Transforming Financial Sector Through Financial Literacy and Fintech Revolution
Attitude; Fin-Tech; Financial literacy; Financial well-being; Subjective financial knowledge; Youth
The current research focuses on the financial literacy among the women, youth and impact of fin-tech on the socioeconomic well-being of the economy. The researcher has incorporated extensive data mining on financial well-being and assesses the financial literacy along with attitude and behavior for financial knowledge mainly focusing on youth and usage of AI in financial services. It has been observed during research that the benefits of the technology are limited only to the urban areas, but the rural places are not much benefited and therefore more focus is needed for the financial technology to get amalgamated with rural lifestyle for convenience and transparency of financial transactions. This research paper contributes to the awareness of financial literacy and importance of financial reliance for the youth of today through knowledge sharing. The research also highlights the importance of government involvement in financial literacy and creating awareness at a global level for well-being of youth and women. Financial literacy can also improve the rate of entrepreneurs growth and financial decisions. Financial knowledge and fin-tech services can help in better financial decisions and saving culture for self-reliant youth. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.
Financial Inclusion in Emerging Markets: A Road Map for Sustainable Growth, pp. 239-255.
Makhija P., Center for Management Studies, Jain University, Bangalore, India; Chacko E., Center for Management Studies, Jain University, Bangalore, India; Sinha M., Christ (Deemed to be University), Bangalore, India
Effect of nonlinear thermal radiation on MHD boundary layer flow and melting heat transfer of micro-polar fluid over a stretching surface with fluid particles suspension
Melting heat transfer; Micro-polar dusty fluid; Nonlinear radiation; Numerical method; Stretching sheet
A comprehensive numerical study is conducted to investigate effect of nonlinear thermal radiation on MHD boundary layer flow and melting heat transfer of micro-polar fluid over a stretching surface with fluid particles suspension. Using suitable transformations, the governing equations of the problem are transformed in to a set of coupled nonlinear ordinary differential equations and then they are solved numerically using the Runge-Kutta-Fehlberg method with the help of shooting technique. Authentication of the current method is proved by having compared with established results with limiting solution. The impact of the various stimulating parameters on the flow and heat transfer is analyzed and deliberated through plotted graphs in detail. We found that the velocity, angular velocity and temperature fields increase with an increase in the melting process of the stretching sheet. Also it is visualize that the shear stress factor is lower for micropolar fluids as compared to Newtonian fluids, which may be beneficial in flow and heat control of polymeric processing. 2017 Trans Tech Publications, Switzerland.
Makinde O.D.; Kumar K.G.; Manjunatha S.; Gireesha B.J.
Defect and Diffusion Forum, Vol-378, pp. 125-136.
https://doi.org/10.4028/www.scientific.net/DDF.378.125 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029874788&doi=10.4028%2fwww.scientific.net%2fDDF.378.125&partnerID=40&md5=7c7f80e78bdf60bd4550352a03bf2742
Makinde O.D., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldanha, 7395, South Africa; Kumar K.G., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577 451, India; Manjunatha S., Department of Engineering Mathematics, Faculty of Engineering, Christ University, Mysore Road, Bengaluru, 560074, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577 451, India
MHD nanofluid flow past a rotating disk with thermal radiation in the presence of aluminum and titanium alloy nanoparticles
Aluminum; Heat source; Joule heating; MHD; Nanofluid; Rotating disk; Thermal radiation; Titanium alloy nanoparticles
The effects of thermal and exponential space dependent heat sources (THS and ESHS) on magneto-nanoliquid flow across a rotating disk with uniform stretching rate along radial direction are scrutinized in this communication. H2O based nanoliquids containing aluminium (AA 7075) and titanium (Ti6Al4V) alloy nanoparticles are considered. The AA7075 is made up of 90% Al, 5-6% Zn, 2-3% Mg, 1-2% Cu with additives such as Fe, Mn and Si etc. The flow is driven due to rotating disk with uniform stretching of the disk. Impacts of Joule and viscous heating are also deployed. The multidegree ordinary differential equations are formed via Von Karman transformations. The obtained non-linear BVP is solved by Runge-Kutta-Fehlberg based shooting approach (RKFS). Graphical illustrations depict the impacts of influential parameters on flow fields. The skin friction and Nusselt number are also calculated. Results pointed out that the thermal boundary layer growth stabilizes due to the influence of ESHS aspect. Velocities of AA7075 H2O nanofluid are superior than that of Ti6 Al4V H2O nanoliquid. Furthermore, the thermal performance of base liquid is outstanding when we added titanium alloy nanoparticles in comparison with aluminium alloy nanoparticles. 2018 Trans Tech Publications, Switzerland.
