Train-track-bridge dynamic interaction is a fundamental concern in the field of railway engineering, which plays an extremely important role in the optimal design of railway bridges, especially in ...high-speed railways and heavy-haul railways. This paper systematically presents a state-of-the-art review of train-track-bridge dynamic interaction. The evolution process of train-bridge dynamic interaction model is described briefly, from the simplest moving constant force model to the sophisticated train-track-bridge dynamic interaction model (TTBDIM). The modelling methodology of the key elements in the TTBDIM is systematically reviewed, including the train, the track, the bridge, the wheel-rail contact, the track-bridge interaction, the system excitation and the solution algorithm. The significance of detailed track modelling in the whole system is highlighted. The experimental research and filed test focusing on modelling validation, safety assessment and long-term performance investigation of the train-track-bridge system are briefly presented. The practical applications of train-track-bridge dynamic interaction theory are comprehensively discussed in terms of the system dynamic performance evaluation, the system safety assessment and train-induced environmental vibration and noise prediction. The guidance is provided on further improvement of the train-track-bridge dynamic interaction model and the challenging research topics in the future.
Winner of the Best Book of2008 from The International Gender and Language AssociationIn this ground-breaking ethnography of girls on a playground, Goodwin offers a window into their complex social ...worlds.Combats stereotypes that have dominated theories on female moral development by challenging the notion that girls are inherently supportive of each other Examines the stances that girls on a playground in a multicultural school setting assume and shows how they position themselves in their peer groups Documents the language practices and degradation rituals used to sanction friends and to bully others Part of the Blackwell Studies in Discourse and Culture Series
Soli Lien, Jaime; Gillian, Nicholas; Karagozler, M. Emre ...
ACM transactions on graphics,
07/2016, Letnik:
35, Številka:
4
Journal Article
Recenzirano
This paper presents
Soli
, a new, robust, high-resolution, low-power, miniature gesture sensing technology for human-computer interaction based on millimeter-wave radar. We describe a new approach to ...developing a radar-based sensor optimized for human-computer interaction, building the sensor architecture from the ground up with the inclusion of radar design principles, high temporal resolution gesture tracking, a hardware abstraction layer (HAL), a solid-state radar chip and system architecture, interaction models and gesture vocabularies, and gesture recognition. We demonstrate that Soli can be used for robust gesture recognition and can track gestures with sub-millimeter accuracy, running at over 10,000 frames per second on embedded hardware.
VolumeMatic is an Apple Vision Pro natural language text to interactive volume app creator app, utilizing the “chat to create" motif. The user can easily create 3D using various AI3D creation ...methods, such as text to 3D and image to 3D from different models and providers, utilizing an abstractified AI3D multimodal API. We utilize object detected and semantic relations among different HCI elements to enable natural language interactive spatial computing app creation. The app hopes to launch an AI3D Foundation to help accelerate the advancement and impact of AI for 3D and interactive content (AI3D). We also present the AI3D Benchmark Card to quickly summarize the results from different models, with a ground truth mesh.
As the first comprehensive and authoritative review of intra-seasonal variability (ISV), this multi-author work balances coverage of observation, theory and modeling and provides a single source of ...reference for all those interested in this important, multi-faceted natural phenomenon and its relation to major short-term climatic variations. Commencing with an overview of ISV and observations from an historical perspective, the book offers successive chapters that deal with the role of ISV in monsoon variability on the monsoon regions of South Asia, East Asia and South America, in North America, and in the oceans. The coupling between ocean and atmosphere is considered, together with the function of angular momentum and Earth rotation. Later chapters deal with modeling ISV in the atmosphere and oceans, and the connection between the Madden and Julian Oscillations, and El Nino/Southern Oscillation with short-term climate are considered. TOC:Preface,- 1. Historical perspective,- 2. South Asian monsoon,- 3. East Asian monsoon,- 4. Pan-America,- 5. Australian-Indonesian monsoon,- 6. The Oceans, 7. Air-sea interaction,- 8. Mass, momentum and geodynamics, 9. El Nino Southern Oscillation connection, 10. Theory,- 11. Modeling,- 12. Predictability and forecasting.
Heavy PM2.5 (particulate matter with aerodynamic diameter equal to or less than 2.5 μm) pollution and urban heat island (UHI) pose increasing threats to human health and living environment in ...populated cities. However, how PM2.5 pollution affects the UHI intensity (UHII) has not been fully understood. The impacts of PM2.5 on the wintertime UHII in the Beijing‐Tianjin‐Hebei megalopolis of China are explored during 2013–2017. The results show that the UHII at the time of daily maximum/minimum temperature (UHIImax/UHIImin) exhibits a decreasing/increasing tendency as PM2.5 concentration increases, causing a continuous decrease in the diurnal temperature range. These effects are mediated via aerosol‐radiation interaction (aerosol‐cloud interaction) under clear‐sky (cloudy) condition. The changes in PM2.5 concentration further cause different relative trends of UHIImax/UHIImin/diurnal temperature range across different cities in the Beijing‐Tianjin‐Hebei region, which are likely related to the differences in both the PM2.5 composition and city size. This study provides insights on how air pollution affects urban climate and would help to design effective mitigation strategies.
