Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Influencing In-Hospital Delay in Treatment With Intravenous Thrombolysis

Background and Purpose— Shortening door-to-needle time (DNT) for the thrombolytic treatment of stroke can improve treatment efficacy by reducing onset-to-treatment time. The goal of our study was to explore the association between DNT and outcome and to identify factors influencing DNT to better understand why some patients are treated late. Methods— Prospectively collected data from the Safe Implementation of Treatments in Stroke-East registry (SITS-EAST: 9 central and eastern European countries) on all patients treated with thrombolysis between February 2003 and February 2010 were analyzed. Multiple logistic regression analysis was used to identify predictors of DNT ⩽60 minutes. Results— Altogether, 5563 patients were treated with thrombolysis within 4.5 hours of symptom onset. Of these, 2097 (38%) had DNT ⩽60 minutes. In different centers, the proportion of patients treated with DNT ⩽60 minutes ranged from 18% to 84% (P<0.0001). Patients with longer DNT (in 60-minute increments) had less chance of achieving a modified Rankin Scale score of 0 to 1 at 3 months (adjusted OR, 0.86; 95% CI, 0.77–0.97). DNT ⩽60 minutes was independently predicted by younger age (in 10-year increments; OR, 0.92; 95% CI, 0.87–0.97), National Institutes of Health Stroke Scale score 7 to 24 (OR, 1.44; 95% CI, 1.2–1.7), onset-to-door time (in 10-minute increments; OR, 1.19; 95% CI, 1.17–1.22), treatment center (P<0.001), and country (P<0.001). Conclusions— Thrombolysis of patients with older age and mild or severe neurological deficit is delayed. The perception that there is sufficient time before the end of the thrombolytic window also delays treatment. It is necessary to improve adherence to guidelines and to treat patients sooner after arrival to hospital.
Interactions between Stimulus-Specific Adaptation and Visual Auditory Integration in the Forebrain of the Barn Owl

Neural adaptation and visual auditory integration are two well studied and common phenomena in the brain, yet little is known about the interaction between them. In the present study, we investigated a visual forebrain area in barn owls, the entopallium (E), which has been shown recently to encompass auditory responses as well. Responses of neurons to sequences of visual, auditory, and bimodal (visual and auditory together) events were analyzed. Sequences comprised two stimuli, one with a low probability of occurrence and the other with a high probability. Neurons in the E tended to respond more strongly to low probability visual stimuli than to high probability stimuli. Such a phenomenon is known as stimulus-specific adaptation (SSA) and is considered to be a neural correlate of change detection. Responses to the corresponding auditory sequences did not reveal an equivalent tendency. Interestingly, however, SSA to bimodal events was stronger than to visual events alone. This enhancement was apparent when the visual and auditory stimuli were presented from matching locations in space (congruent) but not when the bimodal stimuli were spatially incongruent. These findings suggest that the ongoing task of detecting unexpected events can benefit from the integration of visual and auditory information.
Different Associations of Diabetes With b-Cell Dysfunction and Insulin Resistance Among Obese and Nonobese Chinese Women With Prior Gestational Diabetes

We performed a cross-sectional survey 1–5 years after 1,263 women who had GDM gave birth. Polytomous logistic regression models were used to assess the associations of b-cell dysfunction (the lower quartile of HOMA [%b]), insulin resistance (the upper quartile of HOMA-insulin resistance), decreased insulin sensitivity (the lower quartile of HOMA [%S]), and different categories of BMI with prediabetes and diabetes risk.
A novel hyperspectral imaging and modeling method for the component identification of woven fabrics

The component identification of textile materials is critical for quality control and measurement in the textile field. A novel hyperspectral imaging method and the related identification model are proposed to classify single-component textiles. Firstly, the hyperspectral data of the single-component fabrics were processed to conduct dimensionality reduction based on locally linear embedding (LLE), principal component analysis (PCA), and locally preserving projection (LPP) algorithms. Moreover, the original data of 288 wavelengths from 920 nm to 2500 nm were compressed to keep the typical wavelength regions. After that, these data were imported into two classifiers (decision tree classifier and K nearest neighbor (KNN) classifier) for training, and an identification model based on these training data was developed for the sample classification. The experimental results showed that all the samples could be identified correctly by the established identification model. The recognition rate and the stability of the classifier based on LPP model and KNN classification algorithm were proved to have the highest accuracy in our research.
Complexity reduction for parameter-dependent linear systems

