IIRM: Intelligent Information Retrieval Model for Structured Documents by One-Shot Training Using Computer Vision
subject: Best match region; Digital image processing; Information extraction; One-shot training; Structured document; Template matching; Title insurance
description: Various information retrieval algorithms have matured in recent years to facilitate data extraction from structured (with a predefined template) digital document images, primarily to manage and automate different organizations invoice and bill reimbursement processes. The algorithms are designated either rule-based or machine-learning-based. Both approaches have respective advantages and disadvantages. The rule-based algorithms struggle to generalize and need periodic adjustments, whereas machine learning-based supervised approaches need extensive data for training and substantial time and effort for manual annotation. The proposed system attempts to address both problems by providing a one-shot training approach using image processing, template matching, and optical character recognition. The model is extensible for any structured documents such as closing disclosure, bill, tax receipt, besides invoices. The model is validated against six different structured document types obtained from a reputed title insurance (TI) company. The comprehensive analysis of the experimental results confirms entity-wise extraction accuracy between 73.91 and 100% and straight through pass 81.81%, which is within business acceptable precision for a live environment. Out of total 32 tested entities, 17 outperformed all state-of-the-art techniques, where max accuracy has been 93 % with only invoices or sales receipts. The system has been set operational to assist the robotic process automation of the TI mentioned above based on the experimental results. 2022, King Fahd University of Petroleum & Minerals.
creator: Guha A.; Samanta D.; Islam S.H.
source: Arabian Journal for Science and Engineering, Vol-48, No. 2, pp. 1285-1301.
publisher: Institute for Ionics
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2193567X
format: Online
language: English
type: Article
coverage: Guha A., Department of Computer Science, Christ (Deemed to be) University, Karnataka, Bangalore, 560029, India, First American India Private Limited, Karnataka, Bangalore, 560038, India; Samanta D., Department of Computer Science, Christ (Deemed to be) University, Karnataka, Bangalore, 560029, India; Islam S.H., Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani, West Bengal, Kalyani, 741235, India

Perceived stress and fatigue in software developers: Examining the benefits of gratitude
subject: Age; Fatigue; Gender; Gratitude; Perceived stress; Positive psychology
description: Software development demands creativity and adept problem-solving skills. However, long-term stress and fatigue might impede these skills in software developers. From the perspective of positive psychology, this cross-sectional study investigated the effects of gratitude, age, and gender on stress and fatigue in 421 participants, 244 males (58 %) and 177 females (42 %), aged between 21 and 57 years (M = 36.20; SD = 7.56). The tools employed included the multi-component gratitude measure, perceived stress scale and fatigue assessment scale. Multiple linear regressions confirmed the beneficial effects of gratitude, and they indicated higher levels of perceived stress and fatigue in women and younger professionals. These findings have positive implications for organisational psychologists, as they signify the favourable impacts of gratitude in mitigating stress and fatigue in software developers. The authors recommend that organisational practitioners should focus on enhancing the professionals' well-being by strategizing and implementing gratitude training programmes. 2022 Elsevier Ltd
creator: Kurian R.M.; Thomas S.
source: Personality and Individual Differences, Vol-201
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 1918869; CODEN: PEIDD
format: Online
language: English
type: Article
coverage: Kurian R.M., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India; Thomas S., Department of Psychology, CHRIST (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Karnataka, Bengaluru, 560029, India

Does Sentiments Impact the Returns of Commodity Derivatives? An Evidence from Multi-commodity Exchange India
subject: Behavioural Finance; Futures Commodity Contracts; Lexicon-based Approach; Natural Language Processing; Sentiment Analysis
description: The advancements in technology, increased accessibility to various modes and platforms of communication, and increased willingness on the part of participants to share their ideas/opinions has resulted in huge amounts of data on the World Wide Web, hence, easily available to impact decision-making. Furthermore, commodity prices are primarily driven by demand and supply, wherein such news is open to the cognitive thinking of individuals. Thus, using the principles of natural language processing, which combines concepts of linguistics, computer science and artificial intelligence, helps in improving the accuracy of price determination. Therefore, this article aims to examine the relationship between sentiments conveyed through various sources and the performance of Indias largest commodity market, multi-commodity exchange (MCX). The correlation and causation between sentiment scores extracted from such textual content and the daily returns of select commodity derivatives are analysed. The results show varying levels of significance of sentiments on the returns of commodity contracts and imply that there is an increased scope of using such unstructured content in the field of finance. 2021 MDI.
creator: Simon A.E.; Manu K.S
source: Vision, Vol-27, No. 1, pp. 79-92.
publisher: Sage Publications India Pvt. Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9722629
format: Online
language: English
type: Article
coverage: Simon A.E., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Manu K.S, School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India

