E Campbell / A Robins – B Schoofs / Y Wickmayer Match Prediction | 13-08-2019
The project management, programming and data processing skills of the data center were combined with the oceanographic experience of the project communities to develop a system which has produced quality controlled, calibrated data sets from 49 research cruises in 3.5 years of operation. The data center resources required to achieve this were modest and far outweighed by the time liberated in the scientific community by the removal of the data processing burden. These can only be established by frequent personal contact and hence the relatively small size of the UK has been a critical factor. The challenge of providing project data sets to support the science was met by a small team within the British Oceanographic Data Centre (BODC) operating as a topical data center. The success of the topical data center model for UK Community Research Project data management has been founded upon the strong working relationships forged between the data center and project scientists. Two online project databases have been assembled containing a very high proportion of the data collected. The role of the data center was to both work up the data from the ship's sensors and to combine these data with sample measurements into online databases. Two of these, the Biogeochemical Ocean Flux Study (BOFS) and the North Sea Project incorporated large scale data collection to underpin multidisciplinary modeling efforts. Since the mid 1980s, much of the marine science research effort in the United Kingdom has been focused into large scale collaborative projects involving public sector laboratories and university departments, termed Community Research Projects. As these are under the control of BODC their long term availability as part of the UK national data archive is assured. The working up of the data was achieved by a unique symbiosis between data center staff and project scientists.
Livability is the total factor affecting the quality of community life. In this paper, livable community evaluation indexes are evaluated based on GIS and fuzzy comprehensive evaluation method. Community is the basic unit of the city. Then the sum-index and sub-index of community livability are both calculated. And community livable evaluation index system is constructed based on the platform of GIS. Research on livable community could provide a bottom-up research path for the realization of livable city. This study provides theoretical support for the construction and management of livable communities, so as to guide the development and optimization of city.
Yet the two microbial communities respond differently to water stress: cryptoendolithic lichens begin to photosynthesize at a matric water potential of -46.4 megaPascals (MPa) [70% relative humidity (RH) at 8 degrees C], resembling thallose desert lichens. Both rock types adsorb water vapor by physical mechanisms unrelated to biological processes. Two cryptoendolithic microbial communities, lichens in the Ross Desert of Antarctica and cyanobacteria in the Negev Desert, inhabit porous sandstone rocks of similar physical structure. Cryptoendolithic cyanobacteria, like other prokaryotes, photosynthesize only at very high matric water potentials [> -6.9 MPa, 90% RH at 20 degrees C].Edwards runs for 109 yards, catches game-winner for Rutgers
Key cultural themes included the perceived healthiness of country foods, food sharing, and importance of family. During community workshops, key problem foods for intervention were identified as well as healthier culturally and economically acceptable alternatives for these foods. Behaviors for promotion were identified and prioritized. This approach resulted in project acceptance, stakeholder collaboration, and a culturally appropriate program in stores, worksites, and other community venues. To develop a community-based chronic disease prevention program for Inuit in Nunavut, Canada. Stake-holders contributed to intervention development through formative research (in-depth interviews (n = 45), dietary recalls (n = 42)), community workshops, group feedback and implementation training.
Genet, Russell; Armstrong, James; Blanko, Philip; Boyce, Grady Boyce, Pat; Brewer, Mark; Buchheim, Robert; Calanog, Jae; Castaneda, Diana; Chamberlin, Rebecca; Clark, R.
