Miracle-dz/UniFAR-FTUs huggingface dataset:
Quoi de neuf dans la description des allergènes de l'arachide et des fruits à coque ? New insights about the structure-function relationship of peanut and tree nut allergens

The three-dimensional structures available for peanut and tree nut allergens are derived primarily from homology modeling and, less often, from crystallographic or H-NMR studies. They belong to different groups of proteins, including: (1): legumin and vicilin proteins with a cupin motif (Ara h 1, Ara h 3/4, tree nut legumins and vicilins); (2): 2S albumins (Ara h 2, Ara h 6, Ara h 7, 2S albumins from tree nuts); (3): profilins (Ara h 5); (4): PR-10 proteins (Ara h 8); (5): lipid transfer proteins (LTP) (Ara h 9); and (6): lectins (Ara h agglutinin or peanut agglutinin [PNA]). They consist essentially of seed storage proteins occurring in protein bodies, which usually resist heat denaturation while resistance to digestive proteolysis is variable but often elevated. In addition, oleosins, which occur in seed oil bodies (oleosomes), have been recently characterized as major allergens. Most of the sequential IgE-binding epitopes (B epitopes) on the molecular surface of the major peanut allergens (Ara h 1, Ara h 2, Ara h 3) have been mapped. The existence of common epitopes is the basis for cross-reactions between peanut and tree nut, the clinical significance of which is not always evident. To date, however, very few data are available on the T-cell epitopes of peanut allergens, with the exception of the Tcell epitopes of Ara h 2 which have been characterized. These advances on the localization of the B and T-cell epitopes on the molecular surface of these allergens pave the way for the production of recombinant hypoallergenic proteins to be used in specific immunotherapy. # 2009 Elsevier Masson SAS. All rights reserved.
ANTI-ARRHYTHMIC TREATEMENT AND ELDERLY - WHERE ARE WE NOW?

Atrial fibrillation (AF), a common and serious cardiac rhythm disturbance, is responsible for substantial morbidity and mortality in the population. Currently about 2.3 million people in the US are diagnosed with AF and, based of the US census, this number is expected to rise to 5.6 million by 2050. It doubles in prevalence with each decade of age, reaching almost 9% at age 80-89 years. It has increased in prevalence over the calendar decades, reaching 'epidemic' proportions (1). The risk of stroke increases from 1.5% in patients with atrial fibrillation from 50-59 years of age to up to 23.5% for such patients aged 80-89 years (2, 3). Although the diagnosis of atrial fibrillation is usually straightforward, effective treatment is not. We aimed to discuss how rhythm control of atrial fibrillation can best be achieved in elderly patients, the controversy over the rhythm versus rate control, and prevention of thromboembolism.
Vitamin C and Turmeric Attenuate Bax and Bcl-2 Proteins’ Expressions and DNA Damage in Lead Acetate-Induced Liver Injury

Background: Lead is a common environmental and occupational pollutant which induced multiorgans dysfunction. The present study was designed to investigate the hepatoprotective effects of turmeric (TUR) and/or vitamin C (Vit-C) alone or together against lead acetate toxicity and to explore novel molecular pathways. Method: Acute hepatotoxicity was induced by lead acetate (100 mg/kg/day, i.p.) in male rats, and the effect of TUR (200 mg/kg/day, orally) and/or Vit-C (250 mg/kg/day, orally) along with lead acetate for 7 days was studied. Results: Lead acetate increased serum alanine transaminase, aspartate transaminase, lactate dehydrogenase, hepatic lipid peroxidation and nitric oxide; while, hepatic superoxide dismutase and glutathione activities were downregulated. Hepatic Bcl-2-associated X (Bax) and B-cell lymphoma-2 (Bcl-2) proteins expressions were altered and hepatic DNA damaged was increased as well. Liver/body weight ratio was decreased. Hematoxylin and eosin demonstrated that lead acetate induced focal areas of massive hepatic degeneration of the hepatocytes. Treatment with both antioxidants ameliorated all the altered parameters and induced marked improvement of liver architecture. Conclusion: The combination of TUR and Vit-C has shown the most protective effects against lead acetate-induced hepatotoxicity.
A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE

