Web-based Visual Analytics for Social Media Data

Social media data provides valuable information about different events, trends and happenings around the world. Visual data analysis tasks for social media data have large computational and storage space requirements. Due to these restrictions, subdivision of data analysis tools into several layers such as Data, Business Logic or Algorithms, and Presentation Layer is often necessary to make them accessible for variety of clients. On server side, social media data analysis algorithms can be implemented and published in the form of web services. Visual Interface can then be implemented in the form of thin clients that call these web services for data querying, exploration, and analysis tasks. In our work, we have implemented a web-based visual analytics tool for social media data analysis. Initially, we extended our existing desktop-based Twitter data analysis application named “ScatterBlog” to create web services based API that provides access to all the data analysis algorithms. In the second phase, we are creating web based visual interface consuming these web services. Some major components of the visual interface include map view, content lens view, abnormal event detection view, Tweets summary view and filtering / visual query module. The tool can then be used by parties from various fields of interest, requiring only a browser to perform social media data analysis tasks

An evaluation of the fast-mixed spectrum reactor

"February 1980."Also issued as an M.S. thesis written by the first author and supervised by the second and third authors, MIT Dept. of Nuclear Engineering, 1980Includes bibliographical references (pages 145-147)An independent evaluation of the neutronic characteristics of a gas-cooled fast-mixed spectrum reactor (FMSR) core design has been performed. A benchmark core configuration for an early FMSR design was provided by Brookhaven National Laboratory, the originators of the concept. The results of the evaluation were compared with those of BNL. Points of comparison included system reactivity and breeding ratio, and region-wise power densities and isotopic compositions as a function of burnup. The results are in sufficiently good agreement to conclude that the neutronic feasibility of the FMSR concept has been independently validated. Significant differences, primarily in higher plutonium isotope concentrations, occur only in regions of low neutronic importance, and plausible reasons for the differences are advanced based on sensitivity studies and comparison of spectral indices. While both M.I.T. and BNL calculations tend to predict that the benchmark design is slightly subcritical, at the beginning of equilibrium cycle, the margin to k = 1.0 is close enough (Ak < 0.03) that the situation can be remedied. Establishment of a consensus fission product cross section set was identified as an objective of merit, since non-negligible differences were found in results computed using various extant sets (BNL, LIB-IV, Japanese). Non-fission heating by gamma and neutron interactions was evaluated for the reference core design using a coupled neutron/gamma cross section set and SN calculations. In the unfueled regions of the core, moderator elements in particular, the non-fission heating rate was found to be significant (averaging about 6 kw/liter), but posed no obvious problems. In fueled regions the common assumption of local deposition of all energy at the point of fission was verified to be a good approximation for most engineering purposes.Engineering and Advanced Reactor Safety Division of the U.S. Department of Energy at Brookhaven National Laboratory contract 472241-

Can Chatbots like GPT-4 replace human coaches: Issues and dilemmas for the coaching profession, coaching clients and for organisations

The advent of artificial intelligence (AI) and machine learning (ML) has led to the speculation that chatbots could revolutionise the coaching industry in the coming decade, replacing humans as the main provider of coaching conversations. The development of GPT4 has led to these bots becoming increasingly sophisticated and effective at providing support and guidance in various fields. Coaching providers have been quick to operationalise these generative language tools to create new products like AIMY, evoach and Vici. This paper examines the potential of AI chatbots and their integration into coaching tools. It will review the advantages and current limitations of AI coaching chatbots and offer a preliminary definition for the field, seeking to differentiate chatbots from human coaching. The paper also explores the role of coaching psychology, professional bodies and governments in the development and evolution of AI systems and coaching chatbots, and suggests the urgent need for action to protect clients and organisations from unregulated and unethical practices

Said Nursi’s Notion of ‘Sacred Science’: Its Function and Application in Hizmet High School Education

This paper explores the teaching of natural science subjects in high schools associated with the Gülen-Hizmet movement in Turkey. It focuses on the apparent reconciliation of scientific learning in a pervasive, albeit unofficial, Sunni Islamic religious culture. The framework for such an accommodation is found in the teachings of Fethullah Gülen and his predecessor, Said Nursi. Following Nursi, Gülen encourages scientific pursuit, and intellectual knowledge in general, as a pious and spiritually meritorious act. Drawing on fieldwork conducted at two Hizmet-affiliated high schools in Turkey, this article explores the “sanctification” of science and learning in the Gülen Movement by highlighting the principle of fedakarlık (self-sacrifice), as the primary motivation of the teaching staff. Focusing also on the schools’ highly disciplined and competitive learning environments (as exemplified in preparations for the prestigious International Science Olympiads), the article suggests that although teacher commitment and prestigious competitive awards bolster the Hizmet schools’ market competitiveness, they fail in actually producing students who pursue careers in natural science fields. By contrast, this article concludes that the movement’s engagement with science, at least at present, is less interested in furthering scientific inquiry than it is in equipping what Gülen has called a ‘Golden Generation’ with the tools it needs to compete with secularist rivals in Turkey

Generation Y : Are British organisations ready for younger executive coaches? A Mixed Methods Study

Research within coaching (Feldman &amp; Lankau, 2005) suggests that background characteristics may influence the perceived credibility of the coach. With an increase in the number of younger coaches entering the profession, this present study focuses particularly on the age of the coach as an influencing factor for clients when selecting a coach. A mixed method design was adopted, with thirty four participants ranking their perceived importance of twenty-three coaches’ attributes in an online survey. Qualitative data derived from semi-structured interviews with six coaches were analysed using Thematic Analysis. The results suggest that ‘personal rapport’ and ‘effectiveness of coaching process’ are the most valued attributes of potential executive coachees. ‘Age’ was ranked as fourth least important of twenty three attributes. However, themes emerging from the qualitative data suggest age can still be a barrier in the hiring of coaches aged under thirty. Practically, this research high- lights particular challenges for Gen Y coaching practitioners and offers specific recommendations for young practitioners contemplating entering the executive coaching industry

Symposium on nutrition and cognition: towards research and application for different life stages. (Congress)

Asia Pacific Journal of Clinical Nutrition211104-12