Makinde O.D.; Mahanthesh B.; Gireesha B.J.; Shashikumar N.S.; Monaledi R.L.; Tshehla M.S.
Defect and Diffusion Forum, Vol-384, pp. 69-79.
https://doi.org/10.4028/www.scientific.net/DDF.384.69 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046879140&doi=10.4028%2fwww.scientific.net%2fDDF.384.69&partnerID=40&md5=06515656c1e65a57a0c0587ce75919cf
Makinde O.D., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldaaha, 7395, South Africa; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India, Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India; Shashikumar N.S., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta 577451, Shimoga, Karnataka, India; Monaledi R.L., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldaaha, 7395, South Africa; Tshehla M.S., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldaaha, 7395, South Africa
Significance of buoyancy, velocity index and thickness of an upper horizontal surface of a paraboloid of revolution: The case of non-Newtonian carreau fluid
Boundary layer; Carreau fluid; Deborah number; Power-law index; Stretching surface; Thickness parameter
The problem of fluid flow on air-jet weaving machine (i.e. mechanical engineering and chemical engineering) is deliberated upon in this report using the case of non-Newtonian Carreau fluid flow. In this report, the boundary layer flow of the fluid over an upper horizontal surface of a paraboloid of revolution is presented. The dimensional governing equations were nondimensionalized, parameterized, solved numerically and discussed. Maximum horizontal velocity is ascertained at smaller values of thickness parameter, a larger value of buoyancy related parameter and the flow is characterized as shear-thickening. Local skin friction coefficient is an increasing and a decreasing property of Deborah number for Shear thinning and Shear-thickening cases of the flow respectively. The velocity of the flow parallel to the surface (uhspr) is a decreasing property of thickness parameter and increasing function of velocity index parameter. 2018 Trans Tech Publications, Switzerland.
Makinde O.D.; Omojola M.T.; Mahanthesh B.; Alao F.I.; Adegbie K.S.; Animasaun I.L.; Wakif A.; Sivaraj R.; Tshehla M.S.
Defect and Diffusion Forum, Vol-387, pp. 550-561.
https://doi.org/10.4028/www.scientific.net/DDF.387.550 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059481381&doi=10.4028%2fwww.scientific.net%2fDDF.387.550&partnerID=40&md5=6a5d4753d3aed21a507a7f850a4cba09
Makinde O.D., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldanha, 7395, South Africa; Omojola M.T., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Mahanthesh B., Department of Mathematics, Christ University, Bangalore, 560029, India; Alao F.I., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Adegbie K.S., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Animasaun I.L., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Wakif A., Mechanical Lab, Casablanca, Hassan II University, Morocco, United States; Sivaraj R., Department of Mathematics, Vellore, 632014, India; Tshehla M.S., Faculty of Military Science, Stellenbosch University, Private Bag X2, Saldanha, 7395, South Africa
IDS for Internet of things (IoT) and Industrial IoT Network
The Internet of Things (IoT) is a swiftly increasing domain of interconnected gadgets, technologies, and structures that may be achieved in a small, tightly associated environment or can travel across big geographic areas, including Smart Cities. IoT devices are increasingly deployed for numerous goals inclusive of records sensing, accumulating, and controlling. The IoT enhances user affairs by permitting a huge variety of smart gadgets to link and possible information. IoT gadgets are hastily evolving universally while IoT offerings have become pervasive. IoT devices include a big assortment of devices, along with small, embedded sensors, AI assistants, digital cameras, and so on, which can be found in various backgrounds, i.e., Smart Homes, Smart Communities, and Smart Cities. Smart Cities have developed into intriguing areas with technologies consisting of traffic-conscious streetlights which dynamically react to emergencies by editing site visitors styles. Moreover, with the adoption of 5G networks, technologies and techniques throughout towns have become blended. This persevered improvement of IoT advocated the expansion of sophisticated and complicated systems which appreciably adjust the community. However, these technologies have guided to a brand new threat to the security of grids. Many present-day malware assaults, targeted at classic computer systems linked to the Internet, will also be required for IoT gadgets. With those enhancements, malicious actors have found new methods to control their weaknesses. One of the biggest cyber-attacks in instances of terabits in step with 2d operated, infected IoT gadgets harmonized within a botnet provides a massive DDoS assault which disrupts the Internet range for large geographic regions. This attack underlines the increasing hazard posed via uncertain IoT devices. Moreover, attacks that include those are evolving as greater threats as a larger quantity of exposed gadgets is introduced to networks throughout the globe. Their actions are anomalous and higher are the numbers of hazards and assaults toward IoT devices. Cyber-attacks arent new to the IoT, however as the IoT may be deeply interwoven in our lives and