GRE as a predictor of graduate student success at a Hispanic serving institution of higher education

Accurately predicting the success of graduate students is an important aspect of determining which students should be admitted into graduate programs. The GRE is a pivotal factor to examine since it is one of the most widely used criteria for graduate school admission. Even though the GRE is advertised as an accurate tool for predicting first year graduate GPA, there is a lack of research on long term success factors such as time to degree and graduate rate (Luthy, 1996; Powers, 2004). Furthermore, since most studies have low minority sample sizes, the validity of the GRE may not be the same across all groups (ETS, 2008b; Kuncel, Hezlett, & Ones, 2001). Another gap in GRE studies is that few researchers analyze student characteristics, which may alter or moderate the prediction validity of the GRE. Thus, student characteristics such as degree of academic involvement, mentorship interactions, and other academic and social experiences have not been widely examined in this context. These gaps in the analysis of GRE validity are especially relevant given the high attrition rates within of some graduate programs (e.g., an estimated 68% of doctoral student never complete their programs in urban universities; Lovitts, 2001). A sequential mixed methods design was used to answer the research questions in two phases. The quantitative phase used student data files to analyze the relationship of two success variables (graduation rate and graduate GPA) to the GRE scores as well as other academic and demographic graduate student characteristics. The qualitative phase served to complement the first phase by describing a wider range of characteristics from the 11 graduate students who were interviewed. Both proximal and distal moderators influence student behaviors and success in graduate school. In the first phase of the study, the GRE was the distal facilitator under analysis. Findings suggested that both the GRE Quantitative and the GRE Verbal were predictors of success for master’s students, but the GRE Quantitative was not predictive of success for doctoral students. Other student characteristics such as demographic variables and disciplinary area were also predictors of success for the population of students studied. In the second phase of the study, it was inconclusive whether the GRE was predictive of graduate student success; though it did influence access to graduate programs. Furthermore, proximal moderators such as student involvement, faculty/peer interactions, motivational factors, and program structure were perceived to be facilitators and/or detractors for success.

The order selection and lot sizing problem in the make-to-order environment

This research is motivated by the need for considering lot sizing while accepting customer orders in a make-to-order (MTO) environment, in which each customer order must be delivered by its due date. Job shop is the typical operation model used in an MTO operation, where the production planner must make three concurrent decisions; they are order selection, lot size, and job schedule. These decisions are usually treated separately in the literature and are mostly led to heuristic solutions. The first phase of the study is focused on a formal definition of the problem. Mathematical programming techniques are applied to modeling this problem in terms of its objective, decision variables, and constraints. A commercial solver, CPLEX is applied to solve the resulting mixed-integer linear programming model with small instances to validate the mathematical formulation. The computational result shows it is not practical for solving problems of industrial size, using a commercial solver. The second phase of this study is focused on development of an effective solution approach to this problem of large scale. The proposed solution approach is an iterative process involving three sequential decision steps of order selection, lot sizing, and lot scheduling. A range of simple sequencing rules are identified for each of the three subproblems. Using computer simulation as the tool, an experiment is designed to evaluate their performance against a set of system parameters. For order selection, the proposed weighted most profit rule performs the best. The shifting bottleneck and the earliest operation finish time both are the best scheduling rules. For lot sizing, the proposed minimum cost increase heuristic, based on the Dixon-Silver method performs the best, when the demand-to-capacity ratio at the bottleneck machine is high. The proposed minimum cost heuristic, based on the Wagner-Whitin algorithm is the best lot-sizing heuristic for shops of a low demand-to-capacity ratio. The proposed heuristic is applied to an industrial case to further evaluate its performance. The result shows it can improve an average of total profit by 16.62%. This research contributes to the production planning research community with a complete mathematical definition of the problem and an effective solution approach to solving the problem of industry scale.

