Common Space Research Articles

The Influence of Window-to-Wall Ratio (WWR) on Airflow Profile for Improved Indoor Air Quality (IAQ) in a Naturally-Ventilated Workshop in a Hot-Humid Climate

Indoor air quality (IAQ) has become a major concern worldwide as indoor air pollution rapidly becomes a public health issue. IAQ plays a pivotal role in occupants' health and comfort and influences their productivity and work efficiency. Many studies have been done on IAQ of common building spaces such as offices, residential buildings, and educational institutions, but the availability of IAQ studies on workshops is limited, considering the significant implications for workers' health and performance. Thus, this paper aims to study the effectiveness of natural ventilation in a workshop based on the influence of different window-to-wall ratios (WWR). Electronic databases are utilized to obtain data, and the findings collected are categorized based on research methodology, issues, and findings. The air movement as part of the physical parameters of IAQ is studied through the application of Computational Fluid Dynamic (CFD) simulation to observe and analyse the airflow pattern and the air velocity of the naturally ventilated workshop with different WWRs. The research outcome underscores the ideal WWR for effective natural ventilation in a workshop is 0.30. However, the study observes that the effectiveness decreases as WWR exceeds 0.50. Further research on the openings' location, inlet, and outlet sizes and application of mechanical ventilation can be conducted to improve the measurement of the IAQ effectiveness in a naturally ventilated workshop.

Spatial Atlas for Mapping Vascular Microcalcification Using 18F-NaF PET/CT: Application in Hyperphosphatemic Familial Tumoral Calcinosis.

Vascular calcification causes significant morbidity and occurs frequently in diseases of calcium/phosphate imbalance. Radiolabeled sodium fluoride positron emission tomography/computed tomography has emerged as a sensitive and specific method for detecting and quantifying active microcalcifications. We developed a novel technique to quantify and map total vasculature microcalcification to a common space, allowing simultaneous assessment of global disease burden and precise tracking of site-specific microcalcifications across time and individuals. To develop this technique, 4 patients with hyperphosphatemic familial tumoral calcinosis, a monogenic disorder of FGF23 (fibroblast growth factor-23) deficiency with a high prevalence of vascular calcification, underwent radiolabeled sodium fluoride positron emission tomography/computed tomography imaging. One patient received serial imaging 1 year after treatment with an IL-1 (interleukin-1) antagonist. A radiolabeled sodium fluoride-based microcalcification score, as well as calcification volume, was computed at all perpendicular slices, which were then mapped onto a standardized vascular atlas. Segment-wise mCSmean and mCSmax were computed to compare microcalcification score levels at predefined vascular segments within subjects. Patients with hyperphosphatemic familial tumoral calcinosis had notable peaks in microcalcification score near the aortic bifurcation and distal femoral arteries, compared with a control subject who had uniform distribution of vascular radiolabeled sodium fluoride uptake. This technique also identified microcalcification in a 17-year-old patient, who had no computed tomography-defined calcification. This technique could not only detect a decrease in microcalcification score throughout the patient treated with an IL-1 antagonist but it also identified anatomic areas that had increased responsiveness while there was no change in computed tomography-defined macrocalcification after treatment. This technique affords the ability to visualize spatial patterns of the active microcalcification process in the peripheral vasculature. Further, this technique affords the ability to track microcalcifications at precise locations not only across time but also across subjects. This technique is readily adaptable to other diseases of vascular calcification and may represent a significant advance in the field of vascular biology.

