Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizing lexical data from a Web-derived corpus to expand productive collocation knowledge

Abstract Collocations are of great importance for second language learners, and a learner’s knowledge of them plays a key role in producing language fluently (Nation, 2001: 323). In this article we describe and evaluate an innovative system that uses a Web-derived corpus and digital library software to produce a vast concordance and present it in a way that helps students use collocations more effectively in their writing. Instead of live search we use an off-line corpus of short sequences of words, along with their frequencies. They are preprocessed, filtered, and organized into a searchable digital library collection containing 380 million five-word sequences drawn from a vocabulary of 145,000 words. Although the phrases are short, learners can browse more extended contexts because the system automatically locates sample sentences that contain them, either on the Web or in the British National Corpus. Two evaluations were conducted: an expert user tested the system to see if it could generate suitable alternatives for given text fragments, and students used it for a particular exercise. Both suggest that, even within the constraints of a limited study, the system could and did help students improve their writing.
(Quantum) spacetime as a statistical geometry of lumps in random networks

In the following we undertake to describe how macroscopic spacetime (or rather, a microscopic protoform of it) is supposed to emerge as a superstructure of a web of lumps in a stochastic discrete network structure. As in preceding work (mentioned below), our analysis is based on the working philosophy that both physics and the corresponding mathematics have to be genuinely discrete on the primordial (Planck scale) level. This strategy is concretely implemented in the form of cellular networks and random graphs. One of our main themes is the development of the concept of physical (proto)points or lumps as densely entangled subcomplexes of the network and their respective web, establishing something like (proto)causality. It may perhaps be said that certain parts of our programme are realizations of some early ideas of Menger and more recent ones sketched by Smolin a couple of years ago. We briefly indicate how this two-storey concept of quantum spacetime can be used to encode the (at least in our view) existing non-local aspects of quantum theory without violating macroscopic spacetime causality!
Parallel Changes in Neuronal AT1R and GRK5 Expression Following Exercise Training in Heart Failure

Although exercise training (ExT) is an important therapeutic strategy for improving quality of life in patients with chronic heart failure (CHF), the central mechanisms by which ExT is beneficial are not well understood. The angiotensin II type 1 receptor (AT1R) plays a pivotal role in the development of CHF and is upregulated in a number of tissues owing, in part, to transcription factor nuclear factor kappa B (NF-&kgr;B). In addition, AT1R is marked for internalization and recycling via G-protein–coupled receptor kinase (GRK) phosphorylation. Because previous studies have shown that the beneficial effects of ExT in CHF rely on a reduction in angiotensin II, we hypothesized ExT would decrease AT1R, GRK5, and NF-&kgr;B protein expression in the paraventricular nucleus and rostral ventrolateral medulla of CHF rats. Following infarction by coronary artery ligation, animals were exercised 4 weeks postsurgery on a treadmill at a final speed of 25 miles per minute for 60 minutes, 5 days per week for 6 weeks. Western blot analysis of paraventricular nucleus and rostral ventrolateral medulla micropunches revealed an upregulation of AT1R, GRK5, and NF-&kgr;B in the infarcted group that was reversed by ExT. Furthermore, the relative expression of phosphorylated AT1R and AT1R/GRK5 physical association was increased in the CHF sedentary group and reversed by ExT. Overexpression of GRK5 in cultured CATH.a neurons blunted angiotensin II-mediated upregulation of AT1R and NF-&kgr;B; conversely, silencing of GRK5 exacerbated angiotensin II-mediated AT1R and NF-&kgr;B upregulation. Taken together, increased GRK5 may regulate AT1R expression in CHF, and ExT mitigates AT1R and its pathway components.
Robust Cross-view Hashing for Multimedia Retrieval

Hashing techniques have been widely applied to large-scale cross-view retrieval tasks due to the significant advantage of binary codes in computation and storage efficiency. However, most existing cross-view hashing methods learn binary codes with continuous relaxations, which cause large quantization loss across views. To address this problem, in this letter, we propose a novel cross-view hashing method, where a common Hamming space is learned such that binary codes from different views are consistent and comparable. The quantization loss across views is explicitly reduced by two carefully designed regression terms from original spaces to the Hamming space. In our method, the l2,1-norm regularization is further exploited for discriminative feature selection. To obtain high-quality binary codes, we propose to jointly learn the codes and hash functions, for which an efficient iterative algorithm is presented. We evaluate the proposed method, dubbed Robust Cross-view Hashing (RCH), on two benchmark datasets and the results demonstrate the superiority of RCH over many other state-of-the-art methods in terms of retrieval performance and cross-view consistency.
Mapping the dynamic life of lines in a multimodal compositional practice

