Miracle-dz/UniFAR-FTUs huggingface dataset:
253 CENTRAL AND SOUTH-EASTERN EUROPEAN STOCK MARKETS : EVIDENCE OF LONG-MEMORY IN MEAN AND VOLATILITY

The paper examines the presence of long-memory in mean and volatility of five capital markets returns from Central and South-Eastern Europe (Hungary, the Czech Republic, Bulgaria, Croatia and Serbia). Daily stock market indices are considered covering period 2001-2012, except that for Serbia sample starts in 2005. The results indicate that long-memory is not a relevant property of returns on BUX (Hungary) and PX (the Czech Republic). However, long-range dependence has been estimated as highly significant in returns of SOFIX (Bulgaria), CROBEX (Croatia) and BELEX15 (Serbia). Thus, ARFIMA specification was chosen as appropriate modelling framework. For all five time series long-memory was found to be the key characteristic of conditional variability as well. FIGARCH set-up was found to explain volatility satisfactory well. In addition, significant asymmetric behaviour of fractionally-differencing volatility has been revealed for BUX and PX returns. The strong evidence of long-memory in Bulgarian, Croatian and Serbian stock returns shows that weak-form market efficiency cannot be associated with these data. Only financial markets in Hungary and Czech Republic have exhibited some improvements towards reaching efficiency. The presence of long-memory in volatility of all five returns is a sign of its high persistence that should not be neglected when risk is to be estimated.
Multi-Level Attention Based BLSTM Neural Network for Biomedical Event Extraction

Biomedical event extraction is an important and challenging task in Information Extraction, which plays a key role for medicine research and disease prevention. Most of the existing event detection methods are based on shallow machine learning methods which mainly rely on domain knowledge and elaborately designed features. Another challenge is that some crucial information as well as the interactions among words or arguments may be ignored since most works treat words and sentences equally. Therefore, we employ a Bidirectional Long Short Term Memory (BLSTM) neural network for event extraction, which can skip handcrafted complex feature extraction. Furthermore, we propose a multi-level attention mechanism, including word level attention which determines the importance of words in a sentence, and the sentence level attention which determines the importance of relevant arguments. Finally, we train dependency word embeddings and add sentence vectors to enrich semantic information. The experimental results show that our model achieves an F-score of 59.61% on the commonly used dataset (MLEE) of biomedical event extraction, which outperforms other state-of-the-art methods. key words: event extraction, trigger detection, argument detection, BLSTM neural network, multi-level attention
Comprehensive Lipid Profiling of Human Liver Tissue Extracts of Non-Alcoholic Fatty Liver Disease Multiplexed Precursor Ion Scanning and LipidView TM Software

Non-alcoholic fatty liver disease (NAFLD) is clinically characterized as uncontrolled fat accumulation in the liver resulting in inflammatory responses, insulin resistance, elevated liver enzymes, and ultimately liver failure. Currently, there are no clinical lipid markers detectable by blood test to ascertain the manifestation of improper fat regulation in the liver of these patients. The cell membranes of hepatocytes consist of an asymmetrical distribution of phosphatidylcholine (PC) and phosphatidyl ethanolamine (PE) lipids localized to the outer and inner bilayers respectively and these lipids co-exist in a fine balance to maintain cell membrane fluidity and integrity. The PC/PE ratio is thought to be off-balance in hepatocytes stricken by inflammation and un-regulated lipid metabolism and could represent a clinical biomarker for monitoring the progression of steatohepatitis and liver disease. The PC/PE ratio can be determined through targeted and quantitative MS measurements of all PC and PE lipids in liver tissue lipid extracts by multiplexed precursor ion scanning.
1 3 A ug 2 01 5 Entropy bounds and field equations

For general metric theories of gravity, we compare the approach that describes-derives the field equations of gravity as a thermodynamic identity with the one which looks at them from entropy bounds. The comparison is made through the consideration of the matter entropy flux across (Rindler) horizons, studied by making use of the notion of a limiting thermodynamic scale l∗ of matter, previously introduced in the context of entropy bounds. In doing this: i) a bound for the entropy of any lump of matter with a given energy-momentum tensor Tab is considered, in terms of a quantity which is independent of the theory of gravity we use; this quantity is the variation of the Clausius entropy of a suitable horizon when the element of matter crosses it; ii) by making use of the equations of motion of the theory, the same quantity is then expressed as the variation of Wald’s entropy of that horizon (and this leads to a generalized form of the generalized covariant entropy bound, applicable to general diffeomorphism-invariant theories of gravity); iii) a notion of l∗ for horizons, and an expression for it, is given.
Hemodynamic Effects of Commercial Flights . Potential Implication on Patients

