High performance computational method for fractional model of solid tumour invasion
Fixed point techniques; Fractional derivative and integrals; Homotopy; Mathematical models
The behaviour of the solid tumour invasion system in the sense of Caputo fractional with time ? and space x is analyzed by the high performance computational method: q-Homotopy Analysis Transform method (q-HATM). The existence of the solutions has been verified with the assist of fixed point theorem and derived numerical solution for different values of ?,?,h. The novel simulation for all cases is explained through figures. We derived that the method is very efficient for analyzing the behaviour of the epidemiological system. 2023 THE AUTHORS
Nisar K.S.; Jagatheeshwari R.; Ravichandran C.; Veeresha P.
Ain Shams Engineering Journal, Vol-14, No. 12
https://doi.org/10.1016/j.asej.2023.102226 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151410084&doi=10.1016%2fj.asej.2023.102226&partnerID=40&md5=84e62c12ef1768e44245409df0d14e4e
Nisar K.S., Department of Mathematics, College of Science and Humanities, Prince Sattam Bin Abdulaziz University, Al Kharj, Saudi Arabia; Jagatheeshwari R., Department of Mathematics, Kumaraguru college of Liberal Arts and Science, Coimbatore, India; Ravichandran C., Department of Mathematics, Kongunadu Arts and Science College, Coimbatore, India; Veeresha P., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India
Lesion detection in women breasts dynamic contrast-enhanced magnetic resonance imaging using deep learning
Breast cancer is one of the most common cancers in women and the second foremost cause of cancer death in women after lung cancer. Recent technological advances in breast cancer treatment offer hope to millions of women in the world. Segmentation of the breasts Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is one of the necessary tasks in the diagnosis and detection of breast cancer. Currently, a popular deep learning model, U-Net is extensively used in biomedical image segmentation. This article aims to advance the state of the art and conduct a more in-depth analysis with a focus on the use of various U-Net models in lesion detection in womens breast DCE-MRI. In this article, we perform an empirical study of the effectiveness and efficiency of U-Net and its derived deep learning models including ResUNet, Dense UNet, DUNet, Attention U-Net, UNet++, MultiResUNet, RAUNet, Inception U-Net and U-Net GAN for lesion detection in breast DCE-MRI. All the models are applied to the benchmarked 100 Sagittal T2-Weighted fat-suppressed DCE-MRI slices of 20 patients and their performance is compared. Also, a comparative study has been conducted with V-Net, W-Net, and DeepLabV3+. Non-parametric statistical test Wilcoxon Signed Rank Test is used to analyze the significance of the quantitative results. Furthermore, Multi-Criteria Decision Analysis (MCDA) is used to evaluate overall performance focused on accuracy, precision, sensitivity, F 1 -score, specificity, Geometric-Mean, DSC, and false-positive rate. The RAUNet segmentation model achieved a high accuracy of 99.76%, sensitivity of 85.04%, precision of 90.21%, and Dice Similarity Coefficient (DSC) of 85.04% whereas ResNet achieved 99.62% accuracy, 62.26% sensitivity, 99.56% precision, and 72.86% DSC. ResUNet is found to be the most effective model based on MCDA. On the other hand, U-Net GAN takes the least computational time to perform the segmentation task. Both quantitative and qualitative results demonstrate that the ResNet model performs better than other models in segmenting the images and lesion detection, though computational time in achieving the objectives varies. 2023, The Author(s).
Saikia S.; Si T.; Deb D.; Bora K.; Mallik S.; Maulik U.; Zhao Z.
Saikia S., Information Technology Department, Oil India Limited, Assam, Duliajan, 786602, India; Si T., AI Innovation Lab, Department of Computer Science & Engineering, University of Engineering & Management, Jaipur, GURUKUL, Rajasthan, Jaipur, 303807, India; Deb D., Department of Computer Application, Christ University, Bengaluru, 560029, India; Bora K., Department of Computer Science and Information Technology, Cotton University, Assam, Guwahati, 781001, India; Mallik S., Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, 02115, MA, United States; Maulik U., Department of Computer Science and Engineering, Jadavpur University, Kolkata, India; Zhao Z., Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, 77030, TX, United States
Did Russia's Invasion of Ukraine Induce Herding Behavior in the Indian Stock Market?
event window; geopolitical conflicts; herding behavior; Hurst exponent; MFDFA; multifractal; stock market; war
This study empirically examines the herding behavior of the Indian stock market investors during the heightened geopolitical tensions between Russia and Ukraine in 2022. An intensified Russia-Ukraine geopolitical event window was constructed, and the high-frequency trading data (intraday) of the Nifty index was analyzed using Multifractal Detrended Fluctuation Analysis (MFDFA) to compute the 5th-order Hurst exponent (Hq (5)) that detects herding behavior. The study's empirical results revealed the presence of profound herding behavior during the intensified Russia-Ukraine geopolitical event window. The study contributes to the existing literature on herding behavior by examining the impact of a geopolitical event on the Indian stock market. Additionally, the study utilizes MFDFA to compute Hurst exponents, a relatively new approach to detecting herding behavior in financial markets. The findings of this study may assist investors and policymakers in understanding the impact of geopolitical events on financial markets and the potential for herding behavior among investors during times of heightened uncertainty. The study's results demonstrate the interconnectedness of global events and financial markets, highlighting the need for policymakers to consider the potential social and economic consequences of geopolitical events. 2023 The Author(s).
Theoretical and Practical Research in the Economic Fields, Vol-14, No. 2, pp. 484-498.
