Browse Items (472 total)
Sort by:
-
Aspect Based Multi Classification for Text Mining Using Neural Attention Model
Aspect-based text classification is crucial for multi-classification in e- commerce, including diverse sectors like food, online shopping, and restaurants. Traditional research often focuses on a few classes and domains, such as restaurants or electronics, and overlooks the need to categorize sentences based on domain- specific contexts. However, e-commerce involves numerous domains that require more sophisticated classification methods. E-commerce platforms generate vast amounts of textual data, including comments, product descriptions, and customer reviews, which contain valuable information about various aspects of products or services. Since customers often research product reviews from multiple sources before purchasing, these reviews become essential user-generated content for e-commerce businesses. To address this gap, the Aspect-Based Neural Attention Model (ABNAM) was developed. ABNAM enhances classification's accuracy and comprehensiveness by considering each domain's unique characteristics. This leads to better categorization and provides more relevant insights for businesses operating across various e- commerce sectors. Experimental real-world data results demonstrate that ABNAM identifies more meaningful and coherent features. It significantly outperforms other methods by achieving higher accuracy, better recall and precision, and more robust performance across different datasets. The current research introduces an efficient and innovative sentence classification model using ABNAM. Unlike traditional automated text classification models, which struggle to categorize data into sixteen classes, ABNAM excels by leveraging technologies such as TF-IDF, N-Gram, Convolutional Neural Networks (CNN), Linear Support Vector Machines (SVM), Random Forest, and Nae Bayes. Among these methods, ABNAM achieved the highest accuracy at 97%, successfully classifying sentences into one of the sixteen categories. The research positions ABNAM as a novel and highly effective classification model, particularly in achieving high-class categorizations. -
Attitude towards the medical profession among higher secondary students in relation to medical aptitude, parental innfluene, peer influence and perceived social expectations
Attitude towards the medical profession includes concepts, motives or beliefs associated with the profession of medical science. A profession that challenges the intellectual competency of the aspirant to qualify- with soaring expectations from family and society- the demands of the career entail the individual to possess an appropriate attitude and a realistic understanding of it. The current study explores the role of medical aptitude, parental influence, peer influence and perceived social expectations in the formation of attitude towards the medical profession and their differences among higher secondary students based on their gender and type of pre-university college. The study-cum-survey employed a quantitative approach using the paradigm of post-positivism. The participants comprised of 396 second-year pre-university students from colleges of Bangalore South, who were selected by convenience sampling, with Physics, Chemistry and Biology as their core subjects. The findings reveal peer influence to be essential in the development of professionalism and a sense of service mindedness. Parental influence and the higher secondary adolescent s perceived social expectations act as significant predictors in the formation of favourable attitude. However, gender and the type of pre-university colleges bear no significant difference with respect to their attitude towards the profession. The study has set a base on what needs to be focussed in our country on the next generation of medical professionals. It is hoped that educational and medical institutions, policy and curriculum drafters, parents and teachers realise that a combination of sound medical aptitude, parental influence, peer influence and perceived social expectations resonates in the formation of a favourable attitude towards medical science. Assessing those higher secondary students qualifying into medical science would enable to analyse differences that existed, if any, in their entry-level and post-qualifying attitude towards the medical profession. -
Biomarkers of Autistic Study : Biochemical, Genomics, Epigenetics and Cytogenetic Signatures
Autism is a complex disorder characterized by social issues, impaired communication, newlineand repetitive behavior. The prevalence of autism has increased significantly over the past two decades, with an estimated incidence of 1 in 150 children in 2000. Cytogenetic investigations are essential for confirming clinical diagnoses, as the disorder has high phenotypic variability and genetic heterogeneity. A study aims to confirm behavioral phenotypes of autistic subjects newlinein South India using DSM IV and ATEC open questionnaires. The study found that metabolic factors, including hormones, neurotransmitters, and oxidative ions, play crucial roles in the progression of symptoms. The study also revealed the roles of two major causative genes (NRXN1 and CNTNAP2) in a spectrum of genotypes imparting severity and heterogeneity. -
Biotechnological Approaches For the IN - VITRO Production of L-DOPA From Callus Suspension Cultures of Mucuna Pruriens (L.) DC.
