Miracle-dz/UniFAR-FTUs huggingface dataset:
Infraestrutura para o desenvolvimento de aplicações pervasivas cientes de redes sociais.

Os ultimos anos tem sido caracterizados pela popularizacao do acesso a Internet, extraordinario avanco das tecnologias de comunicacao sem ﬁo e massiﬁcacao dos dispositivos moveis no mercado consumidor. Esse cenario vem se mostrando propicio para a viabilizacao do paradigma de Computacao Pervasiva e o surgimento de aplicacoes para esse dominio. Ainda, esse avanco motivou o surgimento das Redes Sociais Moveis, resultantes da integracao entre o paradigma de Computacao Pervasiva com os servicos sociais da web 2.0. As solucoes existentes no desenvolvimento de aplicacoes para Redes Sociais Moveis nao fornecem suporte a requisitos importantes desse dominio: (i) suporte a execucao de servicos e acesso as informacoes de contexto social e de localizacao dos usuarios; (ii) integracao com as Redes Sociais Online para construcao de Redes Sociais Moveis;(iii) conhecimento previo sobre quem sao os amigos diretos e indiretos dos usuarios, e; (iv) conhecimento em tempo real da localizacao dos usuarios. Neste trabalho apresenta-se uma infraestrutura para o desenvolvimento de aplicacoes para Redes Sociais Moveis que disponibiliza o conjunto de funcionalidades anteriormente enumeradas. Como contribuicao principal, tambem e disponibilizado um modulo para processamento distribuido das conexoes sociais, representando os amigos diretos e indiretos dos usuarios. A avaliacao do trabalho constituiu-se do desenvolvimento de um estudo de caso e realizacao de simulacoes que demonstram o suporte da infraestrutura para o desenvolvimento de aplicacoes e a escalabilidade do modulo proposto.
CPOE System Design Aspects and Their Qualitative Effect on Usability

Although many studies have discussed the benefits of Computerized Provider Order Entry (CPOE) systems, their configuration can have a great impact on clinicians' adoption of these systems. Poorly designed CPOE systems can lead to usability problems, users' dissatisfaction and may disrupt normal flow of clinical activities. This paper reports on a literature review focused on the identification of CPOE medication systems' design aspects that impact CPOE systems' usability and create opportunities for medication errors. Our review is based on a systematic literature search in PubMed, EMBASE and Ovid MEDLINE for relevant publications from 1986-2006. We categorized the design aspects extracted from relevant publications into six different groups: 1) timing of alerts, 2) log in/out procedures, 3) pick lists and drop down menus, 4) clues and guidelines, 5) documentation and data entry options, and 6) screen display and layout. Our review shows that the manner in which a CPOE system is configured can have a high impact on ease of system use, task behavior of clinicians in ordering drugs, and medication errors. Characterization of consequences associated with certain CPOE design aspects provides insight into how CPOE system designs can be improved to enhance physicians' adoption of these systems and their success. Recommendations are provided to enable CPOE system designers to create CPOE systems that are not only more user friendly and efficient but safer.
ADEPTS : Adaptive Intrusion Containment and Response using Attack Graphs in an E-Commerce Environment

Distributed e-commerce systems are suitable targets for malicious attacks because of the potential financial impact. Intrusion detection in such systems has been an active area of research. Once an intrusion is detected, it is important to contain the effect of the intrusion to some parts of the system while allowing the other parts to continue to provide service. It is also important to take preventive or reactive response to reduce the likelihood of the system being compromised through a future attack. In this paper, we present the design and implementation of an Adaptive Intrusion Tolerant System, ADEPTS, for automatically containing and responding to intrusions in a distributed e-commerce system. We use a directed acyclic graph (DAG) of intrusion goals as the underlying representation in the system. In an I-DAG, the nodes are sub-goals of an attack and to reach a particular node, goals corresponding to its child nodes have to be achieved first. We assume an intrusion detection framework which provides alerts to ADEPTS. In response, a parallel algorithm is executed to compute the likelihood that one or more goals in the DAG have been achieved. Next, a response measure computation algorithm is executed to determine the appropriate response action. There is also a feedback mechanism which estimates the success or failure of a deployed response and uses that in adjusting the system weights to guide future choices. ADEPTS is implemented on a distributed e-commerce system that comprises services including, web server, application server, database server, directory server. Alerts are simulated corresponding to different attack types, the algorithms executed and response actions deployed. The experiments bring out the latency of the infrastructure, and the effectiveness in dealing with failed responses through escalation compared to statically mapped Intrusion Response Systems (IRS).
A Simple and Efficient Solution to Remote User Authentication Using Smart Cards

