Miracle-dz/UniFAR-FTUs huggingface dataset:
•Signalling in muscle growth, homeostasis and diseases •Satellite cells and muscle regeneration in healthy muscle and in diseases •Genetic and epigenetic alterations in muscle dystrophies and myopathies •Biophysics and E-C coupling in the physiopathology of neuromuscular diseases

s of the XIII IIM Myology Meeting October 13–16, 2016 Eur J Transl Myol 2017;27(1):4-32 This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (CC BY-NC 4.0) which permits any noncommercial use, distribution, and reproduction in any medium,provided the original author(s) and source are credited.
Characteristics, distribution and persistence of thin layers over a 48 hour period

The biological and physical processes contributing to planktonic thin layer dynamics were examined in a multidisciplinary study conducted in East Sound, Washington, USA between June 10 and June 25, 1998. The temporal and spatial scales characteristic of thin layers were determined using a nested sampling strategy utilizing 4 major types of platforms: (1) an array of 3 moored acoustical instrument packages and 2 moored optical instrument packages that recorded distributions and inten- sities of thin layers; (2) additional stationary instrumentation deployed outside the array comprised of meteorological stations, wave-tide gauges, and thermistor chains; (3) a research vessel anchored 150 m outside the western edge of the array; (4) 2 mobile vessels performing basin-wide surveys to define the spatial extent of thin layers and the physical hydrography of the Sound. We observed numerous occur- rences of thin layers that contained locally enhanced concentrations of material; many of the layers per- sisted for intervals of several hours to a few days. More than one persistent thin layer may be present at any one time, and these spatially distinct thin layers often contain distinct plankton assemblages. The results suggest that the species or populations comprising each distinct thin layer have responded to different sets of biological and/or physical processes. The existence and persistence of planktonic thin layers generates extensive biological heterogeneity in the water column and may be important in maintaining species diversity and overall community structure.
PORTFOLIO SELECTION IN THE ENLARGED MARKOVIAN

We study a portfolio selection problem in a continuous-time Markovian regimeswitching model. The market in this model is, in general, incomplete. We adopt a method to complete the market based on an enlargement of the market using a set of geometric Markovian jump securities. We solve the portfolio selection problem in the enlarged market for a power utility and a logarithmic utility. Closed-form solutions for the optimal portfolio strategies and the value functions are obtained in both cases. We also establish the relationship between the optimal portfolio problems in the enlarged market and the original market.
Valoración del L.C.R. en el período neonatal

Existen dos grandes grupos de recién nacidos en los cuales está indicada la obtención de una muestra de L.C. R. El primero lo constituyen aquellos niños con alto riesgo de infección bacteriana por sus antecedentes perinatales o que presentan un cuadro clínico compatible con un proceso séptico. La práctica sistemática de cultivos antes del inicio de tratamiento antibiótico incluye, sin excepción, el cultivo y el examen bioquímico y citológico del L.C. R. , dado el alto porcentaje de participación meníngea en estos casos (1).
Nanoparticles Functionalized with Ligands of Cell Surface Nucleolin for Cancer Therapy and Diagnosis

Conventional cancer chemotherapies are often limited by their non-targeted nature and their inadequate delivery to the tumor affecting the normal tissues and leading to toxic adverse effects. In order to improve the anticancer efficacy and safety of these drugs, as well as the diagnosis capacity of imaging agents, nanoparticles drug delivery system has been developed combining ligands enabling tumor targeting at a cellular level and drug carrier capacity. Nucleolin (NCL) is a multifunctional protein that could shuttle from nucleolus to nucleoplasm, cytoplasm and cell surface. This ribonucleo protein over expressed at the cell surface of cancer cells is involved in many cancer processes supporting tumorigenesis such as cell proliferation and apoptosis. Additionally, NCL expression is enhanced in angiogenic vessels, enabling multi-targeting strategies toward the tumor microenvironment. In this context, several compounds targeting NCL, such as the aptamer AS1411, the peptide F3 and the multivalent pseudopeptide N6L, have been developed and investigated for cancer therapy. Due to their cancer cell targeting capacities, these compounds have been evaluated to mediate highly specific and effective nanoparticles for drug delivery to the tumor. In this report, we present a review of literature focusing on drug-loaded nanoparticles conjugated with these nucleolin ligands, strikingly emphasizing the success of such a strategy.
Micronutrients Supplementation during Preconception Period Improves Fetal Survival and Cord Blood Insulin-Like Growth Factor 1