This thesis tracks my journey through eight creative works which employ a broad range of methodologies to map the dynamic life of lines and that focus on concepts of ephemerality, gestural tracing, grains and swarms of sound, and temporal independence. My original contribution to knowledge in composition is led by my personal relationship to sound as mediated through physical gesture in performance. Drawing upon the work of anthropologist Tim Ingold, I have worked with video as a medium for my own sketch processes and as a scoring platform. Video is used to capture and document qualities of motion that bring choreographic and multimodal thinking into my music, propagating divergent approaches to structuring and determining parameters. Through this I have developed ways of thinking compositionally through the visual medium and worked with micro and macro qualities in timbre and movement to achieve effects that I term 'dynamic stasis'. Central to my thinking is an expanded concept of the line as gestalts of sound, video, bodily and mechanical movement, with form arising from a meshwork of such lines. The line as represented in video and musical action contributes to the tendencies and behaviours of precisely notated sound and physical movements in my music, that are reflected in irregular divisions of time and frequent fluctuations of sound characteristics. My discussion of the visual and choreographic perspectives of my notation and multimodal ways of thinking about composition is contextualised with examples from composers such as Jennifer Walshe, Simon Steen- Andersen and Stefan Prins, and the video scoring systems of Cat Hope.
Estimating Uncertainty Online Against an Adversary

Assessing uncertainty is an important step towards ensuring the safety and reliability of machine learning systems. Existing uncertainty estimation techniques may fail when their modeling assumptions are not met, e.g. when the data distribution differs from the one seen at training time. Here, we propose techniques that assess a classification algorithm’s uncertainty via calibrated probabilities (i.e. probabilities that match empirical outcome frequencies in the long run) and which are guaranteed to be reliable (i.e. accurate and calibrated) on out-of-distribution input, including input generated by an adversary. This represents an extension of classical online learning that handles uncertainty in addition to guaranteeing accuracy under adversarial assumptions. We establish formal guarantees for our methods, and we validate them on two real-world problems: question answering and medical diagnosis from genomic data.
Automatic classification of Web pages based on the concept of domain ontology

The use of ontology in order to provide a mechanism to enable machine reasoning has continuously increased during the last few years. This paper suggests an automated method for document classification using an ontology, which expresses terminology information and vocabulary contained in Web documents by way of a hierarchical structure. Ontology-based document classification involves determining document features that represent the Web documents most accurately, and classifying them into the most appropriate categories after analyzing their contents by using at least two predefined categories per given document features. In this paper, Web pages are classified in real time not with experimental data or a learning process, but by similar calculations between the terminology information extracted from Web pages and ontology categories. This results in a more accurate document classification since the meanings and relationships unique to each document are determined.
Development and Confirmatory Factor Analysis of the Golf Participation Questionnaire for Older Adults (GPQOA)

Abstract A series of four studies were conducted to develop and psychometrically evaluate a questionnaire to assess older adults’ reasons for participating in golf (Golf Participation Questionnaire for Older Adults: GPQOA). In the first study, a 30-item questionnaire was developed using a Delphi process in collaboration with industry partners and academic leaders. In the second study, Confirmatory Factor Analysis was used to identify the best model fit based on data from 402 adults aged 55–74. A revised version was then tested in a third study using an independent sample of 419 adults and provided support for a nine-factor 30-item model. In the final study, measurement invariance across gender was evaluated and supported. The GPQOA is an empirically driven questionnaire with psychometric support that can be used to investigate the reasons for and benefits of participating in regular golf for older adults.
On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Estimation ∗

This paper studies the effect of bias correction on confidence interval estimators in the context of kernel-based nonparametric density estimation. We consider explicit plug-in bias correction but, in contrast to standard approaches, we allow the bias estimator to (potentially) have a first-order impact on the distributional approximation. This approach is meant to more accurately capture the finite-sample behavior of the estimator and corresponding confidence interval. We propose a new standard error based on this asymptotic experiment, which allows greater flexibility in bias estimation. Bias reduction can alternatively be achieved implicitly by undersmoothing the density estimator, and we seek to compare these two approaches, as investigated by Hall (1992. Effect of Bias Estimation on Coverage Accuracy of Bootstrap Confidence Intervals for a Probability Density. Annals of Statistics 20, 675–694). Using Edgeworth expansions, we show that explicit bias correction, coupled with our proposed standard errors, may outperform undersmoothing in terms of confidence interval coverage error. This implies that undersmoothing does not strictly dominate bias correction, as was previously found by Hall (1992). We use our results to discuss interval length implications and to give new bandwidth selection guides for density estimation and bias correction. We also outline briefly how our findings extend to other nonparametric contexts. ∗We thank Michael Jansson for comments and suggestions.
Quality end user-developed applications: some essential ingredients

