Miracle-dz/UniFAR-FTUs huggingface dataset:
Two-year clinical outcomes in stable angina and acute coronary syndrome after percutaneous coronary intervention of left main coronary artery disease

Background/Aims This study appraised the long term clinical outcomes of patients treated with percutaneous coronary intervention (PCI) for unprotected left main coronary artery (ULMCA) disease. There are limited data regarding long-term clinical outcomes after PCI for ULMCA disease. Methods From 2001 to 2011, a total of 448 patients who underwent PCI for ULMCA disease and had 2-year clinical follow-up, were analyzed. The study patients were divided into two groups: group I (stable angina pectoris [SAP], n = 60, 48 men, 62 ± 10 years) and group II (acute coronary syndrome [ACS], n = 388, 291 men, 64 ± 10 years). We evaluated clinical and angiographic characteristics and major adverse cardiac events (MACE) during 2-year clinical follow-up. Results Mean age of studied patients was 64 ± 10 years with 339 male patients. Average stent diameter was 3.6 ± 0.4 mm and stent length was 19.7 ± 6.3 mm. Stent implantation techniques and use of intravascular ultrasound guidance were not different between two groups. In-hospital mortality was 0% in group I and 7% in group II (p = 0.035). One-month mortality was 0% in group I and 7.7% in group II (p = 0.968). Two-year survival rate was 93% in the group I and 88.4% in the group II (p = 0.921). Predictive factors for 2-year MACE were hypertension, Killip class ≥ 3, and use of intra-aortic balloon pump by multivariate analysis. Conclusions Although in-hospital mortality rate was higher in ACS than in SAP, clinical outcomes during 2-year clinical follow-up were similar between SAP and ACS after PCI of ULMCA.
Children’s Perceptions of Body Shape: A Thinness Bias in Pre-Adolescent Girls and Associations with Femininity

Despite research documenting the body image concerns of adolescent females, and the association with eating disorders, less is known about children’s perceptions of body shape or the developmental roots of adolescent concerns. This study, involving 140 children aged 5-11, explored what children think is the ideal shape for an adult male and female and whether body shape is related to masculinity and femininity. Children saw a range of figures from very thin to very fat and were asked which they thought was ‘the nicest shape for a lady (or man) to be’. Girls and boys agreed about what is the ideal male shape, but differed in their perception of the ideal female shape from as early as 5 years old. Girls selected an ideal female figure that was significantly thinner than that chosen by boys, and the girls also aspired to a thinner figure for themselves. Girls as young as 9 years, though not overweight, admitted they were dieting. Also, 61% of 11-year-old girls said their mothers dieted compared with only 12% of boys. Significantly more stereotypically feminine traits were associated with a thinner female figure than with a fatter one, whilst masculine traits were not associated with any particular male somatotype. The findings suggest that to be feminine, a female has to be thin although males can be either thin or fat and still be considered masculine. The implications in terms of the distorted beliefs underlying eating disorders are discussed.
Detecting Compositionality Using Semantic Vector Space Models Based on Syntactic Context. Shared Task System Description

This paper reports on the participation of the NLP Group at UNED in the DiSCo'2011 compositionality evaluation task. The aim of the task is to predict compositionality judgements assigned by human raters to candidate phrases, in English and German, from three common grammatical relations: adjective-noun, subject-verb and subject-object. Our participation is restricted to adjective-noun relations in English. We explore the use of syntactic-based contexts obtained from large corpora to build classifiers that model the compositionality of the semantics of such pairs.
A survey of appearance models in visual object tracking