Investigation of electrical properties of developed indigenous natural ester liquid used as alternate to transformer insulation
subject: Antioxidants; Breakdown voltage; Flash point; Indigenous oil; Load test; Transformer oil; Viscosity
description: The performance of every electrical system depends on the different electrical devices especially transformers. Petroleum-based mineral oil is widely used for insulation and cooling purpose. The disadvantage of mineral oil is its low biodegradability and is a major threat to the ecosystem due to its poor oxidative stability. To remedy the drawbacks, focus on alternative fluids that can replace traditional mineral oil. Alternative liquids such as natural esters are used which do not panic the ecosystem. With the support of additives in natural esters liquids, the productivity of the oil can be increased, paving the path for the green conversion of liquids in high voltage applications. The purpose of this article is to analyze the electrical properties of the newly developed indigenous oil. The inhibited oil was insulating oil to which antioxidants were added such as 2,6-ditertiary-butylparacresol, butylated hydroxyl anisole and tertiary butyl hydro qunine to slow down the oxidation rate and to check the electrical properties. This article discusses the electrical properties of mineral oil, developed indigenous oil with and without antioxidants as per IEC62770 standards. A 1.1 kVA transformer was then designed in a laboratory for load tests and Indigenous oil performance under load was evaluated. 2023 Institute of Advanced Engineering and Science. All rights reserved.
creator: Srinivasa D.M.; Surendra U.
source: Indonesian Journal of Electrical Engineering and Computer Science, Vol-29, No. 2, pp. 609-617.
publisher: Institute of Advanced Engineering and Science
date: 2023-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 25024752
format: Online
language: English
type: Article
coverage: Srinivasa D.M., Department of Electrical and Electronics, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Surendra U., Department of Electrical and Electronics, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India

COMPUTATION OF b-CHROMATIC TOPOLOGICAL INDICES OF SOME GRAPHS AND ITS DERIVED GRAPHS
subject: b-Chromatic irregularity index; b-Chromatic total irregularity index; b-Chromatic Zagreb indices; b-coloring
description: The two fastest-growing subfields of graph theory are graph coloring and topological indices. Graph coloring is assigning the colors/values to the edges/vertices or both. A proper coloring of the graph G is assigning colors/values to the vertices/edges or both so that no two adjacent vertices/edges share the same color/value. Recently, studies involving Chromatic Topological indices that dealt with different graph coloring were studied. In such studies, the vertex degrees get replaced with the colors, and the computation is carried out based on the topological index of our choice. We focus on b-Chromatic Zagreb indices and b-Chromatic irregularity indices in this work. This paper discusses the b-Chromatic Zagreb indices and b-Chromatic irregularity indices of the gear graph, star graph, and its derived graphs such as the line and middle graph. 2023, RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES. All rights reserved.
creator: Glory C.; Nanjappa M.
source: South East Asian Journal of Mathematics and Mathematical Sciences, Vol-19, No. 2, pp. 241-260.
publisher: RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES
date: 2023-01-01
rights: All Open Access; Bronze Open Access
relation: ISSN: 9727752
format: Online
language: English
type: Article
coverage: Glory C., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Nanjappa M., School of Engineering and Technology, CHRIST(Deemed to be University), Karnataka, Bangalore, 560074, India

Study of Influence of Combustion on DarcyBard Convection with Inherent Local Thermal Non-equilibrium Between Phases
subject: Chebyshev spectral method; Chemical reaction; Combustion; Energy method; FrankKamenetskii number
description: This work deals with a DarcyBard convection problem in the presence of combustion and with local thermal non-equilibrium between the fluid and the solid phases. The effects of combustion and local thermal non-equilibrium on the onset of convection is studied in the linear and nonlinear regimes. Unlike all reported local thermal non-equilibrium problems reported so far, the present problem has a unique situation of having thermal non-equilibrium not only in the perturbed state but also in the basic state. Further, we observe that local thermal non-equilibrium does not, under any circumstance, lead to local thermal equilibrium except in an approximate sense when the combustion is quite weak. The effect of combustion is to advance the onset of convection compared to that in its absence. The effect of local thermal non-equilibrium is to reinforce the effect of combustion. In the presence of both these effects, sub-critical instability exists. The results are obtained numerically and have implication in practical porous medium convection problems. 2022, The Author(s), under exclusive licence to Springer Nature B.V.
creator: Nandal R.; Siddheshwar P.G.; Neela D.
source: Transport in Porous Media, Vol-146, No. 3, pp. 741-769.
publisher: Springer Science and Business Media B.V.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 1693913; CODEN: TPMEE
format: Online
language: English
type: Article
coverage: Nandal R., Department of Mathematics, Centre for Mathematical Needs, Christ (Deemed to be University), Bengaluru, 560029, India; Siddheshwar P.G., Department of Mathematics, Centre for Mathematical Needs, Christ (Deemed to be University), Bengaluru, 560029, India; Neela D., Department of Mathematics, NIT Warangal, Telangana, Hanamkonda, 506004, India

