A model of harmonious development of regional healthcare on the basis of effective interaction of the healthcare system and the socio-economic system of the region

Subject. The article considers the effectiveness of interaction between the healthcare system and the socio-economic system of the region. Objectives. Our aim is to propose a model for harmonious development of regional health services. Methods. To construct the model, we employ methods of statistical, systems, comparative analysis, methods of economic and mathematical modeling. To achieve the harmonious development of regional healthcare, the model components are built on the basis of the ‘golden section’ proportions. Results. We tested our methodology, using the case of the Sverdlovsk Oblast healthcare. The paper shows possibilities of effective interaction between the two systems, offers methodological approaches to assessing the level of public funding of regional healthcare and effectiveness of voluntary health insurance. Based on statistical data, we obtained good results. They demonstrate that in our model we achieved planned proportions in terms of levels of funding, public-private partnership development, voluntary medical insurance, medical tourism, innovative development of industry. Conclusions. Our methodological approaches, the model of harmonious development of regional healthcare are universal and can be applied at the level of subjects of the Russian Federation.

Antiferromagnetic spatial photonic Ising machine through optoelectronic correlation computing

Recently, spatial photonic Ising machines (SPIM) have been demonstrated to compute the minima of Hamiltonians for large-scale spin systems. Here we propose to implement an antiferromagnetic model through optoelectronic correlation computing with SPIM. Also we exploit the gauge transformation which enables encoding the spins and the interaction strengths in a single phase-only spatial light modulator. With a simple setup, we experimentally show the ground-state-search acceleration of an antiferromagnetic model with 40000 spins in number-partitioning problem. Thus such an optoelectronic computing exhibits great programmability and scalability for the practical applications of studying statistical systems and combinatorial optimization problems.

A Language Model for Misogyny Detection in Latin American Spanish Driven by Multisource Feature Extraction and Transformers

Creating effective mechanisms to detect misogyny online automatically represents significant scientific and technological challenges. The complexity of recognizing misogyny through computer models lies in the fact that it is a subtle type of violence, it is not always explicitly aggressive, and it can even hide behind seemingly flattering words, jokes, parodies, and other expressions. Currently, it is even difficult to have an exact figure for the rate of misogynistic comments online because, unlike other types of violence, such as physical violence, these events are not registered by any statistical systems. This research contributes to the development of models for the automatic detection of misogynistic texts in Latin American Spanish and contributes to the design of data augmentation methodologies since the amount of data required for deep learning models is considerable.

Multipoint correlation functions at phase separation. Exact results from field theory

We consider near-critical two-dimensional statistical systems with boundary conditions inducing phase separation on the strip. By exploiting low-energy properties of two-dimensional field theories, we compute arbitrary n-point correlation of the order parameter field. Finite-size corrections and mixed correlations involving the stress tensor trace are also discussed. As an explicit illustration of the technique, we provide a closed-form expression for a three-point correlation function and illustrate the explicit form of the long-ranged interfacial fluctuations as well as their confinement within the interfacial region.

The D-CTC Condition is Generically Fulfilled in Classical (Non-quantum) Statistical Systems

The D-CTC condition, introduced by David Deutsch as a condition to be fulfilled by analogues for processes of quantum systems in the presence of closed timelike curves, is investigated for classical statistical (non-quantum) bi-partite systems. It is shown that the D-CTC condition can generically be fulfilled in classical statistical systems, under very general, model-independent conditions. The central property used is the convexity and completeness of the state space that allows it to generalize Deutsch’s original proof for q-bit systems to more general classes of statistically described systems. The results demonstrate that the D-CTC condition, or the conditions under which it can be fulfilled, is not characteristic of, or dependent on, the quantum nature of a bi-partite system.

The benefits of being a multi-capital: The economic impact of the international and European institutions and interest groups

Brussels is known worldwide for hosting (most of) the European institutions as well as several other international organisations like North Atlantic Treaty Organization (NATO). Besides the symbolic political value, their presence has an economic impact because of their administrative activities and staff remunerations. Estimating the economic impact poses two main challenges. First, the supranational nature of these organisations makes it challenging to quantify the size of these institutions and related bodies because country-based statistical systems hardly account for transnational organisations. Second, as these institutions and organisations mainly rely on taxpayers’ funding, policymakers need transparent estimates to assess the implications of their decisions as well as for a matter of accountability. For these purposes, a meticulous data collection is carried out, and transparent assumptions are used to estimate the local economic multiplier effect of these activities accounting for operational expenditures, employees’ consumption as well as (Belgian) taxes and saving. The results show that the economic impact for the Brussels-Capital Region lies between 23% and 26% of regional turnover and 19% and 20% of employment, while interregional spillovers are estimated being around 1.5% to 1.7% of regional turnover and 0.6% to 0.7% of employment for both Flemish and Walloon regions.

