Miracle-dz/UniFAR-FTUs huggingface dataset:
Atrial fibrillation and heart failure: beyond the heart rate

Purpose of review Atrial fibrillation and heart failure are two of the most prevalent cardiovascular disease conditions. They often coexist and lead to significant morbidity and mortality. Adequate management strategies for this dual epidemic continue to be the subject of many research studies. Recent findings Recent clinical trials suggest that a rhythm control strategy for atrial fibrillation does not offer a survival advantage over rate control in heart failure patients with reduced systolic function. Rhythm control in these trials was achieved using antiarrhythmic drugs, with evidence of increased mortality associated with certain agents. Catheter ablation is a more effective and increasingly used approach to maintain sinus rhythm in atrial fibrillation patients, with promising results in the heart failure population. Late-gadolinium-enhancement cardiac MRI (LGE-MRI) assessment of atrial fibrosis helps in selecting the better candidates for atrial fibrillation ablation. AV nodal ablation and bi-ventricular pacing remains another viable option. Atrial fibrillation patients with heart failure and preserved systolic function are another group in whom maintenance of sinus rhythm is thought to be advantageous. Summary Patients with atrial fibrillation and heart failure are a heterogeneous group and require a personalized treatment approach. Catheter ablation to restore and maintain sinus rhythm is a modality that promises to be advantageous beyond rate control.
Auto-Weighted Multi-View Learning for Image Clustering and Semi-Supervised Classification

Due to the efficiency of learning relationships and complex structures hidden in data, graph-oriented methods have been widely investigated and achieve promising performance. Generally, in the field of multi-view learning, these algorithms construct informative graph for each view, on which the following clustering or classification procedure are based. However, in many real-world data sets, original data always contain noises and outlying entries that result in unreliable and inaccurate graphs, which cannot be ameliorated in the previous methods. In this paper, we propose a novel multi-view learning model which performs clustering/semi-supervised classification and local structure learning simultaneously. The obtained optimal graph can be partitioned into specific clusters directly. Moreover, our model can allocate ideal weight for each view automatically without explicit weight definition and penalty parameters. An efficient algorithm is proposed to optimize this model. Extensive experimental results on different real-world data sets show that the proposed model outperforms other state-of-the-art multi-view algorithms.
Proposal of Cooperative Communication to Enhance Accuracy of Wireless Control Systems

Control systems are being changed from wired to wireless communications because of flexibility, mobility and extensibility of wireless communication systems; however the reliability of wireless communications is suspected. In this paper, we propose cooperative communication scheme for wireless control systems which consist of a controller and multiple machines; these machines cooperatively work in a group and for the same duty. In the proposed method, the controller can communicate with machines directly or via other machines, whereas in the conventional method, the controller only communicates with machines directly. The simple 2-link arm plant is used to evaluate our proposed system, and the simulation results indicate that the proposed method is more accurate, and more stable than the conventional method.
Childhood Obesity Policy

In the United States there is a prevalence of obesity among ethnic groups, especially African American girls. The author in this column examines through an ecological lens selected American federal, state, and city policies and program interventions aimed at reducing obesity. Specifically, the eating behavior of African American girls is discussed as a population subset for which significant gaps are present in current obesity policy and implementation. Policy recommendations should include parents as research has shown a significant relationship in the eating behaviors of African American girls and their parents. Opportunities for nurses in practice and research to test the effectiveness of family and community level policy and program initiatives that address the ecological perspectives of the adolescent environment are discussed.
ITER Fuelling Requirements and Scenario Development for H, He and DT Through JINTRAC Integrated Modelling

We have modelled self-consistently the most efficient ways to fuel ITER Hydrogen (H), Helium (He) and Deuterium-Tritium (DT) plasmas with gas and/or pellet injection with the integrated core and 2D SOL/divertor suite of codes JINTRAC. As far as we are aware, for ITER this is the first time modelling of the entire plasma has been carried out to follow the plasma evolution from X-point formation, through L-mode, L-H transition, steadystate H-mode, H-L transition and current ramp-down. We gave attention to keeping within ITER operational limits, in particular maintaining the target power loads below 10MW/m by Ne seeding or main gas rate. For the Pre-Fusion Plasma Operation phase our aim was to develop robust scenarios, including those required for the commissioning of systems with plasma. Our simulations show that commissioning and operation of the ITER Neutral Beam (NB) system to full power should be possible in 15 MA/5.3T L-mode H plasmas with pellet fuelling and 20MW of ECRH. For He plasmas gas fuelling alone is enough to allow access to H-mode conditions at 7.5 MA/2.65T with 53-73 MW of additional heating, as after application of NB and during the ensuing L-H transition, the modelled density build-up quickly reduces the NB shine-through losses to acceptable levels. These He Hmodes should allow the characterisation of ITER H-mode plasmas and the demonstration of ELM control schemes to take place in the non-active phase before ITER DT operation. In ITER DT plasmas we have explored, by varying the fuelling and heating schemes, the best route to achieve the target fusion gain of Q=10 and how to exit the plasma from such conditions with acceptable divertor loads. The use of pellet fuelling in DT can provide a faster route to increase the density in L-modes, but it is not essential for unrestricted NB operation due to the lower shine-through losses compared to H. During the H-L transition and current ramp-down, gas fuelling and Ne seeding are required to keep the divertor power loads under the engineering limits but precise control over radiation is needed to prevent the plasma becoming thermally unstable.
Static and dynamic analysis for web security in industry applications