The role of emotional intelligence in college students' success

The purpose of this study was to determine if higher academic performance was positively correlated to higher emotional intelligence among traditional age male and female college students enrolled in an Introduction to Business course at a large multi-campus state college in Florida. The Bar-On 2004 (Emotional Quotient Inventory) EQ-i 133-item inventory was used to assess students’ emotional intelligence. Within the scope of this ex-post facto study, a quasi-experimental design was included to further determine if emotional intelligence could be increased through the inclusion of a curricular component on emotional intelligence. Four groups of students (N=111) participated in the three-phase study over two semesters. The first phase (pre-intervention) was limited to students with an established GPA and an attempted-to-completed credit hour ratio within the institution (N=82). Results showed a slight positive correlation between the two factors and the students’ emotional intelligence pretest assessment scores. The second phase of the study involved establishing a control and an experimental group in each of two semesters to compare the attainment of overall emotional intelligence scores as measured by the EQ-i. The third phase of the study examined four measures of academic success (GPA, the attempted-to-completed credit hour ratio, grade in the business course, and persistence in college) to determine if these factors were positively correlated with the students’ posttest EQ-i scores. The study also included a research question to determine if significant differences in overall EQ-i scores existed between male and female students during the three phases. Findings from the study indicated that (a) there was a slight positive correlation in the pre-intervention stage between emotional intelligence and traditional measures of academic success specifically, GPA and the attempted-to-completed credit hour ratio; (b) curricular intervention made a significant difference at the p <.05 level, with an .5 effect size, in one semester but failed to meet that threshold in the following semester with the second pair of groups; (c) at the post-intervention phase, the four measures of traditional academic success yielded a low positive correlation with the students’ emotional intelligence assessment scores, and (d) female students showed significant gains in their overall EQ-i scores.

Early career special education teachers' perceptions of school site induction support

Research highlights teacher attrition as one of the biggest challenges facing public schools and their attempts to provide a quality teacher for every student (Ingersoll & Smith, 2003). The teacher shortage is particularly daunting in special education where teachers are over twice as likely to leave the field. The first few years of teaching are the most critical in determining whether or not a beginning teacher will stay in the teaching profession (Whitaker, 2000). ^ A mixed-methods sequential explanatory design was utilized to examine research questions focused on the components of induction support that early career teachers received at their school site, including what they considered most valuable to their long-term retention in the classroom and their development as a quality teacher. Eighty seven early career special education teachers were surveyed during the first phase of the study and six participants were interviewed during the second phase. ^ Data analysis of the Likert-scale survey used in the study revealed that the majority of the respondents received at least 21 of the 25 listed induction components. Moreover, early career special education teachers indicated that they valued all 25 induction components. In addition, findings revealed that over two thirds of the respondents indicated a desire to remain a special education teacher. Overall, early career special education teachers felt confident in their abilities to teach students with disabilities; however, nearly half of the respondents did not feel satisfied with the induction they received. Independent t-tests showed a statistically significant difference between teachers who indicated a desire to remain in special education and those that did not on the level of satisfaction with their induction experience. ^ The six interviews provided elaboration and clarification of the survey responses. The participants expressed their passion for the art of teaching, their dedication to students with disabilities, and their frustration with being a beginning teacher. Furthermore, it was reported that the overall school culture was not very supportive. Participants offered relevant ideas for additional or alternate induction components that would be more effective.^

Social and environmental regulation of signal plasticity and signal reliability in the electric fish Brachyhypopomus gauderio

The balance between the costs and benefits of conspicuous signals ensures that the expression of those signals is related to the quality of the bearer. Plastic signals could enable males to maximize conspicuous traits to impress mates and competitors, but reduce the expression of those traits to minimize signaling costs, potentially compromising the information conveyed by the signals. ^ I investigated the effect of signal enhancement on the information coded by the biphasic electric signal pulse of the gymnotiform fish Brachyhypopomus gauderio. Increases in population density drive males to enhance the amplitude of their signals. I found that signal amplitude enhancement improves the information about the signaler's size. Furthermore, I found that the elongation of the signal's second phase conveys information about androgen levels in both sexes, gonad size in males and estrogen levels in females. Androgens link the duration of the signal's second phase to other androgen-mediated traits making the signal an honest indicator of reproductive state and aggressive motivation. ^ Signal amplitude enhancement facilitates the assessment of the signaler's resource holding potential, important for male-male interactions, while signal duration provides information about aggressive motivation to same-sex competitors and reproductive state to the opposite sex. Moreover, I found that female signals also change in accordance to the social environment. Females also increase the amplitude of their signal when population density increases and elongate the duration of their signal's second phase when the sex ratio becomes female-biased. Indicating that some degree of sexual selection operates in females. ^ I studied whether male B. gauderio use signal plasticity to reduce the cost of reproductive signaling when energy is limited. Surprisingly, I found that food limitation promotes the investment in reproduction manifested as signal enhancement and elevated androgen levels. The short lifespan and single breeding season of B. gauderio diminishes the advantage of energy savings and gives priority to sustaining reproduction. I conclude that the electric signal of B. gauderio provides reliable information about the signaler, the quality of this information is reinforced rather than degraded with signal enhancement.^

