722 resultados para exams
Resumo:
Michael S. Henry examined the first 30 years of the AP United States History exam’s essay section. This study examined changes that have occurred over the last 20 years by classifying questions into one of six categories and found little change in the types of essays used during this timeframe.
Resumo:
Betty Perry in the Perry's Palm Beach Home. Betty Laird Perry was born Betty Laird in Ashland, Ohio. She attended Akron General Hospital School of Nursing, where she was the president of the Akron, Ohio TriCity Student Government Association. She received a 3 year diploma in nursing in 1960 and took her state board exams for licensure as an RN that same year. Ultimately, she became licensed in Ohio, Florida and Texas. She met Charles Perry in 1959 and the couple married on September 17, 1960, in Ashland, Ohio; the same week of her graduation. Betty began her nursing career at the Bowling Green State University campus Health Center while Charles worked on the Admissions staff. In 1974, Mrs. Perry received her BSN from Florida International University and in 1985 she earned a Master's Degree in Healthcare Policy and Planning from Georgia State University. Betty and Charles went on to start their own business , BC Golf, Ltd., in 1992. Betty was later recognized by Cambridge’s Who's Who for demonstrating dedication, leadership and excellence in business management. Betty’s passion for art is reflected in the Student Art Award at Florida International University which she and Charles Perry started in the 1970's. In 2010-2011, Betty made a generous donation to the Patricia & Phillip Frost Art Museum Building Fund at Florida International University where she has a gallery named in her honor that is dedicated to student, faculty, and alumni exhibitions.
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The purpose of this study was to determine the knowledge and use of critical thinking teaching strategies by full-time and part-time faculty in Associate Degree Nursing (ADN) programs. Sander's CTI (1992) instrument was adapted for this study and pilottested prior to the general administration to ADN faculty in Southeast Florida. This modified instrument, now termed the Burroughs Teaching Strategy Inventory (BTSI), returned reliability estimates (Cronbach alphas of .71, .74, and .82 for the three constructs) comparable to the original instrument. The BTSI was administered to 113 full-time and part-time nursing faculty in three community college nursing programs. The response rate was 92% for full-time faculty (n = 58) and 61 % for part-time faculty (n = 55). The majority of participants supported a combined definition of critical thinking in nursing which represented a composite of thinking skills that included reflective thinking, assessing alternative viewpoints, and the use of problem-solving. Full-time and part-time faculty used different teaching strategies. Fulltime faculty most often used multiple-choice exams and lecture while part-time faculty most frequently used discussion within their classes. One possible explanation for specific strategy choices and differences might be that full-time faculty taught predominately in theory classes where certain strategies would be more appropriate and part-time faculty taught predominately clinical classes. Both faculty types selected written nursing care plans as the second most effective critical thinking strategy. Faculty identified several strategies as being effective in teaching critical thinking. These strategies included discussion, case studies, higher order questioning, and concept analysis. These however, were not always the strategies that were used in either the classroom or clinical setting. Based on this study, the author recommends that if the profession continues to stress critical thinking as a vital component of practice, nursing faculty should receive education in appropriate critical teaching strategies. Both in-service seminars and workshops could be used to further the knowledge and use of critical thinking strategies by faculty. Qualitative research should be done to determine why nursing faculty use self-selected teaching strategies.
Resumo:
Archival research was conducted on the inception of preemployment psychological testing, as part of the background screening process, to select police officers for a local police department. Various issues and incidents were analyzed to help explain why this police department progressed from an abbreviated version of a psychological battery, to a much more sophisticated and comprehensive set of instruments. While doubts about psychological exams do exist, research has shown that many are valid and reliable in predicting job performance of police candidates. During a three year period, a police department hired 162 candidates (133 males and 29 females) who received "acceptable" psychological ratings and 71 candidates (58 males and 13 females) who received "marginal" psychological ratings. A document analysis consisted of variables that have been identified as job performance indicators which police psychological testing tries to predict, and "screen in" or "screen out" appropriate applicants. The areas of focus comprised the 6-month police academy, the 4-month Field Training Officer (FTO) Program, the remaining probationary period, and yearly performance up to five years of employment. Specific job performance variables were the final academy grade average, supervisors' evaluation ratings, reprimands, commendations, awards, citizen complaints, time losses, sick time usage, reassignments, promotions, and separations. A causal-comparative research design was used to determine if there were significant statistical differences in these job performance variables between police officers with "acceptable" psychological ratings and police officers with "marginal" psychological ratings. The results of multivariate analyses of variance, t-tests, and chi-square procedures as applicable, showed no significant differences between the two groups on any of the job performance variables.