Internet topology describes the arrangement of nodes and their connecting links in the Internet. Discovering Internet topology is important for analyzing routing protocols, Internet robustness, and Internet resilience. Recent research results dealing with Internet topology, such as the discovery of power-laws and the application of spectral analysis to Internet topology data, have increased the need for more complete datasets and more rigorous interpretations. In this thesis, we examine two AS (Autonomous System) datasets: Route Views and RIPE. They are collected from BGP (Border Gateway Protocol) routing tables and have been extensively used by the research community. These two datasets are large compared to datasets previously employed in various research studies. Spectral approach (Laplacian analysis) enables a more in-depth analysis of data that typical approach employing adjacent matrix analysis cannot achieve. In this thesis, we create topology graphs from the two datasets, calculate the largest eigenvalues of the normalized Laplacian matrices of the graphs, and use the results to identify distinct cluster characteristics. These clusters characteristics could not be otherwise identified from the collected data. Geographic location of Autonomous Systems (ASs) may influence inter-domain routing policies and AS connectivity. Access-providers, the owners of ASs, may prefer that incoming traffic be localized to their specific geographic areas. Most participating ASs (ASs that contribute routing tables) in Route Views and RIPE are located in North America and Europe, respectively. In order to analyze geographically related AS routing
Potential EU -Mercosur Free Trade Agreement: Impact Assessment : Volume 1: Main results

This report presents the simulations made with two different models of two alternative hypothetical versions of a bilateral free trade agreement between the EU and Mercosur. The two versions of the agreement are based on the final negotiating positions of each party in the previous unresolved negotiating round. A global CGE model, GLOBE, simulates the economy-wide impacts of the trade policy changes involving all sectors of the two regional blocks. A global partial equilibrium model, CAPRI, simulates only the impacts generated by changes in agricultural trade policy and incurred by the agricultural sectors of the two regions. However, CAPRI considers individual agricultural products in more detail and can generate the territorial distribution of their production within the EU at the NUTS 2 regional level. The simulation results show that the economic losses and the adjustment pressures arising from a bilateral trade agreement between the EU and the countries of Mercosur would, as far as the EU is concerned, fall very heavily on the agricultural sector. The gains to other sectors would be widely diffused and, given the very small magnitude of these gains relative to the EU economy as a whole, would be easily absorbed without imposing an adjustment burden. The aggregate welfare changes for the EU, whether measured across the whole economy or on a partial basis with respect only to the activities agricultural production and food consumption, would be small. However, the trade-off involved in the redistribution of income between agriculture and the rest of the economy is steeper in the scenarios depicting the terms requested by Mercosur than in those involving the terms offered by the EU. The Mercosur request provokes a much greater downward impact on EU agriculture whereas the additional gains elsewhere (to non-agrifood sectors or to consumers in the EU) are relatively smaller.
A short history of educational reform in Finland

Finland, a democratic welfare state and the northernmost member of the European Union is an example of a nation that has been able to transform its traditional economy into a modern knowledge economy within relatively short period of time. Education has played important role in this process. This chapter argues that system-wide excellence in student learning is attainable at reasonable cost, using education policies differing from conventional marketoriented reform strategies prevalent in many other countries. Unlike many other education systems, test-based accountability and externally determined learning standards have not been part of Finnish education policies. Relying on data from international student assessments, indicators and earlier policy studies, this chapter describes how steady improvement in student learning has been attained through Finnish education policies based on equity, flexibility, creativity, teacher professionalism, and mutual trust. The conclusion is that educational reform in Finland has been built upon ideas of good leadership that place an emphasis on teaching and learning, encouraging schools to craft optimal learning environments and implement educational content that best helps their students reach the general goals of schooling, and professional leadership of schools. -------------------------------------------------------------------Pasi Sahlberg has worked since June 2007 as a Lead Education Specialist at the European Training Foundation, Torino, Italy. He was previously teacher, teacher educator, policy-maker and director in various positions in Finland before moving to work with World Bank in Washington, DC in 2003. He has global experience in education policy analysis, training teachers and leaders, coaching schools to change and advising education policy-makers. He received his Ph.D. in educational sciences in 1996 from the University of Jyväskylä, Finland. He has published books and writings on educational change, school improvement and learning in international journals and edited volumes. His recent publications include “Rethinking accountability in a knowledge society” (2009), “Creativity and innovation through lifelong learning” (2009), “Should ‘failing’ students repeat a grade? ” (2008), "Education policies for raising student learning: The Finnish approach" (2007) and "Education reform for raising economic competitiveness" (2006). He is also Adjunct Professor at the Universities of Helsinki and Oulu. He is a co-director of the International Association of Study for Cooperation in Education (IASCE), and an assistant editor of the Journal of Educational Change. He can be contacted through www.pasisahlberg. com.
Recent progress in supercapacitors based on the advanced carbon electrodes

Abstract This paper demonstrates a brief review of the research progress of the advanced carbon-based materials for the supercapacitor electrodes. Diverse types of carbon-based electrodes exploited and reported to the literature are summarized and classified into pure carbon electrodes, carbon/metal oxides composite electrodes, carbon/metal oxides/conducting polymers composite electrodes as well as carbon electrodes based on other materials. Pure carbon electrodes are firstly introduced, confirming their merits and shortcomings. To cover the shortage of pure carbon electrodes and further enhances their electrochemical performance, a composite electrode, combined with metal oxides and conducting polymers, is respectively presented. It is worth noticing in this article that combining various materials to form composites has been one main direction to own a positive synergistic effect on the carbon-based electrodes.
Night-time pedestrian detection via Neuromorphic approach

