Browse Items (16481 total)
Sort by:
-
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 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. -
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. -
-
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. -
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. -
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 -
Constructing South Asian reproductive risk
[No abstract available] -
Constructing healing narratives: a culturally grounded intervention for tribal women survivors of intimate partner violence in India
Intimate partner violence (IPV) profoundly disrupts womens sense of self, relationships, and belonging, with particularly severe consequencesfor marginalized and indigenous women. This paper reports findingsfrom a pilot study on the development and preliminary implementationof a culturally grounded mental health intervention for tribal women survivors of IPV in Wayanad, Kerala, India. The intervention was developed in response to the limited cultural relevance of main stream trauma-focused models in indigenous contexts and was informed by constructivist, psychodynamic, narrative, and cognitive-behavioural principles. Ten tribal women aged 1850 participated in a five-session group-based programme that integrated indigenous cultural expressionssuch as folk songs, rhythmic movement, clayart, and storytellingwith therapeutic processes aimed at meaning-making, emotional regulation, and identity reconstruction. Sessions emphasized symbolic expression and collective reflection, enabling participants to externalize traumatic experiences and renegotiate personal narratives within a culturally familiar and emotionally safe space. Qualitative reflections indicated notable shifts from shame, self-blame, silence, and social isolation toward emerging narratives of resilience, agency, and connection. Participants reported enhanced emotional expression, strengthened coping strategies, and increased community support. Overall, the findings underscore the feasibility and cultural relevance of art-based, constructivist interventions for tribal women survivors of IPV. Future research should employ larger samples and mixed-methods designs to assess long-term outcomes and adaptability across diversetribal contexts. 2025 Informa UK Limited, trading as Taylor & Francis Group. -
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. -
Constructing an aggregate financial cycle for India: an analysis of key financial indicators
Purpose This paper aims to develop a financial cycle for India by aggregating key financial indicators from different sectors of the financial system and then comparing it with the business cycle to understand the macroeconomic implications. Design/methodology/approach The research uses various econometric tests to analyze the relationship among the financial indicators before applying the principal component analysis and filtering technique to extract the aggregate financial cycle. After this, the dynamic conditional correlation generalized autoregressive conditional heteroscedasticity model is applied to understand how it interacts with the economy. Findings The result of this study creates an aggregate financial cycle that effectively reflects the most influential components of the financial system, empowering policymakers to measure and safeguard the stability of the financial system and economy. Originality/value The authors contribution lies in the systematic integration of key indicators into a comprehensive aggregate financial cycle for India, which has not been thoroughly explored in existing research. This study also emphasizes the significance of banking sectors and other financial intermediaries that were undermined in the existing financial cycle studies. 2025 Emerald Publishing Limited -
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. -
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. -
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. -
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. -
Constitutional crossroads in India: perspectives from federal constitutional history on allocating competency over public health
This article examines the nascent proposal in India advising that public health should be shifted from the exclusive state legislative list to the concurrent legislative list of the Constitution of India. This proposal raises complex constitutional, administrative, and political questions animating federal democracies about the roles of various levels of government in public health policy, administration and delivery. Unfortunately, the 15th Finance Commission (supported by other entities) does not provide full reasons for their proposal, or the constitutional, administrative and political dimensions of this proposal. In this context, this paper attempts to throw some light on the constitutional history of public health being a state subject in India, by examining seven pre-independence constitutional documents that briefly but clearly addressed the subject. All the constitutional documents illustrate how public health was at first devolved, thereafter distributed to state competency, and eventually settled for exclusive state competency. However, colonial administrators raised a constant caveat that devolution/distribution of powers over the subject should not deter the coordination of the subject. It is suggested that this caveat should inform the future debate on whether health should be a state or concurrent subject, especially since coordination is not possible unless the centre also has a minimum of legislative competency over the subject. The actual subjects/topics on which coordination in the field of public health is necessary is a matter appropriate for discussion and determination by public health professionals. 2026 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
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). -
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. -
Considering Cultural Responsiveness in the Creation of the International Competences for Undergraduate Psychology (ICUP) Model: What Can Psychology Learn?
This article aims to describe the development of foundational competencies relevant to cultural responsiveness (CR), within the context of the International Competences for Undergraduate Psychology (ICUP) model (Nolan et al., 2025). The underlying premise of the ICUP model is that the acquisition of undergraduate-level foundational psychology competences can and should have high value in personal, work, and community contextsregardless of graduate career destination. A targeted background on CR is given, followed by brief descriptions of the International Collaboration on Undergraduate Psychology Outcomes (ICUPO) project (which created the ICUP model; International Collaboration on Undergraduate Psychology Outcomes, n.d.) and of the CR competences themselves. Then, procedural aspects of the ICUPO project relevant to CR are described, followed by quantitative and qualitative approaches to exploring the CR of the diverse ICUPO Committee members. The findings are discussed in terms of implications for (a) psychology educatorsin particular, they need to possess the capacity to be culturally responsive in order to be able to support students in acquiring or improving their own CR; (b) psychology education leaders undertaking undergraduate curricular renewal; and (c) the sustainable future of the discipline of psychology. 2025 American Psychological Association