Resumo:
This case study follows eleven non-English speaking students as they adapt to community college, content courses. The three classes examined are required freshman classes--Humanities, Social Environment, and Individual in Transition. In order to cope with the demands of these classes, students must penetrate the academic discourse community and have effective relationships with their instructors and their peers. The results of the study are based on interviews with eleven non-native speaking (NNS) students and their instructors and on an analysis of student writing assignments, course syllabi, and exams. Three general areas are examined: (a) students' first-language (L1) education, (b) the requirements of their content classes, and (c) the affective factors which influence their adaptation process. The case of these students reveals that: 1. Students draw on their L1 education, especially in terms of content, as they cope with the demands of these content classes. 2. In some areas L1 educational experiences interfere with students' ability to adapt. 3. The content classes require students to have well developed reading, writing, oral, and aural skills. 4. Students must use higher level cognitive skills to be successful in content classes. 5. Affective factors play a role in students' success in content classes. The discussion section includes possible implications of this data for college level English as a Second Language courses.
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The hospital is a place of complex actions, where several activities for serving the population are performed such as: medical appointments, exams, surgeries, emergency care, admission in wards and ICUs. These activities are mixed with anxiety, impatience, despair and distress of patients and their families, issues involving emotional balance both for professionals who provide services for them as for people cared by them. The healthcare crisis in Brazil is getting worse every year and today, constitutes a major problem for private hospitals. The patient that comes to emergencies progressively increase, and in contrast, there is no supply of hospital beds in the same proportion, causing overcrowding, declines in the quality of care delivered to patients, drain of professionals of the health area and difficulty in management the beds. This work presents a study that seeks to create an alternative tool that can contribute to the management of a private hospital beds. It also seeks to identify potential issues or deficiencies and therefore make changes in flow for an increase in service capacity, thus reducing costs without compromising the quality of services provided. The tool used was the Computational Simulation –based in discrete event, which aims to identify the main parameters to be considered for a proper modeling of this system. This study took as reference the admission of a private hospital, based on the current scenario, where your apartments are in saturation level as its occupancy rate. The relocation of project beds aims to meet the growing demand for surgeries and hospital admissions observed by the current administration.
Resumo:
Nowadays ENEM is the main large-scale evaluation instrument of Brazilian education. Universities also often use it in order to select their candidates. Reading exam seeks to evaluate student’s capacity of producing argumentative and dissertation prose writing about a social, scientific, cultural or political theme. This paper is located in this context: we want to discuss the evaluation of ENEM’s Writing Exam argumentation. Our startpoint is presuppose that the capacity to develop a well-argued text evaluation goes through several specific skills, which cover different aspects of what is understood about argumentation process. Therefore, considering argumentation as an object of different theoretical approaches and covers different concepts, we intend to verify not only the approaches, but also subjacent concepts and how they were converted into skills and competences established on the ENEM Writing Exam’s matrix of correction. With regard to the nature, it is a theoretical paper, in other words, we intend to offer only a discussion about the theme, not necessarily offering a practical application. Concerning to the goals, it has an exploratory character as we intend to offer a problem treatment, in order to make it more explicit and them construct some hypotheses. In these terms, we surveyed some theoretical approaches about argumentation and presented three conceptions: rhetorical argumentation, textual argumentation and linguistics argumentation. At next, we analyzed the participant’s guide (ENEM’s 2013 Writing Exam ) and how each one of these conceptions are mobilized in the writing evaluation, beginning from how they are considered on the description of competences and skills up to used on correction. This analysis shows that is not assumed a very well established theoretical base, which can contribute to a certain fragility on the Writing Exam evaluation process.