This article examines the dimension of quality in end user-developed applications. Quality is defined as the degree to which an application of "high grade" accomplishes or attains its goal from the perspective of the user. We propose a definition for "quality" as a combination of end user information satisfaction and application utilization. We then discuss three measurement instruments that were developed to capture the dimensions of quality and assess their psychometric properties.
The Mediating Role of Emotional Exhaustion and Job Satisfaction on the Relationship Between Job Demands and Instigated Workplace Incivility

High job demands are considered a risk factor for uncivil behavior in the workplace but the mechanism behind this relationship remains unclear. The current study aimed to analyze emotional exhaustion and job satisfaction as sequential mediators of the relationship between job demands and instigated workplace incivility within the integrative framework of affective events theory and the job demand–control model. Data were collected from 102 university academic staff in Klang Valley, Malaysia, via snowball sampling method. The results supported the predicted three-path mediation model with age, gender, and employment contract type as covariates. High job demands led to emotional exhaustion, which, in turn, led to a decrease in job satisfaction level and as a result gave rise to instigated workplace incivility. Implications, limitations of these findings, and directions for future research are further discussed on how to enhance and establish a civil and respectful workplace.
Exploiting Multiple Treebanks for Parsing with Quasi-synchronous Grammars

We present a simple and effective framework for exploiting multiple monolingual treebanks with different annotation guidelines for parsing. Several types of transformation patterns (TP) are designed to capture the systematic annotation inconsistencies among different tree-banks. Based on such TPs, we design quasi-synchronous grammar features to augment the baseline parsing models. Our approach can significantly advance the state-of-the-art parsing accuracy on two widely used target tree-banks (Penn Chinese Treebank 5.1 and 6.0) using the Chinese Dependency Treebank as the source treebank. The improvements are respectively 1.37% and 1.10% with automatic part-of-speech tags. Moreover, an indirect comparison indicates that our approach also outperforms previous work based on treebank conversion.
Anticipatory sentence processing in children with specific language impairment: Evidence from eye movements during listening

ABSTRACT Twenty-five children with specific language impairment (SLI; age 5 years, 3 months [5;3]–8;2), 50 typically developing children (3;3–8;2), and 31 normal adults participated in three eye-tracking experiments of spoken language comprehension that were designed to investigate the use of verb information during real-time sentence comprehension in Spanish. In Experiment 1, participants heard sentences like El niño recorta con cuidado el papel (The boy trims carefully the paper) in the presence of four depicted objects, only one of which satisfied the semantic restrictions of the verb recorta (e.g., paper, clock, fox, and dinosaur). Eye movements revealed that children with SLI, like other groups, were able to recognize and retrieve the meaning of the verb rapidly enough to anticipate the upcoming semantically appropriate referent, prior to actually hearing the noun phrase el papel (the paper). Experiments 2 and 3 revealed that for all groups of participants, anticipatory eye movements were also modulated by the semantic fit of the object serving as the patient/theme of the verb. Relatively fine-grained semantic information of a verb was computed fast enough even by children with SLI to result in anticipatory eye movements to semantically appropriate referents. Children with SLI did differ from age-matched controls, but only slightly in terms of overall anticipatory looking at target objects; the time course of looking between these groups was quite similar. In addition, no differences were found between children with SLI and control children matched for mean length of utterance. Implications for theories that characterize SLI are discussed.
Addendum to “The Minimal Spanning Tree in a Complete Graph and a Functional Limit Theorem for Trees in a Random Graph”

In the article “The Minimal Spanning Tree in a Complete Graph and a Functional Limit Theorem for Trees in a Random Graph” by Janson [6] it is shown that the minimal weight W n of a spanning tree in a complete graph K n with independent, uniformly distributed random weights on the edges has an asymptotic normal distribution. The same holds with exponentially distributed weights with mean 1. The mean converges, as shown in the classical paper by A. Frieze [3]
Characterization of gP85gag as an antigen recognized by Moloney leukemia virus-specific cytolytic T cell clones that function in vivo

The gag membrane protein gP85gag, encoded by Moloney murine leukemia virus (M-MLV), was identified as a target molecule recognized by Moloney murine sarcoma virus--M-MLV (M-MSV--M-MLV)-specific cytolytic T lymphocyte (CTL) clones. Target cells infected with Ab-X-MLV, an M-MLV- derived mutant virus not encoding gP85gag, were not lysed by the CTL clones. The same CTL clones were shown previously to induce the destruction of M-MLV-induced tumor cells in the peritoneal cavity. We have now characterized CTL-resistant antigen-loss tumor cell variants that have lost the surface antigen, but which retain transcriptionally silent M-MLV genomes. A cloned antigen-loss variant that reverted in vitro to the CTL-susceptible phenotype reexpressed M-MLV genomes that had undergone an insertion event in the region of the viral DNA coding for the gag membrane protein. Intravenous injection of virus-specific CTL clones inhibited tumor formation in mice injected subcutaneously with M-MSV--M-MLV.
Towards Automated Player Experience Detection With Computer Vision Techniques

