Miracle-dz/UniFAR-FTUs huggingface dataset:
Un algoritmo simple y eficiente para la clasificación automática de páginas web

Este artı́culo propone un simple pero eficiente clasificador de páginas Web basado en la frecuencia de términos. La simplicidad está dada por el uso de un conjunto pequeño de términos para describir cada clase, mientras que la eficiencia es alcanzada mediante embolsamiento. El uso de atributos simples como la frecuencia de términos también reduce la complejidad de los algoritmos de preprocesamiento y extracción de caracterı́sticas. Sin embargo, un problema de usar propiedades dependientes de los términos incluidos en cada página es la selección de la descripción de términos correspondiente para cada una de las clases. En este trabajo, la selección de términos para cada clase se basa en el coeficiente TFIDF, mientras que el enbolsamiento utiliza clasificadores probados como redes neuronales y algoritmos bayesianos. Los resultados de nuestra evaluación muestran un clasificador sumamente rápido con una exactitud superior al 83 %.
IMPROVED UNDERSTANDING OF EFFECTS OF SOIL SATURATION ON SPECTRAL INDUCED POLARIZATION

OF THE DISSERTATION . II ACKNOWLEDGEMENT . III TABLE OF CONTENTS . V LIST OF TABLES . VI LIST OF ILLUSTRATIONS . VII INTRODUCTION . 1 ELECTRICAL PROPERTIES . 4 HYDRAULIC THEORY . 9 METHODS . 10 SAMPLE COLLECTION AND COLUMN CONSTRUCTION . 10 MULTI-STEP OUTFLOW EXPERIMENT . 14 ARCHIE EXPERIMENT . 16 RESULTS . 17 REAL CONDUCTIVITY . 21 IMAGINARY CONDUCTIVITY . 26 DISCUSSION . 27 CONCLUSION . 31 REFERENCES . 32 CURRICULUM VITAE . 38
Assessment of fatigue in patients with a permanent cardiac pacemaker: prevalence and associated factors

Introduction Fatigue is a debilitating symptom of subjective nature which lacks effective therapy. The aim of the study was to assess levels of fatigue and the associated factors among patients with permanent cardiac pacemaker (PCM). Material and methods This was a cross-sectional study carried out in Athens. The study sample consisted of 250 patients with a PCM. Results Data indicated moderate to low levels of fatigue. Furthermore, women (median: 24, p = 0.001), those with primary school education (median: 21, p = 0.001), those who were “a little-not at all” informed about PCM (median: 31, p = 0.001), those who had someone to help them in daily activities (median: 23, p = 0.001), those who did not believe that PCM solved their cardiac problem (median: 36, p = 0.001), and those who did not believe that their quality of life was improved (median: 35, p = 0.001) had high levels of fatigue. Moreover, high levels of fatigue were felt by those who characterized themselves as anxious and those who reported to be very anxious about their heart rate and the proper function of PCM (medians: 21.5, 25 and 25 respectively). Additionally, more fatigue was felt by participants who did not smoke after implantation and did not exercise at all (medians: 20 and 24 respectively). Finally, older patients felt more fatigue (rho = 0.248) while the later the implantation device was inserted the more fatigue the patients felt (rho = 0.274). Conclusions The present results will help clinicians to acquire an in-depth knowledge of factors associated with fatigue after implantation.
Reducing Complexity and Achieving Higher Energy Efficiency in Wireless Sensor Network Communications by Using High Altitude Platforms

In this chapter, a novel approach is explored to employ high-altitude platforms (HAPs) to remove the relaying burden and/or de-centralize coordination from wireless sensor networks (WSNs). The approach can reduce the complexity and achieve energy efficiency in communications of WSNs, whereby applications require a large-scale deployment of low-power and low-cost sustainable sensors. The authors review and discuss the main constraints and problems of energy consumptions and coordination in WSNs. The use of HAPs in WSNs provides favorable communication links via predominantly line of sight propagation due to their unique position and achieves benefits of reduced complexity and high energy efficiency, which are crucial for WSN operations.
Economics of extreme weather events in cities: Terminology and regional impact models

