Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining the relationship between satisfaction, intentions, and post-trip communication behaviour of active event sport tourists

ABSTRACT The establishment of small-scale active sport events continues to rise at destinations around the world. These events draw visitors to a destination for the purpose of engaging in an active sporting event. Tourists visiting a destination for sport events have the potential to become repeat visitors and promoters of the destination to others. Measuring the satisfaction of tourists is a common practice, and satisfied visitors are more likely to express intentions to return to a destination or recommend that destination to others. But do they really speak positively about the destination to others? This study sought to extend the research on the relationship between satisfaction and recommendation behaviour by measuring the post-visit behaviour of active event sport tourists. Participants in a three day bike race event in La Crosse, Wisconsin completed a survey two weeks after the event. Researchers examined their race satisfaction, destination satisfaction, intentions to recommend the destination, and actual post-visit communication behaviour. Results suggest that participants have the capability of differentiating between event and destination satisfaction when evaluating their future intentions. Furthermore, intentions were significantly correlated with actual post-visit recommendation behaviour, including posting positive messages on social media. Intentions to recommend did not significantly correlate with the frequency of pictures or videos shared on social media.
Mouse Pancreatic Endocrine Cell Transcriptome Defined in the Embryonic Ngn3-Null Mouse

OBJECTIVE—To document the transcriptome of the pancreatic islet during the early and late development of the mouse pancreas and highlight the qualitative and quantitative features of gene expression that contribute to the specification, growth, and differentiation of the major endocrine cell types. A further objective was to identify endocrine cell biomarkers, targets of diabetic autoimmunity, and regulatory pathways underlying islet responses to physiological and pathological stimuli. RESEARCH DESIGN AND METHODS—mRNA expression profiling was performed by microarray analysis of e12.5–18.5 embryonic pancreas from neurogenin 3 (Ngn3)-null mice, a background that abrogates endocrine pancreatic differentiation. The intersection of this data with mRNA expression in isolated adult pancreatic islets and pancreatic endocrine tumor cell lines was determined to compile lists of genes that are specifically expressed in endocrine cells. RESULTS—The data provided insight into the transcriptional and morphogenetic factors that may play major roles in patterning and differentiation of the endocrine lineage before and during the secondary transition of endocrine development, as well as genes that control the glucose responsiveness of the β-cells and candidate diabetes autoantigens, such as insulin, IA-2 and Slc30a8 (ZnT8). The results are presented as downloadable gene lists, available at https://www.cbil. upenn.edu/RADQuerier/php/displayStudy.php? study_id=1330, stratified by predictive scores of relative cell-type specificity. CONCLUSIONS—The deposited data provide a rich resource that can be used to address diverse questions related to islet developmental and cell biology and the pathogenesis of type 1 and 2 diabetes.
What Drives Populist Styles? Analyzing Immigration and Labor Market News in 11 Countries

The success of populist political actors in Western democracies and the dramatization and emotionality of political communication in news media have been the object of several theoretical and empirical studies in the past decade. It has been argued that the mediatization of politics and the convergence of populist and tabloid communication styles foster these developments by mutual promotion in mass communication. This article uses a cross-national quantitative content analysis to disentangle associations among news genres, populist actors, content, and style. In spite of indisputable prevalence of populist styles in tabloid style media, populist ideology is identified as their strongest source.
Enhanced ADS-B Research

Automatic dependent surveillance-broadcast (ADS-B) is gaining acceptance around the world as the next-generation surveillance technology. It can provide surveillance to air traffic controllers to support today's procedures as well as surveillance in the cockpit to support air-to-air applications. Pilots and ground personnel have begun to benefit from this technology but further benefits from technological improvements can still be realized. These improvements include security, increased data capacity, and advanced applications (4D trajectory and data exchange). To this end research is currently being performed by Sensis Corporation in cooperation with NASA Glenn research center to provide enhancements to the ADS-B UAT (universal access transceiver) data link. The research goal is to encourage user acceptance by improving upon existing capability and usability along with providing a roadmap and demonstrations of future data link capability
A Fluorescence in Situ Hybridization Map of 6 q Deletions in Acute Lymphocytic Leukemia : Identification and Analysis of a Candidate Tumor Suppressor Gene