The objective of this study was to evaluate the efficacy of multi-micronutrients (MMN)supplementation during preconception period on improving fetal survival and concentration of umbilical cord Insulin-like Growth Factor 1 (IGF-1). A randomized double blind community based trial had been conducted. Study subjects were randomly assigned into two groups (n = 210 in each group), namely multi-micronutrient group (MMN group) and placebo-iron folic acid group (Placebo-IFA group). The MMN group received capsule of multi-micronutrients containing 15 micronutrients every 2 days during preconception period (2-6 months before pregnancy) and to be continued with daily dose during pregnancy. Placebo-IFA group received placebo capsule every 2 days during preconception period (2-6 months before pregnancy) and to be continued with daily dose of iron and folic acid during pregnancy. Four hundred twenty eligible subjects were enrolled to meet approximately 115 babies born. The outcome variables were fetal survival and concentration of serum umbilical cord IGF-1. Data were analyzed using independent t-test to compare mean difference between MMN group and Placebo-IFA group and chi-square was used for dichotomous data to analyzed odd ratio. Results demonstrated significant difference of fetal survival (gestation age >37 weeks) between MMN group and Placebo-IFA group (p = 0.003). Fetuses in MMN group were more likely to survive than those in Placebo-IFA group (OR = 6,099; 95% CI: 0.934-39.847). Despite IGF-1 concentration of umbilical cord of neonates in MMN group was higher (23.6±16.2 ng mLG1 ) compare to those in Placebo-IFA group (15.8±17.3 ng mLG1 ) but it was not different significantly (p = 0.070). Furthermore, IGF-1 concentration of umbilical cord of male neonates (18.3±12.2 ng mLG1) was lower than that of female neonates (21.5±19.9 ng mLG1). These findings imply that MMN supplementation prior to pregnancy is very important to support intrauterine environment in early pregnancy for successful complete gestation period.
Effect of Plasmodium falciparum Parasitemia on Erythrocyte Zinc Protoporphyrin To the Editor: In regions holoendemic for malaria, both iron deficiency and asymptom-

References 1. Cryer PE, Haymond MW, Santiago JV, Shah SD. Norepinephrine and epinephrine release and adrenergic mediation of smoking-associated hemodynamic and metabolic events. N Engl J Med 1976;295:573–7. 2. Filozof C, Fernandez Pinilla MC, Fernandez-Cruz A. Smoking cessation and weight gain. Obes Rev 2004;5:95–103. 3. Kojima M, Hosoda H, Date Y, Nakazato M, Matsuo H, Kangawa K. Ghrelin is a growthhormone-releasing acylated peptide from stomach. Nature 1999;402:656–60. 4. Fagerberg B, Hulten LM, Hulthe J. Plasma ghrelin, body fat, insulin resistance, and smoking in clinically healthy men: the atherosclerosis and insulin resistance study. Metabolism 2003;52:1460–3. 5. Langenberg C, Bergstrom J, Laughlin GA, Barrett-Connor E. Ghrelin and the metabolic syndrome in older adults. J Clin Endocrinol Metab 2005;90:6448–53. 6. Endoh K, Leung FW. Effects of smoking and nicotine on the gastric mucosa: a review of clinical and experimental evidence. Gastroenterology 1994;107:864–78. 7. Calissendorff J, Danielsson O, Brismar K, Rojdmark S. Inhibitory effect of alcohol on ghrelin secretion in normal man. Eur J Endocrinol 2005;152:743–7. 8. Cummings DE, Weigle DS, Frayo RS, Breen PA, Ma MK, Dellinger EP, et al. Plasma ghrelin levels after diet-induced weight loss or gastric bypass surgery. N Engl J Med 2002;346:1623– 30. 9. Wilkins JN, Carlson HE, Van Vunakis H, Hill MA, Gritz E, Jarvik ME. Nicotine from cigarette smoking increases circulating levels of cortisol, growth hormone, and prolactin in male chronic smokers. Psychopharmacology 1982;78: 305–8. 10. Chan JL, Bullen J, Lee JH, Yiannakouris N, Mantzoros CS. Ghrelin levels are not regulated by recombinant leptin administration and/or three days of fasting in healthy subjects. J Clin Endocrinol Metab 2004;89:335–43. 11. Niedermaier ON, Smith ML, Beightol LA, Zukowska-Grojec Z, Goldstein DS, Eckberg DL. Influence of cigarette smoking on human autonomic function. Circulation 1993;88:562–71. Demosthenes Bouros Argyris Tzouvelekis Stavros Anevlavis Michael Doris Stavros Tryfon Marios Froudarakis Vasiliki Zournatzi Asterios Kukuvitis
Returns on Adrs and Arbitrage in Emerging Markets

