Deference or Proportionality: Two Concepts of Margin of Appreciation in the Strasbourg Court and Their Influences

The margin of appreciation is controversial and difficult to understand. Since its first reference in the case of Greece vs. UK, the meaning of this doctrine has evolved from deference to derogation from the European Convention to an inflation of language used or misused by the Strasbourg Court to preserve the State's 'room for manoeuvre' or 'latitude of deference or error.' In this paper, I divide the concept of margin of appreciation into two categories: the substantive and structural concept. The Strasbourg Court usually generously defers to national decisions in structural scrutiny where it has to respect European pluralism and the collective interests of the contracting parties unless domestic decisions are regarded as 'manifestly unreasonable.' In contrast, the European Human Rights Court scrutinizes carefully in the substantive sense of margin of appreciation. Some factors or test approaches will be identified first, by which the Court substantively narrows or limits the scope of margin preserved for the States. The result of two conceptual margins of appreciation may be reciprocally transformed in some circumstances. When the collective good surely undermines the core of Convention rights, the Court will not stand with the domestic argument since it must ensure the implementation of pan-European human rights standards. On the other side, the Court has no capacity to further increase strict scrutiny in cases where there is a complicated relationship between the means and ends in the proportionality test, implying that domestic courts are better placed than the supranational court given the fact that they know better the local reality and have more local knowledge.

Self-Coexistence Among Cognitive Radio Networks Using Risk-Motivated Channel Selection Based Deference Structure

Among cognitive radio networks there is a persistent trend of competition to acquire under-utilized and idle channels for data transmission. The competition for spectrum resources often results in the misuse of the spectrum resources as networks experience contention in attempt to access unoccupied spectrum bands. The competitive scenario causes cognitive radio networks to incur a huge amount of loss, which constitutes a major problem of self-coexistence among networks. As a way to minimize these losses we present a self-coexistence mechanism that allows cognitive radio networks to coexist with each other by implementing a risk-motivated channel selection based on deference structure. Cognitive radio networks form deference structure community to have more efficient access to a channel of interest and can defer transmission to one another on that channel, thereby minimizing the chances of conflicts. As part of the decision making process to become a member of a deference structure community, cognitive radio networks rely on a risk-motivated channel selection scheme to evaluate the tentative deference structure channel. We provide numerical and simulation results that demonstrates the benefits of the proposed self-coexistence mechanism and show how it helps networks to coordinate their spectrum activities, minimize contention experienced and improve their utility. We also emphasize on the importance of the deference structure community size with regards to the average performance of member networks.

Arbitrary High-Order Fully-Decoupled Numerical Schemes for Phase-Field Models of Two-Phase Incompressible Flows

Due to the coupling between the hydrodynamic equation and the phase-field equation in two-phase incompressible flows,it is desirable to develop efficient and high-order accurate numerical schemes that can decouple these two equations.One popular and efficient strategy is to add an explicit stabilizing term to the convective velocity in the phase-field equation to decouple them.The resulting schemes are only first-order accurate in time,and it seems extremely difficult to generalize the idea of stabilization to the second-order or higher version.In this paper,we employ the spectral deferred correction method to improve the temporal accuracy,based on the first-order decoupled and energy-stable scheme constructed by the stabilization idea.The novelty lies in how the decoupling and linear implicit properties are maintained to improve the efficiency.Within the framework of the spatially discretized local discontinuous Galerkin method,the resulting numerical schemes are fully decoupled,efficient,and high-order accurate in both time and space.Numerical experiments are performed to validate the high-order accuracy and efficiency of the methods for solving phase-field models of two-phase incompressible flows.

High-Order Decoupled and Bound Preserving Local Discontinuous Galerkin Methods for a Class of Chemotaxis Models

In this paper,we explore bound preserving and high-order accurate local discontinuous Galerkin(LDG)schemes to solve a class of chemotaxis models,including the classical Keller-Segel(KS)model and two other density-dependent problems.We use the convex splitting method,the variant energy quadratization method,and the scalar auxiliary variable method coupled with the LDG method to construct first-order temporal accurate schemes based on the gradient flow structure of the models.These semi-implicit schemes are decoupled,energy stable,and can be extended to high accuracy schemes using the semi-implicit spectral deferred correction method.Many bound preserving DG discretizations are only worked on explicit time integration methods and are difficult to get high-order accuracy.To overcome these difficulties,we use the Lagrange multipliers to enforce the implicit or semi-implicit LDG schemes to satisfy the bound constraints at each time step.This bound preserving limiter results in the Karush-Kuhn-Tucker condition,which can be solved by an efficient active set semi-smooth Newton method.Various numerical experiments illustrate the high-order accuracy and the effect of bound preserving.

