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SOCIAL REHABILITATION THROUGH NEW MEDIA: A COMPARATIVE ANALYSIS OF 3 CONTINENTS WITH INDIA TO OVERCOME TABOOS ASSOCIATED WITH THERAPY
This paper attempts to measure the significance of New Media as a branch of social sciences and the growing impact it has on other walks of life, specifically its role in social rehabilitation. The word ??therapy is a ubiquitously known term and often used in daily speech in the branch of psychology. Given the new application of new media, the term has now crossed fences over the sphere of media with its application in online communication. The advantages of therapy and social rehabilitation through the online application of new media have been discussed as a central argument. It further seeks to analyze if it triumphs the role of traditional forms of therapy in making the latter a more viable medium today. The role of technology and its impact have certainly impacted the way one looks at the term ??therapy and ??counseling. This paper hence seeks to find the effectiveness of online therapy in social rehabilitation in comparison to traditional therapy while examining the perspectives of 3 continents specifically USA, UK and Africa and comparing it with India. -
Social security concerns of students pursuing higher education during Russia-Ukraine conflict: Legal analysis /
A stateless migrant is not considered a citizen or national of any country under the operation of its laws. Such a person has no recognized nationality or legal status and is therefore not entitled to the protection and benefits of any state. Stateless migrants may face significant difficulties in exercising their basic human rights, including the right to education, work, and access to healthcare, among others. There are many different concepts regarding migrants and stateless migrants. This research will emphasize upon the concept of stateless migrant and the Indian students those are pursuing higher education from Ukraine and that is disturbed because of the uncertain conflict happened in Ukraine. Migrant is defined as a person who leaves their country of origin to live in another country, while a stateless migrant is someone who does not have a recognized nationality. Both concepts are important to understand when considering the rights of individuals. However, this research will also encounter often challenges in ensuring that these rights should be respected and protected by the authorities. -
Soft computing techniques for hub sequence analysis /
Bioinformatics, the combination of Biology and Information Technology has become a pioneer industry booming worldwide. One of the grand challenges in biology is to understand organizing principles of bimolecular networks. There seems to be a deliberate effort towards uncovering new laws of biological complexity. One of the most pressing needs in this area is the understanding of protein-protein interaction networks and their complexity. Hub proteins- network elements with high connectivity- literally ??hold the networks together. Though several experimental methods have been developed to identify hub proteins, it is important to supplement procedures for pattern recognition to classify/predict hub protein sequences. This research work aims at the classification and prediction of hub proteins of two model organisms- Homo sapiens and Escherichia coli using different computational approaches of pattern recognition such as Principal Component Analysis (PCA), Artificial Neural Network (ANN) and Linear Discriminant Analysis using (i) Class Dependent Approach (LDACD), (ii) Class Independent Approach (LDACIND), and (iii) Normal Bayes Classification (LDANB). -
Software bug in identification and prediction through software are metrics in object oriented protects :
In the software engineering, quality assurance plays an important role. newlineThe quality assurance as an activity, observes the execution of software project to ensure that the behavior of product is in accordance with the expectations. The testing is associated with quality assurance activities. The testing takes a lot of time and an effort of the tester to test the test newlinecases. Even after enough manual or automatic testing, bugs remain uncovered because of lack of time. So, a need arises to focus on this area to save the time and cost of the organizations. The software developer or newlinetester should be aware about the main reasons of software bugs so that they can focus on the right part of the code at the right time. Need of introducing product, process and project metrics is also very essential for newlinethe identification of major causes of bugs. Predictions will always be best if the history of project is taken into consideration. We can come up with accurate predictors with the help of root causes of the software bugs. Several bug prediction models can use bug indicators as the input of model to predict the number of bugs. newlinePrediction attempts to provide quantitative measures to help the software testers and developers. With more number of bug indicators, a step can be taken towards wider horizon of bug prediction thus enabling higher devotion to improve quality of software products. Therefore, identification of several reasons of software bugs and implementation of effective bug prediction models are needed to widen the scope of bug newlineprediction approaches and to improve the software quality. After estimating the future bugs using prediction models, awareness of bug severity is also required to avoid the expected harms to software products. newlineIntroduction of Artificial Neural Network (ANN) was needed to improve the prediction potential. In this work an attempt has been made to associate different levels and types of inheritance through neural network newlineby establishing a correlation framework with diverse types of bug severitie. -