We present a complexity reduction algorithm for a family of parameter-dependent linear systems when the system parameters belong to a compact semi-algebraic set. This algorithm potentially describes the underlying dynamical system with fewer parameters or state variables. To do so, it minimizes the distance (i.e., H∞-norm of the difference) between the original system and its reduced version. We present a sub-optimal solution to this problem using sum-of-squares optimization methods. We present the results for both continuous-time and discrete-time systems. Lastly, we illustrate the applicability of our proposed algorithm on numerical examples.
A plant-specific HUA2-LIKE (HULK) gene family in Arabidopsis thaliana is essential for development

In Arabidopsis thaliana, the HUA2 gene is required for proper expression of FLOWERING LOCUS C (FLC) and AGAMOUS, key regulators of flowering time and reproductive development, respectively. Although HUA2 is broadly expressed, plants lacking HUA2 function have only moderately reduced plant stature, leaf initiation rate and flowering time. To better understand HUA2 activity, and to test whether redundancy with similar genes underlies the absence of strong phenotypes in HUA2 mutant plants, we identified and subsequently characterized three additional HUA2-LIKE (HULK) genes in Arabidopsis. These genes form two clades (HUA2/HULK1 and HULK2/HULK3), with members broadly conserved in both vascular and non-vascular plants, but not present outside the plant kingdom. Plants with progressively reduced HULK activity had increasingly severe developmental defects, and plants homozygous for loss-of-function mutations in all four HULK genes were not recovered. Multiple mutants displayed reproductive, embryonic and post-embryonic abnormalities, and provide detailed insights into the overlapping and unique functions of individual HULK genes. With regard to flowering time, opposing influences were apparent: hua2 hulk1 plants were early-flowering, while hulk2 hulk3 mutants were late-flowering, and hua2 acted epistatically to cause early flowering in all combinations. Genome-wide expression profiling of mutant combinations using RNA-Seq revealed complex transcriptional changes in seedlings, with FLC, a known target of HUA2, among the most affected. Our studies, which include characterization of HULK expression patterns and subcellular localization, suggest that the HULK genes encode conserved nuclear factors with partially redundant but essential functions associated with diverse genetic pathways in plants.
Integral Manifolds and Inertial Manifolds for Dissipative Partial Differential Equations (P. Constantin, C. Foias, B. Nicolaenko, and R. Temam)

This monograph is an important reference for the theory of inertial manifolds for dissipative partial differential equations. The theory of inertial manifolds (finite-dimensional, positive invariant, Lipschitz manifolds which attract all the trajectories exponentially) enables us to reduce the dynamics of a partial differential equation to that of an ordinary differential equation; that is, it reduces a complex system to a simpler one. This book contains a new, explicit, geometric construction of inertial manifolds from Cauchy integral manifolds with data given on some simple initial finite-dimensional surfaces. This construction is well suited for practical numerical approximation, since it avoids any instabilities resulting from backward-time integration and fixed-point algorithm. To show the generality and flexibility oftheir method, the authors give some specific examples of the construction of inertial manifolds. They include the Kuramoto-Sivashinsky equation, a nonlocal Burgers equation, the Cahn-Hillard equation, a parabolic equation in two space variables, and the Chaffee-Infante reaction-diffusion equation. This book is written at the level ofgraduate students and is self-contained. For anyone interested in the long-time behavior of partial differential equations, this beautiful and important work is highly valuable. Because ofthe gap conditions needed in the construction ofinertial manifolds, the existence of inertial manifolds is still open for some important equations, including the two-dimensional Navier-Stokes equations. There are some misprints in the book, but these are quite obvious.
A Systematic Approach to Explain the Delayed Deployment of Mobile Payments in Switzerland

