Miracle-dz/UniFAR-FTUs huggingface dataset:
Query by output

It has recently been asserted that the usability of a database is as important as its capability. Understanding the database schema, the hidden relationships among attributes in the data all play an important role in this context. Subscribing to this viewpoint, in this paper, we present a novel data-driven approach, called Query By Output (QBO), which can enhance the usability of database systems. The central goal of QBO is as follows: given the output of some query Q on a database D, denoted by Q(D), we wish to construct an alternative query Q′ such that Q(D) and Q′ (D) are instance-equivalent. To generate instance-equivalent queries from Q(D), we devise a novel data classification-based technique that can handle the at-least-one semantics that is inherent in the query derivation. In addition to the basic framework, we design several optimization techniques to reduce processing overhead and introduce a set of criteria to rank order output queries by various notions of utility. Our framework is evaluated comprehensively on three real data sets and the results show that the instance-equivalent queries we obtain are interesting and that the approach is scalable and robust to queries of different selectivities.
Design and Implementation of Real Time Face Recognition System (RTFRS)

recognition is a pattern recognition technique and one of the most important biometrics; it is used in a broad spectrum of applications. The accuracy is not a major problem that specifies the performance of automatic face recognition system alone, the time factor is also considered a major factor in real time environments. Recent architecture of the computer system can be employed to solve the time problem, this architecture represented by multi-core CPUs and many- core GPUs that provide the possibility to perform various tasks by parallel processing. However, harnessing the current advancements in computer architecture is not without difficulties. Motivated by such challenge, this paper proposes a Real Time Face Recognition System (RTFRS). In doing so, this paper provides the architectural design, detailed design, and four variant implementations of the RTFRS. Finally, this paper determines the speed up obtained for the three advanced implementations (i.e., Hybrid Parallel model, CPU Parallel model, and Hybrid Mono model) against the convention implementation (i.e., CPU Mono model). The practical results demonstrate that the Hybrid Parallel model gain highest speed up around 82X, CPU Parallel model also have a high speed up around 71X, and finally, the Hybrid Mono model gives a slight speed up about 1.04X.
An Architecture for an XML-Template Engine Enabling Safe Authoring

Existing template languages and engines do not give guarantees about the results of the instantiation process. As this is a possible source of errors and the reason for additional testing efforts, the proposed architecture that allows guarantees about the instantiated template will increase the quality of applications incorporating template engines, like Web Content Management Systems and UML tools. The implementation of this architecture for the generation of XML documents using template techniques concludes the article
Macro Measures and Mechanics of Social Capital

Interest in social capital has grown as it has become apparent that it is an important predictor of collective well-being. Recently, attention has shifted to how levels of social capital have changed over time. But better measures are required to test even basic hypotheses such as establishing the direction of causality between the two components of social capital. In the following analysis, I develop macro measures of social capital through the development of longitudinal measures of civic engagement and interpersonal trust. I use these measures to test basic assumptions about social capital. The result is not only the first over time measures of social capital, but also an increase in our understanding of social capital as a macro process with complex causes and effects.
Robot musical accompaniment: integrating audio and visual cues for real-time synchronization with a human flutist

Musicians often have the following problem: they have a music score that requires 2 or more players, but they have no one with whom to practice. So far, score-playing music robots exist, but they lack adaptive abilities to synchronize with fellow players' tempo variations. In other words, if the human speeds up their play, the robot should also increase its speed. However, computer accompaniment systems allow exactly this kind of adaptive ability. We present a first step towards giving these accompaniment abilities to a music robot. We introduce a new paradigm of beat tracking using 2 types of sensory input - visual and audio - using our own visual cue recognition system and state-of-the-art acoustic onset detection techniques. Preliminary experiments suggest that by coupling these two modalities, a robot accompanist can start and stop a performance in synchrony with a flutist, and detect tempo changes within half a second.
Body composition in female anorexia nervosa patients

