991 resultados para university-school collaborations


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Vaclav Havel changed history as an advocate of freedom and universal human rights. A playwright, essayist, poet, dissident, and politician, Havel became a symbol of the civic opposition to the communist government in Czechoslovakia. After the Prague “Velvet Revolution” that toppled the communist regime, Havel became president of Czechoslovakia, and later the first president of the Czech Republic. Ten years ago, on September 21, 2002, President Vaclav Havel came to FIU and delivered memorable remarks about freedom and in support of a peaceful transition to democracy in Cuba. Madeleine K. Albright is Chair of Albright Stonebridge Group, a global strategy firm, and Chair of Albright Capital Management LLC, an investment advisory firm focused on emerging markets. She was the 64th Secretary of State of the United States. On May 29, 2012, Dr. Albright received the Presidential Medal of Freedom, the nation’s highest civilian honor, from President Obama. She received an honorary degree from FIU in 1996. Dr. Albright is a Professor in the Practice of Diplomacy at the Georgetown University School of Foreign Service. The panel discussion includes: Thomas Dine, President of the American Friends of the Czech Republic The Honorable Petr Gandalovic, Ambassador of the Czech Republic to the U.S. Carl Gershman, President of the National Endowment for Democracy Martin Palous, Director, Vaclav Havel Library, SIPA Senior Fellow Marifeli Perez-Stable, Interim Director, Latin American and Caribbean Center

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The third issue of the column deals with the regeneration of inner-city rail station areas. The successful case of Gare Saint-Lazare in Paris is analyzed by Giulio Verdini, an architect and urban planner based in China and Paris. The quality of this recent project is evident at different levels: as an innovative experiment of planning with public consultation, as a new mixed-used neighbourhood organized around a beautiful park, as a collection of interesting contemporary buildings promoted through open architecture competitions. The memory of the old rails has been interpreted as an occasion for creating significant urban connections, and the city of Paris demonstrated again and again its rare capacity to regenerate itself. 内城火车站区域的更新历来不是件轻松的工作,这在1990年代以来诸多的欧洲城市中都已经得到印证.伦敦的国王十字车站和柏林的中央火车站区域都是著名的更新案例,此外还有鹿特丹和斯图加特中央火车站这些争议性的案例,它们都表明了这个更新过程有多么复杂而难料.其原因包括众多相互角力的私人及公众影响、改造带来的未知花费及收益,以及市民群体在其中扮演的越来越重要的角色.这个位于巴黎17区的克里希·巴蒂涅奥勒开发区更新项目同样如此.不过,随着项目的建造渐入佳境,我们愈发可以看出,它很可能会成为欧洲内城最成功的更新案例之一.这篇简要介绍的目的就是勾勒出这一成功案例背后的构思和动机,以展现这个理应矛盾重重而得到未充分利用的地段如何成为让巴黎西北区改头换面的良机.

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Design is increasingly a global activity: addressing issues that challenge and affect people and populations other than our own, involving stakeholders from many cultures, realized through borderless networks of knowledge, services, materials, manufacturing and distribution. There is an appetite among graduates, especially in design and engineering, to broaden horizons and raise ambitions, to tackle big issues through innovation to bring about life-changing or world-changing impact. Employers demand such thinkers and doers: culturally attuned, multidisciplinary and T-shaped, unafraid to shake things up. In 2013, twelve postgraduates embarked on a new joint Masters course in London; students from eight different nations, studying together in three capital cities over two years. This programme is a collaboration between four centres of academic excellence in UK, USA and Japan; these students soon become its first graduating cohort, having experienced differing teaching styles, perspectives and specialisms around design, technology and innovation from four world-class institutions; immersion in three very different cultures; collaboration with students and faculty from many diverse disciplines and cultures; forming friendships and networks spanning the globe. This paper outlines the rationale and philosophy of the course, the challenges in its realisation and development so far, and its likely future evolution.