In this paper we compare the distributions of ADR returns and the returns of the locally traded shares between Chile and Argentina. This comparison is interesting because both countries are emerging economies with a similar free market orientation and the trading hours in both countries virtually coincide with the trading hours in New York. Argentina and Chile differ, however, in two important aspects: During our sample period, (1) The Argentinean market was completely under a fixed-exchange rate system, while Chile maintained a flexible exchange rate regime and (2) Argentina did not impose any restrictions on foreign investments, while Chile did. We find that the return distributions of the Chilean ADRs are significantly different from the distributions of the returns on the respective underlying Chilean shares. While the mean returns are the same, the return's standard deviations are significantly different. In contrast, the hypothesis that the distributions of the returns on the Argentinean ADRs and the returns on their respective underlying shares are the same cannot be rejected. We then use a threshold model to estimate the transaction costs of trading the ADRs and the locally traded shares. We find that the transaction costs that must be added to the returns spread before arbitrage is possible were between 100 and 200 basis points for Chilean ADRs. It was between 66 to 165 basis points for the Argentinean ADRs. The daily return spread reversion caused by arbitrage activities was estimated to be around 30% for Chilean ADRs and 40% for Argentinean ADRs. Finally, we cannot reject the hypothesis that low liquidity was a major factor in the cost difference between the two countries.
The 29th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS) 2–3 June 2016, Malmö, Sweden Editor

Stacked Auto-Encoder (SAE) is a rather new machine learning approach which utilize unlabelled training data to learn a deep hierarchical representation of features. SAE:s can be used to learn a feature representation that preserve key information of the features, but has a lower dimensionality than the original feature space. The learnt representation is a non-linear transformation that maps the original features to a space of lower dimensionality. Hyperspectral data are high dimensional while the information conveyed by the data about the scene can be represented in a space of considerably lower dimensionality. Transformation of the hyperspectral data into a representation in a space of lower dimensionality which preserve the most important information is crucial in many applications. We show how unlabelled hyperspectral signatures can be used to train a SAE. The focus for analysis is what type of spectral information is preserved in the hierarchical SAE representation. Results from hyperspectral images of natural scenes with manmade objects placed in the scene is presented. Example of how SAE:s can be used for anomaly detection, detection of anomalous spectral signatures, is also presented.
Fast Lexical-Semantic Analysis of Syntactic n-grams in Myria CSE 544 Final Project