For the first time, body composition has been studied in a very large sample of female anorexia nervosa patients (n 200) using two methods: anthropometry (skinfold thickness) and densitometry (underwater weighing). The concurrent validity of both methods appeared to be good (r 0·84). Although the mean percentage of body fat (13·5) in our sample corresponds with most of the previous reports, the range (4·3–24·8) is great. Our study shows that BMI is not a good measure of fatness. Age and duration of illness were not related to body fat. Percentage fat was found to be different (t 2·76, P <0·01) according to the diagnostic subtype of anorexia nervosa: restricters (12·9) v. bingers and/or purgers (14·7).
Comparison of model and observed surface winds in the Australian region

In the event of marine disasters due either to natural events such as severe storms, or human-induced occurrences such as an oil spill, there is a need to have accurate reconstructions and predictions of ocean circulation and sea-state. A prime requirement for the accurate prediction of ocean waves, currents and sea level is the availability of reliable surface wind predictions. The main aim of this present study is to document the reliability of predictions of surface winds in the Australian coastal region from existing operational forecast systems, for use in coastal ocean models which can predict surface currents, storm surges, wind waves, and other relevant oceanic variables. It was motivated initially by concerns of the Australian Marine Safety Authority, whose brief deals with all aspects of safety issues in the coastal waters of Australia. Analogous studies have been reported by Busalacchi et al. (1993) and Rienecker et al. (1996) which compare satellite-derived surface wind analyses obtained inter alia from the special sensor microwave imager (SSM/I) with operational wind products, notably those delivered by the European Centre for Medium-range Weather Forecasts (ECMWF), for the tropical and north Pacific Ocean respectively. Aust. Met. Mag. 49 (2000) 23-35
A Vector Operation Based Fast Association Rules Mining Algorithm

It is well known that the classical association rules mining algorithm suffers the problems such as the low efficiency to generate the frequent itemsets. It needs to scan the database multiple times and often generate redundant candidate itemsets. This paper proposes a vector operation based association rule mining algorithm to solve the problem, which needs only to scan the transaction database one time to generate a Boolean matrix, and the frequent itemsets can be found out via the vector computation on the matrix. The experimental results on Coronary Heart Disease data set, including comparisons with the common Apriori approach, illustrate the effectiveness of the proposed algorithm.
Relationships between anthropometric parameters and overarm throw in elite beach handball

Purpose. beach handball is a physically demanding sport. the aim of the study was to establish the relationships between anthropometric characteristics and overarm ball speed, a key performance factor. Methods. Overall, 11 male players from the Spanish beach handball national team were recruited. throw speed was assessed in 3 throw types: standing throw (St), standing throw after two steps (rSt), and jump throw with a run-up and self-spin (rSSt). Pearson correlation was used to determine the correlation between variables. Magnitudes were evaluated qualitatively with magnitude-based inference, and the effects of anthropometric variables on the throw tests were analysed with stepwise multiple regression. Results. Maximal throw speed was 25.64 ± 4.14 m ∙ s1 for St, 23.71 ± 4.24 m ∙ s for rSt, and 24.83 ± 5.49 m ∙ s for rSSt. Large positive correlations were found between throw speed and middle, ring, and little finger lengths (P4 polygon) (r = 0.66 and 0.61 for St and rSSt, respectively). Very large (r = 0.77) and large (r = 0.68) correlations were observed between St and rSt, respectively, and elbow breadth. these results were likely positive for St: P4 (76/24/0), elbow epicondyle distance (EED) (91/9/0); and for rSt: EED (79/21/0); and possibly positive for rSt: P4 (68/32/0). St and rSt were predicted by P4 in 44% and by combining P4 and finger span FS1 in 68%. Conclusions. St and rSt ball speed in beach handball was related to specific hand/elbow anthropometric characteristics which can be easily measured.
Towards Service-Oriented Ontology-Based Coordination

