Dynamic upper atmospheric force model on stabilized vehicles for a high-precision trajectory computer program

The upper atmosphere model draws heavily on the behavior of the earth's upper atmosphere which exhibits cyclic as well as irregular variations in density profile, temperature, pressure, and composition in unison with solar activities as deduced from the more recent land-based and satellite observations. The lift and drag model is designed specifically for inertially stabilized vehicles of the Mariner class, with possible extension to gravity gradient stabilized vehicles of the GEOS class. The model considers operation in the free molecular flow regimes with large Knudsen numbers. The vehicle is considered a composite structure with basic components having well-defined shapes, each with its own surface characteristics in terms of temperature, reflectivity, and accommodation of free stream molecules. The model takes into account both the calculation of precise aerodynamic force coefficients in terms of expansion of modified Bessel functions in speed ratios and angle of attack, and approximate force coefficients when the speed ratios approach infinity. Other considerations include specular and diffused reflectivity, shielding, and shadow effects

The my experience of taking medicines (MYMEDS) questionnaire for assessing medicines adherence barriers in post-myocardial infarction patients: development and utility

Background: The ‘My Experience of Taking Medicines’ (MYMEDS) questionnaire is a self-reporting tool for identifying modifiable adherence barriers among individuals prescribed post-myocardial infarction (MI) secondary prevention medicines (SPM) in clinical practice. It was found to be a useful tool to support the conduction of patient-centred consultation in cardiology outpatient leading to improved outcomes including better adherence to SPM and patient satisfaction. This study describes the rationale and development of the MYMEDS tool, its performance and usefulness in identifying modifiable barriers to adherence in cardiology medical practice including user feedback of 204 consecutive post-MI patients who completed an evaluation based on MYMEDS. Methods: Modifiable non-adherence factors were initially identified based on literature review and stakeholder feedback. A draft MYMEDS questionnaire was piloted in 10 patients and adapted accordingly. The final version comprises six sections, covering current medicines, understanding and satisfaction with medicines, concerns about medicines, practical adherence barriers, fitting medicines into daily routine, and adherence to individual SPMs. The questionnaire was mailed to post-MI patients who then attended an outpatient medicines optimisation clinic. Results: Mean age was 70.5 years and 67.6% were male. The tool was effective in revealing modifiable adherence barriers that could be addressed during the consultation. There were high rates of concern that SPMs could be harmful (33.2%) or overprescribed (43.2%), practical issues with swallowing medicines (8.2%), opening packaging (7.3%) or accessing repeat prescriptions (5.2%), forgetfulness (19.7%), and concerns about inconvenience (13.5%). Mean number of barriers per patient was 1.8 ± 1.5. The medications most commonly associated with non-adherence were statins (21.5%), angiotensin II receptor blockers (21.1%), and antiplatelet agents (18.5%). In total, 42.5% of patients acknowledged non-adherence behaviour. Patient feedback on MYMEDS was positive, with near-unanimous agreement that it was simple, clear and not too long, and that it enabled them to raise any concerns they had about their medicines. Patients reported that their individual medicines related needs were better addressed. Conclusions: MYMEDS is a practical tool that can successfully identify modifiable barriers to SPM adherence which can be addressed in a clinical setting. It can be easily rolled out in daily clinical practice to enable individualised person-centred medicines optimisation consultation

Double precision trajectory program /DPTRAJ 2.2C/

Four part program computes trajectory of space probe moving in solar system and subject to variety of forces

Basic skin surgery interactive simulation: system description and randomised educational trial