All Open Access; Hybrid Gold Open Access
https://doi.org/10.14505/tpref.v14.2(28).24 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180526744&doi=10.14505%2ftpref.v14.2%2828%29.24&partnerID=40&md5=2357e0f53af521bbe36974bde70e83f4
Khan T., School of Commerce, Finance and Accountancy CHRIST (Deemed to be University), Bengaluru, India; Natchimuthu N., School of Commerce, Finance and Accountancy CHRIST (Deemed to be University), Bengaluru, India; Krishna T.A., Department of Professional Studies CHRIST (Deemed to be University), Bengaluru, India
Exploring the Influence Dynamism of Economic Factors on Fluctuation of Exchange Rate-An Empirical Investigation for India Using ARDL Model
balance of payments; exchange rate; GDP; inflation; public debt
The Indian Foreign Exchange Market has experienced significant changes over the past decade, due to high degree of instability of the Indian Rupee leading to its devaluation against major global currencies. Exchange rate is considered as one of crucial indicators to determine the economic growth. Volatility of exchange rate of each day is influenced by various factors such as demand and supply, Gross Domestic Product, Interest rate, employment rate, public debt, balance of payments, inflation etc. Though there are multiple causes to determine the movement of exchange rate, but still the accurate level of causation is unpredictable. Keeping this in mind, this paper tries to attempt the relationship that exists between the exchange rate and select macroeconomic factors. To analyse the extent of influence of the selected variables on the exchange rate, the research paper uses 10 years of data spanning from Jan 2013 to Nov 2022. Further, the study uses monthly data of above-mentioned variables to bring out the analysis to meet the objectives. Descriptive statistics is used to find the characteristics of the data, correlation analysis and Ordinary Least Square method is used to find the relationship and impact level select macroeconomic factors on exchange rate. Autoregressive Distributed Lag (ARDL) model is used to find if any short run and long run association exists between the variables and the exchange rate. 2023, ASERS Publishing House. All rights reserved.
Pachiyappan S.; Jain A.; Raj V.J.P.; Vellaiyan S.
Theoretical and Practical Research in the Economic Fields, Vol-14, No. 2, pp. 258-268.
https://doi.org/10.14505/tpref.v14.2(28).06 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180428350&doi=10.14505%2ftpref.v14.2%2828%29.06&partnerID=40&md5=b3913cbf4c5fee9d936fd65bd2cace0e
Pachiyappan S., School of Business and Management CHRIST (Deemed to be University), Bangalore, India; Jain A., School of Business and Management CHRIST (Deemed to be University), Bangalore, India; Raj V.J.P., School of Business and Management CHRIST (Deemed to be University), Bangalore, India; Vellaiyan S., School of Business and Management CHRIST (Deemed to be University), Bangalore, India
The Universal Dimensions of Change: A Systematic Review of Couple Techniques
Change dimensions; Common factors integration; Couple intervention; Marital therapy; Review; Techniques; Training
One can find a rich set of empirically evaluated techniques across different schools in couple therapy over its evolution of five decades. Though there are multiple systematic reviews and analyses of couple intervention studies, none focus on reviewing the universal dimensions of change across therapeutic techniques. Understanding the common areas of change would enable integrated learning across therapy modalities for novice therapists. Therefore, the aim is to identify the techniques employed in couple intervention research and categorize their change dimensions. We examined 40 articles on couple interventions published across 16 journals and identified 111 techniques. The five therapeutic change dimensions, namely behavior, cognition, emotion, attachment, and holistic, were categorized based on the common factor integration of techniques. The identified techniques were further classified under the five dimensions using the voting procedure to validate the universality of change dimensions. 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Rajendrakumar J.; Manjula V.; George T.S.; Wesley M.S.
Contemporary Family Therapy, Vol-45, No. 4, pp. 371-393.
Rajendrakumar J., Department of Psychology, Christ (Deemed to be University), Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Manjula V., Department of Psychology, Christ (Deemed to be University), Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; George T.S., Department of Psychology, Christ (Deemed to be University), Dharmaram College Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Wesley M.S., Client Engagement, Silver Oak Health, Bengaluru, India
Theorizing the Phenomenon of Women Empowerment in a Course to Discover the Purpose of Life for Marginalized Women in IndiaEvidence from Phool
dignity; economic sovereignty; empowerment; Marginalized women; research-based case; social embracement; theory building
The present study attempts to theorize the phenomenon of empowerment of marginalized women in the context of social enterprises involved in sustainable business practices. To extract the deeper meaning of empowerment of such women, an inductive process using Gioias method was employed by interviewing 13 marginalized women working in the social enterprise Phool. The venture is involved in recycling sacred floral waste into incense sticks, organic fertilizers, and other sustainable packaging solutions. The findings of the study were built on the Social Identity Theory, which emphasizes the fundamental need to be a part of social groups. Our findings suggest that for marginalized women, empowerment manifests in dignity and honour, economic sovereignty and social admittance and embracement. The study contributes to the extant literature on womens empowerment by intersecting with the phenomenon of marginalization in the context of social enterprise and explains how marginalized women experience empowerment at work. 2023 Birla Institute of Management Technology.
South Asian Journal of Business and Management Cases, Vol-12, No. 3, pp. 352-371.
Tyagi P., Amity College of Commerce and Finance, Amity University, Uttar Pradesh, Noida, India; Upadhyay D., Department of Commerce, Christ University, Karnataka, Bengaluru, India
Aging Bodies and Necropower: A Critical Study of Geronticide in Tamil Films K.D. and Thalaikoothal
Achille Mbembe; aging bodies; necropower; senicide; Tamil films; Thalaikoothal
This paper analyzes the act of thalaikoothal, performed on ill and infirm older people in the southern part of the state of Tamil Nadu, India, with reference to two Tamil films, K.D. (2019) and Thalaikoothal (2023), which portray the horrors of the practice. A kind of involuntary euthanasia, the ritual continues to have covert social acceptance as exemplified in the films, favoring the common stereotype that marks aging bodies as unproductive and unworthy of living. Therefore, this article explores the aging bodies in the films as sites of power, controlled by death enforced through Thalaikoothal, employing Mbembes concept of necropower. It also examines the effects of the practice on the elderly, who are compelled to prepare themselves for a forced death. The study further identifies the underlying factors contributing to the prolonged existence of Thalaikoothal even in the present times. 2023, University of Zadar. All rights reserved.