L'tude de la propagation des diverses ondes dans l'espace tridimensionnel permet d'apporter des mesures quantitatives sur l'analyse de la rponse des matriaux utiliss. Dans les secteurs o la fiabilit est capitale, tels la micro-lectronique ou la physique des matriaux, il est particulirement utile d'accder aux informations sur le comportement du matriau sans avoir utiliser une mthode destructive (analyses chimiques ou autres essais mcaniques). La modlisation des phnomnes thermolastiques a permis une approche analytique rigoureuse et donn naissance un logiciel de simulation crit en Turbo-Pascal pour des tudes plus gnrales. La mthode de contrle non destructif prsente est base sur la gnration d'ondes par impact d'un faisceau laser focalis la surface d'un chantillon, sans atteindre le rgime d'ablation. Thermoelastic modelisation allowed a rigorous analytic approach and to give rise to a software written in Turbo-Pascal for a more general solution. The submitted method for non-destructive testing is based on the waves generation with a laser beam. In some sectors such as microelectronics or the physics of materials, reliability is of capital importance. It is also particularly attractive to have access on informations on the material behaviour without the use of a destructive test like chemical analysis or others mechanical tests. The aim of studying the various waves in the three-dimensional space is to bring informations about materials response.
It was accomplished through a variety of methods, including qualitative interviews, administrative health data analyses, surveys, and case studies. Community-based participatory research (CBPR) provides the opportunity to engage communities for sustainable change. The outcome is a community-owned, widely recognized process that is sustainable while fulfilling researcher and funding obligations. The study used community-based participatory research approach for the conceptualization of the study, data collection, analysis, and knowledge translation. Collaborative and respectful relationships are platforms for defining and strengthening community health care priorities. We further discuss how partnerships were forged to own and sustain innovations. We share a journey to transformation in our work with eight Manitoba First Nations seeking to improve the health of their communities and discuss lessons learned. Research relationships built on strong ethics and protocols to enhance mutual commitment to support community-driven transformation. This article contributes a blueprint for respectful CBPR.See other formats
The scope and breadth of simulation-based research is growing rapidly; however, few mechanisms exist for conducting multicenter, collaborative research. In 2011, the International Network for Simulation-based Pediatric Innovation, Research and Education (INSPIRE) was formed to facilitate multicenter, collaborative simulation-based research with the aim of developing a community of practice for simulation researchers. Failure to foster collaborative research efforts is a critical gap that lies in the path of advancing healthcare simulation. Since its formation, the network has successfully completed and published numerous collaborative research projects. The 2017 Research Summit hosted by the Society for Simulation in Healthcare highlighted how simulation-based research networks can produce studies that positively impact the delivery of healthcare. In this article, we describe INSPIRE's history, structure, and internal processes with the goal of highlighting the community of practice model for other groups seeking to form a simulation-based research network.
The aim of this article, authored by the principal investigators of the 17 collaborating teams, is to describe briefly the rationale, aims, strategies and work packages of AwE for the purposes of sharing our ideas and plans with the biogerontological community in order to invite scientific feedback, suggestions, and criticism. As a larger fraction of the population thus gets older, the number of people suffering from disease or disability increases dramatically, presenting a major societal challenge. Human longevity continues to increase world-wide, often accompanied by decreasing birth rates. Healthy ageing has therefore been selected by EU policy makers as an important priority ( http://www.healthyageing.eu/european-policies-and-initiatives ); it benefits not only the elderly but also their direct environment and broader society, as well as the economy. Here we present our research proposal entitled "ageing with elegans" (AwE) ( http://www.h2020awe.eu/ ), funded by this RIA, which aims for better understanding of the factors causing health and disease in ageing, and to develop evidence-based prevention, diagnostic, therapeutic and other strategies. The theme of healthy ageing figures prominently in the Horizon 2020 programme ( https://ec.europa.eu/programmes/horizon2020/en/h2020-section/health-demographic-change-and-wellbeing ), which has launched several research and innovation actions (RIA), like "Understanding health, ageing and disease: determinants, risk factors and pathways" in the work programme on "Personalising healthcare" ( https://ec.europa.eu/research/participants/portal/desktop/en/opportunities/h2020/topics/693-phc-01-2014.html ).