Despite the predicted success of mobile payments, the market remains immature in most countries. This can be explained by a number of technical and business issues. Mobile technology environments are becoming more complex, uncertain, and disruptive. As such, the strategic assessment of technologies remains a challenging activity. In this paper we present a systematic approach to analyze the mobile payment industry. To decompose the problem we identified two potential disruptions which could occur in this market. As we cover both the technological and the organizational aspects, we provide a more complete picture of the status of mobile payments in Switzerland. Moreover, this approach intends to unveil the factors delaying the deployment of mobile payments in Switzerland.
30 Years of Multidimensional Multivariate Visualization

We present a survey of multidimensional multivariate (mdmv) visualization techniques developed during the last three decades. This subfield of scientific visualization deals with the analysis of data with multiple parameters or factors, and the key relationships among them. The course of development is roughly organized into four stages, within which major milestones are discussed. Recently developed techniques are explored with examples.
Assortative sociality, limited dispersal, infectious disease and the genesis of the global pattern of religion diversity

Why are religions far more numerous in the tropics compared with the temperate areas? We propose, as an answer, that more religions have emerged and are maintained in the tropics because, through localized coevolutionary races with hosts, infectious diseases select for three anticontagion behaviours: in-group assortative sociality; out-group avoidance; and limited dispersal. These behaviours, in turn, create intergroup boundaries that effectively fractionate, isolate and diversify an original culture leading to the genesis of two or more groups from one. Religion is one aspect of a group's culture that undergoes this process. If this argument is correct then, across the globe, religion diversity should correlate positively with infectious disease diversity, reflecting an evolutionary history of antagonistic coevolution between parasites and hosts and subsequent religion genesis. We present evidence that supports this model: for a global sample of traditional societies, societal range size is reduced in areas with more pathogens compared with areas with few pathogens, and in contemporary countries religion diversity is positively related to two measures of parasite stress.
Recovery of function following hip resurfacing arthroplasty: a randomized controlled trial comparing an accelerated versus standard physiotherapy rehabilitation programme

Objective: To identify if a tailored rehabilitation programme is more effective than standard practice at improving function in patients undergoing metal-on-metal hip resurfacing arthroplasty. Design: Randomized controlled trial. Setting: Specialist orthopaedic hospital. Subjects: 80 men with a median age of 56 years. Interventions: Tailored post-operative physiotherapy programme compared with standard physiotherapy. Main Outcomes: Primary outcome – Oxford Hip Score (OHS), Secondary outcomes: Hip disability and Osteoarthritis Outcome Score (HOOS), EuroQol (EQ-5D-3L) and UCLA activity score. Hip range of motion, hip muscle strength and patient selected goals were also assessed. Results: At one year the mean (SD) Oxford Hip Score of the intervention group was higher, 45.1 (5.3), than the control group, 39.6 (8.8). This was supported by a linear regression model, which detected a 5.8 unit change in Oxford Hip Score (p < 0.001), effect size 0.76. There was a statistically significant increase in Hip disability and Osteoarthritis Outcome Score of 12.4% (p < 0.0005), effect size 0.76; UCLA activity score differed by 0.66 points (p < 0.019), effect size 0.43; EQ 5D showed an improvement of 0.85 (p < 0.0005), effect size 0.76. A total of 80% (32 of 40) of the intervention group fully met their self-selected goal compared with 55% (22 of 40) of the control group. Hip range of motion increased significantly; hip flexion by a mean difference 17.9 degrees (p < 0.0005), hip extension by 5.7 degrees (p < 0.004) and abduction by 4 degrees (p < 0.05). Muscle strength improved more in the intervention group but was not statistically significant. Conclusions: A tailored physiotherapy programme improved self-reported functional outcomes and hip range of motion in patients undergoing hip resurfacing.
Discovery of a Gravitationally Lensed Quasar from the Sloan Digital Sky Survey: SDSS J133222.62+034739.9

