Compensation for non-material damage for mental anguish suffered as a result of unlawful deprivation of liberty and wrongful conviction represents one of the forms of compensation for non-material damage. The Constitution of the Republic of Serbia directly guarantees the fundamental rights and freedoms of every person. Violation of an individual’s psychophysical integrity is prohibited. Everyone has the right to personal liberty and security (Article 27(1) of the Constitution of the Republic of Serbia). Deprivation of liberty is permitted only on grounds and in a procedure prescribed by law. In the event of unlawful deprivation of liberty or wrongful conviction, the injured party’s freedom and dignity—and consequently their reputation in society—are jeopardized. Although the presumption of innocence applies, the proceedings themselves constitute a source of discomfort and stress for the person against whom they are conducted. Such a person suffers mental anguish as a result of unlawful deprivation of liberty and wrongful conviction. In view of the foregoing, the aim of this paper is, on the basis of statutory regulation and relevant judicial decisions, to present general legal solutions in a more concise and systematic manner, as well as to outline the procedure for exercising the right to this type of compensation for non-material damage. The paper also seeks to clarify the subjective and objective circumstances that courts assess when determining the amount of compensation and the merits of the injured party’s claim for nonmaterial damage, and to point to inconsistent judicial practice that should be harmonized.
INTRODUCTION. This article presents an analysis of the Eurasian Economic Union (EAEU) Court's advisory opinion of April 7, 2025, clarifying the provisions of the EAEU Treaty regarding the common services market. In considering the case, the Union Court was required to address questions related to the application of freedom of services provisions to air transportation services within the Union. The main issue addressed before the Court was to what extent the cross-border air transportation within the EAEU is governed by international air law and by EAEU law. Given three dissenting opinions, consensus on this issue was not reached. Nevertheless, the Grand Collegium formulated a legal position according to which freedom of services provisions apply to air transportation services to the extent that they do not conflict with common transport policy. Accordingly, member states cannot impose additional restrictions, and the Eurasian Economic Commission has jurisdiction in this area.MATERIALS AND METHODS. The methodological basis of the study was formed by traditional general scientific and specialized methods of understanding legal phenomena: the comparative legal method; the method of scientific analysis; the formal legal method; and the method of synthesizing socio-legal phenomena.RESEARCH RESULTS. As a result of the study, the author concluded that international air transportation within the EAEU is regulated by a complex set of legal norms, including international air law, the national laws of member states, and the EAEU's law regarding the free movement of services and coordinated transport policy.DISCUSSION AND CONCLUSIONS. Current international air law, including the 1944 Chicago Convention, does not impose any restrictions on the extension of provisions on free trade in services to commercial air transportation. In fact, two parallel systems can be identified regarding the regulation of international air transportation: the first is based on the Chicago Convention; the other is an economic system based on bilateral agreements or a regional system. EAEU law provides for the creation of a common air transportation market, but it has not yet been formed. At the same time, member states must not introduce new restrictions on trade in transport services that did not exist at the time of the conclusion of the EAEU treaty. EAEU legal norms regarding trade of services and coordinated (harmonized) transport policy and international air law do not compete, but, together with national law, form a complementary legal system in the field of air transportation.
Law of nations, Comparative law. International uniform law
The integration of Large Language Models (LLMs) with retrieval systems has shown promising potential in retrieving documents (docs) or advertisements (ads) for a given query. Existing LLM-based retrieval methods generate numeric or content-based DocIDs to retrieve docs/ads. However, the one-to-few mapping between numeric IDs and docs, along with the time-consuming content extraction, leads to semantic inefficiency and limits scalability in large-scale corpora. In this paper, we propose the Real-time Ad REtrieval (RARE) framework, which leverages LLM-generated text called Commercial Intentions (CIs) as an intermediate semantic representation to directly retrieve ads for queries in real-time. These CIs are generated by a customized LLM injected with commercial knowledge, enhancing its domain relevance. Each CI corresponds to multiple ads, yielding a lightweight and scalable set of CIs. RARE has been implemented in a real-world online system, handling daily search volumes in the hundreds of millions. The online implementation has yielded significant benefits: a 5.04% increase in consumption, a 6.37% rise in Gross Merchandise Volume (GMV), a 1.28% enhancement in click-through rate (CTR) and a 5.29% increase in shallow conversions. Extensive offline experiments show RARE's superiority over ten competitive baselines in four major categories.
