A comparison of the effects of classroom and Multi-User Virtual Environments on the perceived speaking anxiety of adult post-secondary English Language Learners

The population of English Language Learners (ELLs) globally has been increasing substantially every year. In the United States alone, adult ELLs are the fastest growing portion of learners in adult education programs (Yang, 2005). There is a significant need to improve the teaching of English to ELLs in the United States and other English-speaking dominant countries. However, for many ELLs, speaking, especially to Native English Speakers (NESs), causes considerable language anxiety, which in turn plays a vital role in hindering their language development and academic progress (Pichette, 2009; Woodrow, 2006). ^ Task-based Language Teaching (TBLT), such as simulation activities, has long been viewed as an effective approach for second-language development. The current advances in technology and rapid emergence of Multi-User Virtual Environments (MUVEs) have provided an opportunity for educators to consider conducting simulations online for ELLs to practice speaking English to NESs. Yet to date, empirical research on the effects of MUVEs on ELLs' language development and speaking is limited (Garcia-Ruiz, Edwards, & Aquino-Santos, 2007). ^ This study used a true experimental treatment control group repeated measures design to compare the perceived speaking anxiety levels (as measured by an anxiety scale administered per simulation activity) of 11 ELLs (5 in the control group, 6 in the experimental group) when speaking to Native English Speakers (NESs) during 10 simulation activities. Simulations in the control group were done face-to-face, while those in the experimental group were done in the MUVE of Second Life. ^ The results of the repeated measures ANOVA revealed after the Huynh-Feldt epsilon correction, demonstrated for both groups a significant decrease in anxiety levels over time from the first simulation to the tenth and final simulation. When comparing the two groups, the results revealed a statistically significant difference, with the experimental group demonstrating a greater anxiety reduction. These results suggests that language instructors should consider including face-to-face and MUVE simulations with ELLs paired with NESs as part of their language instruction. Future investigations should investigate the use of other multi-user virtual environments and/or measure other dimensions of the ELL/NES interactions.^

Mestrado profissional em saúde da família: o curso sob a perspectiva dos mestrandos

Professional masters were created in Brazil in the 1990s in response to social changes in the world of work and aim to train high-level professionals with own profile for various activities of society and the productive sector. They are up in more innovative mode of graduate studies in Brazil, and therefore lack of legitimacy of their identity, which raises the need for discussions to get further information and outline the characteristics of this postgraduate modality. You want to build new understandings about their peculiarities starting from the perspective of students from the Professional Masters in Health Net Northeast Family Training in Family Health, and not only according to the similarities and differences with the academic master. This study aims to understand the meanings attributed by masters training in that course. This is a qualitative, exploratory study. The subjects are 100 students in training in 2013, distributed among the six institutions nucleation Network Northeast Training in Family Health. To collect information desk research was conducted in institutional records of all students, as well as interviews. We interviewed 15 students, distributed in the six nucleation institutions. Information obtained through recorded interviews were transcribed and resulted in two analytical corpus subsequently submitted to Alceste © 4.9 software for identification of semantic classes. It can be concluded that the course provided a redefinition of professional practices in the Family Health Strategy, considering the organizational context of primary care in the Northeast and the specifics of the health work. Even before the student body difficulties related to ownership of research methods, and the very active methodology of problem-based learning, the course effectively contributed to the improvement of work processes in primary care, valuing teamwork and allowing the acquisition of new scientific knowledge.

Reanimação neonatal: capacitação de profissionais de saúde com base na aprendizagem baseada em problemas

In whole world, including in Brazil, there is an absence of professionals who are able to be present at the moment of birth and give to the newborn the cares that they need to because either an absence of opportunity or inappropriate training to those professionals. This master´s thesis describes a construction and application of a neonatal resuscitation course that uses the problem based learning (PBL) methodology. The course has done in two meetings, one for the tutorial session, and another for practice session. The students were divided in groups of eight students each, under supervision of two teachers with experience in PBL methodology. The experience was considered successfully because there were students involvement and motivation. Some course aspects were rebuilt for its upgrading, like the correct use of methodology and building of custom educational material for students learning necessity. It suggests that the course can be used by the medical and nursing schools and perhaps other kind of health courses.

