Miracle-dz/UniFAR-FTUs huggingface dataset:
A Methionine-Rich Domain Mediates CRM1-Dependent Nuclear Export Activity of Borna Disease Virus Phosphoprotein

ABSTRACT Borna disease virus (BDV) is a nonsegmented, negative-strand RNA virus that replicates and transcribes in the nucleus of infected cells. Recently, we have demonstrated that BDV phosphoprotein (P) can modulate its subcellular localization through binding to the protein X, which is encoded in the overlapping open reading frame (T. Kobayashi et al., J. Virol. 77:8099-8107, 2003). This observation suggested a unique strategy of intracellular trafficking of a viral protein that is essential for the formation of a functional BDV ribonucleoprotein (RNP). However, neither the mechanism nor the consequences of the cytoplasmic retention or nuclear export of BDV X-P complex have been elucidated. In this study, we show that BDV P contains a bona fide nuclear export signal (NES) and can actively shuttle between the nucleus and cytoplasm. A transient transfection analysis of cDNA clones that mimic the BDV bicistronic X/P mRNA revealed that the methionine-rich (MetR) domain of P is responsible for the X-dependent cytoplasmic localization of the protein complex. Mutational and functional analysis revealed that the methionine residues within the MetR domain are critical for the activity of the NES of P. Furthermore, leptomycin B or small interfering RNA for inhibition of CRM1 strongly suggested that a CRM1-dependent pathway mediates nuclear export of P. Fluorescence loss in photobleaching analysis confirmed the nucleocytoplasmic shuttling of P. Moreover, we revealed that the nuclear export of P is not involved in the inhibition of the polymerase activity by X in the BDV minireplicon system. Our results may provide a unique strategy for the nucleocytoplasmic transport of viral RNP, which could be critical for the formation of not only infectious virions in the cytoplasm but also a persistent viral state in the nucleus.
Optimal Right Ventricular Filling Pressures and the Role of Pericardial Constraint in Right Ventricular Infarction in Dogs

BackgroundPrevious studies have reported an important role forright ventricular function in the pathophysiology of the low cardiac output state that can accompany right ventricular infarction. Some studies have suggested that right ventricular distensibility impairs right ventricular filling and stroke output; others have demonstrated that the pericardium can mediate depressed left ventricular filling and stroke output. Methods and ResultsTo determine the role of pericardial constraint and optimal volume loading in an experimental model ofright ventricular wall infarction, six mongrel dogs were studied before and after right ventricular wall infarction and after volume loading. The pericardium was then opened in two phases. In the first phase, the pericardium was opened partially to allow the atria to distend freely, and in the second phase, the pericardium was opened completely. The animals were preinstrumented with two sets of piezoelectric crystals attached to the right ventricular free wall, one in the infarct and the other in the noninfarct territory. Left ventricular size was estimated by left ventricular crystals on the anterior wall of the left ventricle. Right ventricular and left ventricular Millar catheters were used to assess intracavitary pressure, and a flat balloon was used to assess intrapericardial pressure. Right ventricular infarction reduced cardiac output by 23% and stroke volume by 30%o. End-diastolic segment length and transmural pressure of the left ventricle decreased. Volume loading restored cardiac output to baseline values and was mediated by a significant increase in end-diastolic length in the noninfarct territory. This was achieved by increasing right ventricular end-diastolic pressure from 9 ± 2 to 16 ± 3 mm Hg (p < 0.01). Partial opening of the pericardium mediated significant increases in both end-diastolic segment lengths of the left ventricle and the noninfarct territory. Left ventricular end-diastolic pressure decreased slightly by 3 mm Hg (p =NS). Complete opening of the pericardium increased cardiac output and stroke volume and mediated a significant decrease in right and left ventricular end-diastolic pressures. Left ventricular transmural pressure and end-diastolic segment lengths of the left ventricle and the noninfarct territory increased. Left ventricular diastolic pressure-segment length relations were shifted upward by right ventricular infarction. A partial opening of the pericardium shifted this relation downward in all animals, and complete opening of the pericardium shifted the relation rightward and further downward. ConclusionsCardiac output is restored to baseline values by volume loading sufficient to increase the right ventricular diastolic pressure to 16±3 mm Hg. Evidence of pericardial constraint was observed and appears to be mediated by an atrioventricular interaction in addition to the direct ventricular interaction.
VIPR: A Visual Interface Tool for Programming Semantic Web Rules