The password based authentication schemes are commonly used for authenticating remote users. Many password based schemes both with and without smart card have been proposed; each scheme has its merits and demerits. In this paper we propose an efficient scheme for remote user authentication which does not maintain verifier table and allows the user to freely choose and change their passwords. Also the proposed scheme achieves mutual authentication which is essential for many applications. The scheme is secure against id theft, guessing attack, insider attack, stolen verifier attack, replay attack, impersonation attack, and reflection attack
ICT-Based Fall Prevention System for Older Adults

Falls and their consequences are arguably most important events for transition from independent living to institutional care for older adults. Information and communication technology (ICT)-based support of fall prevention and fall risk assessment under the control of the user has a tremendous potential to, over time, prevent falls and reduce associated harm and costs. Our research uses participative design and a persuasive health approach to allow for seamless integration of an ICT-based fall prevention system into older adults’ everyday life. Based on a 6-month field study with 12 participants, we present qualitative results regarding the system use and provide insights into attitudes and practices of older adults concerning fall prevention and ICT-supported self-management of health. Our study demonstrates how it can lead to positive aspects of embodiment and health literacy through continuous monitoring of personal results, improved technical confidence, and quality of life. Implications are provided for designing similar systems.
Rapid identification of Skype traffic flows

In this paper we present results of experimental work using machine learning techniques to rapidly identify Skype traffic. We show that Skype traffic can be identified by observing 5 seconds of a Skype traffic flow, with recall and precision better than 98%. We found the most effective features for classification were characteristic packet lengths less than 80 bytes, statistics of packet lengths greater than 80 bytes and inter-packet arrival times. Our classifiers do not rely on observing any particular part of a flow. We also report on the performance of classifiers built using combinations of two of these features and of each feature in isolation.
A Hybrid Feature Selection Approach for Arabic Documents Classification

Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their content. Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge number of features. Feature selection tries to find a set of relevant terms to improve both efficiency and generalization. There are two main approaches for feature selection, local and global. In Arabic text categorization it was found that using global feature selection gives higher results but may affect some documents in a way so that they do not show any terms in the set of selected features. On the other hand local feature selection is used to overcome this problem but gives lower classification rate. In this paper a hybrid approach of global and local feature selection technique is proposed and compared with both local and global feature selection techniques. Results are reported on a set of 1132 document of six different topics showing that the proposed hybrid feature selection overcome the disadvantages of both of feature selection approaches.
Learning discriminative spatial representation for image classification

Spatial Pyramid Representation (SPR) [7] introduces spatial layout information to the orderless bag-of-features (BoF) representation. SPR has become the standard and has been shown to perform competitively against more complex methods for incorporating spatial layout. In SPR the image is divided into regular grids. However, the grids are taken as uniform spatial partitions without any theoretical motivation. In this paper, we address this issue and propose to learn the spatial partitioning with the BoF representation. We define a space of grids where each grid is obtained by a series of recursive axis aligned splits of cells. We cast the classification problem in a maximum margin formulation with the optimization being over the weight vector and the spatial grid. In addition to experiments on two challenging public datasets (Scene-15 and Pascal VOC 2007) showing that the learnt grids consistently perform better than the SPR while being much smaller in vector length, we also introduce a new dataset of human attributes and show that the current method is well suited to the recognition of spatially localized human attributes.
Notícias do mercado de capitais e janelas de eventos para adesões e migrações aos NDGCs

Resumo: Neste artigo teve-se como objetivo analisar a influencia das noticias relacionadas ao mercado de capitais na determinacao da janela do evento para adesoes e migracoes aos Niveis Diferenciados de Governanca Corporativa (NDGCs) da B3 (Brasil, Bolsa, Balcao). A metodologia emprega quatro etapas: determinacao do melhor tamanho da janela para 104 empresas; analise do tamanho das janelas consideradas outliers; analise qualitativa das noticias referentes a janela do evento para os outliers, com base no Bloomberg®; e aplicacao do Estudo de Eventos para os casos considerados outliers. Os resultados encontrados indicaram uma tendencia de pequenas janelas, limitadas a 5-5 dias para cerca de 59,6% dos casos. Para os 42 casos considerados outliers, isto e, janela maior que 5-5 dias, foram encontradas noticias para 61,9%, dos quais apenas 6 casos apresentaram dummies significativas no Estudo de Eventos. A metodologia utilizada conseguiu explicar 68 casos em que houve adesao, migracao ou noticia.Palavras-chave: Governanca Corporativa. Estudo de eventos. Janelas de eventos. Noticias. Capital market news and windows of events for accessions and migrations to NDGCs Abstract: This article aims to analyze the influence of news related to the capital market in determining the window of the event for accessions and migrations to the BMF analysing the size of the Windows which are considered outliers; qualitative analysis of the news related to the window of events for outliers, based on Bloomberg®; and application of the Event Studies for the cases considered outliers. The results of the study indicated a tendency of small windows, limited to 5-5 days for about 59.6% of the cases. For the 42 cases considered outliers, i.e, window bigger than 5-5 days, news was found for 61.9%, from which just 6 ones got meaningful dummies in the Event Study. Even though, the applied methodology succeded explaining 68 of the cases in which there was accession, migration or news.Keywords: Corporate Governance. Windows of Events. Janelas de eventos. News.
Combined speed and yaw control of underactuated unmanned surface vehicles

