Exploring Strategies for Teaching Creatively Online

The way we learn and teach is changing. There is more emphasis on collaboration and personalization of the learning. Teaching online is becoming common. For my Master’s project I have developed a product that will help designing and delivering teaching programs creatively through the use of online learning opportunities. The product discusses the opportunities and challenges of a creative climate when teaching online and provides strategies to develop creativity during the online learning process. It is developed with the use of the Torrance Incubation Model of Teaching and Learning (TIM) and Ekvall’s ten dimensions of a creative climate. This paper describes the process of developing the product. Relevant literature and resources about creative climate, TIM and teaching in an online environment are identified. A first version of the product is received as comprehensive and useful. It needs further development to make the product appropriate for a broader audience. The process of developing the product has shown the importance of experimenting and of keeping your goal in mind and acting deliberately towards your goal

Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

In this article, we propose a tractable nonlinear fault isolation filter along with explicit performance bounds for a class of nonlinear dynamical systems. We consider the presence of additive and multiplicative faults, occurring simultaneously and through an identical dynamical relationship, which represents a relevant case in several application domains. The proposed filter architecture combines tools from model-based approaches in the control literature and regression techniques from machine learning. To this end, we view the regression operator through a system-theoretic perspective to develop operator bounds that are then utilized to derive performance bounds for the proposed estimation filter. In the case of constant, simultaneously and identically acting additive and multiplicative faults, it can be shown that the estimation error converges to zero with an exponential rate. The performance of the proposed estimation filter in the presence of incipient faults is validated through an application on the lateral safety systems of SAE level 4 automated vehicles. The numerical results show that the theoretical bounds of this study are indeed close to the actual estimation error.Comment: 24 pages, 8 figure

Expected survival with and without second-line palliative chemotherapy: who wants to know?

Background According to surveys, many patients with advancedcancer wish to receive survival information.Objective This study invest igated information preferences by offer-ing patients a decision aid (DA) with infor mation on expected sur-vival for two treatment options: supportive care with or withoutsecond-line palliative chemotherapy. Predicto rs of accepting sur-vival information were explored.Design Eligible patients in this multicentre prospective study wereoffered secon d-line chemotherapy for advanced breast or colorectalcancer. A nurse presented a DA on second-line treatment andasked patients whether they desired information on (i) adverseevents, (ii) tumour response and (iii) survival. Data on 50 clinicaland psychosocial patient characteristics were collected from inclu-sion forms and patient questionnaires.Results Seventy-seven patients received a DA; median age62 years (range 32–80), 61% female, 77% colorectal cancer. Fifty-seven patients (74%; 95% CI 64–84) desired survival information.Four psychosocial characteristics (e.g . deliberative decision style)independently predicted information desire. However, the use ofthese characteristics to predict information desire hardly outper-formed a simple prediction rule.Conclusions Many patients desired information on expected sur-vival when deciding about second-line treatment. However, ourexploratory analysis indicated that patients desiring this informa-tion could not be identified based on their clinical or psychosocialcharacteristics. These findings can help encourage candid discus-sions about expected survival. Health professionals should be care-ful not to make implicit assumptions of information desire based on patient characteristics, but to explicitly ask patients if survivalinformation is desired, and act accordingly

Chronic consumers of boiled coffee have elevated serum levels of lipoprotein(a)

OBJECTIVES: Lipoprotein(a) consists of an LDL-particle attached to apolipoprotein(a), which is made by the liver. Diterpenes present in boiled coffee raise serum levels of LDL cholesterol and of the liver enzyme alanine aminotransferase in man. We investigated the association between intake of boiled coffee and serum levels of lipoprotein(a). DESIGN, SETTING AND SUBJECTS: Healthy Norwegians 40-42 years of age, who habitually consumed five or more cups of boiled coffee per day (n = 150) were compared with matched filter coffee consumers (n = 159) in a cross-sectional study, as part of the Norwegian National Health Screening in 1992. RESULTS: The median lipoprotein(a) level was 13.0 mg dL-1 (10th and 90th percentile: 2.5 and 75.0 mg dL-1, respectively) on boiled and 7.9 mg dL-1 (10th and 90th percentile: 1.9 and 62.5 mg dL-1, respectively) on filter coffee (P = 0.048). Means /- SE were 25.8 /- 2.4 mg dL-1 and 19.6 /- 2.0 mg dL-1, respectively (P = 0.04). Although not statistically significant, subjects consuming nine or more cups of coffee per day had higher lipoprotein(a) levels than those drinking five to eight cups per day in both coffee groups. CONCLUSION: Chronic consumers of unfiltered, boiled coffee have higher serum levels of lipoprotein(a) than filter coffee drinkers

Diterpenes from coffee beans decrease serum levels of lipoprotein(a) in humans: results from four randomized controlled trials

Objective: Unfiltered coffee raises serum LDL cholesterol in humans, owing to the presence of the diterpenes cafestol and kahweol. Norwegians with a chronic high intake of unfiltered coffee also had elevated serum levels of lipoprotein(a), an LDL-like particle which is insensitive toward dietary interventions. We now experimentally studied the influence of coffee diterpenes on lipoprotein(a) levels. Design: Four randomised controlled trials. Subjects: Healthy, normolipidemic volunteers. Interventions: Coffee, coffee oil, and pure diterpenes for 4-24 weeks. Main outcome measures: The circulating level of lipoprotein(a). Results: In 22 subjects drinking five to six strong cups of cafetiere coffee per day, the median fall in lipoprotein(a) was 1.5 mg/dL after two months (P=0.03), and 0.5 mg/dL after half a year (P>0.05), relative to 24 filter coffee drinkers. Coffee oil doses equivalent to 10-20 cups of unfiltered coffee reduced lipoprotein(a) levels by up to 5.5 mg/dL (P<0.05) in two separate trials (n=12-16 per group). A purified mixture of cafestol and kahweol, as well as cafestol alone, were also effective in reducing Lp(a) levels (n=10). Averaged over the four trials, each 10 mg/d of cafestol (plus kahweol)?the amount present in two to three cups of cafetiere coffee?decreased Lp(a) levels by 0.5 mg/dL or 4% from baseline values after four weeks (n=63). Conclusions: Coffee diterpenes are among the few dietary exceptions shown to influence serum lipoprotein(a) levels. However, the Lp(a)-reducing potency of coffee diterpenes may subside in the long run, and their adverse side effects preclude their use as lipoprotein(a)-reducing agents. Sponsorship: Supported by the Netherlands Heart Foundation through grant No. 900-562-091 of the Netherlands Organization of Scientific Research (NWO), plus supplemental funding by the Institute for Scientific Information on Coffee