Miracle-dz/UniFAR-FTUs huggingface dataset:
IMMEDIATE CORONARY ANGIOGRAPHY IN SURVIVORS OF OUT-OF-HOSPITAL CARDIAC ARREST C

A BSTRACT Background The incidence of acute coronaryartery occlusion among patients with sudden cardiac arrest outside of the hospital is unknown, and the role of reperfusion therapy has not been determined. We therefore performed immediate coronary angiography and angioplasty when indicated in survivors of out-of-hospital cardiac arrest. Methods Between September 1994 and August 1996, coronary angiography was performed in 84 consecutive patients between the ages of 30 and 75 years who had no obvious noncardiac cause of cardiac arrest. Results Sixty of the 84 patients had clinically significant coronary disease on angiography, 40 of whom had coronary-artery occlusion (48 percent). Angioplasty was attempted in 37 patients and was technically successful in 28. Clinical and electrocardiographic findings, such as the occurrence of chest pain and the presence of ST-segment elevation, were poor predictors of acute coronary-artery occlusion. The in-hospital survival rate was 38 percent. Multivariate logistic-regression analysis revealed that successful angioplasty was an independent predictor of survival (odds ratio, 5.2; 95 percent confidence interval, 1.1 to 24.5; P 0.04). Conclusions Acute coronary-artery occlusion is frequent in survivors of out-of-hospital cardiac arrest and is predicted poorly by clinical and electrocardiographic findings. Accurate diagnosis by immediate coronary angiography can be followed in suitable candidates by coronary angioplasty, which seems to improve survival. (N Engl J Med 1997;336:1629-33.)
Automatic detection and verification of pipeline construction features with multi-modal data

Assessment of the condition of underground pipelines is crucial to avoid breakages. Autonomous in-line inspection tools provided with Non-destructive Technology (NDT) sensors to assess large sections of the pipeline are commonly used for these purposes. An example of such sensors based on Eddy currents is the Remote Field Technology (RFT). A crucial step during in-line inspections is the detection of construction features, such as joints and elbows, to accurately locate and size specific defects within pipe sections. This step is often performed manually with the aid of visual data, which results in slow data processing. In this paper, we propose a generic framework to automate the detection and verification of these construction features using both NDT sensor data and visual images. Firstly, supervised learning is used to identify the construction features in the NDT sensor signals. Then, image processing is employed to verify the selection. Results are presented with data from a RFT tool, for which a specialised descriptor has been designed to characterise and classify its signal features. Furthermore, the construction feature is displayed in the image, once it is identified in the RFT data and detected in the visual data. A visual odometry algorithm has been implemented to locate the visual data with respect to the RFT data. About 800 meters of these multi-modal data are evaluated to test the validity of the proposed approach.
Human Genome & Diseases: Review Aneuploidy in the normal and diseased brain

The brain is remarkable for its complex orga- nization and functions, which have been historically as- sumed to arise from cells with identical genomes. How- ever, recent studies have shown that the brain is in fact a complex genetic mosaic of aneuploid and euploid cells. The precise function of neural aneuploidy and mosaicism are currently being examined on multiple fronts that in- clude contributions to cellular diversity, cellular signaling and diseases of the central nervous system (CNS). Con- stitutive aneuploidy in genetic diseases has proven roles in brain dysfunction, as observed in Down syndrome (trisomy 21) and mosaic variegated aneuploidy. The exis- tence of aneuploid cells within normal individuals raises the possibility that these cells might have distinct func- tions in the normal and diseased brain, the latter contrib- uting to sporadic CNS disorders including cancer. Here we review what is known about neural aneuploidy, and offer speculations on its role in diseases of the brain.
Query-Adaptive Hash Code Ranking for Fast Nearest Neighbor Search

Recently hash-based nearest neighbor search has become attractive in many applications due to its compressed storage and fast query speed. However, the quantization in the hashing process usually degenerates its discriminative power when using Hamming distance ranking. To enable fine-grained ranking, hash bit weighting has been proved as a promising solution. Though achieving satisfying performance improvement, state-of-the-art weighting methods usually heavily rely on the projection's distribution assumption, and thus can hardly be directly applied to more general types of hashing algorithms. In this paper, we propose a new ranking method named QRank with query-adaptive bitwise weights by exploiting both the discriminative power of each hash function and their complement for nearest neighbor search. QRank is a general weighting method for all kinds of hashing algorithms without any strict assumptions. Experimental results on two well-known benchmarks MNIST and NUS-WIDE show that the proposed method can achieve up to 17.11\% performance gains over state-of-the-art methods.
Effect of alcohol consumption on biological markers associated with risk of coronary heart disease: systematic review and meta-analysis of interventional studies