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As the global population becomes increasingly urban, research is needed to explore how local culture, land use, and policy will influence urban natural resource management. We used a broad-scale comparative approach and survey of residents within the Portland (Oregon)-Vancouver (Washington) metropolitan areas, USA, two states with similar geographical and ecological characteristics, but different approaches to land-use planning, to explore resident perceptions about natural resources at three scales of analysis: property level (“at or near my house”), neighborhood (“within a 20-minute walk from my house”), and metro level (“across the metro area”). At the metro-level scale, nonmetric multidimensional scaling revealed that the two cities were quite similar. However, affinity for particular landscape characteristics existed within each city with the greatest difference generally at the property-level scale. Portland respondents expressed affinity for large mature trees, tree-lined streets, public transportation, and proximity to stores and services. Vancouver respondents expressed affinity for plentiful accessible parking. We suggest three explanations that likely are not mutually exclusive. First, respondents are segmented based on preferences for particular amenities, such as convenience versus commuter needs. Second, historical land-use and tax policy legacies may influence individual decisions. Third, more environmentally attuned worldviews may influence an individual’s desire to produce environmentally friendly outcomes. Our findings highlight the importance of acknowledging variations in residents’ affinities for landscape characteristics across different scales and locations because these differences may influence future land-use policies about urban natural resources.

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Global environmental change (GEC) is an increasingly discussed phenomenon in the scientific literature as evidence of its presence and impacts continues to grow. Yet, while the documentation of GEC is becoming more readily available, local perceptions of GEC— particularly in small-scale societies—and preferences about how to deal with it, are still largely overlooked. Local knowledge and perceptions of GEC are important in that agents make decisions (including on natural resource management) based on individual perceptions. We carried out a systematic literature review that aims to provide an exhaustive state-of-the-art of the degree to and manner in which the study of local perceptions of change are being addressed in GEC research. We reviewed 126 articles found in peer-reviewed journals (between 1998 and 2014) that address local perceptions of GEC. We used three particular lenses of analysis that are known to influence local perceptions, namely (i) cognition, (ii) culture and knowledge, and (iii) possibilities for adaptation.We present our findings on the geographical distribution of the current research, the most common changes reported, perceived drivers and impacts of change, and local explanations and evaluations of change and impacts. Overall, we found the studies to be geographically biased, lacking methodological reporting, mostly theory based with little primary data, and lacking of indepth analysis of the psychological and ontological influences in perception and implications for adaptation. We provide recommendations for future GEC research and propose the development of a “meta-language” around adaptation, perception, and mediation to encourage a greater appreciation and understanding of the diversity around these phenomena across multiple scales, and improved codesign and facilitation of locally relevant adaptation and mitigation strategies.

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As natural areas, agricultural lands, and open spaces continue to be developed at unprecedented rates, it is important for land conservation professionals to understand the individuals who might play a role in permanently protecting these lands and their ecological services. Many factors have been shown to influence land protection decisions among private owners, including land-use activities, demographic characteristics, and environmental intention and behavior. With the hypothesis that individuals already involved in land conservation programs would be candidates for permanent protection, we set out to model conservation easement decisions within a group of participants in southern Indiana’s Classified Forest and Wildlands Program (ICFWP). We used a mailed questionnaire to survey 500 landowners, garnering 308 responses, about their interest in conservation easements. Our results indicated significant positive relationships between interest in conservation easements with variables representing perception of landscape change, outdoor recreation behavior as an adult, and environmental organization membership. By better understanding the ways these factors promote permanent land-use decisions, land conservation professionals can better allocate limited resources through strategic investments in targeting and outreach.

