Critical Nodes Evaluation in Large-Scale Software Based on Static Structure and Runtime Information

Author(s):  
Ye Qian ◽  
Lu Minyan ◽  
Li Luyi
2002 ◽  
Vol 754 ◽  
Author(s):  
Jürgen Horbach ◽  
Anke Winkler ◽  
Walter Kob ◽  
Kurt Binder

ABSTRACTWe present the results of large scale computer simulations to discuss the structural and dynamic properties of silicate melts with the compositions (Na2O)(2·SiO2), (Na2O)(20·SiO2) and (Al2O3)(2·SiO2). We show that these systems exhibit additional intermediate range order as compared to silica (SiO2) where the characteristic intermediate length scales stem from the tetrahedral network structure. Furthermore we show that the sodium dynamics in the sodium silicate systems exhibits a very peculiar feature: the long–time decay of the incoherent intermediate scattering function can be described by a Kohlrausch law with a constant exponent β for q > qth whereby qth is smaller than the location of the main peak in the static structure factor for the Na–Na correlations.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Dengcheng Yan ◽  
Zhen Shao ◽  
Yiwen Zhang ◽  
Bin Qi

With the wide adoption of social collaborative coding, more and more developers participate and collaborate on platforms such as GitHub through rich social and technical relationships, forming a large-scale complex technical system. Like the functionalities of critical nodes in other complex systems, influential developers and projects usually play an important role in driving this technical system to more optimized states with higher efficiency for software development, which makes it a meaningful research direction on identifying influential developers and projects in social collaborative coding platforms. However, traditional ranking methods seldom take into account the continuous interactions and the driving forces of human dynamics. In this paper, we combine the bursty interactions and the bipartite network structure between developers and projects and propose the BurstBiRank model. Firstly, the burstiness between each pair of developers and projects is calculated. Secondly, a weighted developer-project bipartite network is constructed using the burstiness as weight. Finally, an iterative score diffusion process is applied to this bipartite network and a final ranking score is obtained at the stationary state. The real-world case study on GitHub demonstrates the effectiveness of our proposed BurstBiRank and the outperformance of traditional ranking methods.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 2917-2917
Author(s):  
Tai-Sung Lee ◽  
Steven Potts ◽  
Hagop Kantarjian ◽  
Jorge Cortes ◽  
Francis Giles ◽  
...  

Abstract Molecular dynamics (MD) simulations on the complex of imatinib with the wild-type, T315I, and other 10 P-loop mutants of the tyrosine kinase Bcr-Abl have been performed to study the imatinib resistance mechanism at the atomic level. MD simulations show that large scale computational simulations could offer insight information that a static structure or simple homology modeling methods cannot provide for studying the Bcr-Abl imatinib resistance problem, especially in the case of conformational changes due to remote mutations. By utilizing the Molecular Mechanics/Poisson-Boltzmann surface area (MM-PBSA) techniques and analyzing the interactions between imatinib and individual residues, imatinib resistance mechanisms not previously thought have been revealed. Non-directly contacted P-loop mutations either unfavorably change the direct electrostatic interactions with imatinib, or cause the conformational changes influencing the contact energies between imatinib and other non-P-loop residues. We demonstrate that imatinib resistance of T315I mainly comes from the breakdown of the interactions between imatinib and E286 and M290, contradictory to previously suggested that the missing hydrogen bonding is the main contribution. We also demonstrate that except for the mutations of the direct contact residues, such as L248 and Y253, the unfavorable electrostatic interaction between P-loop and imatinib is the main reason for resistance for the P-loop mutations. Furthermore, in Y255H, protonation of the histidin is essential for rendering this mutation resistant to Gleevec. Our results demonstrate that MD is a powerful way to verify and predict clinical response or resistance to imatinib and other potential drugs.


2021 ◽  
Vol 54 (6) ◽  
pp. 1-37
Author(s):  
Shilin He ◽  
Pinjia He ◽  
Zhuangbin Chen ◽  
Tianyi Yang ◽  
Yuxin Su ◽  
...  

Logs are semi-structured text generated by logging statements in software source code. In recent decades, software logs have become imperative in the reliability assurance mechanism of many software systems, because they are often the only data available that record software runtime information. As modern software is evolving into a large scale, the volume of logs has increased rapidly. To enable effective and efficient usage of modern software logs in reliability engineering, a number of studies have been conducted on automated log analysis. This survey presents a detailed overview of automated log analysis research, including how to automate and assist the writing of logging statements, how to compress logs, how to parse logs into structured event templates, and how to employ logs to detect anomalies, predict failures, and facilitate diagnosis. Additionally, we survey work that releases open-source toolkits and datasets. Based on the discussion of the recent advances, we present several promising future directions toward real-world and next-generation automated log analysis.


Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000011922
Author(s):  
Kristina Simonyan ◽  
Julie Barkmeier-Kraemer ◽  
Andrew Blitzer ◽  
Mark Hallett ◽  
John F Houde ◽  
...  

Objective.To delineate research priorities for improving clinical management of laryngeal dystonia, the NIH convened a multi-disciplinary panel of experts for a one-day workshop to examine the current progress in understanding its etiopathophysiology and clinical care.Methods.The participants reviewed the current terminology of disorder and discussed advances in understanding its pathophysiology since a similar workshop was held in 2005. Clinical and research gaps were identified, and recommendations for future directions were delineated.Results.The panel unanimously agreed to adopt the term “laryngeal dystonia” instead of “spasmodic dysphonia” to reflect the current progress in characterizations of this disorder. Laryngeal dystonia was recognized as a multifactorial, phenotypically heterogeneous form of isolated dystonia. Its etiology remains unknown, whereas the pathophysiology likely involves large-scale functional and structural brain network disorganization. Current challenges include the lack of clinically validated diagnostic markers and outcome measures and the paucity of therapies that address the disorder pathophysiology.Conclusion.Research priorities should be guided by challenges in clinical management of laryngeal dystonia. Identification of disorder-specific biomarkers would allow the development of novel diagnostic tools and unified measures of treatment outcome. Elucidation of the critical nodes within neural networks that cause or modulate symptoms would allow the development of targeted therapies that address the underlying pathophysiology. Given the rarity of laryngeal dystonia, future rapid research progress may be facilitated by multi-center, national and international collaborations.


2009 ◽  
Vol 53 (2) ◽  
pp. 352-369 ◽  
Author(s):  
Haohua Zhang ◽  
Hai Zhao ◽  
Wei Cai ◽  
Jie Liu ◽  
Wanlei Zhou

1991 ◽  
Vol 248 ◽  
Author(s):  
K. Svoboda ◽  
C.F. Schmidt ◽  
N. Lei ◽  
C.R. Safinya ◽  
S.M. Block ◽  
...  

AbstractWe studied the conformation of the membrane skeleton of human red blood cells (RBC) after detergent extraction of RBC ghosts, using video microscopy, light scattering, and synchrotronbased small angle X-ray scattering (SAXS). RBC membrane skeletons are two-dimensionally connected, triangulated networks of flexible, polyionic proteins. Immediately after extraction, the skeletons exhibited large-scale thermal undulations and deformed strongly in weak shear flow. Screening of electrostatic repulsion by immersion in high ionic strength buffer led to shrinkage, while the shell-like conformations and the flexibility of the skeletons were preserved. Under high ionic strength conditions (1 M monovalent salt), the static structure factor, S(q), showed two power law regimes S(q) ∝ q −α, with α <≈ 2.0 in the range of wave vectors 4×10−4 Å−1 < g < 8×10−4 Å−1, and α = 2.3 ± 0.1 in the range of wave vectors 8×10−4 Å−1 < q < l×10−1 Å−1. The same power law behavior was observed in low ionic strength buffer (25 mM salt) for q < 2×10−3 Å−1. This result is not consistent with the occurence of a crumpling transition during skeleton shrinkage. The observed form of the static structure factor, with a transition between two regimes with different power law exponents, presents evidence for the theoretically predicted flat phase of 2D-polymers.


2011 ◽  
Vol 204-210 ◽  
pp. 1441-1445
Author(s):  
Xiao Hong Wu ◽  
Lin Wang ◽  
Zhan Lun Cao ◽  
Zhi Jun Yang

Quasi-static structure in each configuration and load conditions may be static stiffness or frequency of a special vibration mode can be optimized to meet the design requirements. Considering the size disparity in stiffness and load conditions, the unit strain energy density as the unit of sensitivity is proposed as the basis of cell properties to modify the sensitivity of the dimensionless mixing measure, and use the evolutionary algorithm with recovery function, calculation will be simple and implement easily in the large-scale finite element software, and can quickly reach optimal goals. Meanwhile, the proposed calculation eigenvalue sensitivity of unit and sensitivity synthesis method can also be taken into account static sensitivity and dynamic sensitivity to meet the dynamic performance requirements.


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