Objective To systematically review interventional studies of the effects of alcohol consumption on 21 biological markers associated with risk of coronary heart disease in adults without known cardiovascular disease. Design Systematic review and meta-analysis. Data sources Medline (1950 to October 2009) and Embase (1980 to October 2009) without limits. Study selection Two reviewers independently selected studies that examined adults without known cardiovascular disease and that compared fasting levels of specific biological markers associated with coronary heart disease after alcohol use with those after a period of no alcohol use (controls). 4690 articles were screened for eligibility, the full texts of 124 studies reviewed, and 63 relevant articles selected. Results Of 63 eligible studies, 44 on 13 biomarkers were meta-analysed in fixed or random effects models. Quality was assessed by sensitivity analysis of studies grouped by design. Analyses were stratified by type of beverage (wine, beer, spirits). Alcohol significantly increased levels of high density lipoprotein cholesterol (pooled mean difference 0.094 mmol/L, 95% confidence interval 0.064 to 0.123), apolipoprotein A1 (0.101 g/L, 0.073 to 0.129), and adiponectin (0.56 mg/L, 0.39 to 0.72). Alcohol showed a dose-response relation with high density lipoprotein cholesterol (test for trend P=0.013). Alcohol decreased fibrinogen levels (−0.20 g/L, −0.29 to −0.11) but did not affect triglyceride levels. Results were similar for crossover and before and after studies, and across beverage types. Conclusions Favourable changes in several cardiovascular biomarkers (higher levels of high density lipoprotein cholesterol and adiponectin and lower levels of fibrinogen) provide indirect pathophysiological support for a protective effect of moderate alcohol use on coronary heart disease.
Sensor design and interaction techniques for gestural input to smart glasses and mobile devices

Touchscreen interfaces for small display devices have several limitations: the act of touching the screen occludes the display, interface elements like keyboards consume precious display real estate, and even simple tasks like document navigation - which the user performs effortlessly using a mouse and keyboard - require repeated actions like pinch-and-zoom with touch input. More recently, smart glasses with limited or no touch input are starting to emerge commercially. However, the primary input to these systems has been voice. In this paper, we explore the space around the device as a means of touchless gestural input to devices with small or no displays. Capturing gestural input in the surrounding volume requires sensing the human hand. To achieve gestural input we have built Mime [3] -- a compact, low-power 3D sensor for short-range gestural control of small display devices. Our sensor is based on a novel signal processing pipeline and is built using standard off-the-shelf components. Using Mime we demonstrated a variety of application scenarios including 3D spatial input using close-range gestures, gaming, on-the-move interaction, and operation in cluttered environments and in broad daylight conditions. In my thesis, I will continue to extend sensor capabilities to support new interaction styles.
The Impact of Unemployment Cycles on Infant and Maternal Health in Argentina

Argentina has had dramatic economic fluctuations over the past two decades including a short recession in 1995 and a major economic crisis between 1999 and 2002 that had devastating effects on the country’s economy by substantially increasing unemployment and poverty rates and devaluing the currency. The economic downturn began in late 1998 and intensified in 2001 and 2002, when Argentina’s GDP declined by over 4% and 10%, respectively, and unemployment rate increased to ~20% from ~10% in 1994 (Supplementary Figure 1). The substantial employment decline and savings loss increased the extreme poverty rate to 23% compared to 8% in 1998 (World Bank, 2015). By 2003, the economy turned back growing by over 8% and unemployment rate dropped below 10% in 2007. Extreme poverty dropped to 16% in 2003 and to 7% in 2006 (World Bank, 2015). Since 2014 however, Argentina has been experiencing another recession. Such dramatic economic fluctuations may impact population health especially for the most vulnerable population groups, including pregnant women and infants.
Policy Specification for SCADA Networks

Efforts to secure supervisory control and data acquisition (SCADA) systems must be supported under the guidance of sound security policies and mechanisms to enforce them. Critical elements of the policy must be systematically translated into a format that can be used by policy enforcement components. Ideally, the goal is to ensure that the enforced policy is a close reflection of the specified policy. However, security controls commonly used to enforce policies in the IT environment were not designed to satisfy the specific needs of the SCADA environment. This paper presents a language, based on the well-known XACML framework, for the expression of authorization policies for SCADA systems. Keywords—Access policy specification, process control systems, network security.
Cephalometric norms according to the Harvold´s analysis