Coordination is a central problem in distributed computing. The aim is towards flexible coordination, managed at run-time, in open, dynamic environments. This approach would benefit from an explicit common vocabulary for coordination and hence, in a previous paper, we modelled coordination in an ontology, describing the activities carried out and the interdependencies among these activities. The purpose of this paper is to show how such an ontology can be used alongside a set of rules to perform coordination by managing the interdependencies among activities. The ontology and rules can then be used to provide a general purpose coordination tool in the form of a Web service
Sport for Development and Peace: Framing the Global Conversation

To explore the role of sports journalism in communicating complex social issues, we seek to understand how sport for development and peace (SDP) programs are covered by newspapers around the world. To achieve this goal, we conducted an exploratory content analysis of 284 English-language articles from 2013 to 2016 using Iyengar’s (1991) thematic and episodic frames and Semetko and Valkenburg’s (2000) five generic news frames. Results indicate that coverage of SDP is often episodically framed, attributed to wire reports rather than individuals, and emphasizes responsibility and human interest. These frames may provide limited understanding of SDP issues in the general public and show that sport journalists still need to embrace their role as sport journalists for good. Recommendations are made for journalists covering this topic globally.
A Computational Model for Conversational Japanese

Natural language generation (NLG) is characterized by the automated creation of language, based on databases and linguistic models. In the field of NLG, in-depth classification of natural language is an open challenge, especially within Asian languages. One example is conversational Japanese, for which there currently exist very few speech act models. To address this deficiency, the presented study proposes a linguistic categorization of illocutionary speech acts. The model developed is based upon Brown and Levinson's politeness theory and Bach and Harnish's speech act categorization. A case study is conducted to test applicability of the proposed theoretical constructs using machine learning methods on conversational data. The results obtained can effectively contribute to the generation of a corpus of conversational Japanese.
Special Issue: Honey Bee Viruses

Pollination of flowering plants is an important ecosystem service provided by wild insect pollinators and managed honey bees. Hence, losses and declines of pollinating insect species threaten human food security and are of major concern not only for apiculture or agriculture but for human society in general. Honey bee colony losses and bumblebee declines have attracted intensive research interest over the last decade and although the problem is far from being solved we now know that viruses are among the key players of many of these bee losses and bumblebee declines. With this special issue on bee viruses we, therefore, aimed to collect high quality original papers reflecting the current state of bee virus research. To this end, we focused on newly discovered viruses (Lake Sinai viruses, bee macula-like virus), or a so far neglected virus species (Apis mellifera filamentous virus), and cutting edge technologies (mass spectrometry, RNAi approach) applied in the field.
Review of structural equation modeling (SEM) applications

Structural Equation Modeling (SEM) is a statistical method that states the relation between observation variables and latent variables or among the latent variables by linear equation system. Currently, SEM is being used widely in many fields. The article presents the applications of SEM in recent years so as to give help for people to study and use it further.
SUITABILITY OF A SOCIO-ECONOMIC SCALE FOR HOSPITAL PSYCHIATRIC POPULATION

SUMMARY The Socio-economic scale devised by Gupta and Sethi (1978) was applied to 737 urban cases registered in the psychiatric out-patient department of a general hospital during the period of one year. Correlation and regression co-efficients were calculated for education, income, occupation and total scores. The scale seemed to be suitable for hospital psychiatric population.
Synthesis of and in vitro and in vivo evaluation of a novel TGF-β1-SF-CS three-dimensional scaffold for bone tissue engineering