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An increasingly older population will most likely lead to greater demands on the health care system, as older age is associated with an increased risk of having acute and chronic conditions. The number of diseases or disabilities is not the only marker of the amount of health care utilized, as persons may seek hospitalization without a disease and/or illness that requires hospital healthcare. Hospitalization may pose a severe risk to older persons, as exposure to the hospital environment may lead to increased risks of iatrogenic disorders, confusion, falls and nosocomial infections, i.e., disorders that may involve unnecessary suffering and lead to serious consequences. Aims: The overall aim of this thesis was to describe and explore individual trajectories of cognitive development in relation to hospitalization and risk factors for hospitalization among older persons living in different accommodations in Sweden and to explore older persons' reasons for being transferred to a hospital. Methods: The study designs were longitudinal, prospective and descriptive, and both quantitative and qualitative methods were used. Specifically, latent growth curve modelling was used to assess the association of cognitive development with hospitalization. The Cox proportional hazards regression model was used to analyse factors associated with hospitalization risk overtime. In addition, an explorative descriptive design was used to explore how home health care patients experienced and perceived their decision to seek hospital care. Results: The most common reasons for hospitalization were cardiovascular diseases, which caused more than one-quarter of first hospitalizations among the persons living in ordinary housing and nursing home residents (NHRs). The persons who had been hospitalized had a lower mean level of cognitive performance in general cognition, verbal, spatial/fluid, memory and processing speed abilities compared to those who had not been hospitalized. Significantly steeper declines in general cognition, spatial/fluid and processing speed abilities were observed among the persons who had been hospitalized. Cox proportional hazards regression analysis showed that the number of diseases, number of drugs used, having experienced a fall and being assessed as malnourished according to the Mini Nutritional Assessment scale were related to an increased hospitalization risk among the NHRs. Among the older persons living in ordinary housing, the risk factors for hospitalization were related to marital status, i.e., unmarried persons and widows/widowers had a decreased hospitalization risk. In addition, among social factors, receipt of support from relatives was related to an increased hospitalization risk, while receipt of support from friends was related to a decreased risk. The number of illnesses was not associated with the hospitalization risk for older persons in any age group or for those of either sex, when controlling for other variables. The older persons who received home health care described different reasons for their decisions to seek hospital care. The underlying theme of the home health care patients’ perceptions of their transfer to a hospital involved trust in hospitals. This trust was shared by the home health care patients, their relatives and the home health care staff, according to the patients. Conclusions: This thesis revealed that middle-aged and older persons who had been hospitalized exhibited a steeper decline in cognition. Specifically, spatial/fluid, processing speed, and general cognitive abilities were affected. The steeper decline in cognition among those who had been hospitalized remained even after controlling for comorbidities. The most common causes of hospitalization among the older persons living in ordinary housing and in nursing homes were cardiovascular diseases, tumours and falls. Not only health-related factors, such as the number of diseases, number of drugs used, and being assessed as malnourished, but also social factors and marital status were related to the hospitalization risk among the older persons living in ordinary housing and in nursing homes. Some risk factors associated with hospitalization differed not only between the men and women but also among the different age groups. The information provided in this thesis could be applied in care settings by professionals who interact with older persons before they decide to seek hospital care. To meet the needs of an older population, health care systems need to offer the proper health care at the most appropriate level, and they need to increase integration and coordination among health care delivered by different care services.

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Metal cylindrical storage structures of significant size, such as silos and vertical-axis tanks, are almost always constructed from many short cylindrical shells of different thickness as the stress resultants on the wall progressively increase towards the base. The resulting increases in thickness are always made in step changes using metal sheets of uniform thickness because of the availability of such source materials. The result is a shell with a stepped wall with multiple discrete steps in thickness. Such shells are very susceptible to buckling under external pressure when empty or partially filled, but the buckling mode may involve only part of the shell height due to the changes in shell thickness. These changes must therefore be accounted for within the design process. A new method of determining the critical buckling resistance of such shells was recently developed, and although it has been shown to be valid, the methodology for its application in practical design has not been set out or shown. This paper therefore briefly describes the new method and demonstrates the manner in which it can be used to produce rapid, safe assessments of cylindrical shells with a wide range of patterns of wall thickness changes. The results are then suitable for direct introduction into such documents as the European standard on metal shells [1] and the ECCS Recommendations [2].

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In the deregulated Power markets it is necessary to have a appropriate Transmission Pricing methodology that also takes into account “Congestion and Reliability”, in order to ensure an economically viable, equitable, and congestion free power transfer capability, with high reliability and security. This thesis presents results of research conducted on the development of a Decision Making Framework (DMF) of concepts and data analytic and modelling methods for the Reliability benefits Reflective Optimal “cost evaluation for the calculation of Transmission Cost” for composite power systems, using probabilistic methods. The methodology within the DMF devised and reported in this thesis, utilises a full AC Newton-Raphson load flow and a Monte-Carlo approach to determine, Reliability Indices which are then used for the proposed Meta-Analytical Probabilistic Approach (MAPA) for the evaluation and calculation of the Reliability benefit Reflective Optimal Transmission Cost (ROTC), of a transmission system. This DMF includes methods for transmission line embedded cost allocation among transmission transactions, accounting for line capacity-use as well as congestion costing that can be used for pricing using application of Power Transfer Distribution Factor (PTDF) as well as Bialek’s method to determine a methodology which consists of a series of methods and procedures as explained in detail in the thesis for the proposed MAPA for ROTC. The MAPA utilises the Bus Data, Generator Data, Line Data, Reliability Data and Customer Damage Function (CDF) Data for the evaluation of Congestion, Transmission and Reliability costing studies using proposed application of PTDF and other established/proven methods which are then compared, analysed and selected according to the area/state requirements and then integrated to develop ROTC. Case studies involving standard 7-Bus, IEEE 30-Bus and 146-Bus Indian utility test systems are conducted and reported throughout in the relevant sections of the dissertation. There are close correlation between results obtained through proposed application of PTDF method with the Bialek’s and different MW-Mile methods. The novel contributions of this research work are: firstly the application of PTDF method developed for determination of Transmission and Congestion costing, which are further compared with other proved methods. The viability of developed method is explained in the methodology, discussion and conclusion chapters. Secondly the development of comprehensive DMF which helps the decision makers to analyse and decide the selection of a costing approaches according to their requirements. As in the DMF all the costing approaches have been integrated to achieve ROTC. Thirdly the composite methodology for calculating ROTC has been formed into suits of algorithms and MATLAB programs for each part of the DMF, which are further described in the methodology section. Finally the dissertation concludes with suggestions for Future work.