societies, traditional protection resolutions are inadequate when managing these dangers. Oftentimes, safety answers are created to run locally on host appliances, i.e., antivirus software, or as standalone machines (i.e. community firewalls and intrusion detection structures (IDSs). However, the IoT has obtained a clean set of community protocols, together with Zigbee, Ant+, and 6LoWPAN, that traditional safety solutions, such as rule-primarily based firewalls and host-based total antivirus software programs, had been not equipped with or have no longer been revised to account for. Moreover, many IoT gadgets suffer from computational, storehouse, or network situations. Due to those constraints, IoT safety answers, especially an IoT IDS, must be lightweight enough, in phrases of the computational, garage, and networking resources, to be living on the devices but sturdy enough to accurately hit upon potential intrusions. Therefore, a holistic method needs to be regular while coming to IoT intrusion detection. IoT devices cant be considered in a vacuum as self-contained machines due to the fact a totally fledged, modern protection answer is just too aid-annoying for constructing on those gadgets. The normal safety of the network necessitates IoT gadgets to be included as associates within a security answer rather than as man or woman nodes. Therefore, green protection of IoT devices could keep millions of net customers away from malicious moves. However, present malware detection techniques are afflicted by excessive computational complexity. Hence, theres a real necessity to protect the IoT, which has therefore resulted in a requirement to completely recognize the threats and assaults in an IoT infrastructure. 2024 selection and editorial matter, Mayank Swarnkar and Shyam Singh Rajput; individual chapters, the contributors.
Artificial Intelligence for Intrusion Detection Systems, pp. 117-132.
https://doi.org/10.1201/9781003346340-6 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173380698&doi=10.1201%2f9781003346340-6&partnerID=40&md5=8fba0d8de0fc0e1d8afc39fcd79ceb6e
Makwana R., Christ University (Deemed to be University), Bangalore, India
Fractional ReactionDiffusion Model: An Efficient Computational Technique for Nonlinear Time-Fractional Schnakenberg Model
Homotopy analysis method; Laplace transform; LiouvilleCaputo derivative; Schnakenberg model
In this article, the q-homotopy analysis transform method (q-HATM) is committed to finding the solutions and analyzing the gathered results for the nonlinear fractional-order reactiondiffusion systems such as the fractional Schnakenberg model. These models are well known for the modelling of morphogen in developmental biology. The efficiency and reliability of the q-HATM, which is the proper mixture of Laplace transform and q-HAM, always keep it in a better position in comparison with many other analytical techniques. By choosing a precise value for the auxiliary parameter ?, one can modify the region of convergence of the series solution. In the current framework, the investigation of the Schnakenberg models is implemented with exciting results. The acquired results guarantee that the considered method is very satisfying and scrutinizes the complex nonlinear issues that arise in the arena of science and technology. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Malagi N.S.; Prakasha D.G.; Veeresha P.; Prasannakumara B.C.
Lecture Notes in Networks and Systems, Vol-415, pp. 427-454.
Springer Science and Business Media Deutschland GmbH
Malagi N.S., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India; Prakasha D.G., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru-560029, India; Prasannakumara B.C., Department of Studies in Mathematics, Davangere University, Davangere, Shivagangothri, 577007, India
Novel approach for nonlinear time-fractional Sharma-Tasso-Olever equation using Elzaki transform
Elzaki transform; Liouville-Caputo derivative; q-homotopy analysis method; Sharma-Tasso-Olever equation
In this article, we demonstrated the study of the time-fractional nonlinear Sharma-Tasso-Olever (STO) equation with different initial conditions. The novel technique, which is the mixture of the q-homotopy analysis method and the new integral transform known as Elzaki transform called, q-homotopy analysis Elzaki transform method (q-HAETM) implemented to find the adequate approximated solution of the considered problems. The wave solutions of the STO equation play a vital role in the nonlinear wave model for coastal and harbor designs. The demonstration of the considered scheme is done by carrying out some examples of time-fractional STO equations with different initial approximations. q-HAETM offers us to modulate the range of convergence of the series solution using ?, called the auxiliary parameter or convergence control parameter. By performing appropriate numerical simulations, the effectiveness and reliability of the considered technique are validated. The implementation of the new integral transform called the Elzaki transform along with the reliable analytical technique called the q-homotopy analysis method to examine the time-fractional nonlinear STO equation displays the novelty of the presented work. The obtained findings show that the proposed method is very gratifying and examines the complex nonlinear challenges that arise in science and innovation. 2023 Balikesir University. All rights reserved.
