Miracle-dz/UniFAR-FTUs huggingface dataset:
Création automatique de dictionnaires bilingues d'entités nommées grâce à Wikipédia

Nous presentons ici une etude visant a exploiter la richesse lexicale de l'encyclopedie en ligne Wikipedia. Cette ressource contient des informations structurees et traduites dans de nombreuses langues, ce qui en fait un outil ideal pour la creation de dictionnaires bilingues. Nous nous focalisons ici sur un certain type d'entrees lexicales, appelees entites nommees, souvent composees de plusieurs mots. Celles-ci designent des notions comme des personnalites, des organisations, des lieux ou encore des dates. Un des buts de ce travail est l'aide a la traduction automatique, ici pour la paire de langues francais-anglais dans les deux sens, afin d'eviter des ecueils grossiers comme traduire « Bush » par « buisson » quand il s'agit d'un president.
Ergodic capacity of the exponentially correlated slotted amplify and forward relay channel

In this paper we analyze the performance degradation of slotted amplify-and-forward protocol in wireless environments with high node density where the number of relays grows asymptotically large. Channel gains between source-destination pairs in such networks can no longer be independent. We analyze the degradation of performance in such wireless environments where channel gains are exponentially correlated by looking at the capacity per channel use. Theoretical results for eigenvalue distribution and the capacity are derived and compared with the simulation results. Both analytical and simulated results show that the capacity given by the asymptotic mutual information decreases with the network density.
Time Synchronization Protocol for Wireless Sensor Networks with Node Monitoring

According to TPSN, it suffers from poor convergence, poor expansibility and poor robustness. This paper puts forward the ITPSN protocol, which makes the original single two nodes two-way messages exchange way into the third node monitor mode, greatly reduces the synchronous time, saves the time and energy for synchronization, adds the judgment of the node failure and treatment of node failure, and improves the robustness and expansibility. The simulation results show that ITPSN inherited TPSN’s low energy consumption, low average errors and can effectively reduce the time and energy needed for synchronization, strengthening its robustness.
Authentications for Internet of Things Security: Threats, Challenges and Studies

The Internet of Things (IoT) is attracting attention as the core technology with the development of the wireless network and the universal use of portable terminals. IoT provides high quality service to the user through various technology convergences that are based on smart devices to high performance. However, due to the vulnerabilities connected with complex technologies and problems with implementation methods, there are various security threats. Therefore, to provide the best service, it is necessary to construct a secure environment for security threats in the IoT. It also must be protected and managed the device via authentication or secure policies. In this paper, we describe the security threats, issue and consideration in IoT, and we examine authentication structure, lightweight technology, and key management. We also propose an authentication service scenario based on existing authentication technology and research. Finally, we present the development and research direction of Internet security technology to provide secure service.
Research on Industrial Policy from the Perspective of Demand-Side Open Innovation—A Case Study of Shenzhen New Energy Vehicle Industry

Nowadays, new energy vehicles play an important role in the transformation and upgrade of China’s energy security, energy conservation and other industries. At present, there are 26 pilot cities for the demonstration of new energy vehicles in China; however, the operation effect and experience of the pilot cities have been summarized less. This paper takes Shenzhen’s new energy vehicle industry policy as the object of research, in order to explore the impact of demand innovation on the development of new energy vehicles. This paper summarizes the three stages of Shenzhen’s new energy vehicle industry promotion, and further analyzes the policy and market environments of each stage by using the demand-side innovation policy theory. By reflecting on the concept of policy design, this paper proposes that decision makers need to cultivate open innovative thinking, and transform their production-oriented policy design into a demand-oriented policy design. This conclusion is helpful for pilot cities in order to adjust their policies over time according to the different stages of industrial development, and further improve the innovation and competitiveness of China’s new energy vehicle industry.
Experiments With Hand-tracking Algorithm in Video Conversations

This paper describes a simple colour-based object tracking plugin for the video annotation tool ANVIL. The tracker can be used to automatically annotate hand gestures or the movements of any object that is distinguishable from its background. The tracker records velocity duration and total travel distance of hand gestures and can be configured to display gesture direction. Results of the tracker are compared to manually created annotations for hand gestures. Data recorded by the tracker is not accurate enough to provide a complete alternative to manual annotation, but could rather be used as a basis for determining where hand gestures can be detected. Thus using the tracker in combination with a human annotator could significantly speed up the annotation process.
Algoritmos paralelos de reconstrucción de Imágenes TAC