Plants are an important source of drugs to treat wide array of disorders due to the newlineproduction of various classes of secondary metabolites which are used as active ingredients to treat and cure diseases. One such commercially important metabolite known as 3,4 dihydroxyphenylalanine (L-DOPA) is used to treat various central nervous system disorders like Dementia, Parkinson s, Alzheimer s, etc. Mucuna pruriens (L.) DC. belonging to Fabaceae family has been used since time immemorial to treat Parkinson s disease and the seeds are the main source of all herbal formulations to treat various disorders of nervous system and male newlinereproductive system. Though the metabolite is present in all parts of Mucuna, seeds possess newlinethe highest concentration and it has become a huge challenge to satisfy the emerging demand newlinefor L-DOPA. This is attributed to the conventional methods of extraction from the natural sources of Mucuna sps., which has a low germination rate, less viable seeds and an irritating, itching trichomes on the pods. The need for an alternative method with continuous supply of L-DOPA without affecting the natural biodiversity has been achieved through in-vitro procedures. But there hasn t been a systematic approach to optimize the cultural conditions for the optimal productivity. Hence in our study, we aimed at selecting an elite germplasm of Mucuna pruriens and growing them in-vitro, along with establishing a callus suspension newlineculture and optimizing the cultural conditions for high biomass and L-DOPA production. Callus was induced by supplementing various plant growth regulators like auxins (IAA, IBA, Picloram, NAA, 2,4-D), cytokinins (Kinetin, BAP, 2-iP and TDZ) and their combinations in different concentrations (0.1, 0.5, 1.0, 2.0, 5.0 and 10.0 mg/L). -
Broken Romantic Relationships: Self-Forgiveness and Attitude Towards Marriage among Emerging Adults
he main aim of the study is to understand the relation between self- forgiveness and attitudes towards marriage, among emerging adults (18-25year olds) who have had a broken romantic relationship using the mixed method explanatory sequential research design. In Phase 1 of the study, 385 College students, (males and females) who had a romantic relationship breakup, were administered the tools for the quantitative part, using google survey, after receiving their consent. The data was subjected to statistical analysis. In Phase 2, an in-depth interview of five males and five females who volunteered, were interviewed in depth using a semi structured interview schedule, for a deeper understanding of the information obtained in Phase 1. The session that was of 60- 90 minutes duration was audio recorded and the data was subjected to Thematic Network Analysis. Findings of Phase 1 study indicates that there is a significant positive correlation between self- forgiveness and attitude towards marriage, except the financial aspect of marriage. Attitude towards marriage and forgiveness varied, based on certain aspects of the romantic relationship. Gender differences are present in certain aspects of attitude towards marriage. There is a positive and significant moderating role of gender in the relationship between dimensions of forgiveness with attitudes towards marriage. The relationship between self-forgiveness and intent to marry is positive and significant, especially for females. In Phase 2 of the study, finding suggests that the romantic breakup which follows a systematic pattern, can be traumatic. Individuals are languishing post breakup as they are unable to forget or forgive the unresolved issues related to the breakup which affects attitude towards marriage. Difficulty forgiving oneself, one s ex-partner and the experience is indicated. -
Characterization and Strength Assessment of Alkali-Activated Iron Ore Tailing Composite Bricks
The current study outlines a process for producing environmentally friendly bricks that can also compete successfully in today's highly competitive market. The use of iron ore tailings (IOT), which are typically disposed of as waste by the mining industry, is the subject of ongoing research for brick production. Bricks were made using IOT, which was obtained from iron ore mines in India's southern region. The study is based on the alkali-activation method of producing IOT bricks, which has been shown to be the most energy-efficient method of production. This is because, in contrast to the traditional method of producing bricks, the alkali-activation method emits fewer greenhouse gases. India has an abundance of iron ore deposits, which has resulted in extensive mining activities, which has resulted in an increase in waste generation, The waste is typically disposed of by being dumped in one of the dumping sites or dams near the mining area. These tailings pose a significant threat to the environment in their immediate vicinity. As a result, the use of IOT in brick manufacturing will reduce the mining industry's waste disposal burden. Furthermore, the use of IOT in the production of bricks will reduce the use of natural raw materials in the production of conventional bricks. Several types of brick composites were developed in this study by combining Ground Granulated Blast Furnace Slag (GGBS), Flyash, and IOT with a sodium silicate solution. Each raw material is analysed using particle size analysis (PSA), X-ray fluorescence (XRF), X-ray diffraction (XRD) and scanning electron microscopy (SEM. The newly developed IOT bricks were put through a series of tests to determine their strength and durability in accordance with Indian standards. The developed IOT bricks had a maximum compressive strength of up to 18.45N/mm2 while water absorption was not more that 12.6%. Furthermore, the bricks were subjected to a series of wetting and drying tests to determine their long-term durability in accordance with Brazilian regulations. Each of the results obtained was validated using microstructure analysis of the product that was developed. Furthermore, the study sought to determine the compression strength of alkali-activated IOT brick prisms when combined with mortar of varying strengths. Finally, it was determined that more than 50 percent of the IOT can be used in combination with GGBS, flyash, and sodium silicate solution as an alkali activator to produce high-quality bricks under ambient temperature curing conditions. -
Classification of Alzheimer's Disease Stages Using Machine Learning Techniques
Alzheimer s disease (AD) is a type of mental disorder which deteriorates the normal functioning of human brain by reducing the memory capacity of an individual. Age is the most common factor for AD and this disease cannot be reversed or stopped. Doctors can only treat the symptoms of AD which include personality changes and brain structural changes. Analyzing neuro-degenerative disorders, neuroimaging plays an important role in diagnosing subjects with AD and other stages of AD. The proposed research identified this gap and using MRI and PET newlineimages for recognizing AD in its early occurrences by the professionals. This helps in tailoring an appropriate treatment procedure for treating AD. As per literature survey, many researchers have worked with convolutional methods like inbuilt skull stripping with two or more conversions and classified with different CNN architectures. The proposed research experimented advanced skull stripping method and classified using deep learning architectures. This research emphasizes the implementation of ResNet50 architecture with T1 weighted MRI and Amyloid PET images for detecting the abnormalities in the brain patterns based on the image attributes. For the proposed experiment, a total of 5000 T1 weighted MRI data and 3000 newlineAmyloid PET data were used. The collected images were pre-processed with noise removal newlinetechniques and skull stripping method. The ResNet50 is used to classify AD from the data newlineobtained from the ADNI dataset. Pre-processed images /data were fed to the tuned for three class classification on ADNI image data at 200 Epochs shows the accuracy of 97.3% for T1 weighted MRI data and 98% for Amyloid PET data. The experimental results of the proposed model prove that it classifies the images according to various stages with better accuracy than the other existing models by achieving excellent results. -
Classification of extragalactic point sources and flux variability characteristics of blazars
Classification of different types of astronomical objects in large surveys usually done through spectroscopy requires enormous amounts of time. Hence, many attempts have been made using broad band photometric magnitudes and spectroscopic observations to classify the sources, particularly extragalactic sources such as active galactic nuclei (AGNs), starburst galaxies and newlinenormal galaxies. However, a method which does not involve spectroscopic data would be ideal. With this in view, in this work we have made an effort to classify a sample of 37,492 point sources into Quasi-Stellar Objects (QSOs), galaxies and stars using template fitting technique and multiwavelength photometric magnitudes from the Sloan Digital Sky Survey (SDSS) and newlinethe Galaxy Evolution Explorer (GALEX) with coverage from the optical (z: 8931 to the far ultraviolet (FUV: 1516 . Templates for QSOs, galaxies and stars were used to fit the data of the objects to the seven photometric bands of SDSS and GALEX. The results were compared with SDSS spectroscopic classification. Two UV bands (NUV and FUV) were included to remove the possible degeneracies in the classification based only on optical bands or in color-color method. UV bands play a crucial role in the classification and characterization of astronomical objects that emit over a wide range of wavelengths, especially for those that are bright at UV. Classification using template fitting method is consistent with spectroscopic methods, provided UV information of the objects is available. UV bands are particularly important for separating quasars and stars, as well as spiral and starburst galaxies. We have achieved the efficiency of 89% for QSOs, 63% for galaxies and 84% for stars. Objects for which spectroscopic data is not available can also be classified using this method which does not require spectroscopic information. -
Clonning and Characterization of An Exported Protein Present in the RD7 Region of Clinical Isolates of Mycobacterium Tuberculosis
