Miracle-dz/UniFAR-FTUs huggingface dataset:
The Strategic Samaritan: How Effectiveness and Proximity Affect Corporate Responses to External Crises

ABSTRACT: This research examines how two dimensions of moral intensity involved in a corporation’s external crisis response—magnitude of effectiveness and interpersonal proximity—influence observer perceptions of and behavioral intentions toward the corporation. Across three studies, effectiveness decreased negative perceptions and increased pro-organizational intentions via ethical judgment of the response. Moreover, the two dimensions interacted such that a response high in proximity but low in effectiveness led to more negative perceptions and to less pro-organizational intentions. This interaction was particularly pronounced if the corporation portrayed itself as communal-oriented. The interaction was mediated by individuals’ ethical judgment, which was a function of the corporation’s perceived benevolent concern. We termed the interaction the Strategic Samaritan, for it was when the corporation tried to appear like a Good Samaritan, displaying proximity with victims but not accompanying it with effective help, that it was seen as acting with less benevolent concern.
Keep Up With eHealth ? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research Monitoring

Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin Madison, Madison, WI, United States Center for Health Enhancement Systems Studies (CHESS), Industrial & Systems Engineering, University of Wisconsin Madison, Madison, WI, United States Mass Communication Research Center, School of Journalism and Mass Communication, University of Wisconsin Madison, Madison, WI, United States Timothy B Baker, Center for Tobacco Research and Intervention, School of Medicine and Public Health, University of Wisconsin Madison, 1930 Monroe St, Madison, WI, 53711, United States, Phone: 1 608 692 2009, Fax: 1 608 265 3102, Email: tbb@ctri.medicine. wisc.edu. Corresponding author. Contributed equally. Corresponding Author: Timothy B Baker ; Email: tbb@ctri.medicine. wisc.edu
Astrometry 24 . NET – precise astrometry for SST and NEO Conference or Workshop Item

Astrometry24.NET (A24N) is the first openly available online tool for precise astrometry of astronomical objects able to provide an astrometric solution for both point sources as well as streaks left by non-sidereal moving objects (satellites and space debris or NearEarth Objects NEOs). A24N is accessible by the end user through three interfaces a) a web browser with modern, responsive UI, b) a cross-platform Command Line Interface (CLI) and c) programmatically through a RESTful API. It makes use of state-of-the-art IT technologies and specifically developed detection and analysis algorithms, utilizing cloud premises, which allow for inexpensive Service Level Agreement (SLA) up to 99.9%. Processing is available on-demand, with optimized load balancing, depending on the actual usage. The architecture of the system, catalogue support, and the astrometric engine behind A24N are first described, followed by the description of the dedicated web portal, built on top of Sybilla Technologies AstroDrive engine, which enables the user to easily upload, store, search, view and manipulate their data. We show the results obtained by the service from synthetic and real data sets. NEO data from ESA Optical Ground Station (OGS) were used, reduced with A24N, Astrometrica and compared (as ground truth) with ephemerides provided from JPL Horizons. For the simulated data tests, a dedicated synthetic frames generator has been developed, which allows one to reproduce all major error sources and isolate their effect. A24N has been tried and tested on a number of data sets from various observatories, including the ESA OGS and the Test Bed Telescope (TBT) in Spain, as well as observatories belonging to the Open University (UK), Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences (Poland), Max Planck Institute for Extraterrestrial Physics (Germany, COG), Mt. Suhora Observatory of the Pedagogical University in Cracow (Poland), and Comenius University (Slovakia). Long-term monitoring of the COG sensor accuracy, precision and offset has been conducted, as well as observations of Geostationary Orbit (GEO) drifters to test the algorithms and architecture in the production environment. The results of the campaign are presented.
THE ROLE OF THE TRANSCENDENTAL MEDITATION PROGRAMME IN THE PROMOTION .OF ATHLETIC EXCELLENCE: LONG- AND SHORT-TERM EFFECTS AND THEIR RELATION TO ACTIVATION THEORY

Reduced oxygen consumption, increased basal skin resistance, and fewer spontaneous skin resistance responses were found during the Transcendental Meditation technique. Regular practice of Transcendental Meditation was found to produce both shortand long-term improvements in athletic performance and physiological development. Improvements were found on tasks involving low, medium, and high activation, thus indicating both increased efficiency and greater flexibility of physiological functioning. -EDITORS
Reflexivity in Credit Markets