With the objective of identifying candidate tumor suppressor genes, we used fluorescence in situ hybridization to map leukemia-related deletions of the long arm of chromosome 6 (6q). Twenty of 24 deletions overlapped to define a 4.8-Mb region of minimal deletion between markers D6S1510 and D6S1692 within chromosome 6 band q16. Using reverse transcriptionPCR, we found evidence of expression in hematopoietic cells for 3 of 15 genes in the region (GRIK2, C6orf111, and CCNC). Comparison between our own and published deletion data singled out GRIK2 as the gene most frequently affected by deletions of 6q in acute lymphocytic leukemia (ALL). Sequence analysis of GRIK2 in 14 ALL cases carrying heterozygous 6q deletions revealed a constitutional and paternally inherited C to G substitution in exon 6 encoding for an amino acid change in one patient. The substitution was absent among 232 normal alleles tested, leaving open the possibility that heterozygous carriers of such mutations may be susceptible to ALL. Although low in all normal hematopoietic tissues, quantitative reverse transcription-PCR showed higher baseline GRIK2 expression in thymus and T cells than other lineages. Among T-cell ALL patients, 6q deletion was associated with a statistically significant reduction in GRIK2 expression (P 0.0001). By contrast, elevated GRIK2 expression was measured in the myelomonocytic line THP-1 and in one patient with common ALL. Finally, we detected significant levels of GRIK2 expression in prostate, kidney, trachea, and lung, raising the possibility that this gene may be protective against multiple tumor types.
Orientation angle estimation over forested terrain using P-band POLSAR data

One important secondary objective of the proposed Earth-Explorer Candidate Mission BIOMASS is the retrieval of a digital terrain model (DTM) using satellite-borne P-band SAR data. The interferometric phase acquired in repeat-pass mode may be affected by ionospheric effects leading to corrupted phase estimates and, consequently, to errors in the derived DTM. In contrast, line-of-sight orientation angles induced by azimuth slopes can be estimated using single-pass POLSAR measurements. The orientation angle estimates allow a necessary pre-processing of POLSAR observations and the retrieval of topographic information such as a DTM. In this study, the performance of the circular polarization method for orientation angle estimation is examined over forested areas. To this end, the orientation angles computed from P-band POLSAR data are compared with the results obtained from LIDAR DTMs. In particular, the estimation performance is investigated with respect to the impact of topography and vegetation. POLSAR data at P-band are used that have been acquired by the E-SAR system of DLR over three forested test sites: two boreal forests in Sweden (one over flat terrain located at Remningstorp, the other over terrain with topographic variations at Krycklan) and the tropical forest Mawas in Indonesia over flat terrain.
A Unified Continuous Optimization Framework for Center-Based Clustering Methods

Center-based partitioning clustering algorithms rely on minimizing an appropriately formulated objective function, and different formulations suggest different possible algorithms. In this paper, we start with the standard nonconvex and nonsmooth formulation of the partitioning clustering problem. We demonstrate that within this elementary formulation, convex analysis tools and optimization theory provide a unifying language and framework to design, analyze and extend hard and soft center-based clustering algorithms, through a generic algorithm which retains the computational simplicity of the popular k-means scheme. We show that several well known and more recent center-based clustering algorithms, which have been derived either heuristically, or/and have emerged from intuitive analogies in physics, statistical techniques and information theoretic perspectives can be recovered as special cases of the proposed analysis and we streamline their relationships.
ALTERNATING MINIMIZATION DIRECTION METHOD FOR A NOVEL TOTAL VARIATION BASED WAVELET SHRINKAGE MODEL