Malagi N.S.; Veeresha P.; Prasanna G.D.; Prasannakumara B.C.; Prakasha D.G.
International Journal of Optimization and Control: Theories and Applications, Vol-13, No. 1, pp. 46-58.
https://doi.org/10.11121/ijocta.2023.1265 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148606542&doi=10.11121%2fijocta.2023.1265&partnerID=40&md5=8869b257c241510440ff5e0ec104f268
Malagi N.S., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India; Veeresha P., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Prasanna G.D., Department of Physics, Davangere University, Shivagangothri, Davangere, 577007, India; Prasannakumara B.C., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India; Prakasha D.G., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India
A new computational technique for the analytic treatment of time-fractional EmdenFowler equations
Caputo derivative; EmdenFowler equation; Laplace transform; q-homotopy analysis method
This paper presents the study of fractional EmdenFowler (FEF) equations by utilizinga new adequate procedure, specifically the q-homotopy analysis transform method (q-HATM). The EF equation has got greater significance in both physical and mathematical investigation of capillary and nonlinear dispersive gravity waves. The projected technique is tested by considering four illustrations of the time-fractional EF equations. The q-HATM furnish ?, known as an auxiliary parameter, by the support of ? we can modulate the various stages of convergence of the series solution. Additionally, to certify the resolution and accurateness of the proposed method we fitted the suitable numerical simulations. The redeem results guarantee that the proposed process is more convincing and scrutinizes the extremely nonlinear issues emerging in the field of science and engineering. 2021 International Association for Mathematics and Computers in Simulation (IMACS)
Malagi N.S.; Veeresha P.; Prasannakumara B.C.; Prasanna G.D.; Prakasha D.G.
Mathematics and Computers in Simulation, Vol-190, pp. 362-376.
https://doi.org/10.1016/j.matcom.2021.05.030 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108064921&doi=10.1016%2fj.matcom.2021.05.030&partnerID=40&md5=4c9add747ea833c6e724dcf501c6a270
Malagi N.S., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India; Veeresha P., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Prasannakumara B.C., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India; Prasanna G.D., Department of Physics, Davangere University, Shivagangothri, Davangere, 577007, India; Prakasha D.G., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India
Cardiovascular Disease Prediction Using Machine Learning-Random Forest Technique
Big Data Architecture; Cardiac Disease Analysis; Convolution Neural Network (CNN); Deep Learning Algorithm; Image Processing; Machine Learning-Random Forest (ML-RF)
Cardiovascular diseases (CVDs) pose a significant global health challenge. Early and accurate diagnosis is crucial for effective treatment. This research focuses on developing a robust classification system for CVDs using machine learning techniques. This study proposes an enhanced Random Forest (RF) model optimized for big data environments and explore the potential of CNN-based classification. By leveraging medical imaging data and employing these advanced algorithms, we aim to improve the accuracy and efficiency of CVD diagnosis. 2024 IEEE.
Malarkodi P.; Arun M.; Manikandan R.; Ramkumar S.
5th International Conference on Electronics and Sustainable Communication Systems, ICESC 2024 - Proceedings, pp. 1598-1603.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/ICESC60852.2024.10689896 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206639694&doi=10.1109%2fICESC60852.2024.10689896&partnerID=40&md5=0d01dabfbe59ef475b494e69e943a91d
Malarkodi P., Kalasalingam Academy of Research and Education, Department of Computer Applications, Tamilnadu, Krishnankoil, India; Arun M., Kalasalingam Academy of Research and Education, Department of Computer Applications, Tamilnadu, Krishnankoil, India; Manikandan R., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Ramkumar S., School of Sciences, Christ University, Karnataka, Bengaluru, India
Revolutionising Tumour Diagnosis: How Clinical Application of Artificial Intelligence and Machine Learning Enhances Accuracy and Efficiency
Artificial intelligence; Machine learning; Tumour diagnosis
This research paper examines the transformative influence of Artificial Intelligence (AI) and Machine Learning (ML) on tumour diagnosis within clinical settings. The advent of AI and ML technologies has revolutionised the field of oncology, offering the unprecedented potential for more accurate, timely, and personalised cancer detection. By leveraging vast datasets of medical images, genomic information, and patient records, these intelligent systems enable the early identification of tumours, classification of cancer types, and prediction of patient outcomes with remarkable precision. This paper delves into the mechanisms through which AI and ML algorithms analyse complex data, highlighting their ability to detect subtle patterns and anomalies that may escape human perception. Moreover, we examine the successful integration of these technologies into clinical workflows, their potential to reduce diagnostic errors, and the implications for patient care and outcomes. As AI and ML continue to emerge, the synergy between technology and clinical expertise promises to enhance tumour diagnosis, ultimately contributing to more effective and personalised cancer treatments. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Malathy V.; Pasupulla A.P.; Srivastava D.; Hymavathi J.; Pandian P.M.; Acharjee P.B.
