Titlebook: Looming Vulnerability; Theory, Research and John H. Riskind,Neil A. Rector Book 2018 Springer Science+Business Media, LLC, part of Springer

Annihilate

书目名称Looming Vulnerability影响因子(影响力)




书目名称Looming Vulnerability影响因子(影响力)学科排名




书目名称Looming Vulnerability网络公开度




书目名称Looming Vulnerability网络公开度学科排名




书目名称Looming Vulnerability被引频次




书目名称Looming Vulnerability被引频次学科排名




书目名称Looming Vulnerability年度引用




书目名称Looming Vulnerability年度引用学科排名




书目名称Looming Vulnerability读者反馈




书目名称Looming Vulnerability读者反馈学科排名

FILLY

Looming Cognitive Style Contributes to Etiological Processes in Anxiety Disorders,or be static than if it is perceived as progressing quickly and suddenly. Notably, a threat is less likely to have an impact on etiological pathways if it is not perceived as dynamically growing. The looming cognitive style (LCS) is introduced to represent these theoretical features of cognitive vul

悲观

Looming Vulnerability in Obsessive Compulsive Disorder, Psychiatric Association, 2013). Common compulsions include cleaning, washing, checking, repeating, ordering, hoarding, counting, and praying (Abramowitz et al., 2003). Reassurance seeking is another compulsion that is observed clinically, but under-researched. Compulsions are either not connected i

LATHE

squander

人充满活力

John H. Riskind,Neil A. Rectorushkov automaton can be constructed in time quadratic in the size of the expression, and that this is worst case optimal. For deterministic expressions, our algorithm has even linear run time. This improves on the cubic time methods suggested in the literature [BEGO71,ASU86,BS86]. A major step of th

GROWL

AVOW

John H. Riskind,Neil A. Rectorng DDs are free or ordered, but not (necessarily) complete. We use this property to derive several results on the computational power of OFDDs and OBDDs. Symmetric functions are shown to have efficient representations as OBDDs and OFDDs as well. Classes of functions are given that have exponentially

dura-mater

John H. Riskind,Neil A. Rectore to unbounded variables. Further, we extend the results, showing that similar bounds hold under weaker restrictions on .(.). As an application, we derive performance bounds for an interesting class of algorithms that was outside the scope of the previous results.

JAMB

John H. Riskind,Neil A. Rectorhe correct ‘spectrum’ of the .-vertex subhypergraphs is equivalent to quasi-randomness for any . ≥ 2.. Our work can be viewed as an extension of the results of Chung and Graham to the case of an arbitrary constant valued density. Our methods, however, are based on different ideas.