Abstract. Future wireless communication systems require novel techniques to increase the bitrate, coverage and mobility. One of these techniques is spatial multiplexing and we have investigated the use of a CSP-based kernel in the implementation of a spatial multiplexing testbed. It turns out that the use of the CSP-based kernel not only provides a good way of system modeling, but also provides...

A promising way to cope with complexity in verifying large systems is to perform modular verification where components are verified separately. However, in the context of adaptive systems, it is difficult to apply this principle because adaptation behaviour and functional behaviour are often intertwined. In this paper, we present and apply a design pattern for distributed adaptive real-time sys...

abstract information about the spatial patterns of soil biodiversity is limited though required, e.g. for understanding effects of biodiversity on ecosystem processes. this study was conducted to determine whether soil macrofauna biodiversity parameters display spatial patterns in the riparian forest landscape of karkhe. soil macrofauna were sampled using 200 sampling point along parallel trans...

A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the possible nonstationarity in the data from the datablock the method is trained on and that the method is applied to. Assuming the joint distributions of the whitened signal and the class label to be identical in two blocks, where the whitening is done in each block independently, we prop...

The Golgi Apparatus (GA) is a major collection and dispatch station for numerous proteins destined for secretion, plasma membranes and lysosomes. The dysfunction of GA proteins can result in neurodegenerative diseases. Therefore, accurate identification of protein subGolgi localizations may assist in drug development and understanding the mechanisms of the GA involved in various cellular proces...

The Alpha-Beta Log-Det divergences for positive definite matrices are flexible divergences that are parameterized by two real constants and are able to specialize several relevant classical cases like the squared Riemannian metric, the Steins loss, the S-divergence, etc. A novel classification criterion based on these divergences is optimized to address the problem of classification of the moto...

Independent component analysis (ICA) as a promising spatial filtering method can separate motor-related independent components (MRICs) from the multichannel electroencephalogram (EEG) signals. However, the unpredictable burst interferences may significantly degrade the performance of ICA-based brain-computer interface (BCI) system. In this study, we proposed a new algorithm frame to address thi...

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder and is triggered via abnormal accumulation of amyloid-β peptide (Aβ). Aggregated Aβ is responsible for disrupting calcium homeostasis, inducing neuroinflammation, and promoting neurodegeneration. In this study, we generated curcuminoid submicron particle (CSP), which reduce the average size to ~60 nm in diameter. CSP had ...

spatial pattern of trees is an important characteristic of plant communities. generating hypotheses relating to the structure of ecological communities is the aim of spatial pattern recognition. stands spatial patterns are measured and mapped by measuring tree locations in the stand and entering each coordinates into analytical frameworks. the spatial pattern of plant populations observed at an...

this study aims at analyzing spatial pattern and associations of fagus oriantalis lipsky in different vertical classes in intact beech forests. data collection was done in 25 ha plot in gorazbon district of educational and experimental forests of university of tehran. species and dbh of all trees with dbh > 7.5 cm were recorded. the location of each tree was determined using azimuth and distanc...