Conhecimento da doença renal crônica entre médicos conforme as diretrizes práticas

INTRODUCTION: Chronic kidney disease (CKD) is a global health problem, with increasing prevalence in its terminal stage and one of the factors that can contribute is the failure to recognize the disease and its risk factors. OBJECTIVE: To evaluate the knowledge of medical residents (MR) and medical preceptors (MP) in hospitals in the Federal University of Rio Grande do Norte in Natal-RN - Brazil, on the DRC, based on the policy of the Kidney Disease Improving Global Outcomes (KDIGO ). METHODS: Cross-sectional study where 64 MR (R1 = 32; R2 = 15; R3 = 17) and 63 MP answered a questionnaire divided into seven sessions that addressed aspects of the DRC since the setting up referral to a nephrologist. RESULTS: Only 20 participants (15.7%) reported using any guidelines for the management of CKD. The scores obtained by session were: Definition and classification (46.1 ± 47.8); Risk factors (70.5 ± 27.9); Laboratory evaluation (58.2 ± 8.8); Clinical action plan (57.6 ± 19.9); Reduction in proteinuria (68.3 ± 15.0); Complications (64.8 ± 19.9); Referral to a nephrologist (73.0 ± 44.6). There was a statistically significant difference between the knowledge of MR and MP in the sessions: Laboratory evaluation (MR 61.5 ± 8.4 vs 54.8 ± 7.9 MP; p <0.001); Reduction in proteinuria (73.1 ± 11.4 vs MR MP 63.5 ± 16.7; p <0.001) and Referral to a nephrologist (MR 81.2 ± 39.3 vs 64.5 ± 48.2 MP; p = 0.035). Among the MR, the R2 obtained the best score (63.9 ± 22.6 vs R1 R2 R3 71.9 ± 17.2 vs 63.5 ± 22.5, p = 0.445). It identified a low percentage of success of the doctors on the definition of CKD (MP = 46%; R1 = 40.6%; R2 = 60%; R3 = 52.9%; p = 0.623) and classification (MP = 34.9%; R1 = 53.1%, R2 = 60%; R3 = 52.9%; p = 0.158). CONCLUSION: The study showed that most doctors do not use any guidelines for clinical management of CKD and that there are gaps in knowledge on the subject, even among physicians who work in the university environment. In this sense, we propose the realization of mini-workshops for participants and students from boarding UFRN, using Case-Based Learning Strategy (CBL), with small group discussion, to strengthen the incorporation of CKD guidelines in undergraduate teaching and in clinical medical practice in general.

Conhecimento da doença renal crônica entre médicos conforme as diretrizes práticas