Background: Learning the skills required for open surgery is essential for trainee progression towards more advanced technical procedures. Simulation supports skill enhancement at a time when exposure to actual surgical procedures and traditional apprentice-based teaching has declined. The proliferation of smartphone and tablet devices with rich, touch sensitive displays and increasing processing power makes a compelling argument for expanding accessibility further by development of mobile virtual simulations for training on demand in any setting, at any time.We present a tablet-based mobile simulation App for educating surgical trainees in the planning and surgical procedures involved in facial lesion resection and local skin flap surgery. Methods: Novel algorithms were developed and modules included in a mobile simulation App to teach concepts required for three defect reconstruction techniques: elliptical closure, bilateral advancement (H flap) and the semi-circular rotation flap, with additional resources such as videos and formal guidelines made available at relevant points in the simulation. A randomised educational trial was conducted using the mobile simulation App with 18 medical students that were divided equally into two groups: the intervention group learning using the new mobile simulation App, and a control group, undergoing traditional text-based self-study. The students were then assessed on knowledge and skills' acquisition through an MCQ and a task analysis score. Results: There was a statistically significant difference between the scores of students in the intervention group and the students in the non-intervention group in both forms of assessment, with an average multiple-choice assessment score of 62.95% points versus 56.73%, respectively (p = 0.0285), and an average task analysis score of 3.53 versus 2.58, respectively (p = 0.0139). Conclusions: Touch-based simulation provided an efficient and superior method of learning three different local flap techniques for facial soft tissue reconstruction, and helped recalling steps involved in the surgery in a fluid manner that also improved task performance

Adherence to secondary prevention medicines by coronary heart disease patients. First Reported Adherence

Background Non-adherence to evidence based secondary prevention medicines (SPM) by coronary heart disease (CHD) patients limits their expected benefits and may result in a lack of improvement or significant deterioration in health. This study explored self-reported non-adherence to SPM, barriers to adherence, and the perception that patients in West Yorkshire have about their medicines in order to inform practice and improve adherence. Methods In this cross-sectional study a specially designed postal survey (The Heart Medicines Survey) assessed medicines-taking behaviour using the Morisky Medicines Adherence 8 items Scale (MMAS-8), a modified version of the Single Question Scale (SQ), the Adherence Estimator (AE), Beliefs about Medicines Questionnaire(BMQ) and additional questions to explore practical barriers to adherence. Patients were also asked to make any additional comments about their medicines-taking experience. A purposive sample of 696 patients with long established CHD and who were on SPM for at least 3 months was surveyed. Ethical approval was granted by the local ethics committee. Results 503 (72%) patients participated in the survey. 52%, 34% and 11% of patients were prescribed at least four, three and two SPMs respectively. The level of non-adherence to collective SPM was 44%. The AE predicted that 39% of those had an element of intentional non-adherence. The contribution of aspirin, statins, clopidogrel, beta blockers, angiotensin converting enzyme inhibitors (ACEI) and angiotensin receptor blockers (ARBs) to overall non-adherence as identified by the SQ scale was 62%, 67%, 7%, 30%, 22% and 5%, respectively. A logistic regression model for overall non-adherence revealed that older age and female gender were associated with less non-adherence (OR = 0.96, 95% CI: 0.94, 0.98; OR = 0.56, 95% CI: 0.34, 0.93; respectively). Specific concern about SPM, having issues with repeat prescriptions and aspirin were associated with more non-adherence (OR = 1.12, 95% CI: 1.07, 1.18; OR = 2.48, 95% CI: 1.26, 4.90, OR = 2.22, 95% CI: 1.18, 4.17). Other variables were associated with intentional and non-intentional non-adherence. 221 (44%) patients elaborated on their medicines-taking behaviour by providing additional comments about the need for patient tailored information and better structured medicines reviews. Conclusions The Medicines Heart Survey was successful in revealing the prevalence of self-reported non-adherence and barriers to adherence in our population. Healthcare professionals should examine specific modifiable barriers to adherence in their population before developing interventions to improve adherence. Conducting frequent structured medicines-reviews, which explore and address patients' concerns about their medicines and healthcare services, and enable them to make suggestions, will better inform practice and may improve adherence

Solving the Direction Field for Discrete Agent Motion

Models for pedestrian dynamics are often based on microscopic approaches allowing for individual agent navigation. To reach a given destination, the agent has to consider environmental obstacles. We propose a direction field calculated on a regular grid with a Moore neighborhood, where obstacles are represented by occupied cells. Our developed algorithm exactly reproduces the shortest path with regard to the Euclidean metric.Comment: 8 pages, 4 figure