In this paper, we introduce a novel hybrid variational model which generalizes the classical total variation method and the wavelet shrinkage method. An alternating minimization direction algorithm is then employed. And we prove that it converges strongly to the minimizer of the proposed hybrid model. Finally, some numerical examples illustrate clearly that the new model outperforms the standard total variation method and wavelet shrinkage method as it recovers better image details and avoids the Gibbs oscillations.
Thick Points of the Gaussian Free Field

Xia Hua The d − dimensional Gaussian free field (GFF) is a natural d − dimensional dimensional time analog of Brownian motion. It places an important role in statistical physics and the theory of random surfaces. This term paper will focus on the case where d = 2. Let D ⊂ C be a bounded domain with smooth boundary and C ∞ 0 (D) denote the set of smooth functions compactly supported in D. The Dirichlet inner product is defined by (f, g) = D f · gdx. Let H(D) denote the Hilbert space closure of C ∞ 0 (U) under (·, ·). The continuum Gaussian free field (GFF) on D is defined formally as a random linear combination (1) h = ∞ j=1 α j f j , where f j are an ordered orthonormal basis for H(D) and α i are i.i. d. Gaussian variables defined on the canonical probability space (Ω = R N , F, µ). The formal series (1) does not converge in H(D) almost surely but it converges in L a (D) for any a > 0 if d = 2 (Sheffield, 2007). However for any f = j β j f j ∈ H(D) since j β j < ∞, j β j α j converges almost surely. Therefore (h, f) := j β j α j is almost surely well-defined and is a Gaussian variable with mean zero and variance (f, f). Furthermore the map f ∈ H(D) → (h, f) ∈ Ω inherits the Dirichlet innor product structure of H(D), that is (2) E[(h, f) (h, g) ] = (f, g) .
Cavity quantum electrodynamics with a single quantum dot coupled to a photonic molecule

We demonstrate the effects of cavity quantum electrodynamics for a quantum dot coupled to a photonic molecule, consisting of a pair of coupled photonic crystal cavities. We show anti-crossing between the quantum dot and the two super-modes of the photonic molecule, signifying achievement of the strong coupling regime. From the anti-crossing data, we estimate the contributions of both mode-coupling and intrinsic detuning to the total detuning between the super-modes. Finally, we also show signatures of off-resonant cavity-cavity interaction in the photonic molecule.
FaCT and iFaCT

FaCT (Fast Classification of Terminologies) is a Description Logic (DL) classifier which has been implemented as a test-bed for a sound and complete tableaux satisfiability/subsumption testing algorithm. FaCT’s novelty lies in its relatively expressive logic and its highly optimised implementation of the tableaux algorithm. iFaCT is an extension of FaCT that supports reasoning with inverse roles. The resulting logic is particularly interesting as it no longer has the finite model property.
The Treatment of Outliers and Influential Observations in Regression-Based Impact Evaluation

The treatment of outliers and influential observations in multivariate regression analysis is becoming a pressing issue as more utilities move to regression-based analysis in the evaluation of DSM programs. Because the treatment selected for outliers and influential observations can significantly affect the evaluation outcome, this issue has gained the attention of evaluators and regulators alike. This is a complex issue and is just beginning to be explored in current evaluation literature. This paper presents an overview of some current problems and a review of some options available to evaluators seeking to resolve these issues.
Dietary Caffeine Consumption Modulates fMRI Measures

Caffeine is the most widely used stimulant in the world. The stimulant effects of caffeine are mediated through its antagonistic properties on neuronal adenosine receptors. In addition, caffeine blocks neurovascular adenosine receptors and decreases cerebral perfusion. Although the effects of caffeine on blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging measures are extremely important, there are few studies addressing this issue in the literature. Because chronic caffeine use causes an upregulation of adenosine receptors, the differential effects of caffeine in low and high users is of particular interest. The present study was designed to test the hypothesis that caffeine has differential effects on the BOLD signal in high and low caffeine users. We demonstrated that the BOLD signal change in visual cortex was significantly greater in high users than in low users in the presence of caffeine. In addition, the magnitude of the BOLD signal was significantly correlated with caffeine consumption. We propose that the outcome observed here was due to an upregulation of adenosine receptors in high users, resulting in differential contributions of the neural and vascular effects of adenosine in the two study populations.
Online adaptation for video sharing applications

