Reducing False Alarms of Annual Forecast in the Central China North–South Seismic Belt by Reverse Tracing of Precursors (RTP) Using the Pattern Informatics (PI) ‘Hotspots’

Earthquakes and Multi-hazards Around the Pacific Rim, Vol. I - Pageoph Topical Volumes ◽

10.1007/978-3-319-71565-0_14 ◽

2017 ◽

pp. 207-216

Author(s):

Shengfeng Zhang ◽

Zhongliang Wu ◽

Changsheng Jiang

Keyword(s):

Central China ◽

False Alarms ◽

Seismic Belt ◽

Pattern Informatics ◽

Reverse Tracing Of Precursors

Download Full-text

Reducing False Alarms of Annual Forecast in the Central China North–South Seismic Belt by Reverse Tracing of Precursors (RTP) Using the Pattern Informatics (PI) ‘Hotspots’

Pure and Applied Geophysics ◽

10.1007/s00024-016-1318-8 ◽

2016 ◽

Vol 174 (6) ◽

pp. 2401-2410 ◽

Cited By ~ 1

Author(s):

Shengfeng Zhang ◽

Zhongliang Wu ◽

Changsheng Jiang

Keyword(s):

Central China ◽

False Alarms ◽

Seismic Belt ◽

Pattern Informatics ◽

Reverse Tracing Of Precursors

Download Full-text

The Central China North–South Seismic Belt: Seismicity, Ergodicity, and Five-year PI Forecast in Testing

Pure and Applied Geophysics ◽

10.1007/s00024-015-1123-9 ◽

2015 ◽

Vol 173 (1) ◽

pp. 245-254 ◽

Cited By ~ 5

Author(s):

Shengfeng Zhang ◽

Zhongliang Wu ◽

Changsheng Jiang

Keyword(s):

Central China ◽

Seismic Belt

Download Full-text

Picture Recognition Errors in the Differential Diagnosis of Alzheimer’s Disease

Zeitschrift für Neuropsychologie ◽

10.1024/1016-264x/a000263 ◽

2019 ◽

Vol 30 (3) ◽

pp. 157-168

Author(s):

Helmut Hildebrandt ◽

Jana Schill ◽

Jana Bördgen ◽

Andreas Kastrup ◽

Paul Eling

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Differential Diagnosis ◽

Clinical Diagnosis ◽

Response Bias ◽

Recognition Task ◽

Discriminatory Power ◽

False Alarms ◽

Picture Recognition ◽

Recognition Errors

Abstract. This article explores the possibility of differentiating between patients suffering from Alzheimer’s disease (AD) and patients with other kinds of dementia by focusing on false alarms (FAs) on a picture recognition task (PRT). In Study 1, we compared AD and non-AD patients on the PRT and found that FAs discriminate well between these groups. Study 2 served to improve the discriminatory power of the FA score on the picture recognition task by adding associated pairs. Here, too, the FA score differentiated well between AD and non-AD patients, though the discriminatory power did not improve. The findings suggest that AD patients show a liberal response bias. Taken together, these studies suggest that FAs in picture recognition are of major importance for the clinical diagnosis of AD.

Download Full-text