Plain Language Summary
A detailed understanding of the relationship between PM2.5 (particulate matter with aerodynamic diameter equal to or less than 2.5 μm) and the urban heat island (UHI) effect is significant for climate change adaption, planning, and sustainable development in urban regions. While the Beijing‐Tianjin‐Hebei (BTH) megalopolis of China is among the areas with the highest population densities and fastest urbanization rates in the world, the impacts of PM2.5 pollution on UHI, along with their regional differences in the BTH megalopolis, remain unclear. This study demonstrates that different PM2.5 concentrations in the BTH region pose various influences on the UHI intensities and their change rates in different cities of varying sizes. The UHI intensities during daytime and nighttime, respectively, exhibit weakening and strengthening tendency as PM2.5 concentration increases. These effects are mediated via aerosol‐radiation interaction under clear‐sky condition and aerosol‐cloud interaction in cloudy weather. The relative changes in the UHI magnitudes were mainly determined by PM2.5 composition and city size. The asymmetrical influences of PM2.5 on the daytime and nighttime UHI intensities caused continuous decreases in the diurnal temperature ranges in the urban areas as the pollution level increased. Our study improves the understanding of urban climate affected by air pollution and provides a scientific basis for the mitigation of UHI impacts.
Key Points
Given a similar change in PM2.5 pollution levels, the relative change in UHII is determined by both PM2.5 species and city size
With increasing PM2.5 in the urban area, daytime UHII weakens and nighttime UHII strengthens, leading to a continuous reduction in DTR
PM2.5 affects UHII via aerosol‐radiation interaction under the clear sky and via aerosol‐cloud interaction under cloudy condition
Understanding Virtual Reality Sherman, William R; Craig, Alan B; Craig, Department of Mathematics Alan
2002, 2002-09-10
eBook
Understanding Virtual Reality arrives at a time when the technologies behind virtual reality have advanced to the point that it is possible to develop and deploy meaningful, productive virtual ...reality applications. The aim of this thorough, accessible exploration is to help you take advantage of this moment, equipping you with the understanding needed to identify and prepare for ways VR can be used in your field, whatever your field may be. By approaching VR as a communications medium, the authors have created a resource that will remain relevant even as the underlying technologies evolve. You get a history of VR, along with a good look at systems currently in use. However, the focus remains squarely on the application of VR and the many issues that arise in the application design and implementation, including hardware requirements, system integration, interaction techniques, and usability. This book also counters both exaggerated claims for VR and the view that would reduce it to entertainment, citing dozens of real-world examples from many different fields and presenting (in a series of appendices) four in- depth application case studies.* Substantive, illuminating coverage designed for technical and business readers and well-suited to the classroom. * Examines VR's constituent technologies, drawn from visualization, representation, graphics, human-computer interaction, and other fields, and explains how they are being united in cohesive VR systems. * Via a companion Web site, provides additional case studies, tutorials, instructional materials, and a link to an open-source VR programming system.
The book provides best estimates of carbon and nutrient fluxes in seven types of continental margins. In each type, these fluxes are reported in detail individually for 3-7 representative geographic ...regions, each of which is characterized by concise descriptions of the physical and biogeochemical settings. Drawn from the regional synthesis, a global synthesis is put together for carbon fluxes exchanged between continental margins as a whole and the atmosphere and between that and the open ocean. Global syntheses on sediments and nutrients discharged to the ocean from land are also provided in the book. To guide future research on continental margin biogeochemistry, the book also elaborates on a few critical themes that emerged in recent years. One of these is the human impact on the continental margin biogeochemistry, which accentuates the need to include human perturbation of the system in future research. Thus the book represents the state-of-the-art knowledge on the subject, which will be needed for all researchers on continental margin environmental issues.
earrings.ai is an AI design app platform that lets you create your dream earrings simply from describing it – and AR try them on Chang 2018 and even participate in a virtual and real world ...marketplace Chang 2016 to have artisan creators make them, or a network of 3D printers fab them!
Identification of drug-target interactions acts as a key role in drug discovery. However, identifying drug-target interactions via in-vitro, in-vivo experiments are very laborious, time-consuming. ...Thus, predicting drug-target interactions by using computational approaches is a good alternative. In recent studies, many feature-based and similarity-based machine learning approaches have shown promising results in drug-target interaction predictions. A previous study showed that accounting connectivity information of drug-drug and protein-protein interactions increase performances of prediction by the concept of 'guilt-by-association'. However, the approach that only considers directly connected nodes often misses the information that could be derived from distance nodes. Therefore, in this study, we yield global network topology information by using a random walk with restart algorithm and apply the global topology information to the prediction model.
As a result, our prediction model demonstrates increased prediction performance compare to the 'guilt-by-association' approach (AUC 0.89 and 0.67 in the training and independent test, respectively). In addition, we show how weighted features by a random walk with restart yields better performances than original features. Also, we confirmed that drugs and proteins that have high-degree of connectivity on the interactome network yield better performance in our model.
The prediction models with weighted features by considering global network topology increased the prediction performances both in the training and testing compared to non-weighted models and previous a 'guilt-by-association method'. In conclusion, global network topology information on protein-protein interaction and drug-drug interaction effects to the prediction performance of drug-target interactions.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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