Miracle-dz/UniFAR-FTUs huggingface dataset:
Thrombolytic Therapy Causes an Increase in Vascular Permeability That Is Reversed by 1‐Deamino‐8‐D‐Vasopressin

BackgroundTo examine the effect of plasminogen activator therapy on vascular permeability, we used a modified rabbit mesenteric model of extravascular tissue accumulation of radiolabeled albumin. Methods and ResultsAlbumin deposition was measured after saline, tissue-type plasminogen activator (t-PA; 0.86 mg/kg for 1 hour followed by 0.29 mg/kg for 2 hours), or t-PA plus 1-deamino-8-D-arginine vasopressin (DDAVP; 0.6 mg/kg/hr for 30 minutes) infusion in animals with or without aspirin (ASA; 15-mg/kg bolus) pretreatment. In animals not given ASA, t-PA caused a 240% increase in tissue ['251]albumin accumulation over time (p < 0.001). DDAVP prevented the rise in albumin accumulation normally seen with t-PA alone (p < 0.05) in animals not given ASA. In animals pretreated with ASA, t-PA similarly caused an increase in tissue albumin accumulation, but this was significantly attenuated from that of animals not given ASA (p < 0.03). Interestingly, DDAVP failed to block the response to t-PA in the animals given ASA. Because increases in vascular permeability correlated with increases in bleeding time (r = 0.37, p < 0.03), these data suggest that the effect of plasmin generation on vascular permeability may contribute to the bleeding tendency seen with thrombolytic therapy. The ability of DDAVP to reverse the bleeding tendency and bleeding time may be due in part to its reversal of the increased vascular permeability induced by the administration of plasminogen activators. ConclusionsThese data show that plasminogen activation causes an increase in vascular permeability that is inhibited by DDAVP; ASA blunts this action of t-PA and prevents the DDAVP blockade of the increase in permeability induced by t-PA in this rabbit model.
Effective surface impedance of polycrystals under anomalous skin effect conditions

The effective impedance of strongly anisotropic polycrystals has been investigated under the conditions of extremely anomalous skin effect. We were interested in finding out how the value of the effective impedance depends on the geometry of the Fermi surface of a single crystal grain. The previously obtained nonperturbative solution based on the application of the impedance (the Leontovich) boundary conditions was used to calculate the effective impedance of a polycrystalline metal. Some model Fermi surfaces were examined. In the vicinity of the electronic topological transition the singularities of the effective impedance related to the change of the topology of the Fermi surface were calculated. Our results show that though a polycrystal is an isotropic medium in average, it is not sufficient to consider it as a metal with an effective spherical Fermi surface, since this can lead to the loss of some characteristic features of extremely anomalous skin effect in polycrystals.
An Adaptive Information Research Personal Assistant

Available tools to retrieve information from the Web implement a generalist approach that does not account for the characteristics of the user. This limits the quality of the results that they provide. The agent presented here uses document references gathered by a user to build a hierarchical model (user profile) of this user’s interests. The agent then uses the model to interpret the queries and to filter the results returned by the search engines of the Web. It also uses information gathered while observing the on-going activities of the user to select the most relevant parts of this profile.
Design of signal modulator for RF polar transmitter

This paper presents new approach to signal modulation for high efficiency polar transmitter. The new modulator is derived by analyzing complex to polar transforming equations. Once spectral behavior of an envelope and phase signals are known, new architecture offering lower complexity in an analog domain and more flexibility for reconfiguration than a conventional modulator is derived. Concept of the modulator is verified in the course of step-by step simulations with a 5MHz BW input signal at a carrier frequency fC = 2.14GHz. Also, a drain efficiency of a Class E PA driven by the modulator is discussed, and optimal solution for sampling rate is proposed.
GENERALIZED DUALITY AND SINGULAR STRINGS IN HIGHER DIMENSIONS

Deformations of gauged WZW actions are constructed for any pair (G, H) by taking different embeddings of the gauge group H⊂G as it acts on the left and right of the group element g. This leads to models that are dual to each other, generalizing the axial/vector duality of the two-dimensional black hole manifold. The classical equations are completely solved for any pair (G, H) and in particular for the anti-de-Sitter string based on SO(d−1,2)/SO(d−1,1) for which the normal modes are determined. Duality is demonstrated for models that have the same set of normal modes. Concentrating on SO(2, 2)/SO(2, 1), the metric and dilaton fields of the d=3 string as well as some of the dual generalizations are obtained. They have curvature singularities and represent new singular solutions of Einstein’s general relativity in three dimensions.
Video based augmented reality for immersive virtual reality system