The main concept of Peer-to-Peer (P2P) streaming is that viewers will contribute their bandwidth to the overlay and act as a relay for the video streams. In this paper, we introduce how a peer may implement an adaptive streaming scheme to serve peers in a P2P application. The technical contribution of this paper is to present the effectiveness and feasibility of utilizing the available computing power of the participating peers to serve mobile and heterogeneous clients by adapting the video content on the fly. The benefit is that there is no need for a dedicated adaptation or streaming server deployed in the system for video streaming/sharing applications. We emphasize on structured metadata-based adaptation and streaming utilizing MPEG-21 gBSD. Here, we briefly illustrate our scheme and present some experimental evaluations supporting our design choices.
Privacy-enhanced Intelligent Automatic Form Filling for Context-aware Services on Mobile Devices

In this paper we describe our approach to intelligent automatic form filling in the context of mobile services based on user data. In a small study we show that manual form filling is slow and perceived a stressful task. And hence it is not surprising that most current mobile services provide primary information, more complex interactions such as ordering a specific product are often very complicate and time consuming tasks or are even not provided. In our approach the individual forms elements are preset based on the content and context of the form, existing rules and the user’s preferences. Our work is grounded in an analysis of requirements. We investigated popular current WAP based mobile services and their characteristics. Through an analysis of conventional HTML based services we concluded which data a user has to type in when filling out a form. Furthermore we analyzed the behavior of people during filling out forms. Based on these observations and additional interviews, we present an overall architecture. A prototype, taking into account these findings is outlined at the end of the paper.
Learning Recommendation System for Automated Service Composition

The as a Service paradigm reflects the fundamental idea of providing basic coherent functionality in terms of components that can be utilized on demand. These so-called services may also be interconnected in order to provide more complex functionality. Automation of this service composition process is indeed a formidable challenge. In our work, we are addressing this challenge by decomposing service composition into sequential decision making steps. Each step is supported by a recommendation mechanism. If composition requests recur over time and if evaluations of composition results are fed back, a proper recommendation strategy can evolve over time through learning from experience. In this paper, we describe our general idea of modeling this service composition and recommendation process as Markov Decision Process and of solving it by means of Reinforcement Learning. A case study serves as proof of concept.
Image retrieval by geological proximity using deep neural network

Associating image content with their geo-location has long been pursued. Many solutions focus on descriptor extraction and correspondence matching to measure image similarity by visual features, and infer the location from similar images. Other solutions utilize the correspondence of descriptors to reconstruct 3D model for image location calculation. However, the descriptor based solutions are usu-ally computationally heavy and the similarity measurement is unreliable for buildings of similar textures, which is quite common if the image comes from a wide area. In this paper, we leverage a modified deep neural network to estimate images geo-location similarity rather than visual appearance similarity, to deal with cases where images of different location but with resembling visual features. Our model builds upon the ability of neural network to extract high level features and the back-propagation can maximize the tiny difference of visually-similar images. We collected tens of thousands photos on campus, with many visually resembling, but different location ones. Experiments show that using geo-location similarity measurement can correctly deal with such cases.
Multilingual Semantic Linking for Video Streams: Making "Ideas Worth Sharing" More Accessible

