AS-CL IDS: anomaly and signature-based CNN-LSTM intrusion detection system for Internet of Things
subject: Artificial intelligence; Deep learning; Hybrid intrusion detection; Internet of things; Intrusion detection systems; IoT dataset; Machine learning
description: In recent years, the internet of things (IoT) has had a significant impact on our daily lives, offering various advantages for improving our quality of life. However, it is crucial to prioritize the security of IoT devices and the protection of user's personal data. Intrusion detection systems (IDS) play a critical role in maintaining data privacy and security. An IoT IDS continuously monitors network activity and identifies potential security risks or attacks targeting IoT devices. While traditional IDS solutions exist, intrusion detection heavily relies on artificial intelligence (AI). AI can greatly enhance the capabilities of IoT IDS through real-time monitoring, precise threat identification, and automatic response capabilities. It is essential to develop and utilize these technologies securely and responsibly to mitigate potential risks and safeguard user privacy. A hybrid IDS was proposed for anomaly-based and signature-based intrusions, leveraging convolutional neural network with long short-term memory (CNN-LSTM). The name of the proposed hybrid model is anomaly and signaturebased CNN-LSTM intrusion detection system (AS-CL IDS). The AS-CL IDS concentrated on two different IoT IDS detection strategies employing a combination of deep learning techniques. The model includes model training and testing as well as data preprocessing. The CIC-IDS 2018, IoT network intrusion dataset, MQTT-IoT-IDS2020, and BoTNeTIoTL01 datasets were used to train and test the AS-CL IDS. The overall performance of the proposed model was assessed using accepted assessment metrics. Despite reducing the number of characteristics, the model achieved 99.81% accuracy. Furthermore, a comparison was made between the proposed model and existing alternative models to demonstrate its productivity. As a result, the proposed model proves valuable for predicting IoT attacks. Looking ahead, the deployment strategy of the IoT IDS can anticipate the utilization of real-time datasets for future implem…
creator: Jose J.; Jose D.V.
source: International Journal of Advanced Technology and Engineering Exploration, Vol-10, No. 109, pp. 1622-1639.
publisher: Accent Social and Welfare Society
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 23945443 | CS; 2023-2024; Vol-1; 00157-00174
format: Online
language: English
type: Article
coverage: Jose J., Department of Computer Science, CHRIST University, Bangalore, India, Department of Data Science, St. Josephs College, Moolamattom, India; Jose D.V., Department of Computer Science, CHRIST University, Bangalore, India

Return volatility transmission among Asian stock exchanges: Evidence from a heterogeneous market outlook
subject: : Stock exchange; Asian stock exchange; VAR; volatility Spill-over
description: . This pragmatic research strives to reveal the return volatility transmission throughout Asian stock exchanges, by employing variance decomposition technique of Vector autoregressive (VAR) based framework. Additionally, the current examination exerts a Granger causality approach to detect short-term cause and effect among the stock exchanges. The consequence of volatility spill-over exhibits the dominancy of Indian, Chinese and Japanese exchanges in terms of net volatility transmitter. Further, it is found that Korean, Thai, and Malaysian stock exchanges seem to be net receiver of volatility in Asia. Additionally, the outcome of current investigation reveals neutrality of Bangladeshi and Pakistani stock exchange, as the returns volatility of these stock exchange are not influenced by any other Asian stock exchanges. Furthermore, the result of Granger causality analysis signifies the existence of unidirectional causality among the Asian stock exchanges. In terms of policy implication, it is imperative for investors and policymakers to closely monitor the behaviour of the Japanese stock exchange, as it plays a significant role as a net transmitter of volatility to other stock exchanges in Asia. By keeping a vigilant eye on the Japanese stock exchange, investors can better assess and manage potential risks and opportunities in the region. 2023 IOS Press. All rights reserved.
creator: Mishra A.; Sakuja V.
source: Risk and Decision Analysis, Vol-9, No. 45749, pp. 73-85.
publisher: IOS Press BV
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 15697371
format: Online
language: English
type: Article
coverage: Mishra A., Department of Economics, Birla Global University, Bhubaneswar, India; Sakuja V., Department of Economic, CHRIST (Deemed to be University), Delhi NCR, India