The purpose of this study was to establish cephalometric norms by age and gender of Harvold´s analysis for people living in the central region of Mexico and compare them with other populations to found morphologic craniofacial differences. One hundred sixteen males and 125 females were studied. The participants were divided into age groups. The parents and grandparents of the participants were born in Mexico. All participants had class I occlusion with normal growth, facial symmetry, no crowding and no previous orthodontic, orthopedic or maxillofacial surgery treatment. Lateral skull x-rays were obtained; each radiograph was analyzed on with a Harvold-like analysis. For statistical evaluation, the Student t´ test was used to compare the age groups between males and females. Significant gender differences were found in the following measurements: maxillary position, mandible position, and the anterior lower facial height in all age groups. Differences were found in the cranial and dental positions with other races respect to facial growth. Because every gender and race have their own characteristics, it is appropriate to use correct cephalometric norms in daily orthodontic practice. It is suggested to use the analysis of Harvold in a complementary way when in diagnosing a patient there is doubt on the alterations in the maxillae. El proposito de este estudio fue establecer normas cefalometricas por edad y sexo de acuerdo al analisis de Harvold, para poblacion de la region central de Mexico y comparar estos patrones con otras poblaciones para encontrar diferencias en las caracteristicas morfologicas craneofaciales. 116 hombres y 125 mujeres conformaron el estudio, divididos por grupos de edad. Los padres y abuelos de los participantes eran originarios de Mexico. Todos los sujetos tenian clase I molar con un desarrollo normal, simetria facial, sin apinamiento y sin previo tratamiento ortodontico, ortopedico o cirugia maxilofacial. Se obtuvieron las radiografias laterales de craneo; cada una se examino de acuerdo al analisis cefalometrico de Harvold. Para el analisis estadistico, se aplico la prueba t' de Student para hacer la comparacion entre grupos de edad y sexo. Se encontraron diferencias significativas entre hombres y mujeres en los siguientes parametros: posicion maxilar, posicion mandibular y altura facial anteroinferior en todos los grupos de edad. Se demostraron diferencias en la posicion dental y craneal con otras razas, respecto al crecimiento facial. Cada genero y raza presenta sus caracteristicas propias, por lo que es apropiado utilizar normas cefalometricas adecuadas en la practica ortodontica diaria. Se sugiere utilizar el analisis de Harvold como auxiliar o complemento cuando existe duda en el diagnostico del paciente debido a alteraciones de los maxilares.
WIDE ANGLE BEAM PROPAGATION METHODS

Numerical methods for beam propagation are widely used for design and analysis of waveguides and devices. These methods directly give the total picture of the field as it propagates through a waveguide, which may have a very complicated structure involving several branches and variations in physical characteristics. Conventional methods are based on the Fresnel or paraxial approximation of the scalar wave equation and have, therefore, limited accuracy even for moderately angled beams. Several schemes have recently been proposed to treat wide-angle beam propagation [116]. In general, this would involve solving directly the wave equation, which involves a second order partial differential with z (the direction of propagation) as against the first order partial differential in the paraxial wave equation. All the methods for non-paraxial propagation discussed in the literature [1-16] approach this problem iteratively, involving a numerical effort equivalent to solving the paraxial equation several times (the actual number depends on the desired accuracy and the obliquity of the beam). Many of these methods neglect the backward propagating components and solve the one-way wave equation; but even methods that deal with bi-directional propagation suffer from the problem of non-conservation of energy as well as instability due to evanescent modes [6-9]. These methods include those based on the Padé approximants [2-9], Lanczos reduction [10-13] and Taylor expansion [1]. In all these methods, the square root of the propagation operator involved in the wave equation is approximated in various ways. We present here, an approach called the Split Step Non-Paraxial (SSNP) method that involves symmetrized splitting of the propagation operator into a sum of two operators. We present in this paper the method and its implementation in the collocation method as well as in the finite-difference (FD) method, and give some examples to show the applicability and accuracy.
Reasoning about Actions for Planning in Robotics

Sequential decision-making (SDM) plays a key role toward the development of artificial intelligence (AI) agents. SDM frequently requires the simultaneous capabilities of reasoning with world knowledge (including action knowledge) for state estimation, and planning to sequence actions toward maximizing long-term utilities. Although SDM requires both reasoning and planning capabilities, the study of the two problems has been largely separated within the AI community. We argue that:
Efficient Regression Tests for Database Applications

If you browse through the articles of www.junit. org, you will ﬁnd only one article that contains the word database in its abstract. This observation is shocking because, of course, testing is just as important for database applications as for any other application. The sad truth is that JUnit simply does not work for database applications, and there are no alternatives on the market place. The reason is that there are some fundamental issues in automatizing regression tests for database applications. This paper addresses one particular issue that arises from the fact that you change the state of a database application while you test it. When you observe a system, you change the system.
A system architecture for holonic manufacturing planning and control ( EtoPlan )