elegans, this contribution collects snapshots of pathfinding key works and emerging technologies that recent single- and multi-center simulation initiatives are building on. We thereby point out a few general limitations and problems that these undertakings are faced with and discuss how these may be addressed and overcome. Objective. elegans has challenged neurobiologists and computational scientists alike. Besides controlling vital functions (feeding, defecation, reproduction), it encodes different stimuli-induced as well as autonomous locomotion modalities (crawling, swimming and jumping). Lessons learned from past and current computational approaches to deciphering and reconstructing information flow in the C. elegans nervous system corroborate the need of refining neural response models and linking them to intra- and extra-environmental interactions to better reflect and understand the actual biological, biochemical and biophysical events that lead to behavior. Rather than presenting an all-encompassing review on the mathematical modeling of C. Despite its seeming simplicity, the nervous system of the hermaphroditic nematode C. elegans with just 302 neurons gives rise to a rich behavioral repertoire. In light of recent progress in mapping neural function to behavior, we briefly and selectively review past and present endeavors to reveal and reconstruct nervous system function in Caenorhabditis elegans through simulation. Significance. Together with single-center research efforts, the Si elegans and OpenWorm projects aim at providing the required, in some cases complementary tools for different hardware architectures to support advancement into this direction. Main results. Approach. For this dichotomy between system simplicity and behavioral complexity, C.
Expressions are evaluated until a FIN card is encountered. LISP expressions are evaluated one by one with both the input expression and the resulting evaluated expression printed. The program constitutes a complete, basic LISP (LIST-Processing language) interpreter. Between expression evaluations a garbage-collection algorithm is invoked to recover list space used in the previous evaluation.CDC7600; PASCAL; SCOPE; The sample problem was executed in 7000 (octal) words of memory on a CDC7600.Subscribe to Breaking News
Although the interactions among relatively large animals, such as fish, are controlled by their nervous systems, the interactions among microorganisms, which lack nervous systems, are controlled through physical and chemical pathways. elegans, and that hydrodynamic interactions and genotype do not play a significant role. We devised an experiment to examine pair interactions as a function of the distance between the animals and observed that gait synchronization occurred only when the animals were in close proximity, independent of genes required for mechanosensation. To attempt to remedy this, we studied collective swimming behavior in the nematode Caenorhabditis elegans, a microorganism with a compact nervous system. Our measurements and simulations indicate that steric hindrance is the dominant factor responsible for motion synchronization in C. Collective motion is observed in swarms of swimmers of various sizes, ranging from self-propelled nanoparticles to fish. We evaluated the contributions of hydrodynamic forces, contact forces, and mechanosensory input to the interactions among individuals. We infer that a similar mechanism may apply to other microscopic swimming organisms and self-propelled particles. The mechanisms that govern interactions among individuals are debated, and vary from one species to another. Little is known, however, regarding the mechanism of collective movements in microscopic organisms with nervous systems.
Friction studies were conducted with a silicon carbide (0001) surface contacting polycrystalline iron. The surfaces of silicon carbide bombarded with argon ions or preheated to 800 C revealed the main Si peak and a carbide type of C peak in the Auger spectra. The surface of silicon carbide was pretreated: (1) by bombarding it with argon ions for 30 minutes at a pressure of 1.3 pascals; (2) by heating it at 800 C for 3 hours in vacuum at a pressure of 10 to the minus eighth power pascal; or (3) by heating it at 1500 C for 3 hours in a vacuum of 10 to the minus eighth power pascal. Auger emission spectroscopy was used to determine the presence of silicon and carbon and the form of the carbon. The surfaces preheated to 1500 C revealed only a graphite type of C peak in the Auger spectra, and the Si peak had diminished to a barely perceptible amount. The surfaces of silicon carbide preheated to 800 C gave a 1.5 to 3 times higher coefficient of friction than did the surfaces of silicon carbide preheated to 1500 C. The coefficient of friction was lower in the 11(-2)0 direction than in the 10(-1)0 direction; that is, it was lower in the preferred crystallographic slip direction.