Ensemble Fuzzy Belief Intrusion Detection Design

With the rapid growth of the Internet, computer attacks are increasing at a fast pace and can easily cause millions of dollar in damage to an organization. Detecting these attacks is an important issue of computer security. There are many types of attacks and they fall into four main categories, Denial of Service (DoS) attacks, Probe, User to Root (U2R) attacks, and Remote to Local (R2L) attacks. Within these categories, DoS and Probe attacks continuously show up with greater frequency in a short period of time when they attack systems. They are different from the normal traffic data and can be easily separated from normal activities. On the contrary, U2R and R2L attacks are embedded in the data portions of the packets and normally involve only a single connection. It becomes difficult to achieve satisfactory detection accuracy for detecting these two attacks. Therefore, we focus on studying the ambiguity problem between normal activities and U2R/R2L attacks. The goal is to build a detection system that can accurately and quickly detect these two attacks. In this dissertation, we design a two-phase intrusion detection approach. In the first phase, a correlation-based feature selection algorithm is proposed to advance the speed of detection. Features with poor prediction ability for the signatures of attacks and features inter-correlated with one or more other features are considered redundant. Such features are removed and only indispensable information about the original feature space remains. In the second phase, we develop an ensemble intrusion detection system to achieve accurate detection performance. The proposed method includes multiple feature selecting intrusion detectors and a data mining intrusion detector. The former ones consist of a set of detectors, and each of them uses a fuzzy clustering technique and belief theory to solve the ambiguity problem. The latter one applies data mining technique to automatically extract computer users’ normal behavior from training network traffic data. The final decision is a combination of the outputs of feature selecting and data mining detectors. The experimental results indicate that our ensemble approach not only significantly reduces the detection time but also effectively detect U2R and R2L attacks that contain degrees of ambiguous information.

Estrutura e desempenho organizacional: uma análise na Universidade Federal do Rio Grande do Norte

This research analyses the components of the organizational structure of the UFRN (Rio Grande do Norte Federal University) and to what extent they affect organizational performance. The study, classified as exploratory and descriptive, was conducted in two phases. The first phase consists of a pilot test to refine the research instrument and to identify the latent components of the organizational structure, and the second to characterize these components and thereby establish relationships with organizational performance. In the first phase, the research was conducted in 20 UFRN organizational units with the participation of 84 employees between technical-administrative and teachers, after considering missing values and outliers, while the second phase occurred in two stages: one conducted with 279 valid cases, consisting of technical-administrative and teachers of 37 UFRN units, and another with 112 managers of the institution in the 49 units identified in this research. The instrument adopted in the first phase was composed of 36 indicators of organizational structure, with six extracted and adapted from the instrument developed by Medeiros (2003) and 30 prepared based on the literature review, from Mintzberg (2012), Hall (1984), Vasconcellos and Hemsley (1997) and Seiffert and Costa (2007) and 7 performance indicators adapted from Fleury and Mills (2006), Vieira and Vieira (2003) and Kaplan and Norton (1997) from the self-assessment instrument in use by the university. In this stage the data were analyzed using the techniques of factor analysis and reliability analysis by means of Cronbach’s alpha, aiming to extract the factors representing the components of the organizational structure. In step 1 of the second phase, the instrument, refined and reduced in the previous phase, with 24 variables of organizational structure and 6 for performance was used, while in step 2, a semi-structured interview guide with questions, organized into nine organizational structure elements, was adopted aiming to gather information to understand the relationship of structure to performance of the UFRN. The techniques used in the second phase, as a whole, were factor analysis and reliability analysis to characterize the components extracted in the previous phase and to validate the performance variables and correlation analysis, regression and content analysis to establish and understand the relationship between structure and performance. The results showed, in the two stages, six latent components of organizational structure in the context under study: training and internalization, communication, hierarchy, decentralization, formalization and departmentalization - with high levels of Cronbach's alpha indexes - which can thereby be characterized as components of UFRN structure. Six performance indicators were validated in this study, showing them as efficient and highly reliable. Finally, it was found that the formalization, communication, decentralization, training and internalization components positively affect UFRN performance, while departmentalization has an adverse affect and hierarchy did not show a significant relationship. The results achieved in this work are important in future studies to support the development of a model structure that represents the specifics of the university