Background: The main cause of in-flight mortality is a cardiac event. Most of the available information arises from small retrospective studies. The aim of the study is to analyze the cardiovascular response during a commercial flight in healthy volunteers. Methods: Twelve healthy volunteers were studied. Prior to the flight all subjects were studied with physical evaluation, electrocardiogram (EKG), capillary saturation monitoring, echocardiogram, stress test echocardiogram, 24 h EKG Holter, 24 h blood pressure monitoring, and blood tests which included pro brain natriuretic peptide (pro BNP) and C reactive protein (CRP). During the flight, all subjects had a 24 h EKG Holter, an echocardiogram was performed in cruise altitude, blood pressure and capillary saturation was measured every 15 mins. One hour after landing blood pro BNP and CRP was dosed. Results: There was a significant difference in the saturation observed between base and at 120 mins (98.4% + 0.5 vs. 93.1% +1.7, p<0.001). Blood pressure decreased from baseline to 120 mins (119 mmHg + 11.6/ 76.6 + 11 mmHg and 110 mmHg+ 7/ 70.2 mmHg+ 5, respectively, p=0.03). No differences were observed in the measurements of heart rate, CRP and proBNP. During the flight, 2 subjects showed transient regional wall-motion abnormalities, one of whom showed apical ballooning pattern. Conclusion: We observed important decrease in arterial oxygen saturation during the flight and the arterial blood pressure was significantly lower compared to baselines measures. Two healthy volunteers showed cardiovascular dysfunction during the commercial flight. Haemodynamic changes should be considered in patients with cardiac conditions, after thoracic surgery and cardiovascular treatment. Hernan Cohen Arazi*, Silvina Waldman, Norberto Casso and Mauricio Abello Department of Cardiology, CEMIC Saavedra, Argentina
Non-linear analysis of a model for yeast cell communication

We study the non-linear stability of a coupled system of two non-linear transport-diffusion equations set in two opposite half-lines. This system describes some aspects of yeast pairwise cellular communication, through the concentration of some protein in the cell bulk and at the cell boundary. We show that it is of bistable type, provided that the intensity of active molecular transport is large enough. We prove the non-linear stability of the most concentrated steady state, for large initial data, by entropy and comparison techniques. For small initial data we prove the self-similar decay of the molecular concentration towards zero. Informally speaking, the rise of a dialog between yeast cells requires enough active molecular transport in this model. Besides, if the cells do not invest enough in the communication with their partner, they do not respond to each other; but a sufficient initial input from each cell in the dialog leads to the establishment of a stable activated state in both cells.
Real time image segmentation and labelling based on reconfigurable architectures

A real time vision system of images perceived in real environments based on reconfigurable architecture is presented. The system provides surface labelling of the input images of unstructured scenes, irrespective of the environmental lighting or scale conditions adapting the response to temporal restrictions. The nucleus of the system is based on querying self-organizing maps constructed with supervised training by means of descriptors extracted from images of different surfaces perceived for successive values of the optical parameters (lighting and scale). To improve the labelling process the system estimates the environmental optical parameters and then self-organizing maps are reconfigured. A segmented architecture is proposed for the central module of the labelling process, which will improve the performance of image sequences. A prototype implemented on FPGAs applied as a guidance aid for vehicles is provided. This prototype can regulate its processing frequency at the speed demanded by the vehicle.
Effect of family-centered empowerment model on the life style of myocardial infarction patients

Aims: Nowadays, noncontiguous diseases have been extended due to the renovation of societies, technology promotion and density of population on urban zones, life and style changes and tendency of population to unsuitable habits. Cardiovascular diseases are from these failures and are the most widespread death cause in the most nations of universe and also Iran and the most important cause of unhealthy. The aim of this study was to evaluate the effect of family-centered empowerment model on the life style of the myocardial infarction patients. Methods: This clinical trial study accomplished from August to December 2007 on all of myocardial infarction patients hospitalized in Shari’ati Hospital coronary care unit. After sampling by randomized clustering, subjects (70 patients) were randomly assigned to experimental and control group. For experimental group, family-centered empowerment model was implemented with four dimensions of perceived threat (severity and sensitivity), self-efficacy, educational partnership and evaluation; and usual care was done for control group members. The research tools were demographic, lifestyle and four empowerment dimensional questionnaires. Results: There were no significant difference between two groups in demographic data (p>0.05). In lifestyle dimension, tests revealed no significant difference between two groups before the intervention (p>0.05); but after the intervention, all modes differences were deeply significant (p<0.001) except physical healthy (p>0.05). Conclusion: Performing family-centered empowerment model for patients with myocardial infarction is practically feasible and associated with improvement or modification of patients and his or her families’ lifestyle.
Lean Management Shifts in Higher Education Towards Networking Units : A View From Russia