Anti-Disturbance Control for Tethered Aircraft System With Deferred Output Constraints

In this paper,we investigate the peaking issue of extended state observers and the anti-disturbance control problem of tethered aircraft systems subject to the unstable flight of the main aircraft,airflow disturbances and deferred output constraints.Independent of exact initial values,a modified extended state observer is constructed from a shifting function such that not only the peaking issue inherently in the observer is circumvented completely but also the accurate estimation of the lumped disturbance is guaranteed.Meanwhile,to deal with deferred output constraints,an improved output constrained controller is employed by integrating the shifting function into the barrier Lyapunov function.Then,by combining the modified observer and the improved controller,an anti-disturbance control scheme is presented,which ensures that the outputs with any bounded initial conditions satisfy the constraints after a pre-specified finite time,and the tethered aircraft tracks the desired trajectory accurately.Finally,both a theoretical proof and simulation results verify the effectiveness of the proposed control scheme.

Crop Water Requirements in Egypt Using Remote Sensing Techniques

The common Soil in Egypt is clay soil so common irrigation system is tradition surface irrigation with 60% irrigation efficiency. Agricultural sector consumes more than 80% of water resources under surface irrigation (tradition methods). In arid and semi-arid regions consumptive use is the best index for irrigation requirements. A large part of the irrigation water applied to farm land is consumed by Evapotranspiration (ET). Irrigation water consumption under each of the physical and climatic conditions for large scale will be easier with remote sensing techniques. In Egypt, Agricultural cycle is often tow agricultural seasons yearly;summer and winter. Common summer crops are Maize, Rice and Cotton while common winter crops are Clover and Wheat. Landsat8 bands 4 and 5 provide Red (R) and Near Infra-Red (NIR) measurements and it used to calculate Normalized Deference Vegetation Index (NDVI) and monitoring cultivated areas. The cultivated land area was 3,277,311 ha in August 2013. In this paper Kc = 2 * NDVI ? 0.2 represents the relation between crop coefficient (Kc) and NDVI. Kc and Reference evapotranspiration (ETo) used to estimate ETc in Egypt. The main objective of this paper is studying the potential crop Evapotranspiration in Egypt using remote sensing techniques.

加速HTML/DHTML运行方法的研究

随着Internet应用的迅速发展和普及,现在越来越多的人开始学习网页设计,但很多设计者,特别是初学者,由于缺少网页技巧的应用,会使得网页比较单调、枯燥无味。该文介绍了十个加快HTML/DHTML运行速度的技巧,利于初学者方便、快捷的掌握,从而提高网页设计的质量。

Bacteriocin-like inhibitory substance (BLIS) activity of Streptococcus macedonicus MBF10-2 and its synergistic action in combination with antibiotics

Objective: To characterize the bacteriocin-like inhibitory-substances(BLIS) activity of Streptococcus macedonicus MBF10-2 [named BLIS(MBF10-2)], a bacteriocinogenic strain isolated from an Indonesian tofu byproduct.Methods: BLIS(MBF10-2) was obtained by culturing the bacterium, and standard deferred antagonism assays were used to demonstrate its activity. The antibacterial testing of fractions collected by filtration using 3–30 kDa cut-off membrane sizes were carried out by performing well diffusion method.Results: The growth of Micrococcus luteus, Streptococcus pyogenes, Lactococcus lactis,Leuconostoc mesenteroides and Weissella confusa were inhibited by BLIS(MBF10-2).Interestingly, BLIS-containing fractions obtained from sequential application on ultrafiltration membranes indicated that this bacterium Streptococcus macedonicus MBF10-2 could produces at least two antimicrobial peptides activities, one of which is likely to be a lantibiotic peptide. Potential synergistic activity against certain Gram-positive(but not Gram-negative) species when partnered with antibiotics(ampicillin, tetracycline or kanamycin) were observed.Conclusion: Combination of some BLIS(MBF10-2) active fractions with antibiotics(ampicillin, tetracycline or kanamycin) could demonstrate synergistic activities against certain Gram-positive species.