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SOURCES OF OCCUPATIONAL STRESS AND ITS CONSEQUENCES AMONG TEACHERS
Occupational Stress in workplace occurs when the job demands that are required by the individual cannot be fulfilled at a given time, which in turn leads to adverse effect on individual. Teaching has been identified as one of the most stressful occupations in many countries. The Purpose of this research was to measure the Sources of Occupational Stress and its Consequences among Private and Government Teachers of Pre- University College of Shillong, Meghalaya. The sample of the study consisted of 60 participants from Shillong city, Meghalaya, where 16 male and 44 female teachers and the participants between the age group of 20-51 years and above who are working in Private and Government institutions were considered for the study. The data was collected using structured, open and close ended questionnaire which was mailed to some participants and personally distributed to 70 participants out of which only 60 participants responded from Private and Government institution using Purposive Sampling. The Objectives of the study were, to study the demographic details of the teachers, to identify the sources of occupational stress, to study the consequences among teachers; to compare government and private teachers in terms of sources of occupational stress and its consequences. The Tools used were demographic details, Teacher Stress Inventory (Fimian & Fastenau, 1990). The collected data were analyzed using Statistical Package for social sciences (SPSS) 17.0 version. Frequency and Percentage: was used to interpret the demographic characteristics, sources of occupational stress and its consequences. T-test: was used for the comparison between two groups. Pearson's chi-square test was used to discover if relationship exist between two categorical variables. One way ANOVA was used for the comparison between three groups. The results shows that there were no significant differences found between private teachers and government teachers on sources of occupational stress and its consequences. Significant differences were found between male and female teachers on sources of occupational stress and its consequences. Keywords: Occupational Stress, Higher Secondary Teachers, Consequences of Stress -
Spatio temporal crime analysis and forecasting using social media data
Now a days, people communicate, share ideas, and interact through social media platforms. It has given us an ability to talk about career interests, post videos, and pictures for sharing with others. The data present in social media enables the analysis of various human aspects. The social media data and domain is used for crime analysis, customer behaviour analysis, and healthcare analysis provides much information useful to predict human behaviours. Crime is the most common social problem faced in a developing country. In developing countries like India, crime plays a detrimental role in economic growth and prosperity. With the increase in delinquencies, law enforcement needs to deploy limited resources optimally to protect citizens. Crime affects the reputation of a nation and the quality of life of its citizens. Crime also affects the economy of the country, increasing the financial burden of the government due to the need for expenditure in the police force and judicial system. Various initiatives are taken by law enforcement to reduce the crime rate. An example of these initiatives includes an accurate and real-time prediction of crime occurrences. Crime analytics and prediction have lengthily studied among research analytics communities. In recent years, crime knowledge from one of a kind heterogeneous source (Twitter, News Feeds, Facebook, Instagram and so forth.) have given enormous opportunities to the research group to comfortably study crime pattern and prediction duties in specific real knowledge. Data mining and predictive analytics provide the best options for the same. Law enforcement organizations are increasingly looking to use data from social media such as Facebook, Newsfeeds, Twitter, etc. investing in research in this area. Using the intelligence gained through these data, the agencies can identify future incidents and plan for active patrolling. -
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Spectral and Timing Properties of Selected Black Hole Binaries