In medicine, the diagnosis based on computer tomography (CT) imaging is fundamental for detection of abnormal tissues by different attenuation values on X-ray energy, which frequently are not clearly distinguished for the radiologist. Different methods have been developed to reconstruct images. In this work we analyze and make comparison between two methods of reconstruction: analytical and algebraic methods of reconstruction of images. Today, in practice, the reconstruction process is based on analytical methods and one of the most widely used algorithm is known as Filtered back projections (FBP) algorithm. This algorithm implements the inverse Radon transform, which is a mathematical tool used in Biomedical Engineering for the reconstruction of CT images. From the very beginning of the development of scanners, it was important to reduce the scanning time, to improve the quality of images and to reduce the reconstruction time of images. Today’s technology provides powerful systems, multiprocessor and multinuclear processor systems, that provide the possibility to reduce the reconstruction time. Among the analytical algorithms, the methods based on Fourier transform are well known. In this work we analyze the algorithm of reconstruccion of images from parallel projections based on the inverse Radon transform and its relation to the Fourier transform, with the aim to achive better performance while using resources of a system in an optimal way. This algorithm uses parallel projections, is simple, robust, and the results could be extended for a variety of situations. Algebraic methods are more suitable for the reconstruction from a limited number of projections in noisy conditions. Their usage may be important for the functionality of portable scanners in emergency situations. However, in practice, these methods are less used due to their high computational cost. In this work the reducction of the execution time is achieved by using the PETSc library in parallel reconstruction of images. We, also, compare the quality of the images reconstructed by analytical and algebraic methods from simulated and real projections. This comparison allows to make some conclusions on analytical and algebraic methods used in the reconstruction of the images.
A 2D Ray Tracing Method Based on the Virtual Source Tree in Urban Environment

In this paper, a new RT method for the calculation of radio coverage in urban environment using a virtual source tree, which is based on the numerical simulation of geometrical optics (GO) and the uniform theory of diffraction (UTD) and can solve some of the problems that other RT methods have, is presented. It is developed for two-dimensional (2-D) environments and can be applied to any complex propagation environment. It is fundamentally a point-to-point tracing method, so reception tests are not required and it guarantees high accuracy. To validate our RT method, signal path loss was calculated, and it was also compared with the published measurements. The results of the proposed method in this paper show good agreement with the measurements.
Elderly living with diabetes in Indonesia

Abstract: Background and purpose: Little is known about how elderly people with diabetes (Type 2) in Indonesia respond to and live with their disease. In this paper perceptions and actions of some elderly Indonesians in relation to living with their disease are reported. Methods: Convenience sampling was used. Elderly people with diabetes who volunteered to participate in a diabetes education program (offered as a trial in three community health centers in Indonesia) were recruited pre-education to attend a focus group interview and completed a demographic survey. Results: Participants (n=45) had a mean (SD) age of 60.78 years; 40% had experienced hospitalization (diabetes related) and 24.4% of participants had had hospitalizations because of blood glucose level (hypo/hyperglycemia). The focus group interview revealed that symptoms such as weight loss, fatigue and changes in vision had led to health assessments and diagnosis of diabetes. Participants reported having limited opportunities post-diagnosis to attend diabetes education programs. Because of these limitations and limited health professional support most of the participants had resorted to alternative medicine to manage their conditions. Alternative treatments used by the participants included herbal medicines; ion therapy, and ‘traditional’ medications. Conclusion: These findings suggest that there is need for systematic assessment of the knowledge and self–treatment strategies that elderly people in Indonesia may be using to manage their diabetes. Service gap analysis and the potential benefits of structured diabetes education programs for newly diagnosed elderly persons should be assessed. Keywords: Diabetes, Elderly, Developing Countries and Health Education Programs
The frequency of overweight, obesity and short stature among primary school students in three different regions of Turkey

Aim: The aim of this study was to examine the frequency of shortness, overweight and obesity among primary school students in three different regions of Turkey during the course of a program of medical screening in town and village schools located in the provinces of Istanbul, Igdir and Mugla. Material and Method: A total of 1,134 students were studied. These subjects were students of a village primary school in the district of Şile-Istanbul, 6 village schools in the district of Karakoyunlu-Igdir and another primary school in the district of Gocek-Mugla; they were reviewed in terms of short stature, overweight, and obesity. Results: It was seen in the study that a total of 116 (10.2%) of the children reviewed were below the third percentile in terms of height relative to age. In all of the regions analyzed, 123 children (10.8%) were found to be overweight, 60 (5.3%) were obese. The frequency of overweight by regions was 16.1% in Şile-Istanbul, 3.7% in Karakoyunlu-Igdir and 17.5% in Gocek-Mugla. Frequencies of obesity in the respective regions were 5.4%, 0.9%, and 10.1%. Conclusion: The frequency of shortness and obesity was found to differ in three different regions of Turkey. In assessing the frequency of short stature and obesity in Turkey, we believe it will be useful to review similarities and differences in socio-economic data separately for the various regions of the country.
PREVALENCE OF DEPRESSION AND ANXIETY SYMPTOMS IN FIRST ATTACK MYOCARDIAL INFARCTION PATIENTS OF MEWAR REGION: A CROSS SECTIONAL STUDY

