1,065 research outputs found

    The calculation of the wave drag of a family of low-drag axisymmetric nose shapes of fineness ratio 4.5 at zero incidence at supersonic speeds

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    The pressure drag coefficients of a particular family of convex logarithmic projectile nose shapes in which the nose angle is an important parameter have been calculated over a range of supersonic Mach numbers using a rapid approximate method due to Zienkiewicz.5 The optimum nose angle for minimum wave drag of these profiles for each Mach number has been obtained. It is shown that above N = 1.5„ approximately, the optimum shape is similar to the hypersonic optimum profile and has the sane or- less wave drag than this profile. However for values of M/F, where P is the fineness ratio, below 0.5, both the hypersonic and the logarithmic optimum profiles have a higher drag than the so-called cubic profile (Ref, 9)

    Withholding the choice of sodium valproate to young women with generalised epilepsy: Are we causing more harm than good?

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    PURPOSE: Although sodium valproate (VPA) remains the most effective antiepileptic for generalised and unclassified epilepsies, clinicians may be failing to discuss this treatment option because of guideline misinterpretation. Current guidelines recommend caution regarding teratogenic risks but do not advocate absolute avoidance. METHOD: We assessed VPA prescribing in young people attending a transition epilepsy clinic. We present six patients with idiopathic generalised epilepsy (IGE) in whom VPA had been initially avoided. RESULTS: Overall, the results were consistent with VPA's superior antiepileptic efficacy and ability to reduce harmful seizure-related complications. Young people denied of VPA showed prolonged periods of poor seizure control with medical, social and psychological complications. Following contraceptive counselling and VPA introduction, all six patients showed improved seizure control including seizure-freedom during follow-up of up to twenty-four months. There was also evidence of reduced seizure-related morbidity and improved educational and occupational functioning. Prior to referral, documentation revealed no discussion of VPA treatment options. CONCLUSION: Failure to prescribe valproate for IGE, particularly when another first-line treatment has failed, may not be in a young woman's best interests-particularly when they are most vulnerable to sequelae from uncontrolled seizures. Indiscriminate avoidance of valproate needs to be recognised as a misinterpretation of current epilepsy guidelines as it may harm young people. Although the use of valproate demands careful consideration, there remains a strong case to always discuss this medication because of its efficacy and potential to reduce seizure-related harm. Patients must be allowed to make their own informed decisions about effective epilepsy treatments.NoneThis is the author's accepted manuscript. The final version is available from Elsevier at: http://www.sciencedirect.com/science/article/pii/S1059131114002349

    Developing a health state classification system from NEWQOL for epilepsy using classical psychometric techniques and Rasch analysis: a technical report

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    Aims: Resource allocation amongst competing health care interventions is informed by evidence of both clinical- and cost-effectiveness. Cost-utility analysis is increasingly used to assess cost effectiveness through the use of Quality Adjusted Life Years (QALYs). This requires health state values. Generic measures of health related quality of life (HRQL) are usually used to produce these values, but there are concerns about their relevance and sensitivity in epilepsy. This study develops a health state classification system for epilepsy from the NEWQOL battery, a validated questionnaire measuring QoL in epilepsy. The classification system will be amenable to valuation for calculating QALYs. Methods: Factor and other psychometric analyses were undertaken to investigate the factor structure of the battery, and assess the validity and responsiveness of the items. These analyses were used alongside Rasch analysis to select the dimensions included in the classification system, and the items used to represent each domain. Analysis was carried out on a trial dataset of patients with epilepsy (n=1611). Rasch and factor analysis were performed on one half of the sample and validated on the remaining half. Dimensions and items were selected that performed well across all analyses. Results: The battery was found to demonstrate reliability and validity but responsiveness across time periods for many of the items was low. A six dimension classification system was developed: worry about seizures, depression, memory, cognition, stigmatism and control, each with four response levels. Conclusions: It is feasible to develop a health state classification system from a battery of instruments using a combination of classical psychometric, factor and Rasch analysis. This is the first condition-specific health state classification developed for epilepsy and the next stage will produce preference weights to enable the measure to be used in cost-utility analysis.quality adjusted life years; health related quality of life; Rasch analysis; preference-based measures of health; health states; epilepsy

    Developing a health state classification system from NEWQOL for epilepsy using classical psychometric techniques and Rasch analysis: A technical report

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    Aims: Resource allocation amongst competing health care interventions is informed by evidence of both clinical- and cost-effectiveness. Cost-utility analysis is increasingly used to assess cost effectiveness through the use of Quality Adjusted Life Years (QALYs). This requires health state values. Generic measures of health related quality of life (HRQL) are usually used to produce these values, but there are concerns about their relevance and sensitivity in epilepsy. This study develops a health state classification system for epilepsy from the NEWQOL battery, a validated questionnaire measuring QoL in epilepsy. The classification system will be amenable to valuation for calculating QALYs. Methods: Factor and other psychometric analyses were undertaken to investigate the factor structure of the battery, and assess the validity and responsiveness of the items. These analyses were used alongside Rasch analysis to select the dimensions included in the classification system, and the items used to represent each domain. Analysis was carried out on a trial dataset of patients with epilepsy (n=1611). Rasch and factor analysis were performed on one half of the sample and validated on the remaining half. Dimensions and items were selected that performed well across all analyses. Results: The battery was found to demonstrate reliability and validity but responsiveness across time periods for many of the items was low. A six dimension classification system was developed: worry about seizures, depression, memory, cognition, stigmatism and control, each with four response levels. Conclusions: It is feasible to develop a health state classification system from a battery of instruments using a combination of classical psychometric, factor and Rasch analysis. This is the first condition-specific health state classification developed for epilepsy and the next stage will produce preference weights to enable the measure to be used in cost-utility analysis