This paper studies the speed and yaw control problem for an underactuated unmanned surface vehicle (USV) with only two propellers. Firstly, it transforms the dynamical system of speed and yaw into a cascade nonlinear system, and the resulting cascade system can be reduced to the stabilization control problem of a surge speed and yaw subsystem. Secondly, the surge speed and yaw controller are proposed respectively via Lyapunov's direct method and backstepping approach. Then, we demonstrate that the original system state is globally asymptotically stabilized to the desired configuration with the proposed feedback control law. Furthermore, the effectiveness of the proposed method is illustrated and validated by simulation results on a model ship.
Person Cross Document Coreference with Name Perplexity Estimates

The Person Cross Document Coreference systems depend on the context for making decisions on the possible coreferences between person name mentions. The amount of context required is a parameter that varies from corpora to corpora, which makes it difficult for usual disambiguation methods. In this paper we show that the amount of context required can be dynamically controlled on the basis of the prior probabilities of coreference and we present a new statistical model for the computation of these probabilities. The experiment we carried on a news corpus proves that the prior probabilities of coreference are an important factor for maintaining a good balance between precision and recall for cross document coreference systems.
Mlh2 Is an Accessory Factor for DNA Mismatch Repair in Saccharomyces cerevisiae

In Saccharomyces cerevisiae, the essential mismatch repair (MMR) endonuclease Mlh1-Pms1 forms foci promoted by Msh2-Msh6 or Msh2-Msh3 in response to mispaired bases. Here we analyzed the Mlh1-Mlh2 complex, whose role in MMR has been unclear. Mlh1-Mlh2 formed foci that often colocalized with and had a longer lifetime than Mlh1-Pms1 foci. Mlh1-Mlh2 foci were similar to Mlh1-Pms1 foci: they required mispair recognition by Msh2-Msh6, increased in response to increased mispairs or downstream defects in MMR, and formed after induction of DNA damage by phleomycin but not double-stranded breaks by I-SceI. Mlh1-Mlh2 could be recruited to mispair-containing DNA in vitro by either Msh2-Msh6 or Msh2-Msh3. Deletion of MLH2 caused a synergistic increase in mutation rate in combination with deletion of MSH6 or reduced expression of Pms1. Phylogenetic analysis demonstrated that the S. cerevisiae Mlh2 protein and the mammalian PMS1 protein are homologs. These results support a hypothesis that Mlh1-Mlh2 is a non-essential accessory factor that acts to enhance the activity of Mlh1-Pms1.
A randomized, controlled trial of mindfulness‐based art therapy (MBAT) for women with cancer

The purpose of this study was to gather data on the efficacy of a newly developed psychosocial group intervention for cancer patients, called mindfulness‐based art therapy (MBAT). One hundred and eleven women with a variety of cancer diagnoses were paired by age and randomized to either an eight‐week MBAT intervention group or a wait‐list control group. Ninety‐three participants (84%) completed both the pre‐ and post‐study measurements. As compared to the control group, the MBAT group demonstrated a significant decrease in symptoms of distress (as measured by the Symptoms Checklist‐90‐Revised) and significant improvements in key aspects of health‐related quality of life (as measured by the Medical Outcomes Study Short‐Form Health Survey). This investigation of MBAT provides initial encouraging data that support a possible future role for the intervention as a psychosocial treatment option for cancer patients. Copyright © 2005 John Wiley & Sons, Ltd.
On Delete Relaxation in Partial-Order Causal-Link Planning