Barriers to corporate social responsibility implementation in the medium size manufacturing sector: an interpretive structure modelling approach
subject: Barriers; Corporate social responsibility; CSR Barriers; Interpretive structural modelling; Manufacturing enterprises; Manufacturing industries; Medium-sized enterprises
description: Purpose: Corporate social responsibility (CSR) practices are gaining momentum globally but their implementation becomes problematic due to the presence of barriers. So, this study aims to identify the barriers to CSR implementation among manufacturing enterprises, develop their classification and establish relationships among the barriers. Design/methodology/approach: An exhaustive list of barriers was identified from the literature, and following surveys and expert opinions, 19 critical barriers were extracted. Interpretive structure modelling was used to understand the hierarchal and contextual relationships among barriers of CSR implementation. Findings: The results show that are no autonomous variables present in the study. The proposed conceptual framework presents the hierarchy and interlinkage of barriers to CSR implementation in manufacturing enterprises. The results also indicate that rigidity in culture and corruption in the system and within the governance system of the country are the two most influential barriers that impede CSR implementation in manufacturing enterprises. Originality/value: The interactions among CSR barriers provide policymakers, industrial practitioners and managers with a framework to recognise and evaluate mutual relationships and interlinking among barriers. CSR training and undertaking CSR in collaboration can help medium enterprises overcome these barriers and prepare strategies to mitigate their impact. 2021, Emerald Publishing Limited.
creator: Dawar G.; Singh S.
source: Journal of Entrepreneurship in Emerging Economies, Vol-15, No. 2, pp. 447-479.
publisher: Emerald Publishing
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 20534604
format: Online
language: English
type: Article
coverage: Dawar G., Department of Humanities, Delhi Technological University, Delhi, India, Christ University, Delhi NCR Campus, Uttar Pradesh, Ghaziabad, India; Singh S., Department of Humanities, Delhi Technological University, Delhi, India

A Novel Deep Learning Approach for Identifying Interstitial Lung Diseases from HRCT Images
subject: Binary classification; Deep learning; HRCT; ILD; Multi-label classification
description: Interstitial lung diseases (ILDs) are defined as a group of lung diseases that affect the interstitium and cause death among humans worldwide. It is more serious in underdeveloped countries as it is hard to diagnose due to the absence of specialists. Detecting and classifying ILD is a challenging task and many research activities are still ongoing. High-resolution computed tomography (HRCT) images have essentially been utilized in the diagnosis of this disease. Examining HRCT images is a difficult task, even for an experienced doctor. Information Technology, especially Artificial Intelligence, has started contributing to the accurate diagnosis of ILD from HRCT images. Similar patterns of different categories of ILD confuse doctors in making quick decisions. Recent studies have shown that corona patients with ILD also go on to sudden death. Therefore, the diagnosis of ILD is more critical today. Different deep learning approaches have positively impacted various image classification problems recently. The main objective of this proposed research work was to develop a deep learning model to classify the ILD categories from HRCT images. This proposed work aims to perform binary and multi-label classification of ILD using HRCT images on a customized VGG architecture. The proposed model achieved a high test accuracy of 95.18% on untrained data. 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
creator: Raju N.; Augustine D.P.; Anita H.B.
source: SN Computer Science, Vol-4, No. 2
publisher: Springer
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2662995X
format: Online
language: English
type: Article
coverage: Raju N., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Augustine D.P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Anita H.B., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India