There have been many researches carried out in pedestrian detection field. However, many of the computer vision require high computation making it difficult to implement it electronically while keeping the cost low. Also most of these algorithms are very specific to its target of object and the condition at which it performs. Therefore, it is still difficult to find algorithm that performs well in both day and night time. In this paper, we have approached the pedestrian detection problem at varying luminance from a neuromorphic view. Successful implementation of neuromorphic neuron based on the programmable linear MOSFET conductance has allowed us to keep the computational load low. Also the robustness of the proposed pedestrian detection was confirmed when both pedestrians and cyclists were successfully detected by the system in day and night time conditions. The system showed accuracy rate of over 90% in both day and night time conditions Key-Words: Neuromorphic circuit, MOSFET, pedestrian detection, night-time, neural network
Miniature on-fiber extrinsic Fabry-Perot interferometric vibration sensors based on micro-cantilever beam

Abstract An on-fiber extrinsic Fabry–Perot interferometric (EFPI) vibration sensor based on micro-cantilever beam is proposed and experimentally demonstrated. The micro-cantilever beam, with a cantilever length of 80μm and a cantilever thickness of 5μm, is created perpendicular to the fiber axis by using the femtosecond laser micro-machining technique. The on-fiber vibration sensor has same diameter with that of the single mode fiber. An acceleration sensitivity of 11.1 mV/g@300 Hz in the range of 0.5-5g is demonstrated experimentally. This on-fiber and micro-cantilever beam design allows for the sensor to be smaller size and higher temperature resistance.
GlamMapping Trove

This paper presents the current state of development of GlamMap, a visualisation tool that displays library metadata on an interactive, computer-generated geographic map. The focus in the paper is on the most crucial improvement achieved in the development of the tool: GlamMapping Trove. The visualisation of Trove’s sixtymillion book records is possible thanks to an improved database structure, more efficient data retrieval, and more scalable visualisation algorithms. The paper analyses problems encountered in visualising massive datasets, describes remaining challenges for the tool, and presents a use case demonstrating GlamMap’s ability to serve researchers in the history of ideas.
On corrected phase-type approximations of the time value of ruin with heavy tails

Abstract We approximate Gerber–Shiu functions with heavy-tailed claims in a recently introduced risk model having both interclaim times and premiums depending on the claim sizes. We apply a technique known as “corrected phase-type approximations”. This results in adding a correction term to the Gerber–Shiu function with phase-type claim sizes. The correction term contains the heavy-tailed behavior at most once per convolution and captures the tail behavior of the true Gerber–Shiu function. We make the tail behavior specific in the classical case of one class of risk insured. After illustrating a use of such approximations, we study numerically the approximations’ relative errors for some specific penalty functions and claims distributions.
The Effect of Health Literacy on Medication Knowledge and Medication Discrepancy in Chinese Americans

Background. Functional health literacy (FHL) is increasingly recognized as a useful predictor of health outcomes in different populations. However, the effect of FHL on medication knowledge and medication discrepancy in Chinese Americans is not well defined. Objectives. To examine the effects of FHL on medication knowledge and medication discrepancy in Chinese American patients. Methods. This was a cross-sectional study conducted at an academic internal medicine clinic. The Short Test of Functional Health Literacy in Adults was used to assess participants’ FHL. Data for patients’ demographic information, medication knowledge, and medication discrepancy (direction discrepancy and name discrepancy) were collected through patient interviews and chart reviews. The primary outcome was medication knowledge of purpose and the secondary outcomes included medication direction discrepancy and medication name discrepancy. Results. Of the 158 Chinese American patients who participated in the study, 54% had adequate FHL. More participants with adequate FHL had correct medication knowledge compared to participants with inadequate FHL (87% vs 56%, respectively, odds ratio = 3.4, 95% confidence interval = 1.2-9.7). Fewer participants with adequate FHL had medication direction discrepancy compared to those with inadequate FHL (42% vs 62%, odds ratio = 0.18, 95% confidence interval = 0.06-0.55). Both adequate and inadequate FHL groups had high prevalence of medication name discrepancy (77% vs 89%) even though the between-group difference was insignificant. Conclusions. Adequate FHL among Chinese American patients is significantly associated with increased medication knowledge of purpose and decreased medication direction discrepancy. Both adequate and inadequate FHL groups had high prevalence of medication name discrepancy.
Computer modelling of initial platelet adhesion during microvascular thrombosis