Smart Innovation, Systems and Technologies, Vol-390, pp. 141-151.
Malathy V., School of Engineering, SR University, Telangana, Warangal, India; Pasupulla A.P., Oral and Maxillofacial Pathology, School of Medicine, College of Health Sciences, Wachemo University, Hosanna, Ethiopia; Srivastava D., Department of Biotechnology and Chemical Engineering, Manipal University, Jaipur, India; Hymavathi J., Department of Computer Science and Engineering, KLEF, Andhra Pradesh, Vaddeswaram, India; Pandian P.M., Department of Chemistry, Saveetha Engineering College, Chennai, Thandalam, India; Acharjee P.B., Computer Science, CHRIST University Pune Lavasa Campus, Lavasa, India
Improving Image Clarity with Artificial Intelligence-Powered Super-Resolution Methods
Artificial intelligence; Deep learning; Image quality; Super resolution
Super-resolution has advanced significantly in the last 20years, particularly with the application of deep learning methods. One of the most important image processing methods for boosting an image's resolution in computer vision is image super-resolution besides providing an extensive overview of the most recent developments in artificial intelligence and deep learning for single-image super-resolution. This study delves into the subject of image enhancement by investigating sophisticated AI-based super-resolution techniques. High-quality photographs have become more and more in demand in a variety of industries recently, including medical imaging, satellite imaging, entertainment, and surveillance. Pixilation reduction and detail preservation are two areas where traditional image enhancing techniques fall short. Artificial intelligence has demonstrated amazing promise in addressing these issues, especially with regard to Deep Learning models. The applications, benefits, and difficulties of modern super-resolution techniques are thoroughly examined in this work. We also suggest new approaches and push the limits of image enhancement by experimenting with state-of-the-art artificial intelligence algorithms. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Malathy V.; Poornima M.; Varun V.L.; Venugopal P.; Acharjee P.B.; Krishnaveni S.
Smart Innovation, Systems and Technologies, Vol-390, pp. 127-140.
Malathy V., School of Engineering, SR University, Telangana, Warangal, India; Poornima M., Department of Mathematics, SJB Institute of Technology, Bengaluru, India; Varun V.L., Department of Mathematics, SJB Institute of Technology, Bengaluru, India; Venugopal P., Department of Mathematics, SJB Institute of Technology, Bengaluru, India; Acharjee P.B., Computer Science, CHRIST University Pune, Lavasa Campus, Lavasa, India; Krishnaveni S., Department of Management Studies, Adithya Institute of Technology, Coimbatore, Kovilpalayam, India
Gut-Skin Axis: Role in Health and Disease
Dermatitis; Dysbiosis; Gut-Skin Axis; Microbiome; Probiotics
The human microbiome includes microorganisms and their cumulative genetic details that reside in the human body. Skin, the bodys most external organ and exposed to the external environment, is an ecosystem with 1.8 m2 area. It has a varying epidermal thickness, folds, and appendages in different areas including along with varying moisture and temperature level on the skin surface. Microbial colonization on the skin surface starts from the time of birth. The mode of delivery affects the colonization process to a considerable extent. The group of microbes colonizing the skin surface is determined by physical and chemical features of it, which applies to microbes inhabiting the gut and other ecological niches in the body as well. There is several common important characteristics shared commonly by gut and skin, where both are (1) heavily vascularized, (2) richly perfused, (3) densely innervated, (4) integrated to the immune system, (5) highly associated with the endocrine system, (6) extensively colonized with recognizable microbiota, and (7) both helps our body to communicate with its external environment. It has variously been reported that a close and bidirectional association within the gut and skin in maintaining the homeostasis and allostasis of skin and also gastrointestinal (GI) health. Therefore, numerous intestinal pathologies have been linked to skin comorbidities. It has been found that skin is directly impacted by the various circumstances that principally affect the intestine. Similarly, various gastrointestinal disorders could be linked to distinct dermatological entities. In the same context, a growing body of proof proposes an association of intestinal dysbiosis with many regular inflammatory skin pathologies including atopic dermatitis (AD), psoriasis, rosacea, and acne vulgaris. And the realization of this interconnected association between skin and gut has resulted in a new concept of the Gut-Skin Axis. An intimate bidirectional engagement between the gut and the skin has been well established by growing research evidence in this domain. Recent reports have indicated that the administration of specific Lactobacilli strains to mice can significantly alter the overall skin phenotype. Despite increasing research efforts in this domain, a systematic investigation of the Gut-Skin Axis remains ill explored by both gastroenterology as well as dermatology researchers. And in this context, here we are discussing various aspects of the Gut-Skin Axis and its role in the general well-being of individuals. The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2022.
