Indian and British Influences in the Identities of Mark Tully’s Travel Writings

As the title of the article ‘Indian and British Influences in the Identities of Mark Tully’s Travel Writings’ the central aims of the research is to study the unending journey in Indian and British Literature through Postcolonial aspect. Though the writer belongs to different culture, he shares some common problem in a colonized nation. The research will focus upon the similar and dissimilar problems of the writer and will study how he has presented the problems during his staying both country, and also focuses how he has influences by Indian people as a travel writer. In the research work, language will a key weapon for the study, so this research will try to bring out how the writer tries to fit in meaning in the respective use of language. The research will also study the structure of these literary forms. The novel is one of the major forms of literature to comprehend the literature of the modern era especially post-colonial literature, has witnessed major upheavals in all its forms and indifferent genres. To understand the cultural identity of a certain nation, the selected novels of Mark Tully have been chosen for the present research paper. The methodology of this article is adopted as interpretative and sociological in nature. MLA 2009 and the web sources would also be utilized

Towards a Theory to Explain Prosocial Data Disclosure - An Explorative Investigation of the Antecedents of Infection Disclosure

The voluntary infection disclosure in contact-tracing applications is a prominent context where individuals disclose their data for the benefit of others, thereby demonstrating a form of prosocial behavior. Defining such distinct types of data disclosures as prosocial data disclosures, we propose that the often-implicit assumption in privacy research that individuals consider benefits and costs solely from a “self-focused” perspective, should be reassessed to develop a new theory to explain prosocial data disclosures. To advance our understanding of the antecedents of prosocial data disclosure, our explorative research consists of a structured literature review and two qualitative surveys among 318 users of a European contact-tracing application. Our results indicate that the antecedents of prosocial data disclosures are generally evaluated from both a “self-focused” and an “other-focused” perspective. Within the specific context of infection disclosures, the main drivers are other-focused benefits while self-focused benefits have almost no relevance

Hypergeometric Equation and Differential-Difference Bispectrality

The bispectral problem was posed by Duistermaat and Grünbaum in 1986. Since then, many interesting links of this problem with nonlinear integrable PDEs, algebraic geometry, orthogonal polynomials and special functions have been found. Bispectral operators of rank one are related to the KP equation and have been completely classified by G. Wilson. For rank greater than 1 some large families related to Bessel functions are known, although the classification problem remains open. If one generalises the bispectral problem by allowing difference operators in the spectral variable, then this has a clear parallel with the three-term recurrence relation in the theory of orthogonal polynomials. This differential-difference version of the bispectral problem has also been studied extensively, more recently in the context of the exceptional orthogonal polynomials. However, the associated special functions have not been treated in such a way, until now. In our work we make a step in that direction by constructing a large family of bispectral operators related to the hypergeometric equation. In this thesis, we will fully explain our construction

Towards a Theory to Explain the Effect of Uncertainty on Prosocial Data Disclosure

Privacy research widely assumes that individuals are less likely to disclose their data if they are uncertain about the consequences of their disclosure decision. This negative effect has been confirmed in various contexts where individuals disclose their data primarily for their own benefit. However, recent studies in behavioral science provide evidence that uncertainty may have a different effect in prosocial contexts. Transferring this to the privacy and data disclosure context, our research study aims to better understand how uncertainty influences prosocial data disclosure, i.e., situations where individuals disclose their data to benefit others. In this short paper, we present the results of qualitative interviews conducted with 19 users of a COVID-19 contact-tracing application and develop hypotheses on how the relevant context-specific uncertainties affect prosocial data disclosure. We hypothesize that a specific type of uncertainty–other- focused impact uncertainty–is positively associated with prosocial data disclosure

Digitized Engineering Notebook

Digitizing engineering notebooks, articles, assignments, multimedia things, event calendar and uploading downloading files from online web portal will certainly help engineering students in their studies. Here in this abstract we are proposing a system where students can share their notebooks on online web portal and others can read it and download it in a PDF format. This system will surly help and make updated all the students about college activities, studies and other activities. Proposed system will implement in Microsoft .Net Framework, C#.Net, ASP.Net and required an IIS web server to run it on live server. Developing this system require an IDE i.e. Visual Studio and backed database MS SQL to keep records of notebooks, data and assignments etc. There will be another super user which will manage student’s record and manage and restrict them to access the system. He can manage projects, assignments and assign to students

Face Identification Using LBP-Based Improved Directional Wavelet Transform

Face identification is the most active area of research in computer vision and biometric authentication. Various face identification methods are developed over the time, still, numerous facial appearances are needed to cope with such as facial expression, pose, and illumination variation. Moreover, faces captured in unrestrained situations also impose immense concern in designing effective face identification methods. It is desirable to extract robust local descriptive features to effectively characterize such facial variations both in unrestrained and restrained situations. This chapter discusses such a face identification method that incorporate a popular local descriptor such as local binary patterns (LBP) based on the improved directional wavelet transform (IDW) method to extract facial features. This designed method is applied to complex face databases such as CASIA-WebFace and LFW which consists of a large number of face images collected under an unrestrained environment with extreme facial variations in expression, pose, and illumination. Experiments and comparison with various methods which include not only the local descriptive methods but also local descriptive-based multiresolution analysis (MRA) based methods demonstrate the efficacy of the LBP-based IDW method

Addressing cost and time barriers in chronic disease management through telemedicine: An exploratory research in select low-and middle-income countries

Despite evidence supporting telehealth provision in developed countries, there is limited evidence regarding its economic benefits for patients living in areas where access and cost present major barriers to health care, particularly in low- and middle-income countries (LMICs). This study explores the economic benefits of telemedicine for patients, in terms of cost and times savings, and its potential role in improving chronic disease outcomes. This retrospective cross-sectional study compared telemedicine services with hypothetical in-person consultations, with a focus on patient travel time and travel cost savings. A database containing teleconsultation visits (N = 25,182) conducted at health facilities in remote regions of Afghanistan, Pakistan, Tajikistan, and the Kyrgyz Republic, was analyzed. A two-sample homoscedastic t test was used to determine differences between the two groups. A one-way sensitivity analysis was also conducted, presuming in-person teleconsultations at 90%, 75%, and 50%. The study extracted data from 25,182 teleconsultation visits (12,814 males; 12,368 females). The cumulative patient savings through the program amounted to USD 9,175,132, and 1,876,146 h, or 213.1 years. A significant difference was seen between the two groups in terms of mean time savings (p-valu