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The present study had as goal to evaluate Rio Grande do Norte state’s medical residency programs (MRP) in Cardiology. It’s a descriptive study, including a documental analysis of the program’s accreditation processes (PAP) of cardiology’s medical residency in Rio Grande do Norte state in 2014 and the analysis of the resident’s perception about his professional education as a specialist in Cardiology. Beside the documental analysis of the PAPs, it was applied a semi-structured questionnaire with closed questions Likert style and open questions to all the current and former residents of the MRPs analyzed. Two MRPs in Cardiology were identified in Rio Grande do Norte state, one hosted in a public institution and the other in a private institution. The documental analysis showed a greater amount of preceptors with a good level of ownership on the public institution in comparison with the private one, as well as a bigger number of publications, participation in congresses and in book’s publications. The private institution presents a better Urgency’s infrastructure, with emergency room and cardiologic ICU. It IS clear that the residents are aware of how a good residency must work, as well as the strengths and fragilities of their own residences. Most of Onofre Lopes Universitary Hospital’s residents point out as a strength the organization, participation and quality of the preceptors, practice activities and scientific debates, great amount of patients and the visits and debates with the preceptors on the sickrooms. As the greatest fragilities, they emphasize the lack of a urgency service of their own and a specialized ICU. In Coração Hospital of Natal (HCor), it is listed as weak points the theoretic scheduling and the few ambulatory practices. As positive aspects, they report the preceptors, the agility on the execution of exams, a good number of serious patients and procedures. In both residences, it is seen a certain difficulty in accepting the important and mandatory items imposed by the rules of the Medical Residences’ National Committee, such as: biostatistics, bioethics, medical ethic, epidemiology and research methodology. Besides that, the residents recognize that both hospitals have a good infrastructure and technological support, especially in imaging methods. The evaluation of PRMCs identifies the strengths of each program and the aspects to be improved in both programs. It also allowed the observation of difficulties in accepting some regulations contained in the CNRM resolution by the resident, such as participation in activities such as biostatistics, epidemiology and research methodology as well as the improvement needs of specific technical training, such as in emergency care. Thus, our results make possible to develop strategies for continued improvement of PRMC in RN state. In addition, it enabled the preparation of the resident’s manual in cardiology, containing even a breakdown of resident evaluation system, which could serve as a model for other residency programs.
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The study of chemical reactions is among the most important contents to the understanding of Chemistry discipline in basic education. However, there are still few studies about chemical reactions as a complex system because, generally, this content is presented in textbooks, taught and even researched in a fragmented form. The thesis here presented aims to investigate, identify and characterize the mistakes and learning difficulties of the students about chemical reactions as a complex system, using for that purpose the analysis of the answers of 126 exams of candidates for the bachelor’s degree in Chemistry Teaching on the entrance exam for the Federal University of Rio Grande do Norte (UFRN). The mistakes and learning difficulties about the parameters ΔG°, Kp, Ea and of the calculation of the amount of substance in a chemical reaction have been identified, as well as the levels of development of the ability to interpret the chemical reaction as a system. The main theoretical source of this study is structured based on the mistakes and learning difficulties (NÚÑEZ, RAMALHO, 2012), of the chemical reactions as complex systems (NÚÑEZ, 1994; RESHETOVA, 1988; SANDERSON, 1968). As methodology, it was prioritized the analysis of the answers to the exams and the interview with the teachers. The results showed typical mistakes in the study of this subject, especially low levels and skill development. No student was able to integrate the different aspects in the systemic understanding of the chemical reaction. From the interviews with Chemistry teachers from High School, it was determined the reasons the teachers assign to those mistakes and learning difficulties. The interviews revealed that the teachers do not work in the perspective of integration of the contents which leads the students to present difficulties and make mistakes related to the content previously mentioned. The study presents a proposal for the organization of the contents of Chemistry discipline for High School as a possibility of a dialectic systemic integration of contents, understanding that this systematic vision, leads to important contributions to the development of the theoretical thinking of the students. We can mention as one of the conclusions of this study, the fact that the non-systemic organization of contents do not favor this kind of thinking in students.