Operational pattern forecast improvement with outlier detection in metro rail transport system
subject: Forecast; Metro rail; Outliers detection; Passenger flow data; Station clustering
description: Transportation is an unavoidable part of every humans life. The mobility system handles the transport of humans from different places using various transport modes. According to a station in a populated area, the main problem is the presence of traffic in peak hours and wasting their valuable time on the road. The only medium which runs above the traffic is metro rails/subways. For these reasons, metro rails become a point of interest for each researchers prophecy and provide valuable recommendations for the smooth functioning of services. Even though, in many cases, the metro systems are affected by abnormal passenger flow. So, this study handles abnormal passenger flow detection and station clustering for the behavior study of a passenger flow system. The research compares outlier detection and anomaly identification for the behavioral analysis of the metro rail passenger flow. The study use data from Kochi Metro Rail Limited for the period 2017 to 2019. Outlier removal has used in passenger flow data before building a forecasting system. In pattern recognition algorithm those components which lie outside the patterns can be considered abnormal (anomaly).The outliers are the component falling apart from the region of interest. The effect of removing the outlier from the time-series pattern is studied against the outlier included pattern to show the improvement. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
creator: Thandassery S.; Mulerikkal J.; Raghavendra S.
source: Multimedia Tools and Applications, Vol-83, No. 4, pp. 11229-11245.
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 13807501; CODEN: MTAPF
format: Online
language: English
type: Article
coverage: Thandassery S., Department of Computer Science and Engineering, Christ (Deemed to be University), Karnataka, Bengaluru, India, Department of Computer Science and Engineering, Rajagiri School of Engineering and Technology, Kochi, India; Mulerikkal J., Department of Information Technology, Rajagiri School of Engineering and Technology, Kochi, India; Raghavendra S., Department of Computer Science and Engineering, Christ (Deemed to be University), Karnataka, Bengaluru, India

SPP1, a potential therapeutic target and biomarker for lung cancer: functional insights through computational studies
subject: gene expression analysis; gene network analysis; Lung cancer; molecular docking; molecular dynamics simulation
description: NIH reported 128 different types of cancer of which lung cancer is the leading cause of mortality. Globally, it is estimated that on average one in every seventeen hospitalized patients was deceased. There are plenty of studies that have been reported on lung cancer draggability and therapeutics, but yet a protein that plays a central specific to cure the disease remains unclear. So, this study is designed to identify the possible therapeutic targets and biomarkers that can be used for the potential treatment of lung cancers. In order to identify differentially expressed genes, 39 microarray datasets of lung cancer patients were obtained from various demographic regions of the GEO database available at NCBI. After annotating statistically, 6229 up-regulated genes and 10324 down-regulated genes were found. Out of 17 up-regulated genes and significant genes, we selected SPP1 (osteopontin) through virtual screening studies. We found functional interactions with the other cancer-associated genes such as VEGF, FGA, JUN, EGFR, and TGFB1. For the virtual screening studies,198 biological compounds were retrieved from the ACNPD database and docked with SPP1 protein (PDBID: 3DSF). In the results, two highly potential compounds secoisolariciresinol diglucoside (-12.9 kcal/mol), and Hesperidin (-12.0 kcal/mol) showed the highest binding affinity. The stability of the complex was accessed by 100 ns simulation in an SPC water model. From the functional insights obtained through these computational studies, we report that SPP1 could be a potential biomarker and successive therapeutic protein target for lung cancer treatment. 2023 Informa UK Limited, trading as Taylor & Francis Group.
creator: Annadurai Y.; Easwaran M.; Sundar S.; Thangamani L.; Meyyazhagan A.; Malaisamy A.; Natarajan J.; Piramanayagam S.
source: Journal of Biomolecular Structure and Dynamics, Vol-42, No. 3, pp. 1336-1351.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 7391102; PubMed ID: 37096999; CODEN: JBSDD
format: Online
language: English
type: Article
coverage: Annadurai Y., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India; Easwaran M., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India; Sundar S., Department of Biotechnology, PSG College of Technology, Tamil Nadu, Coimbatore, India; Thangamani L., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India; Meyyazhagan A., Dipartimento di Medicina e Chirurgia, Universitdi Perugia, Perugia, Italy, Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India, Department of Translation Medicine and Surgery, Perugia University, Perugia, Italy; Malaisamy A., Transcription Regulation Group, International centre for Genetic Engineering and Biotechnology, New Delhi, India; Natarajan J., Text Mining Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India; Piramanayagam S., Computational Biology Lab, Department of Bioinformatics, Bharathiar University, Tamil Nadu, Coimbatore, India

