016%2fj.molliq.2023.121655&partnerID=40&md5=eca3a4703f59133f7ba87dbb9d596a7a
Elamin N.Y., Department of Chemistry, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11623, Saudi Arabia, Department of Chemistry, Sudan University of Science and Technology, Khartoum, Sudan; Indumathi T., Department of Chemistry, CHRIST (Deemed to be University), 560029 Karnataka, Bangalore, India; Ranjith Kumar E., Department of Physics, KPR Institute of Engineering and Technology, Tamil Nadu, Coimbatore, 641407, India
BUILDING A DATA ETHICAL FUTURE: Data Policies and Frameworks
Artificial Intelligence; Common Good; Data Ethics; Data Privacy; Digital Engagement; Human-Centric Policies and Frameworks; John Rawls; Technology-Driven Choices
Technology-driven choices are shaping the digital engagement of individuals and policymakers. Rapid technological advancements and the increasing utilisation of Big Data and Artificial Intelligence (AI) have presented profound ethical challenges concerning privacy, accountability, and transparency. Existing Data Acts, internet policies, and government frameworks fall short of protecting individuals and states from violations of their digital footprints. This article advocates for a human-centric approach to data ethics, drawing on the concept of the common good, as articulated by John Rawls. Through a systematic review of global data privacy laws, acts, guidelines, and practices, the article examines potential disparities and emphasises the need for universal data legislation, guidelines, and policies. It highlights the significance of data policies and frameworks in fostering ethical data usage, trust, and integrity. By applying Kants philosophy of respecting individuals autonomy, the article emphasises the importance of informed consent and recommends ethical guidelines for both users and content creators. 2023, Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore)
Puthur L.; Karakunnel M.; Miranda D.; Arora T.
Journal of Dharma, Vol-48, No. 2, pp. 231-248.
Puthur L., Christ (Deemed to be) University, India; Karakunnel M., Christ (Deemed to be) University, India; Miranda D., Christ (Deemed to be) University, Bengaluru, India; Arora T., Department of Professional Studies, Christ (Deemed-to-be-University)., India
Enhanced Light Scattering Using a Two-Dimensional Quasicrystal-Decorated 3D-Printed Nature-Inspired Bio-photonic Architecture
A number of strategies have been exploited so far to trap photons inside living cells to obtain high-contrast imaging. Also, launching light inside biological materials is technically challenging. Using photon confinement in a three-dimensional (3D)-printed biomimetic architecture in the presence of a localized surface plasmon resonance (LSPR) promoter can overcome some of these issues. This work compares optical confinement in natural and 3D-printed photonic architectures, namely, fish scale, in the presence of atomically thin Al70Co10Fe5Ni10Cu5 quasicrystals (QCs). Due to their wideband LSPR response, the QCs work as photon scattering hotspots. The architecture acts as an additive source of excitation for the two-dimensional (2D) QCs via total internal reflection (TIR). The computational analysis describes the surface plasmon-based scattering property of 2D QCs. The 3D-printed fish scale's image contrast with the 2D Al70Co10Fe5Ni10Cu5 QC has been compared with other 2D materials (graphene, h-BN, and MoS2) and outperforms them. The present study conceptually presents a new approach for obtaining high-quality imaging of biological imaging, even using high-energy photons. 2023 American Chemical Society.
Kumbhakar P.; Pramanik A.; Mishra S.S.; Tromer R.; Biswas K.; Dasgupta A.; Galvao D.S.; Tiwary C.S.
Journal of Physical Chemistry C, Vol-127, No. 20, pp. 9779-9786.
https://doi.org/10.1021/acs.jpcc.3c00513 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160735552&doi=10.1021%2facs.jpcc.3c00513&partnerID=40&md5=5733e0f1514538bf53a250f1496e0fac
Kumbhakar P., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, Department of Physics and Electronics, CHRIST (Deemed to Be University), Bangalore, 560029, India; Pramanik A., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India; Mishra S.S., Department of Materials Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India; Tromer R., Applied Physics Department, University of Campinas, Campinas, 13083-872, Brazil; Biswas K., Department of Materials Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India; Dasgupta A., Physical Metallurgy Division, Materials Metallurgy Group, Indira Gandhi Center for Atomic Research, HBNI, Kalpakkam, 603102, India; Galvao D.S., Applied Physics Department, University of Campinas, Campinas, 13083-872, Brazil; Tiwary C.S., Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
Analysis of Nifty 50 index stock market trends using hybrid machine learning model in quantum finance
National stock exchange fifty; Principle component analysis; Stock market; Technical indicators; Time series forecast
Predicting equities market trends is one of the most challenging tasks for market participants. This study aims to apply machine learning algorithms to aid in accurate Nifty 50 index trend predictions. The paper compares and contrasts four forecasting methods: artificial neural networks (ANN), support vector machines (SVM), naive bayes (NB), and random forest (RF). In this study, the eight technical indicators are used, and then the deterministic trend layer is used to translate the indications into trend signals. The principal component analysis (PCA) method is then applied to this deterministic trend signal. This study's main influence is using the PCA technique to find the essential components from multiple technical indicators affecting stock prices to reduce data dimensionality and improve model performance. As a result, a PCA-machine learning (ML) hybrid forecasting model was proposed. The experimental findings suggest that the technical factors are signified as trend signals and that the PCA approach combined with ML models outperforms the comparative models in prediction performance. Utilizing the first three principal components (percentage of explained variance=80%), experiments on the Nifty 50 index show that support vector classifier (SVC) with radial basis function (RBF) kernel achieves good accuracy of (0.9968) and F1-score (0.9969), and the RF model achieves an accuracy of (0.9969) and F1-Score (0.9968). In area under the curve (AUC) performance, SVC (RBF and Linear kernels) and RF have AUC scores of 1. 2023 Institute of Advanced Engineering and Science. All rights reserved.