The bacterium Mycobacterium tuberculosis is responsible for causing the disease newlinetuberculosis in mammals, which is regarded as one of the oldest diseases haunting the human race. The only available tuberculosis vaccine Bacillus Calmette-Guerine (BCG), is effective against childhood tuberculosis but is regarded as having low efficacy in conferring protection in the case of tuberculosis in adults. A comparison of the M. tuberculosis H37Rv strain and clinical isolates from Kerala had earlier revealed that the clinical strains have a distinctive 4.5 kb genomic sequence that is lacking from the H37Rv strain in the RD7 region. The RD7 is a distinctive genomic region that is absent in M. tuberculosis H37Rv and Mycobacterium bovis BCG strain. The 4.5 kb genomic sequence is projected to include 6 potential ORFs by newlineNCBI ORF prediction tool, one of which Novel Hypothetical Protein (NHP2) is anticipated to encode an exported protein with a length of 268 amino acids. Studies demonstrate that Mycobacterium tuberculosis secretory proteins such as the Ag85 complex, the ESAT-6 family protein, and the PE-PPE family proteins were newlineeffective vaccine candidates because they trigger T cells. Here, we present an indepth analysis of the exported protein, which is 268 amino acids long. The putative exported protein with a gene 807 bp long was PCR amplified and cloned in the expression vector pET-32a for expression. The protein was over expressed using Isopropyl D-1-thiogalactopyranoside (IPTG) and was isolated and purified using column chromatography. Bioinformatics studies were conducted to study the characteristics of the expressed protein. A novel putative mycobacterial protein discovered by subtractive hybridization was studied for its potential as a vaccine candidate using cutting-edge computer technologies. -
Collaboration between gram panchayat and women self-help groups on rural development in karnataka
Mahatma Gandhi said, Indiaand#8223;s development relays on development in rural India. To see a developed India, we must develop villages in India. India is trying to improve the living standard of rural people since Independence. Government, Non-Government Organizations, Voluntary Groups, and many individuals are making continuous efforts for decades to improve rural condition. There is a positive change and growth, but the achieved results are not satisfactory in relation to need, the available resources, opportunities, and the efforts made. What are the root causes of failures? Are there necessary coordination and collaboration among the development efforts to optimize the fruits and minimize the loss of human and material resources? Gram Panchayat Institutions and Self-Help Groups by women are two of major efforts which became very powerful means to empower and develop rural people. The Constitution (73rd Amendment) Act, 1992 became a land-mark by establishing Panchayat Raj Institutions (PRI) in Indiaand#8223;s effort for rural development and reaching out the democracy to grass-root level by newlineforming Panchayat Raj Institutions with three tier system. The Reservation policy of 72nd newlineAmendment Act was another turning point in empowering effort. NGOs initiated Self-Help newlineGroups in India in early 1990s and later Government also supported and promoted the newlineinitiative. Will the Collaboration between the Gram Panchayat Institutions and Women SelfHelp Groups enhance development of rural area through higher level of Community newlineParticipation is the research question here. newlineThere are many writings, studies and evaluations on Gram Panchayat Institutions and SelfHelp Groups by women to assess the existing condition, and to make the efforts more efficient and effective towards rural empowerment and development. Still, studies on impact of collaboration between Gram Panchayat and Women Self-Help Groups on rural newlinedevelopment are missing. -
Community Consciousness and The Construction of Social Honour : A Study Among The Kurds in Finland
Research on honour has recently been overshadowed by discussions surrounding honour-related violence (HRV), particularly honour killings. Typically, inquiries into how the concept of honour, often associated with violent acts, is formed, and expressed on personal or communal levels remain unanswered or are only superficially explored. This study aims to uncover the social structures underlying the concept of honour, demonstrate its manifestation through social interactions, and elucidate how individuals respond to threats against their honour. Because of the many tragic instances of HRV within Kurdish diaspora communities, Kurds and Kurdish culture frequently feature in discussions concerning this phenomenon. Therefore, data for current research has been collected from Kurds living in the diaspora, specifically in Finland. The data were elicited through a combination of methods to be as comprehensive as possible. This included 24 semi-structured interviews with individual participants and four Focus Group Discussions involving 16 participants. A closer look at the data shows that the construction of Kurdish honour is based on a complex interaction of social structures. These structures can be broken down into three key elements: institutional, relational, and embodied factors. In this regard, the research has identified six structural components. The study demonstrates that the intensity of honour-related conflicts stems from an intricate interplay of structural factors. However, the relative weight of these factors determines the flashpoints of tension. Through the lens of structuration theory, the study demonstrates the role of everyday practices and dynamic social factors in shaping individuals' discursive consciousness around honour. Individuals' conceptualization of honour may sometimes diverge from its practical application, leading to a space for social negotiation where honour