Stochastic macromodeling for hierarchical uncertainty quantification of nonlinear electronic systems

A hierarchical stochastic macromodeling approach is proposed for the efficient variability analysis of complex nonlinear electronic systems. A combination of the Transfer Function Trajectory and Polynomial Chaos methods is used to generate stochastic macromodels. In order to reduce the computational complexity of the model generation when the number of stochastic variables increases, a hierarchical system decomposition is used. Pertinent numerical results validate the proposed methodology

Signal Strength, Media Attention, and Resource Mobilization: Evidence from New Private Equity Firms

This is the author accepted manuscript. The final version is available from the Academy of Management via the DOI in this recordPast research has shown that new firms can facilitate resource mobilization by signaling their unobservable quality to prospective resource providers. However, we know less about situations in which firms convey multiple signals of different strengths—i.e., signals that are more or less correlated with unobservable firm quality. Building on a sociocognitive perspective, we propose that prospective resource providers respond differently to signals of different strengths and that the effectiveness of signals, especially weak signals, will be contingent on the media attention new firms receive. Empirically, we conduct a longitudinal analysis examining the ability of new private equity (PE) firms to raise a follow-on fund. Consistent with our theory, we find that unrealized performance, a relatively weak signal, positively influences fundraising. But we fail to find statistical evidence that its effect is weaker than that of realized performance, a relatively strong signal. Further, media attention strengthens the relationship between unrealized performance and fundraising, but media attention exerts less impact on the relationship between realized performance and fundraising. Taken together, our findings deepen our understanding of how new firms can mobilize resources with signals of different strengths and of how the media—as a key information intermediary—differently impacts their effectiveness.Richard M. Schulze Family Foundatio

Microwave small-signal modelling of FinFETs using multi-parameter rational fitting method

An effective approach based on a multi-parameter rational fitting technique is proposed to model the microwave small-signal response of active solid-state devices. The model is identified by fitting multibias scattering-parameter measurements and its analytical expression is implemented in a commercial microwave circuit simulator. The approach has been applied to the modelling of a silicon-based FinFET, and an excellent agreement is obtained between the measured data and model predictions

Toward a Harmonization for Using in situ Nutrient Sensors in the Marine Environment

Improvedcomparabilityofnutrientconcentrationsinseawaterisrequiredtoenhancethe quality and utility of measurements reported to global databases. Significant progress has been made over recent decades in improving the analysis and data quality for traditional laboratory measurements of nutrients. Similar efforts are required to establish high-quality data outputs from in situ nutrient sensors, which are rapidly becoming integral components of ocean observing systems. This paper suggests using the good practices routine established for laboratory reference methods to propose a harmonized setofdeploymentprotocolsandofqualitycontrolproceduresfornutrientmeasurements obtained from in situ sensors. These procedures are intended to establish a framework to standardize the technical and analytical controls carried out on the three main types of in situ nutrient sensors currently available (wet chemical analyzers, ultraviolet optical sensors, electrochemical sensors) for their deployments on all kinds of platform. The routine reference controls that can be applied to the sensors are listed for each step of sensor use: initial qualification under controlled conditions in the laboratory, preparation of the sensor before deployment, field deployment and finally the sensor recovery. The fundamental principles applied to the laboratory reference method are then reviewed in termsofthecalibrationprotocol,instrumentalinterferences,environmentalinterferences, external controls, and method performance assessment. Data corrections (linearity, sensitivity, drifts, interferences and outliers) are finally identified along with the concepts and calculations for qualification for both real time and time delayed data. This paper emphasizes the necessity of future collaborations between research groups, referenceaccredited laboratories, and technology developers, to maintain comparability of the concentrationsreportedforthevariousnutrientparametersmeasuredbyinsitusensors