The Google syntactic n-grams dataset is a linguistic resource containing billions of detailed annotations on short strings of text and the relationships between words within them. The dataset is available for download as a large (hundreds of GBs) set of flat files, but no open tools for working with the data have been released to date. As a result, extracting information from this data currently requires custom solutions by any user attempting to analyze it. In this project, we show that by loading this data into a distributed DBMS and using an efficient query plan, it is possible to make a wide range of general queries over it in short amounts of time. We also create a Python API for building common types of queries over the data, effectively abstracting the database itself away from the user while still allowing them to perform a wide range of queries, making it both faster and simpler to analyze and collect information about this dataset.
A Stochastic Statistical Approach for Tracking Human Activity

Modern research for tracking Human-Object by means of various statistical and mathematical shows a new method enriching the conventional methods. The use covariance considering the images in matrix form for collecting features is a proven approach for tracking object/image in preference to the usual histogram based object/image depiction replica frequently used in well-liked methodology. In this paper we propose few robust statistical approaches for tracking an object/image with the help of mathematical model. The improved mathematical model followed by covariance-chaser is capable to prove its superiority with an eye to generate a prominent algorithm leading to generate improved object/image tracking accurateness by decreasing the completing time. These mathematical models are evaluated to a covariance-chaser chaser and the popular histogram-supportive tracker method. With the help of publicly available dataset a huge quantitative assessment is done pinpointing the effectiveness of the obtainable model. Our model is capable to achieve momentous speeding in human-object tracking dynamically in the better way and is capable to decrease the error for false-tracking compared to the earlier histogram-based and other approaches. It is proved that the accuracy rate based on mathematical-detection-model (MDM) is approximately 94.3% as compared to the conventional model with 89.1 percent.
Post-Translational Modifications Mapping Protein Networks Disease Proteomics

Protein post-translational modifications (PTMs) allow the cell to regulate protein activity and play a crucial role in the response to changes in external conditions or internal states. Advances in mass spectrometry now enable proteome wide characterization of PTMs and have revealed a broad functional role for a range of different types of modifications. Here we review advances in the study of the evolution and function of PTMs that were spurred by these technological improvements. We provide an overview of studies focusing on the origin and evolution of regulatory enzymes as well as the evolutionary dynamics of modification sites. Finally, we discuss different mechanisms of altering protein activity via post-translational regulation and progress made in the large-scale functional characterization of PTM function.
Uncovering Hidden Communities of Extremist Micro-Bloggers : A Case Study of Jihadist Groups on Tumblr

Tumblr is one of the largest and most popular microblogging website on the Internet. Studies shows that due to high reachability among viewers, low publication barriers and social networking connectivity, microblogging websites are being misused as a platform to post hateful speech and recruiting new members by existing extremist groups. Manual identification of such posts and communities is overwhelmingly impractical due to large amount of posts and blogs being published every day. We formulate the problem of locating such extremist communities as a graph search problem. We propose a topical crawler based approach performing several tasks: searching for a blogger, computing its similarity against exemplary documents, filtering hate promoting bloggers, navigating through links to other bloggers and managing a queue of such bloggers for social network analysis. We conduct experiments on real world dataset and examine the effectiveness of ’like’ and ’reblog’ features as links between bloggers. Experimental results demonstrates that the proposed solution approach is effective with an F-score of 0.80. We apply social network analysis based techniques and identify influential and core bloggers in a community.
UvA-DARE ( Digital Academic Repository ) Protoplanetary disks and exoplanets in scattered light

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COMPARISON OF HEAT AND MOISTURE FLUXES FROM A MODIFIED SOIL-PLANT-ATMOSPHERE MODEL WITH OBSERVATIONS FROM BOREAS

[1] This study evaluates the prediction of heat and moisture fluxes from a new land surface scheme with eddy correlation data collected at the old aspen site during the Boreal Ecosystem-Atmosphere Study (BOREAS) in 1994. The model used in this study couples a multilayer vegetation model with a soil model. Inclusion of organic material in the upper soil layer is required to adequately simulate exchange between the soil and subcanopy air. Comparisons between the model and observations are discussed to reveal model misrepresentation of some aspects of the diurnal variation of subcanopy processes.
Contextual Sentence Decomposition

