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Anomaly detection in online social media
Online Social Media (OSM) is a platform where users post opinions, discussions, product reviews, random thoughts, advertisements, comment exchanges and status updates.These platforms help in text mining applications such as prediction of election results, newlinestudying global mood trends, public perception of a national concern or an issue, mining of public health knowledge, detecting epidemics and business analytics. These newlineapplications also present some research challenges like personal data stealing, community phishing, hate speeches, spreading misconceptions, cyber bullying and terror attack planning. Some of these challenges are anomalies or outliers which don t conform with the majority ones. The anomalies focused in this research work are behavioral and content anomalies. Data preprocessing for textual data from OSM plays an important role for creation of the Vector Space Model (VSM) which is used as an input for behavioral and content anomaly models. The contents posted by the public in OSM is written using natural language and sometimes may not follow the formal communication mode. It has lexical, newlinesemantic and syntactic ambiguities and becomes a challenging task to extract accurate information and discover logical patterns during the text mining process. Some of the commonly used methods for text mining are, Bag of Words (BoW), N-grams and Term newlineFrequency-Inverse Document Frequency (TF-IDF). Few limitations of these techniques newlineare, high dimensional sparse feature vectors, missing contextual meaning, presence of newlineweak features and Part of Speech ambiguity. In this research study, an improvised Feature Engineering model is proposed which is a combination of Forward Scan Trigrams and weighted TF-IDF to address the creation of an efficient Vector Space Model (VSM). This proposed model is used with an improvised Feature Hashing technique to address the removal of weak features. -
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Forecasting volatility evidence from the futures market in India
This thesis focuses on modelling and forecasting of select products in the Indian futures market using econometric time series models and artificial neural network based models. These models have been compared for their forecasting accuracy to determine the best forecasting model for a particular futures series. This study applies GARCH, EGARCH, PARCH, TARCH, and Artificial Neural Networks (ANN) to assess the best predicting model for exchange rate futures, commodity index futures and stock index futures. After testing for stationarity of data series, GARCH, EGARCH, PARCH and TARCH models are developed. In addition to in-sample forecasts, 1-day, 5-day, 10-day, 15-day and 30-day out-of-sample forecasts have been carried out. For ANN, data is scaled using the minmax scaling methodology to ensure that newlinethe data series is normalised and in the range of 0 to 1. ANN is developed using the feedforward methodology. While the basic neural network architecture has one input layer, one hidden layer and one output layer, the number of neurons in the input and hidden layers vary from 1 to 20. The optimum number of input and hidden neurons in their respective layers are then selected based on the combination which gives the least error. These network combinations are used for out-of-sample forecasting and errors are compared with the forecast output of the GARCH models. RMSE, MAE, MAPE, Theil s-U statistic and Correlation coefficient is computed for error newlinecomparison. Results indicate that for currency futures and commodity index futures, ANN provides better forecast accuracy. For stock index futures, GARCH family models work better in some cases. -
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Investigation on multistep purified carbon nanostructures synthesized from a variety of hydrocarbon precursors
Nanotechnology has become by far the fastest growing area and the shooting star in materials science. Carbon is a fascinating element observed in a large variety of morphologies and atomic structures owing to its chemical ability to form different hybridizations. Carbon nanotechnology has gained significant attention, energized by discoveries such as fullerenes, followed by carbon nanotubes, and, of course the latest addition to the carbon family, graphene. Graphene, a two- dimensional honeycomb lattice of sp2-bonded carbon atoms, possesses a wealth of exceptional properties that has resulted in intense research activities. Although graphenes prospect for applications in wide areas is attractive, making and manipulating graphene is a daunting task. The most fruitful and cost-effective way to synthesize graphene in huge scale from bulk graphite is by reduction of Graphene oxide. Graphene oxide is nothing but a corrugated carbon sheet with over half of the carbon atoms functionalized with hydroxyl and epoxy groups, and edges partially occupied by hydroxyl, carboxyl, ketone, ester and even lactol structures. It has recently emerged as a new carbon-based nanoscale material that provides an alternative path to graphene due to its own alluring properties. In the present study, carbon nanomaterials are derived from hydrocarbon precursors- kerosene, camphor and liquid paraffin by thermal decomposition. Graphene oxide is then synthesized from these carbon nanostructures by modified Hummers technique. The as-prepared soot nanostructures and graphene oxide nanosheets are investigated by various experimental techniques viz. Raman Spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), UV- Visible Spectroscopy, Scanning Electron Microscopy (SEM), Energy Dispersive X-Ray Spectroscopy (EDS), X-Ray Diffraction (XRD), Atomic Force Microscopy (AFM) and X-Ray Photoelectron Spectroscopy (XPS). The effect of ultrasonication on the samples is also studied. -