The role of transforming growth factor-β1 (TGF-β1) in normal human fracture healing has been previously demonstrated. The objective of the present study was to examine the biocompatibility of TGF-β1-silk fibroin-chitosan (TGF-β1-SF-CS) three-dimensional (3D) scaffolds in order to construct an ideal scaffold for bone tissue engineering. We added TGF-β1 directly to the SF-CS scaffold to construct a 3D scaffold for the first time, to the best of our knowledge, and performed evaluations to determine whether it may have potential applications as a growth factor delivery device. Bone marrow-derived mesenchymal stem cells (BMSCs) were seeded on the TGF-β1-SF-CS scaffolds and the silk fibroin-chitosan (SF-CS) scaffolds. On the TGF-β1-SF-CS and the SF-CS scaffolds, the cell adhesion rate increased in a time-dependent manner. Using a Cell Counting Kit-8 (CCK-8) assay and analyzing the alkaline phosphatase (ALP) expression proved that TGF-β1 significantly enhanced the growth and proliferation of BMSCs on the SF-CS scaffolds in a time-dependent manner. To examine the in vivo biocompatibility and osteogenesis of the TGF-β1-SF-CS scaffolds, the TGF-β1-SF-CS scaffolds and the SF-CS scaffolds were implanted in rabbit mandibles and studied histologically and microradiographically. The 3D computed tomography (CT) scan and histological examinations of the samples showed that the TGF-β1-SF-CS scaffolds exhibited good biocompatibility and extensive osteoconductivity with the host bone after 8 weeks. Moreover, the introduction of TGF-β1 to the SF-CS scaffolds markedly enhanced the efficiency of new bone formation, and this was confirmed using bone mineral density (BMD) and biomechanical evaluation, particularly at 8 weeks after implantation. We demonstrated that the TGF-β1-SF-CS scaffolds possessed as good biocompatibility and osteogenesis as the hybrid ones. Taken together, these findings indicate that the TGF-β1-SF-CS scaffolds fulfilled the basic requirements of bone tissue engineering, and have the potential to be applied in orthopedic, reconstructive and maxillofacial surgery. Thus, TGF-β1-SF-CS composite scaffolds represent a promising, novel type of scaffold for use in bone tissue engineering.
Early Alterations of AMPA Receptors Mediate Synaptic Potentiation Induced by Neonatal Seizures

The highest incidence of seizures during lifetime is found in the neonatal period and neonatal seizures lead to a propensity for epilepsy and long-term cognitive deficits. Here, we identify potential mechanisms that elucidate a critical role for AMPA receptors (AMPARs) in epileptogenesis during this critical period in the developing brain. In a rodent model of neonatal seizures, we have shown previously that administration of antagonists of the AMPARs during the 48 h after seizures prevents long-term increases in seizure susceptibility and seizure-induced neuronal injury. Hypoxia-induced seizures in postnatal day 10 rats induce rapid and reversible alterations in AMPAR signaling resembling changes implicated previously in models of synaptic potentiation in vitro. Hippocampal slices removed after hypoxic seizures exhibited potentiation of AMPAR-mediated synaptic currents, including an increase in the amplitude and frequency of spontaneous and miniature EPSCs as well as increased synaptic potency. This increased excitability was temporally associated with a rapid increase in phosphorylation at GluR1 S845/S831 and GluR2 S880 sites and increased activity of the protein kinases CaMKII (calcium/calmodulin-dependent protein kinase II), PKA, and PKC, which mediate the phosphorylation of these AMPAR subunits. Postseizure administration of AMPAR antagonists NBQX (2,3-dihydroxy-6-nitro-7-sulfonyl-benzo[f]quinoxaline), topiramate, or GYKI-53773 [(1)-1-(4-aminophenyl)-3-acetyl-4-methyl-7,8-methylenedioxy-3,4-dihydro-5H-2,3-benzodiazepine] attenuated the AMPAR potentiation, phosphorylation, and kinase activation and prevented the concurrent increase in in vivo seizure susceptibility. Thus, the potentiation of AMPAR-containing synapses is a reversible, early step in epileptogenesis that offers a novel therapeutic target in the highly seizure-prone developing brain.
Cross-lingual phonological effects in different-script bilingual visual-word recognition