INTRODUCTION: Chronic kidney disease (CKD) is a global health problem, with increasing prevalence in its terminal stage and one of the factors that can contribute is the failure to recognize the disease and its risk factors. OBJECTIVE: To evaluate the knowledge of medical residents (MR) and medical preceptors (MP) in hospitals in the Federal University of Rio Grande do Norte in Natal-RN - Brazil, on the DRC, based on the policy of the Kidney Disease Improving Global Outcomes (KDIGO ). METHODS: Cross-sectional study where 64 MR (R1 = 32; R2 = 15; R3 = 17) and 63 MP answered a questionnaire divided into seven sessions that addressed aspects of the DRC since the setting up referral to a nephrologist. RESULTS: Only 20 participants (15.7%) reported using any guidelines for the management of CKD. The scores obtained by session were: Definition and classification (46.1 ± 47.8); Risk factors (70.5 ± 27.9); Laboratory evaluation (58.2 ± 8.8); Clinical action plan (57.6 ± 19.9); Reduction in proteinuria (68.3 ± 15.0); Complications (64.8 ± 19.9); Referral to a nephrologist (73.0 ± 44.6). There was a statistically significant difference between the knowledge of MR and MP in the sessions: Laboratory evaluation (MR 61.5 ± 8.4 vs 54.8 ± 7.9 MP; p <0.001); Reduction in proteinuria (73.1 ± 11.4 vs MR MP 63.5 ± 16.7; p <0.001) and Referral to a nephrologist (MR 81.2 ± 39.3 vs 64.5 ± 48.2 MP; p = 0.035). Among the MR, the R2 obtained the best score (63.9 ± 22.6 vs R1 R2 R3 71.9 ± 17.2 vs 63.5 ± 22.5, p = 0.445). It identified a low percentage of success of the doctors on the definition of CKD (MP = 46%; R1 = 40.6%; R2 = 60%; R3 = 52.9%; p = 0.623) and classification (MP = 34.9%; R1 = 53.1%, R2 = 60%; R3 = 52.9%; p = 0.158). CONCLUSION: The study showed that most doctors do not use any guidelines for clinical management of CKD and that there are gaps in knowledge on the subject, even among physicians who work in the university environment. In this sense, we propose the realization of mini-workshops for participants and students from boarding UFRN, using Case-Based Learning Strategy (CBL), with small group discussion, to strengthen the incorporation of CKD guidelines in undergraduate teaching and in clinical medical practice in general.

A pedagogia de projetos e o ensino de música na educação básica da cidade de Natal/RN

This research aims to investigate the use of Project based learning as a method for teaching music in Elementary Schools located in Natal, RN. Its main objective is to analyze how this method is used during the classes of music at school context and which are its implications to the process of music learning acquirement. The specific objectives comprise: gathering the music teachers in preschool that work with project based learning as a method for their classes; identifying how the theory meets their practice; and analyzing how project based learning contributes to the learning process of music within schools. The main scholars adopted as theoretical reference were Boutinet (2002), Hernández (1998; 200), Antunes (2001), Cavalcante (2009), from Education area; and Penna (2008), Fonterrada (2008), Queiroz (2012), regarding Musical Education. Such choice was made in views of identifying the relationship and how project based pedagogy associates to the current Brazil school curriculum. For data collection, mixed methodological strategies were used, of qualitative and quantitative approaches that are complementary for better meeting the research needs. By applying a questionnaire, it was sought to identify the music schools and teachers who reported working with project based learning. Based on these results were selected two schools, one private school and one public school to perform a participant observation in two groups following the development of music classes based on project based learning, and the information were recorded in a diary of audio and video recordings. The results of this work show that the Project Education is a methodology frequently used by music teachers from Natal/ RN contributing to the integration of content and subjects and engages students in activities awakening interest and contributing to the development of music education at school. However, it was identified that many of the conceptions of the teachers about projects are confused by ambiguities from the use of the term in different areas and in various theoretical perspectives as well as the lack of publications that address the music education through the project based learning. It is hoped that this study provides discussions and research about the project based learning applied to music education in elementary school.

Engineering for employability:a transition into CDIO

This paper draws upon the findings of a three year study which tracks an institutions journey of CDIO. In focusing on the student perspective the findings discuss students’ prior learning experiences and their expectations of university. The study considers students’ early perceptions of CDIO; emergent findings suggest that whilst CDIO is not really what students expect when they first arrive at university, most prefer it to ‘traditional lectures’. Indeed the majority indicate that they believe the approach enhances their employability and provides a more engaging learning experience. The conclusion argues that with its focus on problem-based learning and team-working, CDIO has changed the face of the 1st year experience for mechanical engineering and designed students within the university and that in doing so it has enhanced transition and ultimately promoted student success.

A pilot study of orthopaedic resident self-assessment using a milestones' survey just prior to milestones implementation.