Nanofluid flow past a vertical plate with nanoparticle aggregation kinematics, thermal slip and significant buoyancy force effects using modified Buongiorno model
subject: aggregation of nanoparticles; exponential space-based heat source; modified Buongiorno model; nanofluid; Nonlinear Boussinesq approximation; quadratic thermal radiation
description: The flow of ethylene glycol-based titania nanoliquid passing through a vertical plate induced by significant buoyancy forces (nonlinear convection) is analyzed with quadratic thermal radiation and considering the aggregation kinematics of the nanoparticles. The nanoliquid is modeled accounting for thermo-migration, Brownian motion, and the effectual thermophysical properties. The realistic zero mass flux and thermal slip conditions are considered on the surface of the plate. In addition, the mechanisms of exponential space-related heat source (ESHS) and thermal-based heat source (THS) are incorporated. The finite-difference technique-based bvp5c routine is used to obtain the numerical solution of thenonlinear system of equations. The effects of the parameters are examined on the dimensionless profiles of velocity, temperature, heat transport rate, the volume fraction of nanoparticles, and streamlines. It was found that the aggregation of nanoparticles significantly advances the temperature field while the velocity field is reduced. The ESHS and THS modulations improve the thickness of the thermal boundary layer. The quadratic thermal convection aspect improves the velocity of nanoliquid. Furthermore, the effects of quadratic thermal radiation assist the growth of the thermal boundary layer. The present results are relevant to various thermal systems including flat plate solar collectors, heat exchangers, and nuclear reactors. 2021 Informa UK Limited, trading as Taylor & Francis Group.
creator: Rana P.; Mahanthesh B.; Mackolil J.; Al-Kouz W.
source: Waves in Random and Complex Media, Vol-34, No. 4, pp. 3425-3449.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17455030
format: Online
language: English
type: Article
coverage: Rana P., School of Mathematical Sciences, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Mackolil J., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Al-Kouz W., Department of Mechanical and Maintenance Engineering, German Jordanian University, Amman, Jordan

Electrochemical sensor based on PVP coated cobalt ferrite/graphite/PANI nanocomposite for the detection of hydrazine
subject: cobalt ferrite; electrochemical sensors; graphite; hydrazine; polyaniline
description: In this study, we developed a multi-layered electrode as an efficient nanocomposite electrochemical sensor for detecting carcinogenic hydrazine in water. Nano-cobalt ferrite (CoFe2O4) was prepared using poly (vinylpyrrolidone) (PVP), mixed with an optimum quantity of graphite and pasted on a stainless-steel current collector. The nanocomposite was further hybridised by electrodepositing with polyaniline (PANI). The obtained composite was characterized using XRD, FTIR, SEM, and electrochemical techniques. XRD analysis shows the successful formation of composite from individual precursors. According to SEM, wrinkled and layered morphology for graphite and aggregate clusters for cobalt with spike or tubular structure for polyaniline were observed. When subjected to amperometry current, the prepared electrode showed different peaks for different concentrations of hydrazine, such as 1 ?M to 100 ?M. Cyclic voltammetry studies showed an increase in oxidation and reduction peaks. These studies will lead to a new platform for their potential applications in detecting toxic materials in real samples such as water, plastic bottle, water etc., 2023 The Author(s). Published by IOP Publishing Ltd.
creator: Desai N.; Sudhakar Y.N.; Patil R.R.; Chandran A.; Nidhin M.; Agnihotri A.S.
source: Materials Research Express, Vol-10, No. 12
publisher: Institute of Physics
date: 2023-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 20531591
format: Online
language: English
type: Article
coverage: Desai N., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India; Sudhakar Y.N., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India; Patil R.R., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India; Chandran A., Department of Chemistry, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576 104, India; Nidhin M., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Agnihotri A.S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India

Comprehensive Review on CdTe Crystals: Growth, Properties, and Photovoltaic Application
subject: cadmium telluride (CdTe); dislocation density; horizontal traveling heater method; sublimation method; travelling heater method
description: Abstract: Despite the deep interest of materials scientists in cadmium telluride (CdTe) crystal growth, there is no single source to which the researchers can turn towards for comprehensive knowledge of CdTe compound semiconductor synthesis protocols, physical properties and performance. Considering this, the present review work focuses to bridge this shortcoming. The direct band gap (Eg) CdTe crystals have been in limelight in photovoltaic application (PV) since the optoelectronic properties such as Eg (1.49 eV), absorption coefficient (~105 cm1), p-type conductivity, carrier concentration (6 1016 cm3) and mobility (1040 cm2/(V s)) at the room temperature are reported that optimum for solar cells. Additionally, Cd-based compounds such as CdTe and CdZnTe have also been widely studied in the field of ? and ?-ray radiation detector, because of their extraordinary advantages like large atomic number, low weight, high mechanical hardness, flexibility, and the availability of the constituent materials. CdTe has demerits like toxicity and high melting temperature, which will complicate the growth of stoichiometric cadmium telluride crystals at high temperatures. In this regard, the review work focused the periodic evolution of the growth protocols until now. The different synthesis methods, characterization, and recent progress in the field of crystalline CdTe were discussed briefly. Important optical and electrical characteristics are presented in the tables and remaining issues have discussed, this could be looked into for further research. The applications of CdTe crystals for photovoltaic fields are also discussed in this review paper. Pleiades Publishing, Ltd. 2023. ISSN 0031-918X, Physics of Metals and Metallography, 2023, Vol. 124, No. 14, pp. 17951812. Pleiades Publishing, Ltd., 2023. ISSN 0031-918X, Physics of Metals and Metallography, 2023. Pleiades Publishing, Ltd., 2023.
creator: Bibin John; Varadharajaperumal S.
source: Physics of Metals and Metallography, Vol-124, No. 14, pp. 1795-1812.
publisher: Pleiades Publishing
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 0031918X
format: Online
language: English
type: Article
coverage: Bibin John, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India, Department of Physics, Nirmalagiri College, Kerala, Kuthuparamba, 670101, India; Varadharajaperumal S., Center for Nanoscience and Engineering (CeNSE), Indian Institute of Science, Karnataka, Bangalore, 560012, India

