Simulation-assisted control in building energy management systems

Technological advances in real-time data collection, data transfer and ever-increasing computational power are bringing simulation-assisted control and on-line fault detection and diagnosis (FDD) closer to reality than was imagined when building energy management systems (BEMSs) were introduced in the 1970s. This paper describes the development and testing of a prototype simulation-assisted controller, in which a detailed simulation program is embedded in real-time control decision making. Results from an experiment in a full-scale environmental test facility demonstrate the feasibility of predictive control using a physically-based thermal simulation program

The relationship between challenge and threat states and performance: A systematic review

The biopsychosocial model of challenge and threat states specifies that these states engender different physiological and behavioral responses in potentially stressful situations. This model has received growing interest in the sport and performance psychology literature. The present systematic review examined whether a challenge state is associated with superior performance than a threat state. Across 38 published studies that conceptualized challenge and threat states in a manner congruent with the biopsychosocial model, support emerged for the performance benefits of a challenge state. There was, however, significant variation in the reviewed studies in terms of the measures of challenge and threat states, tasks, and research designs. The benefits of a challenge state on performance were largely consistent across studies using cognitive, physiological, and dichotomous challenge and threat measures, cognitive and behavioral tasks, and direct experimental, indirect experimental, correlational, and quasi-experimental designs. The results imply that sports coaches, company directors, and teachers might benefit from trying to promote a challenge state in their athletes, employees, and students, respectively. Future research could benefit from a greater consensus on how best to measure challenge and threat states to help synthesize the evidence across studies. Specifically, we recommend that researchers use both cognitive and physiological measures and develop stronger manipulations for experimental studies. Finally, future research should report sufficient information to enable risk of bias assessment

Cardiovascular and Cerebral Hemodynamic Responses to Ego Depletion in a Pressurized Sporting Task

This study examined the effects of ego depletion on challenge and threat states and cerebral haemodynamic responses to a pressurized muscular endurance task requiring self-control. Following ethical approval, 58 participants (39 males, 19 females; Mage = 28 years, SD = 12) were randomly assigned to either an experimental or control group. Participants then completed self-report measures of trait anxiety and self-control. Next, the experimental group performed a written transcription task requiring self-control, while the control group transcribed the text normally. Finally, before the pressurized muscular endurance task, challenge and threat states were assessed using demand and resource evaluations and cardiovascular reactivity; while cerebral perfusion in Fp1 and Fp2 was assessed using near-infrared spectroscopy. The results supported the effectiveness of the self-control manipulation, with the experimental group transcribing fewer words, making more errors, and regulating their writing habits more than the control group. Although there were no differences between the groups in terms of muscular endurance performance or challenge and threat states, there was a significant interaction of time (pre vs. post) x group (experimental vs. control) in cerebral perfusion. These findings suggest that ego depletion might not influence challenge and threat states, but may lead to reduced cerebral perfusion. As such, cerebral perfusion may be a novel marker which could be used to assess ego depletion

Parenclitic network mapping identifies response to targeted albumin therapy in patients hospitalized with decompensated cirrhosis

BACKGROUND: The efficacy of targeted albumin therapy in the management of decompensatory events in cirrhosis is unclear with different reports showing conflicting results. It is possible that only certain subgroups of patients may benefit from targeted albumin administration. However, extensive conventional subgroup analyses have not yet identified these subgroups. Albumin is an important regulator of physiological networks and may interact with homeostatic mechanism differently in patients according to the integrity of their physiological network. In the present study we aimed to assess the value of network mapping in predicting response to targeted albumin therapy in patients with cirrhosis. METHOD: This is a sub-study of the ATTIRE trial; a multicentre, randomized trial conducted to assess the effect of targeted albumin therapy in cirrhosis. Baseline serum bilirubin, albumin, sodium, creatinine, CRP, and white cell count (WCC), international normalised ratio, heart rate, and blood pressure of 777 patients followed up for 6 months were used for network mapping using parenclitic analysis. Parenclitic network analysis involves measuring the deviation of each individual patient from the existing network of physiological interactions in a reference population. RESULT: Overall network connectivity as well as deviations along WCC-CRP axis predicted 6-month survival independent of age and model for end-stage liver disease (MELD) in the standard care arm. Patients with lower deviation along the WCC-CRP axis showed lower survival in response to targeted albumin administration over 6-month follow-up period. Likewise, patients with higher overall physiological connectivity survived significantly less than the standard care group following targeted albumin infusion. CONCLUSION: The parenclitic network mapping can predict survival of patients with cirrhosis and identify patient subgroups that don't benefit from targeted albumin therapy