OBJECTIVE: To pilot test if Orthopaedic Surgery residents could self-assess their performance using newly created milestones, as defined by the Accreditation Council on Graduate Medical Education. METHODS: In June 2012, an email was sent to Program Directors and administrative coordinators of the 154 accredited Orthopaedic Surgery Programs, asking them to send their residents a link to an online survey. The survey was adapted from the Orthopaedic Surgery Milestone Project. Completed surveys were aggregated in an anonymous, confidential database. SAS 9.3 was used to perform the analyses. RESULTS: Responses from 71 residents were analyzed. First and second year residents indicated through self-assessment that they had substantially achieved Level 1 and Level 2 milestones. Third year residents reported they had substantially achieved 30/41, and fourth year residents, all Level 3 milestones. Fifth year, graduating residents, reported they had substantially achieved 17 Level 4 milestones, and were extremely close on another 15. No milestone was rated at Level 5, the maximum possible. Earlier in training, Patient Care and Medical Knowledge milestones were rated lower than the milestones reflecting the other four competencies of Practice Based Learning and Improvement, Systems Based Practice, Professionalism, and Interpersonal Communication. The gap was closed by the fourth year. CONCLUSIONS: Residents were able to successfully self-assess using the 41 Orthopaedic Surgery milestones. Respondents' rate improved proficiency over time. Graduating residents report they have substantially, or close to substantially, achieved all Level 4 milestones. Milestone self-assessment may be a useful tool as one component of a program's overall performance assessment strategy.

Advanced Techniques for Image Quality Assessment of Modern X-ray Computed Tomography Systems

X-ray computed tomography (CT) imaging constitutes one of the most widely used diagnostic tools in radiology today with nearly 85 million CT examinations performed in the U.S in 2011. CT imparts a relatively high amount of radiation dose to the patient compared to other x-ray imaging modalities and as a result of this fact, coupled with its popularity, CT is currently the single largest source of medical radiation exposure to the U.S. population. For this reason, there is a critical need to optimize CT examinations such that the dose is minimized while the quality of the CT images is not degraded. This optimization can be difficult to achieve due to the relationship between dose and image quality. All things being held equal, reducing the dose degrades image quality and can impact the diagnostic value of the CT examination.

A recent push from the medical and scientific community towards using lower doses has spawned new dose reduction technologies such as automatic exposure control (i.e., tube current modulation) and iterative reconstruction algorithms. In theory, these technologies could allow for scanning at reduced doses while maintaining the image quality of the exam at an acceptable level. Therefore, there is a scientific need to establish the dose reduction potential of these new technologies in an objective and rigorous manner. Establishing these dose reduction potentials requires precise and clinically relevant metrics of CT image quality, as well as practical and efficient methodologies to measure such metrics on real CT systems. The currently established methodologies for assessing CT image quality are not appropriate to assess modern CT scanners that have implemented those aforementioned dose reduction technologies.

Thus the purpose of this doctoral project was to develop, assess, and implement new phantoms, image quality metrics, analysis techniques, and modeling tools that are appropriate for image quality assessment of modern clinical CT systems. The project developed image quality assessment methods in the context of three distinct paradigms, (a) uniform phantoms, (b) textured phantoms, and (c) clinical images.

The work in this dissertation used the “task-based” definition of image quality. That is, image quality was broadly defined as the effectiveness by which an image can be used for its intended task. Under this definition, any assessment of image quality requires three components: (1) A well defined imaging task (e.g., detection of subtle lesions), (2) an “observer” to perform the task (e.g., a radiologists or a detection algorithm), and (3) a way to measure the observer’s performance in completing the task at hand (e.g., detection sensitivity/specificity).