All Open Access; Gold Open Access; Green Open Access
https://doi.org/10.15291/sic/1.14.lc.3 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180522384&doi=10.15291%2fsic%2f1.14.lc.3&partnerID=40&md5=cf1bb99b41c8666116441657e76ec581
Thomas G., Christ University, India; Kumar S., Christ University, India
The computational model of nanofluid considering heat transfer and entropy generation across a curved and flat surface
The entropy generation analysis for the nanofluid flowing over a stretching/shrinking curved region is performed in the existence of the cross-diffusion effect. The surface is also subjected to second-order velocity slip under the effect of mixed convection. The Joule heating that contributes significantly to the heat transfer properties of nanofluid is incorporated along with the heat source/sink. Furthermore, the flow is assumed to be governed by an exterior magnetic field that aids in gaining control over the flow speed. With these frameworks, the mathematical model that describes the flow with such characteristics and assumptions is framed using partial differential equations (PDEs). The bvp4c solver is used to numerically solve the system of non-linear ordinary differential equations (ODEs) that are created from these equations. The solutions of obtained through this technique are verified with the available articles and the comparison is tabulated. Meanwhile, the interpretation of the results of this study is delivered through graphs. The findings showed that the Bejan number was decreased by increasing Brinkman number values whereas it enhanced the entropy generation. Also, as the curvature parameter goes higher, the speed of the nanofluid flow diminishes. Furthermore, the increase in the Soret and Dufour effects have enhanced the thermal conduction and the mass transfer of the nanofluid. 2023, The Author(s).
Alharbi S.O.; Smarandache F.; Elsiddieg A.M.A.; Alqahtani A.M.; Khan M.R.; Puneeth V.; Becheikh N.
Alharbi S.O., Mathematics Department, College of Science Al-Zulfi, Majmaah University, Majmaah, 11952, Saudi Arabia; Smarandache F., Mathematics, Physics, and Natural Science Division, The University of New Mexico, 705 Gurley Ave., Gallup, 87301, NM, United States; Elsiddieg A.M.A., Department of Mathematics, College of Science and Humanities, Prince Sattam bin Abdul-Aziz University, Al-Kharj, 11942, Saudi Arabia; Alqahtani A.M., Department of mathematical sciences, College of Science, Princess Nourah Bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia; Khan M.R., Department of Mathematics, Quaid-I-Azam University, Islamabad, 44000, Pakistan; Puneeth V., School of Sciences, CHRIST University, Delhi NCR, Ghaziabad, 201003, India; Becheikh N., College of Engineering, Northern Border University, Arar, 73222, Saudi Arabia
Potential of banana based cellulose materials for advanced applications: A review on properties and technical challenges
Banana derived nanomaterials; Biopolymer; Medical applications; Nanocellulose
Biocompatibility, biodegradability, and toxicity issues of synthetic polymers have propelled the search for environmentally friendly and non-toxic alternatives. In this context, biobased materials have gained much popularity due to their non-toxic, biodegradable, and sustainable nature. Bananas are considered as one of such natural material which fulfil the requirements to be tailored as a biocompatible biopolymer. Banana derived wastes can be used for extraction of commercially important biopolymers like starch, cellulose, nanocellulose and their subsequent utilization in wide variety of applications. Banana derived biopolymers and their bio composites and widely used for medical applications such as wound healing, fabrication of bone plates, cellulose based gate dielectrics, and capacitors for insulin pumps, and pacemakers. In addition, banana based nanocellulose can be used in tissue engineering, biosensing, drug delivery, bioimaging, wound healing, enzyme immobilization and preparation of tablets for oral administration. Moreover, banana-based polymers can be employed in applications such as food packaging, biofuel production, and production of multilayered papers. Considering the potential applications of banana-based nanomaterials, this review work is framed to understand the process of extraction of starch, cellulose, nanocellulose and biopolymers from banana derived wastes with specific emphasis on their extraction methods and composite preparation methods. In addition, it discusses in detail the promising and potential applications of the derived materials in health and environmental sectors. The presented review is a comprehensive discussion on banana-based waste conversion strategies to produce value added products useful in medical and environmental applications. 2023 The Author(s)
Kumar V.; Chakraborty P.; Janghu P.; Umesh M.; Sarojini S.; Pasrija R.; Kaur K.; Lakkaboyana S.K.; Sugumar V.; Nandhagopal M.; Sivalingam A.M.
Carbohydrate Polymer Technologies and Applications, Vol-6
https://doi.org/10.1016/j.carpta.2023.100366 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173933501&doi=10.1016%2fj.carpta.2023.100366&partnerID=40&md5=422a9758774b05057c2a98d46bbda59f
Kumar V., Bioconversion and Tissue Engineering Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Chakraborty P., School of Allied Healthcare and Sciences, Jain (Deemed to be) University, Whitefield, Karnataka, Bangalore, 66, India; Janghu P., Department of Biochemistry, Maharshi Dayanand University, Haryana, Rohtak, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Pasrija R., Department of Biochemistry, Maharshi Dayanand University, Haryana, Rohtak, India; Kaur K., Punjab Agricultural University, Institute of Agriculture, Punjab, Gurdaspur, 143521, India; Lakkaboyana S.K., Department of Chemistry, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and 17 Technology, Chennai, Avadi, 600062, India, Department of Anatomy, Biomedical Research Unit and Lab Animal Centre, Saveetha Dental 19 College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamilnadu, Chennai, India; Sugumar V., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Nandhagopal M., Department of Microbiology, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Sivalingam A.M., Natural Products & Nanobiotechnology Research Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India
Machine Learning-Enabled NIR Spectroscopy. Part 3: Hyperparameter by Design (HyD) Based ANN-MLP Optimization, Model Generalizability, and Model Transferability
Artificial Neural Network Multilayer Perceptron (ANN-MLP); data-driven modelling; design of experiments (DoE); hyperparameter optimization; model generalizability; model lifecycle management; model transferability; near infrared (NIR); process monitoring; statistical process control (SPC); target drift detection
Data variations, library changes, and poorly tuned hyperparameters can cause failures in data-driven modelling. In such scenarios, model drift, a gradual shift in model performance, can lead to inaccurate predictions. Monitoring and mitigating drift are vital to maintain model effectiveness. USFDA and ICH regulate pharmaceutical variation with scientific risk-based approaches. In this study, the hyperparameter optimization for the Artificial Neural Network Multilayer Perceptron (ANN-MLP) was investigated using open-source data. The design of experiments (DoE) approach in combination with target drift prediction and statistical process control (SPC) was employed to achieve this objective. First, pre-screening and optimization DoEs were conducted on lab-scale data, serving as internal validation data, to identify the design space and control space. The regression performance metrics were carefully monitored to ensure the right set of hyperparameters was selected, optimizing the modelling time and storage requirements. Before extending the analysis to external validation data, a drift analysis on the target variable was performed. This aimed to determine if the external data fell within the studied range or required retraining of the model. Although a drift was observed, the external data remained well within the range of the internal validation data. Subsequently, trend analysis and process monitoring for the mean absolute error of the active content were conducted. The combined use of DoE, drift analysis, and SPC enabled trend analysis, ensuring that both current and external validation data met acceptance criteria. Out-of-specification and process control limits were determined, providing valuable insights into the models performance and overall reliability. This comprehensive approach allowed for robust hyperparameter optimization and effective management of model lifecycle, crucial in achieving accurate and dependable predictions in various real-world applications. Graphical Abstract: [Figure not available: see fulltext.]. 2023, The Author(s).
