Miracle-dz/UniFAR-FTUs huggingface dataset:
Systemic use of anti-inflammatory medications and age-related maculopathy: the Blue Mountains Eye Study

Purpose To assess whether an association exists between systemic use of anti-inflammatory medications at baseline and the prevalence or incidence of either late or early age-related maculopathy (ARM) in a population-based cohort. Methods 3654 participants of the Blue Mountains Eye Study baseline examination (1992–94) were followed during 1997–99. Use of anti-inflammatory medication was recorded during the baseline interview. After excluding 543 persons who died since baseline, 2334 (75% of the surviving participants) attended 5-year follow-up examinations. Retinal photographs taken during both examinations were graded using the Wisconsin Age-Related Maculopathy Grading System. Prevalence refers to the proportion of participants having ARM at baseline. Incidence refers to the proportion of participants without ARM at baseline who developed it over the 5-year period. Known ARM risk factors were adjusted for when assessing the relationship between use of anti-inflammatory medications and ARM. Results At baseline, 1010 (27.6%) of 3654 participants were current users of non-steroidal anti-inflammatory drugs (NSAIDs), 514 (14.1%) were past users and 1282 (35.1%) were ever users. The corresponding numbers of subjects reporting current, past or ever use of corticosteroids (including inhaled steroids) were 225 (6.2%), 519 (14.2) and 564 (15.4), respectively. Late ARM was present in 72 participants (2.0%) and early ARM was present in 171 participants (4.9%) at the baseline examination. During the follow-up period, 25 participants (1.1%) developed incident late ARM and 192 (8.7%) developed incident early ARM. After adjusting for age, sex, family history of ARM and smoking, no significant associations were evident for the use of NSAIDs or corticosteroids and the prevalence of either late or early ARM. There were also no associations found between use of these medications at baseline and the 5-year incidence of either late or early ARM. Conclusions No association was found between use of systemic anti-inflammatory medications and either the cross-sectional prevalence or longitudinal incidence of ARM in this population.
Temperature compensation of Longitudinal Leaky SAW with silicon dioxide overlay

Longitudinal leaky surface acoustic wave (LLSAW) is attracting considerable attention for its high velocity and reasonable coupling coefficient. The intrinsic temperature coefficient of frequency (TCF) for these waves for different longitudinal cuts with metal gratings is in the range of -110 to -90 ppm/degC. However, for certain filter applications the TCF of the LLSAW waves must be quite low in the range of ~ 20 to -20 ppm/degC. The introduction of a positive TCF overlay material (generally SiO2) alters the LLSAW wave characteristics, and also changes the coupling coefficient. The modified LLSAW mode retains the same high velocity characteristics with an estimated improved TCF. Thus, a systematic study has been attempted by us to evaluate the effect of SiO2 on some interesting longitudinal cuts, such as, YZ and 128deg lithium niobate. In this paper, we show the possibility to realize a good TCF value for LLSAW mode using a three dimensional (3-D) periodic finite element (FE) model. The predicted results show an improvement in the TCF value to -20 ppm/degC for the modified LLSAW mode which is in excellent agreement with the measurement results.
Success rate of orotracheal intubation via GlideScope versus direct laryngoscopy in manikin-only-trained medical personnel.

ill: A systematic review of the literature. Crit Care Med 2008; 36:2667–74 6. Atzil S, Arad M, Glasner A, Abiri N, Avraham R, Greenfeld K, Rosenne E, Beilin B, Ben-Eliyahu S: Blood transfusion promotes cancer progression: A critical role for aged erythrocytes. ANESTHESIOLOGY 2008; 109:989–97 7. Shander A, Hofmann A, Gombotz H, Theusinger OM, Spahn DR: Estimating the cost of blood: Past, present, and future directions. Best Pract Res Clin Anaesthesiol 2007; 21:271–89
Improved Redundancy Bounds for Exponential Objectives