The aim of the paper is to verify the structural changes in the Russian higher education for their compliance with the lean management principles. The analysis of the main challenges and threats arising in Russian higher education as a result of the structural transformation of universities through mergers and acquisitions is proposed. The viability of alternative approaches associated with the formation of educational clusters and network structures that facilitate the hierarchical management of large universities and the process of delegation of authority is noted. Keywords-higher education, lean management, digital economy, self-competition strategy, networks, organizational structure, educational clusters, market of educational services,
Using Neural Network in the Classification of Forest Types From A Remote Sensing Data Set

Classifcation plays an important role in remote sensing study. This article will utilize a neural network method in the classifcation of forest types. This neural network method is mainly based on a previous research paper. Additionally, an evolutionary algorithm method is used in this neural network. After classifying the forest types of the data set, the study will make a comparison between this result and another result with the same data set for forest types classifcation. In conclusion, the neural network classifcation method in this case study has a satisfactory performance. The enhancement method adapted from the reference as well as the evolutionary algorithm method can slightly improve the quality of neural network while the technique of threshold modifcation is not suitable for this case study.
CME Zertifizierte Fortbildung

Transparency in healthcare has been demanded and promoted for years. The aim of such transparency is disclosure of relationships and interests, so that patients can draw their own conclusions regarding the economic relations of their treating physician. Furthermore, transparency measures aim to prevent illegitimate payments. Overall, transparency should keep healthcare free from nonmedical considerations, which may stand in contrast to the patient’s wellbeing. Part of this strategy is the legislation aimed at fighting corruption in healthcare passed 13 April 2016, the so-called Anticorruption Act
Coagulation Variables in Camel Neonates and Their Dams

Camel Research Center, King Faisal University Al-Ahsa, Saudi Arabia Abstract: A wide range of haemostatic variables were studied in a number of 62 neonate camels and their dams at the time of delivery. The results indicated significant prolongation of the coagulation time, template bleeding time, activated coagulation time, prothrombin time, activated partial thromboplastin time, reptilase time, and a reduction in platelets count with no change in fibrin degradation products was observed in neonates in comparison with their dams. This indicates a significant diminution in coagulation mechanism in neonate which is considered to be of physiological nature at this early age.
Practical management of haemoglobinopathies

Contributors.Preface Iheanyi E Okpala.Foreword Patricia Moberly.1. The Concept of Comprehensive Care of Sickle Cell Disease.2. Haemoglobinopathy Diagnostic Tests: Blood Counts, Sickle Solubility Test, Haemoglobin Electrophoresis, & High-Performance Liquid Chromatography.3. Epidemiology, Genetics and Pathophysiology of Sickle Cell Disease.4. The Genetics & Multiple Phenotypes of Beta-Thalassaemia.5. The Diagnosis & Significance of Alpha-Thalassaemia.6. The Morbid Anatomy of Sickle Cell Disease & Sickle Cell Trait.7. Sickle Cell Crisis.8. Treatment Modalities for Pain in Sickle Cell Disease.9. Management of Sickle Cell Disease in Childhood.10. Acute Chest Syndrome in Sickle Cell Disease.11. Blood Transfusion Therapy for Haemoglobinopathies.12. Management of Pregnancy in Sickle Cell Disease.13. The Liver in Sickle Cell Diseases.14. Pulmonary Hypertension: a Complication of Haemolytic States.15. Stroke in Sickle Cell Disease.16. Iron Chelation Therapy in Beta Thalassaemia Major.17. Renal Manifestations of Sickle Cell Disease.18. Assessment of Severity & Hydroxyurea Therapy in Sickle Cell Disease.19. Haemopoietic Stem Cell Transplantation for Thalassaemia & Sickle Cell Disease.20. Practical Guidelines, Antibiotic Therapy, Exchange Blood Transfusion and Peri-operative Management in Sickle Cell Disease.21. Opiate Dependence in Sickle Cell Disease.22. The Roles & Functions of a Community Sickle Cell & Thalassaemia Centre.23. Community Nursing Care of Adults with Sickle Cell Disease & Thalassaemia.24. Counselling People Affected by Sickle Cell Disease & Thalassaemia.25. Sickle Cell Disease & Thalassaemia: The Challenge for Health Professionals and Resources Available.Index. Colour plates are found between pp. 54-55
RUNNING HEAD : Poverty , gender , and school dropout Poverty moderates the association between gender and school dropout in South African adolescents

