Education and Sustainability: The Case of Emotions Park

Firms working in the third millennium have to face the challenge of being more sustainable. The complexity and the multidisciplinary nature of sustainability also requires new and specific knowledge. This means the necessity of a critical rethinking of the education system in the way to provide the cognitive tools and applications needed for new generations to address environmental, economic, and social challenges. In this perspective, the role of the school it is crucial, above all, to encourage attention to include sustainability as a theme on educational programs, focusing on the promotion of its multiple dimensions. Interdisciplinary sustainability programs are emerging globally, but little is known about the learning in these educational contexts. Therefore, the current research explores training modules used in the activities of a park to verify how students can receive a sustainable education from primary school; whether and in which way education can be a driver for the promotion of sustainable development; and whether it is effective to insert eco-activities such as eco-games, eco-campus, and eco-sports in the training modules from primary school onwards. For this purpose, the paper employed a single case study approach using the Emotions Park as a teaching plan. In particular, game and sports constantly accompany the training process by creating interdisciplinary links with different study subjects (e.g., civic education, environmental education, communication). Through the eco-activities, an innovative way to promote environmental and sustainability education was explored as a training model. Outdoor play, observation, and stimulation of the senses have proved powerful learning tools, and key to the acquisition of skills. Research data were collected observing the behavior of a sample of 22 participants and through face-to-face semi-structured interviews with educators, employee and students. The empirical observation suggests that inserting the sustainability principles as a topic in didactic programs provides the cognitive tools and applications needed for the new generations to address environmental, economic, and social challenges

Optimizing detection of RET and PPARg rearrangements in thyroid neoplastic cells using a home-brew tetracolor probe

BACKGROUND Fluorescence in situ hybridization (FISH) to identify specific DNA target sequences in the nuclei of nondividing cells of numerous solid neoplasms has contributed to the introduction of molecular cytogenetics as a useful adjunct to cytology, leading recently to the "marriage" of the 2 disciplines. Numerous cancer molecular markers can now be investigated using different technical approaches, at both the gene and expression levels, in biopsies of various suspected cancers, including differentiated thyroid carcinoma. The limited amount of bioptic material is often insufficient to carry out multiple tests, and optimizing handling of the biopsy is desirable. METHODS We have developed a home-brew tetracolor break-apart probe able to simultaneously identify the 2 most common genetic alterations in differentiated thyroid carcinoma: RET/PTC variants in papillary thyroid carcinoma and PAX8/PPARg fusion and variants in follicular thyroid carcinoma. RESULTS The probe had 100% specificity, 99.5% sensitivity, and >= 3% cutoff. The probe was tested on RET/PTC and PAX8/PPARg RT-PCR positive controls, and feasibility was assessed in 368 thyroid nodule fine-needle aspirations (FNA). In the latter analysis, 24 FNAs had split RET signal, and 9 had split PPARg signal. FISH analysis of available surgically removed nodules confirmed the sensitivity of FISH in detecting abnormal clones and oligoclones. CONCLUSIONS The home-brew tetracolor probe showed high feasibility, optimizing the use of the biological material in relation to the available molecular tests and maximizing the FISH experimental and slide-scoring times. This probe may be considered an alternative to RT-PCR when recovery and quality of RNA amplification from FNA are insufficient

nonlinear model predictive control strategy for steam turbine rotor stress

Abstract The paper proposes a Nonlinear Model Predictive Control strategy for the control of steam turbines rotor thermal stresses, which exploits the approximation of the turbine rotor as an infinite cylinder subjected to external convection. The Nonlinear Model Predictive Control allows optimizing the control strategy in the long term, by significantly reducing the machine start-up time during the power up ramp. This study proposes two different control strategies: the former one is based on the control of the Heat Transfer Coefficient, correlated to the inlet valve stroke. The latter one is based on the control of Heat Transfer Coefficient and the boiler steam temperature reference. Both strategies achieve good results in shortening the start-up time. The overall approach is validated and currently under development on Programmable Logic Controller platforms to the aim of code optimization

The first case exploring the health management of dogs owned by a man suffering from Ebola (EVD) in Italy

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Effects of ivabradine on residual myocardial ischemia after PCI evaluated by stress echocardiography

Background. Residual angina after PCI is a frequently occurring disease. Ivabradine improves symptoms but its role in patients without left ventricular systolic dysfunction is still unclear. The aim was to quantify the effects of ivabradine in terms of MVO 2 indicators and diastolic function. Methods. Twenty-eight consecutive patients with residual angina after PCI were randomized to ivabradine 5 mg twice/day (IG) or standard therapy (CG). All patients performed a stress echocardiography at the enrollment and after 30 days. MVO 2 was estimated from double product (DP) and triple product (TP) integrating DP with ejection time (ET). Diastolic function was evaluated determining E and A waves, E′ measurements, and E/E′ ratio both at rest and at the peak of exercise. Results. The exercise time was longer in IG 9′49″ ± 48″ vs 8′09″ ± 59″ in CG (p=0.0001), reaching a greater workload (IG 139.3 ± 13.4 vs CG 118.7 ± 19.6 Watts; p=0.003). MVO 2 expressed with DP and TP was significantly higher in IG (DP: IG 24194 ± 2697 vs CG 20358 ± 4671.8, p=0.01; TP: IG 17239 ± 4710 vs CG 12206 ± 4413, p=0.007). At peak exercise, the ET was diminished in IG than CG. The analysis of diastolic function after the exercise revealed an increase of E and A waves, without difference in the E/A ratio. The E′ wave was higher in IG than CG, and in the same group, the differences between baseline and peak exercise were greater (ΔE′3.14 ± 0.7 vs 2.4 ± 1.13, p=0.047). The E/E′ ratio was reduced in patients treated with ivabradine (IG 10.2 ± 2.0 vs CG 7.9 ± 1.6, p=0.002). Conclusions. Ivabradine seems to produce a significant improvement of ischemic threshold, chronotropic reserve, and diastolic function

Chicago Alliance For Equity in Computer Science

CAFECS is committed to ensuring that all students in Chicago participate in engaging, relevant, and rigorous computing experiences by addressing problems of practice through research and development that increases opportunities for all students to pursue computing pathways and prepares all students for the future of work

From controlling single processes to the complex automation of process chains by artificially intelligent control systems: the ControlInSteel project

The ControlInSteel project, a cooperation of four research institutes, revisited research projects of the last 20 years focusing on automation and control solutions applied to the downstream steel production route. During this investigation we found hints to those solutions, which were beneficial for specific problems. For our analysis, 46 projects were systematically reviewed. Taxonomies for the problem space, the solution space, the barriers and issues and the impact were developed and each project categorized along these taxonometrical dimensions. As a result, the interdependencies between solutions and impact could be analysed in a quantifiable way, which led to a new way of evaluating project success. It also brought new insights about the most promising techniques already applied and those techniques, that have been apparently not yet been applied to steel production, although being highly successful in other domains. This leads to potential future research chances for the steel production and their complex process chains. The paper will also finally demonstrate how a similar taxonometrical approach can be used to conserve expert knowledge in automation to feed a truly artificially intelligent control solution - not only exploiting machine learning methods but essentially using machine reasoning on top of the digitized expert knowledge to achieve improved process automation