Reflexivity is the idea that investors' biased beliefs affect market outcomes, and that market outcomes in turn affect investors' beliefs. We develop a behavioral model of the credit cycle featuring such a two-way feedback loop. In our model, investors form beliefs about firms' creditworthiness, in part, by extrapolating past default rates. Investor beliefs influence firms' actual creditworthiness because firms that can refinance maturing debt on favorable terms are less likely to default in the short-run—even if fundamentals do not justify investors' generosity. Our model is able to match many features of credit booms and busts, including the imperfect synchronization of credit cycles with the real economy, the negative relationship between past credit growth and the future return on risky bonds, and "calm before the storm" periods in which firm fundamentals have deteriorated but the credit market has not yet turned.
Stable Robbins-Monro approximations through stochastic proximal updates

The need for parameter estimation with massive data has reinvigorated interest in iterative estimation procedures. Stochastic approximations, such as stochastic gradient descent, are at the forefront of this recent development because they yield simple, generic, and extremely fast iterative estimation procedures. Such stochastic approximations, however, are often numerically unstable. As a consequence, current practice has turned to proximal operators, which can induce stable parameter updates within iterations. While the majority of classical iterative estimation procedures are subsumed by the framework of Robbins and Monro (1951), there is no such generalization for stochastic approximations with proximal updates. In this paper, we conceptualize a general stochastic approximation method with proximal updates. This method can be applied even in situations where the analytical form of the objective is not known, and so it generalizes many stochastic gradient procedures with proximal operators currently in use. Our theoretical analysis indicates that the proposed method has important stability benefits over the classical stochastic approximation method. Exact instantiations of the proposed method are challenging, but we show that approximate instantiations lead to procedures that are easy to implement, and still dominate classical procedures by achieving numerical stability without tradeoffs. This last advantage is akin to that seen in deterministic proximal optimization, where the framework is typically impossible to instantiate exactly, but where approximate instantiations lead to new optimization procedures that dominate classical ones.
Characterization of Language Cortex Activity During Speech Production and Perception

CHARACTERIZATION OF LANGUAGE CORTEX ACTIVITY DURING SPEECH PRODUCTION AND PERCEPTION Hassan Baker Old Dominion University, 2018 Director: Dr. Dean Krusienski Millions of people around the world suffer from severe neuromuscular disorders such as spinal cord injury, cerebral palsy, amyotrophic lateral sclerosis (ALS), and others. Many of these individuals cannot perform daily tasks without assistance and depend on caregivers, which adversely impacts their quality of life. A Brain-Computer Interface (BCI) is technology that aims to give these people the ability to interact with their environment and communicate with the outside world. Many recent studies have attempted to decode spoken and imagined speech directly from brain signals toward the development of a natural-speech BCI. However, the current progress has not reached practical application. An approach to improve the performance of this technology is to better understand the underlying speech processes in the brain for further optimization of existing models. In order to extend research in this direction, this thesis aims to characterize and decode the auditory and articulatory features from the motor cortex using the electrocorticogram (ECoG). Consonants were chosen as auditory representations, and both places of articulation and manners of articulation were chosen as articulatory representations. The auditory and articulatory representations were decoded at different time lags with respect to the speech onset to determine optimal temporal decoding parameters. In addition, this work explores the role of the temporal lobe during speech production directly from ECoG signals. A novel decoding model using temporal lobe activity was developed to predict a spectral representation of the speech envelope during speech production. This new knowledge may be used to enhance existing speech-based BCI systems, which will offer a more natural communication modality. In addition, the work contributes to the field of speech neurophysiology by providing a better understanding of speech processes in the brain.
The influence of organizational environment on mobile game development team effectiveness – A single case study

The mobile gaming industry is a fast-growing and lucrative market, which has surpassed the money generated by consoles and PC games, and the market is going to grow continuously. Games are produced by teams that need to have diverse technical and creative skills and competences as well as good understanding of customer expectations. Nonetheless, there is limited literature on mobile game development teams, and particularly on the management practices and organizational structures that support their functioning. Therefore, this research sets out to discover how organizational environment affects the effectiveness of game development teams. Since this study only focuses on the influence of organizational environment, the team effectiveness model introduced by McShane and Von Glinow was adopted. The thesis divides organizational environment into organizational structure and leadership styles for further study. Literature about team design and team processes is also discussed in this study from in the context of mobile game development. Finally, a theoretical framework was drawn based on the reviewed literature. The empirical part of this research was conducted as a single case study. Empirical data was collected through interviews in the case company with top management and team leaders, who are involved in game development and decision-making process. The case company's games have occupied the top positions in top grossing list in AppStore, which makes it interesting for the empirical investigation. The findings of this thesis explain that organizational environment affects team design gradually. It is like a pyramid where the foundation is a flat organization which helps the company with team composition. In the middle of the pyramid is the stable organizational environment which helps with team stability. On top of the pyramid, the organic organizational structure and servant leadership, which is built upon flat and stable organizational environment, helps development teams to be autonomous. Right members in teams, high extent of team stability and team autonomy altogether have positive effects on team processes and in turn increase team effectiveness. In addition, a balance between autonomy and control is a critical issue for managers to consider. In this study, some practicalities learned from the case study were provided. Thus, this study provides implications for mobile gaming companies by investigating teams' functioning responsive for development of successfully games.
High-Rise Building 3D Reconstruction with the Wrapped Interferometric Phase

