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Consolidation of Cloud Computing in Smart and Sustainable Environment
Cloud computing has revolutionized IoT device data collection, administration, and analysis by offering a scalable and sustainable solution for managing vast amounts of data. The paper highlights cloud computing's benefits in data processing, device management, cost efficiency and scalability. However, challenges related to security, data ownership, and vendor lock-in require attention. A novel sustainable cloud-IoT model is presented by integrating smart computing with cloud infrastructure. It is observed that the model records promising performance. The mean response delay is 1.9 seconds and the 89.5% is the generated mean computational storage accuracy rate. In conclusion, the cloud computing empowered sustainable model can be used in organizations to gain insights from IoT data and make informed decisions, shaping future research in this rapidly evolving field. 2023 IEEE. -
Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA): A developmental cohort study protocol
Background: Low and middle-income countries like India with a large youth population experience a different environment from that of high-income countries. The Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA), based in India, aims to examine environmental influences on genomic variations, neurodevelopmental trajectories and vulnerability to psychopathology, with a focus on externalizing disorders. Methods: cVEDA is a longitudinal cohort study, with planned missingness design for yearly follow-up. Participants have been recruited from multi-site tertiary care mental health settings, local communities, schools and colleges. 10,000 individuals between 6 and 23 years of age, of all genders, representing five geographically, ethnically, and socio-culturally distinct regions in India, and exposures to variations in early life adversity (psychosocial, nutritional, toxic exposures, slum-habitats, socio-political conflicts, urban/rural living, mental illness in the family) have been assessed using age-appropriate instruments to capture socio-demographic information, temperament, environmental exposures, parenting, psychiatric morbidity, and neuropsychological functioning. Blood/saliva and urine samples have been collected for genetic, epigenetic and toxicological (heavy metals, volatile organic compounds) studies. Structural (T1, T2, DTI) and functional (resting state fMRI) MRI brain scans have been performed on approximately 15% of the individuals. All data and biological samples are maintained in a databank and biobank, respectively. Discussion: The cVEDA has established the largest neurodevelopmental database in India, comparable to global datasets, with detailed environmental characterization. This should permit identification of environmental and genetic vulnerabilities to psychopathology within a developmental framework. Neuroimaging and neuropsychological data from this study are already yielding insights on brain growth and maturation patterns. 2019 The Author(s). -
Constraining the physical parameters of XTE J1701-462 through NuSTAR observations
The spectral properties of the transient neutron star low-mass X-ray binary XTE J1701-462 were studied using the data obtained from FPMA/B detectors onboard NuSTAR during its second known outburst (2022 September). The physical parameters of the system were derived from the analysis of the data in the 3.0-30.0 keV energy range. The patterns displayed on the hardness-intensity diagram of the three observations closely resembled the banana branch/normal branch, a vertex of horizontal and normal branch of the Z-track and a transition from normal branch to flaring branch. Spectral analysis of the source revealed the presence of Fe K emission complex. The source spectra were fitted with a multitemperature blackbody () component in conjunction with the reflection model (). The values of temperature (kTin) and radius (Rin) of the inner accretion disc obtained from the spectral fitting with the model combination - + showed the source to be in its soft spectral state during the observations. The inclination angle (?) of the source was estimated to be between 19 and 33 and the inner disc radius (Rin) was found to be 17.4 km. Assuming the case of magnetic truncation of accretion disc, the upper limits for the magnetic dipole moment (?) and the magnetic field strength (B) at the poles of the neutron star in the system were found to be 5.78 1026 G cm3 and 8.23 108 G, respectively, for kA = 1. 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. -
Constraint Governed Association Rule Mining for Identification of Strong SNPs to Classify Autism Data