Os limites constitucionais ao exercício de direito de patente e seus reflexos na indústria do petróleo, gás natural e biocombustíveis

This dissertation deals with the constitutional limits on the exercise of patent rights and its effects on the oil, natural gas and biofuels. Held with the support of ANP / PETROBRAS, It seeks to show how the law will limit the exercise of industrial property, based on a reinterpretation of private law by the constitutional development perspective . Today it is a fact that Petrobras, a Brazilian joint venture, has the latest technology in various sectors of the oil industry, and is one of the highest investments in developing new technologies. The overall objective of this thesis is to establish the relationship between the public interest of the Petroleum Industry, Natural Gas and Biofuels and constitutional limits to the free exercise of patent rights, then confirm or refute our hypothesis that Article 71 on Industrial Property Law is contrary to the existing objectives in Article 3 of the Constitution of the Federative Republic of Brazil. The research aims to examine the relevant aspects of the legal nature attributed to IPGN constitutionally confronting the constitutional limits on the free exercise of patent rights, with the purpose to outline the state of the performance limits in the regulation of the economy, in particular the application of feasibility limitations on the right of property in favor of national interest on the strategic energy industry. The aim is to confront the fundamental rights to property and economic development, against the public interest, limiting these first. As to the objectives, the research will be theoretical and descriptive and harvest of industrial property, respect the possible impact of regulatory standards and limiting the right of ownership in the oil industry. To establish how the state will mitigate the intellectual property right, we discuss, at first, a definition of public interest from the general theory of state and sovereign character in order to establish a new concept of national interest and popular interest, which will in turn the definition of our concept of public interest. In the second phase, will be addressed the issue of industrial property rights and how to will be free exercise thereof, in the constitutional sphere, infra, and demonstrating the use of industrial property rights with examples of market and IPGN . After situating the industrial property rights in the constitution and national legislation, establish their relationship with the national and regional development, will be addressed in this chapter in particular the patent law, as most usual form of intellectual property protection in IPGN. Used a study highlighting the number of patents in the area of the analyzed industry, demonstrating with hard data the importance of a sector for industrial development. The relationship between the social function of intellectual property and the constitutional objective of development was characterized to demonstrate the strategic nature of oil to Brazil in the national and international scene, and put into question the hypothesis of the research which provides that even with large investments the lack of legal certainty in the sector turns out not to have a considerable volume of investment as it could.

Estratégias para obtenção de adequada iluminação natural em escolas: uma análise de sistemas de aberturas para Natal/RN

The purpose of this research is to analyze different daylighting systems in schools in the city of Natal/RN. Although with the abundantly daylight available locally, there are a scarce and diffuse architectural recommendations relating sky conditions, dimensions of daylight systems, shading, fraction of sky visibility, required illuminance, glare, period of occupation and depth of the lit area. This research explores different selected apertures systems to explore the potential of natural light for each system. The method has divided into three phases: The first phase is the modeling which involves the construction of three-dimensional model of a classroom in Sketchup software 2014, which is featured in follow recommendations presented in the literature to obtain a good quality of environmental comfort in school settings. The second phase is the dynamic performance computer simulation of the light through the Daysim software. The input data are the climate file of 2009 the city of Natal / RN, the classroom volumetry in 3ds format with the assignment of optical properties of each surface, the sensor mapping file and the user load file . The results produced in the simulation are organized in a spreadsheet prepared by Carvalho (2014) to determine the occurrence of useful daylight illuminance (UDI) in the range of 300 to 3000lux and build graphics illuminance curves and contours of UDI to identify the uniformity of distribution light, the need of the minimum level of illuminance and the occurrence of glare.