We show that the $p$-part of the degree of an irreducible character of a symmetric group is completely determined by the set of vanishing elements of $p$-power order. As a corollary we deduce that the set of zeros of prime power order controls the degree of such a character. The same problem is analysed for alternating groups, where we show that when $p=2$ this data can only be determined up to two possibilities. We prove analogous statements for the defect of the $p$-block containing the character and for the $p$-height of the character.
Let $p$ be any prime. We determine precisely those irreducible characters of symmetric groups which contain at most $p$ distinct linear constituents in their restriction to a Sylow $p$-subgroup, answering a question of Giannelli and Navarro. Moreover, we identify all of the linear constituents of such characters, and in the case $p = 2$ explicitly calculate a new class of Sylow branching coefficients for symmetric groups indexed by so-called almost hook partitions.
The European Court of Justice's 2023 ruling in the Mercedes case has upheld an individual compensation claim even without explicit legislative provisions for such compensation. This landmark decision has reignited the longstanding debate in Europe regarding the interplay between public policy regulation and national private law. This paper analyses the case, delves into the historical and political debates underpinning it, and explores its implications for positive law. It offers three key contributions to the ongoing discourse: First, the ECJ's ruling establishes a new pathway for individual claims based on breaches of European law, prompting Member States to implement appropriate remedial measures. Second, the decision elevates a nearly century-old debate on balancing public interest regulation and individual protection to new heights. Third, the ruling has already begun to shape the European and German legal landscapes, provoking similar discussions in Turkish law, particularly in unfair competition law.
Law in general. Comparative and uniform law. Jurisprudence
Farouq Ahmad Faleh Alazzam, Bassam Mustafa Abdel-Rahman Tubishat, Oksana Storozhuk
et al.
The main purpose of the article is the formation of new strategies in business management with changes in commercial activities. The object of the study is the system of commercial activity and possible changes in it. The scientific task is the definition of a new methodological approach to the formation of new strategies in business management with changes in commercial activity. The research methodology involves the use of a modern method for modeling strategies in business management with changes in business activities. As a result, we presented a methodical approach to the formation of business management strategies in the face of changes in commercial activities. The author’s vision of how the stages of forming the main business management strategy through block-object-oriented modeling should look graphically and schematically was presented. Each of its blocks involves many processions and actions aimed at changes in commercial activity. The innovative novelty of our study lies in the presented methodological approach to the formation of a business management strategy within the framework of changes in commercial activity.
Infrared spectroscopy currently requires the use of bulky, expensive, and/or fragile spectrometers. For gas sensing, environmental monitoring, or other applications in the field, an inexpensive, compact, robust on-chip spectrometer is needed. One way to achieve this goal is through gradient permittivity materials, in which the material permittivity changes as a function of position in the plane. In this paper, we demonstrate the synthesis of infrared gradient permittivity materials using shadow mask molecular beam epitaxy. The permittivity of our material changes as a function of position in the lateral direction, allowing us to confine varying wavelengths of infrared light at varying horizontal locations. We see an electric field enhancement corresponding to a wavenumber gradient of ~650 cm$^{-1}$ to 900 cm$^{-1}$ over an in-plane gradient width of ~13 $μ$ m on the flat mesa of our sample. In addition, we see a wavenumber gradient of ~900 cm$^{-1}$ to 1250 cm$^{-1}$ over an in-plane gradient width of ~13 $μ$m on the slope of our sample. These two different wavenumber gradient regions develop on two opposite sides of our material. This demonstration of a scalable method of creating an in-plane gradient permittivity material could be leveraged for the creation of a variety of miniature infrared devices, such as an ultracompact spectrometer.
Edwin Kipchirchir, Jonathan Liebeton, Dirk Söffker
Dynamic fluctuations in the wind field to which a wind turbine (WT) is exposed to are responsible for fatigue loads on its components. To reduce structural loads in WTs, advanced control schemes have been proposed. In recent years, prognosis-based lifetime control of WTs has become increasingly important. In this approach, the prognostic controller gains are adapted based on the stateof-health (SOH) of the WT component to achieve the desired lifetime. However, stochastic wind dynamics complicates estimation of the SOH of a WT. More recently, robust controllers have been combined with real-time damage evaluation models to meet prognosis objectives. Most rely on model-based online load cycle counting algorithms to determine fatigue damage, with analytical models providing the degradation estimate. However, most use load measurements that are either unreliable or unavailable in commercial WTs, limiting their practicality. In this contribution, a hybrid prognosis scheme combining data-driven load prediction and model-based damage estimation models for robust lifetime control of commercial WTs is proposed. A data-driven support vector machine (SVM) regression model is trained using loading data obtained from dynamic simulations using a μ-synthesis robust disturbance accommodating controller (RDAC). The regression model uses available WT measurements to predict tower load. Based on this prediction, an online rain-flow counting (RFC) damage evaluation model estimates the damage level and lifetime of the tower. The RDAC controller gains are dynamically adapted to achieve a predefined damage limit and lifetime. The proposed approach is evaluated on a 5 MW reference WT and its performance is compared with a model-based prognosis scheme using ideal WT tower measurement. Results demonstrate the efficacy of the proposed approach to control the fatigue lifetime in WT components.