This paper describes our submission to the Developers Challenge at WoLE2013, “Doing Good by Linking Entities. ” We present a fully automatic system which provides intelligent suggestions in the form of links to Wikipedia articles for video streams in multiple languages, based on the subtitles that accompany the visual content. The system is applied to online conference talks. In particular, we adapt a recently proposed semantic linking approach for streams of television broadcasts to facilitate generating contextual links while a TED talk is being viewed. TED is a highly popular global conference series covering many research domains; the publicly available talks have accumulated a total view count of over one billion at the time of writing. We exploit the multilinguality of Wikipedia and the TED subtitles to provide contextual suggestions in the language of the user watching a video. In this way, a vast source of educational and intellectual content is disclosed to a broad audience that might otherwise experience diﬃculties interpreting it.
Matrix completions, norms and Hadamard products

Let M m,n (respectively, H n ) denote the space of m × n complex matrices (respectively, n × n Hermitian matrices). Let S ⊂ H n be a closed convex set. We obtain necessary and sufficient conditions for X 0 ∈ S to attain the maximum in the following concave maximization problem: max {λ min (A + X): X ∈ S} where A ∈ H n is a fixed matrix. Let o denote the Hadamard (entrywise) product, i.e., given matrices A = [a ij ], B = [b ij ] ∈ M m,n we define A o B = [a ij b ij ] ∈ M m,n . Using the necessary and sufficient conditions mentioned above we give elementaty and unified proofs of the following results
A computational method for simulation of trunk motion : Towards a theoretical based quantitative assessment of trunk performance

Quantitative assessment of trunk muscle performance is important in documenting the extent of impairment and disability due to low back disorders (LBD). The statistical pattern recognition problem of classifying LBD patients and normal subjects based on dynamic trunk performance has been data driven. To provide clinical insight for interpretation of the distinctive features in the movement profiles, we have suggested an optimization-based approach for simulation of dynamic point-to-point sagittal trunk movement. The effect of strenght impairment on movement patterns was simulated based on minimizing different physical cost functions: Energy, Jerk, Peak Torque, Impulse, and Work. During unconstrained simulations, the velocity patterns of all models are predicted, while time to peak velocity is distinct for each cost function. The significant differences between unimpaired optimal movement profiles were diminished by imposing an 80% reduction in extensor muscle strength. The results indicate that the search for finding the objective function being used by central nervous system is an ill-posed problem since were are never sure if we have included all the active constraints in the simulation. The four application areas of this study are: 1) providing optimized trajectories for bio-feedback to patients during the rehabilitation process; 2) training workers to lift safely; 3) estimating the task demand based on the global description of the job; and 4) aiding the engineering evaluation to develop ergonomic and work-place interventions which needed to accommodate individuals with prior disability.
Which values are similar? Introducing new methodologies to map the structure ofhuman values and value-expressive behaviours

This research provides the first direct assessment of human values and value-expressive behaviours based on their conceptual meaning. Chapter 1 provides a brief history of the study of human values and dissects the dominant contemporary theory of values, the Theory of Basic Human Values, proposed by Shalom Schwartz. I also discuss methodological approaches used to assess the structure of human values, and the nature of concepts and categorization. In Chapter 2, seven studies containing data from nine samples in two countries (United Kingdom and Brazil) asked participants to compare the meaning of different values found within Schwartz’s influential quasi-circumplex model of values. Different methods were used across the studies, including direct similarity judgment tasks, pile sorting, and spatial arrangement. The results of these diverse conceptual assessments corresponded to spatial configurations that are broadly convergent with Schwartz’s model, both between and within participants. In Chapter 3, four studies were conducted using British samples, asking participants to make direct comparisons between value-expressive behaviours and different levels of mental representations of values (e.g., value types, higher order values). Some of the methods used in Chapter 2 were also used for these studies. It was an open question whether the structure from Schwartz’s value model would be replicated by the spatial plane composed of value-expressive behaviours. The spatial configurations from these studies broadly converged with Schwartz's structure, and also provided a novel point of view of how values and behaviours are related based on how people interpret them. Finally, in Chapter 4, I discuss the contributions of this research, its implications, limitations, and future directions.