First, this task-based image quality paradigm was implemented using a novel multi-sized phantom platform (with uniform background) developed specifically to assess modern CT systems (Mercury Phantom, v3.0, Duke University). A comprehensive evaluation was performed on a state-of-the-art CT system (SOMATOM Definition Force, Siemens Healthcare) in terms of noise, resolution, and detectability as a function of patient size, dose, tube energy (i.e., kVp), automatic exposure control, and reconstruction algorithm (i.e., Filtered Back-Projection– FPB vs Advanced Modeled Iterative Reconstruction– ADMIRE). A mathematical observer model (i.e., computer detection algorithm) was implemented and used as the basis of image quality comparisons. It was found that image quality increased with increasing dose and decreasing phantom size. The CT system exhibited nonlinear noise and resolution properties, especially at very low-doses, large phantom sizes, and for low-contrast objects. Objective image quality metrics generally increased with increasing dose and ADMIRE strength, and with decreasing phantom size. The ADMIRE algorithm could offer comparable image quality at reduced doses or improved image quality at the same dose (increase in detectability index by up to 163% depending on iterative strength). The use of automatic exposure control resulted in more consistent image quality with changing phantom size.

Based on those results, the dose reduction potential of ADMIRE was further assessed specifically for the task of detecting small (<=6 mm) low-contrast (<=20 HU) lesions. A new low-contrast detectability phantom (with uniform background) was designed and fabricated using a multi-material 3D printer. The phantom was imaged at multiple dose levels and images were reconstructed with FBP and ADMIRE. Human perception experiments were performed to measure the detection accuracy from FBP and ADMIRE images. It was found that ADMIRE had equivalent performance to FBP at 56% less dose.

Using the same image data as the previous study, a number of different mathematical observer models were implemented to assess which models would result in image quality metrics that best correlated with human detection performance. The models included naïve simple metrics of image quality such as contrast-to-noise ratio (CNR) and more sophisticated observer models such as the non-prewhitening matched filter observer model family and the channelized Hotelling observer model family. It was found that non-prewhitening matched filter observers and the channelized Hotelling observers both correlated strongly with human performance. Conversely, CNR was found to not correlate strongly with human performance, especially when comparing different reconstruction algorithms.

The uniform background phantoms used in the previous studies provided a good first-order approximation of image quality. However, due to their simplicity and due to the complexity of iterative reconstruction algorithms, it is possible that such phantoms are not fully adequate to assess the clinical impact of iterative algorithms because patient images obviously do not have smooth uniform backgrounds. To test this hypothesis, two textured phantoms (classified as gross texture and fine texture) and a uniform phantom of similar size were built and imaged on a SOMATOM Flash scanner (Siemens Healthcare). Images were reconstructed using FBP and a Sinogram Affirmed Iterative Reconstruction (SAFIRE). Using an image subtraction technique, quantum noise was measured in all images of each phantom. It was found that in FBP, the noise was independent of the background (textured vs uniform). However, for SAFIRE, noise increased by up to 44% in the textured phantoms compared to the uniform phantom. As a result, the noise reduction from SAFIRE was found to be up to 66% in the uniform phantom but as low as 29% in the textured phantoms. Based on this result, it clear that further investigation was needed into to understand the impact that background texture has on image quality when iterative reconstruction algorithms are used.

To further investigate this phenomenon with more realistic textures, two anthropomorphic textured phantoms were designed to mimic lung vasculature and fatty soft tissue texture. The phantoms (along with a corresponding uniform phantom) were fabricated with a multi-material 3D printer and imaged on the SOMATOM Flash scanner. Scans were repeated a total of 50 times in order to get ensemble statistics of the noise. A novel method of estimating the noise power spectrum (NPS) from irregularly shaped ROIs was developed. It was found that SAFIRE images had highly locally non-stationary noise patterns with pixels near edges having higher noise than pixels in more uniform regions. Compared to FBP, SAFIRE images had 60% less noise on average in uniform regions for edge pixels, noise was between 20% higher and 40% lower. The noise texture (i.e., NPS) was also highly dependent on the background texture for SAFIRE. Therefore, it was concluded that quantum noise properties in the uniform phantoms are not representative of those in patients for iterative reconstruction algorithms and texture should be considered when assessing image quality of iterative algorithms.