Anomalous indirect carrier relaxation in direct band gap atomically thin gallium telluride
description: We report ultrafast studies on atomically thin Gallium telluride, a 2D metal monochalcogenide that has appeared to display superior photodetection properties in visible frequencies. Pump photon energy-dependent spectroscopic studies reveal that photoinduced carriers in this direct band-gap material undergo indirect relaxation within ?30 ps of photoexcitation, which is at least an order slower than that of most 2D materials. Despite the direct band-gap nature, slow and indirect carrier relaxation places this layered material as a prime candidate in the multitude of atomically thin semiconductor-based photodetectors and highlights the potential for prospective optoelectronic applications. 2023 American Physical Society.
creator: Karmakar M.; Kumbhakar P.; Singha T.; Tiwary C.S.; Chanda D.; Datta P.K.
source: Physical Review B, Vol-107, No. 7
publisher: American Physical Society
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 24699950
format: Online
language: English
type: Article
coverage: Karmakar M., Department of Physics, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States, CREOL, College of Optics and Photonics, University of Central Florida, Orlando, 32826, FL, United States; Kumbhakar P., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States, Department of Physics, University of Central Florida, Orlando, 32826, FL, United States; Singha T., Department of Physics, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States; Tiwary C.S., Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India, NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States; Chanda D., NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States, Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore, 560029, India; Datta P.K., NanoScience Technology Center, University of Central Florida, Orlando, 32826, FL, United States

AUTOMATION OF TEST CASE PRIORITIZATION: A SYSTEMATIC LITERATURE REVIEW AND CURRENT TRENDS
subject: Regression Testing; Software Engineering; Software Test Automation; Test Case Prioritization; Software Testing
description: An Important stage in software testing is designing a test suite [18]. The test case repository consists of a large number of test cases. However, only a portion of these test cases would be relevant and can find bugs. Test case prioritization(TCP) is one such technique that can substantially increase the cost-effectiveness of the testing activity. Using test case prioritization, more relevant test cases can be captured and tested in the earlier stages of the testing phase. The objective of the study is to understand different techniques used and a systemic study on the effectiveness of these approaches. The Literature consists of a few relevant articles introducing novel techniques for test case prioritization between 2008 and 2022. Studies show that parameters that are considered for test case prioritization are important. Hence, the current article also focuses on the parameters considered in the literature. 40% of the articles used in the literature review use different test case information as parameters. A systemic review and analysis of data sets involved in the literature are evaluated in the study. The review also focuses on the different approaches used for comparing the newly introduced approach and reveals a novel approach for prioritization. 2023 Little Lion Scientific. All rights reserved.
creator: George J.J.C.; Augustine D.P.
source: Journal of Theoretical and Applied Information Technology, Vol-101, No. 3, pp. 1381-1387.
publisher: Little Lion Scientific
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 19928645
format: Online
language: English
type: Article
coverage: George J.J.C., Department of Computer Science, CHRIST (Deemed to be University, India; Augustine D.P., Department of Computer Science, CHRIST (Deemed to be University, India

https://archives.christuniversity.in/items/show/14387
title: Engineering a low-cost diatomite with Zn-Mg-Al Layered triple hydroxide (LTH) adsorbents for the effectual removal of Congo red: Studies on batch adsorption, mechanism, high selectivity, and desorption
subject: Adsorption; Congo red; Diatomite; Modification; Removal; Zn-Mg-Al LTH
description: In this work, naturally occurring, low-cost diatomite (De) or diatomaceous earth (DE) adsorbent was treated with various molar concentrations (0.05, 0.1, and 0.2 M) of Zn-Mg-Al layered triple hydroxide (LTH) using a co-precipitation approach. The DE-modified samples were named 0.05 LDE, 0.1 LDE, and 0.2 LDE and employed to remove Congo Red (CR) dye from an aqueous solution. The adsorbents were examined using XRD, BET-N2 adsorption-desorption method, ATR-IR, FESEM-EDX, and XPS, and also analyzed for zeta potentials of adsorbents at pH values between 5 and 11 to observe their surface charges. The removal efficiencies of CR were 96.5%, 99.7%, and 94.5% for 20 mg of 0.05 LDE, 0.1 LDE, and 0.2 LDE, respectively, at pH 7. A bare DE, however, showed a removal efficiency of only 7.4%. After CR adsorption, the maximum adsorption capacities (qmax) of the adsorbents were examined using the Langmuir isotherm, and the results showed that 0.1 LDE-CR (44.0 mgg?1) had a higher qmax than 0.05 LDE-CR (35.6 mgg?1), 0.2 LDE-CR (27.9 mgg?1), and DE-CR (0.9 mgg?1). The optimal adsorbent of 0.1 LDE was utilized for the selectivity and salt effects based on the investigation's efficiency in removing contaminants. 0.1 LDE has been studied for reusability of up to five cycles and can remove CR up to three cycles with 77.7% and 79.9% efficiency using NaCl and NaOH, respectively. The adsorbents may therefore be particularly effective at removing CR from water and beneficial in industrial settings where dye is often used. 2023 Elsevier B.V.
creator: Vishal K.; Aruchamy K.; Sriram G.; Ching Y.C.; Oh T.H.; Hegde G.; Ajeya K.V.; Joshi S.; Sowriraajan A.V.; Jung H.-Y.; Kurkuri M.
source: Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol-661
publisher: Elsevier B.V.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9277757; CODEN: CPEAE
format: Online
language: English
type: Article
coverage: Vishal K., Department of Mechanical Engineering, The National Institute of Engineering, Karnataka, Mysuru, 570008, India, Centre for Research in Functional Materials (CRFM), JAIN (Deemed-to-be-University), Jain Global Campus, Karnataka, Bengaluru, 562 112, India; Aruchamy K., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Sriram G., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Ching Y.C., Department of Chemical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia; Oh T.H., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed-to-be-University), Hosur Rd, Bhavani Nagar, S.G. Palya, Bangalore 29, Karnataka, India; Ajeya K.V., Department of Environment and Energy Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea; Joshi S., Department of Mechanical Engineering, The National Institute of Engineering, Karnataka, Mysuru, 570008, India; Sowriraajan A.V., Fire and Combustion Research Centre, JAIN (Deemed-to-be-University), Jain Global Campus, Karnataka, Bengaluru, 562112, India; Jung H.-Y., Department of Environment and Energy Engineering, Chonnam National University, 77 Yongbong-ro, Buk-gu, Gwangju, 61186, South Korea; Kurkuri M., Centre for Research in Functional Materials (CRFM), JAIN (Deemed-to-be-University), Jain Global Campus, Karnataka, Bengaluru, 562 112, India