Risk factors for perinatal loss - reality or fiction?

Aim: to identify factors predisposing to perinatal losses, assessment of which is available at the first (only) visit of pregnant woman in antenatal clinic.Materials and Methods. A retrospective analysis of the medical records of 964 women who performed delivery in 2009-2019 in 15 obstetric facilities was carried out. The patients were divided into 2 groups: the main group included 457 women with perinatal losses (stillbirth - 328 children, and 129 children with early neonatal death); the control group consisted of 507 women, whose children survived 7 days during postnatal period. We analyzed parameters routinely determined by an obstetrician-gynecologist at the first visit of woman during within ongoing pregnancy (regardless of gestation age), namely, social status, anamnesis, data of initial examination.Results. The following significant differences were revealed in pregnant women from the main group: a younger age of pregnancy; no registered marriage and permanent job as well as primary and secondary education; smoking, alcohol and drug use; concurrent diabetes mellitus, hypertensive disorders, blood contact infections, obesity; older menarche age and younger sexual debut age; medical history contains infectious genital pathology, more often pregnancies and childbirths, two or more abortions before repeated childbirth, premature births.Conclusion. Thus, the anamnestic indicators noted above can be used to create prognostic statistical systems and models to determine high risk of perinatal losses of any nature.

Source-side Reordering to Improve Machine Translation between Languages with Distinct Word Orders

English and Hindi have significantly different word orders. English follows the subject-verb-object (SVO) order, while Hindi primarily follows the subject-object-verb (SOV) order. This difference poses challenges to modeling this pair of languages for translation. In phrase-based translation systems, word reordering is governed by the language model, the phrase table, and reordering models. Reordering in such systems is generally achieved during decoding by transposing words within a defined window. These systems can handle local reorderings, and while some phrase-level reorderings are carried out during the formation of phrases, they are weak in learning long-distance reorderings. To overcome this weakness, researchers have used reordering as a step in pre-processing to render the reordered source sentence closer to the target language in terms of word order. Such approaches focus on using parts-of-speech (POS) tag sequences and reordering the syntax tree by using grammatical rules, or through head finalization. This study shows that mere head finalization is not sufficient for the reordering of sentences in the English-Hindi language pair. It describes various grammatical constructs and presents a comparative evaluation of reorderings with the original and the head-finalized representations. The impact of the reordering on the quality of translation is measured through the BLEU score in phrase-based statistical systems and neural machine translation systems. A significant gain in BLEU score was noted for reorderings in different grammatical constructs.

Antiferromagnetic spatial photonic Ising machine through optoelectronic correlation computing

Recently, spatial photonic Ising machines (SPIM) have been demonstrated to compute the minima of Hamiltonians for large-scale spin systems. Here we propose to implement an antiferromagnetic model through optoelectronic correlation computing with SPIM. Also we exploit the gauge transformation which enables encoding the spins and the interaction strengths in a single phase-only spatial light modulator. With a simple setup, we experimentally show the ground state search of an antiferromagnetic model with $40000$ spins in number-partitioning problem. Thus such an optoelectronic computing exhibits great programmability and scalability for the practical applications of studying statistical systems and combinatorial optimization problems.

Toward an Integrated Statistical System Based on Registers

This note describes how Latin American and Caribbean countries can join a revolution in statistical systems, moving from data collection based on geographic frames to one based on administrative registers, and the advantages of making this change. Northern European countries have already shifted from a traditional area frame-based statistical system to a register-based system, in which all surveys are based on statistical registers. Among the key advantages of the shift are: i) lower production costs; ii) potential for higher levels of geographic disaggregation and greater frequency; and iii) reduce the burden on informants by following the maxim of “ask once, use many times”. Evidence from Colombia, Ecuador, Mexico, and Peru points to the viability of this transition in the region. However, to take better advantage of the new strategy, countries should invest to improve the quality and coverage of their administrative systems and should create an integrated register system, allowing for efficient data use, and ensuring consistency and coherence across statistical registries.