21 research outputs found
STANDARD CONSTITUTIONAL CATALOG OF PRINCIPLES OF JUDICIAL AUTHORITY IN THE CIS COUNTRIES
Purpose of Study: The present paper presents the results of a comparative legal analysis of constitutions of the CIS-member states in order to identify a standard catalog of judicial power principles in them, considering their interpretation as a set of fundamental principles determining the institutional and procedural aspects of judicial power. There is a lack of unity in the institutional and procedural aspects of the considered fundamental ideas together with a unified approach to the formation of a principles catalog for the judiciary in the focus group of constitutions.
Methodology: The present study was based on a rational approach to the disclosure of legal phenomena and processes, using general (system, logical, analysis and synthesis) scientific and private scientific methods. Among the latter are the formal legal, linguistic legal, comparative legal, collectively used to identify the judiciary principles.
Results: The identified standard list of constitutional principles of the judiciary in the CIS countries is presented. It includes the justice administration only by the court, organization legality and judiciary activities, prohibition of creation of emergency courts, independence, interaction, inadmissibility of interference with judiciary implementation, openness, competitiveness and equality of the parties, the state language of legal proceedings, cooperation and unity of procedure, court decisions, and state funding of courts
Implications/Applications: The comparative legal analysis, with a unified approach to the formation of the list of principles of the judiciary in the focus group of Constitutions, the lack of unity in institutional and procedural aspects of the fundamental ideas can be still stated. We believe that this discrepancy mediates the integration of the considered principles in the judiciary’s framework
Risks to the Human Rights Advocacy in African Constitutions
This article presents the results of a comparative legal study of the texts of the constitutions of African states with a view to identifying the rules that minimize human rights risks. The research is based on a dialectical approach to the disclosure of legal phenomena and processes using general scientific (systematic and logical methods, analysis and synthesis) and specific scientific methods. African constitutions, in comparison with the constitutions of other states, and in particular European ones, contain a disproportionately large number of rules formalizing special human rights institutions. Typically, these are special councils, human rights commissions (Egypt, Morocco, and Tunisia) or certain categories of the population (three in Egypt, three in Morocco, one in the Central African Republic). In Morocco and Equatorial Guinea, both the Mediator and the Public Defender are established, respectively. The relevance of the study is due to the strategic objectives of creating a secure human rights status of the state, as well as the need to find and update theoretical, methodological, and practical approaches to protecting the rights and freedoms of a human and a citizen. Considering the rules of the African constitutional model of minimizing risks to human right advocacy, objectively in terms of quantity and quality, are considered hyperbolic
Simulation of Spatial Spread of the COVID-19 Pandemic on the Basis of the Kinetic-Advection Model
A new two-parameter kinetic equation model is proposed to describe the spatial spread of the virus in the current pandemic COVID-19. The migration of infection carriers from certain foci inherent in some countries is considered. The one-dimensional model is applied to three countries: Russia, Italy, and Chile. Both their geographical location and their particular shape stretching in the direction from the centers of infection (Moscow, Lombardy, and Santiago, respectively) make it possible to use such an approximation. The dynamic density of the infected is studied. Two parameters of the model are derived from known data. The first is the value of the average spreading rate associated with the transfer of infected persons in transport vehicles. The second is the frequency of the decrease in numbers of the infected as they move around the country, associated with the arrival of passengers at their destination. An analytical solution is obtained. Simple numerical methods are also used to perform a series of calculations. Calculations us to make some predictions, for example, about the time of recovery in Russia, if the beginning of recovery in Moscow is known
ZOLA-3D allows flexible 3D localization microscopy over an adjustable axial range
International audienceSingle molecule localization microscopy can generate 3D super-resolution images without scanning by leveraging the axial variations of normal or engineered point spread functions (PSF). Successful implementation of these approaches for extended axial ranges remains, however, challenging. We present Zernike Optimized Localization Approach in 3D (ZOLA-3D), an easy-to-use computational and optical solution that achieves optimal resolution over a tunable axial range. We use ZOLA-3D to demonstrate 3D super-resolution imaging of mitochondria, nuclear pores and microtubules in entire nuclei or cells up to ~5 ÎĽm deep