We prove a new complexity result for Partial-Order Causal-Link (POCL) planning which shows the hardness of refining a search node (i.e., a partial plan) to a valid solution given a delete effect-free domain model. While the corresponding decision problem is known to be polynomial in state-based search (where search nodes are states), it turns out to be intractable in the POCL setting. Since both of the currently best-informed heuristics for POCL planning are based on delete relaxation, we hope that our result sheds some new light on the problem of designing heuristics for POCL planning. Based on this result, we developed a new variant of one of these heuristics which incorporates more information of the current partial plan. We evaluate our heuristic on several domains of the early International Planning Competitions and compare it with other POCL heuristics from the literature.
Applying Association Rule Analysis in Bibliometric Analysis — — A Case Study in Data Mining

Scientific research needs lots of literature searches that cost a large amount of time and energy. Bibliometric techniques could help us find research hotspots and grasp the research direction yet can’t reveal huge hidden information in massive literature since the existing bibliometric analysis techniques employ mainly simple statistical analysis techniques. Hence, we propose to introduce data mining analysis techniques into bibliometrics analysis, and expect to reach some instructive conclusions by mining relations among information like keywords, authors, research institutions, publications and so on. We take the subject 'data mining' as our research object and analyze the records by the method of association rule analysis. Finally, we get some valuable conclusions that verify the idea's feasibility. The results of this research would not only provide a reference for data mining research but also be applied to other research fields.
Laser-Based People Tracking Ajo Fod

— In this paper, we describe a method for real-time tracking of objects with multiple laser range-finders covering a workspace in a parallel and distributed fashion. Tracking people is a popular problem in machine vision. Here we adapt the methods used in vision to pla-nar laser scanners. We group range measurements into entities like blobs and objects. With the help of a Kalman Filter (KF), the tracker smooths object paths and estimates its path even when the underlying object is occluded from all the lasers. We finally evaluate the tracker's performance through four experiments.
A Three-Decade Analysis of 3,911 Small Intestinal Neuroendocrine Tumors: The Rapid Pace of No Progress

OBJECTIVES:Small intestinal neuroendocrine tumors (SI-NETs) are the most common gastrointestinal neuroendocrine tumor, but their natural history and outcome remain poorly defined, which hinders both the prediction of disease progression and appropriate therapeutic options. We examined patterns, incidence, prognosis, and outcomes of these tumors over a 30-yr period.METHODS:Data were extracted from the NCI's SEER registry (1973–2002). Incidence rates, distribution, and 5-yr survival rates were analyzed and adjusted (U.S. decennial census data). RESULTS:Of the 18,641 NETs, 3,911 (21.0%) were SI-NETs, of which 1,953 (49.6%) were ileal. Since 1973, both SI-NET and its ileal variant have increased annually by 3.8% and 2.1%, respectively. Ileal tumors, as a percentage of SI tumors, have increased from 52% to 63.6%. The age-adjusted incidence of ileal, small intestinal, and digestive system NETs has increased 225%, 460%, and 720% over 30 yr. Ileal tumors have specifically increased in prevalence in white (274%) and black (500%) men and women (213% and 286%, respectively); an overall increase of fourfold in blacks and 2.4-fold in whites. Although 83.3% of SI-NETs were staged, 83.7% were histologically ungraded. Five-year survival rates for SI-NETs were 62.6 ± 1% (all stages), 73.8% (localized), 72% (regional), and 43.2% (distant). These have not significantly altered since 1973 (P = 0.11). CONCLUSIONS:SI-NETs have increased, particularly in men and in the black population, which may be due to in vivo changes, increased clinical and pathological awareness, or increased detection of tumors. SI-NETs are malignant, diagnosed late, and survival rates have remained unchanged over 30 yr.
From intimidation to love: Taoist philosophy and love-based environmental education

Abstract For decades, a review of environmental education initiatives in and beyond schools indicates that many of them were implemented from an anthropocentric perspective. The rationale behind them is often that we must not destroy the environment because doing so is harmful for ourselves, human beings. One striking feature of the various forms of environmental education is the use of fear as a motivator, as people are warned about the frightening consequences of environmental destruction on their life. While this type of fear-based environmental education may be effective to some extent, intimidation cannot be a fundamental solution to environmental issues. We need to form a loving relationship with nature, through love-based environmental education. From intimidation to love, love-based environmental education focuses on enhancing public environmental awareness through inculcating love, respect, and gratitude toward nature, thereby helping to solve present and future environmental problems and construct an eco-friendly world. Love-based environmental education is richly embedded in Eastern philosophies such as Taoism and contemporary Western eco-ethics. In this article, we synthesize the tenets of love-based environmental education mainly through the lens of Taoist philosophy, discuss implementation approaches, and explore contemplative methods to cultivate connection with nature. Finally, we point out fear-based and love-based environmental education are not mutually exclusive. We need a combination of, or a diversity of approaches to ensure that we effectively change attitudes and behaviors of people.