Experience of Resilience in Women with Breast Cancer : Implication for Resilience-Based Intervention
Breast cancer is prevalent among Indian women and affects their physical, emotional, and social well-being. Resilience in breast cancer refers to the ability to maintain newlinepositivity and adapt to challenges. However, evidence-based studies and theoretical newlineframework interventions on resilience in the Indian context are lacking. The current newlinestudy aims to explore the subjective experience of resilience and intend to provide resilience-based intervention in Indian women with breast cancer. The study also explores sociodemographic, clinical outcomes, relation with resilience, quality of life and posttraumatic growth in the Indian context. The study uses a qualitative approach with phenomenological paradigm to understand the patterns, processes and outcomes in exploring the concept of resilience. Purposive sample of 33 participants from two hospitals in Bengaluru, India were recruited. The participants consisted of 21 breast cancer survivors on follow-up, four on anti-cancer therapy and eight family members of breast cancer survivors for triangulation. Along with sociodemographic, clinical details, and the Connor-Davidson Resilience Scale (2003) to screen for categorising the resilience levels was collected. The in-depth interview guide was validated with experts to collect data. The interviews were tape-recorded, transcribed, and subjected to member checks, triangulation, intercoder reliability, and thick description to ensure the validity of the findings. The data was analysed using reflective thematic analysis by Braun and Clarke (2019). The finding describes four themes of experience of resilience in women with breast cancer. (1) Cancer diagnosis is a life-changing experience. Breast cancer diagnosis and therapy causes existential crisis, psychological distress, and social stigma. (2) Restoring healthy perception in an adverse event. Navigating challenges and achieving a balance between internal and newlineexternal factors. (3) Types of support-the pathway to resilience. -
A Sociopolitical Study of Contemporary Ideological Discourse on Ethnic Nationalism From Tamil Nadu
The discourse on nation-building is primarily ideological and differs according to context. The present research intends to study the newlinecontemporary discourse on Ethnic nationalism produced within Tamil Nadu. It specifically focuses on the ideological discourse of Seeman and engages with the ideological discourse analysis model of Teun A van Dijk. The present research traces the emergence of Tamil nationalism in the Dravidian political terrain and the rise of Seeman s Tamil nationalism among various notions of Tamil nationalism. In this context, Dijk s ideological discourse analysis model contributes to finding the position that Seeman s Tamil nationalism occupies. Further, the research seeks to locate its position within the sociopolitical milieu of Tamil Nadu by critically analysing three cases: newlinethe pro-Jallikattu protest (2017), the Salem-Chennai Greenfield Highway protest (2018) and the Language Issue over the Consecration of Thanjavur Brihadeeswara Temple (2020), and the Assembly election results of 2016 newlineand 2021. These cases foster to explore how Seemanism is turning out to be an influential ideological discourse. Besides, the research intends to determine how far Seemanism fits within the theoretical framework of Anthony D. Smith s three processes of ethnonational transformation. The three processes are vernacular mobilisation, cultural politicisation of vernacular heritage and ethnic purification. Vernacular mobilisation works to protect the ethnic sources such as indigenous traditions, customs, language, symbols and memories. This process has underpinned to figure out how the ideological discourse is striving to disseminate the knowledge of ethnic symbols such as Murugan, Jallikattu, and Parai. Further, it has newlineassisted to find that the ideological discourse is rediscovering the position of Tamil by claiming it is an ancient language. -
The role of social media in changing the perception of wedding photography-A study on coimbatore district /
Wedding photography is one of the booming industry in India. Wedding photography has witnessed a great change when compared to the last decade. And on other side social media plays a vital role in all industry both to change the perception and as well boost the market for the industry. This study looks at how social media is helping to change the perception of wedding photography and as well and what are the other styles that social media users got to know. -
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A Study on Foreign Direct Investment in Multi-Brand Retail to Develop a Business Model for Domestic Supermarkets in the Convenience Stores Format.