We explore simple methods for adapting a trained multi-task UNet which predicts canopy cover and height to a new geographic setting using remotely sensed data without the need of training a domain-adaptive classifier and extensive fine-tuning. Extending previous research, we followed a selective alignment process to identify similar images in the two geographical domains and then tested an array of data-based unsupervised domain adaptation approaches in a zero-shot setting as well as with a small amount of fine-tuning. We find that the selective aligned data-based image matching methods produce promising results in a zero-shot setting, and even more so with a small amount of fine-tuning. These methods outperform both an untransformed baseline and a popular data-based image-to-image translation model. The best performing methods were pixel distribution adaptation and fourier domain adaptation on the canopy cover and height tasks respectively.
Frederick Law, Antoine Cerfon, Benjamin Peherstorfer
et al.
This work introduces meta estimators that combine multiple multifidelity techniques based on control variates, importance sampling, and information reuse to yield a quasi-multiplicative amount of variance reduction. The proposed meta estimators are particularly efficient within outer-loop applications when the input distribution of the uncertainties changes during the outer loop, which is often the case in reliability-based design and shape optimization. We derive asymptotic bounds of the variance reduction of the meta estimators in the limit of convergence of the outer-loop results. We demonstrate the meta estimators, using data-driven surrogate models and biasing densities, on a design problem under uncertainty motivated by magnetic confinement fusion, namely the optimization of stellarator coil designs to maximize the estimated confinement of energetic particles. The meta estimators outperform all of their constituent variance reduction techniques alone, ultimately yielding two orders of magnitude speedup compared to standard Monte Carlo estimation at the same computational budget.
The Facial Recognition Technology (FRT) is used to match a photo of a person's face through a database that contains picture, name, and other records of someone that are already in the database. This technology uses biometric data with other available information and provides precise and accurate information about a person and his behaviour. FRT has positioned itself significantly advanced among all biometric-based technologies. The use of FRT by government agencies and commercial organisation comes under scrutiny as many of them use the technology in violation of right to privacy where the data subjects are either not informed of data collection or not consented for the data collection, use or storage of their data. Privation of regulatory measures allows government agencies and commercial organisations to operate with no real legal restraint and only under limited self-regulation in many common law countries. The research focuses on suitability of the existing law to regulate the use of FRT by analysing the criminal law and the civil law including the privacy laws in few common law countries. The analysis of the laws shows that passing of appropriate laws is inevitable as the existing laws are inadequate to regulate the use of FRT by government and commercial organisations.
The country's central property rests on the institutional and organizational strength of the major price chaos market and the banking sector. Georgian banking system is currently developed not only in the country, but in all regions, the Georgian securities market and the only licensed representative of this market in the country - the Georgian Stock Exchange is undeveloped and unique. The securities market is a kind of economic barometer of the country, a measure of the pulse, which is primarily reflected in the ongoing political, economic and social changes in the country and in the world.
The securities market provides fast mobilization of temporarily free cash without bureaucratic intermediaries (in this case banks) and with minimal additional fees compared to bank credit, respectively the banking system and the stock market are competitors.
In 1998-2000, with the help of the best government and financial market experts in Georgia, the foundations of the securities market began to form. During this period, everyone was well aware that these two most important financial institutions should be developed together on an equal footing, under conditions of fair competition, and tried not to allow one sphere to be absorbed or oppressed by another. For some reason, the new post-Soviet Georgia had better starting conditions in the banking sector, as enshrined in the 1998 Law on the Securities Market adopted by the Georgian Parliament. By law, the securities industry was separated from the banking sector in order for securities to be newly established mechanisms to enable independent real development opportunities.
JSC "Georgian Stock Exchange" (JSC) was established on January 12, 1999 at the initiative of leading brokerage companies, commercial banks, insurance companies and investment funds. Special activity on the Georgian Stock Exchange began in 2004, when after the change of government, the legislation related to privatization was changed and the economic recovery began, corruption was significantly reduced, the financial market was opened, investments were increased.
