Miracle-dz/UniFAR-FTUs huggingface dataset:
Creating a Model for Preventing Semantic Email Violations

Email is one of the most important Internet applications for most of the computer users. The usage of email is increasing from time to time. However, together with this growth comes a various problems, such as increase of spam and the widely spread of computer worms via emails. The current scenario poses a challenge on ways to manage email efficiently, especially in avoiding the sending and receiving of spam email. Recent development such as Semantic Web in web technology provides an infrastructure that enables web pages, databases, and services to both consume and produce data on the web. Application developer can use this information to search, filter, and prepare information in new and exciting ways to assist the web user. With these features, Semantic Email, one of Semantic Web application, is believed to be able to help control spam by using semantic filtering and filing of email. This paper reports the current practice of email violation prevention method by Internet Service Providers in Malaysia, and later proposes a measure to prevent email violation in Malaysia through Web 3.0 technology. The development of an email violation prevention model based on Web 3.0.
Examination of Chinese Cruise Tourists’ Attributes Using a Choice Experiment

Several studies have mentioned the differentiation between Western and Asian cultures in terms of people’s backgrounds, life styles, and perspectives. In particular, in cruise tourism, tourists from China have shown different behavior from Western tourists. Previous research has investigated the preferences of cruise tourists. However, there have been few systematic studies of their preferences. Thus, it is necessary to examine cultural uniqueness with a systematic method. Therefore, the main purpose of the study is to apply a choice experiment (CE), which is a scientific method for understanding Chinese tourists’ preferences for a given attribute as a form of marginal willingness-to-pay, and to identify their priorities. In order to collect the data from an online data platform, the answers from 244 Chinese were used for multinomial logit analysis. The study results demonstrate that the respondents placed the highest value on having a variety of shopping items in duty-free shops on board. Furthermore, room type, percentage of traditional Chinese food served, and touring in ports of call were also statistically significant attributes. The conclusion and the implications of this study will be discussed.
Data and Metadata Brokering - Theory and Practice from the BCube Project

EarthCube is a U.S. National Science Foundation initiative that aims to create a cyberinfrastructure (CI) for all the geosciences. An initial set of “building blocks” was funded to develop potential components of that CI. The Brokering Building Block (BCube) created a brokering framework to demonstrate cross-disciplinary data access based on a set of use cases developed by scientists from the domains of hydrology, oceanography, polar science and climate/weather. While some successes were achieved, considerable challenges were encountered. We present a synopsis of the processes and outcomes of the BCube experiment.
Dependencia condicional en el bloque TLCAN : un análisis con modelos GARCH y Cópula

El presente artículo tiene por objetivo analizar la dependencia condicional entre los mercados de valores de Estados Unidos, México y Canadá durante el período 2003-2018. Las Cópulas Arquimedianas y Elípticas, así como los modelos GARCH y TARCH son utilizados para realizar la modelación en tres subperíodos: antes, durante y después de la crisis financiera global. Los resultados evidencian un incremento promedio de 38 % de la dependencia condicional en la crisis financiera, con respecto al período previo; asimismo, existe una leve disminución del parámetro de dependencia al modelar la asimetría en la volatilidad de las series.
Costs of Civil War and Fragile States in Africa

This paper provides an analysis of the costs of conflict for the countries that are most affected by it, namely low‐income and fragile countries in Africa. It provides an analysis of the impact of conflict on economic growth using a panel of African countries and investigates the differences between those categorized as fragile and others. It finds that there are significant differences, with fragile countries most affected by conflict. It also considers the potential spillover effects of conflict and finds that fragile states also suffer more from conflicts within neighboring states. Finally, it considers whether the results are robust to endogeneity of the conflict variable. Using instrumental variable estimation confirms the negative effect of conflict and the larger effects on fragile states and gives even larger coefficient estimates.
Avaliando o impacto da estratégia de segurança do paciente implantada em uma unidade de clínica médica de um hospital universitário sob a perspectiva da dimensão da atenção à saúde