Autism is a heterogeneous neuro developmental disorder found among all age groups. Nowadays more patients are detected with autism but very less awareness is prevailing in the society related to it. This paved a way for many researchers to carry out serious study on autism and its characteristics. Studying behavior and characteristics of Autistic patients is very important for diagnosing the level of autism. Classifying the association of different characteristic in autistic patients at gene level using machine learning techniques can give an important insight to the doctors and the care takers of the patients. Research is being carried out to identify the genes responsible for autism. The changes in gene sequence may lead to different characteristics in different people. Thus genotypic research is found to reveal well defined insight about various characteristics in autistic patients and their associations with genes. Single Nucleotide Polymorphism (SNP) being high in features indicate human genome variability and is associated with identification of traits for many human diseases including autism. The main aim of the proposed work is to identify SNP sequences which are responsible for carrying the autistic traits. This paper explore the application of Constraint Governed Association Rule Mining (CGARM) technique on SNP data for dimensionality reduction and thereby selecting the strong predominant SNP features which are relevant enough to accomplish classification with high accuracy. The research work incorporates the application of CGARM and is carried out in two stages. In the first stage CGARM was used to choose significant SNP features resulting in dimensionality reduction. In the second stage classification was carried out by subjecting the selected features to Artificial Neural Network (ANN) algorithm. The main advantage of the proposed work is its ability to reduce the dimensions without compromising the quality i.e. using CGARM strong SNPs were selected by applying various constraints like Syntactical constraints, Semantical constraints and Dimensionality Constraints resulting in higher accuracy. The CGARM technique is applied on Autism data collected from National Center for Biotechnology Information (NCBI) repository. The data is divided into a set of 118 features, out of 118 features CGARM contributed in identifying 22 predominant SNPs. Further by applying forward selection method top 17 features were selected and were given as input to ANN. The 10 fold cross validation resulted in 76.9% accuracy which was found to be 50% more than that of original features. The proposed work contributed in reducing the dimension by 85% and provided 76.9% accuracy with the help of only 15% features. 2020 IEEE. -
Constraints on the Labour Market Trajectory of Youth and Growth of NEET in India
This paper explores the trends, composition, and determinants of the rising Not in Employment, Education and Training (NEET) population in India. Based on the national level employment-unemployment surveys and macro level panel data, and using instrumental variable (IV) Probit and system generalized method of moments (GMM) regression models, it is explored that a set of supply and demand side factors determining the growth of NEET population in India. At the micro level, the individuals level of general education, technical and vocational training, gender, occupation and gender of head of the family, religion, standard of living of the family, earnings of the spouse, and a set of complex socio-cultural factors determine the NEET status of educated and trained youth. On the other hand, the macro level factors, including the growth of mechanization in agriculture, stagnant real wages, sluggish non-farm sector output growth, infrastructural backwardness, and the existing social-cultural setup in which educated youth live together create a negative macro level environment that compels them to remain out of the workforce for a longer period even after completion of their education/training. Based on these results, it is argued that policies aiming at the development of infrastructure along with the promotion of industry and modern service sectors should be given the top priority for checking the upsurge in the NEET population in India. 2023 XLRI Jamshedpur, School of Business Management & Human Resources. -
Construct modelling, statistical analysis and empirical validation using PLS-SEM: a step-by-step guide of the analysis procedure
Partial least square-structured equation modelling (PLS-SEM) is a widely accepted tool for statistical analysis in social science research. The complex architecture of PLS-SEM sometimes makes it difficult for users to understand the taxonomy, nomenclature, or process of statistical analysis. This research study proposes summarising the procedure adopted in PLS-SEM for data analysis. Measurement evaluation and structural model was the subject of discussion, with a focus on the statistical techniques employed. Furthermore, the threshold values corresponding to statistical tools under measurement and structural model were also provided. The inference of these threshold values were also discussed with an eye on improving researchers awareness and understanding. The discussion about the methodology adopted in statistical analysis with the help of PLS-SEM is also reported. Finally, the limitations of the research work were presented, and further study directions were streamlined. 2024 Inderscience Enterprises Ltd. -
Constructing an e-commerce model using the framework of blockchain
Blockchain technology is gaining immense popularity in the realm of online e-commerce, advertising, and consumerism. This study aims to develop a model that comprehends how blockchain can act as a significant disruptor for various functions and applications related to e-commerce. The research explores the possibility that this technological advancement has the potential to revolutionize the core operations of e-commerce industry by providing trade connections devoid of trust or need for specialized intermediaries or central authority in case of permission less blockchains. Furthermore, it could facilitate equitable access to immutable data across supply chains which may result in a major reorganization pertaining to information and value exchanged between businesses involved in electronic commerce and their customers. 2024, IGI Global. All rights reserved. -