The main focus of this research is in the area of organised retail specifically in the convenience stores format in India. The Indian organised retail is growing rapidly but is still in the nascent stage. There are many challenges in terms of infrastructure, supply chain efficiencies, cost structure and customer adaptability to the emerging retail formats. India is perceived to be a lucrative destination for retail and with opening up of foreign direct investment imminent many multinational giants are eyeing India. Indian companies are grappling with many challenges and experimenting with many formats in retail. This study attempts to understand the present scenario and the preparedness of domestic companies in consolidating their existing position to evolve a business frame work model for domestic companies to not only consolidate their existing position but also counter threats from multinationals entering into India. The research revealed that there are not many integrated business models, though there are models on different components of supply chain and retail, Indian companies will certainly benefit from creation of integrated business model which can assist them in taking strategic decisions in terms of managing cost and revenue structure and expansion plans. Scope of this study is Grocery and staples and fruits and vegetables business as food contributes to almost 63% in the organised retail business and was bifurcated into back end and front end operations. This study is intended to understand the drivers and factors influencing the back end operations in the area of supply chain efficiencies and the front end operations particularly in respect of costs, revenues and key drivers to create an integrated business model frame work to drive optimisations at all levels. Sample of this study was two major organised retail companies in Bangalore catering to about seventy outlets in Bangalore and having distribution centres. Tools used in this study was data observation sheets for all the key parameters for both back end and front end operations, in addition to unstructured in depth interview with expert group. However the protocol for the interview was predetermined to capture all key data and elements and involved some qualitative aspect and Linear programming for simulation and trying out various permutation combinations. Some of the major findings were: Stock keeping units, cost of procurement and secondary freight emerged as significant drivers to be controlled for efficiency and optimisation link in the back end grocery and staples. Cost of procurement, net sales value and operations cost emerged as the key drivers of efficiency and optimisation link in the back end Fruits and Vegetables. Rentals, Sales, Cost of goods sold, Total personnel cost and Total facilities cost had significant influence on EBIDTA in the front end super market. Break even point for same size stores differed depending upon the location and other cost drivers. Sensitivity analysis revealed that manpower, rent and total facilities cost had significant impact on EBIDTA in the front end. Limitations and future areas of research have also been discussed. -
Instabilities in ferrofluids with temperature and magnetic field dependent viscosity under different modulations
There has been a vigorous effort by researchers to study and characterize Rayleigh Be and#769;nard convection in ferrofluids owing to their interesting applications. From the survey of the literature pertinent to the problems under consideration in our study we realize the importance of using variable viscosity and thus explore the dynamics of a ferrofluid with temperature and magnetic field dependent viscosity which is in a Rayleigh- Be and#769;nard situation. The system under consideration is subjected to external constarints viz., an imposed time-periodic body force, rotation speed modulation, temperature modulation and magnetic field modulation. The problem considers both sinusoidal and non-sinusoidal time-periodic variations of these modulations to study the onset and post-onset regimes of Rayleigh-Be and#769;nard ferroconvection. We perform a weakly non-linear stability analysis using a truncated Fourier series representation and arrive at the Lorenz system for ferrofluid convection with variable viscosity. By using the linearized form of the Lorenz system we arrive at the critical Rayleigh There has been a vigorous effort by researchers to study and characterize Rayleigh Be and#769;nard convection in ferrofluids owing to their interesting applications. From the survey of the literature pertinent to the problems under consideration in our study we realize the importance of using variable viscosity and thus explore the dynamics of a ferrofluid with temperature and magnetic field dependent viscosity which is in a Rayleigh- Be and#769;nard situation. The system under consideration is subjected to external constarints viz., an imposed time-periodic body force, rotation speed modulation, temperature modulation and magnetic field modulation. The problem considers both sinusoidal and non-sinusoidal time-periodic variations of these modulations to study the onset and post-onset regimes of Rayleigh-Be and#769;nard ferroconvection. -