The move beyond just assessing noise properties in textured phantoms towards assessing detectability, a series of new phantoms were designed specifically to measure low-contrast detectability in the presence of background texture. The textures used were optimized to match the texture in the liver regions actual patient CT images using a genetic algorithm. The so called “Clustured Lumpy Background” texture synthesis framework was used to generate the modeled texture. Three textured phantoms and a corresponding uniform phantom were fabricated with a multi-material 3D printer and imaged on the SOMATOM Flash scanner. Images were reconstructed with FBP and SAFIRE and analyzed using a multi-slice channelized Hotelling observer to measure detectability and the dose reduction potential of SAFIRE based on the uniform and textured phantoms. It was found that at the same dose, the improvement in detectability from SAFIRE (compared to FBP) was higher when measured in a uniform phantom compared to textured phantoms.

The final trajectory of this project aimed at developing methods to mathematically model lesions, as a means to help assess image quality directly from patient images. The mathematical modeling framework is first presented. The models describe a lesion’s morphology in terms of size, shape, contrast, and edge profile as an analytical equation. The models can be voxelized and inserted into patient images to create so-called “hybrid” images. These hybrid images can then be used to assess detectability or estimability with the advantage that the ground truth of the lesion morphology and location is known exactly. Based on this framework, a series of liver lesions, lung nodules, and kidney stones were modeled based on images of real lesions. The lesion models were virtually inserted into patient images to create a database of hybrid images to go along with the original database of real lesion images. ROI images from each database were assessed by radiologists in a blinded fashion to determine the realism of the hybrid images. It was found that the radiologists could not readily distinguish between real and virtual lesion images (area under the ROC curve was 0.55). This study provided evidence that the proposed mathematical lesion modeling framework could produce reasonably realistic lesion images.

Based on that result, two studies were conducted which demonstrated the utility of the lesion models. The first study used the modeling framework as a measurement tool to determine how dose and reconstruction algorithm affected the quantitative analysis of liver lesions, lung nodules, and renal stones in terms of their size, shape, attenuation, edge profile, and texture features. The same database of real lesion images used in the previous study was used for this study. That database contained images of the same patient at 2 dose levels (50% and 100%) along with 3 reconstruction algorithms from a GE 750HD CT system (GE Healthcare). The algorithms in question were FBP, Adaptive Statistical Iterative Reconstruction (ASiR), and Model-Based Iterative Reconstruction (MBIR). A total of 23 quantitative features were extracted from the lesions under each condition. It was found that both dose and reconstruction algorithm had a statistically significant effect on the feature measurements. In particular, radiation dose affected five, three, and four of the 23 features (related to lesion size, conspicuity, and pixel-value distribution) for liver lesions, lung nodules, and renal stones, respectively. MBIR significantly affected 9, 11, and 15 of the 23 features (including size, attenuation, and texture features) for liver lesions, lung nodules, and renal stones, respectively. Lesion texture was not significantly affected by radiation dose.

The second study demonstrating the utility of the lesion modeling framework focused on assessing detectability of very low-contrast liver lesions in abdominal imaging. Specifically, detectability was assessed as a function of dose and reconstruction algorithm. As part of a parallel clinical trial, images from 21 patients were collected at 6 dose levels per patient on a SOMATOM Flash scanner. Subtle liver lesion models (contrast = -15 HU) were inserted into the raw projection data from the patient scans. The projections were then reconstructed with FBP and SAFIRE (strength 5). Also, lesion-less images were reconstructed. Noise, contrast, CNR, and detectability index of an observer model (non-prewhitening matched filter) were assessed. It was found that SAFIRE reduced noise by 52%, reduced contrast by 12%, increased CNR by 87%. and increased detectability index by 65% compared to FBP. Further, a 2AFC human perception experiment was performed to assess the dose reduction potential of SAFIRE, which was found to be 22% compared to the standard of care dose.

In conclusion, this dissertation provides to the scientific community a series of new methodologies, phantoms, analysis techniques, and modeling tools that can be used to rigorously assess image quality from modern CT systems. Specifically, methods to properly evaluate iterative reconstruction have been developed and are expected to aid in the safe clinical implementation of dose reduction technologies.