This study examined prospective associations between poverty, gender, and school dropout in a large community sample of South African adolescents (Baseline: n = 3515, Follow-up: n = 3401, 57% female, age range at baseline: 10-17 years, mean age at baseline = 13.45). School dropout was defined as being enrolled in school at baseline assessment but no longer enrolled in school at follow-up assessment. Poverty was measured at baseline assessment using an index of access to the eight highest socially-perceived necessities for South African children and adolescents. Demographic characteristics including child gender and age, province, and urban versus rural location were recorded at baseline assessment and controlled for in the analysis. As predicted, higher poverty scores (AOR = 2.01, p < .001) were associated with increased odds of school dropout one year later. Gender was not a significant predictor of school dropout (AOR = 1.56, p = .07) but did interact with poverty (AOR = 0.66, p = .04) in predicting school dropout. However, our initial hypothesis that the impact of poverty on school dropout would be stronger for girls than boys was not supported. Instead, results indicated that while girls were at elevated risk of school dropout at low and mean levels of poverty, at high levels of poverty this gender difference was no longer evident. Findings suggest that vulnerable boys should not be neglected in policies to improve retention in education in contexts of extreme poverty.
Facial Feature Point Detection

Facial Feature Point Detection Fang Chen Master of Applied Science Graduate Department of the Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 2011 Facial feature point detection is a key issue in facial image processing. One main challenge of facial feature point detection is the variation of facial structures due to expressions. This thesis aims to explore more accurate and robust facial feature point detection algorithms, which can facilitate the research on facial image processing, in particular the facial expression analysis. This thesis introduces a facial feature point detection system, where the Multilinear Principal Component Analysis is applied to extract the highly descriptive features of facial feature points. In addition, to improve the accuracy and efficiency of the system, a skin color based face detection algorithm is studied. The experiment results have indicated that this system is effective in detecting 20 facial feature points in frontal faces with different expressions. This system has also achieved a higher accuracy during the comparison with the state-of-the-art, BoRMaN.
Imperfect Competition , Long Lived Private Information , and the Implications for the Competition of High Frequency Trading

I analyze the competition among strategic informed traders in an economy with a risky asset whose liquidation value is private information and follows a mean-reverting process. Instead of being one-shot, the private information is acquired by informed traders gradually. The unique linear equilibrium has an analytic form and is explicitly analyzed. In the limit of continuous trading, (i) the imperfectly competitive informed traders earn positive expected profits, contrary to the Bertrand-like results in Holden and Subrahmanyam (1992) and Foster and Visvanathan (1993), and (ii) they contribute significantly to price volatility and the fraction of total trading volume, whereas the monopolist in Chau and Vayanos (2008) has negligible contributions. These results can help (i) justify the co-existence of high frequency traders who employ very similar strategies, and (ii) provide new insights and policy suggestions regarding to the effect of high frequency competition. ∗This paper is based on Chapter 1 of my dissertation at the Robert H. Smith School of Business, University of Maryland. I am especially grateful to my dissertation committee, Albert “Pete” Kyle (Chair), Steven L. Heston, Mark Loewenstein and Dilip Madan, for their guidance and constructive suggestions. I also thank Wei Li, Anna Obizhaeva, Bruno Biais, and Ioanid Rosu as well as participants at the seminars at the University of Maryland and Stony Brook University for their valuable discussions. All errors are my own.
Remodeling in an IMR-32 Cell Line and Transgenic Mouse Model of Alzheimer ’ s Disease

The pathological features of Alzheimer’s disease (AD) have been researched and documented extensively, however the causes of these features are still unknown. The following studies sought to determine if epigenetic methylation alterations contribute to AD. Two studies were sequentially carried out, first using an IMR-32 model and then using a transgenic mouse model overexpressing beta-amyloid. A few assay and confirmation methods were carried out to determine the promoter regions in disease state models undergoing drastic change, and the genes linked to these promoter regions were analyzed to determine significant gene ontology being altered by this epigenetic modification. This data was further assessed in the transgenic mouse study by determining expression levels and transcription factor enrichment in the genes experiencing significant promoter methylation alterations. Both studies provided data supporting the idea that epigenetic methylation alterations are linked to genes having ontological functions associated with AD pathology. This conclusion supports the theory that epigenetics contributes to the development of AD. EPIGENETIC REMODELING IN AD 4 Acknowledgements I need to thank several people for their invaluable contribution to the work presented in this paper. First, I would like to acknowledge and express gratitude to Noor Taher for his vital contribution to almost every aspect of this paper, including his teaching, data analysis and figure development. I would also like to thank Rebecca Garrett and Courtney McKenzie for their contributions to the background and initial aspects of this study. As for current contributions, I need to thank Michael Carson, Rebecca Haraf, John Davy, and Amanda Hazy for their support and input throughout the final portion of this project. And finally, I would like to express extreme gratitude to Dr. Gary Isaacs for his constant guidance and advice not only in this project, but in all aspects of my education. His contributions have had a direct impact on the course of my educational pursuits, and I cannot possibly thank him enough for all of his sacrificed time and energy. EPIGENETIC REMODELING IN AD 5 Table of