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It has been established that Wingate-based high-intensity training (HIT) consisting of 4 to 6 x 30-s all-out sprints interspersed with 4-min recovery is an effective training paradigm. Despite the increased utilisation of Wingate-based HIT to bring about training adaptations, the majority of previous studies have been conducted over a relatively short timeframe (2 to 6 weeks). However, activity during recovery period, intervention duration or sprint length have been overlooked. In study 1, the dose response of recovery intensity on performance during typical Wingate-based HIT (4 x 30-s cycle all-out sprints separated by 4-min recovery) was examined and active recovery (cycling at 20 to 40% of V̇O2peak) has been shown to improve sprint performance with successive sprints by 6 to 12% compared to passive recovery (remained still), while increasing aerobic contribution to sprint performance by ~15%. In the following study, 5 to 7% greater endurance performance adaptations were achieved with active recovery (40%V̇O2peak) following 2 weeks of Wingate-based HIT. In the final study, shorter sprint protocol (4 to 6 x 15-s sprints interspersed with 2 min of recovery) has been shown to be as effective as typical 30-s Wingate-based HIT in improving cardiorespiratory function and endurance performance over 9 weeks with the improvements in V̇O2peak being completed within 3 weeks, whereas exercise capacity (time to exhaustion) being increased throughout 9 weeks. In conclusion, the studies demonstrate that active recovery at 40% V̇O2peak significantly enhances endurance adaptations to HIT. Further, the duration of the sprint does not seem to be a driving factor in the magnitude of change with 15 sec sprints providing similar adaptations to 30 sec sprints. Taken together, this suggests that the arrangement of recovery mode should be considered to ensure maximal adaptation to HIT, and the practicality of the training would be enhanced via the reduction in sprint duration without diminishing overall training adaptations.

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Current Ambient Intelligence and Intelligent Environment research focuses on the interpretation of a subject’s behaviour at the activity level by logging the Activity of Daily Living (ADL) such as eating, cooking, etc. In general, the sensors employed (e.g. PIR sensors, contact sensors) provide low resolution information. Meanwhile, the expansion of ubiquitous computing allows researchers to gather additional information from different types of sensor which is possible to improve activity analysis. Based on the previous research about sitting posture detection, this research attempts to further analyses human sitting activity. The aim of this research is to use non-intrusive low cost pressure sensor embedded chair system to recognize a subject’s activity by using their detected postures. There are three steps for this research, the first step is to find a hardware solution for low cost sitting posture detection, second step is to find a suitable strategy of sitting posture detection and the last step is to correlate the time-ordered sitting posture sequences with sitting activity. The author initiated a prototype type of sensing system called IntelliChair for sitting posture detection. Two experiments are proceeded in order to determine the hardware architecture of IntelliChair system. The prototype looks at the sensor selection and integration of various sensor and indicates the best for a low cost, non-intrusive system. Subsequently, this research implements signal process theory to explore the frequency feature of sitting posture, for the purpose of determining a suitable sampling rate for IntelliChair system. For second and third step, ten subjects are recruited for the sitting posture data and sitting activity data collection. The former dataset is collected byasking subjects to perform certain pre-defined sitting postures on IntelliChair and it is used for posture recognition experiment. The latter dataset is collected by asking the subjects to perform their normal sitting activity routine on IntelliChair for four hours, and the dataset is used for activity modelling and recognition experiment. For the posture recognition experiment, two Support Vector Machine (SVM) based classifiers are trained (one for spine postures and the other one for leg postures), and their performance evaluated. Hidden Markov Model is utilized for sitting activity modelling and recognition in order to establish the selected sitting activities from sitting posture sequences.2. After experimenting with possible sensors, Force Sensing Resistor (FSR) is selected as the pressure sensing unit for IntelliChair. Eight FSRs are mounted on the seat and back of a chair to gather haptic (i.e., touch-based) posture information. Furthermore, the research explores the possibility of using alternative non-intrusive sensing technology (i.e. vision based Kinect Sensor from Microsoft) and find out the Kinect sensor is not reliable for sitting posture detection due to the joint drifting problem. A suitable sampling rate for IntelliChair is determined according to the experiment result which is 6 Hz. The posture classification performance shows that the SVM based classifier is robust to “familiar” subject data (accuracy is 99.8% with spine postures and 99.9% with leg postures). When dealing with “unfamiliar” subject data, the accuracy is 80.7% for spine posture classification and 42.3% for leg posture classification. The result of activity recognition achieves 41.27% accuracy among four selected activities (i.e. relax, play game, working with PC and watching video). The result of this thesis shows that different individual body characteristics and sitting habits influence both sitting posture and sitting activity recognition. In this case, it suggests that IntelliChair is suitable for individual usage but a training stage is required.