A Study on Experimental Analysis of Best Fit Machine Learning Approach for Smart Agriculture
subject: Agriculture; AI techniques; Best fit; CNN; Deep learning; KNN; Machine learning; Random forest; SVM
description: By 2050, the population is projected to exceed nine billion, necessitating a 70% increase in agricultural output to meet the need. Land, water, and other resources are running out due to the growing world population, making it impossible to maintain the demandsupply cycle. The yield of cultivation is also declining as a result of people's ignorance of the growing crop illnesses. Given that food is the most basic human requirement, future research should focus on revitalizing the agricultural sector. Farming may be made more productive for farmers by applying the right artificial intelligence technologies and datasets. Agronomics can benefit greatly from artificial intelligence. So that we can farm more effectively and be as productive as possible, we need to adopt a better strategy. The objective of this paper is to experimentally analyze the machine learning algorithms and methods already in use and forecast the most effective approach to use in each agricultural sector. In this article, we will present the challenges farmers face when using traditional farming methods and how artificial intelligence is revolutionizing agriculture by replacing the traditional methods. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
creator: Lovesum J.; Prince B.
source: SN Computer Science, Vol-4, No. 2
publisher: Springer
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2662995X
format: Online
language: English
type: Article
coverage: Lovesum J., Christ University, Bangalore, India; Prince B., Presidency University, Bangalore, India

FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing
subject: Anti Corona Virus Optimization; Deep neuro-fuzzy network; Deep Quantum Neural Network; Distributed denial of service; Fractional Calculus
description: Cloud computing offers a broad range of resource pools for conserving a huge quantity of information. Due to the intrusion of attackers, the information that exists in the cloud is threatened. Distributed Denial of Service (DDoS) attack is the main reason for attacks in the cloud. In this study, a Fractional Anti Corona Virus Optimization-based Deep Neuro-Fuzzy Network (FACVO-based DNFN) is devised for detecting DDoS in the cloud. The production of log files, feature fusion, data augmentation, and DDoS attack detection is the processing stages involved in this phase of the DDoS attack detection process. The feature fusion is carried out by RV coefficient and Deep Quantum Neural Network (Deep QNN), and the data augmentation is performed. Then, the Anti Corona Virus Optimization (ACVO) method and Fractional Calculus (FC) are both incorporated to create the FACVO algorithm. The DNFN is trained by the created FACVO algorithm, which identifies the DDoS attack. The proposed approach achieved testing accuracy, TPR, TNR, and precision values of 0.9304, 0.9088, 0.9293, and 0.8745 for using the NSL-KDD dataset without attack, and 0.9200, 0.8991, 0.9015, and 0.8648 for using the BoT-IoT dataset without attack. 2022 Elsevier B.V.
creator: Emil Selvan G.S.R.; Ganeshan R.; Jingle I.D.J.; Ananth J.P.
source: Knowledge-Based Systems, Vol-261
publisher: Elsevier B.V.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 9507051; CODEN: KNSYE
format: Online
language: English
type: Article
coverage: Emil Selvan G.S.R., Assistant Professor, Department of Computer Science and Engineering, Thiagarajar College of Engineering, Madurai, 625015, India; Ganeshan R., Assistant Professor Senior Grade - II, School of Computing Science And Engineering, VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Madhya Pradesh, Sehore, 466114, India; Jingle I.D.J., Associate Professor, Department of CSE, School of Engineering and Technology, Christ University, Karnataka, Bangalore, India; Ananth J.P., Professor, Department of CSE, Sri Krishna College of Engineering and Technology, Tamil Nadu, Coimbatore, India