Impacts of extreme weather events are relevant for cities in many aspects. Cities are the cores of economic activity and the amount of people and assets endangered by extreme weather events is large, even under the current climate. A changing climate with changing extreme weather patterns and the process of urbanization will make the whole issue even more relevant in the future. In this paper, definitions and terminology in the field of extreme weather events are discussed. Possible impacts of extreme weather events on cities are collected and the human influences are emphasized. Economic impacts are discusses along a temporal and a sectoral dimension. Finally, common economic impact models are compared, analyzing their strengths and weaknesses.
Disturbance Observer-Based Motion Control For A Simple Direct Drive System

Direct drive system is the driving part that is directly connected to the driven part without using a gearbox. The advantages of direct drive system are frictionless, high efficiency, noise reduction and high torque, produced at low speed. However, the direct drive motor system has its limitation, which is sensitive to the disturbance and parameter variation. In this paper, a proportional derivative controller with disturbance observer (PDDO) is designed to achieve high positioning performance of the direct-drive system in the presence of mass and disturbance force variations. The direct-drive system in this paper is driven using voice coil motor. The disturbance observer controller is relatively easier to design than the other advanced controllers and often shows higher robust to the disturbance force and model parameter change, as compared to the conventional controller. The positioning performance of PDDO controller is evaluated and compared with a PID controller, which is designed to have similar sensitivity as the PDDO control. The positioning performance of the controllers is examined in the presence of different mass and disturbance force. Overall, the PDDO has demonstrated better robust performance as compared to the PID controller.
Hyperbaric oxygen therapy attenuates neuronal apoptosis induced by traumatic brain injury via Akt/GSK3β/β-catenin pathway

Background Given that the therapeutic effect of hyperbaric oxygen (HBO) therapy on traumatic brain injury (TBI) has been debated for a long time, it is necessary to clarify the mechanism underlying the effect of HBO on acute TBI. Methods This study investigated the effect of HBO therapy on neuronal apoptosis induced by acute TBI using the mouse model of TBI. The number of apoptotic cells and expression of apoptosis-associated factors (including caspase 3, pAkt/Akt, pGSK3β/GSK3β, and β-catenin) in pericontusional cortices of mice exposed to sham, TBI, and TBI + HBO treatment were measured and analyzed using TUNEL assay, quantitative reverse-transcription PCR, and Western blot. Results Results showed that acute TBI increased the number of apoptotic neurons and mRNA expression and activated caspase 3 protein. With regard to proteins, acute TBI also resulted in decreased levels of pAkt/Akt, pGSK3β/GSK3β, and β-catenin, which facilitates neuronal apoptosis. This study shows that HBO therapy reversed these changes of pAkt/Akt, pGSK3β/ GSK3β, and β-catenin induced by acute TBI and attenuated the apoptotic process in the pericontusional cortex. Conclusion This study demonstrates the beneficial effect of HBO therapy on neuronal apoptosis caused by acute TBI. Furthermore, the mechanism underlying the therapeutic effect of HBO on acute TBI partly involves the Akt/GSK3β/β-catenin pathway.
Anomaly Detection Systems for Distributed Denial of Service Attacks