Semantic technologies have evolved from the initial purpose of supporting semantic integration, information exchange for the semantic web, towards a generic set of engineering tools for knowledge modelling, representation, inference. However, there is still much work required within the area of Semantic computing, the area highlights a key research challenge involving the complexity in engineering Semantic rules, associated dedicated models. Many existing tools focus on the creation of models, but concentrate on providing support for domain experts, isolating users with no knowledge engineering experience. This paper aims to address this issue by introducing a novel approach to enable the visual creation of Semantic web rules, for use within ontological models, context-aware applications. The developed tool, known as VIPR, aims to provide a user-friendly, interactive approach to aid in the creation of Semantic rules for ontologies. The work describes the design process involved in creating VIPR, presents the results of a comparative user evaluation. The research highlights the extent to which this tool has on improving the usability, intuitiveness of creating rules in an interactive environment, assesses how the tool can improve the learnability level for users with no prior knowledge engineering experience.
Straight Skeletons by Means of Voronoi Diagrams Under Polyhedral Distance Functions

We consider the question under which circumstances the straight skeleton and the Voronoi diagram of a given input shape coincide. More precisely, we investigate convex distance functions that stem from centrally symmetric convex polyhedra as unit balls and derive sucient and necessary conditions for input shapes in order to obtain identical straight skeletons and Voronoi diagrams with respect to this distance function. This allows us to present a new approach for generalizing straight skeletons by means of Voronoi diagrams, so that the straight skeleton changes continuously when vertices of the input shape are dislocated, that is, no discontinuous changes as in the Euclidean straight skeleton occur.
Induction of cellular immune responses to tumor cells and peptides in colorectal cancer patients by vaccination with SART3 peptides.

The tumor-rejection antigen SART3 possesses two antigenic epitopes (SART3(109-118) and SART3(315-323)) capable of inducing HLA-A24-restricted and tumor-specific CTLs. To determine its safety and ability to generate antitumor immune responses, 12 patients with advanced colorectal cancer were administered s.c. vaccinations of these peptides. No severe adverse events were associated with the vaccinations. Significant levels of increased cellular immune responses to both HLA-A24+ colon cancer cells and the vaccinated peptide were observed in the postvaccination peripheral blood mononuclear cells in 7 of 11 and 7 of 10 patients tested, respectively, and the higher responses were observed in those patients vaccinated with the highest dose (3 mg/injection) of the peptides. These results encourage further development of SART3 peptide vaccine for colorectal cancer patients.
A word-based approach for duplicate picture in picture sequence detection

A novel word-based algorithm is presented to detect duplicate Picture in Picture (PiP) video sequences in this study. The conventional edge-based methods used to extract the PiP regions are not robust in the noise and blurring images. Bag of Words (BOW) model emphasizes words ambiguity and ignores spatial information. Without detecting the PiP regions and unlike the traditional word based approach, the algorithm grasps the information of visual spatial transformation via exploring the attributes of local matching key-point pairs. The pairs are generated by directly comparing the visual words. Finally, the impact of the words representations is discussed thoroughly, such as words size, diversity and weighting. The experiment is conducted in the TRECVID 2010 content-based copy detection developing database and F-measure is up to 94%. From the results, the algorithm is effective and efficient for the PiP video sequence detection.
Language specific crawling based on web pages features

Since Word Wide Web contains large set of data in different languages, retrieving language specific information creates a new challenge in information retrieval called language specific crawling. In this paper, a new approach is purposed for language specific crawling in which a combination of some selected content and context features of web documents have been applied. This approach has been implemented for Persian language and evaluated in Iranian web domain. The evaluation results show how this approach can improve the performance of crawling from speed and coverage points of view.
Design and Evaluation of Navigation Techniques for Multiscale Virtual Environments

The design of virtual environments for applications that have several levels of scale has not been deeply addressed. In particular, navigation in such environments is a significant problem. This paper describes the design and evaluation of two navigation techniques for multiscale virtual environments (MSVEs). Issues such as spatial orientation and understanding were addressed in the design process of the navigation techniques. The evaluation of the techniques was done with two experimental and two control groups. The results show that the techniques we designed were significantly better than the control conditions with respect to the time for task completion and accuracy.
Criteria to screen for chronic sinonasal disease.