Background: According to various studies psychiatric morbidities in post Myocardial Infarction (MI) patients increases the morbidity and mortality. Prevalence of psychiatric morbidities is important for to early intervention and to improve the quality of life. There is a paucity of research on Indian subjects and specially those of this area of south Rajasthan. Aim: To find out the prevalence of Depression and Anxiety following first attack of acute Myocardial Infarction. Method: 60 cases with an established diagnosis of first episode of acute MI were assessed in cardiac OPD by a cardiologist during follow up, after 2-3 months of attack and they were compared with 60 healthy controls. Results: 40% myocardial infarction patients were found to be suffering from depressive episode, 35% from anxiety symptoms and 16.6% from mixed anxiety & depressive symptoms. Severity of Depression and Anxiety also measured and findings were significantly associated with MI patients as compared to healthy controls. Conclusion: The high proportion of patients with MI found to be suffering from symptoms of depression and/ or anxiety two to three months after MI highlights the essential need to assess these symptoms in all such patients during the post - MI period as they merit appropriate treatment along with that of MI.
Fast Human Detection in Surveillance Video

In this paper we are proposing a fast and efficient algorithm to track humans in a indoor surveillance video. Here we have used hog features and correlation based method to track humans in a surveillance video. Strips on the borders of a frame is analyzed to know the entry of new objects in to the frame. This algorithm can applied to real time systems due to the low time complexity of the system. Keywords - Image correlation, human tracking, hog features.
Performance of Multi-Criterion Acquisition Sensor Systems

This paper addresses the performance of sensor systems that automatically recognize, acquire, and commit resources to objects in accordance with an external cue. Such capability is of utility in remote sensing, surveillance, fire control, and missile systems. Object acquisition is posed as a task of selecting from among multiple detected objects based on the consistency of their sensed position, velocity, and signature with that of an external target cue. The probability of correct acquisition/selection is formulated as an order statistic of a joint discriminant that fuses these multiple features. Special cases are evaluated for several object selection rules to provide system level performance as a function of subsystem performance parameters such as position and velocity estimation accuracy, detection and false alarm rates, and automatic target recognition (ATR) performance for the acquisition sensor. The effect of deferred commitment (i.e. selection of the K≠1 best ranking candidates) is modeled. A performance estimation and target information gain/loss accounting approach is presented. System performance modeling is thereby reduced to simple spreadsheet calculations that include loss tables for non-ideal effects. Monte Carlo simulations verify that the superposition of gain and loss factors accurately approximates performance over a broad range of parameters.
Mitoanálisis e ideología de la publicidad

Se propone un nuevo modo de contemplar la publicidad, no ante todo como mensajes comerciales, ni siquiera como instrumento al servicio de la ideología capitalista, sino como medio portador de un metamensaje trascendente, encriptado bajo formas aparentemente triviales. Se propone un camino hermenéutico al servicio del descubrimiento de una serie de estructuras teméticas, que permanecen constantes, bajo el diverso fluir de formas expresivas y productos, entre las cuales el autor destaca la definición mítica de la.mujer, la parodia sacral, la presencia de seres extranaturales, la magia, la inversión sujeto-objeto, y el ejercicio de una inmisericorde sátira social.
Securing Cloud Data Under Key Exposure

Recent news reveal a powerful attacker which breaks data confidentiality by acquiring cryptographic keys, by means of coercion or backdoors in cryptographic software. Once the encryption key is exposed, the only viable measure to preserve data confidentiality is to limit the attacker's access to the ciphertext. This may be achieved, for example, by spreading ciphertext blocks across servers in multiple administrative domains—thus assuming that the adversary cannot compromise all of them. Nevertheless, if data is encrypted with existing schemes, an adversary equipped with the encryption key, can still compromise a single server and decrypt the ciphertext blocks stored therein. In this paper, we study data confidentiality against an adversary which knows the encryption key and has access to a large fraction of the ciphertext blocks. To this end, we propose $\mathrm{Bastion}$ Bastion , a novel and efficient scheme that guarantees data confidentiality even if the encryption key is leaked and the adversary has access to almost all ciphertext blocks. We analyze the security of $\mathrm{Bastion}$ Bastion , and we evaluate its performance by means of a prototype implementation. We also discuss practical insights with respect to the integration of $\mathrm{Bastion}$ Bastion in commercial dispersed storage systems. Our evaluation results suggest that $\mathrm{Bastion}$ Bastion is well-suited for integration in existing systems since it incurs less than 5 percent overhead compared to existing semantically secure encryption modes.
DSML success factors and their assessment criteria