A evolução do turismo no Seridó: uma análise à luz do modelo de Butler

Tourism is configured as an activity that presents constant movement could boost local development in the economic, sociocultural and human in locations with potential for structuring and such. Because it is a dynamic activity, tourism allows changes in its flow, extending the periods of seasonality. To this end, in view of the aforementioned dynamics, it becomes relevant to the presence of tourism planning, initially starting from the government so that it create laws and standards and develop projects for the management of activities in an orderly way, seeking citizen participation, making essential the presence of actors and agents in local tourism, expanding democracy and knowledge of their place of origin. In this scenario, the Ministry of Tourism is emerging with the National Tourism Plan which incorporates among its actions, the Regionalization Program Guide, adopting a model of regional local management, a participatory manner, through the bodies of governance imposed at the poles, and the shares of public policy in their various departments most responsible for promoting tourism in pole Seridó. This scientific work aims to analyze the pole Seridó, under the theory of tourism area life cycle (TALC) proposed by BUTLER (1980), locating actions for tourism and chronology of the locality applied the proposed process activity. For both the methodology is descriptive and exploratory, qualitative approach, historical, descriptive and narrative level, non-probability sampling, using secondary sources, through documents and other records occurred during the planning processes in the region, in order to have access to information related to the planning process of tourism in Seridó, using as a way to research the data collected the technique of content analysis. As a conclusion of this study it is observed that from the survey in relation to the history of tourism in the region, economic activities of livestock, cotton industry, mining and ceramics industry were responsible for the initiation of tourism in the locality through the flow directed to the same, the insertion of the first hotels and performing traditional events, giving rise to the demand for public policies that aided in directing the activity being, therefore, inserted into the engagement phase, the second phase proposed by BUTLER (1980) model, and the study was terminated with suggestions for the continuation of tourism in the region.

A influência da perda de peso no perfil inflamatório de mulheres com síndrome dos ovários policísticos

The polycystic ovary syndrome (PCOS) is considered the most common endocrine disorder in reproductive age women, with a prevalence ranging from 15 to 20%. In addition to hormonal and reproductive changes, it is common in PCOS the presence of risk factors for developing cardiovascular disease (CVD) and diabetes mellitus, insulin resistance (IR), visceral obesity, chronic low-grade inflammation and dyslipidemia. Due to the high frequency of obesity associated with PCOS, weight loss is considered as the first-line treatment for the syndrome by improving metabolic and normalizes serum androgens, restoring reproductive function of these patients. Objectives: To evaluate the inflammatory markers and IR in women with PCOS and healthy ovulatory with different nutritional status and how these parameters are displayed after weight loss through caloric restriction in with Down syndrome. Methods: Tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6) and C-reactive protein (CRP) were assessed in serum samples from 40 women of childbearing age. The volunteers were divided into four groups: Group I (not eutrophic with PCOS, n = 12); Group II (not eutrophic without PCOS, n = 10), Group III (eutrophic with PCOS, n = 08) and Group IV (eutrophic without PCOS, n = 10). The categorization of groups was performed by body mass index (BMI), according to the World Health Organization (WHO) does not eutrophic, overweight and obesity (BMI> 25 kg / m²) and normal weight (BMI <24.9 kg / m²). IR was determined by HOMA-IR index. In the second phase of the study a controlled dietary intervention was performed and inflammatory parameters were evaluated in 21 overweight and obese women with PCOS, before and after weight loss. All patients received a low-calorie diet with reduction of 500 kcal / day of regular consumption with standard concentrations of macronutrients. Results: Phase 1: PCOS patients showed increased levels of CRP (p <0.01) and HOMAIR (p <0.01). When divided by BMI, both not eutrophic group with PCOS (I) as eutrophic with PCOS (III) showed increased levels of CRP (I = 2.35 ± 0,55mg / L and 2.63 ± III = 0,65mg / L; p <0.01) and HOMA-IR (I = 2.16 ± 2.54 and III = 1.07 ± 0.55; p <0.01). There were no differences in TNF-α and IL-6 between groups. Step 2: After the weight loss of 5% of the initial weight was reduced in all of the components of serum assessed inflammatory profile, PCR (154.75 ± 19:33) vs (78.06 ± 8.9) TNF α (10.89 ± 5.09) vs (6:39 ± 1:41) and IL6 (154.75 ± 19:33) vs (78.06 ± 08.09) (p <0:00) in association with improvement some hormonal parameters evaluated. Conclusion: PCOS contributed to the development of chronic inflammation and changes in glucose metabolism by increasing CRP, insulin and HOMA-IR, independent of nutritional status. The weight loss, caloric restriction has improved the inflammatory condition and hormonal status of the evaluated patients.

