Research on Internal Dynamic in Interactive Development among Airport-Based Comprehensive Bonded Zones

2014 ◽  
pp. 539-543 ◽  
Author(s):  
Danyang Shen
Keyword(s):  
Internal Dynamic

Democratic Centralisms—Plural? A Comparative Analysis of Functional Communism in the French and Italian Communist Party Federations of Var and Gorizia, 1956

2020 ◽  
Vol 53 (1) ◽  
pp. 27-54
Author(s):  
Fiona Haig
Keyword(s):  
Comparative Analysis ◽  
20Th Century ◽  
Communist Party ◽  
Internal Dynamic ◽  
Postwar Period ◽  
Internal Organization ◽  
Democratic Centralism ◽  
Pyramidal Model

Democratic centralism was the Leninist-Bolshevik pyramidal model of internal organization in operation in all communist parties for most of the 20th century. Thus far, the question of whether it functioned consistently across the non-ruling parties has not been addressed explicitly or systematically. This article examines the implementation of this essential internal dynamic in a French and an Italian communist party federation in the early postwar period. Drawing on new personal testimonies from more than 50 informants, and inedita archival evidence, this analysis reveals not only similarities but also clear functional disparities between the two cases.

Elucidating the Disparate Inhibitory Mechanisms of Novel 1-Heteroaryl1,3-Propanediamine Derivatives and Maraviroc towards C-C Chemokine Receptor 5: Insights for Structural Modifications in HIV-1 Drug Discovery

2020 ◽  
Vol 17 ◽  
Author(s):  
Patrick Appiah-Kubi ◽  
Fisayo Andrew Olotu ◽  
Mahmoud E. S. Soliman
Keyword(s):  
Drug Discovery ◽  
Chemokine Receptor ◽  
Competitive Inhibition ◽  
Dynamic Effect ◽  
Triazole Ring ◽  
Internal Dynamic ◽  
V3 Loop ◽  
Structural Modifications ◽  
Hiv 1 ◽  
Chemokine Receptor 5

Introduction: Blocking Human Immunodeficiency Virus type 1 (HIV-1) entry via C-C chemokine receptor 5 (CCR5) inhibition has remained an essential strategy in HIV drug discovery. This underlies the development of CCR5 blockers, such as Maraviroc, which, however, elicits undesirable side effects despite its potency. Background: Recent lead optimization efforts led to the discovery of novel 1-heteroaryl-1,3-propanediamine derivatives; Compd-21 and -34, which were ~3 times more potent than Maraviroc, with improved pharmacokinetics. However, atomistic molecular interaction mechanism of how slight structural variance between these inhibitors significantly affects their binding profiles have not been elucidated. Method: This study employed explicit lipid bilayer molecular dynamics (MD) simulations, and advance analyses to explore these inhibitory discrepancies. Results: Findings revealed that the thiophene moiety substitution common to Compd-21 and -34 enhanced their CCR5- inhibitory activities due to complementary high-affinity interactions with Trp862.60, Tyr1083.32, Tyr2516.51, Glu2837.39. These cumulatively accounted for their ΔGbind which were higher than Maraviroc. Binding dynamics further revealed that the compounds mediated direct competitive inhibition at CCR5 by blocking the gp120 V3 loop. Furthermore, constituent tropane and triazole moieties in the compounds commonly engaged in interactions with Glu2837.39 and Trp862.60, respectively. Structural analyses also revealed that both Compd-21 and -34 elicited distinct internal dynamic effect on CCR5 relative to Maraviroc. Conclusion: Structural modifications at the thiophene substituent and the addition of new functional groups to the triazole ring may enhance inhibitor competition with gp120 V3-loop. Findings herein highlighted would contribute to future structure-based design of inhibitors of HIV-1 CCR5 with improved potencies.

DYNAMICAL RECURRENT NEURAL NETWORKS — TOWARDS ENVIRONMENTAL TIME SERIES PREDICTION

1995 ◽  
Vol 06 (02) ◽  
pp. 145-170 ◽  
Author(s):  
ALEX AUSSEM ◽  
FIONN MURTAGH ◽  
MARC SARAZIN
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Recurrent Neural Networks ◽  
Time Series Prediction ◽  
Predictive Ability ◽  
Complex Problem ◽  
Internal Variables ◽  
Internal Dynamic ◽  
K Nearest Neighbors ◽  
Fuzzy Coding

Dynamical Recurrent Neural Networks (DRNN) (Aussem 1995a) are a class of fully recurrent networks obtained by modeling synapses as autoregressive filters. By virtue of their internal dynamic, these networks approximate the underlying law governing the time series by a system of nonlinear difference equations of internal variables. They therefore provide history-sensitive forecasts without having to be explicitly fed with external memory. The model is trained by a local and recursive error propagation algorithm called temporal-recurrent-backpropagation. The efficiency of the procedure benefits from the exponential decay of the gradient terms backpropagated through the adjoint network. We assess the predictive ability of the DRNN model with meteorological and astronomical time series recorded around the candidate observation sites for the future VLT telescope. The hope is that reliable environmental forecasts provided with the model will allow the modern telescopes to be preset, a few hours in advance, in the most suited instrumental mode. In this perspective, the model is first appraised on precipitation measurements with traditional nonlinear AR and ARMA techniques using feedforward networks. Then we tackle a complex problem, namely the prediction of astronomical seeing, known to be a very erratic time series. A fuzzy coding approach is used to reduce the complexity of the underlying laws governing the seeing. Then, a fuzzy correspondence analysis is carried out to explore the internal relationships in the data. Based on a carefully selected set of meteorological variables at the same time-point, a nonlinear multiple regression, termed nowcasting (Murtagh et al. 1993, 1995), is carried out on the fuzzily coded seeing records. The DRNN is shown to outperform the fuzzy k-nearest neighbors method.