Equatorial adjusment in the Eastern Atlantic

Observations suggest that the annual upwelling event in the Gulf of Guinea is not associated with changes in the local winds. A possible explanation is that a strong upwelling signal, generated by increased westward wind stress in the Western Atlantic as an equatorially trapped Kelvin wave. This explanation is analogous to current theories of El Nino in the Pacific Ocean. (Résumé d'auteur

Wage losses in the year after breast cancer: Extent and determinants among Canadian women

This article is available open access through the publisher’s website at the link below. © The Author 2008.Background - Wage losses after breast cancer may result in considerable financial burden. Their assessment is made more urgent because more women now participate in the workforce and because breast cancer is managed using multiple treatment modalities that could lead to long work absences. We evaluated wage losses, their determinants, and the associations between wage losses and changes for the worse in the family's financial situation among Canadian women over the first 12 months after diagnosis of early breast cancer. Methods - We conducted a prospective cohort study among women with breast cancer from eight hospitals throughout the province of Quebec. Information that permitted the calculation of wage losses and information on potential determinants of wage losses were collected by three pretested telephone interviews conducted over the year following the start of treatment. Information on medical characteristics was obtained from medical records. The main outcome was the proportion of annual wages lost because of breast cancer. Multivariable analysis of variance using the general linear model was used to identify personal, medical, and employment characteristics associated with the proportion of wages lost. All statistical tests were two-sided. Results - Among 962 eligible breast cancer patients, 800 completed all three interviews. Of these, 459 had a paying job during the month before diagnosis. On average, these working women lost 27% of their projected usual annual wages (median = 19%) after compensation received had been taken into account. Multivariable analysis showed that a higher percentage of lost wages was statistically significantly associated with a lower level of education (Ptrend = .0018), living 50 km or more from the hospital where surgery was performed (P = .070), lower social support (P = .012), having invasive disease (P = .086), receipt of chemotherapy (P < .001), self-employment (P < .001), shorter tenure in the job (Ptrend < .001), and part-time work (P < .001). Conclusion - Wage losses and their effects on financial situation constitute an important adverse consequence of breast cancer in Canada.The Canadian Breast Cancer Research Alliance, Canadian Institutes of Health Research, and Fondation de l’Université Laval

Technical Note: In silico and experimental evaluation of two leaf-fitting algorithms for MLC tracking based on exposure error and plan complexity.

PURPOSE: Multileaf collimator (MLC) tracking is being clinically pioneered to continuously compensate for thoracic and pelvic motion during radiotherapy. The purpose of this work was to characterize the performance of two MLC leaf-fitting algorithms, direct optimization and piecewise optimization, for real-time motion compensation with different plan complexity and tumor trajectories. METHODS: To test the algorithms, both in silico and phantom experiments were performed. The phantom experiments were performed on a Trilogy Varian linac and a HexaMotion programmable motion platform. High and low modulation VMAT plans for lung and prostate cancer cases were used along with eight patient-measured organ-specific trajectories. For both MLC leaf-fitting algorithms, the plans were run with their corresponding patient trajectories. To compare algorithms, the average exposure errors, i.e., the difference in shape between ideal and fitted MLC leaves by the algorithm, plan complexity and system latency of each experiment were calculated. RESULTS: Comparison of exposure errors for the in silico and phantom experiments showed minor differences between the two algorithms. The average exposure errors for in silico experiments with low/high plan complexity were 0.66/0.88 cm2 for direct optimization and 0.66/0.88 cm2 for piecewise optimization, respectively. The average exposure errors for the phantom experiments with low/high plan complexity were 0.73/1.02 cm2 for direct and 0.73/1.02 cm2 for piecewise optimization, respectively. The measured latency for the direct optimization was 226 ± 10 ms and for the piecewise algorithm was 228 ± 10 ms. In silico and phantom exposure errors quantified for each treatment plan demonstrated that the exposure errors from the high plan complexity (0.96 cm2 mean, 2.88 cm2 95% percentile) were all significantly different from the low plan complexity (0.70 cm2 mean, 2.18 cm2 95% percentile) (P < 0.001, two-tailed, Mann-Whitney statistical test). CONCLUSIONS: The comparison between the two leaf-fitting algorithms demonstrated no significant differences in exposure errors, neither in silico nor with phantom experiments. This study revealed that plan complexity impacts the overall exposure errors significantly more than the difference between the algorithms

Foregrounding the Disciplines in Secondary Literacy Teaching and Learning: A Call for Change

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/88028/1/JAAL.52.2.1.pd