Transnational Terrorism

2016 ◽  
Vol 62 (3) ◽  
pp. 496-528 ◽  
Author(s):  
Andre Rossi de Oliveira ◽  
João Ricardo Faria ◽  
Emilson C. D. Silva

We investigate how externalities and cooperation affect nations’ efforts to counter transnational terrorism activities. Our model captures three factors whose interplay determines counterterrorism (CT) efforts and terrorist activity: the size of the spillover effect, the degree of internalization of the externality, and whether nations’ CT efforts have an asymmetric or symmetric effect on the security of other nations. In our symmetric model, preemptive CT efforts and terrorist activities decrease with the size of the externality regardless of the degree of cooperation between nations. In our asymmetric model, as the externality of the “smaller” nation increases, the “larger” nations reduce their efforts, and the smaller nation reacts by increasing its own efforts. We also investigate coalition stability and show that (a) in the preemptive case, the full coalition is not stable and partial coalitions are stable for sufficiently small externalities; and (b) in the defensive, symmetric case, only the full coalition is stable.

2021 ◽  
Vol 2 (4) ◽  
pp. 254-262
Author(s):  
Intan Surya Lesmana ◽  
Siti Saadah

This study aims to analyze the impact of the COVID-19 pandemic on Indonesia’s stock market performance. Considering the characteristics of daily stock return data that shows the characteristics of volatility clustering, the analytical method used is to develop a heteroscedastic model specification whose parameters are estimated using the maximum likelihood method. Based on data from March 2020 to January 2021, this study finds that the Exponential-GARCH asymmetric model is the best model compared to the Standard-GARCH symmetric model or the asymmetric Threshold-GARCH model. The inference analysis conducted on the Exponential-GARCH asymmetric model in this study shows that the stock market's performance that is significantly affected by this pandemic is the volatility of its returns. Stock price volatility is one of the important variables in stock market performance. This study produces empirical findings that government policies on social restrictions contribute significantly to suppressing stock market volatility. As for government policies in mitigating the risk of the spread of the epidemic, in this study, it is measured through a stringency index. This index was released by the Oxford COVID-19 Government Response Tracker (OxCGRT) which monitors the government's response to the coronavirus in 160 countries and is a parameter that evaluates the policies taken by a country's government based on nine metrics. This index does not measure the effectiveness of a country's government response, but only the level of tightness. However, the results of the tests carried out in this study did not find a significant impact of pandemic indicators, the number of cases, and the number of daily deaths related to COVID-19 on stock returns.


1994 ◽  
Vol 08 (06) ◽  
pp. 367-373 ◽  
Author(s):  
GIUSEPPE E. SANTORO ◽  
GABRIELE F. GIULIANI

We present exact expressions for the conduction electron phase shifts for the two-impurity Anderson model in terms of the impurity Green functions. We show that, for the symmetric model, to all orders in the perturbation theory in U, the only allowed value of the phase shifts is π/2. It is also shown that, quite generally, a vanishing of the phase shifts (signaling a RKKY phase) must be associated with the development of a gap in the impurity single particle excitation spectrum. In the symmetric case this is in turn associated with a divergence of the linear coefficient of the heat capacity. The implications of these results on the physics of the transition from Kondo to RKKY phases are briefly discussed.


2006 ◽  
pp. 149-186 ◽  
Author(s):  
Omar Lizardo

The events of 9/11 have rekindled interest in the social sciences concerning the global factors responsible for transnational terrorism. Two opposing frameworks currently dominate the scene: proponents of a “destructive globalization” approach argue that processes related to the transnationalization of capital produce native resistance in the more economically disadvantaged areas of the globe that is manifested as transnational terrorist attacks, especially against the U.S., “civilizing globalization” arguments point to precisely the opposite effect: economic globalization through the spread of markets and material goods brings with it prosperity and higher living standards, thus defusing the motivation to engage in high-risk political violence. In this paper, I propose an additional framework that goes beyond the narrow realism of the destructive globalization and civilizing globalization perspectives by examining the role of the globalization of world culture in theproduction of anti-u.s. terrorism. I argue that looking at the role of world cultural structuration is important because even though economic globalization may help create local grievances outside of the most economically advantaged areas of the world, cultural globalization provides the requisite models of individual and organizational action and the interpretive schemas that “empower” local actors with the constitutive capacity to engage in high-risk acts of political violence and allows them to make local/global connections. I test this framework using time-series world-level data in order to examine the global correlates of anti-u.s. terrorist activity for the last 30 years. The results provide mixed support for both civilizing globalization and destructive globalization viewpoints. Further, and in accord with the model proposed here, cultural globalization has a positive effect on the rate of anti-u.s. terrorist activity.