Forgiving Behavior among Emerging Adults: The Influence of Religiosity and Spirituality and Personality Traits
subject: emerging adults; Forgiveness; personality traits; religiosity; spirituality
description: The present study aims to examine the three important aspects of emerging adulthood, religiosity and spirituality, personality traits, and forgiveness which bring well-being benefits. It is hypothesized that religiosity and spirituality along with personality traits predict forgiveness among emerging adults. The Neo Five-Factor Inventory (NEO FFI), the Religiosity and Spirituality Scale for Youth (RaSSY), and the Heartland Forgiveness Scale (HFS) were administered to 364 female and 390 male emerging adults (n = 754; mean age = 21 years, SD = 14.88) selected through purposive sampling technique from colleges in Bangalore. Data were analyzed using correlational and hierarchical regression analysis. This study found that religiosity and spirituality and the Big Five personality traits positively correlated with forgiveness whereas all personality traits, except neuroticism, strongly predicted forgiveness more than religiosity and spirituality. These findings suggest that faith-based coping and religious social support in combination with personality traits help emerging adults practice forgiveness in their daily life, leading to further insight into the theories of forgiveness and well-being. 2023 Taylor & Francis Group, LLC.
creator: Raj P.; Padmakumari P.
source: Child and Youth Services, Vol-45, No. 3, pp. 278-299.
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 0145935X
format: Online
language: English
type: Article
coverage: Raj P., Department of Psychology, Jyoti Nivas College Autonomous, Bangalore, India; Padmakumari P., Department of Psychology, CHRIST (Deemed-to-be-University), Bangalore, India

Effects of Financial and Trade Globalization on Total Factor Productivity Growth in Emerging Economies
subject: emerging economies; financial globalization; Total factor productivity; trade globalization
description: This article considers the annual sample from 1984 to 2019 in a panel dataset of 20 emerging economies (i.e. Brazil, Chile, China, Colombia, the Czech Republic, Egypt, Greece, Hungary, India, Indonesia, Kuwait, Malaysia, Mexico, Peru, the Philippines, Poland, Saudi Arabia, South Africa, Thailand, and Turkey) given by Morgan Stanley Capital International (MSCI), to explore the effects of trade and financial globalization on total factor productivity (TFP) growth. It considers domestic credit to the private sector by banks as a percentage of gross domestic product (GDP), labor force, and total gross fixed capital formation as a percentage of GDP as control variables in the total factor productivity function. The article considers the direct effects of trade and financial globalization. It also checks the moderating impact of domestic credit on TFP. The long-run estimation shows that domestic credit, labor force, and financial globalization reduce TFP growth, whereas investments and trade globalization enhance it. Interestingly, their moderating effect enhances TFP in the long run. The policy implications are also discussed. 2023 Taylor & Francis Group, LLC.
creator: Zhao Z.; Pal S.; Mahalik M.K.; Gozgor G.
source: Emerging Markets Finance and Trade, Vol-60, No. 2, pp. 328-344.
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 1540496X
format: Online
language: English
type: Article
coverage: Zhao Z., Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China; Pal S., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur, India, School of Business and Management, Christ University (Deemed to be University), Bengaluru, India; Mahalik M.K., Department of Humanities and Social Sciences, Indian Institute of Technology Kharagpur, Kharagpur, India; Gozgor G., School of Management, University of Bradford, Bradford, United Kingdom, Faculty of Political Sciences, Istanbul Medeniyet University, Istanbul, Turkey, Adnan Kassar School of Business, Lebanese American University, Beirut, Lebanon