The great development of high-resolution SAR system gives more opportunities to observe building structures in detail, especially the advanced interferometric SAR (InSAR), which techniques attract more attention on exploiting useful information on urban infrastructures. Considering that the high-rise buildings in urban areas are quite common in big cities, it is of great importance to retrieve the three-dimension (3D) information of the urban high-rise buildings in urban remote sensing applications. In this paper, the 3D reconstruction of high-rise buildings using the wrapped InSAR phase image was studied, referring to the geometric modulation in very high resolution (VHR) SAR images, such as serious layover cause by high-rise buildings. Under the assumption of a rectangular shape, the high-rise buildings were detected and building façades were extracted based on the local frequency analysis of the layover fringe patterns. Then 3D information of buildings were finally extracted according to the detected façade geometry. Except for testing on a small urban area from the TanDEM-X data, the experiment carried on the single-pass InSAR wrapped phase in the wide urban scene, which was collected by the Chinese airborne N-SAR system, also demonstrated the possibility and applicability of the approach.
Best of the Literature

At first glance, the twin topics for this column may seem to be an especially odd pairing. What, the reader may well ask, could Massive Open Online Courses (MOOCs) and do-it-yourself craftsmanship skills possibly have in common? On the one hand, the makers subculture seems to be about individuals or small groups locally engaged in creating equally small handmade projects. At the opposite end of the spectrum is mass production system at a nearly unimaginable size, with tens of thousands of students in virtual spaces all around the globe. The obvious answer for commonality, of course, is that both currently are very much in the news. The New York Times has gone so far as to proclaim this the year of the MOOC (Pappano, 2012). At the same time, at the recent American Library Association Midwinter Meeting in Seattle, a debut event titled Maker Monday, drew large attendance and interest (Borman, 2013). Looking beyond the latest buzzwords, there are other parallels. Both maker and massive spaces are about large and small technologies, communities, transformation, and openness. Both movements lower barriers to access, allowing a greater number to participate in previously closed conversations. In both groups, people are connecting to each other in new and different ways, signaling a change from previous models. And, together these are trends that are worth watching, especially for information professionals wondering where the library will fit in.
Because

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Overwhelmed by negative emotions?: maybe you are being cyber-bullied!

With the increasing number of interactions, social media users have been vulnerable to intentional aggressive acts and cyberbullying instances. In this paper, first, we carry out a message-level cyberbullying annotation on an Instagram dataset. Second, we use the correlations on the Instagram dataset annotated with emotion, sentiment and bullying labels. Third, we build a message-level emotion classifier automatically predicting emotion labels for each comment in the Vine bullying dataset. Fourth, we build a session-based bullying classifier with the use of n-grams, emotion, sentiment and concept-level features. For both emotion and bullying classifiers, we use Linear Support Vector Classification. Our results show that "anger" and "negative" labels have a positive correlation with the presence of bullying. Concept-level features, emotion and sentiment features in different levels contribute to the bullying classifier, especially to the bullying class. Our best performing bullying classifier with n-grams and concept-level features (e.g., polarity, averaged polarity intensity, moodtags and semantics features) reaches to an F1-score of 0.65 for bullying class and a macro average F1-score of 0.7520.
The Effect of Adapted Model of Mastery Learning on Cognitive and Practical Learning of Nursing Students

Introduction: Effective clinical teaching requires educational methods capable of developing an appropriate level of knowledge and practice in students. The aim of this study was to investigate the effect of adapted model of mastery learning on cognitive and practical learning of nursing students. Methods: In a quasi-experimental study using pre-test and post-test with two group design, 52 nursing students were selected through census sampling method and placed randomly in 6 experiment and 6 control groups, each group containing 4 to 5 people. After taking the cognitive and practical pre-tests, control group received traditional education and experiment group went under clinical education using adapted model of mastery learning for 12 days. At final step, the post-tests were held. An achievement test and 4 checklists were designed for data gathering. The results were analyzed by SPSS software using Wilcoxon and Mann Whitney tests. Results: Both methods of clinical education were effective in promoting cognitive and practical learning of students. Comparing the difference between the means of pre-test and post-test of cognitive and practical learning in the two groups, showed a higher difference in the experiment group in all items. Conclusion: The effect of adapted model of mastery learning on cognitive and practical learning of nursing students was more than the traditional method of clinical education. Therefore, it is recommended to use this model in clinical education.
Combined Cross-Linked Enzyme Aggregates as Biocatalysts