Malaviya A.; Krishna K.V.; Malviya S.; Das T.N.
Probiotic Research in Therapeutics: Volume 3: Probiotics and Gut Skin AxisInside Out and Outside In, Vol-3, pp. 1-26.
Malaviya A., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Krishna K.V., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Malviya S., National Centre for Biological Sciences (NCBS), TATA Institute of Fundamental Research, GKVK Campus, Bengaluru, India; Das T.N., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India
Artemisia annua; Artemisinin; Malaria; Terpenoid
Artemisinin is known to be a potent antimalarial drug which is naturally obtained from the plant Artemisia annua L. Malaria is a global health problem with nearly 1.2 billion people at high risk. In 2001, WHO recognised artemisinin based combination therapies (ACTs), as the frontline drugs to fight against malaria and therefore, artemisinin is the most effective anti-malarial drug. It appears to be a safe drug with no adverse reactions or noticeable side effects, even for pregnant women. However, access to ACTs by malarial patients, especially in poor countries, is inadequate due to high volatility in price, unpredictable demand and low yield from A. annua. The huge gap in demand and supply has motivated researchers to explore artemisinin production in alternative systems like bacteria, yeast and tobacco. Scientists have been successful in producing this wonder molecule in heterologous hosts. Challenges associated with large-scale production and drug resistance against artemisinin has also been discussed to present a comprehensive picture of artemisnin production, application and limitations. 2019 Scrivener Publishing LLC. All rights reserved.
Malaviya A.; Malhotra K.; Agarwal A.; Saikia K.
High Value Fermentation Products, Volume 1: Human Health, pp. 347-364.
Malaviya A., Department of Chemistry, CHRIST (Deemed To Be University), Hosur Road, Bengaluru, India; Malhotra K., National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bellary Road, Bengaluru, India; Agarwal A., Department of Chemistry, CHRIST (Deemed To Be University), Hosur Road, Bengaluru, India; Saikia K., Department of Life Sciences, CHRIST (Deemed To Be University), Hosur Road, Bengaluru, India
Saccharomyces - eukaryotic probiotic for human applications
Diarrheal diseases; Eukaryotic probiotic; Inflammatory bowel disease; Saccharomyces boulardii
Probiotics are viable microorganisms which are meant to confer health benefits to host after ingestion. Any probiotic strain has a special characteristic to survive in the extremely acidic and hostile conditions of stomach and intestine. Among all the commercially available probiotic strains, prokaryotes constitute the bulk of it, with quite a few belonging to eukaryotic yeasts. Eukaryotic probiotics are very limited and currently there are only two yeast strains (Saccharomyces boulardii and Kluyveromyces sp.), which are approved for human consumption and are available commercially in market. S. boulardii has been reported to have tremendous therapeutic potential. The main mechanism of action for S. boulardii includes strong antagonistic effect against a number of enteric pathogens, trophic effects on the intestinal mucosa, neutralisation of bacterial toxins as well as modification of host cell signaling pathways involved in inflammatory and non-inflammatory intestinal disease. Pertaining to these advantages, S. boulardii have been reported to be exceptionally effective against diarrheal diseases and intestinal inflammatory conditions including inflammatory bowel disease (IBD). Increasing scientific reports confirming the therapeutic potential of eukaryotic probiotics and their advantages over prokaryotic probiotic strains have dramatically increased the worldwide interest in these probiotics. 2019 Scrivener Publishing LLC.