Estudo do balanço de umidade por meio de modelos regionais para o clima do passado e do futuro sobre a América do Sul

In the context of climate change over South America (SA) has been observed that the combination of high temperatures and rain more temperatures less rainfall, cause different impacts such as extreme precipitation events, favorable conditions for fires and droughts. As a result, these regions face growing threat of water shortage, local or generalized. Thus, the water availability in Brazil depends largely on the weather and its variations in different time scales. In this sense, the main objective of this research is to study the moisture budget through regional climate models (RCM) from Project Regional Climate Change Assessments for La Plata Basin (CLARIS-LPB) and combine these RCM through two statistical techniques in an attempt to improve prediction on three areas of AS: Amazon (AMZ), Northeast Brazil (NEB) and the Plata Basin (LPB) in past climates (1961-1990) and future (2071-2100). The moisture transport on AS was investigated through the moisture fluxes vertically integrated. The main results showed that the average fluxes of water vapor in the tropics (AMZ and NEB) are higher across the eastern and northern edges, thus indicating that the contributions of the trade winds of the North Atlantic and South are equally important for the entry moisture during the months of JJA and DJF. This configuration was observed in all the models and climates. In comparison climates, it was found that the convergence of the flow of moisture in the past weather was smaller in the future in various regions and seasons. Similarly, the majority of the SPC simulates the future climate, reduced precipitation in tropical regions (AMZ and NEB), and an increase in the LPB region. The second phase of this research was to carry out combination of RCM in more accurately predict precipitation, through the multiple regression techniques for components Main (C.RPC) and convex combination (C.EQM), and then analyze and compare combinations of RCM (ensemble). The results indicated that the combination was better in RPC represent precipitation observed in both climates. Since, in addition to showing values be close to those observed, the technique obtained coefficient of correlation of moderate to strong magnitude in almost every month in different climates and regions, also lower dispersion of data (RMSE). A significant advantage of the combination of methods was the ability to capture extreme events (outliers) for the study regions. In general, it was observed that the wet C.EQM captures more extreme, while C.RPC can capture more extreme dry climates and in the three regions studied.

AdaptMCloud: uma estratégia para adaptação dinâmica de aplicações Multi-Cloud

Multi-Cloud Applications are composed of services offered by multiple cloud platforms where the user/developer has full knowledge of the use of such platforms. The use of multiple cloud platforms avoids the following problems: (i) vendor lock-in, which is dependency on the application of a certain cloud platform, which is prejudicial in the case of degradation or failure of platform services, or even price increasing on service usage; (ii) degradation or failure of the application due to fluctuations in quality of service (QoS) provided by some cloud platform, or even due to a failure of any service. In multi-cloud scenario is possible to change a service in failure or with QoS problems for an equivalent of another cloud platform. So that an application can adopt the perspective multi-cloud is necessary to create mechanisms that are able to select which cloud services/platforms should be used in accordance with the requirements determined by the programmer/user. In this context, the major challenges in terms of development of such applications include questions such as: (i) the choice of which underlying services and cloud computing platforms should be used based on the defined user requirements in terms of functionality and quality (ii) the need to continually monitor the dynamic information (such as response time, availability, price, availability), related to cloud services, in addition to the wide variety of services, and (iii) the need to adapt the application if QoS violations affect user defined requirements. This PhD thesis proposes an approach for dynamic adaptation of multi-cloud applications to be applied when a service is unavailable or when the requirements set by the user/developer point out that other available multi-cloud configuration meets more efficiently. Thus, this work proposes a strategy composed of two phases. The first phase consists of the application modeling, exploring the similarities representation capacity and variability proposals in the context of the paradigm of Software Product Lines (SPL). In this phase it is used an extended feature model to specify the cloud service configuration to be used by the application (similarities) and the different possible providers for each service (variability). Furthermore, the non-functional requirements associated with cloud services are specified by properties in this model by describing dynamic information about these services. The second phase consists of an autonomic process based on MAPE-K control loop, which is responsible for selecting, optimally, a multicloud configuration that meets the established requirements, and perform the adaptation. The adaptation strategy proposed is independent of the used programming technique for performing the adaptation. In this work we implement the adaptation strategy using various programming techniques such as aspect-oriented programming, context-oriented programming and components and services oriented programming. Based on the proposed steps, we tried to assess the following: (i) the process of modeling and the specification of non-functional requirements can ensure effective monitoring of user satisfaction; (ii) if the optimal selection process presents significant gains compared to sequential approach; and (iii) which techniques have the best trade-off when compared efforts to development/modularity and performance.