undergoes continuous reshaping into a dynamic equilibrium that impacts daily life. It's essential to recognize that this equilibrium varies among individuals. However, a threat to honour can prompt varying facework procedures, contingent upon individual characteristics and community expectations. Current Inquiry uncovers six distinct behavioural patterns individuals exhibit during a crisis of honour. The investigation of the participants' narratives reveals a diverse Kurdish culture, as evidenced by their different perceptions about the tolerable thresholds of honour violations and contradictory discourses concerning honour. The final significant finding is that the fear of dishonour typically outweighs the desire for honour among the Kurds, as indicated by both daily language use and chronological analysis of conflict cases. This observation holds significant implications, not only for reevaluating normative terminology but also for informing social and political preventive measures. -
Comparative Study of Product Liability and Data Confidentiality in Case of Intermediaries with Special Reference to India and The European Union
Technology has played a major role in human development. The advent and invention of wheel and fire changed the coverage of human society. On a similar note in 90 s a technology called internet was developed and it changed all rules of the game. This technology removed all hindrances of place and time. It created faceless market place wherein; consumer not only have huge choices and varieties but also, they can create goods and services on their own. This was the origin of Electronic Business and it gave birth to new breed of middleman / intermediaries to facilitate it. These intermediaries are application provider, ISP, network service provider etc. The mantras of success were wide choices and data. But this mantra created a new legal challenge of data handling and liability for defects in goods and services. Researcher has studied and analysed all dimensions of intermediaries newlineand how they handled the two new legal challenge of data confidentiality and newlineproduct liability. In addition, researcher has examined the legal framework of India and compared it with legal framework of European Union and finally concluded on the coverage and effectiveness of Indian legal structure and what India learn and implement from European Union. This thesis mainly focusing on generic business model used by intermediaries. Issues like IPR, industry specific domain like financial systems and medical domain are excluded. Researcher followed the doctrinal research methodology to understand the evolution of intermediaries, product liability, data confidentiality in India by various primary resources like the Indian Laws i.e., Consumer newlineProtection Act, 2019, Indian Contract Act, 1872, Information Technology Act, 2000 and other various statutes. This thesis compares Indian legal framework with European Union and test the hypothesis of coverage and effectiveness of Indian legal structure with European Union. -
Computational Chemical Property Prediction and Anticancer Simulation of Heterocyclic Molecules
The Density Functional Theory (DFT) technique is popularly employed in establishing organic molecules' structural properties and reactivities. The B3LYP hybrid functional with the basis set 6-311G++(d,p) is utilised in the computational calculations with Gaussian 09W software. The DFT studies include energy minimisation (geometry optimisation), frontier molecular orbitals (FMO) analyses, theoretical UV spectral computation, natural bond orbital (NBO) evaluation, Topological analyses using Multiwfn 3.8 software are performed to evaluate the Pauli repulsion in atomic orbitals (as shown by ELF (Electron Localisation Function) maps), the areas of strong and weak pi-delocalisation in the molecules (as depicted in LOL (Localised Orbital Locator) maps) and the weak non-covalent intra-molecular interactions (as indicated in colour maps of RDG (Reduced Density Gradient)). Pharmacological evaluation is performed using SwissADME, ADMETLab 2.0, and PreADMET online tools. Molecular docking is performed using AutoDock Tools 1.5.6 with select anticancer target proteins to predict the bioactivity potential of the title molecules. The molecules studied in the work include a spiro compoun d, spiro[1H-indole-3,2-3H-1,3- benzothiazole]-2-one, a 2(3H)-furanone, 3,3,5-triphenylfuran-2(3H)-one, and a benzo[d]imidazole, 5,6-dichloro-1-cyclopentyl-2-(methylsulfinyl)-1H- benzimidazole. In addition, comparative studies are performed on the structure and reactivity of spirobrassinin derivatives, spirocyclic isatin-derivative analogues, and 3(2H)-furanones, and these three classes of molecules have already been predicted to possess anticancer properties in vitro. Interesting properties emerge in the preliminary theoretical investigations for these molecules, particularly in the FMO, the NLO and the molecular docking studies. The theoretical studies explore the reactivity, structure, and stability of the molecules under study, and biological evaluation examines their potential as lead compounds for cancer therapeutics. These studies can be further extended to include experimental validation and in vitro and in vivo tests to confirm further the efficacy of the anticancer action as well as the potential toxicity of the compounds. The theoretical investigations provide a database of information that could be useful for experimental scientists and medicinal chemists who primarily focus on drug design and discovery in their research so that they can narrow down the number of possible lead compounds from the vast chemical space of organic compounds that possess drug-like characteristics. -