Malaviya A.; Malviya S.; Agarwal A.; Mishra M.; Dalmida V.
A Handbook on High Value Fermentation Products, Volume 2: Human Welfare, pp. 211-229.
Malaviya A., Department of Chemistry, Christ (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Malviya S., National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bellary Road, Bengaluru, 560065, India; Agarwal A., Department of Chemistry, Christ (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Mishra M., Department of Chemistry, Christ (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Dalmida V., Department of Chemistry, Christ (Deemed to be University), Hosur Road, Bengaluru, 560029, India
Bacteriocins; Cancer; Dysbiosis; Microbiome; Probiotics
The human microbiota is a concoction of bacteria, archaea, fungi, and other microorganisms. It is necessary to maintain a partnership between the host and the microbiota in order to maintain the different aspects of human physiology, such as nutrient absorption, immune function and metabolism. The microbiota can contribute to both progression and suppression of the disease, including cancer. A disturbance in this interspecies balance called microbiome dysbiosis becomes a reason for the host to be more prone to issues such as immunodeficiency and cancer. Gut microbiota could potentially influence the factors that govern cancer susceptibility and progression through mechanisms such as immunomodulation, by producing metabolites, such as, bacteriocins, antimicrobial peptides involved in tumor suppression, and short-chain fatty acids (SCFA), and through enzymatic degradation. It is now an established fact that the host physiology as well as risk of diseases such as cancer could be greatly modulated by these commensal microbes and the regulation of cancer development, progression as well as response to anticancer therapy is greatly dependent on the host microbiota. Therefore, it is being envisaged that by the involvement of microbiome in augmenting antitumor responses to therapeutic approaches, potentially a new era of research with potentially broad implication on cancer treatment could be established. Better cancer treatment responsiveness can be achieved by understanding the role of the tumor microbiome in shaping the tumor microenvironment. This will help us to develop personalized anticancer solution with the goal to discover a bacterial species or a combination of species that decreases systemic toxicity and helps in anticancer therapy. This chapter is written in same context, which focuses on the association of the gut microbiome with the suppression and progression of cancers, the role of the immune system in this interaction, the utilization of these organisms for the treatment of cancers, and future perspectives. Springer Nature Singapore Pte Ltd. 2021, corrected publication 2021.
Malaviya A.; Paari K.A.; Malviya S.; Kondapalli V.K.; Ghosh A.; Samuel R.A.
Probiotic Research in Therapeutics: Volume 1: Applications in Cancers and Immunological Diseases, Vol-1, pp. 1-27.
Malaviya A., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Paari K.A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Malviya S., National Centre for Biological Sciences (NCBS), TATA Institute of Fundamental Research, Bengaluru, India; Kondapalli V.K., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Ghosh A., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Samuel R.A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India
A synbiotic composition and application thereof /
Patent Number: 202041045417, Applicant: Alok Kumar Malaviya.
https://drive.google.com/file/d/1QFfHVsPP8jhOb18og68FXVbyiwecPSSs/view
Emotional intelligence, job satisfaction and psychological well-being among nurses in a tertiary care hospital
Emotional Intelligence; Job Satisfaction; Nurse; Psychological well-being
Background: Emotional intelligence helps in preservation of mental health because of their effective emotional regulation skills. Objectives: We aimed to evaluate the impact of emotional intelligence on nurses job satisfaction and psychological well-being. Methods: This cross-sectional study was conducted in a tertiary hospital and included 120 nurses. Wong and Law Emotional Intelligence Scale, Psychological General Well-being scale and Job Satisfaction Survey questionnaires were used. Results: The study showed a low positive correlation between emotional intelligence and psychological wellbeing (r=0.313) and a low correlation between emotional intelligence and job satisfaction (r= 0.122). The emotional intelligence was significantly correlated to their psychological well-being (9.8%). Conclusion: Nurses with higher emotional intelligence experience greater psychological well-being. We did not find a link between emotional intelligence and job satisfaction. Implementing interventions to enhance emotional intelligence in nurses is crucial for improving psychological well-being and reducing burnout risk. The Author(s). 2024.
Malayil C.; Krishnan G.; Sharma T.; Shetty S.B.; Pai K.; Gangadhara V.K.
Indian Journal of Community Health, Vol-36, No. 5, pp. 737-740.