We present new lower and upper bounds for the compression rate of binary prefix codes optimized over memoryless sources according to two related exponential codeword length objectives. The objectives explored here are exponential-average length and exponential-average redundancy. The first of these relates to various problems involving queueing, uncertainty, and lossless communications, and it can be reduced to the second, which has properties more amenable to analysis. These bounds, some of which are tight, are in terms of a form of entropy and/or the probability of an input symbol, improving on recently discovered bounds of similar form. We also observe properties of optimal codes over the exponential-average redundancy utility.
An adaptive real-time ECG compression algorithm with variable threshold

A real-time compression algorithm has been developed which is suitable for both real-time ECG (electrocardiogram) transmission and ECG data storing. The algorithm represents a modification of the amplitude zone time epoch coding (AZTEC) technique extended with several statistical parameters used to calculate the variable threshold. The proposed algorithm has been applied in the design of a pacemaker followup system for the online ECG data transmission from the pacemaker implanted in a human being to the computer system located at the clinic. <<ETX>>
Capacity and Delay Analysis of Next-Generation Passive Optical Networks (NG-PONs)

Building on the Ethernet Passive Optical Network (EPON) and Gigabit PON (GPON) standards, Next-Generation (NG) PONs (i) provide increased data rates, split ratios, wavelengths counts, and fiber lengths, as well as (ii) allow for all-optical integration of access and metro networks. In this paper we provide a comprehensive probabilistic analysis of the capacity (maximum mean packet throughput) and packet delay of subnetworks that can be used to form NG-PONs. Our analysis can cover a wide range of NG-PONs through taking the minimum capacity of the subnetworks forming the NG-PON and weighing the packet delays of the subnetworks. Our numerical and simulation results indicate that our analysis quite accurately characterizes the throughput-delay performance of EPON/GPON tree networks, including networks upgraded with higher data rates and wavelength counts. Our analysis also characterizes the trade-offs and bottlenecks when integrating EPON/GPON tree networks across a metro area with a ring, a Passive Star Coupler (PSC), or an Arrayed Waveguide Grating (AWG) for uniform and non-uniform traffic. To the best of our knowledge, the presented analysis is the first to consider multiple PONs interconnected via a metro network.
Unsupervised Change Detection in SAR Image using Graph Cuts

In this paper, we present an unsupervised change detection approach in temporal sets of SAR images. The change detection is represented as a task of energy minimization and the energy function is minimized using graph cuts. Neighboring pixels are taken into account in a priority sequence according to their distance from the center pixel, and the energy function is formed based on Markov Random Field (MRF) model. Graph cuts algorithm is employed for computing maximum a-posteriori (MAP) estimates of the MRF. Experiments results obtained on a SAR data set confirm the effectiveness of the proposed approach. The comparisons between graph cuts algorithm and iterated conditional modes (ICM) algorithm about the quality of change map and running time of energy minimization illustrate that graph cuts algorithm is a huge improvement over ICM.
Michael Pflüger Economic Integration , Wage Policies and Social Policies

This paper sets up a two country monopolistic competition model with intra-industry trade to study the effects of an exogenous differential in wage and social policies on the location of industry. Two model scenarios are considered. In the traditional one with physical capital, such a differential induces a relocation effect which increases with the level of trade integration. The ‘new economic geography’ world assumes mobile entrepreneurs which can relocate thus bringing agglomeration forces into play. The most significant difference between this world and the traditional one is that, at high levels of trade integration, where one country has emerged as the core and the other as the periphery, the core may have more generous social policies and higher wages than the periphery without inducing a relocation of firms. The scope to have higher wage is constrained, however, and related to the level of trade integration in a bell-shaped way. JEL-Classification: F12, F15, F16, F21, F22, R12
TRIP13 is a protein-remodeling AAA+ ATPase that catalyzes MAD2 conformation switching

