Solution of a dengue fever model via fractional natural decomposition and modified predictor-corrector methods
Dengue fever; fractional natural decomposition method; Liouville-Caputo derivative; mathematical model; modified Predictor-Corrector algorithm; new generalized Caputo derivative
In this paper, we solved a model of a well-known infectious disease called dengue fever via fractional natural decomposition and modified Predictor-Corrector (PC) methods. A study of the dengue epidemic in the Cape Verde Islands off the coast of West Africa in 2009 has been resumed here for a better understanding of the results. The results are obtained using Liouville-Caputo and new generalized Caputo-type fractional derivatives. The numerical simulations are presented for various orders of given derivatives. Existence and uniqueness analysis of the given problem are also performed in the new generalized Caputo sense. The explored results are verified using figures. The main target of this paper is to explore the different dynamics of the given dengue fever model via two types of fractional numerical algorithms. 2024 World Scientific Publishing Company.
Kumar P.; Gao W.; Veeresha P.; Erturk V.S.; Prakasha D.G.; Baskonus H.M.
International Journal of Modeling, Simulation, and Scientific Computing, Vol-15, No. 1
Kumar P., Institute for the Future of Knowledge, University of Johannesburg, P. O. Box 524, Auckland Park, 2006, South Africa; Gao W., School of Information Science and Technology, Yunnan Normal University, Yunnan, China; Veeresha P., Department of Mathematics, Christ (Deemed to Be University), Bengaluru, 560029, India; Erturk V.S., Department of Mathematics, Ondokuz Mayis University, Atakum, Samsun, 55200, Turkey; Prakasha D.G., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India; Baskonus H.M., Department of Mathematics and Science Education, Harran University, Sanliurfa, Turkey
Income Inequality in Globalization Context: Evidence from Global Data
C33; Economic globalization; F4; F6; Financial openness; Income inequality; O15; Panel estimation; Trade openness
This paper empirically investigates the relative effectiveness of economic globalization, trade openness, and financial openness on income inequality in low-, middle-, and high-income countries for the panel data over the period from 1991 to 2020 by endogenizing economic growth, urbanization, agriculture, industry, and service sectors value-added as % of GDP as control variables in income inequality function. The results emanating from the panel pooled mean group-autoregressive distributed lag (PMG-ARDL) test provide evidence of a significant long-run relationship among the variables. Interestingly, economic globalization reduces income inequality for high- and middle-income countries and increases it in low-income countries. On the other hand, trade openness reduces income inequality in high- and middle-income countries but increases it for low-income countries. In contrast, financial openness lessens income inequality in low-income countries but increases it for middle- and high-income countries. We find that urbanization increases income inequality in low-, middle- and high-income countries. We also find that economic growth decreases (increases) income inequality in high (middle and low)-income countries. Moreover, it is found that industrial and service sectors output decrease (increases) income inequality in high (middle and low)-income countries, whereas agricultural output improves (deteriorates) income distribution in middle- and low- (high) income countries. In light of these findings, we suggest that the governments of low-income countries need to focus more on improving the level of globalization and trade openness to improve their economic conditions in long run. Both high- and middle-income countries should also improve their financial openness so that effective utilization of overseas finance will flourish their overall economy. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
Villanthenkodath M.A.; Pal S.; Mahalik M.K.
Journal of the Knowledge Economy, Vol-15, No. 1, pp. 3872-3902.
Villanthenkodath M.A., B. S. Abdur Rahman University, GST Road, Vandalur, Tamil Nadu, Chennai, 600 048, India; Pal S., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India, School of Business and Management, Christ University (Deemed to be University), Karnataka, Bengaluru, 560029, India; Mahalik M.K., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, West Bengal, Kharagpur, 721302, India
Mathematical analysis of histogram equalization techniques for medical image enhancement: a tutorial from the perspective of data loss
Contrast enhancement of medical images; Contrast Limited Adaptive Histogram Equalization (CLAHE); Correlation co-efficient; Histogram Equalization (HE) techniques; Image analysis
This tutorial demonstrates a novel mathematical analysis of histogram equalization techniques and its application in medical image enhancement. In this paper, conventional Global Histogram Equalization (GHE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Histogram Specification (HS) and Brightness Preserving Dynamic Histogram Equalization (BPDHE) are re-investigated by a novel mathematical analysis. All these HE methods are widely employed by researchers in image processing and medical image diagnosis domain, however, this has been observed that these HE methods have significant limitation of data loss. In this paper, a mathematical proof is given that any kind of Histogram Equalization method is inevitable of data loss, because any HE method is a non-linear method. All these Histogram Equalization methods are implemented on two different datasets, they are, brain tumor MRI image dataset and colorectal cancer H and E-stained histopathology image dataset. Pearson Correlation Coefficient (PCC) and Structural Similarity Index Matrix (SSIM) both are found in the range of 0.6-0.95 for overall all HE methods. Moreover, those results are compared with Reinhard method which is a linear contrast enhancement method. The experimental results suggest that Reinhard method outperformed any HE methods for medical image enhancement. Furthermore, a popular CNN model VGG-16 is implemented, on the MRI dataset in order to prove that there is a direct correlation between less accuracy and data loss. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Multimedia Tools and Applications, Vol-83, No. 5, pp. 14363-14392.