We presented a method to configure a video based augmented reality system for an immersive virtual reality. Since an audience can not observe 3D user interaction processes in the personalized immersive virtual reality, we need a system to share 3D interaction to the audience like an augmented reality system. Building on the augmented reality system using an RGBD sensor, we refine unstable depth measurements in front of non-Lambertian objects by filtering the image in two-steps and removing the shadow effect. Finally, we showed depth-aware augmented reality images to demonstrate our system.
Dis)continuing the continued influence effect of misinformation

Misinformation can often have a lasting impact on the causal inferences people make about events even after it is unambiguously corrected. This is known as the continued influence effect of misinformation. Understanding the underlying cognitive processes involved in correcting misinformation is important for developing effective counter-misinformation strategies. A review of continued influence studies suggests that methodological factors, such as the scenario in which misinformation appears, can affect the strength of a correction independently of experimental manipulations. This thesis’ primary aim was to advance understanding the continued influence effect and the conditions that give rise to it, by addressing issues with the methodological approach. Experiments 1A-2B developed and validated a methodology for web-based testing of the continued influence effect in order to target larger and more diverse samples. Two key claims from the continued influence literature were replicated; and the introduction of a novel control condition showed that misinformation is referred to even if it is only mentioned as part of the correction. Experiments 3-5 re-examined the claim that corrections, which explain how misinformation occurred, reduce reliance on misinformation. Findings showed no evidence that explanatory corrections reduce misinformation reliance in multiple scenarios; and continued influence of misinformation was observed in some scenarios but not others. Experiments 6-7 revisited the claim that misinformation, which implies a likely cause of an outcome is more impervious to correction than explicitly stated misinformation. Findings showed no evidence for this claim in three scenarios. I argue that the continued influence effect is a tenuous claim predicated on findings from a small set of scenarios that are unrepresentative of real-world situations in which misinformation is encountered. I propose that the conditions under which continued influence of misinformation occurs are poorly understood and recommend formally modelling the continued influence effect to gain a better understanding of this phenomenon.
Centralised Bargaining, Multitasking and Work Incentives

The paper examines the implications of an important aspect of the ongoing reorganization of work - the move from occupational specialization toward multi-tasking - for centralized wage bargaining. The analysis shows how, on account of this reorganization, centralized bargaining becomes increasingly inefficient and detrimental to firms' profit opportunities, since it prevents firms from offering their employees adequate incentives to perform the appropirate mix of tasks. (This abstract was borrowed from another version of this item.)
Efficient video text recognition using multiple frame integration

Text superimposed on the video frames provides supplemental but important information for video indexing and retrieval. Many efforts have been made for videotext detection and recognition (video OCR). The main difficulties of video OCR are the low resolution and the background complexity. We present efficient schemes to deal with the second difficulty by sufficiently utilizing multiple frames that contain the same text to get every clear word from these frames. Firstly, we use multiple frame verification to reduce text detection false alarms. We then choose those frames where the text is most likely clear, thus it is more possible to be correctly recognized. We then detect and joint every clear text block from those frames to form a clearer "man-made" frame. Later we apply a block-based adaptive thresholding procedure on these "man-made" frames. Finally, the binarized frames are sent to an OCR engine for recognition. Experiments show that the word recognition rate has been increased over 28% by these methods.
A hybrid distributed test generation method using deterministic and genetic algorithms

Test generation is a highly complex and time-consuming task. In this work, we present a distributed method for combinational test generation. The method is based on a hybrid approach that combines both deterministic and genetic approaches. The deterministic phase is based on the D-algorithm and generates an initial set of test vectors that are evolved in the genetic phase in order to achieve high fault coverage in a short time. The algorithm is parallelized based on a cluster of workstations using the message passing interface (MPI) library. Several benchmark circuits were attempted, and favorable results comparisons are reported.
Comparison of Gene Expression between Cumulus Oocyte Complexes and Naked Oocytes by Suppression Subtractive Hybridization in Swine

In the antral follicle phase, several layers of cumulus cells surround the oocyte and play an important support and regulation role in oocyte development and maturation via intercellular communications and interactions between oocytes and cumulus cells. However, information on stage specific gene expression in swine during the phase is not well understood. To investigate the function of cumulus cells during in vitro maturation of porcine oocytes and gene expression, suppression subtractive hybridization (SSH) was performed to screen genes that were differentially expressed between cumulus-oocyte complexes (COCs) and naked oocytes (NOs). Utilizing mRNAs from in vitro maturation oocytes, a SSH cDNA library from COCs as the tester and NOs as the driver was constructed. The SSH cDNA library was then screened using dot blot analysis. Results showed that a total of 70 clones randomly selected from the library were differentially expressed. Among these, 41 exhibited high homology to known genes and 11 were novel expressed sequences tags (ESTs). Four differentially expressed genes, including bfgf, sprouty 2, egr and btc, were further studied by real time quantitative PCR; results confirmed an increased expression of respective mRNA in COCs compared with NOs, which suggests that these factors may play an important role in oocyte development and maturation.
Experimental and Computational Approaches to Interfacial Resistance in Solid-State Batteries

