Miracle-dz/UniFAR-FTUs huggingface dataset:
Four cases of anaphylaxis to chlorhexidine impregnated central venous catheters: a case cluster or the tip of the iceberg?

on nursing workload when analgesia and antiemetic prophylaxis are near-optimal. Can J Anaesth 2007; 54: 243–4 10 Liu SS, Zayas VM, Gordon MA, et al. A prospective, randomized, controlled trial comparing ultrasound versus nerve stimulator guidance for interscalene block for ambulatory shoulder surgery for postoperative neurological symptoms. Anesth Analg 2009; 109: 265–71 11 Casati A, Danelli G, Baciarello M, et al. A prospective, randomized comparison between ultrasound and nerve stimulation guidance for multiple injection axillary brachial plexus block. Anesthesiology 2007; 106: 992–6 12 Kapral S, Greher M, Huber G, et al. Ultrasonographic guidance improves the success rate of interscalene brachial plexus blockade. Reg Anesth Pain Med 2008; 33: 253–8 13 Delbrouck C, Dauty M, Huguet D, Dubois C. Rehabilitation after shoulder rotator cuff surgery: in-patient or day-hospitalization (about 76 cases). Ann Readapt Med Phys 2003; 46: 207–13
High performance polyphase FIR filter structures in VHDL language for Software Defined Radio based on FPGA

Digital filters are necessary in digital transmitter / receiver side and popularity of Software Defined Radio (SDR) is forcing complex digital signal processing blocks to be implemented in parallel design flow on FPGA or ASIC. The goal of this paper is to develop efficient pipelined polyphase FIR filter structures in VHDL language for RTL synthesis on FPGA. The proposed structures contain fully parallel polyphase decimation and interpolation FIR filter models. The first part of this paper is focused on formulation of distributed arithmetic technique with polyphase decomposition, which represents the core of designed models. The second part describes mentioned polyphase FIR VHDL models. The extensive emphasis will be put on efficient pipelined implementation with excellent registered performance and optimal design size balance. The third part of this paper deals with rapid design and simulation of proposed VHDL models. The result of RTL synthesis is finally discussed. Very good performance and optimal design size are main benefits of proposed polyphase FIR filters. Developed structures are very suitable for multichannel operation in digital I/Q receiver.
Does Task Affordance Moderate Age-related Deficits in Strategy Production?

ABSTRACT According to the task-affordance hypothesis, people will be more likely to use a specific strategy as tasks more readily afford its use. To evaluate this hypothesis, we examined the degree to which older and younger adults used a self-testing strategy to learn items, because previous studies suggest that age-related differences in the use of this powerful strategy vary across tasks. These tasks (words affixed to a board vs. pairs on flashcards) differentially afford the use of the self-testing strategy and may moderate the age-related effects on strategy use. Participants performed a recall-readiness task in which they continued to study items until they were ready for the criterion test. As predicted, self testing was used less often on tasks that least afforded its use. Namely, participants used self testing less when they studied single words affixed to a board than when they studied pairs on flashcards. Most important, age-related deficits in strategy use were greater for the former task and nonexistent for the latter one, suggesting that task affordance moderates age differences in strategy use.
Molecular Analysis of Renal Allograft Biopsies—More Than a Nice Toy for Researchers?