Visual object tracking is a significant computer vision task which can be applied to many domains, such as visual surveillance, human computer interaction, and video compression. Despite extensive research on this topic, it still suffers from difficulties in handling complex object appearance changes caused by factors such as illumination variation, partial occlusion, shape deformation, and camera motion. Therefore, effective modeling of the 2D appearance of tracked objects is a key issue for the success of a visual tracker. In the literature, researchers have proposed a variety of 2D appearance models. To help readers swiftly learn the recent advances in 2D appearance models for visual object tracking, we contribute this survey, which provides a detailed review of the existing 2D appearance models. In particular, this survey takes a module-based architecture that enables readers to easily grasp the key points of visual object tracking. In this survey, we first decompose the problem of appearance modeling into two different processing stages: visual representation and statistical modeling. Then, different 2D appearance models are categorized and discussed with respect to their composition modules. Finally, we address several issues of interest as well as the remaining challenges for future research on this topic. The contributions of this survey are fourfold. First, we review the literature of visual representations according to their feature-construction mechanisms (i.e., local and global). Second, the existing statistical modeling schemes for tracking-by-detection are reviewed according to their model-construction mechanisms: generative, discriminative, and hybrid generative-discriminative. Third, each type of visual representations or statistical modeling techniques is analyzed and discussed from a theoretical or practical viewpoint. Fourth, the existing benchmark resources (e.g., source codes and video datasets) are examined in this survey.
Interrelationship «structure-hardness-fusibility» for oxide crystals

The indistinct interrelationship between the mel-ting temperature (Tm), Mohs hardness (Hs), thermal con-ductivity (k), and structure of many oxide synthetic crys-tals, and minerals has been established more detail. It is shown that the external boundary of the full set {Hs - Tm} is res-tricted with 7-side polygon. These data has been useful at search of the most hardness and heat-conducting materials for optoelectronic devices.
Sentence Compression with Semantic Role Constraints

For sentence compression, we propose new semantic constraints to directly capture the relations between a predicate and its arguments, whereas the existing approaches have focused on relatively shallow linguistic properties, such as lexical and syntactic information. These constraints are based on semantic roles and superior to the constraints of syntactic dependencies. Our empirical evaluation on the Written News Compression Corpus (Clarke and Lapata, 2008) demonstrates that our system achieves results comparable to other state-of-the-art techniques.
CML - The ClassSync Modeling Language

The ClassSync Modeling Language (CML) addresses the problem of creating a controlling overlay to classroom learning activities, or e-leaming workflows. Our aim is to allow authors and teachers to generate a mapping from activity design to its implementation in a wirelessly networked classroom with ubiquitous use of handheld computers for information exchange. CML models e-learning workflows with three major components: actors, data objects, and interaction networks. Actors are the diverse perfonners of actions. data objects are the semantically typed information units that are made available for exchange. Interaction networks are virtual networks constructed on top of whatever network ClassSync is running on. and dictate how information may flow through the ClassSync system (from actor to actor). Activities are the processes performed via these three components, in which actors create and consume data objects and exchange them over an interaction network. The benefits of this approach for students, curriculum designers, teachers, publishers and learning sciences researchers are highlighted.
Image enlargement by patch-based seam synthesis

Numerous approaches can be utilized for image enlargement, among them seam-carving, texture-synthesis, linear scaling and warping are commonly used. However, all of these methods have their disadvantages. In this paper, we propose a new image enlargement method inspired from seam-carving and texture synthesis, called Patch-Based Seam Synthesis. Our algorithm fully utilizes the texture information of an image and thus is a content-based method. The procedure of this new method is described as follows. Firstly, we use a set of Difference of Gaussian (DOG) and Difference of Offset Gaussian (DOOG) filters to extract the texture features of the image. Secondly, we use the Histogram Shape-Based Image Thresholding to divide the image into texture regions and non-texture regions. Thirdly, we find the energy map of the image based on the energy function and determine the minimal-energy seams, the 8-connected paths crossing the whole image, either vertically or horizontally. Finally, we use patch-based synthesis combined with image quilting algorithm to fill in the parts of the seams that are in the texture regions and linear interpolation to smooth the parts that lie in non-texture regions.
Child Suppport Grant: A Dangling Carrot In Curriculum Development