Distributed Denial of Service (DDOS) attacks persist and are growing stronger. According to the latest data, 2016 has seen DDOS attacks which were large in both frequency and size [1]. DDOS attacks have been investigated extensively and various countermeasures have been proposed to protect networks from these attacks. However, DDOS is still considered to be the major threat to current networks and there is a need for Anomaly Detection Systems (ADSs) to accurately detect DDOS attacks. Furthermore, network traffic now has significant Peer to Peer (P2P) traffic. P2P traffic in Europe accounts for more than a quarter of all bandwidth, and 40 percent of all packets sent. Previous work has shown that P2P traffic can have a negative impact on the accuracy of ADSs. A P2P traffic preprocessor was proposed in [2] to compensate for the adverse impact of P2P traffic on ADSs. In this project, two well-known anomaly detectors, namely Network Traffic Anomaly Detector (NETAD) and Maximum Entropy Anomaly Detector (MaxEnt), are evaluated with and without this P2P traffic preprocessor for the detection of DDOS attacks. Performance of these ADSs has also been evaluated for the detection of TCP and UDP flood Denial of Service (DOS) attacks. Results are presented which show that using this P2P traffic preprocessor improves the ability of these ADSs to detect attacks.
Embodying Latent Requirements with Unexperienced Attractions through Selection of Travel Point Photographs

—People who want to travel search for travel points satisfying their travel requirements. They search for travel points such that they feel attractions to fulﬁll the requirements. They want to search for them easily and quickly. In recent years, there are many people who use the Internet to collect information on travel points. They use the Internet because they can collect the information on the travel point anytime and anywhere. On the other hand, there are various kinds of information on a lot of travel points on the Internet. Users have to embody conditions to specify the travel point they want to visit. True pleasures of travels are to experience what they have never experienced. Requirements for travel points to seem to be attractive are quite unclear. For the recommendation of travel points, people want a tool to embody easily and quickly the conditions specifying the travel point they want to visit. Current search engines for travel points on the Internet utilize the user based collaborative ﬁltering from travel histories of travelers. However, they cannot grasp what latent requirements travelers have and what kinds of attraction they expect, because they analyze travel histories. The paper proposes a recommendation method which enables users to embody each potential requirement for their travel beforehand. The method utilizes photographs of travel points to infer what latent travel requirement users have and what kinds of attractions they expect to fulﬁll the latent requirements. An experiment has proved that almost two thirds of subjects are satisﬁed with travel points recommended using this method. Furthermore, the method allows all of the subjects to decide on travel points they want to visit in a shorter time than the method they usually use.
Estudo Exploratório acerca do Abandono Escolar no Ensino Artístico Especializado (Regime Supletivo)

This article addresses the pupils’ dropout in vocational music education and was conducted at the Conservatory – School of Arts of Madeira (Portugal), using quantitative research methods. Different questionnaires were administered to participating groups (pupils, parents, teachers) and were statistically processed, in order to try to respond to the goals of the study: 1) analyse the related causes for enrolment into Specialized Artistic Education courses in music; 2) identify possible correlations between the variables; 3) understand how much the enrolment into Specialized Artistic Education is based upon vocational self-determination of the pupil; 4) relying on the analysis of main reasons for dropping out, identify primary intervention areas and the factors conducive to maintaining the enrolment in this artistic area. The discussion of these objectives results in some recommendations on improving the continuation rate of pupils in Specialized Artistic Education.
Anti-spam filters based on support vector machines

In this paper,we use support vector machine(SVM)as the spam filter.We study how classification error rate is affected when using different subsets of corpora,and explore the filters’accuracy when using SVMs with linear,polynomial,or RBF kernels.We also investigate the effect of the size of attribute set.Furthmore,we describe the architecture of the SVM-based anti-spam filter.Based on our experimental results and anlysis,we conclude that the SVM will be a very good alternative used to build anti-spam classifier,considering agood combination of accuracy,consistency,and speed.
THE LIQUIDITY AND INFORMATIONAL EFFICIENCY IN STOCK AND BOND MARKET

This paper was taking a first step toward an integrated approach to stock and bond liquidity and informationalefficiency. We drew from the literature to develop comprehensive understanding about liquidity and informationevent in stock and bonds market. We used variables from Chordia, et al. (2005), to explore cross-marketliquidity dynamics by estimating a vector regressive model for liquidity such as bid-ask spread and depth,returns, volatility, and order flow in the stock and Treasury bond markets. We analyzed the work fromHotchkiss, et al. (2002) to find the informational efficiency of corporate bond prices. It was similar to that of theunderlying stocks. The central contribution of this paper was to reveal the possibility in applying this kind ofresearch in Indonesian market.
A Case of Primary Aldosteronism Due to A Primary Adrenal Adenoma Diagnosed by Segmental Adrenal Venous Sampling (S-AVS) Using a Modified Catheter System and Lateral Cine Angiography