To isolate cross-lingual phonological effects during visual-word recognition, Arabic–Hebrew bilinguals who are native speakers of Spoken Arabic (SA) and proficient readers of both Literary Arabic (LA) and Hebrew, were asked to perform a visual lexical-decision task (LDT) in either LA (Experiment 1) or Hebrew (Experiments 2 and 3). The critical stimuli were non-words in the target language that either sounded like real words in the non-target language (pseudo-homophones) or did not sound like real words. In Experiment 1, phonological effects were obtained from SA to LA (two forms of the same language), but not from Hebrew to LA (two different languages that do not share the same script). However, cross-lingual phonological effects were obtained when participants performed the LDT in their second language, Hebrew (Experiments 2 and 3). Interestingly, while the within-language effect (from SA to LA) was inhibitory, the between-language effect (from SA to Hebrew) was facilitatory. These findings are explained within the Bilingual Interactive Activation plus (BIA+) model which postulates a fully interconnected identification system that provides output to a task/decision system.
CAPS and Munc13 utilize distinct PIP2-linked mechanisms to promote vesicle exocytosis

PIP2-binding proteins CAPS and Munc13 are required for Ca2+-triggered vesicle exocytosis. TIRF microscopy localized PIP2, DAG, CAPS, and Munc13. Exocytosis occurred at PIP2-rich sites. CAPS localized to vesicles but required PIP2, whereas Munc13 required stimulus-dependent recruitment to PIP2-rich domains, indicating distinct mechanisms.
A Benefit/Cost Analysis of Three Student Enrollment Behaviors at a Community College: Dropout, Transfer and Completion of an Associate's Degree/Certificate.

This dissertation seeks to increase our understanding of the factors that lead to student success at community colleges. Using data on a cohort of students enrolled at a two-year college, this dissertation presents the results of a longitudinal analysis. Citing the results of several persistence studies as well as the literature on sub-baccalaureate job markets, this dissertation constructs a hybrid model of student persistence. This model combines Tinto‟s theory of student dropout behavior with human capital theory to derive a benefit/cost model of student enrollment behavior. Several hypotheses are developed regarding the relationship between various benefits and costs and students‟ likelihood of achieving each of three different outcomes: dropping out, transferring to a four-year institution, or completing an associate‟s degree. An event history analysis was conducted to find out whether these relationships actually existed. Results of this analysis are used to derive implications for theory and practice.
Qualitative trust dynamics algebra for trust management in pervasive computing environments

Trust management is turning out to be essential for further and wider acceptance of contemporary IT solutions. It was first addressed some ten years ago when the suggested approaches at that period were actually tackling security and not trust directly. Later, more advanced methodologies emerged that were based on Bayesian statistics, and these were followed by Dempster-Shafer theory of evidence and its derivative, subjective algebra. In addition, some attempts were made that were based on game theory. However, trust is a manifestation of reasoning and judgment processes. It has to be treated in line with this fact and has to be adequately supported from technological point of view. Therefore, on the basis of experiments, a complementary methodology called qualitative trust dynamics algebra (QTDA) has been developed, which addresses the core of trust phenomenon. It complements existing methodologies and, together with the appropriate conceptual model, enables technological solutions for trust management in pervasive computing environments.
Using Pinch Gloves(TM) for both Natural and Abstract Interaction Techniques in Virtual Environments

Usable three-dimensional (3D) interaction techniques are difficult to design, implement, and evaluate. One reason for this is a poor understanding of the advantages and disadvantages of the wide range of 3D input devices, and of the mapping between input devices and interaction techniques. We present an analysis of Pinch Gloves™ and their use as input devices for virtual environments (VEs). We have developed a number of novel and usable interaction techniques for VEs using the gloves, including a menu system, a technique for text input, and a two-handed navigation technique. User studies have indicated the usability and utility of these techniques.
Using Cepheids to determine the galactic abundance gradient - II. Towards the galactic center

Based on spectra obtained at the Anglo-Australian Observatory, we present a discussion of the metallic- ity of the galactic disc derived using Cepheids at galactocentric distances of 4{6 kpc. Our new results together with previous gradient determination (Paper I) show that the overall abundance distribution within the galactocentric distances 4{11 kpc cannot be represented by a single gradient value. The distribution is more likely bimodal: it is flatter in the solar neighbourhood with a small gradient, and steepens towards the galactic center. The steepening begins at a distance of about 6.6 kpc.