2006 ◽  
Vol 134 (5) ◽  
pp. 1355-1370 ◽  
Author(s):  
Lian Xie ◽  
Shaowu Bao ◽  
Leonard J. Pietrafesa ◽  
Kristen Foley ◽  
Montserrat Fuentes

Abstract A real-time hurricane wind forecast model is developed by 1) incorporating an asymmetric effect into the Holland hurricane wind model; 2) using the National Oceanic and Atmospheric Administration (NOAA)/National Hurricane Center’s (NHC) hurricane forecast guidance for prognostic modeling; and 3) assimilating the National Data Buoy Center (NDBC) real-time buoy data into the model’s initial wind field. The method is validated using all 2003 and 2004 Atlantic and Gulf of Mexico hurricanes. The results show that 6- and 12-h forecast winds using the asymmetric hurricane wind model are statistically more accurate than using a symmetric wind model. Detailed case studies were conducted for four historical hurricanes, namely, Floyd (1999), Gordon (2000), Lily (2002), and Isabel (2003). Although the asymmetric model performed generally better than the symmetric model, the improvement in hurricane wind forecasts produced by the asymmetric model varied significantly for different storms. In some cases, optimizing the symmetric model using observations available at initial time and forecast mean radius of maximum wind can produce comparable wind accuracy measured in terms of rms error of wind speed. However, in order to describe the asymmetric structure of hurricane winds, an asymmetric model is needed.


2002 ◽  
Vol 87 (3) ◽  
pp. 1586-1602 ◽  
Author(s):  
Andrew A. V. Hill ◽  
Mark A. Masino ◽  
Ronald L. Calabrese

We have created a computational model of the timing network that paces the heartbeat of the medicinal leech, Hirudo medicinalis. The rhythmic activity of this network originates from two segmental oscillators located in the third and fourth midbody ganglia. In the intact nerve cord, these segmental oscillators are mutually entrained to the same cycle period. Although experiments have shown that the segmental oscillators are coupled by inhibitory coordinating interneurons, the underlying mechanisms of intersegmental coordination have not yet been elucidated. To help understand this coordination, we have created a simple computational model with two variants: symmetric and asymmetric. In the symmetric model, neurons within each segmental oscillator called oscillator interneurons, inhibit the coordinating interneurons. In contrast, in the asymmetric model only the oscillator interneurons of one segmental oscillator inhibit the coordinating interneurons. In the symmetric model, when two segmental oscillators with different inherent periods are coupled, the faster one leads in phase, and the period of the coupled system is equal to the period of the faster oscillator. This behavior arises because, during each oscillation cycle, the oscillator interneurons of the faster segmental oscillator begin to burst before those of the slower oscillator, thereby terminating spike activity in the coordinating interneurons. Thus there is a brief period of time in each cycle when the oscillator interneurons of the slower segmental oscillator are relieved of inhibition from the coordinating interneurons. This “removal of synaptic inhibition” allows, within certain limits, the slower segmental oscillator to be sped to the period of the faster one. Thus the symmetric model demonstrates a plausible biophysical mechanism by which one segmental oscillator can entrain the other. In general the asymmetric model, in which only one segmental oscillator has the ability to inhibit the coordinating interneurons, behaves similarly, except only one segmental oscillator can control the period of the system. In addition, we simulated physiological experiments in which a “driving” stimulus, consisting of alternating positive and negative current steps, was used to control a single oscillator interneuron and thereby entrain the activity of the entire timing network.


Symmetry ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1356
Author(s):  
Haden L. Scott ◽  
Kristen B. Kennison ◽  
Thais A. Enoki ◽  
Milka Doktorova ◽  
Jacob J. Kinnun ◽  
...  

It is well known that the lipid distribution in the bilayer leaflets of mammalian plasma membranes (PMs) is not symmetric. Despite this, model membrane studies have largely relied on chemically symmetric model membranes for the study of lipid–lipid and lipid–protein interactions. This is primarily due to the difficulty in preparing stable, asymmetric model membranes that are amenable to biophysical studies. However, in the last 20 years, efforts have been made in producing more biologically faithful model membranes. Here, we review several recently developed experimental and computational techniques for the robust generation of asymmetric model membranes and highlight a new and particularly promising technique to study membrane asymmetry.


Author(s):  
C. Boulesteix ◽  
C. Colliex ◽  
C. Mory ◽  
B. Pardo ◽  
D. Renard

Contrast mechanisms, which are responsible of the various types of image formation, are generally thickness dependant. In the following, two imaging modes in the 100 kV CTEM are described : they are highly sensitive to thickness variations and can be used for quantitative estimations of step heights.Detailed calculations (1) of the bright-field intensity have been carried out in the 3 (or 2N+l)-beam symmetric case. They show that in given conditions, the two important symmetric Bloch waves interfere most strongly at a critical thickness for which they have equal emergent amplitudes (the more excited wave at the entrance surface is also the more absorbed). The transmitted intensity I for a Nd2O3 specimen has been calculated as a function of thickness t. The capacity of the method to detect a step and measure its height can be more clearly deduced from a plot of dl/Idt as shown in fig. 1.


2016 ◽  
pp. 77-93 ◽  
Author(s):  
E. Dzhagityan

The article looks into the spillover effect of the sweeping overhaul of financial regulation, also known as Basel III, for credit institutions. We found that new standards of capital adequacy will inevitably put downward pressure on ROE that in turn will further diminish post-crisis recovery of the banking industry. Under these circumstances, resilience of systemically important banks could be maintained through cost optimization, repricing, and return to homogeneity of their operating models, while application of macroprudential regulation by embedding it into new regulatory paradigm would minimize the effect of risk multiplication at micro level. Based on the research we develop recommendations for financial regulatory reform in Russia and for shaping integrated banking regulation in the Eurasian Economic Union (EAEU).


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