In this paper, we present the system architecture of a flexible manufacturing planning and control system, named EtoPlan. The concept is based on the holonic control approach of building multiple and temporary hierarchies (holarchies). This paper describes the system architecture for flexible planning and control of activities and (groups of) Resources in a manufacture-to-order environment. The system architecture consists of generic control modules that can be applied on different hierarchical levels and for different kinds of manufacturing activities. The main function of the Resource Controller is the Determine Applicability function. r 2002 Published by Elsevier Science Ltd.
Goal-Driven Learning: Fundamental Issues: A Symposium Report

implicit in the user’s choice of training examples); and they address the question of how to learn by applying a single, fixed learning method. Although such systems provide a useful test bed for examining individual learning mechanisms, they are inadequate for use as real-world learners. The problem is that realworld situations offer countless opportunities for learning, and each of these opportunities licenses the learning of infinitely many concepts, few of which are actually useful. Consequently, an indiscriminat e learning system will expend enor■ In AI, psychology, and education, a growing body of research supports the view that learning is a goal-directed process. Psychological experiments show that people with varying goals process information differently, studies in education show that goals have a strong effect on what students learn, and functional arguments in machine learning support the necessity of goalbased focusing of learner effort. At the Fourteenth Annual Conference of the Cognitive Science Society, a symposium brought together researchers in AI, psychology, and education to discuss goaldriven learning. This article presents the fundamental points illuminated at the symposium, placing them in the context of open questions and current research directions in goal-driven learning. Learning is a central area of study for researchers interested in human cog
Determinants of inflation in Iran based on Bayesian Model Averaging (BMA)

Due to the important influence of inflation on macro-economic variables, researchers pay tremendous amount of attention to its determinants. Accordingly, in the following research, the impact of 13 variables on inflation during the period of 1338-1391 by using Bayesian Model Averaging (BMA) method has been investigated for Iran economy. The ranking of the 13 explanatory variables are obtained based on the probability of their inclusion in model. The results show that the energy price and money imbalance (lagged ratio of money to nominal output) have expected and positive effect on inflation rate with a probability of 100 % and they are considered as the key explanatory variables in inflation equation. The energy price, money imbalance, money growth and market exchange rate growth have the first to fourth rank respectively. The influence of the production growth is not significant on the inflation in the short-run but it gradually influences the inflation through money imbalance channel in the long-run. In addition, most of the disinflation effects due to decrease in money supply will appear with delay. These results imply the dominance of monetary variables on inflation with cost push factors not having important impacts on prices. Also, oil revenue and imports influence the inflation through exchange rate channel, production and money velocity.
The notion of participatory democracy in relation to local ward committees : The distribution of power

Participatory democracy is a great challenge for democratic South Africa due to the lack of adequate knowledge of citizens about political operation locally and internationally. The service delivery protests and marches are a clear indication that participatory democracy is a great challenge in democratic South Africa. Craythorne (2006:36) declared that local government is of supreme importance in many instances. It is also the circle of government closest to all the people of South Africa and is constitutionally responsible for providing a series of services without which people would be forced to live in hopeless poverty and depression. Hence, the provincial and national government need to offer supervision, support, mentorship and assistance where necessary. The people, through their ward committees, need to inform the local government and politicians about their needs. The Integrated Development Plan (IDP) as well as the local, district, provincial and national government must be informed of the people’s needs. Throughout the article the focus will be on the following notions: democracy with special reference to the distribution of powers; the capacity of ward committee members to carry out their roles and responsibilities; and the theological standpoint on the distribution of powers.
O ct 2 01 0 Sampling Colourings of the Triangular Lattice

We show that the Glauber dynamics on proper 9-colourings of the triangular lattice is rapidly mixing, which allows for efficient sampling. Consequently, there is a fully polynomial randomised approximation scheme (FPRAS) for counting proper 9-colourings of the triangular lattice. Proper colourings correspond to configurations in the zerotemperature anti-ferromagnetic Potts model. We show that the spin system consisting of proper 9-colourings of the triangular lattice has strong spatial mixing. This implies that there is a unique infinitevolume Gibbs distribution, which is an important property studied in statistical physics. Our results build on previous work by Goldberg, Martin and Paterson, who showed similar results for 10 colours on the triangular lattice. Their work was preceded by Salas and Sokal’s 11colour result. Both proofs rely on computational assistance, and so does our 9-colour proof. We have used a randomised heuristic to guide us towards rigourous results.
Neurophysiological experimental facility for Quality of Experience (QoE) assessment

The human brain is the epicenter of every human action, thus neurophysiology will pave the way for understanding human behavior and cognition and their interplay with Quality of Experience (QoE). Recent advances in neurophysiological monitoring tools have allowed useful QoE constructs to be measured in real-time, such as human cognition, attention, emotion, fatigue, perception and task performance. In this paper, we describe a multimodal neurophysiological experimental facility recently implemented for QoE evaluation. A description of the facility and the available equipment is presented. Results of three recent studies are also presented, thus showing that neurophysiological correlates can be obtained for i) natural speech and ii) synthesized speech QoE perception, as well as iii) image preference characterization for multimedia QoE evaluation.