Construction and validation of next generation teacher educator competency scale [NGTECS]
The article presented here is a part of the major research project conducted in India from 2016 through 2020. Teacher education in India in the last six decades underwent many reforms in terms of policies, assessment, field experience patterns, and training pedagogy. Teacher educators invariably implemented all the suggested changes. However, it lacked the rigour in implementation. At the same time with the advancement of technology, the student population is native to technology and had newer attitudes towards learning. Researcher felt that, the Teacher educators competencies are to be revisited and may come up with a new list of competencies which are helpful to the next generation. It is with this intent this major research project was planned. The purpose of the project was to come up with the list of competencies for teacher educators which are helpful for training the next generation teacher trainees and to measure those competencies. Therefore, the study resorted to adopt exploratory research design. This article explains the step wise procedure on construction of next generation teacher educator competency scale. It also explains the procedures of validity and reliability established for the scale. The study brought out a Likert type of scale to measure next generation teacher educator competency and has simple administration procedures. The scale was found to be highly reliable based on Cronbach's alpha internal consistency coefficient. Though the study is exploratory in nature, yet confirmatory factor analysis was carried out and is found to be in agreement with the evolved factors. The scale may be used to measure the extent to which the next generation teacher educator competencies are possessed by a teacher educator. Copyright 2020 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License -
Construction of a waste-derived graphite electrode integrated IL/Ni-MOF flowers/Co3O4 NDs for specific enrichment and signal amplification to detect aspartame
A novel and cost-efficient electrochemical sensor was designed by immobilizing IL/Ni-MOF/Co3O4 nanodiamonds on the graphite (GE) electrode, marking the first application for the detection of aspartame. The graphite electrode was extracted and recycled from discharged batteries to serve as a working electrode. The nanocomposite features unique Co3O4 nanodiamonds, generated using Coriandrum sativum seed extract, alongside Ni-metal organic framework (MOF), which were synthesized through a solvothermal method. The conductivity and stability of the electrochemical sensor were enhanced through the incorporation of the ionic liquid (IL) ([BMIM][MeSO4]. The phytochemical profile of Coriandrum sativum seed extract, analyzed by GC-MS, identified key compounds involved in the synthesis of Co3O4 nanodiamonds. A comprehensive characterization of the nanocomposite was performed using UV-Vis, FTIR, DLS, Zeta potential, XRD, XPS, FE-SEM, TEM, optical profilometry, and AFM to confirm the structural and elemental modifications. Electrochemical characterization of the bare and modified electrodes was conducted through cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The GE/IL/Ni-MOF/Co3O4 nanodiamonds modified electrode displayed enhanced electroanalytical performance for aspartame detection, characterized by signal amplification at +7.0 V. Quantitative analysis by Differential Pulse Voltammetry (DPV) and Square Wave Voltammetry (SWV) revealed a linear detection range of 315 M for aspartame. A comparison of SWV and DPV revealed superior analytical performance for SWV, with limit of detection (LOD) and limit of quantification (LOQ) values of 1.02 M and 3.1 M (R2 = 0.993) compared to 1.81 M and 5.5 M (R2 = 0.986) for DPV. This study reveals the excellent adsorption capabilities of Ni-MOF and Co3O4 nanodiamonds (Co3O4 NDs), attributed to their high porosity and large surface area, paving the way for the development of affordable sensing devices for artificial sweeteners. 2024 Elsevier B.V. -
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Construction of multifunctional hyaluronic acid modified gold nanoparticles clocked with Irinotecan and indocyanine green: Investigation of chemotherapy and cancer cell imaging
To overcome the inherent limits of conventional cancer therapy, there is an immediate need to establish multifunctional drugs that combine accurate diagnosis with treatment. The work describes a small nanocomposite's mild and easy fabrication, including Irinotecan, folic acid, hyaluronic acid, and indocyanine green-integrated gold nanoparticles. The gold nanoparticles with indocyanine green integrated (HA@ICG/Au) were developed in one step for photodynamic treatment and biological fluorescence imaging. Both the drug delivery of Irinotecan and the enhancement of cellular selectivity are achieved by the hyaluronic acid-altered ICG/Au (HA@ICG/Au). To regulate the release of Irinotecan during tumour chemotherapy, the dual-targeted and pH-responsive system known as HA@ICG/Au:FA@IRI was developed. The nanocomposite composed of HA@ICG/Au:FA@IRI had a tiny surface area and was highly efficient at encapsulation and loading drugs. In an acidic milieu, the nanocomposite showed excellent biocompatibility, colloidal stability, photostability, and a rapid cumulative release rate. The improved cellular uptake of HA@ICG/Au:FA@IRI for fluorescence imaging was validated by fluorescence microscopy in vitro. The nanocomposite showed impressive cancer cell death when exposed to laser irradiation using a combination of synergistic chemotherapy and photodynamic treatment (PDT). Taken as a whole, the results show that the nanocomposite was successfully developed to target tumors in two different ways, resulting in a potentially helpful theranostics agent. 2025 Elsevier B.V. -