Nvidia, matrox, paper? - Undergraduate game design tools in the humanities and social sciences

Eschewing costly high-tech approaches, this paper looks at the experience of using low-tech approaches to game design assignments as problem based learning and assessment tool over a number of years in undergraduate teaching. General game design concepts are discussed, along with learning outcomes and assessment rubrics in line with Blooms Taxonomy based on evidence from students who had no prior experience of serious game play or design. Approaches to creating game design based assessments are offered.

Prospective Estimation of Radiation Dose and Image Quality for Optimized CT Performance

X-ray computed tomography (CT) is a non-invasive medical imaging technique that generates cross-sectional images by acquiring attenuation-based projection measurements at multiple angles. Since its first introduction in the 1970s, substantial technical improvements have led to the expanding use of CT in clinical examinations. CT has become an indispensable imaging modality for the diagnosis of a wide array of diseases in both pediatric and adult populations [1, 2]. Currently, approximately 272 million CT examinations are performed annually worldwide, with nearly 85 million of these in the United States alone [3]. Although this trend has decelerated in recent years, CT usage is still expected to increase mainly due to advanced technologies such as multi-energy [4], photon counting [5], and cone-beam CT [6].

Despite the significant clinical benefits, concerns have been raised regarding the population-based radiation dose associated with CT examinations [7]. From 1980 to 2006, the effective dose from medical diagnostic procedures rose six-fold, with CT contributing to almost half of the total dose from medical exposure [8]. For each patient, the risk associated with a single CT examination is likely to be minimal. However, the relatively large population-based radiation level has led to enormous efforts among the community to manage and optimize the CT dose.

As promoted by the international campaigns Image Gently and Image Wisely, exposure to CT radiation should be appropriate and safe [9, 10]. It is thus a responsibility to optimize the amount of radiation dose for CT examinations. The key for dose optimization is to determine the minimum amount of radiation dose that achieves the targeted image quality [11]. Based on such principle, dose optimization would significantly benefit from effective metrics to characterize radiation dose and image quality for a CT exam. Moreover, if accurate predictions of the radiation dose and image quality were possible before the initiation of the exam, it would be feasible to personalize it by adjusting the scanning parameters to achieve a desired level of image quality. The purpose of this thesis is to design and validate models to quantify patient-specific radiation dose prospectively and task-based image quality. The dual aim of the study is to implement the theoretical models into clinical practice by developing an organ-based dose monitoring system and an image-based noise addition software for protocol optimization.

More specifically, Chapter 3 aims to develop an organ dose-prediction method for CT examinations of the body under constant tube current condition. The study effectively modeled the anatomical diversity and complexity using a large number of patient models with representative age, size, and gender distribution. The dependence of organ dose coefficients on patient size and scanner models was further evaluated. Distinct from prior work, these studies use the largest number of patient models to date with representative age, weight percentile, and body mass index (BMI) range.

With effective quantification of organ dose under constant tube current condition, Chapter 4 aims to extend the organ dose prediction system to tube current modulated (TCM) CT examinations. The prediction, applied to chest and abdominopelvic exams, was achieved by combining a convolution-based estimation technique that quantifies the radiation field, a TCM scheme that emulates modulation profiles from major CT vendors, and a library of computational phantoms with representative sizes, ages, and genders. The prospective quantification model is validated by comparing the predicted organ dose with the dose estimated based on Monte Carlo simulations with TCM function explicitly modeled.

Chapter 5 aims to implement the organ dose-estimation framework in clinical practice to develop an organ dose-monitoring program based on a commercial software (Dose Watch, GE Healthcare, Waukesha, WI). In the first phase of the study we focused on body CT examinations, and so the patient’s major body landmark information was extracted from the patient scout image in order to match clinical patients against a computational phantom in the library. The organ dose coefficients were estimated based on CT protocol and patient size as reported in Chapter 3. The exam CTDIvol, DLP, and TCM profiles were extracted and used to quantify the radiation field using the convolution technique proposed in Chapter 4.