Computational Methods for Detection and Recognition of Coronary Artery Stenosis in Angiogram Images
Coronary Artery Disease (CAD) is caused by stenosis of the coronary artery's lumen. This heart disease is one of the reasons for the highest mortality worldwide. This illness manifests as stenosis or plaque in the coronary arteries and causes atherosclerosis. It damages or clogs the heart arteries, causing a lack of blood flow to the heart muscles and leading to a heart attack. There are different medical modalities to diagnose the heart artery disease. A standard method used by the cardiologist to diagnose the severity of this disease is coronary angiography. An X-ray machine is used to capture the angiogram image at various angles during cardiac catheterization. Experts examine the data and offers different opinions. owever, most of the angiogram videos consist of unclear images with artifacts, and because of the complex structure of the arteries, medical experts fail to get accurate information about the damages and blockages in arteries. Based on the cardiologist's suggestions, a computational model is proposed as a secondary method to detect and recognize the stenosis level from the coronary angiogram images. The proposed model is Coronary Artery Stenosis Detection Using Digital Image Processing (CASDDIP). The proposed research model/framework can identify the stenosis in the cardiogram image with good accuracy of 98.06% precision. This proposed research experimentation can be compared with existing literature methods which outperforms compared to other methods using real time dataset. A dataset, such as angiogram videos and images of patients under varying age groups, is used to train the model. These videos are acquired from the healthcare center with due consent. The proposed CASDDIP model consists of four modules: Keyframe extraction and preprocessing Coronary Artery Segmentation Feature extraction and stenosis detection Initially, a novel keyframe extraction method is proposed to find the keyframe from the angiogram video. Followed by a hybrid segmentation method is presented in this research to extract the coronary artery region from the image. Further a method is proposed to detect the stenosis by extracting and fusing different features. Detected stenosis is categorized using the proposed stenosis level classification method. This CASDDIP model is a supporting tool to help the cardiologist during diagnosis. -
Computer Vision Based Indian Sign Language Recognition Using Deep Learning
Speech is a human default and unique modality for language development and communication which is essential for memory and overall cognitive development. Excellency in language permits a child to be extrovert enriching the development of cognitive and psychosocial skills; whereas, for auditory deprived children, the misalignment of the brain and ear makes them impotent to communicate with the society which creates a central dogma that hearing-loss is a disability which further ignores their psycho-social identity. To fill such gaps and make their community more freewheeling in India, Indian Sign Language (ISL) - a complete language with its own linguistic and verbal elements was framed. Though ISL is appropriate and absolute in every linguistic approach, lack of prerequisite and proficiency enforces dedicated teachers to teach the curriculum through contrived signs for the sake of convenience that not only diminishes the distinctiveness of ISL but also dislodges the idea of learning their mother tongue. This creates an imbalance in the analogous learning of communication and curriculum language. In order to balance the level in learning, effective vision-based days of the week ISL model is developed through Convolution Neural Network (CNN) architecture which boasts independent learning of ISL. The proposed model comprises of six stages: dataset creation, preprocessing, splitting dataset into train, validation and test, applying various types of image augmentation techniques according to split, constructing CNN model for feature extraction and classification and finally evaluating the result through evaluation measures. Initially, an image dataset is created as there is a scarcity of standard ISL datasets in internet sources. The images are created on vision-based technique to avoid of carrying additional superfluous hardware gadgets for human computer interaction. -
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. -
Convective Instability of Ferromagnetic Fluids in A Porous Medium