Roy S., School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Bhalla K., Washington University School of Medicine in St. Louis, St. Louis, 63110, MO, United States; Patel R., Department of Electronics and Communication Engineering, ABES Institute of Technology, Ghaziabad, India
Influence of Synthesis Temperature on the Structural, Morphological and Optical Properties of MoO3 Nanorods
Luminescence; Phosphor; Refractive index; Wide bandgap
Molybdenum trioxide nanomaterials have attained notable attention in the recent past and are used in various optoelectronic and biomedical applications. Here blue and purple blue light emitting MoO3 nanophosphors were synthesized using the simple hydrothermal method at three different temperatures 100C, 150C, and 200C. Structural characterization using XRD along with Raman spectroscopy confirms the formation of a highly stable orthorhombic phase. Micro strain effects have been analyzed by employing the Williamson-Hall method using a uniform deformation model. Nanorod like morphology was obtained from FESEM. Optical analysis, using Tauc plot shows a decreasing trend in bandgap value with increasing temperature. Emission peaks in the photoluminescence spectrum are associated with the transition between the sub-bands of the Mo5+ defect state. From CIE coordinates it is confirmed that the characteristic light from the samples is blue and purple-blue. Being an excellent blue and purple blue light emitting phosphor, MoO3 is a suitable material for future LED and fluorescence imaging applications. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
Journal of Fluorescence, Vol-34, No. 2, pp. 515-522.
ISSN: 10530509; PubMed ID: 37289408; CODEN: JOFLE
Avani A.V., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Chrisma R.B., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Anila E.I., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India
Catalyzing the Affordability of Perovskite Solar Cells with Aluminum-Modified Cubic Titania
electron transport material; electron traps; nanocube; nanosphere; oxygen vacancy; Perovskite solar cell; TiO2
As a key component of perovskite solar cells (PSCs), the electron transport layer (ETL) extracts charges efficiently. While TiO2 is widely recognized as a superior electron transport material (ETM) for its numerous advantages, the morphological limitations of spherical TiO2 nanoparticles (NPs) lead to significant electron losses. Therefore, as an alternative to nanospheres, TiO2 nanocubes are synthesized through a solvothermal route and employed as ETM in the low-cost carbon electrode-based perovskite solar cells (CPSCs). The structural, morphological, and optical properties of the TiO2 nanocubes (NCs) are studied and compared with TiO2 nanospheres (NSs) in detail. The device possessing cubic TiO2 achieved a power conversion efficiency (PCE) of 10.6% with a current density (Jsc) of 21.79 mA/cm2. Recognizing that the oxygen vacancies in cubic TiO2 are lower than in spherical TiO2, it is inferred that further reduction of oxygen vacancies in cubic TiO2 could enhance the current collection. Hence, to get rid of the oxygen vacancy (which acts as an electron trap) in the cubical TiO2, aluminum (Al3+) is incorporated into its matrix. A comprehensive analysis of its impact on structural and optical behavior follows. In addition to its cost-effectiveness and conductive nature, it has been observed that the stable form of Al3+ replaces the unstable Ti3+ (which acts as a trap state), thereby reducing the recombination rate. With the highest current collection of 22.85 mA/cm2, a PCE of 11.3% has been recorded for the solar cell that possessed 1% Al-doped TNC. Furthermore, the ambient stability of the respective device shows ?85% of its initial PCE. The effect of the TiO2 nanostructure and Al3+ doping in TiO2 nanocubes is discussed elaborately in this work. 2024 American Chemical Society
Kunka Ravindran A.; Narendhiran S.; Nambiraj B.; Muthusamy Anandan G.L.; Muthu S.P.; Perumalsamy R.
ACS Applied Optical Materials, Vol-2, No. 1, pp. 230-243.