International Journal of Electrical and Computer Engineering, Vol-13, No. 3, pp. 3549-3560.
Institute of Advanced Engineering and Science
https://doi.org/10.11591/ijece.v13i3.pp3549-3560 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149106688&doi=10.11591%2fijece.v13i3.pp3549-3560&partnerID=40&md5=cf8a5be4173b9508721b5ea5f7f6664f
Manjunath C., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Marimuthu B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bengaluru, India; Ghosh B., Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Bengaluru, India
Human behavior analysis on political retweets using machine learning algorithms
Computing methodologies; Machine learning algorithms; Opinion mining; Political retweet; Text classification; Twitter
The exponential rise in the use of social media has resulted in a massive increase in the volume of unstructured text created. This content is presented through messages, conversations, postings, and blogs. Microblogging has become a popular way for people to share what they are thinking. Many people express their thoughts on various issues relating to their hobbies. As a result, microblogging websites have become a valuable resource for opinion mining and sentiment research. Twitter is a well-known microblogging network, with over 500 million new tweets posted daily. The goal of this study was to mine tweets for political sentiments. The extraction of tweets relating to India's well-known political leaders of different states & parties in India and applying the polarity detection analysis of human behavior on the retweeted messages As a result, the sentiment classification algorithm is designed to determine whether tweets are more likely to predict the popularity of certain politicians among the general public. The subjectivity and polarity present in the tweets of political leaders are compared. The engagements of these leaders are then taken into account to determine their popularity. All these comparisons are then portrayed using data visualizations. 2023 The Authors
Patel H.; Kansara A.; Prathap B.R.; Pradeep Kumar K.
https://doi.org/10.1016/j.measen.2023.100768 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159549912&doi=10.1016%2fj.measen.2023.100768&partnerID=40&md5=0516f247ac6bde0122cef2a57c2c0a1f
Patel H., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Kansara A., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Prathap B.R., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Pradeep Kumar K., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India
Enhancing the performance of renewable biogas powered engine employing oxyhydrogen: Optimization with desirability and D-optimal design
Biogas; D-optimal; Desirability; Optimization; Oxyhydrogen; Renewable
The performance and exhaust characteristics of a dual-fuel compression ignition engine were explored, with biogas as the primary fuel, diesel as the pilot-injected fuel, and oxyhydrogen as the fortifying agent. The trials were carried out with the use of an RSM-based D-optimal design. ANOVA was used to create the relationship functions between input and output. Except for nitrogen oxide emissions, oxyhydrogen fortification increased biogas-diesel engine combustion and decreased carbon-based pollutants. For each result, RSM-ANOVA was utilized to generate mathematical formulations (models). The output of the models was predicted and compared to the observed findings. The prediction models showed robust prediction efficiency (R2 greater than 99.21%). The optimal engine operating parameters were discovered by desirability approach-based optimization to be 24 crank angles before the top dead center, 10.88 kg engine loading, and 1.1 lpm oxyhydrogen flow rate. All outcomes were within 3.75% of the model's predicted output when the optimized parameters were tested experimentally. The current research has the potential to be widely used in compression ignition engine-based transportation systems. 2023 Elsevier Ltd
Sharma P.; Balasubramanian D.; Thanh Khai C.; Papla Venugopal I.; Alruqi M.; Josephin JS F.; Sonthalia A.; Geo Varuvel E.; Khalife E.; Ravikumar R.; Wae-Hayee M.
https://doi.org/10.1016/j.fuel.2023.127575 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147872811&doi=10.1016%2fj.fuel.2023.127575&partnerID=40&md5=3f20e1e8a67ee8d342378d9412fe5e0a
Sharma P., Mechanical Engineering Department, Delhi Skill and Entrepreneurship University, Delhi, 110089, India; Balasubramanian D., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Thanh Khai C., Faculty of Technology, Dong Nai Technology University, Dong Nai, Bien Hoa, Viet Nam; Papla Venugopal I., Department of Mechanical Engineering, Mepco Schlenk Engineering College, Tamilnadu, India; Alruqi M., Department of Mechanical Engineering, College of Engineering, Shaqra University, Al Riyadh, 11911, Saudi Arabia; Josephin JS F., Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Sonthalia A., Department of Automobile Engineering, SRM Institute of Science and Technology, NCR Campus, Modi Nagar, 201204, India; Geo Varuvel E., Department of Mechanical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, Turkey; Khalife E., Department of Civil Engineering, Cihan University-Erbil, Kurdistan Region, Iraq; Ravikumar R., Department of Mechanical and Automobile Engineering, CHRIST University, Bengalore, India; Wae-Hayee M., Department of Mechanical and Mechatronics Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla, Hatyai, 90110, Thailand