In this article, South Africa’s Child Support Grant (CSG), which is a dangling carrot in curriculum development, is critiqued. This study shows that the rate of teenage pregnancy, which is fuelled by the CSG, in high schools is alarmingly high. Teachers allege that girls are lured by the CSG given to mothers to drop out of schools with the intention to babysit. The proliferation of illegitimate children born into poverty engulfs huge swathes of the country and affects the development of the school curriculum. This study was conducted in one of the districts of Limpopo province where ten schools obtained a 0% pass rate in the National Senior Certificate Examinations in 2011/12. Ninety-nine per cent of the Grade 12 learners in these schools are girls who happened to fail the gateway subjects such as Mathematics and Physical Science. The findings revealed that a decrease in education resulted in an increase in fertility and that the CSG in combination with poverty causes teenagers to drop out of school at a tender age. DOI: 10.5901/mjss.2013. v4n14p669
Association of ET-1 gene polymorphisms with COPD phenotypes in a Caucasian population.

BACKGROUND AND AIM The phenotypic expression of COPD consists of pulmonary emphysema and chronic bronchitis. An imprecise phenotypic definition may result in inconsistencies among genetic studies regarding COPD pathogenesis. Endothelin-1 gene polymorphisms have been linked to increased susceptibility of COPD development. The present study examined the involvement of +138 insA/delA and G198T ET-1 polymorphisms with emphysematous and bronchitic COPD phenotypes. METHODS In order to narrow down the phenotypic choices to either COPD-associated pulmonary emphysema or chronic bronchitis, a DLCO < 60% predicted threshold was chosen as an indicator of severe emphysema. 116 COPD smokers and 74 non-related, non-COPD smokers were evaluated. RESULTS Statistical analysis showed that the 4A allele of the +138insA/delA SNP and the 4A:T haplotype were associated predominantly with a chronic bronchitis phenotype, whereas the TT genotype of the G198T SNP was found to be protective from emphysema development. CONCLUSIONS The presence of both the 4A and T allele seems to modify the final expression of COPD towards a chronic bronchitis phenotype, since the G:3A haplotype was associated with a predominantly emphysematous phenotype in our study.
Knowing Bodies at Work: Embodiment and Ephemeral Teamwork in Anaesthesia

In spite of a growing corpus of studies concerned with the body and its relationships to organizing and organization, there is a distinct lack of empirical work to take seriously the nature of `embodiment' in the workplace. This paper presents a video-based study of teamwork in preoperative anaesthesia in order to propose an approach to analysing the body that focuses on organizational members' practical orientations to the body, and in particular dynamic bodies, in the workplace. To demonstrate the value of this approach, the paper considers coordination work among anaesthetic teams and highlights the importance of intercorporeal knowing in the real-time coordination of a team's work. The analytic orientation is drawn from ethnomethodology and conversation analysis.
Sampled Two-Dimensional LDA for Face Recognition with One Training Image per Person

The two-dimensional linear discriminant analysis (2DLDA) is one of the most successful face recognition methods. However, it cannot be directly applied to the face recognition where only one sample image per person is available for training. In this paper, we present a new method based on 2DLDA to deal with the single training sample problem. The method derive a set of sub-images from a single face image by sampling, therefore obtaining multiple training samples for each class, and then apply 2DLDA to the set of newly produced samples. The proposed algorithms are compared with both the E(PC)2A algorithm and the SVD perturbation algorithm which is proposed for addressing the single training sample problem. Experimental results on the ORL face database show that the proposed approach is feasible and has higher recognition performance than E(PC)2A and SVD perturbation algorithms
An overview and research vision of the use of Semantic Technologies for User Modeling and Collaborative Tagging

This work aims at providing a review of recent work in semantic modeling of users. A second focus area is the tagging. Tagging links a user to a resource by a tag and we consider that this approach is suitable to partially answer the question: How semantic technologies can be leveraged to model social networks. Also this is a good reference work to see how users and resources can be interlinked and thus how a social network model can go beyond the traditional people-to-people model.
Classification of model transformation techniques used in UML-based Web engineering