Considerando a magnitude do tema Seguranca do Paciente (SP) e sua relevância na dimensao do cuidado em saude e na qualidade da assistencia. Este estudo tem por objetivo analisar as estrategias de seguranca do paciente implantadas na unidade de clinica medica (UCM) de um hospital de ensino em Pernambuco. Foi utilizada a metodologia quanti-qualitativa de natureza descritiva, por meio da analise dos indicadores do Plano de Seguranca do Paciente (PSP) da Instituicao. Para coleta dos dados utilizou-se um formulario adaptado da EBSERH (Empresa Brasileira de Servicos Hospitalares). Foi estabelecido o Indice de Conformidade (IC) ideal ≥ 80% para todos os indicadores descritos, ou seja, o percentual de adequacao que reflete a seguranca em relacao a assistencia prestada. Quanto a Cultura Organizacional observou-se um IC de 60.97%. Quanto aos Processos de Gestao de Risco teve um IC de 60,0%; e, quanto ao Nucleo de Seguranca do Paciente na UCM, um IC de 56,25%. Conclui-se que ha a necessidade da estruturacao de medidas que assegurem a implantacao de uma cultura voltada para a seguranca do paciente, identificando erros, adequando processos e promovendo melhorias continuas, na busca pela qualidade da assistencia a saude.
The Effects of Virtual Likes on Self-Esteem

Social networking sites offer opportunities for users to express themselves and receive immediate feedback in the form of virtual likes. Adolescents place a great deal of value on the number of likes, regarding them as indicators of peer acceptance and support. Since peer feedback and social comparison are integral to adolescents' self-evaluations, the aim of the current chapter is to determine whether self-esteem is sensitive to the number of likes associated with their own (peer feedback) and others' posts (social comparison). The synthesis of literature indicates that self-esteem is responsive to indicators of one's value to others as well as the value of others, supporting the sociometer and social comparison theories. Indications of liking online serve to enhance self-esteem, whereas rejection deflates it. In addition, seeing others get many likes negatively impacts viewers' self-esteem. The gaps in the literature are discussed and future research is suggested.
The Iowa Gambling Task: A Review of the Historical Evolution, Scientific Basis, and Use in Functional Neuroimaging

The Iowa Gambling Task (IGT) provides a framework to evaluate an individual decision-making process through a simulated card game where the risks and rewards vary by the decks chosen. Participants are expected to understand the logic behind the allocation of gains and losses over the course of the test and adapt their pattern of choices accordingly. This review explores the scientific work on studying problem gambling via the IGT while employing neuroimaging techniques. We first concentrate on the historical evolution of the IGT as a mechanism for studying gamblers’ behavioral patterns. Our research will also discuss the prefrontal cortex as this region of the brain is most affected by changes in behavioral patterns. In this review, we describe a number of features that may be useful in investigating decision-making patterns that lead to gambling addiction. We discuss the evidence base to date including experiments involving gambling behavior in different groups of participants (e.g., males and females, adults and minors, patients and controls) and alterations to experiment conditions that provide more thorough understanding of thought patterns in potential gamblers. We conclude that psychological testing combined with functional imaging provide powerful tools to further examine the relationships between functional impairment of the brain and a person’s ability to objectively anticipate the end results of their decisions.
Automatic Mesh Generator Based on Self-organizing Finite-element Tessellation for Electromagnetic Field Problems

A three-dimensional SOFT (self-organizing finite-element tessellation) mesh generator, based on self organizing topology-preserving feature maps, is developed for electromagnetic field problems. User-supplied probability function controls density of the graded mesh, and local mesh refinements are easily incorporated. Numerical results show that the SOFT algorithm improves not only mesh quality but also calculation accuracy. >
The Robot from Ipanema goes Working: Estimating the Probability of Jobs Automation in Brazil

