Increased accessibility of health data provides unique opportunities to discover spatio-temporal patterns of diseases. For example, New York State SPARCS (Statewide Planning and Research Cooperative System) data collects patient level detail on patient demographics, diagnoses, services, and charges for each hospital inpatient stay and outpatient visit. Such data also provides home addresses for...

Electroencephalogram (EEG) recordings during right and left motor imagery allow one to establish a new communication channel for, e.g., patients with amyotrophic lateral sclerosis. Such an EEG-based brain-computer interface (BCI) can be used to develop a simple binary response for the control of a device. Three subjects participated in a series of on-line sessions to test if it is possible to u...

In this paper, the system of language and architecture has been studied in three levels of elemental, structural and semantic in cases of traditional and modern mosques in Iran through the method of analyzing the content of texts and in a conceptual model. Then, in a comparative method, the common patterns of these systems have been explained at all three levels. The common features at the elem...

Searching for targets in large volume imagery is a challenging problem. A potentially promising solution, rapid image triage (RAIT), is essentially a cortically-coupled computer vision technique based on single-trial detection of event-related potentials (ERP). This paper presents a novel feature selection method, termed common spatio-temporal patterns (CSTP), which is critical for robust singl...

For efficient decoding of brain activities in analyzing brain function with an application to brain machine interfacing (BMI), we address a problem of how to determine spatial weights (spatial patterns), bandpass filters (frequency patterns), and time windows (time patterns) by utilizing electroencephalogram (EEG) recordings. To find these parameters, we develop a data-driven criterion that is ...

the complexity of urban systems in our recent world, make it difficult to evaluation and explanation of their changes with traditional and customarily methods. in the past, remote sensing has shown an ability to detect and describe urban growth patterns at different spatial scales. with new remote sensing devices (e.g. ikonos), with innovative image processing techniques and with further develo...

The presentation of epilepsy with depression/anxiety disorder (E-AD) is a complex comorbidity, and systematic psychiatric screen poses heavy economic burden on the patients. Typically, distinguishing between E-AD patients without (E-no-AD) needs multiple evaluations, which incredibly difficult owing to high costs. Therefore, there an urgent need for reliable assessment protocol preemptively dis...