https://doi.org/10.1021/acsaom.3c00410 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186075826&doi=10.1021%2facsaom.3c00410&partnerID=40&md5=b6344f8f7f1d187d19b6a76c8bda8e34
Kunka Ravindran A., Research Centre, Department of Physics, Sri Sivasubramaniya Nadar College of Engineering, Tamil Nadu, Chennai, 603110, India; Narendhiran S., Department of Physics and Electronics, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Nambiraj B., Research Centre, Department of Physics, Sri Sivasubramaniya Nadar College of Engineering, Tamil Nadu, Chennai, 603110, India; Muthusamy Anandan G.L., Department of Chemistry, Sri Sivasubramaniya Nadar College of Engineering, Tamil Nadu, Chennai, 603110, India; Muthu S.P., Research Centre, Department of Physics, Sri Sivasubramaniya Nadar College of Engineering, Tamil Nadu, Chennai, 603110, India; Perumalsamy R., Research Centre, Department of Physics, Sri Sivasubramaniya Nadar College of Engineering, Tamil Nadu, Chennai, 603110, India
An efficient adaptive reconfigurable routing protocol for optimized data packet distribution in network on chips
Dynamic XY routing algorithm; Network on chip; Random traffic profile; System on chip; Transpose traffic profile
The deadlock-free and live lock-free routing at the same time is minimized in the network on chip (NoC) using the proposed adoptive reconfigurable routing protocol (ARRP). Congestion condition emergencies are avoided using the proposed algorithm. The input packet distribution process is improved among all its shortest paths of output points. The performance analysis has been initiated by considering different configuration (N*N) mesh networks, by sending various ranges of data packets to the network on chip. The average and maximum power dissipation of XY, odd-even, Dy-XY algorithm, and proposed algorithm are determined. In this paper, an analysis of gate utilization during data packet transfer in various mesh configurations is carried out. The number of cycles required for each message injection in different mesh configurations is analyzed. The proposed routing algorithm is implemented and compared with conventional algorithms. The simulation has been carried out using reconfigurable two-dimensional mesh for the NoC. The proposed algorithm has been implemented considering array size, the routing operating frequency, link width length, value of probability, and traffic types. The proposed ARRP algorithm reduces the average latency, avoids routing congestion, and is more feasible for NoC compared to conventional methods. 2024 Institute of Advanced Engineering and Science. All rights reserved.
Sukumar P.G.; Krishnaiah M.; Velluri R.; Satish P.; Nagaraju S.; Puttaswamy N.G.; Srikantaswamy M.
International Journal of Electrical and Computer Engineering, Vol-14, No. 1, pp. 305-314.
Institute of Advanced Engineering and Science
https://doi.org/10.11591/ijece.v14i1.pp305-314 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183651138&doi=10.11591%2fijece.v14i1.pp305-314&partnerID=40&md5=6a2df4965e88480bb8e309e96cce4627
Sukumar P.G., Department of Computer Science and Engineering, JSS Academy of Technical Education, Bangalore, India; Krishnaiah M., Department of Electronics and Communications, Vidya Jyothi Institute of Technology, Hyderabad, India; Velluri R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Satish P., Department of Electronics and Communications, K.S. Institute of Technology, Bangalore, India; Nagaraju S., Department of Electrical and Electronics Engineering, Sri Jayachamarajendra College of Engineering, Mysore, India; Puttaswamy N.G., East Point College of Engineering and Technology, Bangalore, India; Srikantaswamy M., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Bangalore, India
Fossil fuel derived GQD as a photosensitizer in dye-sensitized solar cells
Fossil fuel; Nanoparticles; Sensitizer; Solar Energy Materials
Solar energy is an abundantly available renewable source, and several generations of photovoltaic cells have been developed for harnessing it. Dye-sensitized solar cells (DSSC) are viable and potent solar energy harvesters. Sensitizer, a vital part of DSSC, has been researched for years. Alternatively, fossil fuel-Lignite is one of the world's least explored energy sources. Unfortunately, it has been used as a fuel for power generation and tagged as a pollutant. Therefore, in this study, we use lignite-derived graphene quantum dots (GQD) as a DSSC sensitizer and attempt to add value. GQDs with varied bandgaps were obtained and used as sensitizers, and a maximum PCE of 2.87 % was obtained. Additionally, GQD sensitizers were exposed to UV light for 48 h, and the fabricated device exhibited 2.90 % efficiency, showing the photostability of GQDs. Furthermore, the device showed a higher Rrec of 166.57 ?, substantiating the better performance of DSSC. Thus, sensitizers derived from lignite showed a novel use for feedstock previously used for combustion. 2023 Elsevier B.V.
Rao A.A.; Narendhiran S.; Balachandran M.
https://doi.org/10.1016/j.matlet.2023.135692 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179627418&doi=10.1016%2fj.matlet.2023.135692&partnerID=40&md5=78ee291cee77691369071ab577b157ee
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; Balachandran M., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India
Rationality of the Terrorist Group and Governments Policy: A Game Theoretic Approach
counter-terrorism; game theory; intelligence; rationality; terrorist group
The two ideas of the rationality of terrorist organisations and the costly leader game are used in this paper to construct a game theoretic model. It is an addition to the literature on terrorism and leader-follower games, in which the government and a terrorist organisation are the two players. Terrorist group can be rational or irrational. In case it is rational, it does the cost-benefit analysis and is open to negotiation. Only in this case, the government chooses to not spend on counter-terrorist measures. The irrational group has lexicographic preferences, which means that it prefers a successful attack to attract attention and recruits at the beginning or finish of its operation. Consequently, it is assumed that the irrational group will always attack. the irrational terrorist organisation has the option of either choosing not to mimic the rational group or choosing to do so at a psychological cost. Although the irrational group dislikes imitation. It seeks to duplicate the rational group so that the government withdraws and cuts back on spending on counter-terrorism. A costly leader model is set up in the paper, where the government can incur a cost to gather information about the type of terrorist group. In this framework, the paper provides policy prescriptions concerning counter-terrorist measures that the government should take in case the type of terrorist group being rational or irrational is unknown and it highlights the importance of intelligence. 2024 Walter de Gruyter GmbH. All rights reserved.