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This dissertation investigates, based on the Post-Keynesian theory and on its concept of monetary economy of production, the exchange rate behavior of the Brazilian Real in the presence of Brazilian Central Bank's interventions by means of the so-called swap transactions over 2002-2015. Initially, the work analyzes the essential properties of an open monetary economy of production and, thereafter, it presents the basic propositions of the Post-Keynesian view on the exchange rate determination, highlighting the properties of foreign exchange markets and the peculiarities of the Brazilian position into the international monetary and financial system. The research, thereby, accounts for the various segments of the Brazilian foreign exchange market. To accomplish its purpose, we first do a literature review of the Post-Keynesian literature about the topic. Then, we undertake empirical exams of the exchange rate determination using two statistical methods. On the one hand, to measure the volatility of exchange rate, we estimate Auto-regressive Conditional Heteroscedastic (ARCH) and Generalized Auto-regressive Conditional Heteroscedastic (GARCH) models. On the other hand, to measure the variance of the exchange rate in relation to real, financial variables, and the swaps, we estimate a Vector Auto-regression (VAR) model. Both experiments are performed for the nominal and real effective exchange rates. The results show that the swaps respond to exchange rate movements, trying to offset its volatility. This reveals that the exchange rate is, at least in a certain magnitude, sensitive to swaps transactions conducted by the Central Bank. In addition, another empirical result is that the real effective exchange rate responds more to the swaps auctions than the nominal rate.
Resumo:
The dog-eating fox (Cerdocyon thous - Linnaeus, 1766) is a medium sized canid widely distributed in South America and occurs in almost all of Brazil. Among the main threats to their conservation are the roadkill mainly caused by habitat loss. The shortage of laboratory bush dogs data affect the veterinary medical care hindering the application of appropriate therapies. This study aimed to evaluate the levels of C-reactive protein, albumin, pre-albumin, ceruloplasmin, haptoglobin and Afla 1 acid glycoprotein and the Prognostic Index Inflammatory Nutritional (IPIN) in this species, thus obtaining a first description of these prognostic markers. They collected 1.5 ml of blood by jugular access 8 of Mato Dogs copies (thous thous) from the Laboratory of collection of Teaching and Research in Wildlife (limpets), Faculty of Veterinary Medicine, Federal University of Uberlândia for exams routine. The samples were collected via the jugular vein after physical restraint of animals and trichotomy of the region. After statistical analysis, the values were: albumin: between 2.7 and 3.0 g / dl, alpha 1-acid glycoprotein: between 0.19 and 0.21 g / l, C-reactive protein: between 1.7 and 2 2, prealbumin between 30 and 35 mg / l haptoglobin: between 0.078 and 0.156 and IPIN ≤ 0.006 being considered normal and values ≥ 0.006 considered high. This press description will serve as a basis for studies where animals may be used with specific diseases and, after analysis, compared with the values found in this study and verified the behavior follows the likeness of domestic dogs.
Resumo:
Lung cancer is the most common of malignant tumors, with 1.59 million new cases worldwide in 2012. Early detection is the main factor to determine the survival of patients affected by this disease. Furthermore, the correct classification is important to define the most appropriate therapeutic approach as well as suggest the prognosis and the clinical disease evolution. Among the exams used to detect lung cancer, computed tomography have been the most indicated. However, CT images are naturally complex and even experts medical are subject to fault detection or classification. In order to assist the detection of malignant tumors, computer-aided diagnosis systems have been developed to aid reduce the amount of false positives biopsies. In this work it was developed an automatic classification system of pulmonary nodules on CT images by using Artificial Neural Networks. Morphological, texture and intensity attributes were extracted from lung nodules cut tomographic images using elliptical regions of interest that they were subsequently segmented by Otsu method. These features were selected through statistical tests that compare populations (T test of Student and U test of Mann-Whitney); from which it originated a ranking. The features after selected, were inserted in Artificial Neural Networks (backpropagation) to compose two types of classification; one to classify nodules in malignant and benign (network 1); and another to classify two types of malignancies (network 2); featuring a cascade classifier. The best networks were associated and its performance was measured by the area under the ROC curve, where the network 1 and network 2 achieved performance equal to 0.901 and 0.892 respectively.