Abstract In this paper, we replicated the method applied by Frey and Osborne to investigate the automation probability of jobs in Brazil, using data from Brazilian labor market administrative records between 1986 and 2017. We categorized each job listed on Brazil’s Occupational Classification System into Job Zones based on its technical qualifications requirements and estimated the future demand for workers of each Job Zone from 2018 to 2046. To estimate the probability of automation for each occupation, we first collected the expert opinion of 69 specialists on artificial intelligence and then applied a Gaussian process using as input the text description of each occupation. The results showed that in 2017 55% of all formally employed workers in Brazil are in jobs with high or very high risk of automation, a value consistent with similar works found in the literature for other countries. The findings of this paper can aid policy makers to anticipate potential increased unemployment for occupations with high risk of automation, anticipate future transformations of the Brazilian labor market, and consequently support the planning of economic and social interventions.
On the evolution of the instance level of DL-Lite knowledge bases

Recent papers address the issue of updating the instance level of knowledge bases expressed in Description Logic following a modelbased approach. One of the outcomes of these papers is that the result of updating a knowledge base K is generally not expressible in the Description Logic used to express K. In this paper we introduce a formula-based approach to this problem, by revisiting some research work on formulabased updates developed in the ’80s, in particular the WIDTIO (When In Doubt, Throw It Out) approach. We show that our operator enjoys desirable properties, including that both insertions and deletions according to such operator can be expressed in the DL used for the original KB. Also, we present polynomial time algorithms for the evolution of the instance level knowledge bases expressed in DL-LiteA,id, which the most expressive Description Logics of the DL-Lite family.
Abstraction -- the Essence of Innovation

Innovative thinking techniques, i.e., heuristics applied during problem solving, stir both subconscious thinking engines into action; our left- and right-brain hemispheres. However, these two engines use different protocols in viewing and analyzing the same problem simultaneously. One parses a problem logically, consciously rationalizing each step while expressing its progress in language – a more tedious process than that of its compliment. The other, which favors images to language, visualizes a problem situation holistically and proffers instantaneously intuitive solution concepts to the conscious. Both dredge the depths of memory searching meaningful, but different, associations with our past experience. One engine uses the preferred thinking of technologists. The other engine uses that of verbal and graphic artisans. Yet, both types of thinking are creative and solve problems. This paper focuses on problem-solving heuristics commonly used by technologists and describes how these heuristics can be made to spark intuitive solution concepts through effective use of abstraction. Keywords: innovation, problem solving, unified structured inventive thinking, heuristics, structured problem solving, left-brain logic, right-brain intuition, heuristic innovation
Study on call detail records of family members based on classification model

In telecommunication industry, machine learning techniques have been applied to the Call Detail Records (CDRs) for predicting customer behavior. To further investigate the information buried in huge amounts of CDRs, family relationship among mobile users can be identified, which helps the effective targeted marketing behavior, it is significantly important for increasing profitability. We use the information extracted from the CDRs analysis to identify customer calling patterns. then Customers calling patterns are given to a classification algorithm to generate a classifier model for predicting the family relation of a customer. We apply different machine learning techniques to build classifier models and compare them in terms of classification accuracy and computational performance. The reported test results demonstrate the applicability and effectiveness of the proposed approach.
New Insights into Effort Estimation for Incremental Software Development Projects

Incremental software development, the staged delivery of products, offers many benefits compared with more traditional development approaches. Indeed, incremental approaches have been utilized for many years due to the involvement of users, early demonstration of capability, and potential for risk reduction that they offer. However, there appears to have been little work on modeling, planning and controlling incremental development. This paper attempts to introduce a quantitative analytical framework for evaluating such approaches and their economic impacts. The use of a Constructive Cost Model (COCOMO)-style effort framework developed in this paper explores some of the relationships between effort and the number of increments, thereby providing new insights into the economic impact of incremental approaches to software projects.
Evaluation Of Blood Gas Analysis As a Mortality Predictor