The histological analysis of graft biopsy is the standardpresently used for diagnostics of renal injury and guid-ing therapeutic decisions after kidney transplantation yet.However, it has two major limitations:i. The reproducibility of histological scoring is still unsat-isfactory despite signiﬁcant progress during the last15 years based on the implementation of the BANFF-nomenclaturethatisregularlyupdated. Theconsensusclassiﬁcationimprovedqualityandcomparabilityofthehistological diagnoses. Nevertheless, most clinical tri-als use reassessment of histology by a single pathol-ogist to minimize inconsistency. In fact, several stud-ies revealed insufﬁcient reproducibility of pathologicaldiagnosis (1,2). ii. Morphological analysis oversimpliﬁes the complexityof graft injury processes with distinct mechanismsbehind. Although BANFF-nomenclature recently intro-duced new subtypes of graft injury, including subtypesofhumoralrejection,itcannotrevealthedistinctpatho-genesis that might have an impact on individual prog-nosis and therapy.There are no doubts on the unmet medical need for im-provement of diagnostics of renal injury to allow a morepersonalized approach of therapy after transplantation.A recent SWOT analysis summarized the strength but alsothe weaknesses of BANFF (1). Therefore,itisbelievedthattheopportunityliesinthenewtechnologies such as molecular analysis (mRNA and mi-cro RNA expression), proteomics and metabolomics frombiopsies or even blood or urine samples, specimen thatcan be noninvasively collected.This issue of
Automatic Event Detection for Signal-based Surveillance

Signal-based Surveillance systems such as Closed Circuits Televisions (CCTV) have been widely installed in public places. Those systems are normally used to find the events with security interest, and play a significant role in public safety. Though such systems are still heavily reliant on human labour to monitor the captured information, there have been a number of automatic techniques proposed to analysing the data. This article provides an overview of automatic surveillance event detection techniques . Despite it's popularity in research, it is still too challenging a problem to be realised in a real world deployment. The challenges come from not only the detection techniques such as signal processing and machine learning, but also the experimental design with factors such as data collection, evaluation protocols, and ground-truth annotation. Finally, this article propose that multi-disciplinary research is the path towards a solution to this problem.
Revenue Management Under the Markov Chain Choice Model

We consider revenue management problems when customers choose among the offered products according to the Markov chain choice model. In this choice model, a customer arrives into the system to purchase a particular product. If this product is available for purchase, then the customer purchases it. Otherwise, the customer transitions to another product or to the no purchase option, until she reaches an available product or the no purchase option. We consider three classes of problems. First, we study assortment problems, where the goal is to find a set of products to offer to maximize the expected revenue obtained from each customer. We give a linear program to obtain the optimal solution. Second, we study single resource revenue management problems, where the goal is to adjust the set of offered products over a selling horizon when the sale of each product consumes the resource. We show how the optimal set of products to offer changes with the remaining resource inventory. Third, we study network revenue .
A hierarchical fuzzy inference method for skill evaluation of machine operators

In machine work, the productivity, energy efficiency, and the quality of the work depend strongly on the skills of the human operator. This paper proposes a hierarchical method for skill evaluation of human operators in machine work during their normal work. The method refines skill metrics obtained from work cycle recognition -based evaluation system proposed earlier by the authors. The proposed skill components are: machine controlling skills, control parameter tuning skills, knowledge of the work technique and strategy, and planning and decision making skills. The skill components in each task are evaluated by a dedicated fuzzy inference system, whose rule base is generated automatically. The method is utilized to evaluate skills of nine operators of a cut-to-length forest harvester.
Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization

In this paper, we design a fast hierarchical clustering algorithm for high-resolution hyperspectral images (HSI). At the core of the algorithm, a new rank-two nonnegative matrix factorization (NMF) algorithm is used to split the clusters, which is motivated by convex geometry concepts. The method starts with a single cluster containing all pixels and, at each step, performs the following: 1) selects a cluster in such a way that the error at the next step is minimized and 2) splits the selected cluster into two disjoint clusters using rank-two NMF in such a way that the clusters are well balanced and stable. The proposed method can also be used as an endmember extraction algorithm in the presence of pure pixels. The effectiveness of this approach is illustrated on several synthetic and real-world HSIs and is shown to outperform standard clustering techniques such as k-means, spherical k-means, and standard NMF.
Effects of initial context processing on long-term memory