Diachronic research on the time of internet use for academic tasks by Spanish-speaking university students in the pre-COVID era

The COVID-19 pandemic forced the digitalization of education to be accelerated to continue the teaching–learning processes in confined populations. The irruption of this fact caused the evolution that had previously been occurring in the integration of digital technologies, and in general information and communication technologies (ICT), in education to be distorted, as their use multiplied exponentially in a few months. However, it is interesting to know how integrating these media and tools in the educational world evolved without having mediated an anomalous event such as the pandemic. This article studies the time university students in Spanish-speaking countries spent using the Internet for educational tasks in the pre-COVID era to determine whether this use was homogeneous in this common geographical and cultural space. Knowledge of these behaviors is valuable for analyzing their relationship with the then-current processes of ICT integration in higher education. It can serve as a basis for comparative studies of these trends and what happened during and after the pandemic. Among them is determining whether specific ICT integration strategies were not pedagogically adequate due to the situation’s urgency. The analysis of this study was descriptive and inferential statistics, based on the survey method with the application of data mining using software R. It was carried out over seven years (2012–2018) and applied to a sample of 2482 students from seven countries. The findings obtained have allowed us to determine that the use of the Internet by Spanish-speaking university students, in general, increased significantly over time in the pre-COVID era, in parallel to a more significant presence in educational processes, with conditioning factors in each country depending on its economy and political and social situation.

Legal bases of the information policy regarding the protection of the rights of air passengers

The article is devoted to the justification of the need to unify the national legislation of Ukraine with the acts of the European Union in the field of human rights, in particular, the rights of air passengers. The article summarizes the analysis of the effectiveness of existing legal acts and mechanisms aimed at ensuring a high level of protection of the rights and safety of air passengers in specific situations. It is claimed that Ukraine undertakes to bring national legislation in the field of air passenger rights protection into full compliance with EU acts, despite the biggest challenge on the way to building democracy in Ukraine - the full-scale invasion of the Russian Federation and the closure of Ukrainian airspace for today. The development of legal mechanisms to protect the rights of air passengers is determined not only by the desire to ensure their safety during travel, but also contributes to the development of the aviation industry in general. The need to pay attention to the protection of the rights of air passengers in the process of implementation of EU acts is emphasized, since human rights standards require proper study and implementation for the effective use of common air space, restoration of air navigation infrastructure. The main attention is focused on the peculiarities of the harmonization of national and European standards, which requires significant efforts and a large number of measures on the part of the state, in particular, the proper implementation of EU acts regarding the rights of air passengers and the protection of consumer rights. Next steps regarding further obligations of Ukraine were also analyzed. Increasing attention to the protection of the rights of air passengers is of practical importance for increasing the effectiveness of cooperation between Ukraine and the EU in the field of human rights and creating a modern legal framework for aviation regulations regarding the rights of air passengers in the country. Tasks that need to be completed for the successful integration of Ukraine into the common aviation space of the EU are highlighted. The experience of law enforcement for the protection of the rights of EU air passengers will contribute to the restoration of our state’s capabilities for the safety of civil aviation flights. Conducting research in this direction is a relevant and necessary scientific search.

EEG-eye movement based subject dependence, cross-subject, and cross-session emotion recognition with multidimensional homogeneous encoding space alignment

The joint learning of multimodal is helpful to extract the general information cross-modality in improving the performance of multimodal emotion recognition. However, focusing on a single common pattern can cause multimodal data to deviate from its original distribution and fail to fully capture the potential representation of the data. Therefore, we propose a multi-dimensional homogenous encoding spatial alignment (MHESA) method, which consists of two parts: multi-modal joint learning and modal knowledge transfer. To obtain a common projection space of EEG-EM features, we use a multimodal joint space encoder to learn the homogeneous joint space of EEG-Eye Movement (EM). To obtain a homogeneous encoding space based on modal knowledge, the knowledge transfer module learns the spatial distribution of EM features while retaining the original EEG features. The output of each module is used to construct a multidimensional homogeneous encoding space. The weight and multi-task loss function of the multi-dimensional homogeneous encoding space are dynamically adjusted by the Multi-task Joint Optimization Strategy (MJOS). By analyzing the effect of multi-task optimization, we found that compared with the subject dependence scene, the cross-subject scene has an advantage in the construction of joint encoding space, and the modal knowledge transfer feature has a higher contribution degree in cross-session. The experimental results show the MHESA method can make the model achieve more stable performance in three emotion recognition scenes.