Laser-ablative engineering of phase singularities in plasmonic metamaterial arrays for biosensing applications
International audienceBy using methods of laser-induced transfer combined with nanoparticle lithography, we design and fabricate large-area gold nanoparticle-based metamaterial arrays exhibiting extreme Heaviside-like phase jumps in reflected light due to a strong diffractive coupling of localized plasmons. When employed in sensing schemes, these phase singularities provide the sensitivity of 5 x 10(4) deg. of phase shift per refractive index unit change that is comparable with best values reported for plasmonic biosensors. The implementation of sensor platforms on the basis of such metamaterial arrays promises a drastic improvement of sensitivity and cost efficiency of plasmonic biosensing devices. (C) 2014 AIP Publishing LLC
Particle-free inkjet printing of nanostructured porous indium tin oxide thin films
International audienceWe report a simple, low-cost, single-step inkjet printing method for the fabrication of nanostructured, highly transparent and conductive ITO films, which completely avoids the use of ITO particles in the fabrication process. In our method, the inks are formed from a liquid solution presenting a properly selected mixture of indium and tin acetates. After jet printing, the ink is decomposed during a subsequent annealing step, in which the released CO2 gas bubbles control the ITO nucleation process to provide a porous film texture. We show that the fabricated ITO films are highly crystalline, stoichiometric, and nanoporous with controlled porosity. Electrical measurements show relatively low resistivity values for the films (down to 0.029 Omega cm) comparable to those of the best ITO thin films fabricated by other methods. Optical ellipsometry tests demonstrate a relatively high refractive index (1.5-1.7) and high transparency of the films over a wide region of the spectrum ranging from 500 to 1700 nm. Since the method does not require any pre-fabricated ITO particles, masks or templates, and enables the deposition of films on substrates of various materials and shapes, it can be employed for fabrication of nanoporous ITO films for a diversity of applications, including solar cell, bio- and chemical sensing, etc
Estimation of the lifetime distribution from fluctuations in Bellman-Harris processes
The growth of a population is often modeled as branching process where each individual at the end of its life is replaced by a certain number of offspring. An example of these branching models is the Bellman-Harris process, where the lifetime of individuals is assumed to be independent and identically distributed. Here, we are interested in the estimation of the parameters of the Bellman-Harris model, motivated by the estimation of cell division time. Lifetimes are distributed according a Gamma distribution and we follow a population that starts from a small number of individuals by performing time-resolved measurements of the population size. The exponential growth of the population size at the beginning offers an easy estimation of the mean of the lifetime. Going farther and describing lifetime variability is a challenging task however, due to the complexity of the fluctuations of non-Markovian branching processes. Using fine and recent results on these fluctuations, we describe two time-asymptotic regimes and explain how to estimate the parameters. Then, we both consider simulations and biological data to validate and discuss our method. The results described here provide a method to determine single-cell parameters from time-resolved measurements of populations without the need to track each individual or to know the details of the initial condition
Griottes: a generalist tool for network generation from segmented tissue images
International audienceBackgroundMicroscopy techniques and image segmentation algorithms have improved dramatically this decade, leading to an ever increasing amount of biological images and a greater reliance on imaging to investigate biological questions. This has created a need for methods to extract the relevant information on the behaviors of cells and their interactions, while reducing the amount of computing power required to organize this information.ResultsThis task can be performed by using a network representation in which the cells and their properties are encoded in the nodes, while the neighborhood interactions are encoded by the links. Here, we introduce Griottes, an open-source tool to build the “network twin” of 2D and 3D tissues from segmented microscopy images. We show how the library can provide a wide range of biologically relevant metrics on individual cells and their neighborhoods, with the objective of providing multi-scale biological insights. The library’s capacities are demonstrated on different image and data types.ConclusionsThis library is provided as an open-source tool that can be integrated into common image analysis workflows to increase their capacities