Abstract The effects of environmental context on the recall of information were studied in three experiments in which context was manipulated by changing rooms between study and test, with subjects learning a list of words in one room and later recalling it in the same environmental context or in a different one. Additionally, half of the subjects were instructed to pay extra attention to the study room at the time of learning the words, and half received standard instructions that did not explicitly focus their attention on room-processing. Context manipulation did not affect memory performance when the retention interval was short (10 minutes in Experiment 1), but showed reliable effects with longer retention intervals (1 week in Experiment 2, and 1 month in Experiment 3). In these two experiments, standard encoding instructions led to the usual context effects, with lower recall in the different-context condition. However, extra encoding conditions facilitated recall even when the context was different at retrieval. These findings are discussed in relation to recent theoretical developments.
In vivo properties of the disaggregase function of J‐proteins and Hsc70 in Caenorhabditis elegans stress and aging

Protein aggregation is enhanced upon exposure to various stress conditions and aging, which suggests that the quality control machinery regulating protein homeostasis could exhibit varied capacities in different stages of organismal lifespan. Recently, an efficient metazoan disaggregase activity was identified in vitro, which requires the Hsp70 chaperone and Hsp110 nucleotide exchange factor, together with single or cooperating J‐protein co‐chaperones of classes A and B. Here, we describe how the orthologous Hsp70s and J‐protein of Caenorhabditis elegans work together to resolve protein aggregates both in vivo and in vitro to benefit organismal health. Using an RNAi knockdown approach, we show that class A and B J‐proteins cooperate to form an interactive flexible network that relocalizes to protein aggregates upon heat shock and preferentially recruits constitutive Hsc70 to disaggregate heat‐induced protein aggregates and polyQ aggregates that form in an age‐dependent manner. Cooperation between class A and B J‐proteins is also required for organismal health and promotes thermotolerance, maintenance of fecundity, and extended viability after heat stress. This disaggregase function of J‐proteins and Hsc70 therefore constitutes a powerful regulatory network that is key to Hsc70‐based protein quality control mechanisms in metazoa with a central role in the clearance of aggregates, stress recovery, and organismal fitness in aging.
Gender dimensions of structural adjustment: the role of economic theory

Summary Macroeconomic theory identifies sectors which will be differentially affected by structural adjustment. This article considers the gender dimensions of such effects and how they can be analysed using large scale household surveys. Examples are given using the 1986 LSMS of the Cote d'Ivoire focusing on gender differentials in access to formal employment and education and on the relationship between the gender distribution of income and the pattern of expenditures. Some advantages and limitations of such datasets are considered. Resume La dimension du genre dans l'ajustement structurel: le role de la theorie economique et de l'analyse quantitative La theorie macroeconomique identifie des secteurs qui seront affectes differentiellement par l'ajustement structurel. Le present article examine le resultat de ces effets sur la dimension du genre, et s'interroge sur les moyens de les analyser en faisant appel a des etudes de grande envergure dans les menages. Certains des exemples donnes se fondent sur le LSMS de 1986 pour la Cote d'Ivoire, et se concentrent sur la differentiation des genres au niveau de l'acces aux systemes ‘formels’ d'emploi et d'enseignement et, au niveau des genres, sur les rapports entre la distribution des revenus et celle des depenses. L'article reflechit en outre a certains des avantages et inconvenients de ces series de donnees. Resumen La Dimension por Genero del Ajuste Estructural: Et Rol de la Teoria Economica y del Analisis Quantitativo La teoria macroeconomica analiza los distintos impactos que un proceso estructural tendra en diferentes sectores. El articulo estudia los efectos bajo el contexto del genero y como pueden ser analizados utilizando questionarios de familias. Presenta algunos ejemplos utilizando el LSMS de 1986 de Costa de Marfil, concentrandose en diferencias por sexo al acceso a empleo y a educacion y a la relacion entre discriminacion por genero de los ingreos economicos y el modelo de desembolso. Finalmente, el articulo estudia algunas ventajas y limitaciones de estos bancos de datos.
Role of ornithine decarboxylase in the regulation of cell growth by IL-1 and tumor necrosis factor.

