Decision analysis of the effectiveness of lung cancer screening using autofluorescence bronchoscopy and computed tomography

Background: Lung cancer (LC) is the leading cause of cancer death in the developed world. Most cancers are associated with tobacco smoking. A primary hope for reducing lung cancer has been prevention of smoking and successful smoking cessation programs. To date, these programs have not been as successful as anticipated. Objective: The aim of the current study was to evaluate whether lung cancer screening combining low dose computed tomography with autofluorescence bronchoscopy (combined CT & AFB) is superior to CT or AFB screening alone in improving lung cancer specific survival. In addition, the extent of improvement and ideal conditions for combined CT & AFB screening were evaluated. Methods: We applied decision analysis and Monte Carlo simulation modeling using TreeAge Software to evaluate our study aims. Histology- and stage specific probabilities of lung cancer 5-year survival proportions were taken from Surveillance and Epidemiologic End Results (SEER) Registry data. Screeningassociated data was taken from the US NCI Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial (PLCO), National Lung Screening Trial (NLST), and US NCI Lung Screening Study (LSS), other relevant published data and expert opinion. Results: Decision Analysis - Combined CT and AFB was the best approach at Improving 5-year survival (Overall Expected Survival (OES) in the entire screened population was 0.9863) and in lung cancer patients only (Lung Cancer Specific Expected Survival (LOSES) was 0.3256). Combined screening was slightly better than CT screening alone (OES = 0.9859; LCSES = 0.2966), and substantially better than AFB screening alone (OES = 0.9842; LCSES = 0.2124), which was considerably better than no screening (OES = 0.9829; LCSES = 0.1445). Monte Carlo simulation modeling revealed that expected survival in the screened population and lung cancer patients is highest when screened using CT and combined CT and AFB. CT alone and combined screening was substantially better than AFB screening alone or no screening. For LCSES, combined CT and AFB screening is significantly better than CT alone (0.3126 vs. 0.2938, p< 0.0001). Conclusions: Overall, these analyses suggest that combined CT and AFB is slightly better than CT alone at improving lung cancer survival, and both approaches are substantially better than AFB screening alone or no screening.

Automatic Structure Generation using Genetic Programming and Fractal Geometry

Three dimensional model design is a well-known and studied field, with numerous real-world applications. However, the manual construction of these models can often be time-consuming to the average user, despite the advantages o ffered through computational advances. This thesis presents an approach to the design of 3D structures using evolutionary computation and L-systems, which involves the automated production of such designs using a strict set of fitness functions. These functions focus on the geometric properties of the models produced, as well as their quantifiable aesthetic value - a topic which has not been widely investigated with respect to 3D models. New extensions to existing aesthetic measures are discussed and implemented in the presented system in order to produce designs which are visually pleasing. The system itself facilitates the construction of models requiring minimal user initialization and no user-based feedback throughout the evolutionary cycle. The genetic programming evolved models are shown to satisfy multiple criteria, conveying a relationship between their assigned aesthetic value and their perceived aesthetic value. Exploration into the applicability and e ffectiveness of a multi-objective approach to the problem is also presented, with a focus on both performance and visual results. Although subjective, these results o er insight into future applications and study in the fi eld of computational aesthetics and automated structure design.

Using Poetry, Story, and Reflection to Understand Professional Self After Personal Loss

This research investigated professional identity transformation after personal loss. Through autoethnographic methods, I explore how my personal experience of my sister’s breast cancer and death affected my identity as a diabetes educator in the health culture. I discover a transformation of a professional who focuses on evidence-based medicine to a professional who values connection, therapeutic alliance, and mindfulness with patients and self in the diabetes education encounter. Using a holistic perspective on transformational learning, I integrate the poem “Wild Geese” to a collection of written narratives to connect my personal loss experience to my professional life. By unpacking the generated stories and using poetry, I conduct a process of critical and self-reflection to discover how my identity as a health professional has transformed and what makes meaning in my role as a diabetes educator in the health culture. I consider concepts of a conscious self, social relations and language and discover themes of knowledge exchange, food, and empathy as forms of language expression. These language expressions are not present in my professional life as I focus on rational, logical facts of evidence-based medicine and standardized education methods. Through this reflexive process, I hope to understand how my professional practice has changed, where I place an importance on connection, therapeutic alliance, and mindfulness. I move away from always “doing” in my professional life to focus on my state of “being” in my professional world. Rather than knowledge acquisition as the only factor in professional development, this study contributes to an understanding of additional qualities health professionals may consider that focus on the patient education encounter.

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA R CUDA TM

Genetic Programming (GP) is a widely used methodology for solving various computational problems. GP's problem solving ability is usually hindered by its long execution times. In this thesis, GP is applied toward real-time computer vision. In particular, object classification and tracking using a parallel GP system is discussed. First, a study of suitable GP languages for object classification is presented. Two main GP approaches for visual pattern classification, namely the block-classifiers and the pixel-classifiers, were studied. Results showed that the pixel-classifiers generally performed better. Using these results, a suitable language was selected for the real-time implementation. Synthetic video data was used in the experiments. The goal of the experiments was to evolve a unique classifier for each texture pattern that existed in the video. The experiments revealed that the system was capable of correctly tracking the textures in the video. The performance of the system was on-par with real-time requirements.

Envelope addressed to Mr. Welland D. Woodruff from Caldwell, Masslich and Reed, Attorneys and Counsellors at Law

Envelope addressed to Mr. Welland D. Woodruff from Caldwell, Masslich and Reed, Attorneys and Counsellors at Law, New York, postmarked Hudson Terminal Station, New York, June 17, 1913.

Envelope addressed to Mr. Welland D. Woodruff from Caldwell, Masslich and Reed, Attorneys and Counsellors at Law

Envelope addressed to Mr. Welland D. Woodruff from Caldwell, Masslich and Reed, Attorneys and Counsellors at Law, New York, postmarked Hudson Terminal Station, New York, Sept. 22, 1913.

Benefits of Using Target Activities to Assist in Improvement of Striking in Striking and Fielding Games for Individuals with Autism: A Comparative Case Study

The purpose of the research study was to increase understanding about the potential benefits of combining target activities with striking-fielding games for individuals with high functioning autism spectrum disorder. A comparative case study was conducted to understand if target activities can assist in improving the skills of striking and throwing, aid the learning of tactics and add to current understanding of how certain teaching skills might be linked to the transfer between target and striking-fielding games. Data was collected through observations, student journals and interviews and were analyzed using both inductive and deductive methods. Results show an appearance of improvement in throwing, striking, bowling and badminton for overall skill levels. In regards to teaching skills, appropriate and effective teaching techniques, appropriate and effective equipment, dynamic of participants and student-instructors and consistency of attendance are vital. Future research should further look at the transferability to outdoor settings and interview the participants.

Envelope addressed to Mr. Welland D. Woodruff from Caldwell, Masslich and Reed

Envelope addressed to Mr. Welland D. Woodruff from Caldwell, Masslich and Reed, Attorneys and Counsellors at Law, New York, postmarked Hudson Terminal Station, New York, Sept. 23, 1913.