The thesis is concerned with the study of Rayleigh-Bard ferroconvection in a horizontal porous layer. Darcy-Brinkman law is employed to describe the fluid motion. The effect of second sound,thermal radiation, internal heat generation, variable viscosity and surface tension on the onset of Darcy-Brinkman ferroconvection is considered. newlineThe findings of the problems investigated in the thesis have implications for heat transfer applications wherein magnetic fluids serve as working media. The summary of the problems addressed in the thesis is given newlinebelow. Ferroconvection in a horizontal layer of porous medium with second sound The problem of Rayleigh-Bard convection in a ferromagnetic fluid saturated porous medium with the Maxwell-Cattaneo law is studied by newlinethe method of small perturbation. Modified Darcy-Brinkman model is used to describe the fluid motion. The horizontal porous layer is cooled from the upper boundary, while an isothermal boundary condition is imposed at the lower boundary. The fluid and solid matrix are assumed to be in local thermal equilibrium. The non-classical Maxwell-Cattaneo heat flux law involves a wave type heat transport and does not suffer from the newlinephysically unacceptable drawback of infinite heat propagation speed. The resulting eigenvalue problem is solved exactly for simplified boundary conditions and closed form solutions for both stationary and oscillatory instability are obtained. Some of the known cases have been deduced as newlinelimiting cases of the present study. The influence of porous, magnetic, and non-magnetic parameters on the onset of ferroconvection has been analyzed. It is found that magnetic stresses and second sound hasten the onset of Darcy-Brinkman ferroconvection. As the magnetic equation of newlinestate becomes more and more nonlinear, ferroconvection in a porous layer in the presence of second sound is advanced. However, it is delayed when the porous parameters are increased. -
Corporate Insolvency Resolution Process Under Insolvency and Bankruptcy : A Critical Study
A robust legal system is essential for corporations to carry on business smoothly. Previously in India, winding up and corporate rescue were dealt in multiple legislations for different entities. Provisions relating to winding up of companies were found in The Indian Companies Act 1913, Indian Companies Act, 1956 and further in the Companies Act, 2013. These provisions did not ensure expeditious winding up procedures and the same affected the interest of stakeholders. newlineThe increase in NPA compelled the need to bring an efficient framework to protect the rights of creditors and debtors. As a solution to this IBC was enacted in 2016, to facilitate timely resolution of insolvency and bankruptcy. This research aims to critically analyze the provisions of corporate insolvency resolution process, to examine whether IBC is facilitating newlinerehabilitation of insolvent corporations and protecting the interest of creditors, so as to balance their interests. It further aims to outline a draft policy for a better insolvency resolution process in India. Primary data for the study was collected through a structured interview of stakeholders and conclusion was drawn through a qualitative thematic analysis using NVivo software. The findings showed that, through CIRP there is debt recovery for financial creditors, but it is not expeditious. There are multiple reasons for the delay. The operational creditors are not able to newlinerecover from the process and as a result, many of them are turning insolvent. The rights of the corporate debtor are protected under the Code but they are not adequately protected under the Code as there is no value maximization under the Code. There are many delays in the process, resulting in more companies going into liquidation. IBC is a debtor friendly legislation. Both resolution and liquidation benefit the corporate debtor as it helps the company to resolve its newlineinsolvency. -
Cost Effective Synthesis of Carbon Nanoparticles and Exploring the Fluorescence and Electrochemical Applications
Graphene-based materials and composites for sensing are a fascinating field in material science research that is experiencing rapid advancement. But the applications of graphene-based materials were often hampered by their high production cost, low yield, expensive and scarce precursors, harmful processing techniques, etc. Coal is made up of islands of nanometer-sized crystalline carbon domains linked by a 3D network of amorphous aliphatic carbon and polymerized aromatic hydrocarbons that can be extracted using mild oxidizing agents. In this context, the present study reports the successful usage of low-grade coal, lignite as an ideal precursor for the production of carbon nanostructures for various sensing applications. This research is divided into three parts where value addition to coal is being done along with finding solutions to three major environmental issues: fluorescence sensing of copper ion; noninvasive glucose fluorescence sensing; simultaneous electrochemical sensing of heavy newlinemetal ions cadmium and lead. In the first study, carbon nanostructures were synthesized from lignite by a simple, scalable, and economical technique and the as-prepared carbon nanostructures, namely LC1, LC2 and LC3, demonstrated excellent fluorescence characteristics. LC3 exhibited remarkable copper ion sensing with a dual linear range with limits of detection (LOD) as low as 1.32 pM and 2.35 pM, with limits of quantification (LOQ) 4 pM and 7.14 pM respectively. The accuracy of the manufactured sensor was shown by the recovery rates of copper ions, which varied from 98.18% to 101.2% with Relative newlineStandard Deviations (RSDs) below 0.4%. The results are captivating, implying that newlinethese lignite derived carbon nanostructures could be employed to efficiently and newlineeconomically detect low concentrations of copper ions in water. In the second study, carbon nanoribbons and nanosheets with superior fluorescence were synthesized from lignite, using a facile chemical oxidation process.