Ali H.; Muthudoss P.; Chauhan C.; Kaliappan I.; Kumar D.; Paudel A.; Ramasamy G.
Springer Science and Business Media Deutschland GmbH
Ali H., Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India; Muthudoss P., A2Z4.0 Research and Analytics Private Limited, Tamilnadu, Chennai, 600062, India, NuAxon Bioscience Inc., Bloomington, 47401-6301, IN, United States, School of Pharmaceutical Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Velan Nagar P.V. Vaithiyalingam Road Pallavaram 600117, Tamilnadu, Chennai, India; Chauhan C., The Machine Learning Company, Pune, India; Kaliappan I., School of Pharmacy, Hindustan Institute of Technology and Science (HITS), Padur, Tamilnadu, Chennai, 603 103, India; Kumar D., Department of Pharmaceutical Engineering & Technology, IIT (BHU), Uttar Pradesh, Varanasi, 221011, India; Paudel A., Research Center Pharmaceutical Engineering GmbH (RCPE), Inffeldgasse 13, Graz, 8010, Austria, Graz University of Technology, Institute of Process and Particle Engineering, Inffeldgasse 13/3, Graz, 8010, Austria; Ramasamy G., Christ (Deemed to Be University), Karnataka, Bangalore, 560029, India
memetics; modal ensemble; multimodality; political communication
Memes have now become a common medium of communication. There are multiple ways memes are considered in academia. Semiotics offers information on how the media and modes that memes consist of can be interpreted and how the characteristics of semiotic resources apply to memes. Drawing from a pool of memes collected during the Kerala assembly election in 2021, this research argues that certain memes need to be categorised as multimodal ensemble. Different modalities play different roles meaning construction, and they also collaborate with each other for a uniform purpose. By comparing existing memes defined in academia and multiple methodologies to analyse memes, the paper puts forth a framework to analyse memes. 2023 De Gruyter Mouton. All rights reserved.
Multimodal Communication, Vol-12, No. 3, pp. 223-243.
Koickakudy M.J., CHRIST (Deemed to be University), Hosur Main Road, Bhavani Nagar, S.G. Palya, Karnataka, Bangalore, 560029, India; Karakunnel M.T., CHRIST (Deemed to be University), Hosur Main Road, Bhavani Nagar, S.G. Palya, Karnataka, Bangalore, 560029, India
Analysis of the Thomson and Troian velocity slip for the flow of ternary nanofluid past a stretching sheet
In this article, the flow of ternary nanofluid is analysed past a stretching sheet subjected to Thomson and Troian slip condition along with the temperature jump. The ternary nanofluid is formed by suspending three different types of nanoparticles namely TiO 2, Cu and Ag into water which acts as a base fluid and leads to the motion of nanoparticles. The high thermal conductivity and chemical stability of silver was the main cause for its suspension as the third nanoparticle into the hybrid nanofluid Cu-TiO 2/ H 2O. Thus, forming the ternary nanofluid Ag-Cu-TiO 2/ H 2O. The sheet is assumed to be vertically stretching where the gravitational force will have its impact in the form of free convection. Furthermore, the presence of radiation and heat source/sink is assumed so that the energy equation thus formed will be similar to most of the real life applications. The assumption mentioned here leads to the mathematical model framed using partial differential equations (PDE) which are further transformed to ordinary differential equations (ODE) using suitable similarity transformations. Thus, obtained system of equations is solved by incorporating the RKF-45 numerical technique. The results indicated that the increase in the suspension of silver nanoparticles enhanced the temperature and due to density, the velocity of the flow is reduced. The slip in the velocity decreased the flow speed while the temperature of the nanofluid was observed to be increasing. 2023, The Author(s).
Li S.; Puneeth V.; Saeed A.M.; Singhal A.; Al-Yarimi F.A.M.; Khan M.I.; Eldin S.M.
Li S., School of Computer Science and Technology, Shandong Technology and Business University, Yantai, 264005, China; Puneeth V., Department of Computational Sciences, CHRIST University, Bangalore, India; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia; Singhal A., Department of Computational Sciences, CHRIST University, Bangalore, India; Al-Yarimi F.A.M., Department of Computer Science, King Khalid University, Muhayel Aseer, Saudi Arabia; Khan M.I., Department of Mechanical Engineering, Lebanese American University, Beirut, Lebanon, Department of Mathematics and Statistics, Riphah International University I-14, Islamabad, 44000, Pakistan; Eldin S.M., Center of Research, Faculty of Engineering, Future University in Egypt, New Cairo, 11835, Egypt
Biosynthesis of ZnFe2O4@Ag hybrid nanocomposites for degradation of 2,4-Dichlorophenoxyacetic acid herbicide
2,4-dichlorophenoxyacetic acid; Degradation; Mineralization; Pedalium murex L; Photocatalysis; ZnFe2O4@Ag
This work demonstrates recent advancements in the phytosynthetic and environmentally friendly method of preparing ZnFe2O4 and ZnFe2O4@Ag hybrid nanocomposites using Pedalium murex L leaf extract as a stabilizing and reducing agent. The synthesized nanocomposite was characterized with UVvis, FTIR, TGA/DSC, XRD, FE-SEM, and EDX to investigate the electronic as well as morphological properties. Moreover, the photocatalytic behaviour of ZnFe2O4 and ZnFe2O4@Ag hybrid nanocomposites was evaluated with a breakdown of 2,4-dichlorophenoxyacetic acid (2,4-DPA) by exposing to UVVis light. The results obtained suggest that ZnFe2O4@Ag hybrid nanocomposite exhibited photocatalytic activity for the degradation of 2,4-DPA by approximately 94% in 60 min compared to ZnFe2O4. The hybrid nanostructure of ZnFe2O4@Ag significantly promoted charge transfer and prevented electron and hole recombination resulting in the enhancement of photocatalytic activity. Furthermore, ZnFe2O4@Ag nanocomposite showed the fair recyclable capacity for up to five catalytic cycles with an acceptable degradation percentage of 2,4-DPA. The findings of this study identify efficient charge transfer factor as a major contributor to the catalytic activity, with promising possibilities for the design of environmental remediation nanocomposite for harmful contaminants. 2023 The Author(s)
Punyasamudram S.; Puthalapattu R.P.; Bathinapatla A.; Kanchi S.; Jyothi S.; Kumar P.V.N.
