Mechanistic relationship between instruction fetch width and basic block size to architectural vulnerability factor

2016 ◽  
Author(s):  
Liu Tang ◽  
Zhangqin Huang
Keyword(s):  
Block Size ◽  
Basic Block ◽  
Vulnerability Factor ◽  
Instruction Fetch

Why Can’t I Stop Thinking About It?

2015 ◽  
Vol 74 (2) ◽  
pp. 75-82 ◽  
Author(s):  
Monique C. Pfaltz ◽  
Beatrice Mörstedt ◽  
Andrea H. Meyer ◽  
Frank H. Wilhelm ◽  
Joe Kossowsky ◽  
...  
Keyword(s):  
Thought Suppression ◽  
Positive Association ◽  
Repetitive Behaviors ◽  
Thought Processes ◽  
Obsessive Compulsive ◽  
Vulnerability Factor ◽  
Compulsive Disorder ◽  
Order Factor ◽  
Maladaptive Thought ◽  
Severe Anxiety

Obsessive-compulsive disorder (OCD) is a severe anxiety disorder characterized by frequent obsessive thoughts and repetitive behaviors. Neuroticism is a vulnerability factor for OCD, yet the mechanisms by which this general vulnerability factor affects the development of OCD-related symptoms are unknown. The present study assessed a hierarchical model of the development of obsessive thoughts that includes neuroticism as a general, higher-order factor, and specific, potentially maladaptive thought processes (thought suppression, worry, and brooding) as second-order factors manifesting in the tendency toward obsessing. A total of 238 participants completed questionnaires assessing the examined constructs. The results of mediator analyses demonstrated the hypothesized relationships: A positive association between neuroticism and obsessing was mediated by thought suppression, worry, and brooding. Independent of the participant’s sex, all three mediators contributed equally and substantially to the association between neuroticism and obsessing. These findings extend earlier research on hierarchical models of anxiety and provide a basis for further refinement of models of the development of obsessive thoughts.

Need for achievement as a vulnerability factor in a politicized work setting

2010 ◽  
Author(s):  
M. Berset ◽  
J. Henseleit ◽  
F. Omlin ◽  
S. Willi ◽  
N. K. Semmer ◽  
...  
Keyword(s):  
Work Setting ◽  
Need For Achievement ◽  
Vulnerability Factor

Image Compression Using Vector Quantization with Variable Block Size Division

2010 ◽  
Vol 130 (8) ◽  
pp. 1431-1439 ◽  
Author(s):  
Hiroki Matsumoto ◽  
Fumito Kichikawa ◽  
Kazuya Sasazaki ◽  
Junji Maeda ◽  
Yukinori Suzuki
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Block Size ◽  
Variable Block

Superionic Lithium Intercalation through 2 nm x 2 nm Columns in the Crystallographic Shear Phase Nb18W8O69

2019 ◽  
Author(s):  
Kent Griffith ◽  
Clare Grey
Keyword(s):  
High Performance ◽  
Rate Capability ◽  
Block Size ◽  
Lithium Intercalation ◽  
Resonance Spectroscopy ◽  
Complex Metal Oxides ◽  
Battery Electrode ◽  
Crystallographic Shear ◽  
Battery Material ◽  
First Time

Nb18W8O69 (9Nb2O5×8WO3) is the tungsten-rich end-member of the Wadsley–Roth crystallographic shear (cs) structures within the Nb2O5–WO3 series. It has the largest block size of any known, stable Wadsley–Roth phase, comprising 5 ´ 5 units of corner-shared MO6 octahedra between the shear planes, giving rise to 2 nm ´ 2 nm blocks. Rapid lithium intercalation is observed in this new candidate battery material and 7Li pulsed field gradient nuclear magnetic resonance spectroscopy – measured in a battery electrode for the first time at room temperature – reveals superionic lithium conductivity. In addition to its promising rate capability, Nb18W8O69 adds a piece to the larger picture of our understanding of high-performance Wadsley–Roth complex metal oxides.

A Study of the Average Flow in Open Channel with Baffle Blocks Distributed Uniformly

10.29007/zx1w ◽  
2018 ◽  
Author(s):  
Dung Tien Tran ◽  
Anh Tuan Le ◽  
Hong Nhung Le ◽  
Viet Hung Ho
Keyword(s):  
Water Level ◽  
Water Depth ◽  
Open Channel ◽  
Block Size ◽  
Average Flow ◽  
Modelling Studies ◽  
Baffle Block

A study of average flow in open channel with baffle blocks distributed uniformly has been considered by using channel with varied slopes. In this article, experimental and modelling studies were introduced when the correlation between the water depth and baffle block size is significant. The objective of the work is to give the rudimentary relations between discharge and water level in the channels. When the water depth is large, the effect of bottom channel friction on the flow is relatively small. This paper also gives applications of the software ‘Telemac-2D’ to simulate the flow under different conditions.

Correction: “Influence of Selection Bias on the Test Decision – A Simulation Study”

2014 ◽  
Vol 53 (05) ◽  
pp. 343-343
Keyword(s):  
Selection Bias ◽  
Simulation Study ◽  
Error Rate ◽  
Type I Error ◽  
Block Size ◽  
Error Rates ◽  
Type I ◽  
Type I Error Rate ◽  
Representation Error ◽  
Numeric Representation

We have to report marginal changes in the empirical type I error rates for the cut-offs 2/3 and 4/7 of Table 4, Table 5 and Table 6 of the paper “Influence of Selection Bias on the Test Decision – A Simulation Study” by M. Tamm, E. Cramer, L. N. Kennes, N. Heussen (Methods Inf Med 2012; 51: 138 –143). In a small number of cases the kind of representation of numeric values in SAS has resulted in wrong categorization due to a numeric representation error of differences. We corrected the simulation by using the round function of SAS in the calculation process with the same seeds as before. For Table 4 the value for the cut-off 2/3 changes from 0.180323 to 0.153494. For Table 5 the value for the cut-off 4/7 changes from 0.144729 to 0.139626 and the value for the cut-off 2/3 changes from 0.114885 to 0.101773. For Table 6 the value for the cut-off 4/7 changes from 0.125528 to 0.122144 and the value for the cut-off 2/3 changes from 0.099488 to 0.090828. The sentence on p. 141 “E.g. for block size 4 and q = 2/3 the type I error rate is 18% (Table 4).” has to be replaced by “E.g. for block size 4 and q = 2/3 the type I error rate is 15.3% (Table 4).”. There were only minor changes smaller than 0.03. These changes do not affect the interpretation of the results or our recommendations.

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