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Close-Range Photogrammetry (CRP) and Reflectance Transformation Imaging (RTI) are two of the most used image-based techniques when documenting and analyzing Cultural Heritage (CH) objects. Nevertheles...
The ability to manipulate supported lipid bilayers after formation on a substrate has made possible new classes of both molecular and cellular level experiments. In this report, we combine the unique ...
Psoralens linked to triplex-forming oligonucleotides (psoTFOs) have been used in conjunction with laser-induced two-photon excitation (TPE) to damage a specific DNA target sequence. To demonstrate tha...
The spatially developing, unforced, turbulent mixing layer is simulated via a grid-free vortex method. Vortex filaments composed of straight tubes are used as the computational element with new vortex...
Consider any supercritical Galton-Watson process which may become extinct with positive probability. It is a well-understood and intuitively obvious phenomenon that,on the survival set, the process ma...
Our society today is being challenged by issues of global scale: economic development, social conflicts, urban growth, rural development, climate change, global warming, carbon credit management, or d...
Consider any supercritical Galton-Watson process which may become extinct with positive probability. It is a well-understood and intuitively obvious phenomenon that,on the survival set, the process ma...
Current representations of spatial data quality (SDQ) do not adequately represent the spatial variation of SDQ. For example, a user who wants to know the positional accuracy of a feature usually has t...
In this paper we consider a simultaneous system of spatially interrelated cross sectional equations. Our speci.cation incorporates spatial lags in the endogenous and exogenous variables. In modelling ...
In this paper we consider a panel data model with error components that are both spatially andtime-wise correlated. The model blends specifications typically considered in the spatial literaturewith t...
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent variables, and an inco...
Representative real time information on snow depth and snow water equivalent is needed for several practical purposes, above all avalanche warning and flood forecast and control in spring. This study...
We present a five-year, time-independent, earthquake-forecast model for earthquake magnitudes of 5.0 and greater in Italy using spatially smoothed seismicity data. The model is called HAZGRIDX, and it...
We describe a new method for tuning a certain family of low-bandwidth controllers for linear time-invariant and spatially-invariant (LTSI) plants. We consider LTSI controllers with a fixed structure, ...
A study has been conducted in three sub-watersheds to model the spatial distribution of runoff and sediment yield. The basic structure of the model includes generation of runoff using SCS curve number...

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