https://doi.org/10.1016/j.chphi.2023.100282 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167834401&doi=10.1016%2fj.chphi.2023.100282&partnerID=40&md5=edff48af224684dcac285787956b197e
Punyasamudram S., Department of Chemistry, GITAM University, Telangana, Hyderabad, 502329, India, Department of Chemistry, Sri Padmavathi Mahila Visvavidyalayam, Andhra Pradesh, Tirupati, 517502, India; Puthalapattu R.P., Department of Chemistry, Institute of Aeronautical Engineering, Dundigal, Telangana, Hyderabad, 500043, India; Bathinapatla A., Department of Chemistry, CMR Institute of Technology, Bengaluru, 560037, India, Centre of Excellence- Sensors & Nanoelectronics, CMR Institute of Technology, Bengaluru, 560037, India; Kanchi S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Jyothi S., Department of Chemistry, Yogi Vemana University, Andhra Pradesh, Kadapa, 516005, India; Kumar P.V.N., Department of Chemistry, GITAM University, Telangana, Hyderabad, 502329, India
Design and performance analysis of braking system in an electric vehicle using adaptive neural networks
Adaptive; Control system; Electric vehicle; Electronic control unit; Fuzzy systems; Neural networks; Regenerative braking
Research article emphasizes on the impact of braking concepts considering regenerative braking system and energy consumption aspects in electric vehicles through a new perspective. The electric vehicle system is modeled and simulated using the MATLAB/Simulink software. A dataset is developed using the virtual simulation environment created by co-simulation using the MATLAB/Simulink and the IPG Carmaker software. This dataset is also used in a neural network model based on adaptive neuro fuzzy logic and the system performance is analyzed. Parameters considered for training the neural network are the brake pedal displacement, braking change rate and the need for brake application. The highlight of this study is the focus on a front wheel driven electric vehicle, which uses a standard drive cycle input to validate the model. The significant parameters evaluated in this study include the braking effects, kinetic energy, regenerative braking torque, battery state of the charge and the motor torque. The torque generation and its intended braking force requirements based on the acceleration, deceleration and braking conditions are the notable observations. The regenerative capability of this proposed system design is also illustrated along with the surface plots based on the training dataset. Investigation and analysis reveal that, the battery state of charge could be revived throughout the drive with a steady and stable increase. Transitions of motor torques between tractive and regenerative phases are also illustrated and explained for clarity and brevity. 2023 Elsevier Ltd
Sustainable Energy, Grids and Networks, Vol-36
https://doi.org/10.1016/j.segan.2023.101215 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179629023&doi=10.1016%2fj.segan.2023.101215&partnerID=40&md5=502346e8c200b875b64970a27b34ae5d
Indu K., ECE, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Aswatha Kumar M., ECE, CHRIST (Deemed to be University), Bengaluru, Karnataka, India
Growth of mobile applications and the rise of privacy issues
aggregators; Amazon; application; confidentiality in mobile applications; GDPR; privacy of data; websites
Mobile apps are used by more and more internet users for daily chores, but processing personal data with them poses a major security risk. The wide range of data and sensors in mobile devices, the use of different types of identifiers and the increased ability to monitor consumers, the complex mobile application ecosystem and application developer limitations, and the extensive use of third-party technologies and services, are the main risks. Privacy concerns extend beyond mobile users. Corporate executives need fast, global access to their database. White goods/smart building equipment suppliers offer mobile apps for remote use. This research study will integrate these concerns. Due to these factors, smartphone applications have struggled to enforce the General Data Protection Regulations (GDPR) data protection rules. Mobile app designers and service providers may struggle to meet GDPR rules for data disclosure and permission, data protection by design and default, and operational secrecy. Copyright 2024 Inderscience Enterprises Ltd.
International Journal of Electronic Finance, Vol-13, No. 1, pp. 20-35.
https://doi.org/10.1504/IJEF.2024.135162 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179436183&doi=10.1504%2fIJEF.2024.135162&partnerID=40&md5=76820239512e512b4ed4e586018ace29
Goel A., CHRIST (Deemed to be University), Lavasa Campus, Pune, 412112, India; Sahil G., CHRIST (Deemed to be University), Lavasa Campus, Pune, 412112, India
Ensemble Deep Learning Approach for Turbidity Prediction of Dooskal Lake Using Remote Sensing Data
Deep learning models; Ensemble learning; Remote sensing data; Turbidity; Water resources
The summer season in India is marked by a severe shortage of water, which poses significant challenges for daily usage and agricultural practices. With unpredictable weather patterns and irregular rainfall, it is crucial to monitor and maintain water bodies such as domestic ponds and lakes in urban areas to ensure they provide clean and safe water for regular use, free from industrial pollutants. In this research paper, we propose an innovative ensemble deep learning approach (e-DLA) that leverages deep learning models to predict the turbidity of Dooskal Lake, located in Telangana, India, using remote sensing data. The proposed approach utilizes various deep learning models, including bagging, boosting, and stacking, to analyze the complex relationships between remote sensing data and turbidity levels in the lake. The study aims to provide accurate and efficient predictions of turbidity levels, which can aid in the management and conservation of water resources in the region. Hyperparameter tuning is employed, and dynamic climatic features are extracted and integrated with the ensemble learning global protective intelligent algorithm to reveal the complex relationship between in situ and measured values of turbidity during the measuring timeline. The proposed approach provides accurate predictions of turbidity levels, enabling the implementation of effective control measures to maintain water quality standards. Experimental results demonstrate that the proposed approach significantly reduces prediction errors compared to existing deep learning models. Overall, this research highlights the potential of machine learning techniques in monitoring and maintaining water resources, particularly in urban areas, to support sustainable water management and usage, and addresses an urgent and pressing issue in India and around the world. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Ramesh J.V.N.; Patibandla P.R.; Shanbhog M.; Ambala S.; Ashraf M.; Kiran A.