The AAA+ family ATPase TRIP13 is a key regulator of meiotic recombination and the spindle assembly checkpoint, acting on signaling proteins of the conserved HORMA domain family. Here we present the structure of the Caenorhabditis elegans TRIP13 ortholog PCH-2, revealing a new family of AAA+ ATPase protein remodelers. PCH-2 possesses a substrate-recognition domain related to those of the protein remodelers NSF and p97, while its overall hexameric architecture and likely structural mechanism bear close similarities to the bacterial protein unfoldase ClpX. We find that TRIP13, aided by the adapter protein p31(comet), converts the HORMA-family spindle checkpoint protein MAD2 from a signaling-active ‘closed’ conformer to an inactive ‘open’ conformer. We propose that TRIP13 and p31(comet) collaborate to inactivate the spindle assembly checkpoint through MAD2 conformational conversion and disassembly of mitotic checkpoint complexes. A parallel HORMA protein disassembly activity likely underlies TRIP13's critical regulatory functions in meiotic chromosome structure and recombination. DOI: http://dx.doi. org/10.7554/eLife.07367. 001
Norovirus Recombination in ORF1/ORF2 Overlap

Norovirus (NoV) genogroups I and II (GI and GII) are now recognized as the predominant worldwide cause of outbreaks of acute gastroenteritis in humans. Three recombinant NoV GII isolates were identified and characterized, 2 of which are unrelated to any previously published recombinant NoV. Using data from the current study, published sequences, database searches, and molecular techniques, we identified 23 recombinant NoV GII and 1 recombinant NoV GI isolates. Analysis of the genetic relationships among the recombinant NoV GII isolates identified 9 independent recombinant sequences; the other 14 strains were close relatives. Two of the 9 independent recombinant NoV were closely related to other recombinants only in the polymerase region, and in a similar fashion 1 recombinant NoV was closely related to another only in the capsid region. Breakpoint analysis of recombinant NoV showed that recombination occurred in the open reading frame (ORF)1/ORF2 overlap. We provide evidence to support the theory of the role of subgenomic RNA promoters as recombination hotspots and describe a simple mechanism of how recombination might occur in NoV.
Temperature-Aware Leakage Minimization Technique for Real-Time Systems

In this paper, we study the interdependency between leakage energy and chip temperature in real-time systems. We observe that the temperature variation on chip has a large impact on the system's leakage energy. By incorporating the temperature information, we propose an online temperature-aware leakage minimization algorithm for real-time systems. The basic idea is to run tasks when the system is cool and the workload is high, and put the system into sleep when it is hot and the workload is light. This online algorithm has low run-time complexity and improve the leakage energy saving by 34% on average in both real life and artificial benchmarks over traditional DVS approaches. Finally, our algorithm can be combined with existing dynamic voltage scaling methods to further improve the total energy efficiency
Removing Artefacts From Color and Contrast Modifications

This work is concerned with the modification of the gray level or color distribution of digital images. A common drawback of classical methods aiming at such modifications is the revealing of artefacts or the attenuation of details and textures. In this work, we propose a generic filtering method enabling, given the original image and the radiometrically corrected one, to suppress artefacts while preserving details. The approach relies on the key observation that artefacts correspond to spatial irregularity of the so-called transportation map, defined as the difference between the original and the corrected image. The proposed method draws on the nonlocal Yaroslavsky filter to regularize the transportation map. The efficiency of the method is shown on various radiometric modifications: contrast equalization, midway histogram, color enhancement, and color transfer. A comparison with related approaches is also provided.
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control

Multi-version concurrency control (MVCC) is currently the most popular transaction management scheme in modern database management systems (DBMSs). Although MVCC was discovered in the late 1970s, it is used in almost every major relational DBMS released in the last decade. Maintaining multiple versions of data potentially increases parallelism without sacrificing serializability when processing transactions. But scaling MVCC in a multi-core and in-memory setting is non-trivial: when there are a large number of threads running in parallel, the synchronization overhead can outweigh the benefits of multi-versioning. To understand how MVCC perform when processing transactions in modern hardware settings, we conduct an extensive study of the scheme's four key design decisions: concurrency control protocol, version storage, garbage collection, and index management. We implemented state-of-the-art variants of all of these in an in-memory DBMS and evaluated them using OLTP workloads. Our analysis identifies the fundamental bottlenecks of each design choice.
Global Expression Profiling of Transcription Factor Genes Provides New Insights into Pathogenicity and Stress Responses in the Rice Blast Fungus