Results: Our study showed us lactate, base excess, bicarbonate levels can have a relation with mortality. Statistical analysis for lactate had 4.64±4.696 mEq/L values, and it was significant for mortality in the non-survival group (p=0.000). In the ROC analysis of the lactate, the area under the curve was determined as 0.725, and when the lactate was above 1.5 mEq/L, it had 76% sensitivity and 54% specificity. In the non-survivor group (mean±SD) -5.57±9.852 mmol/L values for the base deficit was found to be meaningful in terms of mortality (p=0.000). The area under the curve was 0.726 as a result of the ROC analysis of the base excess, with a sensitivity of 63% and a specificity of 74.7% for the value of -2.5 mmol/L. The statistics for bicarbonate (mean±SD) 19.63±7.725 mmol/L range values are significant as predictors of mortality (p<0.05). In our study, 62% mortality was observed in the baseline values of -2 mmol/L and below for base excess, and it was found to be a significant predictor of mortality. The other parameters, (pH, PCO2, PaO2), were not statistically significant as a mortality predictor (p>0.05).
MSc thesis: Educational Games for Teaching Computer Science Department of Computer Science and Software Engineering, University of Canterbury

Much work has done on teaching Computer Science by having students program games, but little has been done on teaching Computer Science by having the students learn from playing educational games. The current work in this field does not seem to be particularly cohesive, so there is no clear idea of what has already been done, and what works. The focus of this thesis is to provide a clearer picture of the range of games available for teaching Computer Science, and to provide guidelines for designing and evaluating them. The first and primary part of the thesis was to find and provide detailed information on as many of the existing educational games that teach Computer Science as possible. An extensive search was performed, and 41 games were found. From these it can be seen that while a few topics, mainly binary and introductory programming concepts, have sufficient coverage, most topics in Computer Science have barely been touched. Of the games for teaching Computer Science that were found, most were available online, at no cost, and only required a short time investment to play. The second part of the thesis focuses on growing the number of games that could be used for teaching Computer Science. This is achieved by providing guidelines on producing new work, and an example game is produced to test the guidelines.
Design of Face Image Retrieval System

To retrieval directly information with images, by using the face detection technique based on the gravity-center template matching method and the face recognition technique based on methods of the principal component analysis and the linear discriminative analysis. To the given video sequence, the system can retrieve face image from big face image database on time. Experimental results show that the system is provided with good human-machine interface, high retrieval rate, short retrieval time and can well satisfy the user's requirements.
Mortalidad de vertebrados silvestres en la carretera Troncal del Caribe, Magdalena, Colombia

Road networks cause great impacts on the environment, from the direct mortality of wild animals that are hit by moving vehicles to the reduction of connectivity in the landscape and the isolation of natural populations. In Colombia, studies on wildlife roadkill are incipient, and there are still many gaps in the generation of primary information, especially on the roads of the Caribbean coast. For this reason, we selected two road stretches in the Colombian Caribbean region: 1) Isla Salamanca National Natural Park highway (45 km) and 2) Tayrona National Natural Park highway (34 km). On both roads, monthly trips were made on board a vehicle at a maximum speed of 30 km/h during 5 months, between October 2016 and January 2017. We recorded a total of 208 roadkills (46 identified species), being reptiles and mammals the most affected groups in segments 1 and 2, respectively. Finally, we calculated the roadkill rate (TA) for each species. The species Boa constrictor and Procyon cancrivorus stand out because they obtained highest TA values reported in Latin America
Moving object segmentation method using accumulated frame differenceand background subtraction

A moving object segmentation method is presented for low bit rate multimedia video sequences.It utilizes accumu- lated frame difference and background subtraction.The initial moving object region is gotten by an improved accumulated frame difference method,then another moving object region is obtained by the background subtraction method.The two mov- ing object regions are combined to obtain complete and accurate result.After binarization and morphological processing,the moving object mask can be obtained by twice scanning and filling.The moving object region is filled with original values.Ex- periments show that this method is fast and accurate and has application value.
The Research of Name Strategy Based on WordNet in Ontology Matching