Blind separation of speech from aortic regurgitation signals using Dhoulaths method
subject: Blind source component separation; maximum likelihood gradient search; single microphone approach; W-disjoint orthogonality principle
description: Conducting auscultation of traumatically distressed patients has always been demanding for medical professionals. The challenge calls for an innovative solution enabling doctors to conduct precise diagnoses despite other sound interference. This suggested study presents an entirely non-invasive and convenient method designed to aid doctors in routine diagnostic procedures. This study is centred on the segregation of aortic regurgitation heart sounds from speech. The mixture utilised for the study is a combination of speech and aortic regurgitation signals. The method applied for the study is a revised procedure of Blind Source component separation utilising a solo sensor method. With this technique, doctors are not compelled to prevent patients from articulating their pain or discomfort while diagnosing heart sounds. Doctors can offer a consoling word to patients while the auscultation is in progress without worrying about how the speech sounds affect the diagnosis. For babies, timely detection of heart-related issues can be life-saving. With Dhoulaths method, the distressing sounds of a babys cries can be effectively separated, thereby offering doctors clear audio of heartbeats. The study was conducted to ascertain if heartbeats can be segregated from the signals of speech or cries. This segregation procedure has succeeded in arriving at an enhanced level of clarity. 2022 Informa UK Limited, trading as Taylor & Francis Group.
creator: Beegum J D.; Chithraprasad D.; Ampadi S.; Poonia R.C.; Sankar M.
source: Journal of Experimental and Theoretical Artificial Intelligence, Vol-36, No. 3, pp. 371-388.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 0952813X
format: Online
language: English
type: Article
coverage: Beegum J D., TKM College of Engineering, Kerala, Kollam, India; Chithraprasad D., TKM College of Engineering, Kerala, Kollam, India; Ampadi S., Cardiology, NMCH Brampton, Brampton, Canada; Poonia R.C., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Sankar M., University of Kerala, Thiruvananthapuram, India

Characterization of thermal damage of skin tissue subjected to moving heat source in the purview of dual phase lag theory with memory-dependent derivative
subject: Dual phase lag; kernel function; memory-dependent derivative; moving heat source; time delay
description: This investigation is devoted to exhibit the thermal damage of skin tissue exposed to a moving heat source. Modelling of the problem is performed by adopting dual phase lag theory of bio heat transfer in context of memory dependent derivative. Laplace transform technique has been adopted to represent the analytical solutions of temperature and thermal damage of skin tissue. Thermal damages to the tissues are calculated by the extent of the denatured protein employing with the Arrhenius equation. In order to predict the significance of memory dependent derivative approach, computational results of temperature and thermal damage are evaluated in the frame of different kernel functions as well as time-delay. For the purpose of exhibiting the attractiveness of the present model, obtained results are compared with the results corresponding to the absence of memory dependent derivative. Also, the impact of the velocity of moving heat source has been precisely investigated on temperature variation and thermal damage of skin tissue using quantitative results. Authors believe that this study will be helpful to study the thermal treatment of several diseases such as hyperthermia. 2021 Informa UK Limited, trading as Taylor & Francis Group.
creator: Kumar R.; Tiwari R.; Singhal A.; Mondal S.
source: Waves in Random and Complex Media, Vol-34, No. 4, pp. 3510-3527.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17455030
format: Online
language: English
type: Article
coverage: Kumar R., Department of Mathematics, Central University of South Bihar, Gaya, India; Tiwari R., Nitishwar College, Babasaheb Bhimrao Ambedkar Bihar University, Muzaffarpur, India; Singhal A., Department of Computational Sciences, School of Sciences, Christ University, NCR, Delhi, India; Mondal S., Department of Mathematics, Basirhat College, Kolkata, India

Teaching Data Journalism: A Systematic Review
subject: Data journalism; data journalism training; journalism education; journalism ethics; pedagogy; systematic review
description: Data Journalism has attracted considerable academic attention as an innovative journalism practice in the recent past. It has resulted in a steady increase in academic research on data journalism. A subset of these studies deals with imparting training in data journalism. This study attempts to systematically review the peer-reviewed academic literature on data journalism training in order to ascertain the present status of academic research on the subject. By examining the studies, it brings together insights about the prevalent methods used in data journalism training, the challenges faced by the instructors, the recommended best practices and the students perception about data journalism training. The study finds that accommodating a new programme in the existing tight schedule of journalism curricula, alleviating the math-fear in students and adequately addressing the interdisciplinary nature of the practice through consistent up-skilling are some of the challenges faced by data journalism educators. It also finds that the academic literature on data journalism training is less concerned about imparting ethical awareness related to the practice. 2022 Informa UK Limited, trading as Taylor & Francis Group.
creator: Bhaskaran H.; Kashyap G.; Mishra H.
source: Journalism Practice, Vol-18, No. 3, pp. 722-743.
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17512786
format: Online
language: English
type: Article
coverage: Bhaskaran H., Department of Journalism & Mass Communication, Central University of Himachal Pradesh, Dharamshala, India; Kashyap G., Department of Media Studies, Christ University, Bengaluru, India; Mishra H., Department of Journalism & Mass Communication, Central University of Himachal Pradesh, Dharamshala, India