Peace Economics, Peace Science and Public Policy, Vol-30, No. 1, pp. 27-53.
https://doi.org/10.1515/peps-2023-0030 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183839555&doi=10.1515%2fpeps-2023-0030&partnerID=40&md5=25594357a5a67240a80c7c86a8ed30eb
Harichandan A., Centre for International Trade and Development, School of International Studies, Jawaharlal Nehru University, New Delhi, 110067, India, Christ (Deemed to be University), Delhi NCR Campus, Ghaziabad, 201003, India
Sexual health and safety of adolescents with intellectual disability: Challenges and concerns among special educators in India
Adolescents with intellectual disabilities; India; qualitative analysis; sex education; special educators
Sexual health education among adolescents with intellectual disabilities is an area of concern among parents and educators. Special educators play a vital role in teaching sexual health and safety to their students with disabilities. The present study explores special educators' concerns in teaching sexual health among adolescents with intellectual disabilities. The participants included 35 special educators working with adolescents with intellectual disabilities in India. Summative content analysis of the data collected using a semi-structured interview schedule highlights the neglect of the issues related to sexual health among adolescents with disabilities. Special educators reported the challenges in providing sexual health education. Teachers lacked skills in imparting sexual health education. Developmentally and culturally appropriate sexual health education can help adolescents with a disability learn healthy life skills. The paper emphasizes the need for professional support and training among special educators on sexual health education. The Author(s) 2022.
Jeyachandran V.; Ranjelin S.P.D.; Kumar A.
Journal of Intellectual Disabilities, Vol-28, No. 1, pp. 104-117.
Jeyachandran V., Department of Psychology, Christ University, India; Ranjelin S.P.D., Sheffield Mind, United Kingdom; Kumar A., Department of Psychology, Christ University, India
Twitter sentiment analysis on online food services based on elephant herd optimization with hybrid deep learning technique
Deep learning; Elephant herd optimization; Online food service; Pseudoinverse learning autoencoder; Swiggy; Twitter sentiment analysis; Zomato
Twitter is a social media stage, making it a valuable resource for learning about peoples opinions, feelings, and thoughts. For this reason, experts came up with methods to analyse the tone of tweets and determine whether they were favourable or negative. This article aims to assist businesses, and especially app-based meal delivery businesses, in conducting competitive research on social broadcasting and transforming social broadcasting data into data production for decision-makers. In this analysis, we compared Swiggy, Zomato, and UberEats. Customers tweets about all these brands are obtained using R-Studio, and a deep learning-based sentiment examination approach is functional on the retrieved tweets. The pseudo-inverse learning autoencoder is able to provide feature extraction in the form of an analytic solution after pre-processing, without resorting to many iterations. In this research, we suggest framework for combining the Convolutional Neural Network (CNN) and Bi-directional Long Short Term Memory (Bi-LSTM) models. ConvBiLSTM is used, which is a word embedding model that uses numerical values to represent tweets. The CNN layer takes the feature implanting as input and outputs lower features. In this instance, elephant herd optimization is used to fine-tune the Bi-LSTM weights. Among the three firms, the results indicate that Zomato got the most positive feedback (29%), followed by Swiggy (26%), and UberEats (25%). Zomato also had fewer bad reviews than Swiggy and UberEats, with only 11% of users having a poor experience. In addition, tweets were evaluated for unfavourable views against all three meal delivery services, and suggestions for improvement were offered. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
Vatambeti R.; Mantena S.V.; Kiran K.V.D.; Manohar M.; Manjunath C.
Cluster Computing, Vol-27, No. 1, pp. 655-671.
Vatambeti R., School of Computer Science and Engineering, VIT-AP University, Vijayawada, India; Mantena S.V., Department of Computer Science and Engineering, SRKR Engineering College, Bhimavaram, 534204, India; Kiran K.V.D., Department of CSE, Koneru Lakshmaiah Education Foundation, AP, Vaddeswaram, India; Manohar M., Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Manjunath C., Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India
Perfectionism and self-compassion among emerging adults: The role of disciplining experiences
Disciplining experiences; Parental warmth; Perfectionism; Self-compassion
Although the influence of disciplining experiences on a variety of personality factors has been studied, there is less clarity on how disciplining experiences influence the traits of perfectionism and self-compassion in individuals. The purpose of this study was to examine the relationships between different domains of perfectionism and self-compassion, as well as the influence of specific aspects of disciplining experiences, such as parental warmth and punishment experiences, on perfectionism and self-compassion. In this study, a quantitative cross-sectional correlational design was used. A total of 220 Indian emerging adults from the city of Bangalore were surveyed via convenience sampling. The following scales were administered: Disciplining Experiences Measure, Multidimensional Perfectionism Scale, and Self-Compassion Scale. The results showed that (1) Self Compassion has a significant positive relationship with Perfectionism; (2) Punishment experience has an influence on Other-oriented and Socially Prescribed Perfectionism; (3) Disciplining Helped positively predicted Self-oriented Perfectionism; and (4) Parental Warmth positively predicted Self-compassion in individuals. The findings contribute to the literature emphasizing the influence of disciplining experiences on ones self and personality, as well as the potential benefits of self-compassion-based interventions. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
Current Psychology, Vol-43, No. 5, pp. 4191-4197.