Indian Association of Preventive and Social Medicine
https://doi.org/10.47203/IJCH.2024.v36i05.017 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211216593&doi=10.47203%2fIJCH.2024.v36i05.017&partnerID=40&md5=fe79328ca4a700220dcc37d85465319f
Malayil C., Malabar Cancer Center, Thalassery, Kannur, Kerala, Kodiyeri, India; Krishnan G., Department of Psychology, Christ (Deemed to be University), Karnataka, Bangalore, India; Sharma T., Department of Psychiatry, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; Shetty S.B., Department of Psychiatry, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; Pai K., Department of Psychiatry, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India; Gangadhara V.K., Department of Psychiatry, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India
Agriculture as a means of alleviating rural poverty: Pursuant to the sustainable development goal-1
Global poverty; Rural non-farm sector; Rural poverty; Sustainable development goals
Poverty is one of the worst problems prevailing in the world. The poorest in the world are often without food, have little or no access to education, basic amenities of life, and lack health facilities. Eradication of Global Poverty eradication is a herculean and complex task. The origination of 2030 Agenda to eradicate poverty was done after the successful completion of the anti-poverty Millennium Development Goal, but still, a vast number of people were living in poverty and a great number among them were living in extreme poverty. So, the 2030 Agenda for Sustainable Development called for the eradication of poverty in all poverty in forms from every corner of the world by almost half. In backward and developing nations, poverty is more rampant in rural areas. The economies of most of these nations are predominantly based on Agriculture and therefore progress in agriculture is viewed as a potent tool to eradicate rural poverty. However, there are serious issues that are required to be addressed in this regard. This chapter explores some vital issues related to agriculture which require the attention of the policymakers, to achieve the objective of reducing rural poverty through advancement in agriculture. 2023 Nova Science Publishers, Inc. All rights reserved.
Modeling for Sustainable Development: A Multidisciplinary Approach, pp. 103-114.
Malhotra A., CHRIST (Deemed to be University), Ghaziabad, India; Rastogi S., CHRIST (Deemed to be University), Ghaziabad, India; Kandpal V., University of Petroleum & Energy Studies, Dehradun, India
A device for caregiver wellbeing assessment and a method thereof /
Patent Number: 202111033343, Applicant: Dr. Ruchi Tyagi.A system and a method for wellbeing assessment to assess psychological and mental needs of caregivers. The method comprising the steps of identifying categories of psychological need, wherein said categories comprises competence, results doubting, self-esteem and fears of failures, criticism, and expectations; plotting category theme on the basis of the identified categories; determining factors affecting the psychological needs of caregivers in COVID 19 situation on the basis of the plotted category theme, where said factors comprise depression, anxiety and/or stress assessment.
https://drive.google.com/file/d/1RLnPPkSzzoQra2oFG1VJvA1-DkYc9qaj/view
Emotional Abuse and the Pandemic in India: Implications for Policy, Research, and Practice
emotional violence; gender roles; mental health; National Family Health Survey; pandemic
During the COVID-19 outbreak, cases of violence and abuse have increased significantly around the world, necessitating a reevaluation of our relation-ships. Both violence and abuse seek to control and instill fear in the individ-ual, gradually disrupting their overall well-being. Emotional abuse does not receive the same level of attention and social response as other forms of abuse due to its subtle nature. Its effects are as harmful as physical and sexual abuse, with serious consequences for the mental health of individual and their families. The COVID-19 pandemic has brought to light the importance of mental health. With the imposition of lockdown in India, the number of helplines for domestic violence and abuse has skyrocketed. Abuse experien-ces can be seen to be bidirectional; women are not alone in such instances. Many cases, however, go unreported and never reach formal institutions. The National Family Health Survey (2019-2021) reveals the current state of Indian health and nutrition, but emotional abuse (also referred to inter-changeably in this article as emotional violence) only includes responses from women and is no longer included under spousal violence in the most recent edition. This article also includes recommendations and attempts to highlight existing shortcomings in addressing the issue of emotional violence. The articles cited in this article were obtained from electronic databases. Other secondary data sources mentioned include newspaper articles, magazines, census reports, and periodicals. 2024 Springer Publishing Company.
Partner Abuse, Vol-15, No. 1, pp. 95-115.
https://doi.org/10.1891/PA-2023-0023 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183628709&doi=10.1891%2fPA-2023-0023&partnerID=40&md5=b328668f3035e6752b3026f75be283c4
Maliakkal D.J., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, 560029, India; George T.S., Department of Psychology, CHRIST (Deemed to be University), Bengaluru, 560029, India