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Exploring The Multifaceted Benefits Of Strobilanthes Jomyi P. Biju, Josekutty, Rekha & J. R. I. Wood : A Comprehensive Pharmacognostic Investigation On Its Medicinal And Insecticidal Properties
Plant-based medication, is an established practice in Indian medicine, initially newlineinvolvedin the direct use of raw plant parts for treating various health conditions. Later, valuable components are identified, isolated, and utilized to treat diseases. The newlineStrobilanthes Blume genus has a rich therapeutic history around the globe, especially in countries such as India, China, Myanmar, and Thailand. Strobilanthes jomyi, a recently identified species found in Kerala, India is still in wide use by tribal communities in the Kasaragod district for wound healing. This study aimed to evaluate the microscopic, macroscopic, organoleptic, fluorescent, physicochemical, mineral composition, phytochemical, Gas Chromatography Mass Spectrometry, antioxidant, anthelmintic, insecticidal, antimicrobial, and cytotoxicity activities of S. jomyi leaves, stem, and root. The different vegetative parts were subjected to Soxhlet extraction using methanol as a newlinesolvent and analysed using standard Protocols. Macroscopic andmicroscopic examinations revealed non-glandular trichomes and paracytic stomata in the leaves, raphides in the stem and petiole, and tannin cells in the root. Cystoliths were observed only in the petiole. Powder analysis exhibited the presence of fibres, trichomes, palisade cells, spiral xylem vessels, bordered pit vessels, and raphides. The leaves contained higher phenolics, flavonoids, carbohydrate, protein, proline, and chlorophyll content compared to the root and stem. The methanolic extract of leaves showed higher antioxidant activities than the root and stem. GC-MS analysis identified bioactive compounds such as 2,4-di-tert-butyl phenol, phytol,squalene, phenol, neophytadiene, and lupeol in the root, stem, and leaves. All vegetative partsof S. jomyi exhibited excellent anthelmintic activity, with the highest newlineobserved in the leaves, followed by the root and stem. Insecticidal activity was only newlineobserved in the leaf extract. Anti-microbial and anti-cancerous activities were remarkable newlineacross all vegetative parts. -
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Social group work intervention for adolescents with learning difficulty
School social workers have a significant role in imparting holistic education in schools. Life skill training program in schools is an appropriate intervention strategy. Specialized skills and intervention methods like social group work, learnt by school social workers help in proper assessment and implementation of required services in school settings. Adolescents with learning difficulty have trouble expressing their feelings, claiming themselves down and reading non-verbal cues which can lead to difficulty in the classroom and with their peers. The aim of current research is to study the efficacy of life skill training program through social group work intervention in enhancing the self-esteem, interpersonal relationship and coping newlinebehavior of adolescents with learning difficulty in Hindupur, Andhra Pradesh. newlineAdolescents studying in Hindupur were selected for the intervention study which has newlinea quasi experimental design. The study results advocate several hypotheses for the newlinepossible causes and prevalence of learning difficulty. The results highlights that newlinelearning difficulty is associated with low income families and education of the parents. The pre test and post test scores of the group revealed that the self esteem of newlineadolescents with learning difficulty improved significantly after the group work intervention, Indicating that the intervention may have contributed to the change in self-esteem of adolescents with learning difficulty. The empathic concern domain showed significant improvement in post test scores with regard to interpersonal newlinerelationship. Other domains like perspective taking, fantasy and personal distress newlinedidn t show significant change in the post test indicating that the intervention may newlinehave to be modified accordingly. This is even seen with the results of coping newlinebehavior. -
A STUDY ON THE SELF-ESTEEM AND SOCIAL RELATIONS OF ADOLESCENTS WITH LEARNING DISABILITY.