Business Combinations, Goodwill and Deferred Taxes： Evidences Emerging From a Comparative Analysis Between Italy and Bulgaria

The starting point for the research was the evidence of a possible contradiction in the provisions of IAS 12 on goodwill and deferred income taxes, i.e., about the need to calculate deferred income taxation on temporary differences relating to all assets except for goodwill. This paper aims at exploring the degree of consistency between the theoretical provisions of International Accounting Standards （IAS）/International Financial Reporting Standards （IFRS） and their actual application by the management of Italian and Bulgarian listed companies, as regards the accounting treatments of deferred income taxes relating to the item ＂goodwill＂. The findings suggest that there are some differences between the accounting methods used by the management of most Italian listed companies and the provisions of IAS/IFRS. It can be argued that the rules given by IAS/IFRS are sometimes contradictory, since they may cause doubts in interpretation. As a consequence, in the end of the paper, an amendment to the provisions, set forth in IAS/IFRS concerning the accounting treatment of deferred income taxes relating to the item ＂goodwill＂, is proposed.

Dynamic evaluation of traffic flows on city roads

This paper presents an analysis of the random fluctuations, deferred conduction effect and periodicity of road traffic based on the basic features of road networks. It also discusses the limitations of road network evaluation theories based on road "V/C". In addition, it proposes a set of theoretical and technical methods for the real-time evaluation of traffic flows for entire road networks, and for solving key technical issues, such as real-time data collection and processing in areas with no blind zones, the spatial-temporal dynamic analysis of road network traffic, and the calibration of key performance index thresholds. It also provides new technical tools for the strategic transportation planning and real-time diagnosis of road traffic. The new tools and methodology presented in this paper are validated using a case study in Beijing.

Short-Term Financing of Economic Order Quantity （EOQ） Inventory Model With Probabilistic Quality

In this paper, the classical economic order quantity （EOQ） inventory model assumption that all items of a certain product received from a supplier are of perfect quality is relaxed. Another basic assumption that the payment for the items is made at the beginning of the inventory cycle when they are received is also eased. We consider an inventory situation where items received from the supplier are of two types of quality, perfect and imperfect, and a short deferral in payment is allowed. The split between perfect and imperfect quality items is assumed to follow a known probability distribution. Both qualities of items have continuous demands, and items of imperfect quality are sold at a discount. A mathematical model is developed using the net present value of all cash flows involved in the inventory cycle. A numerical method for obtaining the optimal order quantity is presented, and the impact of the short-term financing is analyzed. An example is presented to validate the equations and illustrate the results.

Treatment of the Income Tax in Enterprises Merger

Many merger and reorganization is enterprises merger, because merger perplexing, the treatment of income tax accounting exists a variety of complex problems, the merging party obtains the net wealth of the combined party, some include the deferred income tax liabilities and deferred tax assets, there are not included. The merging party merger resulting combined balance in the merging process may affect the current income tax and deferred income tax, but also may not have any effect. This paper goes through the application case on enterprises merger＇ merging party or purchase party tax treatment to carry on analysis, which provides the major reference for accounting theory and accounting practice circles.

A Gas Dynamics Method Based on the Spectral Deferred Corrections (SDC) Time Integration Technique and the Piecewise Parabolic Method (PPM)

We present a computational gas dynamics method based on the Spectral Deferred Corrections (SDC) time integration technique and the Piecewise Parabolic Method (PPM) finite volume method. The PPM framework is used to define edge-averaged quantities, which are then used to evaluate numerical flux functions. The SDC technique is used to integrate solution in time. This kind of approach was first taken by Anita et al in [1]. However, [1] is problematic when it is implemented to certain shock problems. Here we propose significant improvements to [1]. The method is fourth order (both in space and time) for smooth flows, and provides highly resolved discontinuous solutions. We tested the method by solving variety of problems. Results indicate that the fourth order of accuracy in both space and time has been achieved when the flow is smooth. Results also demonstrate the shock capturing ability of the method.

Thinking about tax deferred endowment insurance in China

With the growing eldes, our country has entered an aging population society. Social endowment insurance has not meet the demand of people, more and more people are turning to commercial endowment insurance field for help. As a new form of commercial endowment insurance, personal tax deferred model of commercial endowment insurance has huge development space in our country. This paper analyzes the necessity of implementing tax deferred endowment insurance and explores the feasibility and obstacle of individual tax deferred endowment from the point of the government policy, financial income and economic development .At the same time,this paper hold the view that though the personal tax deferred model of commercial endowment insurance may has some bottlenecks in the process of implementing, there are considerable development prospects.