The reduction of trading volume on the Georgian Stock Exchange was caused by the financial crisis of 2008 and a change in the legislation, which resulted in the abolition of the self-regulatory system of the stock exchange and its controlling body became the National Bank of Georgia. Since 2007, the stock exchange has been managed by a group of banks that currently own 58% of the stock exchange shares, of which the Bank of Georgia has the largest package with 46%.
As of March 1, 2022, the balance of deposits of legal entities and individuals attracted by commercial banks in national currency is 15.06 billion GEL, weighted by an average of 11.06%, and the volume of deposits of legal entities and individuals attracted in foreign currency - equivalent to 22.03 billion GEL. , On average by 0.81%. (SEB, 2022) In total, 37.1 billion GEL of free cash is deposited in Georgian banks, and if at least a quarter of it returns to the Georgian Stock Exchange, it is easy to imagine the level of economic growth and the size of the national economy.
As of May 6, 2022, about 2.31 billion GEL has been accumulated in the pension fund, 60% of the objects are placed on certificates of deposit, 1.3% - on time deposits, 5.8% - on foreign corporate shares (133.98 million 56 l),% - interest Accounts in foreign currency, and 24.69% - on interest accounts (Pension Agency, 2022). In other words, the funds kept by the citizens of Georgia in the pension fund either go to the banking system and only then take part in the short-term activity, ie by buying their securities for about 134 million GEL with the growth of the foreign economy. The development of the Georgian stock market would have facilitated the growing funds of the pension fund, invested more profitably with bank deposits, and the national economy growing faster, with more commission and interest rate pressures than bank credit.
As of April 30, 2022, the capitalization of the stock market on the Georgian Stock Exchange amounted to about 2.29 billion GEL, which is only 3.8% of the GDP of Georgia in 2021 (60.2 billion GEL), while this figure has developed stock markets. Countries have more than 100% of GDP. According to the years, the ratio of capitalization of the Georgian stock market to GDP in the same year is declining and was 4.8% in 2020 (due to the pandemic, GDP decreased this year, the capitalization of companies remained largely unchanged), in 2019 - 3.97%; In 2018 - 4.39%; In 2017 - 8.16%. As of May 2, 2022, securities of 23 companies with a total market capitalization of USD 0.748 billion and an average daily turnover of 21 GEL in April 2022 were admitted to the trading system of the CBS.
On March 24-30, 2022, we conducted a survey on how people manage their savings through the platform google forms, in which 629 people participated. The results of the survey showed that the culture of accumulation in the population is quite high and they would like to buy securities on the Georgian Stock Exchange.
In our opinion, the development of the securities market in Georgia will reduce the employment problem partly through self-employment, the economy will be developed thanks to direct financing of economic entities (and not by scheme = population = bank => enterprises) and increase the speed of cash circulation. The state has a big role to play in the process of establishing a securities market in developing economies. The securities market is a necessary and important element of the global economy, without which the normal functioning of a market economy is impossible. Relevant legislative changes and political will are needed to strengthen the Georgian stock market.
Stephanie Habel, Frauke Herbi, Dirk W. Lachenmeier
et al.
Cannabidiol (CBD)-containing products are widely marketed as over the counter products, mostly as food supplements. Adverse effects reported in anecdotal consumer reports or during clinical studies were first assumed to be due to hydrolytic conversion of CBD to psychotropic Δ9-tetrahydrocannabinol (Δ9-THC) in the stomach after oral consumption. However, research of pure CBD solutions stored in simulated gastric juice or subjected to various storage conditions such as heat and light with specific liquid chromatographic/tandem mass spectrometric (LC/MS/MS) and ultra-high pressure liquid chromatographic/quadrupole time-of-flight mass spectrometric (UPLC-QTOF) analyses was unable to confirm THC formation. Another hypothesis for the adverse effects of CBD products may be residual Δ9-THC concentrations in the products as contamination, because most of them are based on hemp extracts containing the full spectrum of cannabinoids besides CBD. Analyses of 293 food products of the German market (mostly CBD oils) confirmed this hypothesis: 28 products (10%) contained Δ9-THC above the lowest observed adverse effect level (2.5 mg/day). Hence, it may be assumed that the adverse effects of some commercial CBD products are based on a low-dose effect of Δ9-THC, with the safety of CBD itself currently being unclear with significant uncertainties regarding possible liver and reproductive toxicity. The safety, efficacy and purity of commercial CBD products is highly questionable, and all of the products in our sample collection showed various non-conformities to European food law such as unsafe Δ9-THC levels, hemp extracts or CBD isolates as non-approved novel food ingredients, non-approved health claims, and deficits in mandatory food labelling requirements. In view of the growing market for such lifestyle products, the effectiveness of the instrument of food business operators' own responsibility for product safety and regulatory compliance must obviously be challenged, and a strong regulatory framework for hemp products needs to be devised.