Because most efforts to understand the molecular mechanisms underpinning fungal pathogenicity have focused on studying the function and role of individual genes, relatively little is known about how transcriptional machineries globally regulate and coordinate the expression of a large group of genes involved in pathogenesis. Using quantitative real-time PCR, we analyzed the expression patterns of 206 transcription factor (TF) genes in the rice blast fungus Magnaporthe oryzae under 32 conditions, including multiple infection-related developmental stages and various abiotic stresses. The resulting data, which are publicly available via an online platform, provided new insights into how these TFs are regulated and potentially work together to control cellular responses to a diverse array of stimuli. High degrees of differential TF expression were observed under the conditions tested. More than 50% of the 206 TF genes were up-regulated during conidiation and/or in conidia. Mutations in ten conidiation-specific TF genes caused defects in conidiation. Expression patterns in planta were similar to those under oxidative stress conditions. Mutants of in planta inducible genes not only exhibited sensitive to oxidative stress but also failed to infect rice. These experimental validations clearly demonstrated the value of TF expression patterns in predicting the function of individual TF genes. The regulatory network of TF genes revealed by this study provides a solid foundation for elucidating how M. oryzae regulates its pathogenesis, development, and stress responses.
SOME DIFFICULTIES OF LEARNING HISTOGRAMS IN INTRODUCTORY STATISTICS

The findings reported in the article came from a study where we examined over 160 students’ final examination papers, which included questions specifically designed to investigate different levels of understanding about the construction and interpretation of histograms employed to demonstrate the concept of variability. The article describes the four main difficulties in constructing and interpreting histograms identified by the study. It also briefly discusses implications for research and provides suggestions for instructional remedies to help improve students’ ability to construct and interpret histograms.
Prognostic significance of p53 nuclear accumulation in localized prostate cancer treated with radical prostatectomy.

The role of p53 in the pathogenesis of, and as a predictive biomarker for, localized prostate cancer (PCa) is contested. Recent work has suggested that patterns of p53 nuclear accumulation determined by immunohistochemistry are prognostic, whereas studies using other methods question the role of p53 mutations in predicting outcome. We studied 263 men with localized PCa treated with radical prostatectomy to determine whether p53 nuclear accumulation predicts relapse and disease-specific mortality. We combined two p53 immunohistochemistry scoring systems: (a) percentage of p53-positive tumor nuclei in all major foci of cancer within the prostate; and (b) clustering, where the presence of 12 or more p53-positive cells within a x 200 power field was deemed "cluster positive. " Analysis was undertaken using chi2, Kruskal-Wallis, and Mann-Whitney tests for clinicopathological variables and the Kaplan-Meier method, log-rank test, and univariate and multivariate Cox regression modeling for evaluation of contribution to relapse and disease-specific survival. At mean follow-up of 55.1 months (range, 4.9-123.0 months), 39% (102 of 263) of patients had relapsed and 2.3% (6 of 253) had died of PCa. Pretreatment serum prostate-specific antigen concentration, pathological tumor stage, lymph node involvement, Gleason score, and p53 nuclear accumulation, as determined by either percentage score or cluster status, were independent predictors of relapse in multivariate analysis. Clustering of p53-positive cells distinguished between favorable and poor prognosis patients within the lowest p53-positive stratum (>0 to <2%) and was the most discriminatory threshold for predicting relapse in the entire cohort. p53 status predicted outcome in patients with a Gleason score of 5 and above but not those with a score of 4 and below. In patients treated with neoadjuvant hormonal therapy, p53 cluster positivity carried a 90% (19 of 21) risk of relapse by 36 months. All six patients who died from PCa in the period of the study exhibited p53 nuclear accumulation in 20% or more tumor nuclei. This study demonstrates strong relationships between p53 nuclear accumulation and relapse and disease-specific mortality in a large series of localized PCas. Furthermore, the presence of clusters of p53-positive nuclei delineates a group of patients with poor prognosis not identified by traditional scoring methods and supports the hypothesis that p53 dysfunction within PCa may exist in foci of tumor cells that are clonally expanded in metastases.
Modeling the Time-Course of Responses for the Border Ownership Selectivity Based on the Integration of Feedforward Signals and Visual Cortical Interactions