X-ray binaries hosting a black hole (accretor) and a main sequence or a post-main sequence star (companion star) are called black hole X-ray binaries (BHXBs). BHXBs are gravitationally bound systems where the matter from the companion star is accreted onto the accretor either via a Roche lobe overand#64258;ow (low-mass companion star) or stellar wind (high-mass companion star). The accreted matter spirals towards the accretor, losing its angular momentum in the process. The gravitational potential energy of the in-falling matter is converted to kinetic energy which is eventually released as X-rays. X-ray spectrum of BHXB is quite complex by nature, which is contributed by various X-ray production processes. Systematic and comprehensive investigations of the X-ray production mechanisms are essential for understanding the fundamentals of accretion physics and exploring the general relativistic effects in extreme gravity environments. Launch of several dedicated X-ray missions like Uhuru, Ginga, RXTE, Chandra, XMM-Newton, NuSTAR, Swift, etc. for over half a century have led to the discovery, classifcation and fair understanding of spectro-temporal properties of BHXBs. Despite the continuous and ongoing newlineefforts, the physics of the accretion mechanism in BHXBs, accretion disk geometry, the origin of quasi periodic oscillations (QPOs), energy-dependent time lags and coherence of X-ray photons in different energies, etc., are yet to be completely understood. Hence, there is a need for newlinerevisiting these problems using the data from more sensitive instruments, that have broadband energy coverage and have better spectral and timing resolutions than RXTE. Thus, data from the latest missions like AstroSat, Swift, NuSTAR with their broadband energy coverage, especially in the lower energy regime (and#8804; 3.0 keV), and larger effective area can help fll in the gap in the newlineexisting body of knowledge and provide a holistic understanding of these sources. -
Spectroscopic Studies and Theoretical Analysis of Some Selected Heterocycles
Seven derivatives of heterocycles benzimidazole, benzoxazole and benzothiazole were studied, five of which were synthesized and characterized. The molecular geometry and newlinespectroscopic data of the compounds in the ground state were calculated using the density functional theory (DFT/B3LYP) method with the 6-311++G(d,p) basis set. A comparison between the experimental and calculated data was attempted. Molecular electrostatic potential (MEP) and global reactivity parameters were deduced using theoretical calculations. HOMO-LUMO energy gap for each compound was determined by DFT and cyclic voltammetry. The cyclic voltammograms were recorded in acetonitrile solvent using lithium perchlorate as the supporting electrolyte. For all the compounds experimentally determined HOMO LUMO energy gap in polar solvent was lesser than that from DFT calculated energy gap. Using the HOMO-LUMO energy gap, global reactivity parameters were calculated. The effect of solvents of varying polarity on the absorption and emission spectra of the compounds was studied. Large excitation and emission energy differences were observed for all the selected heterocycles. The excitation and fluorescence spectra of selected heterocycles were recorded in eight solvents of different solvent polarity. It is evident from the excitation spectra that on increase of the solvent polarity, a bathochromic shift takes place for and#960;-and#960;* transition, and this is attributed to the high influence of solvent polarity in the excited state of heterocycle newlinecompared to its ground state. The dipole moments in the ground and the first excited state of heterocycle derivatives were newlinecalculated using Lippert-Mataga and Kawski-Chamma-Viallet methods. Guggenheim-Debye method was adopted to calculate ground state dipole moment. The dipole moments of the compounds were also calculated using Time Dependent-Density Functional Theory (TD-DFT). The dipole moment values of the compounds suggested that the excited state has more charge separation and thus becomes more polar. -
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Spectroscopic Studies of Galactic Field Be Stars
Be stars provide excellent opportunity to study circumstellar disks. But the disc formation mechanism of classical Be (CBe) stars- the Be phenomenon- is still poorly understood. This can be understood by studying CBe stars in various locations like clusters and fields. Spectra of Be stars show interesting emission lines of different elements like hydrogen, helium, iron, oxygen calcium, etc. These emission lines are valuable indicators in providing information about the circumstellar disks of Be stars. In the past several decades various aspects of Be stars have been studied. But literature review clearly indicates the need of further studies to frame a consolidated picture about Be phenomenon in CBe stars. It is found that especially, the region ?????? 7500 - 8800 ??? is a less studied, and thus poorly understood area in Be star research. But this area shows some interesting features like emission lines calcium, iron, oxygen and Paschen series. So, here we have studied a sample of 118 field CBe stars taken from the catalogue of Jaschek & Egret (1982) and whose medium resolution spectra were obtained in ?????? 3800 ?? 9000 ??? region during December, 2007 to January, 2009 with the 2.1-m Himalayan Chandra Telescope (HCT), located at Hanle, Ladakh, India and operated by the Indian Institute of Astrophysics (IIA), Bangalore. In this thesis, we present three works which investigate the disc properties of our 118 program Be stars by studying their spectral line features, focussing primarily on the less explored ?????? 