    Towards Bidirectional Ratcheted Key Exchange

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    A Quick Guide for Computer-Assisted Instruction in Computational Biology and Bioinformatics

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    Introduction: Computational Biology and Bioinformatics (CBB) are indispensable components in the training of life scientists [1–3]. Current curricula in the life sciences should prepare graduates who master quantitative and computer skills for increased levels of performance [4–6]. Equally important is that the application of the curricula is driven by an appropriate instructional paradigm and effective learning experiences. Teaching and learning with computers bring specific issues that should be considered beforehand by any instructor. The following Quick Guide for Computer-Assisted Instruction (CAI) outlines ten principles for effective teaching. The principles are aligned with current developments on human cognition and learning [7] and have been drawn from our own experience using CAI in seminars, tutorials, and distance education, in courses on Molecular Life Sciences at the undergraduate level, taught to majors in biology or in other subjects (e.g., nutrition, teaching of physics and chemistry, teaching of biology, sports). The Guide refers to the preparation, presentation, and assessment of CAI. It should be an aid for those who teach CBB with CAI in class, and it is expected to stimulate student motivation and deeper learning in CBB, thus making class time more effective and improving satisfaction of both students and instructors

    [A short history of anti-rheumatic therapy--VII. Biological agents].

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    The introduction of biological agents has been a major turning-point in the treatment of rheumatic diseases, particularly in rheumatoid arthritis. This review describes the principle milestones that have led, through the knowledge of the structure and functions of nucleic acids, to the development of production techniques of the three major families of biological agents: proteins, monoclonal antibodies and fusion proteins. A brief history has also been traced of the cytokines most involved in the pathogenesis of inflammatory rheumatic diseases (IL-1 and TNF) and the steps which have led to the use of the main biological drugs in rheumatology: anakinra, infliximab, adalimumab, etanercept and rituximab

    KUALITAS BAKSO BABI YANG DIBERI LAPISAN KARAGENAN

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    The aim of this study was to determine the effect of carrageenan  coating  on  water, protein, fat content, and organoleptics (color, taste and firmness) of pork meatball. The 3 kg of pork was taken from colar butt, used in this experiment. The method used was  completely randomized design (CRD) with 4 treatments and 3 replications. The treatments used were R0=  without carrageenan (as control), R1 =  2% carrageenan (w/w), R2= 4% carrageenan, R3 = 6% carrageenan. Data of water content,  protein and fat was analysed with analysis of Variance (ANOVA) and Duncan to test the different between treatments. While organoleptic data  was analysed with nonparametric Kruskal Wallis test and Mann Whitney to test the different between treatments.  untuk mengetahui perbedaan diantara perlakuan.  Result showed that treatment was significantly effect (p <0.05) on moisture, fat, color, taste, firmness of pork meatballs.  It can be concluded that the higher the level of carrageenan given the higher water content but the fat content was decreased.  The highest score of color, taste and firmness was  in meatball that coated with 6% carrageenan. ABSTRAK   Tujuan dari penelitian ini adalah untuk mengetahui pengaruh kualitas bakso babi yang diberi coating (pelapis) karagenan terhadap total kadar air, protein, lemak dan organoleptik (warna, rasa dan kekenyalan). Daging yang dipakai dalam penelitian ini yaitu daging babi bagian punggung depan/ colar butt sebanyak 3 kg. Metode yang digunakan adalah metode rancangan acak lengkap (RAL) 4x3. Perlakuan yang diberikan adalah Ro= tanpa penggunaan karagenan, sebagao control. R1= Penggunaan karagenan 2%. R2= Penggunaan karagenan 4%. R3= Penggunaan karagenan 6%. Setiap perlakuanterdiri dari 3 ulangan.  Data kadar air, protein dan lemak dianalisis menggunakan analisis of Varians (ANOVA) dan uji Duncan untuk mengetahui perbedaan diantara perlakuan. Data organoleptik dianalisis menggunana uji non parametrik Kruskal-Wallis dan uji Mann-Whitney untuk mengetahui perbedaan diantara perlakuan.  Hasil analisis statistik menunjukkan bahwa  perlakuan berpengaruh nyata (p <0,05) terhadap kadar air, lemak, warna, rasa, kekenyalan bakso daging babi. Disimpulkan bahwa semakin tinggi level yang diberi karagenan semakin meningkat nilai kadar air, dan nilai kadar lemak semakin kecil. Skor warna, rasa dan kekenyalan tertinggi adalah pada pemberian pelapis karagenan 6%
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