400 research outputs found

    Interior Architecture’s Use of Rotating Teams

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    The inclusion of health conditions within the process of environmental modification for design students requires concurrent learning outcomes related to research, brainstorming, and ideation that can only be achieved through team projects.https://digitalscholarship.unlv.edu/btp_expo/1009/thumbnail.jp

    Bridge Deck Runoff: Water Quality Analysis and BMP Effectiveness

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    INE/AUTC 10.0

    Modeling and Fundamental Design Considerations for Portable, Wearable and Implantable Electronic Biosensors

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    Chronic diseases such as cancer, diabetes, acquired immune deficiency syndrome (AIDS), etc. are leading causes of mortality all over the world. Portable, wearable and implantable biosensors can go a long way in preventing these premature deaths by frequent or continuous self-monitoring of vital health parameters

    Scalable secure multi-party network vulnerability analysis via symbolic optimization

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    Threat propagation analysis is a valuable tool in improving the cyber resilience of enterprise networks. As these networks are interconnected and threats can propagate not only within but also across networks, a holistic view of the entire network can reveal threat propagation trajectories unobservable from within a single enterprise. However, companies are reluctant to share internal vulnerability measurement data as it is highly sensitive and (if leaked) possibly damaging. Secure Multi-Party Computation (MPC) addresses this concern. MPC is a cryptographic technique that allows distrusting parties to compute analytics over their joint data while protecting its confidentiality. In this work we apply MPC to threat propagation analysis on large, federated networks. To address the prohibitively high performance cost of general-purpose MPC we develop two novel applications of optimizations that can be leveraged to execute many relevant graph algorithms under MPC more efficiently: (1) dividing the computation into separate stages such that the first stage is executed privately by each party without MPC and the second stage is an MPC computation dealing with a much smaller shared network, and (2) optimizing the second stage by treating the execution of the analysis algorithm as a symbolic expression that can be optimized to reduce the number of costly operations and subsequently executed under MPC.We evaluate the scalability of this technique by analyzing the potential for threat propagation on examples of network graphs and propose several directions along which this work can be expanded

    Photochemical modeling of the Antarctic stratosphere: Observational constraints from the airborne Antarctic ozone experiment and implications for ozone behavior

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    The rapid decrease in O3 column densities observed during Antarctic spring has been attributed to several chemical mechanisms involving nitrogen, bromine, or chlorine species, to dynamical mechanisms, or to a combination of the above. Chlorine-related theories, in particular, predict greatly elevated concentrations of ClO and OClO and suppressed abundances of NO2 below 22 km. The heterogeneous reactions and phase transitions proposed by these theories could also impact the concentrations of HCl, ClNO3 and HNO3 in this region. Observations of the above species have been carried out from the ground by the National Ozone Expedition (NOZE-I, 1986, and NOZE-II, 1987), and from aircrafts by the Airborne Antarctic Ozone Experiment (AAOE) during the austral spring of 1987. Observations of aerosol concentrations, size distribution and backscattering ratio from AAOE, and of aerosol extinction coefficients from the SAM-II satellite can also be used to deduce the altitude and temporal behavior of surfaces which catalyze heterogeneous mechanisms. All these observations provide important constraints on the photochemical processes suggested for the spring Antarctic stratosphere. Results are presented for the concentrations and time development of key trace gases in the Antarctic stratosphere, utilizing the AER photochemical model. This model includes complete gas-phase photochemistry, as well as heterogeneous reactions. Heterogeneous chemistry is parameterized in terms of surface concentrations of aerosols, collision frequencies between gas molecules and aerosol surfaces, concentrations of HCl/H2O in the frozen particles, and probability of reaction per collision (gamma). Values of gamma are taken from the latest laboratory measurements. The heterogeneous chemistry and phase transitions are assumed to occur between 12 and 22 km. The behavior of trace species at higher altitudes is calculated by the AER 2-D model without heterogeneous chemistry. Calculations are performed for solar illumination conditions typical of 60, 70, and 80 S, from July 15 to October 31

    Director Networks and Stock Price Crash Risk

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    摘要 先前的文献显示公司高管有动机适时地隐瞒市场上的不利消息,比如对职业生涯的考虑和声望。Jin和Myers提出的坏消息囤积理论(2006)认为当公司长期隐瞒坏消息时,负面信息很可能会囤积在公司内部。当这种行为的动机崩溃或者达到一个临界点,迄今为止所有未披露负面信息一次性地公布在公众面前,将会导致股票价格直线崩盘。 本文以1996到2013的标普1500作为样本,检验了在董事联系紧密的公司内是否存在知识外溢效应从而降低未来极端负收益出现的可能性。我发现大体上董事联系紧密的高管的公司的股价崩盘风险会下降。这种减震效应在非权益性报酬和CEO兼任董事会成员的公司里更加显著。 这一发现可以解...Abstract Previous literature has shown that corporate executives have incentives to opportunistically withhold adverse information from the market for personal gains such as career concerns, and prestige. The bad news hoarding theory propounded by Jin and Myers (2006) asserts that when firms conceal bad news for an extended period of time, negative information is likely to be stockpiled within...学位:管理学硕士院系专业:财务管理与会计研究院_会计学学号:2782015115463

    Numerical and Analytical Modeling to Determine Performance Trade-offs in Hydrogel-based pH Sensors

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    Hydrogel based pH sensors are promising candidates for implantable sensors due to their low-cost and biocompatibility. Despite their commercial potential and numerous theoretical/experimental reports, the trade-offs between different performance parameters are not well understood, and explicitly stated. In this work, we develop a numerical and analytical framework to show that there is a fundamental trade-off between the performance parameters i.e. sensitivity/dynamic range vs. response-time/response-asymmetry in hydrogel sensors under constrained swelling conditions. Specifically, we consider the effect of the gel parameters, such as the ionizable group density ( Nf) and its dissociation constant ( Ka), on the sensor performance. We show that improvement of sensitivity/dynamic range leads to degradation in response time/symmetry and therefore, a compromise must be made to optimize device performance
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