Research on Architectural Design Thinking Innovation

Architectural design thinking innovation is the innovative thinking activities of inside and outside area of building, in order to meet the daily life and entertainment needs. With the development of economy, people have increasingly high design requirements for the building, which requires designers to improve their innovative thinking and ability of aestheticism. It continually innovate and inspire talent during the building design, and combine the theory and actual situation, in order to develop the new realm of architectural design work. This paper will mainly analyze and discuss the architectural design innovation thinking

Multimodality Data Integration in Epilepsy

An important goal of software development in the medical field is the design of methods which are able to integrate information obtained from various imaging and nonimaging modalities into a cohesive framework in order to understand the results of qualitatively different measurements in a larger context. Moreover, it is essential to assess the various features of the data quantitatively so that relationships in anatomical and functional domains between complementing modalities can be expressed mathematically. This paper presents a clinically feasible software environment for the quantitative assessment of the relationship among biochemical functions as assessed by PET imaging and electrophysiological parameters derived from intracranial EEG. Based on the developed software tools, quantitative results obtained from individual modalities can be merged into a data structure allowing a consistent framework for advanced data mining techniques and 3D visualization. Moreover, an effort was made to derive quantitative variables (such as the spatial proximity index, SPI) characterizing the relationship between complementing modalities on a more generic level as a prerequisite for efficient data mining strategies. We describe the implementation of this software environment in twelve children (mean age 5.2 ± 4.3 years) with medically intractable partial epilepsy who underwent both high-resolution structural MR and functional PET imaging. Our experiments demonstrate that our approach will lead to a better understanding of the mechanisms of epileptogenesis and might ultimately have an impact on treatment. Moreover, our software environment holds promise to be useful in many other neurological disorders, where integration of multimodality data is crucial for a better understanding of the underlying disease mechanisms

InterFS: An Interplanted Distributed File System to Improve Storage Utilization

Abstract Resource under-utilization is a common problem in modern data centers. Though researchers have proposed consolidation techniques to improve utilization of computing resources, there still lacks an approach to mitigate particularly low utilization of storage capacity in clusters for online services. A potential solution is to "interplant" a distributed storage system together with the services on these clusters to leverage the unused storage. However, avoiding performance interference with existing services is an essential prerequisite for interplanting. Thus, we propose InterFS, a POSIX-compliant distributed file system aiming at fully exploiting the storage resource on data center clusters. We adopt intelligent resource isolation, peak load dodging, and region-based replica placement schemes in InterFS. Therefore, it can be interplanted with other resource-intensive services without interfering with them, and amply fulfill the storage requirements of small-scale applications in the data center. Currently InterFS is deployed in 20,000+ servers at Baidu, providing 80 PB storage space to 200+ long-tailed services

Biomedical Teleacupuncture between China and Austria Using Heart Rate Variability—Part 2: Patients with Depression

It has been shown in previous studies that the autonomic nervous system can be affected by acupuncture. Within this study, teleacupuncture between China and Austria is used for quantifying the effects of heart rate (HR) and heart rate variability (HRV) in 33 Chinese patients (27 females, 6 males; mean age ± SD 49.5 ± 13.1 years; range 22–72 years) suffering from depression. Electrocardiographic signals before, during, and after acupuncture at the acupoint Baihui (GV20) were recorded in Harbin and analyzed in Graz using teleacupuncture. HRV data were analyzed in the time and frequency domain. Mean HR decreased significantly (P < 0.05) during and after acupuncture, whereas total HRV increased significantly after the third acupuncture stimulation period (P < 0.05) and also 5–10 minutes after (P < 0.05) acupuncture. The study shows that HRV could be a useful parameter for quantifying clinical effects of acupuncture on the autonomic nervous system

InnoScape: A Creative Artificial Ecosystem Model of Boundary Processes in Open Science

Atlanta Conference on Science and Innovation Policy 2011This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Innovation communities are characterized and formalized as complex adaptive communication systems that exhibit the traits of self-organized creative artificial ecosystems. An agent-based exploratory simulation study is conducted to better understand community traits that confer increased diversity and resilience in such networked global participatory innovation systems.National Science Foundatio

Pricing-Decision and Coordination Contract considering Product Design and Quality of Recovery Product in a Closed-Loop Supply Chain

In a closed-loop supply chain consisting of a manufacturer and a retailer, this paper studies the pricing strategies and coordination mechanism of supply chain when the remanufacturing cost is random caused by the proportion of reusability parts in design stage and quality condition of recycling product. The results show that the wholesale price and retail price are negative correlation, while the recycling rate and total profit of supply chain system are positive correlation with the proportion of reusability component designed in new product and quality of recycling product. Moreover, there are conclusions that the wholesale price and retail price are lower while the recycling rate and total profit of supply chain system are higher with centralized decision. Then, in order to coordinate the closed-loop supply chain, this paper develops a revenue-sharing contract, in which the revenue share parameter is determined based on absolute deviation approach. The theoretical results are illustrated by a numerical example