Remote Sensing in Earth Systems Sciences, Vol-6, No. 45750, pp. 146-155.
Ramesh J.V.N., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur Dist, Andhra Pradesh, Vaddeswaram, 522502, India; Patibandla P.R., Department of Electronics & Communication Engineering, Dhanekula Institute of Engineering & Technology, Ganguru, Vijayawada, 521139, India; Shanbhog M., School of Sciences, CHRIST (Deemed to be University), Ghaziabad, Delhi NCR, 201003, India; Ambala S., Computer Engineering Department, Pimpri Chinchwad College of Engineering, Maharastra, Pune, India; Ashraf M., Computer Science & Engineering, School of Technology, Maulana Azad National Urdu University, TS, Hyderabad, India; Kiran A., Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Telangana, Hyderabad, 500043, India
Durability and elevated temperature behaviour of geopolymer concrete developed with ground granulated blast furnace slag and sugarcane bagasse ash
Elevated temperatures; Rapid chloride permeability; Sorptivity; Sulphate attack
In the current experimental study, the durability studies such as rapid chloride permeability, sorptivity and early and long-term effect of sulphate attack were conducted on GGBS-SCBA based geopolymer concrete. Also elevated temperature behaviour of geopolymer concrete specimen subjected to temperatures of 200?, 400?, 600? and 800? were studied to evaluate the strength, mass loss and effect on microstructures due to elevated temperature. The degradation of geopolymer concrete at elevated temperatures was observed by scanning electron microscope, energy dispersive X-ray analysis, X-ray diffraction analysis and Fourier transform infrared spectroscopy analysis. From the test findings it is observed that the geopolymer concrete developed have good durability characteristics. It is also observed that geopolymer concrete retains more than 50% of strength up to a temperature of 600?. From scanning electron microscope analysis of geopolymer concrete developed with GGBS and SCBA, it is found that there are larger crack formations and pores which are visible in the geopolymer concrete matrix when the specimens are exposed to an elevated temperature of 800? which confirms the degradation of CASH gel in the geopolymer concrete mixes developed. 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
Journal of Building Pathology and Rehabilitation, Vol-8, No. 2
H.M T., Department of Civil Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India, Department of Civil Engineering, Ballari Institute of Technology & Management, Karnataka, Ballari, India; Unnikrishnan S., Department of Civil Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, India
Distributed Feedback Laser (DFB) for Signal Power Amplitude Level Improvement in Long Spectral Band
DFB; hyperbolic secant pulse generator; optical filter; spectral band
This study outlines the distributed feedback laser for signal power amplitude level improvement in the long spectral band of 1550 nm wavelength within supporting pumped wavelength of 1480 nm. The bias and modulation peak currents based distributed feedback laser are varied in order to test the signal power level, peak signal amplitude variations after the fiber-optic channel and light detectors. The signal power level, peak signal amplitude is measured against spectral wavelength and time bit period variations. The study emphasis the signal power level, peak signal amplitude are enhanced for the best selection values of both a bias current at 45 mA and modulation peak current at 0.5 mA. 2023 Walter de Gruyter GmbH. All rights reserved.
Samanta D.; Sivaram M.; Rashed A.N.Z.; Boopathi C.S.; Amiri I.S.; Yupapin P.
Journal of Optical Communications, Vol-44, No. s1, pp. S125-S130.
https://doi.org/10.1515/joc-2019-0252 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083155020&doi=10.1515%2fjoc-2019-0252&partnerID=40&md5=d19559547e9e7e7865c10c1c8a286555
Samanta D., Department of CSE, Christ (Deemed to be University), Bangalore, Bangalore, India; Sivaram M., Department of Computer Networking, Lebanese French University, Kurdistan Region, Erbil, Iraq; Rashed A.N.Z., Electronics and Electrical Communications Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf, 32951, Egypt; Boopathi C.S., Department of EEE, SRM Institute of Science and Technology, Chennai, India; Amiri I.S., Computational Optics Research Group, Advanced Institute of Materials Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam, Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Yupapin P., Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam
DMD Based Multi-Object Spectrograph for INdian Spectroscopic and Imaging Space Telescope: INSIST
Digital micromirror device; INSIST; multi-object spectrograph; UV space telescope
INdian Spectroscopic and Imaging Space Telescope (INSIST) is the next-generation UV-Optical space mission proposed by the Indian Astronomical community motivated by the great success of India's first multi-wavelength Astronomical satellite (ASTROSAT) where Ultra Violet Imaging Telescope (UVIT) was one of the main payload launched in 2015 by Indian Space Research Organisation. INSIST is primarily designed for photometry observation in three bands (g-[400nm-550nm], u-[300nm-400nm] and UV-[150nm-300nm]) simultaneously over 0.25 sq.degree field of view. INSIST is equipped with a low resolution [R?500] spectrograph for multi-Object slitless spectroscopy over the imaging field of view and also has a medium resolution [R?2000] spectrograph for multi-object slit spectroscopy in UV-band over ?6 sq.arcmin sky. MEMS-based Digital Micromirror Device [DMD] is used to form configurable slits for the selection of objects at the focal plane of the telescope for multi-object slit spectrograph. Multi-Object spectrograph with DMD as a re-configurable slit for INSIST is designed and the performance of the spectrograph is presented. 2023 World Scientific Publishing Company.
Sriram S.; Valsan V.; Hoodati A.; Subramaniam A.; Maheswar G.