Abstract Hemostasis is one of the most important protective mechanisms that functions to maintain vascular integrity and prevent bleeding. In arterial and microvascular circulation, where the near-wall shear stress is relatively high, the hemostatic response begins with aggregation of platelets on the injured endothelium or collagen. Regulation of hemostasis and thrombosis is immensely complex, as it depends on the blood cell adhesion and fluid dynamics. A possible regulatory mechanism relies on the coil-stretch transitions in a plasma protein — von Willebrand factor — that serves as a ligand to platelet adhesive membrane receptors. In this work, the initial stages of thrombus growth are studied using a 3D computer model that explicitly accounts for the shear-dependent vWf conformation.
Usage of Logistics Technologies in Slovak Enterprises

Abstract To survive in a competitive environment, enterprises need to improve their business processes, prosper, make changes and be open to new opportunities. One way to make a business more competitive is to use logistics technologies. By applying and using logistics technologies, the enterprise manages to improve the quality of products, processes and applies a harmonious course of business activities. The main aim of the paper is to introduce selected logistics technologies based on the knowledge base, which consisted of studying domestic and foreign literature and through the survey to find out their application and usage in the Slovak enterprises. In processing and comparing in the theoretical part of the paper, a literature search, analysis and synthesis, induction and deduction, comparison and scientific abstraction are used. In Results, sorting method, elimination method and graphical method are used. The object of the research, which was carried out by a questionnaire survey, were small, medium-sized and large enterprises operating in the Slovak Republic. From selected logistics technologies, respondents use Just in Time more than Kanban. Their use is mainly in large and medium-sized enterprises of a production nature.
Optimal Price-Based Power Allocation Algorithm with Quality of Service Constraints in Non-Orthogonal Multiple Access Networks

SUMMARY In this letter, we investigate the price-based power allocation for non-orthogonal multiple access (NOMA) networks, where the base station (BS) can admit the users to transmit by pricing their power. Stackelberg game is utilized to model the pricing and power purchasing strategies between the BS and the users. Based on backward induction, the pricing problem of the BS is recast into the non-convex power allocation problem, which is equivalent to the rate allocation problem by variable replacement. Based on the equivalence problem, an optimal price-based power allocation algorithm is proposed to maximize the revenue of the BS. Simulation results show that the proposed algorithm is superior to the existing pricing algorithm in items of the revenue of BS and the number of admitted users.
Tribological Performance of 3D Braided Glass Fibers Reinforced Light-curing Dimethacrylate Resin Composites

3D braided glass fiber reinforced visible-light-cured resin composites (denoted as G3D/EEPE) were prepared by impregnation plus light-cured technique, and their tribological properties were studied in this work. It was found that the coefficient of friction and the specific wear rate of the G3D/EEPE composites decreased with increasing Vf. Beyond a Vf of 32%, however, a slight increase in the specific wear rate of the G3D/EEPE composites was found. The decreased friction coefficient and increased specific wear rate were observed in the G3D/EEPE composites with increasing normal load regardless of velocity. The silane coupling treatment effectively improved the wear resistance of the G3D/EEPE composites. Though the G3D/EEPE composites showed lower friction coefficient and specific wear rate at lubricated condition than at dry contact, the similar adhesive wear mechanism was observed under two conditions.
MCPA: Program Analysis as Machine Learning

Static program analysis today takes an analytical approach which is quite suitable for a well-scoped system. Data- and control-flow is taken into account. Special cases such as pointers, procedures, and undefined behavior must be handled. A program is analyzed precisely on the statement level. However, the analytical approach is ill-equiped to handle implementations of complex, large-scale, heterogeneous software systems we see in the real world. Existing static analysis techniques that scale, trade correctness (i.e., soundness or completeness) for scalability and build on strong assumptions (e.g., language-specificity). Scalable static analysis are well-known to report errors that do *not* exist (false positives) or fail to report errors that *do* exist (false negatives). Then, how do we know the degree to which the analysis outcome is correct? In this paper, we propose an approach to scale-oblivious greybox program analysis with bounded error which applies efficient approximation schemes (FPRAS) from the foundations of machine learning: PAC learnability. Given two parameters $\delta$ and $\epsilon$, with probability at least $(1-\delta)$, our Monte Carlo Program Analysis (MCPA) approach produces an outcome that has an average error at most $\epsilon$. The parameters $\delta>0$ and $\epsilon>0$ can be chosen arbitrarily close to zero (0) such that the program analysis outcome is said to be probably-approximately correct (PAC). We demonstrate the pertinent concepts of MCPA using three applications: $(\epsilon,\delta)$-approximate quantitative analysis, $(\epsilon,\delta)$-approximate software verification, and $(\epsilon,\delta)$-approximate patch verification.