BACKGROUND Sinusitis and rhinitis are associated with uncontrolled asthma. There are no simple, validated tools to screen for these diseases. The objective of this study was to assess instruments to assist in the diagnosis of chronic sinonasal disease. METHODS Participants without acute sinonasal symptoms underwent an extensive evaluation. The results were submitted to an expert panel that used the Delphi method to achieve consensus. Using the consensus diagnosis of the panel, we determined the sensitivity and specificity of test procedures to diagnose chronic sinonasal disease. We determined the reproducibility of the most sensitive and specific instrument in a separate cohort. RESULTS Fifty-nine participants were evaluated, and the expert panel reached consensus for all (42 participants with chronic sinonasal disease, 17 participants without chronic sinonasal disease). A six-item questionnaire based on the frequency of nasal symptoms was the most sensitive tool used to diagnose sinonasal disease (minimum specificity, 0.90). Reproducibility testing in a separate cohort of 63 participants (41 chronic sinonasal disease with asthma, 22 chronic sinonasal disease without asthma) showed a concordance correlation coefficient of 0.91 (95% CI, 0.85 to 0.94) when this questionnaire was limited to five items (ie, excluding a question on smell). This five-item questionnaire had a sensitivity of 0.90 (95% CI, 0.77 to 0.97), a specificity of 0.94 (95% CI, 0.71 to 1.00), and an area under the receiver operating characteristic curve of 0.97 (95% CI, 0.93 to 1.0). Sinus CT scans and nasal endoscopy lacked sensitivity for use in the diagnosis of chronic sinonasal disease. CONCLUSIONS We have developed a sensitive, specific, and reproducible instrument to screen for chronic sinonasal disease. Validation studies of this five-item questionnaire are needed, including in patients with asthma.
Using Open Source Tool for Developing 3D Graphic Simulations on PC-Clusters

3D graphic simulation is one area of computergraphics field to representing geometry of objectsinto the scene. Scenegraph concept can be used as asolution for the management of geometry and scenesin graphical applications. OpenSceneGraph is oneopen source toolkit for developing graphicalsimulation based on OpenGL standard which use scenegraph management. This paper presents theusing of OpenSceneGraph as the open source tool kit for developing 3D graphic simulations based on distributed rendering on a PC-Cluster. Using a PCClusterto distribute the graphic rendering process is coupled with a significant effort because OpenSceneGraph does not support cluster rendering.
Increasing Psychological Literacy and Work Readiness of Australian Psychology Undergraduates through a Capstone and Work‐Integrated Learning Experience: Current Issues and What Needs to be Done

Objective While most students undertaking bachelor level training in psychology will not become registered psychologists, as graduates they join a large pool of well‐educated and psychologically literate citizens who can apply psychology in a range of contexts. Our objective is to showcase the literature on capstone and work integrated learning (WIL) courses and outline how these specialised courses could be utilised to support undergraduate psychology students and ensure the community benefits from their strengths. Method In this paper, we summarise the current issues, emerging trends, and educational priorities in this area. We provide a critical survey of the extensive literature produced in the last decade, offering a synthesis of current thinking in the field and perspectives on directions forward. We review and summarise different primary studies on capstone and WIL courses from which we draw conclusions into a holistic integration gained by the authors’ own experience and the available literature. Results Capstone and WIL courses address a significant gap in the work readiness of Australian psychology undergraduates and may also consolidate these students’ psychological literacy. Conclusions Developing a sense of professional identity and increasing self‐efficacy in these graduates can enhance students’ work readiness, potentially facilitating a smooth transition into professional work. We advocate for changes to the education of psychology undergraduates and outline the implications for the future workforce.
Creating and Transforming Markets for Sustainability " Multinationals ’ strategic responses to climate change

Multinational corporations face much uncertainty about the competitive effects of the Kyoto Protocol and related regulatory measures. As a result, companies are exploring different market strategies to address global warming and reduce greenhouse gas emissions. This project examines the strategic options available to companies, focusing on the market responses, and identifies the actual patterns of market-oriented actions being taken. These climate change strategies consist of different combinations of the market components available to managers. Companies turn out to follow distinctive pathways in addressing climate change. Under a flexible regulatory regime, managers have the possibility to choose between more emphasis on improvements in their business activities or on compensatory approaches such as emissions trading; and to do this merely on their own or by interacting with external actors, be it other companies in the supply chain or industry, NGOs or (local) governments. Differences in climate strategies will be explained by paying attention to homeand host-country, sector, and firm-specific influences.
Integrating Genetic and Ant Algorithm into P2P Grid Resource Discovery

Grid computing and peer-to-peer computing are both hot topics at present. The convergence of the two systems is increasingly visible, and OGSA provides a framework for integrating grid and peer to peer. However, grid resource discovery is a key issue for peer-to-peer grid. In contrast with the traditional grid resource discovery algorithm, genetic ant algorithm firstly uses genetic algorithm to find the coarsest GridPeer resources quickly, then to find accurate resources through the ant algorithm. Theoretical analysis and simulations prove that genetic ant algorithm in peer-to-peer grid can improve the performance of resource discovery.
Optimal Dynamic Assortment Planning

We study a family of stylized assortment planning problems, where arriving customers make purchase decisions among offered products based on maximizing their utility. Given limited display capacity and no a priori information on consumers’ utility, the retailer must select which subset of products to offer. By offering different assortments and observing the resulting purchase behavior, the retailer learns about consumer preferences, but this experimentation should be balanced with the goal of maximizing revenues. We develop a family of dynamic policies that judiciously balance the aforementioned tradeoff between exploration and exploitation, and prove that their performance cannot be improved upon in a precise mathematical sense. One salient feature of these policies is that they “quickly” recognize, and hence limit experimentation on, strictly suboptimal products. Preliminary Draft Copy – Not for Distribution Short Title: Optimal Dynamic Assortment Planning
The pretty project : exploring the mechanisms through which girls learn about prettiness from their mothers