Raju P., CHRIST (Deemed to be University), Bengaluru, India; Sudhesh N.T., CHRIST (Deemed to be University), Bengaluru, India
Chatbot Service Quality in Banking : Analyzing Indian Banking Customer Perceptions and Influence on Customer Satisfaction and Value
banks; chatbot services; customer satisfaction; customer value; service quality
Purpose: The study has two objectives: first, to determine the quality of chatbot services provided by Indian banks; second, to assess the influence of chatbot service quality variables on customer satisfaction and customer value. Research Methodology: The study used a quantitative methodology, selecting individuals at random from a group of Indian banking clients. We used a questionnaire to collect data from the selected sample as part of a causal research investigation. We made use of SPSS and Python for this analysis. Customer satisfaction and value were taken into account as the dependent variables in our study. The seven elements of service qualityfunctionality, convenience, security, design, customization, enjoyment, and assurancemade up the independent variables. Findings: According to this study, client satisfaction and value were significantly shaped by the quality of the services provided. Customers value was significantly impacted by functionality and enjoyment, and their satisfaction was greatly influenced by assurance, design, and personalization. The unexpected negative impact assurance had on customer value is noteworthy and calls for more research. Practical Implications: In the highly competitive banking industry, this research has important ramifications for banks. It highlighted how important service quality is, which led banks to give priority to customer pleasure and think about making strategic changes. Banks could obtain a competitive advantage by improving the quality of their services, improving chatbot services, and implementing a customer-centric strategy by utilizing the research findings that have been presented. Our research helped banks evolve with the needs of their customers in mind, enabling them to gain credibility, repeat business, and long-term success in the ever-changing banking services market. Originality/Value: This study examined how consumers in Indian banks perceive the value and satisfaction of chatbot services and how they use them. The study provided useful recommendations and concepts to improve the general consumer experience. 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved.
Indian Journal of Marketing, Vol-54, No. 2, pp. 44-65.
Associated Management Consultants Pvt. Ltd.
https://doi.org/10.17010/ijom/2024/v54/i2/173474 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188943958&doi=10.17010%2fijom%2f2024%2fv54%2fi2%2f173474&partnerID=40&md5=76ddbaccb0e1b80c959150aaac436ab8
Kapadan P., CHRIST (Deemed to be University), Campus Road, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560 025, India; Khanna S., CHRIST (Deemed to be University), Bennerghatta Main Road, Pai Layout, Hulimavu, Karnataka, Bengaluru, 560 076, India
Sustainable Management of Exotic Fish Biodiversity in Karnataka: Status, Challenges, and Threats
Aquatic ecosystem; Biological invasion; Conservation; Fish biodiversity; Invasive alien species; Karnataka; Threats
Fish biodiversity, a significant part of the aquatic ecosystem, has been studied widely in India. However, the distribution and diversity of fish species have not been well-researched at the state and/or regional levels. Karnataka is bestowed with 8% of the countrys water resources, which are under extreme pressure because of unregulated population growth, biological invasion, and developmental requirements. Since the middle of the nineteenth century, India has been introducing alien species to its water bodies. Currently, 13.6% of the fish diversity in India is exotic and has been established voluntarily or involuntarily for various purposes. The establishment of invasive alien fishes negatively influences native fish communities around the globe. In general, most publications present the latest status of ichthyofauna in several regions of Karnataka; however, there is no up-to-date documentation on strategic environmental developments and unforeseen challenges, such as invasive alien species (IAS). This study reconstructs existing knowledge while analytically reviewing challenges, potential management techniques, advancements, and the impacts of climate change and disseminates the data necessary for the comprehension of the biological invasion of IAS. 2024, Indian Society for Ecological Economics (INSEE). All rights reserved.
Ecology, Economy and Society, Vol-7, No. 1, pp. 13-27.
Indian Society for Ecological Economics (INSEE)
https://doi.org/10.37773/ees.v7i1.902 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188325252&doi=10.37773%2fees.v7i1.902&partnerID=40&md5=e0512d14cc3c8895328734907553c10b
Chakma A., Department of Life Sciences, Christ (Deemed to be University), Bangalore, 560029, India; Pappuswamy M., Department of Life Sciences, Christ (Deemed to be University), Bangalore, 560029, India; Chaudhary A., Department of Life Sciences, Christ (Deemed to be University), Bangalore, 560029, India
The influence of social media on investment decision-making: examining behavioral biases, risk perception, and mediation effects
Behavioral biases; Confidence; Herding behavior; Investment behavior; Mediation analysis; Overconfidence bias; Risk perception; Social media
The increasing use of social media platforms for investment-related information and advice has raised concerns about the impact of social media on investment choices. In this paper, we investigated the role of behavioral biases and risk perception in investment decisions. Specifically, this paper aims to explore the impact of social media on these factors and their influence on investment decisions. To achieve this aim, we investigated the existing works on the impact of social media on investment decisions, including its influence on behavioral biases and risk perception. We also collected data through an online survey from individual investors who use social media for investment-related information and advice. The survey measured their investment decisions, behavioral biases, risk perception, and the impact of social media on these factors. The valuable insights offered by this paper shed light on how social media affects the decisions made regarding investments and extend our understanding of the role of behavioral biases and risk perception in this context. Our results indicate that social media has a significant impact on the investment-related behaviors and perceptions of individual investors. Specifically, social media can exacerbate the effects of behavioral biases, such as herding and overconfidence bias, and influence risk perception. Moreover, the paper highlights the significance of managing social media use to make rational investment decisions. The paper's results can help individual investors make more informed investment decisions by understanding the impact of social media on their investment-related behaviors and perceptions. Moreover, the paper provides useful information to policymakers and financial regulators to develop guidelines for the responsible use of social media in the investment industry. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023.