Copyright is held by the author/owner(s). CHI’12, May 5–10, 2012, Austin, Texas, USA. ACM 978-1-4503-1016-1/12/05. Abstract There has been an increasing number of quantitative methods to measure and evaluate player experiences. However, current methods either focus on telemetry approaches, which are insufficient to capture real life responses, or psychophysiological methods, which are intrusive and more suited to controlled laboratory environments. This paper presents the position that computer vision techniques can provide a less intrusive and more versatile solution for automatic evaluation of game user experiences. A conceptual framework to automatically infer flow intensity is presented and a work-in-progress study is included to demonstrate the feasibility of this research direction.
A cross-cultural approach to eating together: Practices of commensality among French, German and Spanish young adults

This article explores commensal practices of French, German and Spanish young adults. In doing so, it aims to fill a gap in research on commensality and on contemporary eating practices in Europe within a qualitative cross-cultural approach. The different nationalities of the informants, along with their country of residence, contribute to emphasizing cultural diversity and laying the foundations for the highlighting of poignant differences between French, German and Spanish young people, particularly in relation to meal times and content, places of food sociability, social organization surrounding shared meals and the role of food sharing in their social life. These aspects reveal different social meanings attached to food and commensality, as well as variability of commensal forms between young people living in or coming from different European countries.
Algebraic models of Poincaré embeddings

Let f : P curved right arrow W be an embedding of a compact polyhedron in a closed oriented manifold W, let T be a regular neighborhood of P in W and let C := (W) over bar be its complement. Then W is the homotopy push-out of a diagram C P. This homotopy push-out square is an example of what is called a Poincare embedding. We study how to construct algebraic models, in particular in the sense of Sullivan, of that homotopy push-out from a model of the map f. When the codimension is high enough this allows us to completely determine the rational homotopy type of the complement C similar or equal to Wf(P). Moreover we construct examples to show that our restriction on the codimension is sharp. Without restriction on the codimension we also give di ff erentiable modules models of Poincare embeddings and we deduce a refinement of the classical Lefschetz duality theorem, giving information on the algebra structure of the cohomology of the complement.
"It is Not Because You Have Tools that You Must use Them": The Difficult Domestication of a Telemedicine Toolkit to Manage Emergencies in Nursing Homes

We conducted a retrospective study on the experimental deployment of a telemedicine toolkit in ten nursing homes. The purpose of the experiment was to see whether the use of these toolkits could allow for better cooperation between nursing homes and the local emergency medical dispatch center to avoid sending costly vehicles and having elderly people unnecessarily discharged at the hospital. We investigated the domestication process of these toolkits by nurses and orderlies from the nursing homes. Our findings show different levels of domestication: for some of the nursing homes, the lack of practical relevance of the toolkit in emergencies and the difficulty to borrow artifacts from doctors prevented complete adoption. For three nursing homes, domestication occurred in an unexpected way in the sense that the objective of the domestication changed. These findings led us to provide recommendations for projects aimed at improving inter-organizational cooperation through artifacts.
The benefit of full disclosure

Disclosure of sexual orientation in the workplace is a communication exchange wherein an individual reveals his/her sexual orientation to coworkers, to one extent or another. Although there have been a number of empirical studies on disclosure in the workplace, the literature has never been systematically reviewed. The current study meta-analyzed 24 primary studies in order to elucidate the relationship between workplace sexual orientation disclosure and individual, relational, and organizational correlates. Results indicated that disclosure is most strongly related to organizational climate, suggesting that the organization has a substantial impact on individual disclosure decisions.
The Role of Gender Information in Pronoun Resolution: Evidence from Chinese

Although previous studies have consistently demonstrated that gender information is used to resolve pronouns, the mechanisms underlying the use of gender information continue to be controversial. The present study used event-related potentials (ERPs) to investigate whether working memory modulates the effect of gender information on pronoun resolution. The critical pronoun agreed or disagreed with its antecedent in gender. Moreover, the distance between a pronoun and its antecedent was varied to assess the influence of working memory. Compared with the congruent pronouns, the incongruent pronouns elicited an N400 effect in the short distance condition and a P600 effect in the long distance condition. The results suggest that the effect of gender information on pronoun comprehension is modulated by working memory.