This paper analyzes the main drawbacks of traditional name-based strategies for ontology mapping. To solve the problems of name-based strategies, a new solution based on WordNet is proposed. This solution maps core words of a concept to the WordNet to eliminate word ambiguity, using this approach will improve the accuracy of similarity calculation between words, and a C -C principle is adopted to solve the blindness problem which usually exists when combining similarity value between words. Experiment results show that this algorithm efficiently improves the precision while maintaining recall.
Ethics Education And Vocational Training Process Of Accounting And Auditing Professions In Turkey: A Historical Perspective

The present study aims to investigate the main lines of vocational training and ethics education in Turkey from past to today in order to discuss the elements which are likely to play role on the efficacy of ethics education. To do this, first the social and economic rules of Akhism and the Guild System (the Loncas), forming the economic and social infrastructure of Turkish private enterprises in between the 13 th – 16 th Centuries are investigated. Second, the modern vocational training and ethics education in accounting profession throughout education process from primary school to accounting-related training period are investigated. Then, by considering the International Education Standards for Professional Accountants (IES)-4, the study suggests an ethics education process and compares it to the current ethics education and vocational training process of today’s Turkey in order to reveal where we are. Thus, the study emphasizes crucial points and shortcomings in ethics education process and discusses why ideal vocational training and ethics education in accounting profession could not be reached.
Research Update—Closed Loop/Artificial Pancreas

Creation of a working closed loop/artificial pancreas (CL/AP) system is one of the holy grails of type 1 diabetes mellitus (T1DM). In essence, this would be a mechanical cure for a potentially devastating chronic disease. While the CL/AP still has its limitations, the results of recent research studies are encouraging. The CL/AP system also has the attention and support of organizations such as the US Food and Drug Administration (FDA) and the Juvenile Diabetes Research Foundation (JDRF), which is a large charitable organization dedicated to funding T1DM research. The JDRF has created a six-step pathway which ends in a fully automated CL/AP system, and the FDA has created a helpful guide with recommendations and instructions for those interested in developing a CL/AP. The purpose of this paper is to discuss the components of the CL/AP system, describe its limitations, and review recent CL/AP research studies and future directions.
KALICI DURGUNLUKTAN FİNANSAL DÖNGÜYE: KÜRESEL KISITLAR ve TCMB’NİN POLİTİKA AÇMAZLARI

Gelismis ulkelerde, Buyuk Resesyondan cikisin guclu olmamasinin nedenleri uzerine halen suren bir tartisma soz konusudur. Kalici durgunluk hipotezi, sorunu yapisal talep eksikligine dayali olarak aciklamaktadir. Finansal dongu durgunlugu gorusu ise cikisin zayifligini, Buyuk Sakinlik doneminde izlenen iktisat politikalarinin bir sonucu olarak ortaya cikan finansal dongunun, asiri buyumesi ile iliskilendirmektedir. Finansal dongunun ayrica kuresel bir boyutu da vardir. Kuresel finansal dongu (KFD), gelismis ulke merkez bankalarinin kuresel finansal kriz sonrasi izledigi konvansiyonel olmayan para politikalarina bagli olarak gerceklesen sermaye akimlari, varlik fiyatlari ve kredi buyumesinin birlikte hareketini kapsar. KFD, yukselen piyasa ekonomileri merkez bankalarinin para politikasini sinirlamakta ve esnek kur rejiminin varligi, makroekonomik istikrari saglamak icin yeterli olmamaktadir. Bu acidan, Turkiye Cumhuriyet Merkez Bankasi (TCMB) da bir istisna degildir. KFD, fiyat istikrari, finansal istikrar ve buyume arasinda TCMB icin belirli politika acmazlarina yol acmaktadir. Bu calisma, soz konusu acmazlari tartismayi ve kriz sonrasi donemde kuresel sinirlamalarin TCMB uzerindeki etkilerini ele almayi amaclamaktadir.