Patient: Male, 44 Final Diagnosis: Aldosterone producing adenoma Symptoms: Hypertension Medication: — Clinical Procedure: Segmental adrenal venous sampling Specialty: Cardiology Objective: Unusual clinical course Background: Before partial adrenalectomy for primary aldosteronism due to a primary adrenal adenoma, the aldosterone-producing tumor can be localized by segmental adrenal vein sampling (S-AVS). Cardiologists, who regularly perform percutaneous coronary intervention (PCI), or coronary angioplasty with stent, may not be familiar with the technique of S-AVS. A case of the use of S-AVS is reported in a patient who presented with primary aldosteronism and a right adrenal adenoma. Case Report: A 44-year-old man with a history of hypertension presented with a man in the posterior part of the right adrenal gland. He had hypokalemia, and a high plasma aldosterone concentration/plasma renin activity ratio. A captopril stress test confirmed the diagnosis of primary aldosteronism. Pre-operative S-AVS was performed using a microwire and microcatheter, which were advanced into the segmental adrenal vein using a 6.5 French guiding catheter and a Y-shaped connector, under biplane cine angiography guidance. S-AVS showed a high plasma aldosterone concentration in the right superior tributary adrenal vein draining the adrenal mass. Right partial adrenalectomy was performed. Postoperatively, the patient’s blood pressure and plasma aldosterone levels normalized. Conclusions: S-AVS can be performed relatively easily before partial adrenalectomy using a catheter system with biplane cine angiography, which is a technique that is familiar to cardiologists.
Multiword expressions and the digital turn

Increasingly the target language input that second language learners are exposed to is digital. This chapter traces some of the implications of this digital turn for the learning of multiword expressions. The underlying question being addressed in the chapter is what sorts of digital resources and tools can foster learners’ mastery of multiword expressions. First, it is shown how multiword expressions pose a fundamentally different acquisition challenge for learners who rely primarily on textual input compared to those who depend mainly on spoken input. Unlike most literature on the acquisition of multiword expressions, the chapter then concentrates on the challenge to the text-oriented learner. The limitations of traditional paper and ink lexical resources are described in terms of three qualities: they are static, centralized, and passive. The significance of the digitalization of these resources (for example, machine-readable dictionaries) is analyzed then through the lenses of these three qualities. Finally, the nature of the Web as a massive, noisy digital archive is taken as an environment for embedding a radically different sort of lexical resource for learning multiword expressions, one that is dynamic, distributed, and active. An existing tool that exemplifies this alternative, called Collocator, is described in terms of these qualities.
Skin marks in bottlenose dolphins (Tursiops truncatus) interacting with artisanal fishery in the central Mediterranean Sea

Skin marks occur frequently in many cetacean species across the globe revealing a broad spectrum of causes, including social interactions, infectious diseases and injuries produced by anthropogenic factors. The current study used photo-id data from 2005–2014 to estimate the skin mark pattern on resident bottlenose dolphins (Tursiops truncatus) from the Aeolian Archipelago (Italy). Thirteen skin mark types were identified and their origin, prevalence and permanence time were examined. The pattern of skin marks was assessed for the abundance, richness, distribution and severity in six body regions and compared among age classes, sex and degree of dolphins’ interaction with trammel nets (DIN). Our results showed higher prevalence, abundance, richness and distribution of skin marks in adults than in the younger age classes, with the exception of black marks and white ring lesions. The prevalence and abundance of skin marks were higher in males than females, with the exception of scratches and white patches. Moreover, gunshot wounds, mutilations and irregular dorsal fin edges were found only on adult males. Since males showed higher DIN than females and, in dolphins with higher DIN, skin marks were more abundant and frequently distributed in different body regions, the skin mark pattern in regard to DIN seems to be sex-related. The more severe marks were observed on adults, males and dolphins with higher DIN, namely skin disorder, tooth rake marks, small shallow indentations, deep indentations and mutilations. On the contrary, the severity of scratches, white patches and dark ring lesions was higher in females than males, but not significantly related to DIN and age of the individuals. Our results showed that photo-id data provide an efficient and cost-effective approach to document the occurrence of skin marks in free-ranging bottlenose dolphin populations, a critical step toward understanding the cause and supporting the conservation strategies.
PageFile: The Return of Classical Page Storage Structure on MapReduce Framework