Solid-state batteries with inorganic solid electrolytes are expected to be an efficient solution to the issues of current lithium-ion batteries that are originated from their organic-solvent electrolytes. Although solid-state batteries had been suffering from low rate capability due to low ionic conductivities of solid electrolytes, some sulfide solid electrolytes exhibiting high ionic conductivity of the order of 10−2 S cm−1 have been recently developed. Since the conductivity is comparable to or even higher than that of liquid electrolytes, when taking the transport number of unity into account, ion transport in solid electrolytes has ceased from rate-determining; however, it has been replaced by that across interfaces. The sulfide electrolytes show high interfacial resistance to the high-voltage cathodes. Our previous studies have demonstrated that oxide solid electrolytes interposed at the interface reduces the resistance, and they also suggest that the high resistance is attributable to a lithium-depleted layer formed at the interface. This study employs the first-principles calculation in order to gain insight into the interface. The interface structure between an oxide cathode/sulfide electrolyte simulated by the first-principles molecular dynamics has disclosed the presence of lithium-depleted layer at the interface, and the electronic structure calculated on the basis of density functional theory strongly suggests that the charge current preferentially removes lithium ions from the sulfide electrolyte side of the interface to deplete the lithium ion there. These calculation results are consistent with the transport mechanism proposed from the experimental results.
Learning in Advance Selling with Heterogeneous Consumers

The advance selling strategy is implemented when a firm offers consumers the opportunity to order its product in advance of the regular selling season. Advance selling reduces uncertainty for both the firm and the buyer and enables the firm to update its forecast of future demand. The distinctive feature of the present study of advance selling is that we divide consumers into two groups, experienced and inexperienced. Experienced consumers know their valuations of the product in advance. The presence of experienced consumers yields new insights. Specifically, pre-orders from experienced consumers lead to a more precise forecast of future demand by the firm. We show that the firm will always adopt advance selling and that the optimal pre-order price may be at a discount or a premium relative to the regular selling price.
An Introduction to Electronic Voting

Introduction This paper is intended to introduce the subject of electronic voting. Electronic voting will be described in the context of other voting technologies. The potential benefits and risks of electronic voting systems are discussed. There will be some brief discussion of the current " environment " in terms of standards and testing programs, current and pending legislation, and electronic voting systems manufacturers. Desirable characteristics of voting systems will also be discussed. In addition to introducing the subject to the reader, a further objective of this paper is to provide background for an upcoming paper which will compare and contrast ideas for improving electronic voting systems utilizing cryptographic protocols.
Série Scientifique Scientific Series Static versus Dynamic Structural Models of Depression: the Case of the Ces-d Static versus Dynamic Structural Models of Depression: the Case of the Ces-d

partielle permise avec citation du document source, incluant la notice ©. Short sections may be quoted without explicit permission, if full credit, including © notice, is given to the source. Les cahiers de la série scientifique (CS) visent à rendre accessibles des résultats de recherche effectuée au CIRANO afin de susciter échanges et commentaires. Ces cahiers sont écrits dans le style des publications scientifiques. Les idées et les opinions émises sont sous l'unique responsabilité des auteurs et ne représentent pas nécessairement les positions du CIRANO ou de ses partenaires. This paper presents research carried out at CIRANO and aims at encouraging discussion and comment. The observations and viewpoints expressed are the sole responsibility of the authors. They do not necessarily represent positions of CIRANO or its partners. Résumé / Abstract La dépression comprend différentes facettes dont des symptômes interpersonnels, cognitifs, affectifs et somatiques. En effet, la majorité des mesures de la dépression sont de nature multidimensionnelle. Néanmoins, les utilisateurs de ces mesures utilisent typiquement le score total ou composé plutôt que le score individuel des dimensions. Nous proposons un examen plus en profondeur de la nature des relations entre ces dimensions sous-jacentes qui peut aider notre compréhension de la dépression. Des analyses par équations structurelles ont été utilisées auprès de 1,734 sujets afin de vérifier les relations de types statique (structures factorielles) et dynamique (modélisation causale) entre les dimensions de la version française du CES-D (Radloff, 1977). Les résultats des analyses transversales et prospectives soutiennent des liens de type causal entre les symptômes de la dépression. Ces résultats sont comparés à ceux des analyses factorielles hiérarchiques. Depression is composed of multiple subcomponents including social, cognitive, affective, and somatic symptomatology. Many widely used self-report scales are also multidimensional, suggesting that the subcomponents of depression are empirically differentiated, yet the use of a composite score is the common practice. The authors argue that a closer examination of the subscales of symptom inventories, and their interrelationships, can further our understanding of the development and persistence of depression. Structural equation modeling is used on the French version of CES-D responses (Radloff, 1977) from 1,734 participants, providing an explicit test of causal relations between several response classes commonly associated with depression. These structural models are consistent with a view of depression as a process that unfolds over time and are tested within both a cross-sectional and a prospective framework. They are compared to a higher-order …
Volunteers and China's Emerging Civil Society