7500 - 8800 ??? region. Firstly, we have analyzed the less studied Fe II 7712 ??? emission line for our stars to understand the possible Fe II line excitation mechanism in CBe stars. Our work predicts that Ly???fluorescence may be the possible Fe II line excitation mechanism in CBe stars. Secondly, we have studied the Ca II triplet emission lines for our stars and have developed a new technique for deblending Ca II components from their counterpart Paschen lines, thus providing a more efficient way to analyze Ca II lines. Analyzing Ca II lines through this technique, we suggest that the gas producing these lines is optically thick. This leads us to predict that Ca II lines may be an indicator of binarity in Be stars. Lastly, we have estimated the Balmer decrement values, D34 and D54 for 81 of our sample stars to shed light on opacity effects in Be star disks. Our work confirms the disc transient nature of Be stars through epoch-wise D34 and D54 variation study and also suggests that Be star disks are optically thick. -
Spectroscopic Study Of Selected Be Stars In Our Galaxy
The optical spectroscopic monitoring observation of two Be stars namely 4 Hercules and 88 Hercules was observed with 1.02m telescope at the VBO, Tamil Nadu, India over a period of six months. The spectra were reduced using standard routines in IRAF. The equivalent width of the lines were identified have been measured. The line profile variability exhibited by H? H?and HeI lines are studied to understand the emission mechanism in the Classical Be-stars. The properties of the process can be well constrained, leaving only few options, most importantly, but not exclusively, non-radial pulsation and small scale magnetic fields. In different stars different processes may be acting. This is not only true for the disk structure, but as well for its variability, both cyclic and secular. Be stars, at lower metallicities, seem more common and more rapidly rotating. The Be phenomenon, linked with one or more mass ejection processes, acts on top of a rotation rate of about 75% of critical or above. In this work, first the definition of Be-stars is contrasted to similar classes, and common observables obtaind for Be-stars are introduced and the respective formation mechanism explained. The current state of knowledge concerning the central stars as non-radially pulsating objects and non-magnetic stars, as far as it concerns large scale. The weak magnetic fields remain possible, but are of yet unproven. In this dissertation Chapter 1 discusses the features of Be- stars and reviewed the progress made in understanding Be-stars in the recent past. Chapter 2 discusses the literature review. Chapter 3 describes the methodology carried out to study the objective. Chapter 4 explains the result and analysis part of the research. Chapter 5 is about the conclusions. -
SPORTS FANDOM AND CONSUMER BUYING BEHAVIOUR
The dissertation aims to find whether the features of sports celebrity endorsements such as- credibility, ensured attention, high degree of recall of the product or service, psychographic connect, associative benefit, motivate a fan specifically, in this case, in their purchase decisions. It is an attempt to understand whether fan clubs, fans and fan cultures are unreceptive to the propagation of celebrity endorsements of products and services through conventional and unconventional advertising. The research aims to identify whether fandom of any kind influences their buying decisions. The theory employed in this research is the Two Step Flow theory of communication, wherein sports stars act as opinion leaders in advertising influence.The research is an attempt to understand if the growing sports celebrity brand endorsements actually have an effect on the buyer to the extent of buying decisions. By the end of the research conducted with the help of questionnaires that were administered to the target audience, the researcher aims to arrive at the conclusion, whether sports fandom indeed affects consumer buying patterns. -
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STATUS OF WOMEN IN FAMILY: A STUDY AMONG WOMEN WORKERS OF ORGANISED AND UNORGANISED SECTORS IN URBAN BANGALORE
This is a study conducted amongst working women of the Organised and Unorganised sector in Urban Bangalore. It is an attempt to understand the status of working women within their family by looking at their involvement in key decision making areas. The key areas that have been identified are distribution of household duties and money related decisions. Patriarchal traditions divide household into two domains the female and male domains. The female domain includes household responsibilities like child care, cooking and cleaning that belong to the woman of the house while the male domain includes money related issues where men are the primary breadwinners and decision makers at home. The study looks at the aspect that despite contributing to the family income, working women have very little involvement in the key decisions of the family. The topic of the study has been crystallised after conducting informal discussions with working women of Organised and Unorganised sectors. During the discussions