Facile combustion synthesis of highly active Mo doped BiVO4 for photocatalytic dye degradation, photo-oxidation of alcohols, antifungal and antioxidant activities
subject: alcohol oxidation; antifungal; antioxidant; dye degradation; green synthesis; Molybdenum-doped bismuth vanadate; photocatalysis
description: This work represents the facile and green synthesis of Molybdenum (Mo)-doped bismuth vanadate (BiVO4). Green synthesis of Mo-doped BiVO4 was done using combustion technique using Mangifera indica (Mango) leaf extract as the fuel for combustion. The material synthesised was pure and characterised using X-ray diffraction, scanning electron microscopy, high resolution transmission electron microscopy, ultravioletvisible diffuse reflectance spectroscopy, Fourier transform infrared spectroscopy and photoluminescence (PL). It was found that Mo-doped BiVO4 had monoclinic scheelite phase, with a bandgap of 3.71eV. Various application was possible from the synthesised material like photodegradation of Malachite Green, a typical organic which showed excellent degradation efficiency of 99% under 120minutes. The catalyst also gave up to 95% yields in the light-assisted oxidation of aromatic alcohols to corresponding aldehydes. The material also showed excellent antioxidant properties showing 6.7g of ascorbic acid equivalence (AAE). It gave an excellent minimum lethal dosage (MLD) of 500g against Penicillium and Trichoderma fungal strains and showed maximum of 32 mm zone of inhibition. These applications show the versatility of the material to be used in various fields. 2022 Informa UK Limited, trading as Taylor & Francis Group.
creator: Warrier V.G.; Devasia J.; Nizam A.; V L V.; G N.; Nagendra G.
source: International Journal of Environmental Analytical Chemistry, Vol-104, No. 14, pp. 3314-3333.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 3067319; CODEN: IJEAC
format: Online
language: English
type: Article
coverage: Warrier V.G., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; Devasia J., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; Nizam A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; V L V., Department of Life Science, CHRIST (Deemed to be University), Bangalore, India; G N., Department of Chemistry, Siddaganga Institute of Technology, Tumakuru, India; Nagendra G., Department of Chemistry, School of Applied Sciences, REVA University, Bengaluru, India

Viscosity-sensitive and AIE-active bimodal fluorescent probe for the selective detection of OCl? and Cu2+: a dual sensing approach via DFT and biological studies using green gram seeds
description: A novel dual-mode viscosity-sensitive and AIE-active fluorescent chemosensor based on the naphthalene coupled pyrene (NCP) moiety was designed and synthesized for the selective detection of OCl? and Cu2+. In non-viscous media, NCP exhibited weak fluorescence; however, with an increase in viscosity using various proportions of glycerol, the fluorescence intensity was enhanced to 461 nm with a 6-fold increase in fluorescence quantum yields, which could be utilized for the quantitative determination of viscosity. Interestingly, NCP exhibited novel AIE characteristics in terms of size and growth in H2O-CH3CN mixtures with high water contents and different volume percentage of water, which was investigated using fluorescence, DLS study and SEM analysis. Interestingly, this probe can also be effectively employed as a dual-mode fluorescent probe for light up fluorescent detection of OCl? and Cu2+ at different emission wavelengths of 439 nm and 457 nm via chemodosimetric and chelation pathways, respectively. The fast-sensing ability of NCP towards OCl? was shown by a low detection limit of 0.546 ?M and the binding affinity of NCP with Cu2+ was proved by a low detection limit of 3.97 ?M and a high binding constant of 1.66 103 M?1. The sensing mechanism of NCP towards OCl? and Cu2+ was verified by UV-vis spectroscopy, fluorescence analysis, 1H-NMR analysis, mass spectroscopy, DFT study and Job plot analysis. For practical applications, the binding of NCP with OCl? and Cu2+ was determined using a dipstick method and a cell imaging study in a physiological medium using green gram seeds. 2024 The Royal Society of Chemistry.
creator: Kumar M.S.; Vishnu S.; Dolai M.; Nag A.; Bylappa Y.; Das A.K.
source: Analytical Methods, Vol-16, No. 5, pp. 676-685.
publisher: Royal Society of Chemistry
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 17599660; PubMed ID: 38189149| LS; 2023-2024; Vol-1; 0091-0100
format: Online
language: English
type: Article
coverage: Kumar M.S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Vishnu S., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Dolai M., Department of Chemistry, Prabhat Kumar College, Contai, W.B., Purba Medinipur, 721404, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Bylappa Y., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Das A.K., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India