scholarly journals “Calling it a Crisis”: Modes of Creative Labour and Magic in an Elite Architect Company

2015 ◽  
Vol 4 (2) ◽  
pp. 201 ◽  
Author(s):  
Aina Landsverk Hagen
Keyword(s):  
Global Financial Crisis ◽  
Internal Dynamic ◽  
Work Processes ◽  
Capitalist System ◽  
Everyday Work ◽  
Democratic Ideology ◽  
The Global Financial Crisis ◽  
Analytical Category ◽  
Anthropological Literature ◽  
Risk Reducing

In recent years we have seen a resurfacing of magic as an analytical category in anthropological literature, with particular emphasis on modern forms of occultism and witchcraft. Magic has yet to prove itself a useful analytical tool within the anthropology of organizations, and this article aims at understanding everyday work processes through the concepts of myth and magic. The discussion is based on empirical data from an internationally acclaimed architect company based in Norway, with a particular focus on a period of downsizing in the aftermath of the global financial crisis in 2008. The architects try to uphold an egalitarian, social-democratic ideology of creativity within a capitalist system and make use of a range of magical practices in order to succeed. The article shows how narrative flexibility transforms the brutality of downsizing into a mode of creative labour, and concludes that the internal dynamic between risk taking and risk reducing is inherent in both magical practices and capitalist systems.

scholarly journals Present dynamics and future prognosis of a slowly surging glacier

2011 ◽  
Vol 5 (1) ◽  
pp. 299-313 ◽  
Author(s):  
G. E. Flowers ◽  
N. Roux ◽  
S. Pimentel ◽  
C. G. Schoof
Keyword(s):  
Mass Balance ◽  
Force Balance ◽  
Surface Velocity ◽  
Internal Dynamic ◽  
Ice Dynamics ◽  
Surface Mass ◽  
Ice Surface ◽  
Glacier Ice ◽  
Glacier Flow ◽  
Negative Balance

Abstract. Glacier surges are a well-known example of an internal dynamic oscillation whose occurrence is not a direct response to the external climate forcing, but whose character (i.e. period, amplitude, mechanism) may depend on the glacier's environmental or climate setting. We examine the dynamics of a small (∼5 km2) valley glacier in Yukon, Canada, where two previous surges have been photographically documented and an unusually slow surge is currently underway. To characterize the dynamics of the present surge, and to speculate on the future of this glacier, we employ a higher-order flowband model of ice dynamics with a regularized Coulomb-friction sliding law in both diagnostic and prognostic simulations. Diagnostic (force balance) calculations capture the measured ice-surface velocity profile only when non-zero basal water pressures are prescribed over the central region of the glacier, coincident with where evidence of the surge has been identified. This leads to sliding accounting for 50–100% of the total surface motion in this region. Prognostic simulations, where the glacier geometry evolves in response to a prescribed surface mass balance, reveal a significant role played by a bedrock ridge beneath the current equilibrium line of the glacier. Ice thickening occurs above the ridge in our simulations, until the net mass balance reaches sufficiently negative values. We suggest that the bedrock ridge may contribute to the propensity for surges in this glacier by promoting the development of the reservoir area during quiescence, and may permit surges to occur under more negative balance conditions than would otherwise be possible. Collectively, these results corroborate our interpretation of the current glacier flow regime as indicative of a slow surge that has been ongoing for some time, and support a relationship between surge incidence or character and the net mass balance. Our results also highlight the importance of glacier bed topography in controlling ice dynamics, as observed in many other glacier systems.

Optimal supply chain performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Supply Chain ◽  
Data Analytics ◽  
Business Performance ◽  
Design Methodology ◽  
Dynamic Capabilities ◽  
Internal Dynamic ◽  
Content Type ◽  
Combining Data ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Companies can enhance their supply chain by combining data analytics and the digitization of activities. Manager focus on internal dynamic capabilities and effectiveness of data acquisition and utilization increases the possibility of improved operational and business performance. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Angle of Deflection

2020 ◽  
pp. 407-422
Author(s):  
Haym Soloveitchik
Keyword(s):  
Economic Activity ◽  
Internal Dynamic ◽  
Islamic World ◽  
Social Pressures ◽  
Legal Formalism ◽  
Breaking Work

This chapter reflects on the principle of 'angle of deflection' or 'measurable deflection'. This principle has been utilized superbly by Mark Cohen in his path-breaking work on Jewish economic activity in the Islamic world. But the principle of angle of deflection still has its critics. Some have seen in it a reflection of legal formalism. Whether law develops from within, as a consequence of an internal dynamic, or whether its motor force is social pressures and the personal predilections and ideologies of judges is an ancient jurisprudential question. The principle of angle of deflection is, however, not a jurisprudential but an evidentiary one. Both formalists and realists agree that the dominant motor force in a system does not operate to the exclusion of all else. The rule of the angle of deflection provides the historian with a criterion by which to assess whether or not a specific jurist in a specific case was influenced by outside considerations.

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