Ornithine decarboxylase (ODC) is a rate-limiting enzyme in polyamine synthesis, and polyamines are required for cell growth. As an approach to clarifying the mechanism of action IL-1, the effects of IL-1 on ODC activity were examined in various cell lines whose proliferation was either suppressed or enhanced by IL-1. The proliferation of all cell types used in these experiments was markedly suppressed by a specific ODC inhibitor, alpha-difluoromethyl ornithine (DFMO), substantiating the crucial role of ODC activity for cell proliferation. ODC activity also was considerably suppressed by IL-1 in those cells on which IL-1 exerts an antiproliferative effect, such as a human melanoma cell line (A375) and malignant human mammary cell lines (MCF-7 and T-47D). On the other hand, ODC activity was stimulated in cells that are stimulated to proliferate in response to IL-1, such as a mouse helper T cell line (D10.G4.1), a NK cell-like cell line (YT), and a human glioblastoma cell line (U373 MG). The effect of IL-1 on ODC activity preceded and directly correlated in a dose-dependent manner with its effect on DNA synthesis. Furthermore, putrescine, a product of the ODC reaction and a precursor of polyamines, was able to overcome most, but not all, the antiproliferative action of IL-1 in A375 melanoma cells, which were the most sensitive to suppression by IL-1. However, putrescine did not reverse the cytostatic effect of IL-1 on MCF-7 and T-47D cell lines. In contrast, putrescine, like IL-1, exhibited some co-mitogenic activity on D10.G4. 1 cells. Because the biological activities of TNF and IL-1 show considerable overlap, the effect of TNF on ODC activity also was examined. TNF had an antiproliferative effect on A375 cells and stimulated the proliferation of U373 MG cells. The ODC activity in A375 cells was suppressed by TNF, and the ODC activity in U373 MG cells was stimulated by TNF. Putrescine also partially overcame the inhibitory effect of TNF. These results suggest that the regulation of ODC activity may be a key component in the antiproliferative and proliferative action of IL-1 and TNF in some tumor cell types.
One-step Generation of Phenotype-expressing Triple-knockout Mice with Heritable Mutated Alleles by the CRISPR/Cas9 System

Triple-knockout mice generated by the one-step CRISPR/Cas9 system were examined for the effects of multiple gene modifications on each phenotype and individual gene function. Sixty embryos were transferred, and 9 pups were obtained; all 9 pups had mutations on 3 loci, and 7 pups showed mutations in all-alleles. F0 mice showed knockout phenotypes or no protein expression of target genes simultaneously, and these mutations were normally inherited in the next generation.
Automatic 2 D / 2 D Registration using Multiresolution Pyramid based Mutual Information in Image Guided Radiation Therapy

Medical image registration is the key technology in image guided radiation therapy (IGRT) systems. On the basis of the previous work on our IGRT prototype with a biorthogonal x-ray imaging system, we described a method focused on the 2D/2D rigid-body registration using multiresolution pyramid based mutual information in this paper. Three key steps were involved in the method : firstly, four 2D images were obtained including two x-ray projection images and two digital reconstructed radiographies(DRRs ) as the input for the registration;Secondly, each pair of the corresponding x-ray image and DRR image were matched using multiresolution pyramid based mutual information under the ITK registration framework; Thirdly, we got the final couch offset through a coordinate transformation by calculating the translations acquired from the two pairs of the images. A simulation example of a parotid gland tumor case and a clinical example of an anthropomorphic head phantom were employed in the verification tests. In addition, the influence of different CT slice thickness were tested. The simulation results showed that the positioning errors were 0.068±0.070, 0.072±0.098, 0.154±0.176mm along three axes which were lateral, longitudinal and vertical. The clinical test indicated that the positioning errors of the planned isocenter were 0.066, 0.07, 2.06mm on average with a CT slice thickness of 2.5mm. It can be concluded that our method with its verified accuracy and robustness can be effectively used in IGRT systems for patient setup. Keywords—2D/2D registration , image guided radiation therapy,multiresolution pyramid, mutual information
Estimating the Effort to Develop Screen Mockups