Green synthesized cobalt nanoparticles from Trianthema portulacastrum L. as a novel antimicrobials and antioxidants
subject: Animal biotechnology; antibacterial; antifungal; antioxidant; cobalt nanoparticles; environmental biotechnology; Trianthema portulacastrum
description: Trianthema portulacastrum is a dietary and medicinal plant that has gained substantial importance due to its pharmacological properties. This plant was used for its various healing properties since the ancient period in ayurvedic system of medicine. The green synthesis technique is an eco-friendly as well as cost effective technique which can produce more biocompatible nanoparticles when compared with those fabricated by physio-chemical methods. Therefore, nanoparticles produced by green synthesis are credible alternatives to those which are produced by conventional synthesis techniques. This research mainly aims to produce nanoparticles with the methanolic leaf extract of T. portulacastrum. The optimized nanoparticles were further analyzed for anti-fungal, anti-bacterial and antioxidant properties. Disk diffusion assay was used for the determination of the antimicrobial property and on the other hand, DPPH radical scavenging assay as well as hydrogen peroxide scavenging activity proved the antioxidant property of the formulation. The study revealed that Escherichia coli (gram negative strain) shows greater zone of inhibition when compared with Bacillus subtilis (gram positive bacteria). The nanoparticles have also been reported to show significant anti-fungal activity against the strains of Aspergillus niger and Fusarium oxysporum which proves its desirability for its further use against both bacterial as well as fungal infections. The novel formulation can be explored dually as antimicrobial and antioxidant agent. 2023 Taylor & Francis Group, LLC.
creator: Prakash A.; Sur S.; Dave V.; Sharma P.; Das S.; Roy P.; Hegde G.
source: Preparative Biochemistry and Biotechnology, Vol-54, No. 3, pp. 328-342.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 10826068; PubMed ID: 37493403; CODEN: PBBIF
format: Online
language: English
type: Article
coverage: Prakash A., Department of Bio-science and Biotechnology, Banasthali Vidyapith, Rajasthan, India; Sur S., Department of Pharmaceutical Technology, School of Medical Sciences, Adamas University, Kolkata, India; Dave V., Department of Pharmacy, School of Health Science, Central University of South Bihar, Gaya, India; Sharma P., Department of Home Science, Mahila Mahavidhyala, Banaras Hindu University, India; Das S., Department of Chemistry, University of Engineering and Management, Kolkata, India; Roy P., GITAM School of Pharmacy, GITAM (Deemed to be University), Visakhapatnam, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bengaluru, India, Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India

Hockey among the Indigenous Tribes of Sundargarh, Odisha
description: [No abstract available]
creator: Dungdung A.; Sarkar S.
source: Economic and Political Weekly, Vol-58, No. 48, pp. 72-73.
publisher: Economic and Political Weekly
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 129976
format: Online
language: English
type: Article
coverage: Dungdung A., Department of Political Science, International Relations and History, CHRIST, Bengaluru, India; Sarkar S., Department of Political Science, International Relations and History, CHRIST, Bengaluru, India

SPREADING RELIGION AND CULTURE THROUGH INTERNET MEMES
subject: Digital Culture; Ethical Memes; Internet Memes; Participatory Culture; Religious Memes
description: This paper delves into the use of Internet memes as a means of spreading religion and ethical values in modern society. With the rise of the Internet and social media, memes have gained popularity as a form of shared content with the ability to convey meaningful messages. The research evaluates the prevalence and impact of memes in religious and ethical contexts. Through this research, the authors present their viewpoint after mulling over the findings of authors like Limor Shifman. The study asserts that memes can facilitate discussions, promote religious literacy, reinforce beliefs, and instil ethical values. Additionally, it anticipates that religious and ethical memes may influence individuals' actions in their daily lives. This research is significant as it examines the potential of memes to serve as a contemporary tool for spreading religion and ethics in a digital world. 2023 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore),.
creator: Rathi N.; Jain P.
source: Journal of Dharma, Vol-48, No. 4, pp. 531-548.
publisher: Dharma Research Association
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 2537222
format: Online
language: English
type: Article
coverage: Rathi N., CHRIST (DEEMED TO BE) University, Commerce Department, Bangalore, India; Jain P., CHRIST (Deemed to be University), Bangalore, India

Isothermal autocatalysis of homogeneousheterogeneous chemical reaction in the nanofluid flowing in a diverging channel in the presence of bioconvection
subject: differential transformation method; diverging channel; Gyrotactic microorganisms; heterogeneous reactions; homogeneous reactions; quartic autocatalysis
description: The nonlinear differential equations play a prominent role in the mathematical description of many phenomena that occur in our world. A similar set of equations appear in this paper that govern the homogeneous and heterogeneous chemical reactions in the nanofluid flowing between two non-parallel walls. Since the concentration of the homogeneous species is substantially high, quartic autocatalysis is considered for the analysis. It is found to be more effective than the cubic autocatalysis. Further, to avoid the deposition of nanoparticles on the surface, self-propelled microorganisms called gyrotactic microorganisms are allowed to swim in the nanofluid. This movement of microorganisms constitutes a major phenomenon called bioconvection. The set of governing equations thus formed are made dimensionless and the resulting system of equations are solved by Differential Transformation Method (DTM) with the help of Padapproximant that reduces the power series into rational function. This transformation helps in achieving a better convergence rate. The fluid flow analysis is interpreted through graphs and tables where it is observed that the heat source enhances the temperature of the nanofluid. Further, the homogeneous and heterogeneous chemical reaction parameters have significant impacts on the concentration of the reactants. Also, the outcomes indicated that the reaction profiles and motile density profiles increase with the increase in Schmidt number. 2021 Informa UK Limited, trading as Taylor & Francis Group.
creator: Khan M.I.; Puneeth V.
source: Waves in Random and Complex Media, Vol-34, No. 6, pp. 5438-5458.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17455030
format: Online
language: English
type: Article
coverage: Khan M.I., Laboratory of Systems Ecology and Sustainability Science, College of Engineering, Peking University, Beijing, China, Department of Mathematics and Statistics, Ripah International University, Islamabad, I-14, Pakistan; Puneeth V., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India