Thermal diffusivity study of one-pot synthesised polypyrrole silver nanocomposite by thermal lens method
subject: EDAX spectrum; Polypyrrole; Thermal diffusivity
description: We are reporting the results of our exploration of the thermal lens method to determine the thermal diffusivity of Ppy and Ppy/Ag nanocomposites synthesised by simple, cost effective in situ chemical oxidative polymerisation. EDAX spectrum confirms the presence of silver in the samples. Raman analysis shows that the increase in the concentration of silver in composite results in an increase in the conjugation length of the samples. We have adopted the dual-beam pump-probe technique to determine the thermal diffusivity of polypyrrole and polypyrrole silver nanocomposite with varying silver concentrations. We report suppression of thermal diffusivity of polypyrrole with the addition of a small concentration of silver and an enhanced thermal diffusivity with an increase in the concentration of silver with ethanol as the base fluid. Increased thermal diffusivity of the samples makes them suitable for use as coolants. 2022 Elsevier Ltd
creator: Punnakkal V.S.; Francis F.; Pius M.; Santhi A.; Anila E.I.
source: Materials Today Communications, Vol-34
publisher: Elsevier Ltd
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 23524928
format: Online
language: English
type: Article
coverage: Punnakkal V.S., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India, Sree Sankara College, Kerala, Kalady, 683574, India; Francis F., St. Teresa's College (Autonomous), Kerala, Ernakulam, 682011, India; Pius M., St. Teresa's College (Autonomous), Kerala, Ernakulam, 682011, India; Santhi A., St. Teresa's College (Autonomous), Kerala, Ernakulam, 682011, India; Anila E.I., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India

Young adults default intention: influence of behavioral factors in determining housing and real estate loan repayment in India
subject: Emotion; Financial literacy; Home loan default intention; Housing and real estate; Indebtedness; Materialism; Risk perception; Young adults
description: Purpose: The primary purpose of this paper is to determine the role of behavioral characteristics of young adults on housing and real estate loan default intentions. The behavioral factors considered in this study are financial literacy, materialism, emotions, indebtedness and risk perception. Design/methodology/approach: The sample frame comprises of young clients who have taken house loans and work in Indias metropolitan cities. These cities provide a higher quality of life, more employment possibilities and cheaper living costs. A systematic questionnaire was used, which was divided into six components. A total of 352 valid responses were collected and analyzed through a structural equation model. Findings: The findings suggest that financial literacy, materialism and risk perception have a considerable impact on loan default intention among young adults. The results also ascertained that emotion and indebtedness do not have a considerable impact on loan default intention among young adults. Research limitations/implications: The scope of this study is limited to Indias metropolitan cities. Future studies can examine comparative examinations of young adults working in the public and private sectors and those working in different cities across India. Practical implications: This paper contributes to a better understanding of behavioral variables which may lead to the creation of preventive measures for young defaulters. The findings of this study will help financial institutions to improve their credit-offering models. Originality/value: To the best of the authors knowledge, this study is the first to determine the role of behavioral attributes of young adults on housing and real estate loan default intentions in India. This work will be executable to all the stakeholders of the housing and real estate industry altogether. 2022, Emerald Publishing Limited.
creator: Thomas S.S.; George J.P.; Godwin B.J.; Siby A.
source: International Journal of Housing Markets and Analysis, Vol-16, No. 2, pp. 426-444.
publisher: Emerald Publishing
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 17538270
format: Online
language: English
type: Article
coverage: Thomas S.S., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; George J.P., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; Godwin B.J., School of Business and Management, CHRIST (Deemed to be University), Lavasa, India; Siby A., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Lavasa, India

