scholarly journals Detecting critical decision points in psychotherapy and psychotherapy + medication for chronic depression.

2013 ◽  
Vol 81 (5) ◽  
pp. 783-792 ◽  
Author(s):  
Dana Steidtmann ◽  
Rachel Manber ◽  
Christine Blasey ◽  
John C. Markowitz ◽  
Daniel N. Klein ◽  
...  
2017 ◽  
Author(s):  
Nina K. Vollbehr ◽  
Brian D. Ostafin ◽  
Rogier Hoenders ◽  
Agna A. Bartels-Velthuis

2002 ◽  
Vol 2 (3) ◽  
pp. 135-141
Author(s):  
Susan L. Hendrix ◽  
Richard Derman ◽  
Richard T. Kloos
Keyword(s):  

2016 ◽  
Vol 26 ◽  
pp. 7-83 ◽  
Author(s):  
Bryan J. Found ◽  
Carolyne Bird

Overview:   This document provides a summary of a practical method that can be used to compare handwriting (whether text-based or signatures) in the forensic environment. It is intended to serve as an approach to forensic handwriting examination for practitioners actively involved in casework, or for those interested in investigating general aspects of the practice of forensic handwriting examination (for example researchers, academics and legal professionals). The method proposed does not cover in detail all aspects of the examination of handwriting. It does, however, form the framework of forensic handwriting methodology in the government environment in Australia and New Zealand as represented by the Document Examination Specialist Advisory Group (DocSAG). It is noted from the outset that handwriting is examined using complex human perceptual and cognitive processes that can be difficult to accurately and validly describe in written form since, for the most part, these processes are hidden. What is presented here is the agreed general approach that DocSAG practitioners use in the majority of the comparisons that they carry out. The method is based around a flow diagram which structures the comparison process and provides the reader with a guide as to the significant landmark stages commonly worked through in practical handwriting examinations. Where decision points occur within the course of the method flow diagram a series of modules have been developed which describe the nature of the decision under consideration and address relevant theoretical and practical issues. Each module is, as far as is practical, independent of other modules in the method. This assists in facilitating changes in the process over time that may result from theoretical, practical or technological advances in the field. Purchase Volume 26 - Special Issue - $40


Author(s):  
Kathryn E. Kanzler ◽  
Donald D. McGeary ◽  
Cindy McGeary ◽  
Abby E. Blankenship ◽  
Stacey Young-McCaughan ◽  
...  

Author(s):  
Eun‐Hye Lee ◽  
Ju‐Wan Kim ◽  
Hee‐Ju Kang ◽  
Sung‐Wan Kim ◽  
Il‐Seon Shin ◽  
...  

Author(s):  
Haoyang Meng ◽  
Sheng Dong ◽  
Jibiao Zhou ◽  
Shuichao Zhang ◽  
Zhenjiang Li

Green flash light (FG) and green countdown (GC) are the two most common signal formats applied in green-red transition that provides drivers additional alert before termination of green phase. Due to their importance and function in stop-pass decision-making process, proper use of them has become a critical issue to greatly improve the safety and efficiency of signalized intersections. Gradually e-bike riders have become more important commuters in China, however, the influence of FG or GC on them is not clear yet and need pay more attention to it. This study chooses two almost identical intersections to obtain highly accurate trajectory data of e-bike riders to study their decision-making behaviors under FG or GC. The e-bike riders’ behavior is classified into four categories and is to identify their stop-pass decision points using the acceleration trend. Two binary-logit models were built to predict the stop–pass decision behaviors for the different e-bike rider groups, explaining that the potential time to the stop-line is the dominant independent factor of the different behaviors of GC and FG. Furthermore empirical analysis of decision points indicated that GC provides the earlier stop-pass decision point and longer decision making duration on the one side while results in more complexity of decision making and greater risk of stop-line crossing than FG on the other side.


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