4 List of Tables . 5 Introduction . 6 Method . 15 Results . 23 Discussion . 29 References . 39 MOTHERS, DAUGHTERS, AND PRETTINESS 4
3D reconstruction of dynamic scenes from two asynchronous video-streams

We present an algorithm for reconstruction of dynamic scenes from a video input of an asynchronous stereo-pair. Our method presumes that the timestamps of the frame acquisitions and the intrinsic parameters of the stereo cameras are known, as well as, that the extrinsic parameters can be estimated from static regions of the scene. It computes the 3D trajectory of each individual point by modeling its motion parameters. Our algorithm requires in addition to the two asynchronous images from the camera pair, two additional images from one of the cameras for its processing. Since dynamic scene elements cause wrong reconstructions, here we introduce a two stage process in which the directions of the possible motion components are estimated prior to the 3D pose estimation of the corresponding point.
Theory on Plasmon Modes of the Cell Membranes

Considering the plasmon oscillation of each layer of the cell membranes as a quasi-particle, we introduce a simple model for the membrane collective charge excitations, take into account the surface effective potential of the plasmonplasmon interaction between two layers. By using the useful Bogoliubov transformation method, we easily obtained the expressions of the frequencies of plasmon oscillations as a function of wave-number k and membrane thickness d, magnitude of these frequencies is in the order of p kd. Our results are in good agreement with ones obtained by
Java-meets eclipse: An IDE for teaching Java following the object-later approach

In this paper, we introduce a new Eclipse-based IDE for teaching Java following the object-later approach. In particular, this IDE allows the programmer to write code in Java-, a smaller version of the Java language that does not include object-oriented features. For the implementation of this language we used Xtext, an Eclipse framework for implementing Domain Specific Languages; besides the compiler mechanisms, Xtext also allows to easily implement all the IDE tooling mechanisms in Eclipse. By using Xtext we were able to provide an implementation of Java - with all the powerful features available when using an IDE like Eclipse (including debugging, automatic building, and project wizards). With our implementation, it is also straightforward to create self-assessment exercises for students, which are integrated in Eclipse and JUnit.
What internal set theory knows about standard sets

We characterize those standard models M of ZFC which are embeddable, as the class of all standard sets, in a model of internal set theory IST. The necessary and sufficient condition is that 1) there is a wellordering < of M which does not destroy the ZFC schemata, and 2) the truth relation for (M,<) does not destroy Separation. The result is interpreted as the answer for the question in the title.
Distributed Vision-Based Reasoning for Smart Home Care

In this paper we develop a distributed vision-based smart home care system aimed for monitoring elderly persons remotely. The cameras are triggered by a broadcast from the user badge when accelerometers on the badge detect a signal indicating an accidental fall. Tracking the approximate position of the user by the network allows for triggering cameras with the best views. Distributed scene analysis modules analyze the user’s posture and head location; these information are merged through a collaborative reasoning module, which makes a final decision about the type of the report that needs to be prepared. The developed prototype also allows for a voice channel to be established between the user badge and a call center over the phone line. A description of the developed network and several examples of the vision-based reasoning algorithm are presented in the paper.
Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification

A novel audio feature projection using Kernel Discriminative Locality Preserving Canonical Correlation Analysis (KDLPCCA)-based correlation with electroencephalogram (EEG) features for favorite music classification is presented in this paper. The projected audio features reflect individual music preference adaptively since they are calculated by considering correlations with the user's EEG signals during listening to musical pieces that the user likes/dislikes via a novel CCA proposed in this paper. The novel CCA, called KDLPCCA, can consider not only a non-linear correlation but also local properties and discriminative information of each class sample, namely, music likes/dislikes. Specifically, local properties reflect intrinsic data structures of the original audio features, and discriminative information enhances the power of the final classification. Hence, the projected audio features have an optimal correlation with individual music preference reflected in the user's EEG signals, adaptively. If the KDLPCCA-based projection that can transform original audio features into novel audio features is calculated once, our method can extract projected audio features from a new musical piece without newly observing individual EEG signals. Our method therefore has a high level of practicability. Consequently, effective classification of user's favorite musical pieces via a Support Vector Machine (SVM) classifier using the new projected audio features becomes feasible. Experimental results show that our method for favorite music classification using projected audio features via the novel CCA outperforms methods using original audio features, EEG features and even audio features projected by other state-of-the-art CCAs.