International Journal of System Assurance Engineering and Management, Vol-15, No. 3, pp. 957-963.
https://doi.org/10.1007/s13198-023-02182-x https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174243824&doi=10.1007%2fs13198-023-02182-x&partnerID=40&md5=60d0acfd2877a0b104df96b3cc1b3ab6
Sathya N., Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Tamil Nadu, Vellore, India; Prabhavathi C., Department of Professional Studies, School of Commerce, Finance and Accountancy, Christ (Deemed to be University), Bangalore, India
Synthesis and characterization of 4-nitro benzaldehyde with ZnO-based nanoparticles for biomedical applications
4-nitrobenzaldehyde; antibacterial activity; anticancer; apoptosis; ZnO
Globally, cancer is the leading cause of death and morbidity, and skin cancer is the most common cancer diagnosis. Skin problems can be treated with nanoparticles (NPs), particularly with zinc oxide (ZnO) NPs, which have antioxidant, antibacterial, anti-inflammatory, and anticancer properties. An antibacterial activity of zinc oxide nanoparticles prepared in the presence of 4-nitrobenzaldehyde (4NB) was also tested in the present study. In addition, the influence of synthesized NPs on cell apoptosis, cell viability, mitochondrial membrane potential (MMP), endogenous reactive oxygen species (ROS) production, apoptosis, and cell adhesion was also examined. The synthesized 4-nitro benzaldehyde with ZnO (4NBZnO) NPs were confirmed via characterization techniques. 4NBZnO NPs showed superior antibacterial properties against the pathogens tested in antibacterial investigations. As a result of dose-based treatment with 4NBZnO NPs, cell viability, and MMP activity of melanoma cells (SK-MEL-3) cells were suppressed. A dose-dependent accumulation of ROS was observed in cells exposed to 4NBZnO NPs. As a result of exposure to 4NBZnO NPs in a dose-dependent manner, viable cells declined and apoptotic cells increased. This indicates that apoptotic cell death was higher. The cell adhesion test revealed that 4NBZnO NPs reduced cell adhesion and may promote apoptosis of cancer cells because of enhanced ROS levels. 2023 Wiley-VCH GmbH.
Indumathi T.; Kumaresan I.; Suriyaprakash J.; Alarfaj A.A.; Hirad A.H.; Jaganathan R.; Mathanmohun M.
Journal of Basic Microbiology, Vol-64, No. 2
ISSN: 0233111X; PubMed ID: 37988661; CODEN: JBMIE
https://doi.org/10.1002/jobm.202300494 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181191065&doi=10.1002%2fjobm.202300494&partnerID=40&md5=df1241b7bfe3550cfce4ed2c4a134eb7
Indumathi T., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Kumaresan I., Acharya Institute of Allied Health Sciences, Karnataka, Bangalore, India; Suriyaprakash J., Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, School of Information and Optoelectronic Science and Engineering, South China Normal University, Guangzhou, China; Alarfaj A.A., Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia; Hirad A.H., Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia; Jaganathan R., Microbiology Unit, Preclinical Department, Faculty of Medicine, Universiti Kuala Lumpur, Royal College of Medicine Perak (UniKL-RCMP), Ipoh, Malaysia; Mathanmohun M., Department of Microbiology, Muthayammal College of Arts and Science, Rasipuram, Tamilnadu, Namakkal, India
Performance of DSSC with green synthesized and thermodynamically sintered Bi-phase TiO2 with various sensitizers
DSSC; Green synthesis; Nanostructure; Natural dye; NDSSC; Photo anode
The production of green and clean energy in the current era is heavily reliant on light harvesting through the use of solar cells. A successful fabrication of any of the components of Dye-sensitized solar cells (DSSC) through an easy, environmental, and economic-friendly method would be an added advantage in promoting the production of green and clean energy. With this in mind, this paper highlights the green synthesis of materials for the preparation of photo-anodes as well as sensitizers. Apart from the routine synthesis method, this paper presents a new perspective that enhances inter-particle connections by providing an optimum calcination temperature (thermodynamic sintering) during the preparation procedure. The best calcination temperature for the preparation of photo-anode material is initially optimized by comparing the device output performance between synthetic and natural dyes. Further improvement in device performance is achieved through TiCl4 (Titanium tetrachloride) post-annealing treatment on the optimized photo-anodes. The improvement in performance of these optimized photo-anodes is checked and confirmed with different natural, synthetic, and cocktail sensitizers. The best natural dye-sensitized solar cell (NDSSC) device showed an efficiency of 4.65 % and the dye-sensitized solar cell (DSSC) device showed an efficiency of 5.78 %. This confirms the suitability of these green-synthesized TiO2 nanopowders as a promising material for photo-anode preparation that could work well for both NDSSC and DSSC. 2024 Elsevier B.V.