The MapReduce framework has been applied on many researches and proved to be distinguished for processing large scale of data in the last decade. However, it was mostly used to manage unstructured and semi-structured data, and abandoned the classical page storage structure in many MapReduce-based database systems. Therefore, current MapReduce systems didn't take much care on massive structured data. In this paper, we proposed PageFile, a hybrid page-based storage structure on MapReduce framework. It has faster query processing, better disk space utility compared to Hive's RCFile. Moreover, we created a ＂multiple reduced B-Trees＂ structure based on PageFile, which performs excellent on single column values or small-ranged queries.
New benchmark for image segmentation evaluation Feng Ge

Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundamental conflict between generality and objectivity: For general-purpose segmentation, the ground truth and segmentation accuracy may not be well defined, while embedding the evaluation in a specific appli- cation, the evaluation results may not be extensible to other appli- cations. We present a new benchmark to evaluate five different im- age segmentation methods according to their capability to separate a perceptually salient structure from the background with a relatively small number of segments. This way, we not only find a large variety of images that satisfy the requirement of good generality, but also construct ground-truth segmentations to achieve good objectivity. We also present a special strategy to address two important issues underlying this benchmark: (1) most image-segmentation methods are not developed to directly extract a single salient structure; (2) many real images have multiple salient structures. We apply this benchmark to evaluate and compare the performance of several state-of-the-art image segmentation methods, including the normalized-cut method, the watershed method, the efficient graph- based method, the mean-shift method, and the ratio-cut method.
TEAM: Virtual Synchronized File-based Transparent and Privacy-Enhanced Storage System

Under the revised personal information security law in Korea, users may face inconvenience with managing privacy files. This paper proposes a privacy protection system, called TEAM, enhanced with a ‘Virtual Synchronized File’ concept, which keep convenience by providing users with a transparent user experience, while complying with the personal information security law. The proposed system periodically detects and compresses files containing personal information and encrypts them. The encrypted files are transmitted to a remote storage server. Then the client PC replaces the original privacy file with a Virtual Synchronized File termed VSF. From the users’ perspective, the VSF alleviates the inconveniences and maximizes efficiency of personal information management as it (1) allows the users to access to the privacy files in a transparent manner in comparison to an access scheme for a normal document file; (2) internally performs encryption/decryption for the file; and (3) separately stores the files with minimized users’ interventions. Consequently, TEAM makes it possible to comply with the law while providing users with transparent user experience.
Selected Examples of Applications of New Graphics and Animation Technologies

Abstract In recent years there has been a marked increase in the competitiveness of some very interesting (user) applications software within the field of computer graphics and animation. This paper presents an analysis of selected examples of the use of graphic applications software designed for professional use within various areas of human activity, and also focusses on the potential for further development of this software. Graphic applications software that makes use of motion capture, performance capture, time-lapse, morphing, Augmented Reality and the use of avatars in human-computer communication has become increasingly popular, cheap and simple.
Optimising RECIST reading using dedicated software

Poster: "ECR 2014 / B-0142 / Optimising RECIST reading using dedicated software" by: "A. Rene1, S. Aufort2, S. A. Si-mohamed2, B. Gallix1; 1Montpellier/FR, 2Castelnau-Le-Lez/FR"