Software development techniques are continuously evolving with the goal of solving the main problems that still affect the building and maintenance of software systems: time, costs and error-proneness. Model-driven engineering (MDE) approaches aim to reduce at least some of these problems providing techniques for the construction of models and the specification of transformation rules, tool support and automatic generation of code and documentation. The method of resolution of MDE is to first build models, which are independent of the platform, transforming them in later stages to technological-dependent models, and to achieve automatic model and code generation based on transformation rules. Web engineering is a domain where model-driven approaches can be used to address evolution and adaptation of Web software to continuously emerging new platforms and changes in technologies. We present an overview of the development process of the Unified Modelling Language (UML)-based Web engineering (UWE) defined as an MDE approach. The main characteristic of UWE is the use of standards including the UML, XML metadata interchange as model exchange, meta-object facility for metamodelling, model-driven architecture and the transformation language query-view-transformation. We focus on the model transformation aspects of the UWE process.
Adaptive coordination in cardiac anaesthesia: a study of situational changes in coordination patterns using a new observation system

Patient care in hospital settings requires coordinated team performance. Studies in other industries show that successful teams adapt their coordination processes to the situational task requirements. This prospective field study aimed to test a new observation system and investigate patterns of adaptive coordination within operating room teams. A trained observer recorded coordination activities during 24 cardiac surgery procedures. The study tested whether different patterns occur during different phases of and between different types of surgical procedures (two-way multivariate ANOVA with repeated measure). A statistically significant increase was found in clinical and coordination activities in phases of the operation with high task interdependence. The highest level of ‘coordination via the work environment’ (i.e. an implicit coordination mechanism) was recorded during the actual procedure on the beating heart. These findings prove the sensitivity of the observation system developed and evaluated in this study and provide insight into patterns of adaptive coordination in cardiac anaesthesia. This study furthers our understanding of adaptive coordination as a cornerstone of effective team performance in complex work environments. Using a new observation system, it describes patterns employed by health care professionals in response to changing task demands in an acute patient care setting.
A randomized trial of Ustekinumab, a human interleukin-12/23 monoclonal antibody, in patients with moderate-to-severe Crohn's disease.

BACKGROUND & AIMS Interleukin-12 and interleukin-23 are inflammatory cytokines implicated in Crohn's disease pathophysiology. Ustekinumab is a monoclonal antibody against the p40 subunit of interleukin-12/23. METHODS We performed a double-blind, cross-over trial of the clinical effects of ustekinumab in 104 patients with moderate-to-severe Crohn's disease (population 1). Patients were given subcutaneous placebo at weeks 0-3, then ustekinumab at weeks 8-11; subcutaneous ustekinumab at weeks 0-3, then placebo at weeks 8-11; intravenous placebo at week 0, then ustekinumab at week 8; or intravenous ustekinumab at week 0, then placebo at week 8. Furthermore, an open-label trial evaluated the effects of 4 weekly subcutaneous injections or 1 intravenous infusion of ustekinumab in 27 patients who were primary or secondary nonresponders to infliximab (population 2). RESULTS In population 1, clinical response rates for the combined groups given ustekinumab and placebo were 53% and 30% (P = .02), respectively at weeks 4 and 6, and 49% and 40% (P = .34), respectively at week 8. In a subgroup of 49 patients who were previously given infliximab (neither primary nor secondary nonresponders), clinical response to ustekinumab was significantly greater than the group given placebo (P < .05) through week 8. In population 2, the clinical responses at week 8 to subcutaneous and intravenous ustekinumab were 43% and 54%, respectively. There was no increase in the number of adverse or serious adverse events in patients given ustekinumab through week 8 compared with placebo. CONCLUSIONS Ustekinumab induced a clinical response in patients with moderate-to-severe Crohn's disease, especially in patients previously given infliximab.
Measuring perfusion and bioenergetics simultaneously in mouse skeletal muscle: a multiparametric functional‐NMR approach