Ninan G.G.; Varghese M.; Balachandran M.
https://doi.org/10.1016/j.optmat.2024.115004 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184521096&doi=10.1016%2fj.optmat.2024.115004&partnerID=40&md5=5b3de37537e30af99ea527ce1c15fbe8
Ninan G.G., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Varghese M., 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
A Mixed-Methods Study of Training in Evidence-Based Practice in Psychology Among Students, Faculty, and Practitioners in India and the United States
cultural humility; evidence-based practice; India; training; United States
The current mixed-method study in India and the United States assessed understanding of what evidencebased practice in psychology (EBPP) is, how EBPP training and implementation occurs, and perceived barriers and needs related to EBPP training. Graduate students (India, n = 282; United States, n = 214), faculty (India, n = 24; United States, n = 67), and practitioners (India, n = 24; United States, n = 49) were surveyed, and focus groups with students (India, n = 31; United States, n = 12), faculty (India, n = 10, United States, n = 9), and practitioners (India, n = 28; United States, n = 17) were held. Individuals across countries and across the professional continuum were only somewhat aware of EBPP, largely equating it to just using empirically supported treatments. In both the United States and India, EBPP training was largely infused across the curriculum, though a sizable percentage of participants did report only limited exposure to EBPP training. Participants perceived themselves as engaging in EBPP. The biggest barriers to EBPP training (largely shared across countries) were hesitancy about EBPP, investing the time in training, and being wedded to a single school of thought. Indian participants also noted a limitation in primarily relying on data from Western countries. EBPP training needs identified included desire for greater flexibility within EBPP, receiving more theoretical foundation in EBPP, and more applied EBPP training. Results demonstrated advances in EBPP training in the past 15 years since the release of American Psychological Associations task force report but also provide areas for growth in training, specifically surrounding balancing research evidence with clients cultural context as well as ways to promote lifelong EBPP learning. 2024 American Psychological Association
Luebbe A.M.; Gopal B.; Aggarwal P.; Hay M.C.; Moosath H.; Kumar A.; Painadath V.; Reddy K.J.; Rangaswamy M.; Raval V.V.
Professional Psychology: Research and Practice, Vol-55, No. 4, pp. 363-374.
https://doi.org/10.1037/pro0000561 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189137193&doi=10.1037%2fpro0000561&partnerID=40&md5=32dd70b208bd97f33753b97b081d6039
Luebbe A.M., Department of Psychology, Miami University, United States; Gopal B., Department of Psychology, CHRIST (Deemed to be) University, India; Aggarwal P., Department of Psychology, Miami University, United States; Hay M.C., Department of Anthropology, Miami University, United States; Moosath H., Department of Psychology, CHRIST (Deemed to be) University, India; Kumar A., Department of Psychology, CHRIST (Deemed to be) University, India; Painadath V., Department of Psychology, CHRIST (Deemed to be) University, India; Reddy K.J., Department of Psychology, CHRIST (Deemed to be) University, India; Rangaswamy M., Department of Psychology, CHRIST (Deemed to be) University, India; Raval V.V., Department of Psychology, Miami University, United States
Nexus of Monetary Policy and Productivity in an Emerging Economy: Supply-Side Transmission Evidence from India
ARDL; Cointegration; E52; E60; G10; G20; Long-run relationship; Monetary policy; Total factor productivity
Monetary policy and its transmissions have been debated by various schools of thought. The purpose of this paper is to empirically tests whether monetary policy has supply side effect influencing Indian economys total factor productivity. This study uses ARDL model to ascertain the long run relationship between monetary policy proxies and total factor productivity (TFP). Cointegration tests reveal that total factor productivity has a relationship with all of the monetary policy proxies. The ARDL results reveal a negative relationship between TFP and some monetary policy proxies in the short run, but a positive effect in the long run. These results showcase the possible supply side transmission of monetary policy in India, which can help in determining an optimal policy so as to augment TFP, an important driver of economic growth. The study only focusses on the Indian economy and spillover effects of other Asian economies on Indias TFP can also be examined. The Author(s), under exclusive licence to The Indian Econometric Society 2024.
Journal of Quantitative Economics, Vol-22, No. 1, pp. 45-61.