According to World Health Organization Learning disability is a state of arrested or incomplete development of mind. The most common learning disabilities are Dyslexia, Dyscalculia Dysgraphia, Auditory and Visual Processing Disorders and Nonverbal Learning Disabilities. Adolescents with learning difficulty have trouble expressing their feelings, calming themselves down, and reading non-verbal cues which can lead to difficulty in the classroom and with their peers. In India approximately 13 to 14 per cent of all school children suffer from learning disorders (Sadaket 2009). The social relationships of the adolescents with learning disability have a positive influence on their self esteem. It helps them to maintain a constructive relationship with their peers, teachers and parents. The study was focused to know the relationship of self esteem and social relation in adolescents with learning disability. The study was conducted among all the Adolescents with Learning Disability, in an alternative school in Bangalore. The size of the sample was 50 which include both genders and the sampling design was purposive sampling. Adolescents with learning disability of the age group 11 to 18 years were included for the study. The students level of self-esteem was assessed by using a 10-item scale developed by Rosenberg (1965). The Rosenberg Self- Esteem Scale was rated on a 4-point Likert scale ranging from 1 (strongly disagree) to 4 (strongly agree). The researcher reverse scored five items that were negative in nature so that higher scores would indicate higher level of self-esteem. The scale ranges from 0-30. Scores between 15 and 25 are within normal range; scores below 15 suggest low self- esteem. A semi structured questionnaire was designed to gather information on the socio demographic profile and social relation of adolescents with learning disability. A pilot study was conducted among 10 percent of samples and necessary modifications were made. The statistical analysis was done on the data using SPSS. The level of significance was fixed at 0.005(p<0.05). The results show that, among the total respondents, 62.0 percent of them are male respondents (n=31) and 38.0 percent are female respondents (n=19).56 percent of the respondents are being compared with their siblings by their parents. The study indicates that 44 percent of the respondents feel stressed due to parental pressure. The respondents who fall under the age group of 16-19 years have a higher self-esteem than the respondents who fall under the age group of 11-15 years. The study shows that, statically there is a significant relationship between the respondents relationship with parents with respect to respondents self-esteem. There is less significant relationship between the respondents relationship with peers with respect to respondents self-esteem. Present study indicates that, statically there is a significant relationship between the respondents relationship with teachers with respect to respondents self-esteem. Learning disability is a disorder which can be remedied using appropriate instructional strategies. The early identification helps in remedial teaching and building self-esteem. The present study indicates that adolescents with learning disability with better social relationship will have high self-esteem. Realizing the importance of self-esteem and its relationship with social relation, a multidisciplinary approach is required to initiate appropriate interventions in building self-esteem and teaching learning disabled child. Thus the learning disabled child can be mainstreamed effectively. -
Increasing usage of indirect advertisements and its effects /
Advertising is not at all a new term for the contemporary world. Brands have been using advertisements for the promotion and popularity. As an industry which needs a lot of creativity, advertising industry had undergone a lot of changes. According to the time and trend advertising industry found various changes and practised it. Here the researcher is trying to find out the latest trend in the advertising industry.