Resumo:
While it is well known that exposure to radiation can result in cataract formation, questions still remain about the presence of a dose threshold in radiation cataractogenesis. Since the exposure history from diagnostic CT exams is well documented in a patient’s medical record, the population of patients chronically exposed to radiation from head CT exams may be an interesting area to explore for further research in this area. However, there are some challenges in estimating lens dose from head CT exams. An accurate lens dosimetry model would have to account for differences in imaging protocols, differences in head size, and the use of any dose reduction methods.
The overall objective of this dissertation was to develop a comprehensive method to estimate radiation dose to the lens of the eye for patients receiving CT scans of the head. This research is comprised of a physics component, in which a lens dosimetry model was derived for head CT, and a clinical component, which involved the application of that dosimetry model to patient data.
The physics component includes experiments related to the physical measurement of the radiation dose to the lens by various types of dosimeters placed within anthropomorphic phantoms. These dosimeters include high-sensitivity MOSFETs, TLDs, and radiochromic film. The six anthropomorphic phantoms used in these experiments range in age from newborn to adult.
First, the lens dose from five clinically relevant head CT protocols was measured in the anthropomorphic phantoms with MOSFET dosimeters on two state-of-the-art CT scanners. The volume CT dose index (CTDIvol), which is a standard CT output index, was compared to the measured lens doses. Phantom age-specific CTDIvol-to-lens dose conversion factors were derived using linear regression analysis. Since head size can vary among individuals of the same age, a method was derived to estimate the CTDIvol-to-lens dose conversion factor using the effective head diameter. These conversion factors were derived for each scanner individually, but also were derived with the combined data from the two scanners as a means to investigate the feasibility of a scanner-independent method. Using the scanner-independent method to derive the CTDIvol-to-lens dose conversion factor from the effective head diameter, most of the fitted lens dose values fell within 10-15% of the measured values from the phantom study, suggesting that this is a fairly accurate method of estimating lens dose from the CTDIvol with knowledge of the patient’s head size.
Second, the dose reduction potential of organ-based tube current modulation (OB-TCM) and its effect on the CTDIvol-to-lens dose estimation method was investigated. The lens dose was measured with MOSFET dosimeters placed within the same six anthropomorphic phantoms. The phantoms were scanned with the five clinical head CT protocols with OB-TCM enabled on the one scanner model at our institution equipped with this software. The average decrease in lens dose with OB-TCM ranged from 13.5 to 26.0%. Using the size-specific method to derive the CTDIvol-to-lens dose conversion factor from the effective head diameter for protocols with OB-TCM, the majority of the fitted lens dose values fell within 15-18% of the measured values from the phantom study.
Third, the effect of gantry angulation on lens dose was investigated by measuring the lens dose with TLDs placed within the six anthropomorphic phantoms. The 2-dimensional spatial distribution of dose within the areas of the phantoms containing the orbit was measured with radiochromic film. A method was derived to determine the CTDIvol-to-lens dose conversion factor based upon distance from the primary beam scan range to the lens. The average dose to the lens region decreased substantially for almost all the phantoms (ranging from 67 to 92%) when the orbit was exposed to scattered radiation compared to the primary beam. The effectiveness of this method to reduce lens dose is highly dependent upon the shape and size of the head, which influences whether or not the angled scan range coverage can include the entire brain volume and still avoid the orbit.
The clinical component of this dissertation involved performing retrospective patient studies in the pediatric and adult populations, and reconstructing the lens doses from head CT examinations with the methods derived in the physics component. The cumulative lens doses in the patients selected for the retrospective study ranged from 40 to 1020 mGy in the pediatric group, and 53 to 2900 mGy in the adult group.
This dissertation represents a comprehensive approach to lens of the eye dosimetry in CT imaging of the head. The collected data and derived formulas can be used in future studies on radiation-induced cataracts from repeated CT imaging of the head. Additionally, it can be used in the areas of personalized patient dose management, and protocol optimization and clinician training.