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Construction of Prime Time Television News Discussions
Studies in the western context have shown consistent observations of Television News being one of their prime modes of news and current affairs in the past. In India, watching the news has been an age-old requirement, for many reasons. English news in a non-native English-speaking country like India has encouraged citizens to learn the language, engage in focused viewership and rely on Television news for stories, news, views, and the episodic reality. Ever since news reception was transitioned to the realm of social media and new media, Television prime time news strived to be in the limelight. To understand the existence of prime time news, the study focused on two objectives : to identify constituents of communicative techniques framed in prime time news discussions of Indian English Television News Channels and to establish the role of prime time News Discussions as creators of complex news narratives. With the help of Critical Discourse Analysis (CDA) as the umbrella theory, Multimodal Discourse Analysis (MDA), and Stuart Hall s Encoding and Decoding, the research progressed to understand the ways and means to analyse news. Each of the episodic news presentations from 5 December 2017 to 13 December 2017 pertaining to prime-time news debates of Republic TV and Times Now were used. were analysed using a qualitative method of textual analysis. The manifestation of all cues on the screen were deconstructed to comprehend their existence. Each episode was connotatively derived to understand conversations and use of graphics. There are multiple findings under each of the units. On understanding the manifestation and intermingling of various units of analysis with each other, it was unanimously concluded that polarization of opinions is the key to engage a concise news narrative of the day. Whilst important news is not the source, political debates, underestimation, and complex visualization enhance the brand name of the news channel. -
Construction of Sorafenib Tosylate and Etoposide-loaded Liposomes: A Path to Precision Liver Cancer Therapy and its Apoptosis Induction
Nanotechnology is an effective tool in fighting against cancer, playing a crucial role in investigating and fabricating novel anticancer drugs. Recognizing the worldwide prevalence of cancer, we combined sorafenib tosylate (ST) and etoposide (ETP) within liposomes. We assessed their ability to kill human umbilical vein endothelial cells (HUVECs) and HepG2 liver cancer cells. The liposomes effectively contained ST and ETP, exhibiting a particle size distribution below 180nm, a polydisperse index (PDI) below 0.2, a spherical shape, a strong negatively charged zeta potential, and encapsulation efficiencies of 59% for ST, 88% for ETP, and 57% for ST combined with 87% for ETP. The FTIR analysis indicates that the drugs were incorporated within liposomes. Encapsulation of the drugs in liposomes resulted in a more significant cytotoxic impact on HepG2 cells and a reduced cytotoxic impact on HUVECs. The morphological assessment of the HepG2 liver cancer cells was investigated using AO-EB and Hoechst 33258 staining methods. Apoptosis mechanisms of HepG2 cells were examined by Annexin V and PI dual staining. Furthermore, the coadministration of ST and ETP, which were enclosed in liposomes, resulted in a synergistic impact on the drugs, leading to cell death by apoptosis. 2024 Wiley-VCH GmbH. -
Construction of Teachers' Personal Commitment Scale: Validity and Reliability Analysis
Indian Streams Research Journal, Vol-3(12), pp.1-6. ISSN-2230-7850 -
Construction of Virtual Simulation Practice Teaching Platform for Business Majors Based on Fuzzy Control Algorithm
Simulation plays an important role in control research. Information technology and various related technologies, the research of simulation technology is also deepening. At present, there is no unified platform for the design and simulation of adaptive fuzzy controller, and the simulation algorithms of various controllers are different. With the strong advocacy of national education departments, virtual simulation technology has been widely used in academic education, and has gradually become an important means to improve traditional teaching. Cross-professional comprehensive training of business has almost become the preferred course of combining theory with practice in general colleges and universities. It requires students from different majors to participate together, cooperate and communicate deeply in teams, and compete and confront each other among groups, which helps to improve graduates' innovative and entrepreneurial ability. Through teaching practice, the design of teaching system, the joint training between schools and enterprises, and the consideration of virtual and actual combat are further improved. Explain the teaching application of virtual simulation experiment teaching platform. The virtual simulation experiment teaching platform is convenient for students to complete intelligent control experiments, and carry out secondary development and innovative experiments. 2023 IEEE. -