Globalized Metropolises?An Issue of History and Memories…

Through specific examples of five different metropolises in globalization,New York,Paris,Rome,Prague and Bordeaux,the sources of prosperity and urbanity are not the same when urban history prevails in our memories or when our memories claim to write its history.Yet everything can be lived differently when both are brought together and when they write their space-time together.

An efficient spatial anti-aliasing method for deferred shading

In recent years, image-based anti-aliasing techniques have been widely investigated in real-time computer graphics. Compared to traditional routine of anti-aliasing, image-based methods, which combined with deferred shading, can efficiently decouple anti-aliasing step from standard graphics pipeline. However, most of the existing image-based methods consume video memory, bandwidth and computation resources heavily. In this paper, we propose an optimized anti-aliasing method, which can efficiently reduce the multi-sampling rate by a multi-sampling mask. We carefully designed the rendering system to avoid serial execution on branch divergence, by utilizing both modern GPU’s features and latest shader model. Experimental results demonstrate that our method can achieve high-quality synthesized image with real-time performance.

Should Degrees Be Deferred for Deals?

A new policy allowing university students to suspend studies and pursue their entrepreneurial dream has provoked heated public debate in China. In December 2014, the Ministry of Education required universities and colleges to offer a more flexible course for students who want to launch their own startups. Schools were also asked to add entrepreneurship courses and invite entrepreneurs, investors and experts to share their knowledge and provide professiona guidance to students. The ministry pledged assistance for students who temporarily drop out to foray into business adventure.

Event-triggered adaptive tracking control of a class of nonlinear systems with asymmetric time-varying output constraints

This article investigates the event-triggered adaptive neural network(NN)tracking control problem with deferred asymmetric time-varying(DATV)output constraints.To deal with the DATV output constraints,an asymmetric time-varying barrier Lyapunov function(ATBLF)is first built to make the stability analysis and the controller construction simpler.Second,an event-triggered adaptive NN tracking controller is constructed by incorporating an error-shifting function,which ensures that the tracking error converges to an arbitrarily small neighborhood of the origin within a predetermined settling time,consequently optimizing the utilization of network resources.It is theoretically proven that all signals in the closed-loop system are semi-globally uniformly ultimately bounded(SGUUB),while the initial value is outside the constraint boundary.Finally,a single-link robotic arm(SLRA)application example is employed to verify the viability of the acquired control algorithm.

SEMI-IMPLICIT SPECTRAL DEFERRED CORRECTION METHODS BASED ON SECOND-ORDER TIME INTEGRATION SCHEMES FOR NONLINEAR PDES

In[20],a semi-implicit spectral deferred correction(SDC)method was proposed,which is efficient for highly nonlinear partial differential equations(PDEs).The semi-implicit SDC method in[20]is based on first-order time integration methods,which are corrected iteratively,with the order of accuracy increased by one for each additional iteration.In this paper,we will develop a class of semi-implicit SDC methods,which are based on second-order time integration methods and the order of accuracy are increased by two for each additional iteration.For spatial discretization,we employ the local discontinuous Galerkin(LDG)method to arrive at fully-discrete schemes,which are high-order accurate in both space and time.Numerical experiments are presented to demonstrate the accuracy,efficiency and robustness of the proposed semi-implicit SDC methods for solving complex nonlinear PDEs.

A New Efcient Explicit Deferred Correction Framework:Analysis and Applications to Hyperbolic PDEs and Adaptivity

The deferred correction(DeC)is an iterative procedure,characterized by increasing the accuracy at each iteration,which can be used to design numerical methods for systems of ODEs.The main advantage of such framework is the automatic way of getting arbitrarily high order methods,which can be put in the Runge-Kutta(RK)form.The drawback is the larger computational cost with respect to the most used RK methods.To reduce such cost,in an explicit setting,we propose an efcient modifcation:we introduce interpolation processes between the DeC iterations,decreasing the computational cost associated to the low order ones.We provide the Butcher tableaux of the new modifed methods and we study their stability,showing that in some cases the computational advantage does not afect the stability.The fexibility of the novel modifcation allows nontrivial applications to PDEs and construction of adaptive methods.The good performances of the introduced methods are broadly tested on several benchmarks both in ODE and PDE contexts.