A simulação como método de ensino de habilidades no curso de medicina: relato de uma experiência com punção lombar

The teaching of the lumbar puncture (LP) technique with simulator is not well systematized in the curricula of medical schools. Studies show that training in the simulator provides learning technical skills, acquisition and retention of knowledge, improve self-confidence of the learner and enables the transfer to clinical practice. We intend this study to introduce simulated training in LP in medical course at the Universidade Federal do Rio Grande do Norte evaluating the experience taking into account quantitative aspects (performance on standardized tests) and qualitative (perception of the students regarding the method and the teaching process learning). The study was conducted in two phases. In the first phase practical training in PL was introduced in the 3rd year of medical school. Seventy-seven students were trained in small groups, guided by a checklist developed in the model Objective Structured Assessment of Technical Skill (OSATS), at this moment they knew they were not under performance evaluation. They were also asked whether they had prior chances to make an LP in patients. At the end of the first phase the students evaluated training in the following areas: teaching technique, simulator realism, time available per group, number of participants per group and relevance to medical practice. In the second phase, two years later, 18 students trained in first stage performed a new LP on the mannequin simulator, and its performance was evaluated through the same checklist of training in order to verify the technical retention. In addition, they answered a multiple choice test about practical aspects of the LP technique. Each participant received individual feedback on their performance at the end of their participation in the study. In the first phase of the study we found that only 4% of students had performed a lumbar puncture in patients until the 3rd year. The training of LP technique with simulator mannequin was considered relevant and the teaching methods was thoroughly evaluated. In the second phase, all participants were successful in implementing the lumbar puncture on the mannequin simulator, compliance with the most steps in a reasonable time, suggesting that would be able to perform the procedure in a patient.

Study of porcelain-zirconia composites for dental applications

Materiais compósitos restauradores representam um dos mais bem sucedidos biomateriais na pesquisa moderna, na substituição do tecido biológico em aparência e função. Nesta linha, a porcelana feldspática tem sido largamente usada em odontologia devido suas interessantes qualidades como estabilidade de cor, propriedades estéticas, elevada durabilidade mecânica, biocompatibilidade, baixa condutividade térmica e elevada resistência ao desgaste. Entretanto, este material é frágil e pode falhar em ambiente oral devido ao micro-vazamento, baixa resistência à tração, descolagem ou fratura. Assim, para melhorar as propriedades mecânicas da porcelana, a zircônia parcialmente estabilizada com Ítria (Y-TZP) pode ser uma boa alternativa para fortalecer e produzir infraestruturas totalmente cerâmicas (coroas e próteses parciais fixas). Portanto, este estudo tem por objetivo avaliar as propriedades mecânicas e características microestruturais da porcelana reforçada com zircônia (3Y-TZP) em diferentes conteúdos e as variáveis que afetam as propriedades mecânicas destes materiais. O estudo de caracterização revelou que a zircônia comercial apresenta melhores resultados quando comparada com a zircônia sintetizada pelo CPM. Assim, os estudos seguintes utilizaram a zircônia comercial para todos os testes requeridos. As partículas de zircônia apresentam elevadas propriedades mecânicas quando comparadas a zircônia aglomerada. Os diferentes conteúdos revelam que as propriedades mecânicas dos compósitos aumentam com o aumento do conteúdo volumétrico até 30% vol.% (198,5Mpa), ou seja, maior resistência à flexão quando comparada com os outros compósitos. Do mesmo modo, a resistência ao desgaste para os compósitos com (30%, vol.% de zircônia) apresenta valores superiores quando comparado aos demais compósitos. Na adesão cerâmico-cerâmico a porcelana exibe elevada adesão para a superfície de zircônia porosa quando comparada a superfície rugosa. Os furos superficiais (PZ) e aplicação de compósitos com camada intermediária (RZI) na zircônia causam separadamente uma melhoria da resistência ao cisalhamento da zircônia-porcelana quando comparados as amostras convencionais de zircônia-porcelana (RZ), embora não sejam estatisticamente significativas (p>0.05). A presença de uma camada intermediaria produz um aumento significativo na força de ligação (~55%) em relação as amostras convencionais (RZ). Portanto, a correta a correta configuração e tratamento superficial podem produzir subestruturas com qualidade e força de ligação adequadas aos requisitos odontológicos.