Resumo:
Allocating resources optimally is a nontrivial task, especially when multiple
self-interested agents with conflicting goals are involved. This dissertation
uses techniques from game theory to study two classes of such problems:
allocating resources to catch agents that attempt to evade them, and allocating
payments to agents in a team in order to stabilize it. Besides discussing what
allocations are optimal from various game-theoretic perspectives, we also study
how to efficiently compute them, and if no such algorithms are found, what
computational hardness results can be proved.
The first class of problems is inspired by real-world applications such as the
TOEFL iBT test, course final exams, driver's license tests, and airport security
patrols. We call them test games and security games. This dissertation first
studies test games separately, and then proposes a framework of Catcher-Evader
games (CE games) that generalizes both test games and security games. We show
that the optimal test strategy can be efficiently computed for scored test
games, but it is hard to compute for many binary test games. Optimal Stackelberg
strategies are hard to compute for CE games, but we give an empirically
efficient algorithm for computing their Nash equilibria. We also prove that the
Nash equilibria of a CE game are interchangeable.
The second class of problems involves how to split a reward that is collectively
obtained by a team. For example, how should a startup distribute its shares, and
what salary should an enterprise pay to its employees. Several stability-based
solution concepts in cooperative game theory, such as the core, the least core,
and the nucleolus, are well suited to this purpose when the goal is to avoid
coalitions of agents breaking off. We show that some of these solution concepts
can be justified as the most stable payments under noise. Moreover, by adjusting
the noise models (to be arguably more realistic), we obtain new solution
concepts including the partial nucleolus, the multiplicative least core, and the
multiplicative nucleolus. We then study the computational complexity of those
solution concepts under the constraint of superadditivity. Our result is based
on what we call Small-Issues-Large-Team games and it applies to popular
representation schemes such as MC-nets.
Resumo:
Computed tomography (CT) is a valuable technology to the healthcare enterprise as evidenced by the more than 70 million CT exams performed every year. As a result, CT has become the largest contributor to population doses amongst all medical imaging modalities that utilize man-made ionizing radiation. Acknowledging the fact that ionizing radiation poses a health risk, there exists the need to strike a balance between diagnostic benefit and radiation dose. Thus, to ensure that CT scanners are optimally used in the clinic, an understanding and characterization of image quality and radiation dose are essential.
The state-of-the-art in both image quality characterization and radiation dose estimation in CT are dependent on phantom based measurements reflective of systems and protocols. For image quality characterization, measurements are performed on inserts imbedded in static phantoms and the results are ascribed to clinical CT images. However, the key objective for image quality assessment should be its quantification in clinical images; that is the only characterization of image quality that clinically matters as it is most directly related to the actual quality of clinical images. Moreover, for dose estimation, phantom based dose metrics, such as CT dose index (CTDI) and size specific dose estimates (SSDE), are measured by the scanner and referenced as an indicator for radiation exposure. However, CTDI and SSDE are surrogates for dose, rather than dose per-se.
Currently there are several software packages that track the CTDI and SSDE associated with individual CT examinations. This is primarily the result of two causes. The first is due to bureaucracies and governments pressuring clinics and hospitals to monitor the radiation exposure to individuals in our society. The second is due to the personal concerns of patients who are curious about the health risks associated with the ionizing radiation exposure they receive as a result of their diagnostic procedures.
An idea that resonates with clinical imaging physicists is that patients come to the clinic to acquire quality images so they can receive a proper diagnosis, not to be exposed to ionizing radiation. Thus, while it is important to monitor the dose to patients undergoing CT examinations, it is equally, if not more important to monitor the image quality of the clinical images generated by the CT scanners throughout the hospital.
The purposes of the work presented in this thesis are threefold: (1) to develop and validate a fully automated technique to measure spatial resolution in clinical CT images, (2) to develop and validate a fully automated technique to measure image contrast in clinical CT images, and (3) to develop a fully automated technique to estimate radiation dose (not surrogates for dose) from a variety of clinical CT protocols.