To apply our analysis work in industry security applications, we are investigating semantic metadata and structural syntax analysis. This paper explains how our approaches achieve the goal in terms of static and dynamic analysis by using industry scenarios. To better explain the framework and roadmap, we describe our approaches by using macro and micro views individually. Macro view oversees syntax structure and identification, while micro view envisions metadata messaging and parser automaton. The coherence of macro and micro views forms web security framework in tracking and validation. Our research applies the security service in industry fraud detection. It demonstrates metadata messaging for tracking, and HIPA code generation for validation. This bridges the gap between static and dynamic analysis. This also builds up the foundation of web security governance.
Analyzing Impact of Interface Implementation Efforts on the Structure of a Software Market - OSS/BSS Market Polarization Scenario

A vertical software market is usually subject to the process of disintegration resulting in a market where different layers of software are provided by independent software vendors. However, as argued in this paper, the process of this vertical disintegration may be affected by high investments to software interface implementation and maintenance. Should the required efforts be large, the threshold for entering the market increases, thereby hampering the vertical disintegration process. This study examines the impact of the interface implementation efforts on the vertical market evolution in the case of the so-called operations support systems and business support systems (OSS/BSS) software, which are employed by the telecom operators in order to support their daily operations. The efforts are compared for two prototypical software vendors serving incumbent operators and new operators respectively. Total efforts are an order of magnitude larger in the former case. Furthermore, even if only latest network protocols are taken into account, the efforts are significantly larger in the former case, therefore requiring several times greater number of employees to implement them. Therefore, a conclusion is made that the OSS/BSS market is likely to polarize into the vertical submarket of large software vendors serving incumbent operators, and the submarket of small vendors serving young operators. The latter submarket, due to the lower entry threshold for new vendors is more likely to be vertically disintegrated.
Transient flow and shear stress measurements in an anatomical model of the human carotid artery

The initiation, development and progression of arterial disease is directly linked to the prevailing haemodynamic environment and wall shear stress (WSS) distribution within the arteries. The health of the endothelial cells that line the arterial wall is directly influenced by steady and oscillatory WSS, flow separation and departure from unidirectional flow, [1], which particularly occurs in vessel bifurcations and bends. The study of arterial WSS has mostly been restricted to numerical simulations or LDA measurements and not many experimental studies have been performed with physiologically realistic models and boundary conditions. Therefore, this paper presents such measurements of transient WSS in a realistic arterial geometry.
1 FIP / P 7-9 Integrated Concept Development of NextStep Helical-Axis Advanced

This work elaborates on the recent developments of the advanced stellartor line towards consistent next-step designs using an systemic integrated modelling approach. This means, a stellarator fusion power plant is treated as a complete system combining physics and engineering aspects employing respective tools such as transport simulations and systems codes. Care is thereby taken to consider the interactions and interplay between the different aspects and components in order to develop a consistent design entity.
RELATIONSHIP OF ORGANIZATIONAL LEARNING AND KNOWLEDGE MANAGEMENT WITH ORGANIZATIONAL CITIZENSHIP BEHAVIOR IN KERMANSHAH GENERAL ADMINISTRATION OF SPORT

The aim of the present study was to investigate the relationship between organizational learning and knowledge management with organizational citizenship behavior in General Administration of Sports in Kermanshah, Iran. The population were includes 148 employees and experts of General Administration of Sport in Kermanshah province and data obtained were analyzed by using one-sample t-test, Pearson correlation coefficient and multiple simple regression in level of P<0.05 were analyzed. The results showed that three components of organizational learning, knowledge management and organizational citizenship behavior are in a desirable status at General Administration of Sport of Kermanshah province. Also, there is a significant relationship between the components of the research. According to the findings above, it can be concluded that by providing appropriate opportunities for professional growth and increase in their public information and responsible participation in organizational learning and political life cycle of an organization. Moreover, we can strengthened organizational support and encouraged employees and managersto participate actively in the organizations meetings to provide and receive constructive suggestions and through improving the effectiveness of units and organizational, and also improving the quality of administrative services to be participate in their organization efficiency growth.
Genetic overlap between impulsivity and alcohol dependence: a large-scale national twin study