Manogna R.L., Department of Economics and Finance, BITS Pilani K K Birla Goa Campus, Sancoale, India; Desai D., Department of Economics, Christ University, Bangalore, India
Artificial Butterfly Optimizer Based Two-Layer Convolutional Neural Network with Polarized Attention Mechanism for Human Activity Recognition
artificial butterfly optimization; convolutional neural networks; human activity recognition; one-shot learning; polarized full attention mechanism
Human activity recognition (HAR) is a focal point of study in the realms of human perception and computer vision due to its widespread applicability in various contexts, such as intelligent video surveillance, ambient assisted living, HCI, HRI, IR, entertainment, and intelligent driving. With the prevalence of deep learning techniques for image classification, researchers have shifted away from the labor-intensive practice of hand-crafting in favor of these methods in HAR. However, Convolutional Neural Networks (CNNs) face challenges such as the receptive field problem and limited sample issues that remain unsolved. This paper introduces a two-branch convolutional neural network for HAR classification, incorporating a polarized full attention method to address the aforementioned issues. The Artificial Butterfly Optimization (ABO) is employed for optimal hyper-parameter tuning. The proposed network utilizes twobranch CNNs to efficiently extract data, simplifying convolutional layers' kernel sizes to enhance network training and suitability for low-data settings. Feature extraction effectiveness is improved by implementing the one-shot assembly method. To amalgamate feature maps and provide global context, an enhanced full attention block called polarized full attention is utilized. Experimental results demonstrate the superiority of the proposed model in detecting human behaviors on the LoDVP Abnormal Behaviors dataset and the UCF50 dataset. Furthermore, the suggested model is adaptable to incorporate new sensor data, making it particularly valuable for real-time human activity identification applications. The Recall is 100 for the 1st dataset, 94 for the 2nd dataset, and 100 for the 3rd dataset, respectively. The F1-Score is 96.61836 for the 1st dataset, 96.90722 for the 2nd dataset, and 98.03922 for the 3rd dataset, respectively. 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/). All Rights Reserved.
Bommagani N.J.; Venkataramana A.; Vemulapalli R.; Singasani T.R.; Pani A.K.; Challageri M.B.; Kayam S.
Mathematical Modelling of Engineering Problems, Vol-11, No. 3, pp. 631-640.
International Information and Engineering Technology Association
All Open Access; Hybrid Gold Open Access
https://doi.org/10.18280/mmep.110306 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189687280&doi=10.18280%2fmmep.110306&partnerID=40&md5=473197928ef96fa187c5f969e44060ec
Bommagani N.J., School of Computer Science and Engineering, VIT-AP University, Vijayawada, 522237, India; Venkataramana A., Department of Computer Applications, New Horizon College of Engineering, Ring Road, Bellandur Post, Bengaluru, 560103, India; Vemulapalli R., Department of Information Technology, Prasad V Potluri Siddhartha Institute of Technology, Vijayawada, 520007, India; Singasani T.R., School of Computer and Information Sciences, University of Cumberlands, Louisville, 40769, KY, United States; Pani A.K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Challageri M.B., Department of Mechanical Engineering, New Horizon College of Engineering, Ring Road, Bellandur Post, Bengaluru, 560103, India; Kayam S., Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, 522502, India
Integrating rod-shaped nickel molybdate@polypyrrole matrix for sustainable adsorptive removal of organic dye: Kinetics, isotherm, and thermodynamics study
adsorption isotherm; adsorption kinetics; methylene blue; polypyrrole/nickel molybdate
Water pollution presents a significant global challenge that impacts the environment. The release of industrial effluents significantly contributes to this. Adsorption studies offer a sustainable and cost-effective solution to efficiently remove organic pollutants from water. The current study comprises a polypyrrole/nickel molybdate composite for the effective adsorption of organic dyes, such as methylene blue, from aqueous solutions. The catalyst has been comprehensively characterized using various techniques, including XRD, FE-SEM, FT-IR, HR-TEM, XPS, BET, TGA, zeta potential, and DLS analysis. Adsorption studies demonstrate up to 97% removal efficiency in 60 min. This study also evaluates the impact of various parameters, such as temperature, pH, dye concentration, and quantity of the catalyst, on the adsorption efficiency. The R2 value of 0.99 that is obtained in the kinetics study suggests the suitability of the adsorption process toward pseudo-second-order kinetics. The adsorption isotherm study reveals that the adsorption follows Freundlich's adsorption isotherm. The maximum adsorption capacity of the study is found to be 17.76 mg/g. Investigations into thermodynamic study give a ?H value of ?19.21 J/mol K, indicating the exothermic behavior, and ?G of ?6.95 KJ/mol, suggesting the spontaneity of the composite during the adsorption process. These results demonstrate the potential of the developed material as an effective adsorbent for removing organic dyes from water sources. 2023 Wiley Periodicals LLC.
P Nayak P.; Varghese A.; Devi K R S.; Pinheiro D.
Journal of Applied Polymer Science, Vol-141, No. 9
https://doi.org/10.1002/app.55069 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180830968&doi=10.1002%2fapp.55069&partnerID=40&md5=14287cda162bad13f138eacd80047d72
P Nayak P., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Devi K R S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bengaluru, India