With effective methods to predict and monitor organ dose, Chapters 6 aims to develop and validate improved measurement techniques for image quality assessment. Chapter 6 outlines the method that was developed to assess and predict quantum noise in clinical body CT images. Compared with previous phantom-based studies, this study accurately assessed the quantum noise in clinical images and further validated the correspondence between phantom-based measurements and the expected clinical image quality as a function of patient size and scanner attributes.

Chapter 7 aims to develop a practical strategy to generate hybrid CT images and assess the impact of dose reduction on diagnostic confidence for the diagnosis of acute pancreatitis. The general strategy is (1) to simulate synthetic CT images at multiple reduced-dose levels from clinical datasets using an image-based noise addition technique; (2) to develop quantitative and observer-based methods to validate the realism of simulated low-dose images; (3) to perform multi-reader observer studies on the low-dose image series to assess the impact of dose reduction on the diagnostic confidence for multiple diagnostic tasks; and (4) to determine the dose operating point for clinical CT examinations based on the minimum diagnostic performance to achieve protocol optimization.

Chapter 8 concludes the thesis with a summary of accomplished work and a discussion about future research.

Diagnóstico del rendimiento académico de estudiantes de una escuela de educación superior en México

El objetivo del artículo es realizar un diagnóstico sobre la percepción de los factores que intervienen en el rendimiento académico de los estudiantes de cinco carreras universitarias en una escuela de educación superior en México, para así reconocer las áreas de oportunidad que permitan sugerir políticas y estrategias para elevar su rendimiento. Se utilizó una muestra de 1651 estudiantes, se obtuvieron los datos a partir de un cuestionario con treinta preguntas que estudian la percepción del rendimiento académico en escala tipo Likert. Se realizó un análisis factorial exploratorio que permitiera reducir los datos, facilitar la interpretación y validar el instrumento. Se identificaron tres factores: a) el rol de los profesores, b) la evaluación y c) la motivación de los estudiantes. Se llevó a cabo un análisis comparativo por carrera. Se encontró que los estudiantes perciben que la mayoría de los maestros no se preocupan por la condición de los jóvenes en situación de reprobación. Además, casi no motivan y carecen de expresiones de sentimientos de orgullo por los logros académicos de los estudiantes. La mitad de los participantes piensa que los docentes no cubren el temario en su totalidad. Se detectó que los estudiantes poseen una alta motivación siendo esto positivo porque son alumnos dedicados y responsables. Se concluye realizando una serie de sugerencias y explicando las implicaciones que tiene este trabajo para las instituciones de educación superior.

La carpeta de aprendizaje y la evaluación entre iguales de los estudiantes. Resultados de una innovación docente en los estudios universitarios de las artes

Students reflect more on their learning in course subjects when they participate in managing their teaching–learning environment. As a form of guided participation, peer assessment serves the following purposes: (a) it improves the student’s understanding of previously established learning objectives; (b) it is a powerful metacognitive tool; (c) it transfers to the student part of the responsibility for assessing learning, which means deciding which learning activities are important and choosing the degree of effort a course subject will require; (d) it emphasizes the collective aspect of the nature of knowledge; and (e) the educational benefits derived from peer assessment clearly justify the efforts required to implement activities. This paper reports on the relative merits of a learning portfolio compiled during fine arts-related studies in which peer assessment played an important role. The researchers analyzed the student work load and the final marks students received for compulsory art subjects. They conclude that the use of a closed learning portfolio with a well-structured, sequential and analytical design can have a positive effect on student learning and that, although implementing peer assessment may be complex and students need to become familiar with it, its use is not only feasible but recommendable.

The Booth: Bringing Out the Super Hero in You

Demo paper about the booth

Software Components for Serious Game Development

The presentation explains the approach of the RAGE project. It presents three examples of RAGE software components and how these can be easily reused for applied game development.