Border ownership (BO) indicates which side of a contour owns a border, and it plays a fundamental role in figure-ground segregation. The majority of neurons in V2 and V4 areas of monkeys exhibit BO selectivity. A physiological work reported that the responses of BO-selective cells show a rapid transition when a presented square is flipped along its classical receptive field (CRF) so that the opposite BO is presented, whereas the transition is significantly slower when a square with a clear BO is replaced by an ambiguous edge, e.g., when the square is enlarged greatly. The rapid transition seemed to reflect the influence of feedforward processing on BO selectivity. Herein, we investigated the role of feedforward signals and cortical interactions for time-courses in BO-selective cells by modeling a visual cortical network comprising V1, V2, and posterior parietal (PP) modules. In our computational model, the recurrent pathways among these modules gradually established the visual progress and the BO assignments. Feedforward inputs mainly determined the activities of these modules. Surrounding suppression/facilitation of early-level areas modulates the activities of V2 cells to provide BO signals. Weak feedback signals from the PP module enhanced the contrast gain extracted in V1, which underlies the attentional modulation of BO signals. Model simulations exhibited time-courses depending on the BO ambiguity, which were caused by the integration delay of V1 and V2 cells and the local inhibition therein given the difference in input stimulus. However, our model did not fully explain the characteristics of crucially slow transition: the responses of BO-selective physiological cells indicated the persistent activation several times longer than that of our model after the replacement with the ambiguous edge. Furthermore, the time-course of BO-selective model cells replicated the attentional modulation of response time in human psychophysical experiments. These attentional modulations for time-courses were induced by selective enhancement of early-level features due to interactions between V1 and PP. Our proposed model suggests fundamental roles of surrounding suppression/facilitation based on feedforward inputs as well as the interactions between early and parietal visual areas with respect to the ambiguity dependence of the neural dynamics in intermediate-level vision.
Consumer Choice and Merchant Acceptance of Payment Media

We study the ability of banks and merchants to influence the consumer's payment instrument choice. Consumers participate in payment card networks to insure themselves against three types of shocks| income, theft, and their merchant match. Merchants choose which payment instruments to accept based on their production costs and increased profit opportunities. Our key results can be summarized as follows. The structure of prices is determined by the level of the bank's cost to provide payment services including the level of aggregate credit loss, the probability of theft, and the timing of income flows. We also identify equilibria where the bank finds it profitable to offer one or both payment cards. Our model predicts that when merchants are restricted to charging a uniform price for goods that they sell, the bank benefits while consumers and merchants are worse off. Finally, we compare welfare-maximizing price structures to those that result from the bank's profit-maximizing price structure.
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

We study a variant of the variational autoencoder model (VAE) with a Gaussian mixture as a prior distribution, with the goal of performing unsupervised clustering through deep generative models. We observe that the known problem of over-regularisation that has been shown to arise in regular VAEs also manifests itself in our model and leads to cluster degeneracy. We show that a heuristic called minimum information constraint that has been shown to mitigate this effect in VAEs can also be applied to improve unsupervised clustering performance with our model. Furthermore we analyse the effect of this heuristic and provide an intuition of the various processes with the help of visualizations. Finally, we demonstrate the performance of our model on synthetic data, MNIST and SVHN, showing that the obtained clusters are distinct, interpretable and result in achieving competitive performance on unsupervised clustering to the state-of-the-art results.