women stated that even though they are working and making contribution to the household income, they do not feel a part of the key decision making areas within the household. The topic of this study has been chosen to clearly understand the role of working women in decision making at home. The two sectors have been chosen to understand the difference in the attitudes of women working in both sectors given the disparity in the level of their income. Random sampling method has been used to select the samples. The total sample size is 129, 66 from Organised sector and 63 from Unorganised sector. The area chosen for data collection from the Organised sector is software firms, apparel firm, educational institutions, insurance firms and banks. In the Unorganised sector the area chosen for the study is Rajendra Nagar, Koramangala in close vicinity to National Games Village, a residential complex. The respondents work as domestic cleaners and housekeeping staff in National Games Village. Primary data has been collected using questionnaire method substantiated by the case study method. The questionnaire had 58 questions along with four case studies. There are four case studies which focus on the involvement of working women from Organised and Unorganised sectors in decision making within the family to get a better understanding of their day to day lives. The findings of the study are discussed in this dissertation. -
Storytelling: An effective way of advertisement /
When the word advertisement strikes the minds of the audience, the very first thing they tend to do is either change the channel or skip it. The term advertisement has always been as something that is only meant to promote a product or a service. Until the last few years, have always seen advertisement as just an Integrated Marketing Communication. Storytelling form of advertisement is not something we see very often on TV or on the Internet. -
Strategies to manage power outages and optimize energy cost for developing countries through supply and demand side management
Developing Countries like India, face huge amounts of power cuts starting from a few hours to few days. Some of the main reasons are transmission and distribution losses, theft, lack of smart infrastructure, poor maintenance of the existing systems, lack of smart algorithms etc., Due to this reason consumers have moved to back up systems to feed their loads. Tonnes of diesel has been consumed through generators, due to power cuts, because to this consumers are suffering to pay extra cost for electricity as their energy bills are an addition of grid cost as well as the back up cost.The load dispatch centers will implement load shedding leading to a compete outage in a few areas. As a result the consumers in these areas immediately turn on their back up sources leading to an increase in energy cost. There are no smart algorithms used either to distribute the power at the utility end or to manage the loads during an outage, especially when the loads are running on back-up supply. This report suggests some smart algorithms to provide partial power to consumers rather than a complete outage, load shifting techniques to the consumers at the time of an outage so that they can optimize their back up cost, last but not the least smart integration of solar power to the consumers to optimize the over all energy costs. -
Strategies to manage power outages and optimize energy cost for developing countries through supply and demand side management
Developing Countries like India, face huge amounts of power cuts starting from a few hours to few days. Some of the main reasons are transmission and distribution losses, theft, lack of smart infrastructure, poor newlinemaintenance of the existing systems, lack of smart algorithms etc., Due to this reason consumers have moved to back up systems to feed their loads. Tonnes of diesel has been consumed through generators, due to power cuts, because to this consumers are suffering to pay extra cost for electricity as their energy bills are an addition of grid cost as well as the back up cost.The load dispatch centers will implement load shedding leading to a compete outage in a few areas. As a result the consumers in these areas newlineimmediately turn on their back up sources leading to an increase in energy cost. There are no smart algorithms used either to distribute the power at the utility end or to manage the loads during an outage, especially when the loads are running on back-up supply. This report suggests some smart algorithms to provide partial power to consumers rather than a complete outage, load shifting techniques to the consumers at the time of an outage so that they can optimize their back up cost, last but not the least smart newlineintegration of solar power to the consumers to optimize the over all energy costs. newlineThe partial outage algorithm results, in supplying partial power to consumers rather than a complete outage condition this is achieved by implementing a simple unitary method based on the power consumption of the newlineconsumers. By supplying partial power, the consumers can save a certain amount of expenditure on back up cost especially from diesel generators and also utilize the on grid solar generation if the consumer is having a solar roof top installation.