We report the discovery of the two-image gravitationally lensed quasar SDSS J133222.62+034739.9 (SDSS J1332+0347) with an image separation of Δθ = 1.14″. This system consists of a source quasar at zs = 1.445 and a lens galaxy at zl = 0.191. The agreement of the luminosity, ellipticity, and position angle of the lens galaxy with those expected from a lens model confirms the lensing hypothesis.
Network analysis of inter-organizational success factor relationships

One of the best ways to deal with the problem of knowledge distillation in unstructured text is applying text mining. This machine learning-based approach can provide extracted useful information from large body of texts, in a reasonable time. However, the results are usually in complicated forms, which meant it is a non-trivial task in term of interpretation. In this paper, we present appropriate visualizations and analyses in order to tackle the tangled network representing relationship between entities (i.e. terms extracted from raw text). Conducted on a case study of information extraction in the business management domain, our results reveal the hidden relationships of inter-organizational success factors in a simple structured way. These results can assist companies to understand and generate business strategies, in terms of the collaboration aspect.
The role of endothelial nitric oxide synthase gene G894T and intron 4 VNTR polymorphisms in hemodialysis patients with vascular access thrombosis.

OBJECTIVE Endothelial nitric oxide synthase (eNOS) gene is a candidate gene in cardiovascular and renal diseases. Several polymorphic variations have been identified in eNOS gene. We investigated a potential role of arteriovenous fistula (AVF) thrombosis and intron 4 and G894T polymorphisms in chronic renal failure. METHODS We performed a case-control observational study involving 79 with/without AVF thrombosis in chronic renal failure patients. All subjects were genotyped by the polymerase chain reaction (PCR) and PCR-Restriction Fragment Length Polymorphism. Genotype distribution and allele frequencies were compared between groups using the chi-square test. RESULTS Genotype frequencies in patients with thrombosis were not significantly different from those of patients without thrombosis for eNOS G894T polymorphism (p=0.1). eNOS gene intron 4 a allele distributions seems to be associated with thrombosis in the groups. CONCLUSION This study revealed that there was an association between eNOS intron 4 polymorphism and thrombosis in chronic renal failure patients. This data will be helpful in planning further eNOS association studies in vascular access thrombosis.
A Phase I trial of fixed dose rate gemcitabine and capecitabine in metastatic renal cell carcinoma

Metastatic renal cell carcinoma (RCC) has modest response rates to chemotherapy with gemcitabine and 5‐fluorouracil (5‐FU). Fixed dose rate gemcitabine infusion leads to enhanced intracellular accumulation of drug and possible augmented clinical effect. To determine the toxicity of this combination therapy in metastatic RCC, a Phase I trial was conducted.
2 Links Between the PI 3 K Pathway and Cancer

The involvement of the PIK3CA gene product p110a, the catalytic subunit of phosphatidylinositol 3-kinase (PI3K), in human cancer has been suggested for over 15 years, and support for this proposal had been provided by both genetic and functional studies, including most recently the discovery of common activating missense mutations of PIK3CA in a wide variety of common human tumor types. This chapter will focus on the discovery of these mutations and describes their relevance to a wide range of common human tumor types. Of note, the identification and functional analysis of the PIK3CA gene are reviewed in other chapters in this book. However, a brief mention will be made here of its general properties as background to our focus on the discovery of its cancer-specific mutations.
Simple silicone chamber system for in vitro three-dimensional skeletal muscle tissue formation

Bioengineering skeletal muscle often requires customized equipment and intricate casting techniques. One of the major hurdles when initially trying to establish in vitro tissue engineered muscle constructs is the lack of consistency across published methodology. Although this diversity allows for specialization according to specific research goals, lack of standardization hampers comparative efforts. Differences in cell type, number and density, variability in matrix and scaffold usage as well as inconsistency in the distance between and type of adhesion posts complicates initial establishment of the technique with confidence. We describe an inexpensive, but readily adaptable silicone chamber system for the generation of skeletal muscle constructs that can readily be standardized and used to elucidate myoblast behavior in a three-dimensional space. Muscle generation, regeneration and adaptation can also be investigated in this model, which is more advanced than differentiated myotubes.
Comparison of real‐time fluorescent RT‐PCR and conventional RT‐PCR for the detection of hepatitis E virus genotypes prevalent in China