Enzymes are efficient biocatalysts providing an important tool in many industrial biocatalytic processes. Currently, the immobilized enzymes prepared by the cross-linked enzyme aggregates (CLEAs) have drawn much attention due to their simple preparation and high catalytic efficiency. Combined cross-linked enzyme aggregates (combi-CLEAs) including multiple enzymes have significant advantages for practical applications. In this review, the conditions or factors for the preparation of combi-CLEAs such as the proportion of enzymes, the type of cross-linker, and coupling temperature were discussed based on the reaction mechanism. The recent applications of combi-CLEAs were also reviewed.
Apoptotic Action of 17β-Estradiol in Raloxifene-Resistant MCF-7 Cells In Vitro and In Vivo

BACKGROUND Resistance to tamoxifen, a selective estrogen receptor modulator (SERM), involves changes that prevent apoptosis and enhance cell proliferation and survival. Paradoxically, estrogen treatment inhibits the growth of long-term tamoxifen-treated breast tumors. Because of the increasing use of raloxifene, another SERM, to prevent osteoporosis and potentially reduce breast cancer risk, some women will develop raloxifene-resistant breast cancer. We developed a raloxifene-resistant MCF-7 cell model (MCF-7/Ral) and investigated the nature of raloxifene-resistant breast cancer and its response to estradiol. METHODS Raloxifene resistance and hormone responsiveness were assessed by proliferation assays and cell cycle analysis in parental MCF-7 and MCF-7/Ral cells. Nuclear factor kappaB (NF-kappaB) activity was investigated with a transient transfection assay. Apoptosis was investigated by annexin V staining, mRNA was measured by real-time polymerase chain reaction, and protein was measured by western blotting. Tumorigenesis was studied by injecting MCF-7 or MCF-7/Ral cells into ovariectomized athymic mice (10 per group) and monitoring tumor size weekly. All statistical tests were two-sided. RESULTS Basal NF-kappaB activity was higher in MCF-7/Ral cells (1.6 U, 95% confidence interval [CI] = 1.2 to 2.0 U) than in MCF-7 cells (0.8 U, 95% CI = 0.4 to 1.1 U; P =.004). When cultured with 1 microM raloxifene, MCF-7/Ral cells grew statistically significantly (P<.001) faster than MCF-7 cells. Estradiol treatment of MCF-7/Ral cells arrested cells in G(2)/M phase of the cell cycle, decreased NF-kappaB activity (0.2 U, 95% CI = 0.2 to 0.3 U; P<.001), increased expression of Fas protein and mRNA (4.5-fold, 95% CI = 2.8- to 6.3-fold versus 0.5-fold, 95% CI = 0.3- to 0.8-fold for control treatment; P<.001), and induced apoptosis. Treatment with either raloxifene or tamoxifen stimulated MCF-7/Ral tumor growth, suggesting that such tumors were resistant to both drugs. When a 9-week raloxifene or tamoxifen treatment was followed by a 5-week estradiol treatment, estradiol statistically significantly reduced the size of tumors stimulated by raloxifene or tamoxifen (at week 14, P =.004 for raloxifene and P<.001 for tamoxifen). CONCLUSIONS Growth of raloxifene-resistant MCF-7/Ral cells in vitro and in vivo is repressed by estradiol treatment by a mechanism involving G2/M-phase arrest, decreased NF-kappaB activity, and increased Fas expression to induce apoptosis.
Characteristics of the Portuguese Economic Growth: What has been Missing?

This paper analyzes the Portuguese economic growth since the 1960's until present and compares its composition with that of Spain, Greece and Ireland. The average real GDP growth rate in each decade is decomposed as the contribution of input accumulation and total factor productivity. The contribution of labour and capital is separated using computed elasticities and the contribution of total factor productivity is disentangled into technological progress and efficiency. The methodology is based on Bayesian statistical methods and allows the computation of a world translog dynamic stochastic production frontier, which captures the technology that is available to all economies in each period of time. The results obtained are accurate in terms of the contribution of input accumulation and total factor productivity to GDP growth but there is lower precision when separating the contributions of technology growth and efficiency. The results obtained show that Portugal owes most of its economic growth to the accumulation of factors and not to total factor productivity. In particular the contribution of technology to economic growth is substantially lower than what is observed in the other economies considered. It is argued that this may be due to the existence of a low capital-labour ratio, which determines that Portugal is placed in a segment of the world production frontier that does not expand significantly as a result of technological progress. In addition, there is some evidence of modest developments in terms of efficiency which may be associated with the low quality of new inputs relatively to other economies. Another possible explanation for the disappointing performance of the Portuguese economy in the last decade lies in the existence of statistical inaccuracies in the measurement of GDP, especially in what concerns the contribution of some services.