A totally noninvasive set‐up was developed for comprehensive NMR evaluation of mouse skeletal muscle function in vivo. Dynamic pulsed arterial spin labeling‐NMRI perfusion and blood oxygenation level‐dependent (BOLD) signal measurements were interleaved with 31P NMRS to measure both vascular response and oxidative capacities during stimulated exercise and subsequent recovery. Force output was recorded with a dedicated ergometer. Twelve exercise bouts were performed. The perfusion, BOLD signal, pH and force–time integral were obtained from mouse legs for each exercise. All reached a steady state after the second exercise, justifying the pointwise summation of the last 10 exercises to compensate for the limited 31P signal. In this way, a high temporal resolution of 2.5 s was achieved to provide a time constant for phosphocreatine (PCr) recovery (τPCr). The higher signal‐to‐noise ratio improved the precision of τPCr measurement [coefficient of variation (CV) = 16.5% vs CV = 49.2% for a single exercise at a resolution of 30 s]. Inter‐animal summation confirmed that τPCr was stable at steady state, but shorter (89.3 ± 8.6 s) than after the first exercise (148 s, p < 0.05). This novel experimental approach provides an assessment of muscle vascular response simultaneously to energetic function in vivo. Its pertinence was illustrated by observing the establishment of a metabolic steady state. This comprehensive tool offers new perspectives for the study of muscle pathology in mice models. Copyright © 2010 John Wiley & Sons, Ltd.
Economy analysis of extended range electric vehicle in different control strategies

According to problem, the electric vehicles have short endurance mileage and charge inconveniently, this paper proposed extended range electric vehicle instead of electric vehicle. Compared with the electric vehicles, the extended range electric vehicles increase the Range Extender (RE) that was constituted by internal combustion engine, generator and rectifier. The extended range electric vehicles model was established in the CRUISE, and matched the powertrain parameters. The power consumption simulation was carried in the Chinese typical cycle run. The simulation used two different energy management strategies. The results show that the powertrain matching parameters are relatively rational. In the CD-CS energy management strategy, when RE adopts (ON-OFF) control model. The vehicle fuel consumption and electrical consumption were less than the power following control methods. Meanwhile, the economy of the vehicle adopting (ON-OFF) control model is better than the other.
Actin Reorganization Underlies Phototropin-Dependent Positioning of Nuclei in Arabidopsis Leaf Cells1[W][OA]

In epidermal and mesophyll cells of Arabidopsis (Arabidopsis thaliana) leaves, nuclei become relocated in response to strong blue light. We previously reported that nuclear positions both in darkness and in strong blue light are regulated by the blue light receptor phototropin2 in mesophyll cells. Here, we investigate the involvement of phototropin and the actin cytoskeleton in nuclear positioning in epidermal cells. Analysis of geometrical parameters revealed that, in darkness, nuclei were distributed near the center of the cell, adjacent to the inner periclinal wall, independent of cell shape. Dividing the anticlinal wall into concave, convex, and intermediate regions indicated that, in strong blue light, nuclei became relocated preferably to a concave region of the anticlinal wall, nearest the center of the cell. Mutant analyses verified that light-dependent nuclear positioning was regulated by phototropin2, while dark positioning of nuclei was independent of phototropin. Nuclear movement was inhibited by an actin-depolymerizing reagent, latrunculin B, but not by a microtubule-disrupting reagent, propyzamide. Imaging actin organization by immunofluorescence microscopy revealed that thick actin bundles, periclinally arranged parallel to the longest axis of the epidermal cell, were associated with the nucleus in darkness, whereas under strong blue light, the actin bundles, especially in the vicinity of the nucleus, became arranged close to the anticlinal walls. Light-dependent changes in the actin organization were clear in phot1 mutant but not in phot2 and phot1phot2 mutants. We propose that, in Arabidopsis, blue-light-dependent nuclear positioning is regulated by phototropin2-dependent reorganization of the actin cytoskeleton.