Journal of Astronomical Instrumentation, Vol-12, No. 4
Sriram S., Department of Physics and Electronics, Christ Deemed to Be University, Bengaluru, 560029, India, Indian Institute of Astrophysics, Bengaluru, 560034, India; Valsan V., Department of Physics and Electronics, Christ Deemed to Be University, Bengaluru, 560029, India; Hoodati A., Indian Institute of Astrophysics, Bengaluru, 560034, India; Subramaniam A., Indian Institute of Astrophysics, Bengaluru, 560034, India; Maheswar G., Indian Institute of Astrophysics, Bengaluru, 560034, India
Extreme photometric and polarimetric variability of blazar S4 0954+65 at its maximum optical and ?-ray brightness levels
BL Lacertae objects: general; BL Lacertae objects: individual: S4 0954+65; galaxies: active; galaxies: jets
In 2022 the BL Lac object S4 0954+65 underwent a major variability phase, reaching its historical maximum brightness in the optical and ?-ray bands. We present optical photometric and polarimetric data acquired by the Whole Earth Blazar Telescope (WEBT) Collaboration from 2022 April 6 to July 6. Many episodes of unprecedented fast variability were detected, implying an upper limit to the size of the emitting region as low as parsec. The WEBT data show rapid variability in both the degree and angle of polarization. We analyse different models to explain the polarization behaviour in the framework of a twisting jet model, which assumes that the long-term trend of the flux is produced by variations in the emitting region viewing angle. All the models can reproduce the average trend of the polarization degree, and can account for its general anticorrelation with the flux, but the dispersion of the data requires the presence of intrinsic mechanisms, such as turbulence, shocks, or magnetic reconnection. The WEBT optical data are compared to ?-ray data from the Fermi satellite. These are analysed with both fixed and adaptive binning procedures. We show that the strong correlation between optical and ?-ray data without measurable delay assumes different slopes in faint and high brightness states, and this is compatible with a scenario where in faint states we mainly see the imprint of the geometrical effects, while in bright states the synchrotron self-Compton process dominates. 2023 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.
Raiteri C.M.; Villata M.; Carnerero M.I.; Savchenko S.S.; Kurtanidze S.O.; Vlasyuk V.V.; Marchini A.; Matsumoto K.; Lorey C.; Joner M.D.; Gazeas K.; Carosati D.; Mirzaqulov D.O.; Acosta Pulido J.A.; Agudo I.; Bachev R.; Benez E.; Borman G.A.; Calcidese P.; Chen W.P.; Damljanovic G.; Ehgamberdiev S.A.; Elsser D.; Feige M.; Frasca A.; Gaur H.; Grishina T.S.; Gupta A.C.; Hiriart D.; Holland M.; Horst B.; Ibryamov S.; Ivanidze R.Z.; Jensen J.; Jithesh V.; Jovanovic M.D.; Kiehlmann S.; Kimeridze G.N.; Kishore S.; Kopatskaya E.N.; Kurtanidze O.M.; Larionova E.G.; Lin H.C.; Mannheim K.; Marinelli C.; Moreira Reyes J.; Morozova D.A.; Nikolashvili M.G.; Reinhart D.; Romanov F.D.; Semkov E.; Seufert J.; Shishkina E.V.; Sigua L.A.; Skalidis R.; Spiridonova O.I.; Stojanovic M.; Strigachev A.; Troitskaya Y.V.; Troitskiy I.S.; Tsai A.; Vasilyev A.A.; Vince O.; Vrontaki K.; Wani K.; Watts D.; Zhovtan A.V.
Monthly Notices of the Royal Astronomical Society, Vol-526, No. 3, pp. 4502-4513.
All Open Access; Green Open Access; Hybrid Gold Open Access
https://doi.org/10.1093/mnras/stad3064 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175616458&doi=10.1093%2fmnras%2fstad3064&partnerID=40&md5=ff3a5f13eeb265cc3a2cf7e87ce41868
Raiteri C.M., Inaf, Osservatorio Astrofisico di Torino, via Osservatorio 20, Pino Torinese, I-10025, Italy; Villata M., Inaf, Osservatorio Astrofisico di Torino, via Osservatorio 20, Pino Torinese, I-10025, Italy; Carnerero M.I., Inaf, Osservatorio Astrofisico di Torino, via Osservatorio 20, Pino Torinese, I-10025, Italy; Savchenko S.S., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation, Special Astrophysical Observatory of Russian Academy of Sciences, Nyzhnij Arkhyz,Circassia,Karachai, 369167, Russian Federation, Pulkovo Observatory, St. Petersburg, 196140, Russian Federation; Kurtanidze S.O., Abastumani Observatory, Mt. Kanobili, Abastumani, 0301, Georgia; Vlasyuk V.V., Special Astrophysical Observatory of Russian Academy of Sciences, Nyzhnij Arkhyz,Circassia,Karachai, 369167, Russian Federation; Marchini A., Astronomical Observatory, University of Siena, Siena, I-53100, Italy; Matsumoto K., Astronomical Institute, Osaka Kyoiku University, Osaka, 582-8582, Japan; Lorey C., Hans-Haffner-Sternwarte (Hettstadt), Naturwissenschaftliches Labor f Scher, Friedrich-Koenig-Gymnasium, Wzburg, D-97082, Germany; Joner M.D., Department of Physics and Astronomy, N283 Esc, Brigham Young University, Provo, 84602, UT, United States; Gazeas K., Section of Astrophysics, Astronomy and Mechanics, Department of Physics, National and Kapodistrian University of Athens, Zografos, Athens, GR-15784, Greece; Carosati D., Ept Observatories, Tijarafe, La Palma, E-38780, Spain, Inaf, Tng Fundaci Galileo Galilei, La Palma, E-38712, Spain; Mirzaqulov D.O., Ulugh Beg Astronomical Institute, Astronomy Street 33, Tashkent, 100052, Uzbekistan; Acosta Pulido J.A., Instituto de Astrofica de Canarias (IAC), Tenerife, La Laguna, E-38200, Spain, Departamento de Astrofica, Universidad de la Laguna (ULL), Tenerife, La Laguna, E-38206, Spain; Agudo I., Instituto de Astrofica de Andaluc (CSIC), Apartado 3004, Granada, E-18080, Spain; Bachev R., Institute of Astronomy and National Astronomical Observatory, Bulgarian Academy of Sciences, 72 Tsarigradsko shosse Blvd., Sofia, 1784, Bulgaria; Benez E., Instituto de