Over the past few years, a number of Domain Specific Modeling Languages (DSMLs) have been developed, and their use has increased in approaches such as Model Driven Engineering (MDE), software factories and even MDA (Model Driven Architecture). However, developing a DSML is still a challenging and time-consuming task. Issues to tackle include the DSML development process, DSML quality and DSML model verification and validation (V&V). Therefore, techniques and solutions are needed to make DSML development easier and more accessible to software developers and domain experts. This paper recommends a list of success factors to consider when developing or choosing a DSML for those developing it, and for software developers and domain experts interested in using it. The paper then maps these success factors to a set of assessment criteria that can be used to assess DSML quality.
Associação entre a Doença Periodontal e Doenças Sistêmicas Crônicas - Revisão de Literatura

A doenca periodontal vem sendo associada crescentemente como fator coadjuvante e, ate mesmo, precursor de algumas doencas sistemicas. Assim foi objetivo deste artigo analisar por meio de revisao de literatura, os possiveis mecanismos envolvidos na etiopatogenese da doenca periodontal que sao comuns a doencas sistemicas da atualidade como a obesidade, aterosclerose, diabete e artrite reumatoide. Os artigos analisados estavam dentro do periodo de publicacao do ano de 2006 a 2011 e foram pesquisados nas bases de dados PubMed, LILACS e Scielo. De um total de 907 artigos encontrados por meio da busca dos indexadores e suas associacoes, foram selecionados pelos criterios de inclusao 93 artigos. Para a confeccao da presente revisao de literatura, apenas 24 artigos foram selecionados por serem baseados em mecanismos inflamatorios, metabolicos e infecciosos, onde se encontram as consideracoes mais solidas para as associacoes na literatura. A presente revisao de literatura reforca a associacao da doenca periodontal com as doencas sistemicas analisadas devido a presenca de mecanismos inflamatorios e imunologicos semelhantes e em sinergismo entre ambas as doencas, porem algumas hipoteses levantadas ainda necessitam de maiores esclarecimentos. O profissional deve se ater as recentes associacoes descobertas para promover tratamento periodontal na prevencao do desenvolvimento das doencas sistemicas, bem como na manutencao da saude sistemica de pacientes ja portadores de doencas sistemicas cronicas. Palavras chave : Doenca Periodontal; Aterosclerose; Obesidade; Diabete Melito; Artrite Reumatoide.
SAL-Hashing: A Self-Adaptive Linear Hashing Index for SSDs

Flash memory based solid state drives (SSDs) have emerged as a new alternative to replace magnetic disks due to their high performance and low power consumption. However, random writes on SSDs are much slower than SSD reads. Therefore, traditional index structures, which are designed based on the symmetrical I/O property of magnetic disks, cannot completely exert the high performance of SSDs. In this paper, we propose an SSD-optimized linear hashing index called Self-Adaptive Linear Hashing (SAL-hashing) to reduce small random-writes to SSDs that are caused by index operations. The contributions of our work are manifold. First, we propose to organize the buckets of a linear hashing index into groups and sets to facilitate coarse-grained writes and adaptivity to access patterns. A group consisting of a fixed number of buckets is proposed to transform small random writes to buckets into coarse-grained writes and in turn improve write performance of the index. A set consists of a number of groups, and we propose to employ different split strategies for each set. With this mechanism, SAL-hashing is able to adapt to the changes of access patterns. Second, we attach a log region to each set, and amortize the cost of reads and writes by committing updates to the log region in batch. Third, in order to reduce search cost, each log region is equipped with Bloom filters to index update logs. We devise a cost-based online algorithm to adaptively merge the log region with the corresponding set when the set becomes search-intensive. Fourth, we propose a new technique called virtual split to optimize the search performance of SAL-hashing. Finally, we propose a new scheme for the management of the log buffer. We conduct extensive experiments on real SSDs. The results suggest that our proposal is self-adaptive according to the change of access patterns, and outperforms several competitors under various workloads.
Benzodiazepines in the treatment of movement disorders

HYPERKINETIC movement disorders are characterized by involuntary, abnormal, or excessive movements. Each type of movement may be associated with several different diseases, and combinations of movement types are common (eg, tremor and myoclonus may occur with dystonia). Moreover, dysfunction in a variety of sites in the nervous system may result in the same symptom (eg, myoclonus, chorea, or tremor). Because of these complex interactions, understanding the physiological and pharmacological basis of movement disorders is difficult. Despite incomplete knowledge, many hyperkinetic symptoms can be effectively treated. Benzodiazepines play a role in the treatment of many movement disorders. In tics and myoclonus, they play a major role. Although in dystonic syndromes benzodiazepines benefit a minority of patients, they may contribute significantly to the quality of life. In conditions such as essential tremor (ET), chorea, tardive dyskinesias and other disorders, the role of benzodiazepines is controversial. The treatment strategies for several movement disorders in which benzodiazepines play an important role are outlined below.