Fractional approach for mathematical model of phytoplankton-toxic phytoplankton-zooplankton system with Mittag-Leffler kernel
subject: Atangana-Baleanu derivative; Laplace transform; q -HATM; stability analysis; Toxic-phytoplankton; zooplankton
description: The solution for phytoplankton-toxic phytoplankton-zooplankton system with q-homotopy analysis transform method (q-HATM) is discussed. The projected system exemplifies three components (namely, zooplankton, toxic-phytoplankton as well as phytoplankton) and the corresponding nonlinear ordinary differential equations exemplify the zooplankton feeds on phytoplankton. The projected method is an amalgamation of q-homotopy analysis algorithm and Laplace transform and the derivative associated with the Atangana-Baleanu (AB) operator. The equilibrium points and stability have been discussed with the assistance of the Routh-Hurwitz rule in this work within the frame of generalized calculus. The fixed-point theorem is employed to present the existence and uniqueness of the attained result for the considered model, and we consider five different initial conditions for the projected system. Further, the physical nature of the achieved solution has been captured for fractional order, external force and diverse mass. The achieved consequences explicate that the proposed solution method is highly methodical, easy to implement and accurate to analyze the behavior of the nonlinear system relating to allied areas of science and technology. 2023 World Scientific Publishing Company.
creator: Veeresha P.; Akinyemi L.
source: International Journal of Biomathematics, Vol-16, No. 3
publisher: World Scientific
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 17935245
format: Online
language: English
type: Article
coverage: Veeresha P., Department of Mathematics, Centre for Mathematical Needs, CHRIST (Deemed to be University), Bengaluru, 560029, India; Akinyemi L., Department of Mathematics, Lafayette College, Easton, PA, United States

Analysis and Forecasting of Area Under Cultivation of Rice in India: Univariate Time Series Approach
subject: ARIMA; Holt's exponential smoothing; NNAR models; Time series analysis; Univariate analysis
description: This study uses three distinct models to analyse a univariate time series of data: Holt's exponential smoothing model, the autoregressive integrated moving average (ARIMA) model, and the neural network autoregression (NNAR) model. The effectiveness of each model is assessed using in-sample forecasts and accuracy metrics, including mean absolute percentage error, mean absolute square error, and root mean square log error. The area under cultivation in India for the following 5years is predicted using the model whose fitted values are most like the observed values. This is determined by performing a residual analysis. The time series data used for the study was initially found to be non-stationary. It is then transformed into stationary data using differencing before the models can be used for analysis and prediction. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
creator: Annamalai N.; Johnson A.
source: SN Computer Science, Vol-4, No. 2
publisher: Springer
date: 2023-01-01
rights: All Open Access; Bronze Open Access; Green Open Access
relation: ISSN: 2662995X
format: Online
language: English
type: Article
coverage: Annamalai N., CHRIST (Deemed to be University), Pune Lavasa, India; Johnson A., CHRIST (Deemed to be University), Pune Lavasa, India

A Qualitative Study to Understand the Nature of Abuse Experienced by Persons with Severe Mental Illness
subject: multiple forms; qualitative enquiry; severe mental disorders; victimization
description: Persons with Severe Mental Illness (PwSMI) living in the community are considered high-risk groups for victimization. However, the nature of violence experienced by PwSMI is not well understood in India, which limits the effectiveness of clinical interventions to prevent revictimization. The Key Informant Interviews (KIIs) and Focused Group Discussion guides were developed, content validated, and pilot tested. A total of 27 KIIs and 5 focus groups were conducted with 14 PwSMIs, 19 experts, and 18 caregivers. Thematic analysis was done using Braun and Clarke's six stages of thematic analysis. The saturation of themes was determined using the Comparative Method for Themes Saturation (CoMeTS). Some of the themes and subthemes that emerged were (1) Physical Abuse (physical restraining, hitting, spitting), (2) Psychological Abuse (living in a controlling environment, criticized, neglected, scapegoated, symptomization of emotions and behavior),(3) Sexual Abuse (sexual assault, reproductive coercion, sexual exploitation), (4) Social Abuse (teased or labeled, social deprivation, abandonment, discrimination, and exclusion), and (5) Trauma in formal care (Coercive treatment practices, seclusion, negative attitude of staff, surreptitious prescribing of medicines, patronizing behavior). Abuse experienced by PwSMI has significant treatment and health care costs and an increased burden on families and society, so comprehensive psychosocial care and support are needed to prevent revictimization. Copyright 2023, Mary Ann Liebert, Inc., publishers 2023.
creator: Rani A.; Raman K.J.; Antony S.; Thirumoorthy A.; Chethan B.
source: Violence and Gender, Vol-10, No. 1, pp. 45-56.
publisher: Mary Ann Liebert Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 23267836
format: Online
language: English
type: Article
coverage: Rani A., Department of Psychology, School of Social Sciences, Bangalore Central Campus, Christ (Deemed to Be University), Bengaluru, India; Raman K.J., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Antony S., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Thirumoorthy A., Department of Psychiatric Social Work, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India; Chethan B., Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (INI), Bengaluru, India