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The use of macroalgae (seaweed) as a potential source of biofuels has attracted considerable worldwide interest. Since brown algae, especially the giant kelp, grow very rapidly and contain considerable amounts of polysaccharides, coupled with low lignin content, they represent attractive candidates for bioconversion to ethanol through yeast fermentation processes. In the current study, powdered dried seaweeds (Ascophylum nodosum and Laminaria digitata) were pre-treated with dilute sulphuric acid and hydrolysed with commercially available enzymes to liberate fermentable sugars. Higher sugar concentrations were obtained from L. digitata compared with A. nodosum with glucose and rhamnose being the predominant sugars, respectively, liberated from these seaweeds. Fermentation of the resultant seaweed sugars was performed using two non-conventional yeast strains: Scheffersomyces (Pichia) stipitis and Kluyveromyces marxianus based on their abilities to utilise a wide range of sugars. Although the yields of ethanol were quite low (at around 6 g/L), macroalgal ethanol production was slightly higher using K. marxianus compared with S. stipitis. The results obtained demonstrate the feasibility of obtaining ethanol from brown algae using relatively straightforward bioprocess technology, together with non-conventional yeasts. Conversion efficiency of these non-conventional yeasts could be maximised by operating the fermentation process based on the physiological requirements of the yeasts.

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Water systems in the Sultanate of Oman are inevitably exposed to varied threats and hazards due to both natural and man-made hazards. Natural disasters, especially tropical cyclone Gonu in 2007, cause immense damage to water supply systems in Oman. At the same time water loss from leaks is a major operational problem. This research developed an integrated approach to identify and rank the risks to the water sources, transmission pipelines and distribution networks in Oman and suggests appropriate mitigation measures. The system resilience was evaluated and an emergency response plan for the water supplies developed. The methodology involved mining the data held by the water supply utility for risk and resilience determination and operational data to support calculations of non-revenue water. Risk factors were identified, ranked and scored at a stakeholder workshop and the operational information required was principally gathered from interviews. Finally, an emergency response plan was developed by evaluating the risk and resilience factors. The risk analysis and assessment used a Coarse Risk Analysis (CRA) approach and risk scores were generated using a simple risk matrix based on WHO recommendations. The likelihoods and consequences of a wide range of hazardous events were identified through a key workshop and subsequent questionnaires. The thesis proposes a method of translating the detailed risk evaluations into resilience scores through a methodology used in transportation networks. A water audit indicated that the percentage of NRW in Oman is greater than 35% which is similar to other Gulf countries but high internationally. The principal strategy for managing NRW used in the research was the AWWA water audit method which includes free to use software and was found to be easy to apply in Oman. The research showed that risks to the main desalination processes can be controlled but the risk due to feed water quality might remain high even after implementing mitigation measures because the intake is close to an oil port with a significant risk of oil contamination and algal blooms. The most severe risks to transmission mains were found to be associated with pipe rather than pump failure. The systems in Oman were found to be moderately resilient, the resilience of desalination plants reasonably high but the transmission mains and pumping stations are very vulnerable. The integrated strategy developed in this study has a wide applicability, particularly in the Gulf area, which may have risks from exceptional events and will be experiencing NRW. Other developing countries may also experience such risks but with different magnitudes and the risk evaluation tables could provide a useful format for further work.