European Health Data Space – Is the Proposed Certification System Effective against Cyber Threats?

Abstract The proposal for a European Health Data Space aims at creating a common space where individuals may control their health data in a trusted and secure way. The objective is not only improving healthcare delivery, but also enhancing the opportunities to use health data for research and innovation. To achieve these results, the proposal implements a mandatory self-certification scheme for European health records systems as well as for wellness devices and applications, setting up essential requirements related to interoperability and security. Although this is the first intervention that sets a horizontal framework that is mandatory for all Member States, the security requirements that are included in the legislative proposal are not sufficiently detailed and comprehensive. Given that cyberthreats are increasing and security incidents affecting health data may potentially have an impact on the lives of patients, it is important that cybersecurity measures are adopted and implemented in the most effective way. The paper will analyse the European Health Data Space proposal pointing to the open issues and doubts that may be emerging and it will compare them with the proposed Cyber Resilience Act, identifying the issues that may be solved thanks to this horizontal regulation and the ones that instead remain open.

From contested spaces to choice-centered places: using geographic interviews to understand young adults’ experiences in permanent supportive housing

ABSTRACT Young adults who have endured chronic housing instability have often been failed by settings which have inadequately supported them – such as home and school settings. As such, young people experiencing homelessness and housing instability are seeking supportive settings. Permanent supportive housing (PSH) is a burgeoning supportive intervention in the youth homelessness services landscape. Our study used the geographic interview methodology, a novel qualitative geographic information systems methodology, to understand how young adult residents (N = 15) in PSH experience the physical setting. Residents experienced the common spaces in PSH as contested spaces; meanwhile, they sought choice-centered spaces – where there are choices of what to do, who to spend time with, and how to spend time. PSH settings for young adults may embrace choice-centered principles and practices when building trauma-informed PSH for young adults. Future research should explore these findings across demographic and geographic differences.

Promoting stress and anxiety recovery in older adults: assessing the therapeutic influence of biophilic green walls and outdoor view.

Previous research has already provided evidence regarding the favorable impact of green walls and outdoor views on stress reduction and anxiety alleviation. However, there has been limited exploration into the combined effects of green walls and outdoor views on older adults. In this study, a between-subjects experiment was conducted using virtual reality (VR) technology with 23 participants. Following exposure to stressors, each participant underwent four randomized sessions, each lasting 5 min, in various virtual reality (VR) environments, encompassing non-biophilic and biophilic environments (including green walls, outdoor views, and their combination). Throughout the process, we measured physiological indicators of stress responses, including heart rate, heart rate variability, skin conductance levels, and blood pressure, using biometric sensors. Psychological changes in participants, including anxiety levels, were evaluated through the State-Trait Anxiety Inventory, recovery scales, and self-reported emotional assessments. In conclusion, in comparison to non-biophilic environments, older adults consistently exhibited lower stress levels, experienced superior anxiety relief, and demonstrated improved recovery in nature connectedness environments, with a notably faster recovery rate. These findings suggest that the incorporation of nature connectedness principles into the indoor environments of public activity spaces within older adults care facilities can significantly contribute to stress reduction and anxiety alleviation among older adults. Furthermore, these effects appear to be contingent on the specific types of nature connectedness environments. These results can provide substantial evidence to support the design of indoor common activity spaces within older adults care facilities.