Microbial engineering strategies for synthetic microplastics clean up: A review on recent approaches
subject: Biotechnology approaches; Enzyme engineering; Microbial engineering; Microplastic; Microplastic removal; Sources of microplastics
description: Microplastics are the small fragments of the plastic molecules which find their applications in various routine products such as beauty products. Later, it was realized that it has several toxic effects on marine and terrestrial organisms. This review is an approach in understanding the microplastics, their origin, dispersal in the aquatic system, their biodegradation and factors affecting biodegradation. In addition, the paper discusses the major engineering approaches applied in microbial biotechnology. Specifically, it reviews microbial genetic engineering, such as PET-ase engineering, MHET-ase engineering, and immobilization approaches. Moreover, the major challenges associated with the plastic removal are presented by evaluating the recent reports available. 2022 Elsevier B.V.
creator: Kumar V.; Sharma N.; Duhan L.; Pasrija R.; Thomas J.; Umesh M.; Lakkaboyana S.K.; Andler R.; Vangnai A.S.; Vithanage M.; Awasthi M.K.; Chia W.Y.; LokeShow P.; BarcelD.
source: Environmental Toxicology and Pharmacology, Vol-98
publisher: Elsevier B.V.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 13826689; PubMed ID: 36572198; CODEN: ETOPF
format: Online
language: English
type: Article
coverage: Kumar V., Department of Community Medicine, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India, Ecotoxicity and Bioconversion Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Thandalam, 602105, India; Sharma N., School of Biotechnology, Jawaharlal Nehru University, New Delhi, India; Duhan L., Department of Biochemistry, Maharshi Dayanand University, Rohtak, India; Pasrija R., Department of Biochemistry, Maharshi Dayanand University, Rohtak, India; Thomas J., Department of Biotechnology, Mar Athanasius College, Kerala, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Lakkaboyana S.K., Department of Chemistry, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, 600062, India; Andler R., Escuela de Ingenier en Biotecnolog, Centro de Biotecnolog de los Recursos Naturales (Cenbio), Universidad Catica del Maule, Chile; Vangnai A.S., Center of Excellence in Biocatalyst and Sustainable Biotechnology, Department of Biochemistry, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand; Vithanage M., Ecosphere Resilience Research Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, Sri Lanka; Awasthi M.K., College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, China; Chia W.Y., Department of Chemical and Environmental Engineering, Faculty Science and Engineering, University of Nottingham, Selangor Darul Ehsan, Semenyih, 43500, Malaysia; LokeShow P., Department of Chemical and Environmental Engineering, Faculty Science and Engineering, University of Nottingham, Selangor Darul Ehsan, Semenyih, 43500, Malaysia, Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Pr…

Effect of salicylic acid, jasmonic acid, and a combination of both on andrographolide production in cell suspension cultures of Andrographis paniculata (Burm.f.) Nees
subject: Abiotic elicitors; Andrographis paniculata; Andrographolide; Cell suspension cultures; Jasmonic acid; Salicylic acid
description: Elicitors act as signaling compounds that can induce and enhance the production of metabolites by activating biochemical pathways in response to external stress. Salicylic acid (SA) acts as a signaling molecule in plants in response to an attack by biotrophic pathogens whereas jasmonic acid (JA) is released in plants in response to wounds and herbivory. Both the signaling molecules aid in plant chemical defenses by increasing the production of secondary metabolites. The present study investigates the effect of SA, JA, and the combination of both (SA + JA) on the andrographolide content in cell suspension cultures of Andrographis paniculata. Four different concentrations (25, 50, 75, and 100 M) of SA and JA individually, and an equimolar combination of both SA and JA together, were administered to cell suspension cultures taken in triplicates at shake flask scale. Andrographolide content was estimated using high performance liquid chromatography. Both SA and JA showed a positive effect on andrographolide content with the increase in their concentrations. SA at its highest concentration resulted in just 0.18-fold increase (83.33 6.7 g/g DCW) in andrographolide content compared to control, whereas JA resulted in a 3-fold increase (211 5.8 g/g DW); the combination of both SA and JA had an intermediate effect at all concentrations except one concentration (75 + 75 M) which resulted in a 3.8-fold increase (280 2.7 g/g DW), in andrographolide content. 2023 Ahmed and Praveen.
creator: Ahmed N.; Praveen N.
source: Journal of Applied Biology and Biotechnology, Vol-11, No. 2, pp. 198-203.
publisher: Open Science Publishers LLP Inc.
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 2347212X
format: Online
language: English
type: Article
coverage: Ahmed N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Praveen N., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India