Nonlocal thermoelastic waves inside nanobeam resonator subject to various loadings
subject: Kernel functions; memory influence term; nano-beam; non-local effect; ramp type heating; time-delay; time-dependent load
description: The present article focuses on the new meticulous model based on the postulate of memory-dependent derivatives to analyze the thermo-mechanical interactions inside the nano-beam-based machined resonators. Also, the size effect on dynamic responses of thermoelastic vibrations of homogeneous and isotropic nano-beam is considered. The fundamental expressions are formulated in the frame of non-local generalized thermoelasticity with paired relaxation times by operating the results of Euler-Bernoulli beam theory, non-local effect, and memory-dependent derivative. The proposed model is applied to study the nano-beam-based machined resonator subjected to the ramp-type heating and exponentially decaying time-dependent load. Closed-form solutions of the physical fields are examined by applying the Laplace transform mathematical mechanism. However, the coherence of the new thermal conductivity framework, a collation has been bestowed among the results obtained in the presence or absence of the memory-dependent derivative; also, the size effect is analyzed on the significant parameters of nano-beam such as deflection, temperature, displacement as well as bending moment. Moreover, the prominent influence of the distinct affecting parameters such as constituents of memory-dependent derivative (kernel function and time delay) and ramping time parameter with an applied load on the physical fields have been investigated with the help of quantitative results. 2022 Taylor & Francis Group, LLC.
creator: Tiwari R.; Saeed A.M.; Abouelregal A.; Singhal A.; Salem M.G.
source: Mechanics Based Design of Structures and Machines, Vol-52, No. 1, pp. 215-238.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 15397734
format: Online
language: English
type: Article
coverage: Tiwari R., Department of Mathematics, Nitishwar College, A constituent unit of Babasaheb Bhimrao Ambedkar Bihar University, Bihar, India; Saeed A.M., Department of Mathematics, College of Science, Qassim University, Buraydah, Saudi Arabia; Abouelregal A., Department of Mathematics, College of Science and Arts, Jouf University, Al-Qurayyat, Saudi Arabia, Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, Egypt; Singhal A., Department of Computational Sciences, School of Sciences, Christ (Deemed to be University) Delhi NCR, Uttar Pradesh, Ghaziabad, India; Salem M.G., Department of Mathematics, Faculty of Science, Mansoura University, Mansoura, Egypt

Development of the House of Collaborative Partnership to overcome supply chain disruptions: evidence from the textile industry in India
subject: case study; House of Collaborative Partnership (HCP); supply chain collaboration; Supply chain disruptions; textile industry; total interpretive structural modelling
description: Collaboration in a supply chain becomes a significant competitive weapon for member firms in an uncertain business environment. The present study develops a model of supply chain collaboration named as House of Collaborative Partnership (HCP) and includes the enablers and impeders of a successful Collaborative Partnership (CP). Model development follows a three-phase process. The first phase consists of the identification of enablers and impeders of CP based on the literature review and experts opinions. The second phase applies Total Interpretive Structural Modelling (TISM) as a tool to construct hierarchical structures of the enablers and impeders of CP. The third phase deals with the development of HCP based on the hierarchical structures of enablers and impeders. The HCP is then validated with two case studies in the Indian textile industry. Eight enablers and seven impeders were identified in the first phase. After analyzing these factors with TISM, the HCP was developed consisting of four parts: Foundation, Columns, Beam, and Roof. The existence of trust, commitment to long-term collaboration, top management support, adequate financial support, ability to deal with technological changes, and providing regular training to employees constitute the HCP Foundation to achieve supply chain collaboration. The study concludes with the managerial implications of HCP to help supply chain partners in becoming resilient during an uncertain business environment. 2022 Informa UK Limited, trading as Taylor & Francis Group.
creator: Patel B.S.; Nagariya R.; Singh R.K.; Sambasivan M.; Yadav D.K.; Vlachos I.P.
source: Production Planning and Control, Vol-35, No. 8, pp. 770-793.
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 9537287; CODEN: PPCOE
format: Online
language: English
type: Article
coverage: Patel B.S., Thiagarajar School of Management, Madurai, India; Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, Ghaziabad, India; Singh R.K., Management Development Institute (MDI), Gurgaon, India; Sambasivan M., Thiagarajar School of Management, Madurai, India; Yadav D.K., National Institute of Technology Calicut, Calicut, India; Vlachos I.P., Excelia Business School, La Rochelle, France