To compare the specificity and sensitivity of a real‐time fluorescent RT‐PCR assay with conventional RT‐PCR, sera from 110 healthy blood donors, 120 patients with a clinical diagnosis of chronic hepatitis B, and 416 patients with non‐A‐C acute hepatitis, as well as serial dilutions of HEV genotypes 1 and 4, were tested with both assays. All samples from healthy blood donors and patients with chronic hepatitis B were negative by both assays. Real‐time RT‐PCR could detect the same final dilution of genotype 1 as conventional RT‐PCR but could detect a 10‐fold lower concentration of genotype 4 than conventional RT‐PCR. Of 416 samples from patients with a clinical diagnosis of non‐A‐C acute hepatitis, 127 (30.5%) and 83 (20.0%) were positive for HEV by real‐time and conventional RT‐PCR, respectively. The concordance of real‐time and conventional RT‐PCR was 80.8%. Furthermore, 96 and 57 of 171 samples were positive for anti‐HEV IgM by real‐time and conventional RT‐PCR, respectively, and 31 and 26 of 245 samples negative for anti‐HEV IgM, were positive by real‐time and conventional RT‐PCR, respectively. All amplicons positive by conventional RT‐PCR were sequenced. Of 83 isolates, 7 and 76 belonged to genotypes 1 and 4, respectively. Thus, both assays have a high specificity, but the real‐time RT‐PCR assay is more sensitive than conventional RT‐PCR. Furthermore, HEV genotype 4 is responsible for most sporadic cases of hepatitis E in the north of China. J. Med. Virol. 79:1966–1973, 2007. © 2007 Wiley‐Liss, Inc.
A Novel Point of Care Diagnostic Device: Impedimetric Detection of a Biomarker in Whole Blood

There is an unmet medical need for a more reliable and earlier assessment of patients suspected of having a deep vein thrombosis. We describe a novel approach which is developing a highly reliable, accurate, portable and handheld prototype medical diagnostic device to improve radically the speed, accuracy and reliability with which DVT and related blood clotting conditions can be assessed. The device will measure whole blood concentration of D-dimer, a recognized biomarker of increased blood clotting activity, and through innovation in the development of a novel detection, measurement and reporting system, will offer the opportunity to use the test in the point of care setting. The device combines innovation in antibody bio-engineering for high specificity immunoassay-based diagnostics and nano/micro engineered impedimetric analysis electrodes incorporating a biocompatible polymer substrate with development of a disposable microfluidic manifold specifically enabling diagnostics at the point-of-first-contact.
On-Line Sensor Fault Detection Based on Majority Voting in Wireless Sensor Networks

Wireless sensor networks (WSN) are composed of a large number of sensor nodes and usually used to monitor a region of interest. The sensor nodes are very prone to damage due to low-cost design and random deployment. Additionally, faulty nodes may degrade the performance of the distributed hypothesis testing. This work addresses fault isolation in WSN where the fusion center attempts to identify faulty nodes through temporal sequences of received local decisions. Owing to the computing capability constraint in WSN, the primary goal of this investigation is to design a low-complexity sensor fault detection scheme, which can detect most sensor faults by using the majority voting technique. The simulation results show the proposed approach is effective in terms of identifying faulty members in a network.
Study on Influence Diffusion in Social Network

As the growth of online social network mining, more and more researchers focus on the diffusion effect in social network. Most of these studies concentrate on identifying the key nodes, detecting potential groups and the predicting the users' behaviors, but they seldom consider the impact of time. In fact, like the prime time in TV network, the influence power of time is an important factor to determine the diffusion effect in social network. For selecting the appropriate time to spread message, not only the number of online users, but the structure of relationship and attributes of users need to be taken into account. In this study, we define three types of users according to their profiles, and propose an approach to extract the influence power patterns of time, so we can predict the proper time to announce information from historical data.