VR digital twin of office space with computer vision-based estimation of room occupancy and power consumption

AbstractIn the past years, energy consumption has increased rapidly due to many factors, including the rise in technology adoption. This has many downfalls, from higher costs to CO$$_2$$ 2 emissions. Human activities in offices and houses represent a considerable amount of energy usage. A digital twin (DT) of an open-plan common space is created, serving the purpose of remote room occupancy monitoring and automatic detection of energy consumption. A virtual reality (VR) model is developed and integrated to temperature, humidity and imaging sensors. For maintaining privacy, images are processed in local computers to measure occupancy levels and live video feed were never transmitted. The same set of imaging sensors were also used in a bespoke computer vision module for energy consumption estimation. The human avatars were mapped with high correlation (R$$^{2}$$ 2 $$= 0.85$$ = 0.85 ) with actual positions on floor. Our energy consumption algorithm accuracy obtained true positive rate of $$91.58\%$$ 91.58 % and F1 score of $$81.96\%$$ 81.96 % . Finally, all this information is transmitted and visualized to the 3D digital twin for remote monitoring and simulation.

Dynamics of Friendliness of Communication Regimes in the South Caucasus Countries

The article presents a Rating of the friendliness of the communication regimes of post-Soviet countries for 2023. The author focuses on the countries of the South Caucasus, shows the trends in the development of communication regimes, the degree of their friendliness towards Russia. The communication regime is defined as a system of rules, norms, conditions and opportunities for communication between state and non-state actors. To determine friendliness, the legal, political, and socio-cultural conditions for the development of 12 types of cross-country communications are analyzed. The strengthening of the formation of a common communication space with Russia in South Ossetia and Abkhazia is argued. In Azerbaijan and Georgia, the strengthening of a pragmatic approach to the development of communications with Russia and the strengthening of the role of the economic factor are being recorded. The example of Armenia shows how the political elite strengthen the movement towards unfriendliness in conditions when there is no deep anti-Russian position in the consciousness of the Armenian society. The author has compiled profiles of the friendliness of communication regimes for each country and reveals their features. The article uses the materials of the annual monitoring of the communication regimes of post-Soviet countries. Monitoring is provided by the National Research Institute for the Communications Development (Moscow) under the guidance of the author of this article.

Tensor-based multi-view spectral clustering via shared latent space

Multi-view Spectral Clustering (MvSC) partitions data into clusters according to multiple views for higher performance. However, most existing works overlook model interpretability and involve iterative and alternating updates on parameters with expensive computations, where out-of-sample predictions are also commonly prohibitive. In this paper, we construct a novel weighted conjugate feature duality for formulating the MvSC problem cast as a weighted principal components analysis. In this new method, a common latent space is derived with shared dual variables, which achieves the couplings by learning projections from different views into the latent space. To boost higher-order correlations, the tensor-based modeling is introduced. Our method leads to a closed-form solution in the dual through a single eigendecomposition thanks to the primal–dual representation, leading to easy algorithmic setups in practice. Our novel conjugate duality and the conceived shared latent space greatly boost the efficiency in model representation and computation: element-wise operations of kernels are involved in the dual instead of the explicit tensor computation in the primal and the size of our eigendecomposition is independent of the number of views. Besides, we can effectively incorporate the visualization of the clusters in a single latent space, which is particularly useful with many data views. For predicting unseen data under generic applications, our method can be flexibly applied with out-of-sample extensions, which can also be utilized for further efficiency in large-scale cases with fixed-size kernel schemes. Numerical experiments verify our superiority in accuracy, efficiency, and diverse data explorations.

Multi-Modal Latent Diffusion.

Multimodal datasets are ubiquitous in modern applications, and multimodal Variational Autoencoders are a popular family of models that aim to learn a joint representation of different modalities. However, existing approaches suffer from a coherence-quality tradeoff in which models with good generation quality lack generative coherence across modalities and vice versa. In this paper, we discuss the limitations underlying the unsatisfactory performance of existing methods in order to motivate the need for a different approach. We propose a novel method that uses a set of independently trained and unimodal deterministic autoencoders. Individual latent variables are concatenated into a common latent space, which is then fed to a masked diffusion model to enable generative modeling. We introduce a new multi-time training method to learn the conditional score network for multimodal diffusion. Our methodology substantially outperforms competitors in both generation quality and coherence, as shown through an extensive experimental campaign.