The recent spectacular growth of volunteers in China after Wenchuan Earthquake has drawn the attention of researchers and policy makers. Most people regard it as an indicator of China's emerging civil society. This paper analyzes volunteering through both theoretical and empirical analyzes. It is argued that open institutions and groups are the link between volunteering and civil society. Institutional volunteering is less closely related to civic engagement in China. Data of volunteers who registered after Wenchuan Earthquake shows a quick decline over time, suggesting the existence of crowding out effect. Our empirical analysis uses the time to volunteer as the major variable for the supply of both individual volunteers and groups. The finding supports the private-good model of volunteers' motivation. The opportunity costs for volunteers, such as distance to the disaster area and skills, are important factors to volunteer supply.
On the optimal allocation of virtual resources in cloud computing networks

Cloud computing builds upon advances on virtualization and distributed computing to support cost-efficient usage of computing resources, emphasizing on resource scalability and on demand services. Moving away from traditional data-center oriented models, distributed clouds extend over a loosely coupled federated substrate, offering enhanced communication and computational services to target end-users with quality of service (QoS) requirements, as dictated by the future Internet vision. Toward facilitating the efficient realization of such networked computing environments, computing and networking resources need to be jointly treated and optimized. This requires delivery of user-driven sets of virtual resources, dynamically allocated to actual substrate resources within networked clouds, creating the need to revisit resource mapping algorithms and tailor them to a composite virtual resource mapping problem. In this paper, toward providing a unified resource allocation framework for networked clouds, we first formulate the optimal networked cloud mapping problem as a mixed integer programming (MIP) problem, indicating objectives related to cost efficiency of the resource mapping procedure, while abiding by user requests for QoS-aware virtual resources. We subsequently propose a method for the efficient mapping of resource requests onto a shared substrate interconnecting various islands of computing resources, and adopt a heuristic methodology to address the problem. The efficiency of the proposed approach is illustrated in a simulation/emulation environment, that allows for a flexible, structured, and comparative performance evaluation. We conclude by outlining a proof-of-concept realization of our proposed schema, mounted over the European future Internet test-bed FEDERICA, a resource virtualization platform augmented with network and computing facilities.
Frequency permutation arrays

Motivated by recent interest in permutation arrays, we introduce and investigate the more general concept of frequency permutation arrays (FPAs). An FPA of length n = mλ and distance d is a set T of multipermutations on a multiset of m symbols, each repeated with frequency λ, such that the Hamming distance between any distinct x,y ∈ T is at least d. Such arrays have potential applications in powerline communication. In this article, we establish basic properties of FPAs, and provide direct constructions for FPAs using a range of combinatorial objects, including polynomials over finite fields, combinatorial designs, and codes. We also provide recursive constructions, and give bounds for the maximum size of such arrays. © 2006 Wiley Periodicals, Inc. J Combin Designs 14: 463–478, 2006
Impact of Entity Disambiguation Errors on Social Network Properties

Entities in social networks may be subject to consolidation when they are inconsistently indexed, and subject to splitting when multiple entities share the same name. How much do errors or shortfalls in entity disambiguation distort network properties? We show empirically how network analysis results and derived implications can tremendously change depending solely on entity resolution techniques. We present a series of controlled experiments where we vary disambiguation accuracy to study error propagation and the robustness of common network metrics, topologies and key players. Our results suggest that for email data, not conducting deduplication, e.g. when operating on the level of email addressed instead of individuals, can make organizational communication networks appear to be less coherent and integrated as well as bigger than they truly are. For co-publishing networks, improper merging as caused by the commonly used initial based disambiguation techniques can make a scientific sector seem more dense and cohesive than it really is, and individual authors appear to be more productive, collaborative and diversified than they actually are. Disambiguation errors can also lead to the false detection of power law distributions of node degree; suggesting preferential attachment processes that might not apply.