Astronom, Universidad Nacional Automa de Mico, AP 70-264, CDMX, 04510, Mexico; Borman G.A., Crimean Astrophysical Observatory Ras, P/O, 298409, Russian Federation; Calcidese P., Osservatorio Astronomico della Regione Autonoma Valle d'Aosta, Nus, I-11020, Italy; Chen W.P., Institute of Astronomy, National Central University, Taoyuan, 32001, Taiwan; Damljanovic G., Astronomical Observatory, Volgina 7, Belgrade, 11060, Serbia; Ehgamberdiev S.A., Ulugh Beg Astronomical Institute, Astronomy Street 33, Tashkent, 100052, Uzbekistan, National University of Uzbekistan, Tashkent, 100174, Uzbekistan; Elsser D., Hans-Haffner-Sternwarte (Hettstadt), Naturwissenschaftliches Labor f Scher, Friedrich-Koenig-Gymnasium, Wzburg, D-97082, Germany, Technische Universit Dortmund, Dortmund, D-44221, Germany; Feige M., Hans-Haffner-Sternwarte (Hettstadt), Naturwissenschaftliches Labor f Scher, Friedrich-Koenig-Gymnasium, Wzburg, D-97082, Germany; Frasca A., Inaf, Osservatorio Astrofisico di Catania, Via S. Sofia 78, Catania, I-95123, Italy; Gaur H., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India; Grishina T.S., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation; Gupta A.C., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India; Hiriart D., Instituto de Astronom, Universidad Nacional Automa de Mico, AP 106, Baja California, Ensenada, 22800, Mexico; Holland M., Department of Physics and Astronomy, N283 Esc, Brigham Young University, Provo, 84602, UT, United States; Horst B., Hans-Haffner-Sternwarte (Hettstadt), Naturwissenschaftliches Labor f Scher, Friedrich-Koenig-Gymnasium, Wzburg, D-97082, Germany; Ibryamov S., Department of Physics and Astronomy, Faculty of Natural Sciences, University of Shumen, 115, Universitetska Str., Shumen, 9712, Bulgaria; Ivanidze R.Z., Abastumani Observatory, Mt. Kanobili, Abastumani, 0301, Georgia; Jensen J., Department of Physics and Astronomy, N283 Esc, Brigham Young University, Provo, 84602, UT, United States; Jithesh V., Department of Physics and Electronics, Christ (Deemed to Be University), Hosur Main Road, Bengaluru, 560029, India; Jovanovic M.D., Astronomical Observatory, Volgina 7, Belgrade, 11060, Serbia; Kiehlmann S., Institute of Astrophysics, Foundation for Research and Technology - Hellas, Vasilika Vouton, Heraklion, GR-70013, Greece, Department of Physics, University of Crete, Voutes University Campus, Heraklion, GR-70013, Greece; Kimeridze G.N., Abastumani Observatory, Mt. Kanobili, Abastumani, 0301, Georgia; Kishore S., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India; Kopatskaya E.N., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation; Kurtanidze O.M., Abastumani Observatory, Mt. Kanobili, Abastumani, 0301, Georgia, Engelhardt Astronomical Observatory, Kazan Federal University, Tatarstan, Russian Federation; Larionova E.G., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation; Lin H.C., Institute of Astronomy, National Central University, Taoyuan, 32001, Taiwan; Mannheim K., Hans-Haffner-Sternwarte (Hettstadt), Naturwissenschaftliches Labor f Scher, Friedrich-Koenig-Gymnasium, Wzburg, D-97082, Germany, Universit Wzburg, Wzburg, D-97074, Germany; Marinelli C., Dip. di Scienze Fisiche, della Terra e Dell'Ambiente, Universitdi Siena, via Roma 56, Siena, I-53100, Italy; Moreira Reyes J., Department of Physics, Astronomy and Geophysics, Connecticut College, New London, 06320, CT, United States; Morozova D.A., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation; Nikolashvili M.G., Abastumani Observatory, Mt. Kanobili, Abastumani, 0301, Georgia; Reinhart D., Hans-Haffner-Sternwarte (Hettstadt), Naturwissenschaftliches Labor f Scher, Friedrich-Koenig-Gymnasium, Wzburg, D-97082, Germany, Universit Wzburg, Wzburg, D-97074, Germany; Romanov F.D., Aavso Observer, Russian Federation, Remote Observer of Burke-Gaffney Observatory, Canada; Semkov E., Institute of Astronomy and National Astronomical Observatory, Bulgarian Academy of Sciences, 72 Tsarigradsko shosse Blvd., Sofia, 1784, Bulgaria; Seufert J., Hans-Haffner-Sternwarte (Hettstadt), Naturwissenschaftliches Labor f Scher, Friedrich-Koenig-Gymnasium, Wzburg, D-97082, Germany; Shishkina E.V., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation; Sigua L.A., Abastumani Observatory, Mt. Kanobili, Abastumani, 0301, Georgia; Skalidis R., Owens Valley Radio Observatory, California Institute of Technology, MC 249-17, Pasadena, 91125, CA, United States; Spiridonova O.I., Special Astrophysical Observatory of Russian Academy of Sciences, Nyzhnij Arkhyz,Circassia,Karachai, 369167, Russian Federation; Stojanovic M., Astronomical Observatory, Volgina 7, Belgrade, 11060, Serbia; Strigachev A., Institute of Astronomy and National Astronomical Observatory, Bulgarian Academy of Sciences, 72 Tsarigradsko shosse Blvd., Sofia, 1784, Bulgaria; Troitskaya Y.V., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation; Troitskiy I.S., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation; Tsai A., Institute of Astronomy, National Central University, Taoyuan, 32001, Taiwan; Vasilyev A.A., Saint Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg, 199034, Russian Federation; Vince O., Astronomical Observatory, Volgina 7, Belgrade, 11060, Serbia; Vrontaki K., Section of Astrophysics, Astronomy and Mechanics, Department of Physics, National and Kapodistrian University of Athens, Zografos, Athens, GR-15784, Greece; Wani K., Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, 263001, India; Watts D., Department of Physics and Astronomy, N283 Esc, Brigham Young University, Provo, 84602, UT, United States; Zhovtan A.V., Crimean Astrophysical Observatory Ras, P/O, 298409, Russian Federation