There is empirical evidence supporting the usefulness of screen mockups in improving the comprehension of use cases. Though a cost-benefit analysis would require an estimate of the effort required to produce them. In this paper, we present an empirical study with students and professionals to estimate the effort to develop mockups starting from use cases. We adopted Step Wise Linear Regression to build estimation models based on use case size measures (e.g., the number of steps and the number of characters). The leave-one-out cross validation has been adopted to assess the accuracy of our models against a baseline benchmark. The results of our empirical study show that the estimates obtained with our models are significantly better than those achieved by using the chosen baseline benchmark.
Innovandio S.A. at CLEF-IP 2013

Patentability and novelty search is an essential part of any patent application. It ensures that the idea that should be patented has not already been registered anywhere else in the world. However, this task is complicated by the large number of documents and the fact that they are written in many different languages. In this paper we survey four approaches that will help to automate the task and share the insights we have gained through our participation in the CLEF-IP Workshop 2013.
More Compact Oracles for Approximate Distances in Undirected Planar Graphs

Distance oracles are data structures that provide fast (possibly approximate) answers to shortest-path and distance queries in graphs. The tradeoff between the space requirements and the query time of distance oracles is of particular interest and the main focus of this paper. Unless stated otherwise, we assume all graphs to be planar and undirected. In FOCS 2001 (J. ACM 2004), Thorup introduced approximate distance oracles for planar graphs (concurrent with Klein, SODA 2002). Thorup proved that, for any e > 0 and for any undirected planar graph G = (V,E) on n = |V| nodes, there exists a (1 + e)--approximate distance oracle using space O(ne−1 log n) such that approximate distance queries can be answered in time O(e−1). In this paper, we aim at reducing the polynomial dependency on e−1 and log n, getting the first improvement in the query time--space tradeoff. To simplify the statement of our bounds, we define O(·) to hide log log n and log(1/e) factors. • We provide the first oracle with a time--space product that is subquadratic in e−1. We obtain an oracle with space O(n log n) and query time O(e−1). • For unweighted graphs we show how the logarithmic dependency on n can be removed. We obtain an oracle with space O(n) and query time O(e−1). This bound also holds for graphs with polylogarithmic average edge length, which may be a quite reasonable assumption, e.g., for road networks.
Vivace

The solution of large sparse systems of linear constraints is at the base of most interactive solvers for physically-based animation of soft body dynamics. We focus on applications with hard and tight per-frame resource budgets, such as video games, where the solution of soft body dynamics needs to be computed in a few milliseconds. Linear iterative methods are preferred in these cases since they provide approximate solutions within a given error tolerance and in a short amount of time. We present a parallel randomized Gauss-Seidel method which can be effectively employed to enable the animation of 3D soft objects discretized as large and irregular triangular or tetrahedral meshes. At the beginning of each frame, we partition the set of equations governing the system using a randomized graph coloring algorithm. The unknowns in the equations belonging to the same partition are independent of each other. Then, all the equations belonging to the same partition are solved at the same time in parallel. Our algorithm runs completely on the GPU and can support changes in the constraints topology. We tested our method as a solver for soft body dynamics within the Projective Dynamics and Position Based Dynamics frameworks. We show how the algorithmic simplicity of this iterative strategy enables great numerical stability and fast convergence speed, which are essential features for physically based animations with fixed and small hard time budgets. Compared to the state of the art, we found our method to be faster and scale better while providing stabler solutions for very small time budgets.
Strongly Connected Components in Graph Streams

Frequently studied networks, such as social networks, are often massive, directed, and change over time. Thus studying network analysis algorithms in terms of data streaming is a practical model for understanding how companies and other organizations can process data in a useful, realistic way. One potentially interesting feature of a directed graph is strongly connected components. We design and analyze a strongly connected components algorithm, Distributed Look and Select in a recently developed data streaming model, X-Stream. We analyze the effectiveness of the algorithm and the key data features which allow it to perform best. Finally, we provide empirical results on the performance of the algorithm and how the setup can be used to derive additional properties of the network.