Consumer Adoption Behaviour of Smart, Green, and Sustainable Building Materials for Future Cities and Environment: Extension of UTAUT 2 Model
This study explores various factors that influence the consumers intention to adopt smart, green, and sustainable building materials in Bangalore city, Karnataka, India. The purpose of this study is to evaluate how consumers actual adoption behaviour of smart, green, and sustainable building materials is influenced by their behavioural intentions. A standardized questionnaire was utilized to collect data from 382 homebuilders in Bangalore as part of a descriptive research study. A simple random sampling technique was used along with Structural equation modelling (SEM) was employed to test hypotheses framed. Findings indicate that availability and accessibility, awareness, epistemic values, and technology adoption propensity all positively affect subjective norms. Subjective norms positively impact behavioural intention and adoption behaviour. However, challenges in adoption influenced subjective norms negatively, thus hindering consumer adoption. Awareness had the greatest influence on subjective norms, emphasizing the need for increasing consumer awareness. Subjective norms successfully mediated the relationship between independent factors impacting behavioural intention and adoption behaviour. Significant indirect effects of awareness via subjective norms on Behavioural intention were observed. This study highlights the need of increasing social awareness and cultivating a positive view of social expectations in order to promote the widespread use of smart, green, and sustainable building materials, which will eventually result in long-term sustainable cities and surroundings. 2024 The Author(s). -
CONSUMER BUYING PSYCHOLOGY AND BRAND PERCEPTION: INFLUENCE OF WORD OF MOUTH COMMUNICATION
Word-of-mouth Communication (WOM) has recently gained momentum in almost every operating industry in the world. WOM can be seen as a firms intentional influencing of consumer-to-consumer communications about the firms products. This studys primary objective was to determine whether there was any significant relationship between Word-of-mouth communication and Consumer buying behaviour specificity to the Indian cosmetics industry. The study was conducted with a sample size of 163 women, hailing mainly from South Indian cities, out of which Bangalore was predominant. The results of this study are to the Indian urban/metro population. The research eventually concluded a significant correlation between WOM and Consumer buying Behaviour, wherein consumer behaviour was measured in terms of Brand Perception, Search & Evaluation effort, and Risk Reduction. WOMs correlation with each of these aspects was positive and high, indicating a direct and strong relationship. 2020. All Rights Reserved. -
Consumer Characteristics and Consumption Patterns of Soft Drinks
A soft drink is generally treated as very common product aimed at a very casual consumption. Normally, not much of attention is paid to this product, which has almost become 'commoditized'. But, a deeper and more careful observation would reveal that soft drinks are strong demographic descriptors of their consumers. Key insights into the characteristics and consumption patterns of consumers can be obtained through an incisive study of the soft drinks market. This research paper makes a concerted effort at unearthing the demographic details and consumption contours of the soft drink users in Kanpur, Agra, Varanasi, Allahabad, and Lucknow - the five representative cities of Uttar Pradesh, the most populous state of India. It has been conclusively established through this research that the residents of these five cities - which are demographically similar in nature - exhibit varying consumption patterns when it comes to soft drinks. It was also found that demographic variables like age, gender, educational qualification, income, and marital status do not significantly impact the consumption of soft drinks, whereas employment status is a key influencer of the same. 2021 IEEE. -
Consumer ethnocentrism and buying intentions on OTT platforms
This research delves into how OTT platforms are transforming media consumption patterns and explores the role of consumer ethnocentrism in shaping buying behaviors within this context. Through a literature review and quantitative research methodology using a Likert-scale questionnaire, the study investigates the relationship between consumer ethnocentrism, buying intentions, and various influencing factors on OTT platforms. Contrary to expectations, the findings show that consumer ethnocentrism has minimal impact on buying behavior. Instead, factors such as price, content variety, personalized recommendations, cultural alignment, ease of platform usage, familiarity with foreign content, and language preferences are crucial in determining viewers' buying intentions. The chapter concludes by recommending that OTT platforms integrate cultural sensitivities into their strategies to better cater to diverse viewer preferences, thereby enhancing market competitiveness and audience engagement. 2024, IGI Global.