In this thesis, we introduce and study contextual sentence decomposition, which, intuitively, decomposes a given sentence into parts that semantically “belong together”. For example, a valid decomposition of the sentence “Usable parts of rhubarb include the edible stalks and the medicinally used roots, however its leaves are toxic” are the sub-sentences “Usable parts of rhubarb include the edible stalks”, “Usable parts of rhubarb include the edible stalks” and “however its leaves are toxic”. Our motivation for this problem comes from semantic full-text search. For a query plant edible leaves, semantic full-text search returns passages where instances of a plant, such as “rhubarb” (and not the word “plant”), are mentioned along with the words “edible” and “leaves”. One of the results this query might erroneously return is the original sentence above. With contextual sentence decomposition we avoid this false-positive, while at the same time maintaining the true factual contents of the original sentence. We propose two approaches for our problem, one based on a set of rules and one using machine learning. On a manually assembled ground truth, we achieve an F-measure of about 65 percent for the former and of 40 percent for the latter. For the semantic full-text search based on these approaches, evaluated on the English Wikipedia (27 GB of raw text), we achieve improvements nearly doubling the F-measure for some queries.
A New Super-Twisting Algorithm-Based Sliding Mode Observer Design for Fault Estimation in a Class of Nonlinear Fractional Order Systems

This paper is concerned with fault estimation in a class of nonlinear fractional order systems using a new super twisting algorithm based second order step by step sliding mode observer. Since the existing sliding mode observers are troubled with the chattering phenomenon, here a new observer structure is proposed and finite time convergence of error dynamics is proved using fractional order super twisting algorithm (FSTA). Two numerical examples of chaotic fractional order systems and a comparison with respect to a similar observer justify the effectiveness of the proposed observer
Dealing with the mess (we made): Unraveling hybridity, normativity, and complexity in journalism studies

In this article, we discuss the rise and use of the concept of hybridity in journalism studies. Hybridity afforded a meaningful intervention in a discipline that had the tendency to focus on a stabilized and homogeneous understanding of the field. Nonetheless, we now need to reconsider its deployment, as it only partially allows us to address and understand the developments in journalism. We argue that if scholarship is to move forward in a productive manner, we need, rather than denote everything that is complex as hybrid, to develop new approaches to our object of study. Ultimately, this is an open invitation to the field to adopt experientialist, practice-based approaches that help us overcome the ultimately limited binary dualities that have long governed our theoretical and empirical work in the field.
ENSO and the California Current coastal upwelling response

A 31 year (1980–2010) sequence of historical analyses of the California Current System (CCS) is used to describe the central CCS (35–43˚N) coastal upwelling response to El Nino-Southern Oscillation (ENSO) variability. The analysis period captures 10 El Nino and 10 La Nina events, including the extreme El Ninos of 1982–1983 and 1997–1998. Data-assimilative model runs and backward trajectory calculations of passive tracers are used to elucidate physical conditions and source water characteristics during the upwelling season of each year. In general, El Nino events produce anomalously weak upwelling and source waters that are unusually shallow, warm, and fresh, while La Nina conditions produce the opposite. Maximum vertical transport anomalies in the CCS occur ∼1 month after El Nino peaks in midwinter, and before the onset of the upwelling season. Source density anomalies peak later than transport anomalies and persist more strongly through the spring and summer, causing the former to impact the upwelling season more directly. As nitrate concentration covaries with density in the central CCS, El Nino may exert more influence over the nitrate concentration of upwelled waters than it does over vertical transport, although both factors are expected to reduce nitrate supply during El Nino events. Interannual comparison of individual diagnostics highlights their relative impacts during different ENSO events, as well as years deviating from the canonical response to ENSO variability. The net impact of ENSO on upwelling is explored through an “Upwelling Efficacy Index”, which may be a useful indicator of bottom-up control on primary productivity.