El modelo de gestores catastrales, adoptado por la Ley 1955 de 2019, impone nuevos desafíos a los municipios colombianos. Desde la perspectiva organizativa surge, entre otras, la opción de que los entes territoriales se asocien para lograr la acreditación como gestores catastrales. Desde el punto de vista económico nace la necesidad de proveerse de los recursos necesarios para asumir el costo de la actualización catastral, bien sea al constituirse como gestor catastral o contratar a uno acreditado. A partir del caso del municipio de Bolívar (Santander) son exploradas las diversas oportunidades y dificultades a las que se ve abocado un municipio pequeño para adelantar la actualización catastral y se realiza un estudio del eventual impacto, desde el referente del recaudo del impuesto predial unificado.
Zhengtianye Wang, Saadia Nasir, Yongchen Liu
et al.
Hyperbolic metamaterials (HMMs) are engineered materials with a hyperbolic isofrequency surface, enabling a range of novel phenomena and applications including negative refraction, enhanced sensing, and subdiffraction imaging, focusing, and waveguiding. Existing HMMs primarily work in the visible and infrared spectral range due to the inherent properties of their constituent materials. Here we demonstrate a THz-range Dirac HMM using topological insulators (TIs) as the building blocks. We find that the structure houses up to three high-wavevector volume plasmon polariton (VPP) modes, consistent with transfer matrix modeling. The VPPs have mode indices ranging from 126 to 531, 10-100x larger than observed for VPP modes in traditional media while maintaining comparable quality factors. We attribute these properties to the two-dimensional Dirac nature of the electrons occupying the topological insulator surface states. Because these are van der Waals materials, these structures can be grown at a wafer-scale on a variety of substrates, allowing them to be integrated with existing THz structures and enabling next-generation THz optical devices.
Abstract The commercial finite element (FE) code Abaqus is coupled with the deep neural network (DNN) model, namely Abaqus-DNN mechanics system, to learn the constitutive law of the fiber-reinforced composite. The proposed system enables data communication between Abaqus and DNN model, which leverages the versatile FE analysis ability of Abaqus and the powerful machine learning using DNN. Abaqus-DNN enables DNN to learn the constitutive law in a form-free manner. The learned result automatically satisfies the equilibrium and kinematics equations, which avoids inaccuracies associated with the presumed functions in the constitutive laws and guaranteed the learned constitutive law following the laws of physics. The Abaqus-DNN mechanics system was implemented to learn the full set of engineering constants of the constituents of a fiber-reinforced composite. Furthermore, the proposed system was applied to learn the progressive damage constitutive law of a fiber-reinforced composite laminate. The backward propagation equations of the neural network were modified to track the gradient of the loss function from Abaqus to DNN. The results show that Abaqus-DNN can accurately learn constitutive laws based on structural level data. This system provides a generalized approach for learning unknown physics inside a mechanics system by coupling neural network with commercial finite element codes.
Saadia Nasir, Zhengtianye Wang, Sivakumar V. Mambakkam
et al.
The surface states of the 3D topological insulator (TI), Bi$_2$Se$_3$, are known to host two-dimensional Dirac plasmon polaritons (DPPs) in the terahertz spectral range. In TI thin films, the DPPs excited on the top and bottom surfaces couple, leading to an acoustic and an optical plasmon mode. Vertical coupling in these materials is therefore reasonable well-understood, but in-plane coupling among localized TI DPPs has yet to be investigated. In this paper, we demonstrate in-plane DPP coupling in TI stripe arrays and show that they exhibit dipole-dipole type coupling. The coupling becomes negligible with the lattice constant is greater than approximately 2.8 times the stripe width, which is comparable to results for in-plane coupling of localized plasmons excited on metallic nanoparticles or graphene plasmon polaritons. This understanding could be leveraged for the creation of TI-based metasurfaces.
We prove that a finite group $G$ has a normal Sylow $p$-subgroup $P$ if, and only if, every irreducible character of $G$ appearing in the permutation character $({\bf 1}_P)^G$ with multiplicity coprime to $p$ has degree coprime to $p$. This confirms a prediction by Malle and Navarro from 2012. Our proof of the above result depends on a reduction to simple groups and ultimately on a combinatorial analysis of the properties of Sylow branching coefficients for symmetric groups.