Background Alcohol dependence is associated with increased levels of impulsivity, but the genetic and environmental underpinnings of this overlap remain unclear. The purpose of the current study was to investigate the degree to which genetic and environmental factors contribute to the overlap between alcohol dependence and impulsivity. Method Univariate and bivariate twin model fitting was conducted for alcohol dependence and impulsivity in a national sample of 16 819 twins born in Sweden from 1959 to 1985. Results The heritability estimate for alcohol dependence was 44% [95% confidence interval (CI) 31–57%] for males and 62% (95% CI 52–72%) for females. For impulsivity, the heritability was 33% (95% CI 30–36%) in males and females. The bivariate twin analysis indicated a statistically significant genetic correlation between alcohol dependence and impulsivity of 0.40 (95% CI 0.23–0.58) in males and 0.20 (95% CI 0.07–0.33) in females. The phenotypic correlation between alcohol dependence and impulsivity was 0.20 and 0.17 for males and females, respectively, and the bivariate heritability was 80% (95% CI 47–117%) for males and 53% (95% CI 19–86%) for females. The remaining variance in all models was accounted for by non-shared environmental factors. Conclusions The association between alcohol dependence and impulsivity can be partially accounted for by shared genetic factors. The genetic correlation was greater in men compared with women, which may indicate different pathways to the development of alcohol dependence between sexes. The observed genetic overlap has clinical implications regarding treatment and prevention, and partially explains the substantial co-morbidity between alcohol dependence and psychiatric disorders characterized by impulsive behaviour.
Intracellular uptake of (‐)epicatechin by human erythrocytes as a function of human age

The present studies were carried out to determine the intracellular uptake of (‐)epicatechin by erythrocytes during aging in humans. (‐)Epicatechin uptake was estimated by performing ethyl acetate extraction while the total antioxidant potential of the (‐)epicatechin was estimated in terms of FRAP (ferric reducing ability of plasma) values. A significant (p < 0.001) decrease in (‐)epicatechin uptake by human erythrocytes was observed as a function of age. It is hypothesized that the uptake of (‐)epicatechin in human erythrocytes has an important role in the regulation of PMRS (plasma membrane redox system) activity during normal human aging. Copyright © 2010 John Wiley & Sons, Ltd.
Exemplar-based Terrain Synthesis

The first terrain modeling techniques were introduced in the late 70’s and in early 80’s. They used procedural methods based on fractals to generate geometry. These models are good enough for some applications, but are not geomorphologically correct. Later, some works introduced methods that create terrains simulating physical process and using real data. In this work we discuss a method to generate terrains based on real samples of digital elevation models. The synthesis process is an adaptation of modern texture synthesis algorithms. Our method goes toward creating non-homogeneous terrains using some controllable features. Keywords-Terrain synthesis, exemplar-based approach, real data
Crude Oil Price Prediction Using Deep Learning

The crude oil price has a huge impact on the world's economy. From the past few years, crude oil price fluctuates more than any other commodities prices. As the crude oil price depends on several external factors and there is high volatility predicting crude oil prices is very challenging. Long Short-Term Memory (LSTM) based on a recurrent neural network has shown better results in predicting prices that have high volatility. By utilizing this model, the significant crude oil price is evaluated and modelled. The exhibition of the proposed model is assessed by utilizing the valuable information in the WTI unrefined petroleum markets. The exploratory results show that the proposed model achieves increments in the expected precision of results. The data required is collected from the official website of FEDERAL-RESERVE -BANK -OF -ST. LOUIS
Knowledge discovery and machine learning for capacity optimization of Automatic Milking Rotary System

Dairy farming as one part of agriculture has thousands of year’s history. The increasing demands of dairy products and the rapid development of technology bring dairy farming tremendous changes. Started by first hand milking, dairy farming goes through vacuum bucket milking, pipeline milking, and now parlors milking. The automatic and technical milking system provided farmer with high-efficiency milking, effective herd management and above all booming income. DeLaval Automatic Milking Rotary (AMRTM) is the world’s leading automatic milking rotary system. It presents an ultimate combination of technology and machinery which brings dairy farming with significant benefits. AMRTM technical milking capacity is 90 cows per hour. However, constrained by farm management, cow’s condition and system configuration, the actual capacity is lower than technical value. In this thesis, an optimization system is designed to analyze and improve AMRTM performance. The research is focusing on cow behavior and AMRTM robot timeout. Through applying knowledge discover from database (KDD), building machine learning cow behavior prediction system and developing modeling methods for system simulation, the optimizing solutions are proposed and validated.
MECHANICAL BEHAVIORS OF THIN-PLY COMPOSITE LAMINATES UNDER SHORT-BEAM SHEAR AND OPEN-HOLE TENSILE LOADS : PSEUDO-HOMOGENEOUS AND ISOTROPIC BEHAVIORS

