The process of constructing a hybrid regional input-output model consists of modifying a sequence of intermediate models, with each step improving the representation of the region. The sequence provides a framework for discussing the relationships among various model modification procedures and accounting ...
Spatial knowledge spillovers and university research: Evidence from Austria useful and looks for patents as a proxy of the `output' of this process, while university research and corporate R&D investment represent the `input' ... MM Fischer,A Varga - 《Annals of Regional Science》 被引量: 669...
Within the I-P-O model, the organizational and personal antecedents represent the inputs (or presage), IWL constitutes the learning process, and the learning outcomes depict the output (or product). We use the meta-analytical framework of Cerasoli et al. (2018) to develop theAntecedents, Pro...
In literature, researchers have abstracted transnational innovation as a “money in, innovations out” process, focusing on evaluating the balance between capital input and innovation output. After referring to the Cobb–Douglas production function, this study points out the importance of labor input. ...
process, but uses mechanisms for a global recognition of the constructions. Contrarily to incremental architectures (see, e.g.,[FER 02, RAY 09]), the syntactic, semantic and pragmatic processing is not done word-by-word, but more globally, on the basis of such constructions....
Conversely, the output data are mainly thermal maps where each of which is used for different data measures. The inconsistency process starts with the problem definition utilizing the collected problem-solving information. Consequently, the analysis matrix can be performed with different weights of ...
Methods in java.lang that return InputStream Modifier and Type Method Description abstract InputStream Process.getErrorStream() Returns the input stream connected to the error output of the process. abstract InputStream Process.getInputStream() Returns the input stream connected to the normal output of...
In addition to process and forward neural information to other brain structures, the hippocampus can selectively retain information in its endogenous network by mechanisms of lasting synaptic strengthening [108]. Many patterns of neuronal activity required to induce long-term potentiation, at least experi...
The Neural Network processing can be divided into two phases: Information Recall (recall) and learning (learning). Information recall is the process for calculating the network output, for a certain input pattern. Learning is the process for updating the synaptic weights to the knowledge acquisition...
where n is the technology slope factor and VT is the thermal voltage (VT = kT/q). The IC of this automatic spike detector was fabricated using the CMOS 0.18 μm process. The total area per channel (0.07 mm2) was reduced 44% compared to previous works using similar-scale technology. The...