In recent years, spread-tow technology provides composites manufacturers a way to fabricate thinner fabrics almost free of fiber twist and crimp which significantly stunting fiber performance. In this paper, interlaminar shear strength of carbon fiber/epoxy thin-ply laminates subjected to shortbeam shear loads and tensile behaviors of open-hole carbon fiber/epoxy thin-ply laminates are investigated. Experimental results show that, by tapering the ply thickness, the interlaminar shear strength of the laminates under short-beam shearing is increased and a brittle fracture mode appears in open-hole tensile test of the laminates similar to isotropic materials. By optical micrographs and classical laminate theory analysis, relatively homogeneous microstructure and regular stress distribution make the thin-ply laminates demonstrate pseudo-homogeneous and isotropic behaviors.
6 Glial and Axonal Pathology in Multiple Sclerosis

The major components of the CNS; neurons and neurites, microglias, astrocytes, ependymal cells and oligodendrocytes, establish all an important interrelationship, vital to the brain maintenance homeostasis. Ependymal cells lay around layers of astrocytes, which in turn envelop neurons, neurites and vascular elements. In addition, the normal CNS parenchyma contains blood vessels and resident macrophages. Glial cells, as they possess no conventional synaptic contacts, differ from neurons mainly establishing a rich interrelationship with other CNS components. The neuroglia, brain interstitial element, is recognized as including three groups of glial cells: 1) macroglias, such as astrocytes and oligodendrocytes,2) microglia and 3) ependymal cells.
Comparison of Blood Smear, Antigen Detection, and Nested-PCR Methods for Screening Refugees from Regions Where Malaria Is Endemic after a Malaria Outbreak in Quebec, Canada

ABSTRACT The importation of malaria into a region where it is not endemic raises many concerns, including the timely delivery of appropriate care, safety of the blood supply, and the risk of autochthonous transmission. There is presently no consensus on the best way to screen mobile populations for malaria. Between August 2000 and March 2001, 535 refugees arrived in Quebec, Canada, from Tanzanian camps. Within 4 weeks of resettlement of the first group of 224, the McGill University Centre for Tropical Diseases noted an outbreak of malaria across the province (15 cases over a 3-week period). This group (group 1) was traced and screened for malaria between 3 and 4 months after arrival in Canada. Subsequent groups of 106 and 205 refugees were screened immediately upon arrival in Canada (group 2) and immediately prior to their departure from refugee camps (group 3), respectively. A single EDTA-blood sample was obtained from 521 refugees for testing by thick and thin blood smears (groups 1 and 2), antigen detection (ICT Malaria Pf and OptiMAL; group 1 only), and nested PCR (all groups). Overall, 98 of 521 refugees were found to be infected (18.8%). The vast majority of infections (81 of 98) were caused by Plasmodium falciparum alone. Using PCR as the “gold standard,” both microscopy (sensitivity, 50%; specificity, 100%) and antigen detection (ICT sensitivity, 37.5%; ICT specificity, 100%; OptiMAL sensitivity, 29.1%; OptiMAL specificity, 95.6%) performed poorly. None of the PCR-positive subjects were symptomatic at the time of testing, and only two had recently had symptoms compatible with malaria (with or without diagnosis and treatment). Active surveillance of migrants from regions of intense malaria transmission can reduce the risk of morbidity in the migrant population and mitigate against transmission to the host population. Our data demonstrate that PCR is, by far, the most powerful tool for such surveillance.
A New Dynamic Intelligent Model to Determine Reliability and Trust of Online Banking by Using Fuzzy C-Mean

The main purpose of the present study presents a new model of smart dynamically determine the validity and reliability survey of Internet users bank is using Fuzzy C-Mean model. In other words, the aim of this study is to provide a smart system to determine the behavior of Internet users bank is confidence, so that we can fit the points by the customer, providing banking services to defined limits. In terms of method, a descriptive and exploratory data mining is in use. The method of research was descriptive survey and the use of data mining, exploration. The aim of this study is applied. The survey of methods for qualitative and quantitative data. Since the data of the Agricultural Bank documents (bills of transfer, transfer funds transfers, the number of IT users, foundations, etc.) were collected and interviews with experts in the field of electronic banking Agricultural Bank, Agricultural Bank branch target population for were randomly selected. The results showed that the diagnostic accuracy provided structure to determine the acceptable level of confidence in Internet banking is user behavior.