Causal association of monocytes with chronic kidney disease and the mediation role of frailty: A study integrating large-scale two-sample Mendelian randomization and single-cell analysis

BackgroundRecent research reported that frailty was prevalent among adults with chronic kidney disease (CKD) in clinical trials, and monocytes illustrated a similar difference in these two diseases compared to the normal. However, the scientific evidence for a causal relationship between these two diseases was lacking, with further exploration into whether monocytes co-regulate them. MethodsWe aimed to integrate large-scale Mendelian randomization (MR) and single-cell transcriptome analysis to determine whether there was a causal relationship between frailty and CKD (Bidirectional two-sample Mendelian determined the causal direction), whether monocytes impacted them, and whether the two diseases shared genetic variation sites. Based on 441 Genome-wide association study datasets, this study utilized five MR methods, multiple sensitivity analysis, and corresponding single-cell transcriptome datasets as proof. ResultsThe association between frailty and CKD was significantly causal, and frailty increased the risk of CKD in patients (OR (95 %CI): 3.5597 (1.8369–6.8982), p = 0.000168909). The exposure monocyte can increase the risk of frailty and CKD in patients, especially with high expression of HLA genes in these cells. The existing two-sample MR results cannot reject the hypothesis that monocytes increase the risk of CKD by inducing frailty. rs9275271’ 1mb genetic location above and below had been proven to be an effective genetic space for both frailty and CKD. ConclusionWe conducted the largest MR to date on frailty, monocyte, and CKD, and found a significant causal association between frailty and CKD, with the single-cell analysis confirmed. The exposure monocytes increased the risk of frailty and CKD, particularly with high expression of HLA genes in these cells. We identified a potential common genetic variant space, rs9275271, associated with frailty and CKD, providing insights into the genetic basis of these conditions.

Common Latent Embedding Space for Cross-Domain Facial Expression Recognition

In practical facial expression recognition (FER), the training data and test data are often obtained from different domains. It is obvious that the domain disparity could significantly degrade the recognition performance. To tackle this challenging cross-domain FER problem, we put forward a novel method termed common latent embedding space (CLES). To be specific, first, we obtain a common embedding space for cross-domain samples by matrix factorization (MF). Then, the dual-graph Laplacian is applied to this common embedding space to narrow the gap across distinct domains and, meanwhile, explores the inherent geometric information. Furthermore, to characterize the global relationship of the cross-domain samples, the self-representation strategy is used to guide the learning of the common embedding space. Finally, comprehensive experiments on four benchmark databases indicate that the proposed method can achieve better performance in comparison with the state-of-the-art methods on cross-domain FER tasks.

Des fenêtres culturelles à l’hôpital : susciter de nouvelles perspectives cliniques dans les établissements de santé

ContextThis article is based on doctoral research interested in the effects of “médiation culturelle” – the bi-directional interplay and effects of embedding a cultural experience or artistic process – on institutional behavior, environment, daily routine, and corporate culture. The specific focus here is an original institutional experience, entitled “Windows Open to the World,” that examines the effect of embedding an artist and artistic process into the everyday life of a regional rehabilitation center for patients with acquired neurologic disease or traumatic injury. This study was completed in partnership with the Biennale d’Art Contemporain of Lyon, via the Veduta platform and the artist/photographer Karim Kal, as part of the national Culture and Health program. MethodThis is exploratory research. In an institutional clinical setting, we present clinical observations and propose lines of reflection and analysis. ObjectivesThis study seeks to analyze the function of art on healthcare institutions (daily routine, corporate culture, environment) and professional practice. This study further explores the modulatory effect of embedding artistic and cultural experiences (“médiation culturelle”) on clinical staff, including the potential to improve providers’ feelings of well-being, renew professional interest and commitment, spark individual and team creativity, improve team cohesion, and reduce burn-out. ResultsAs an interventional device, the “médiation culturelle” process created new opportunities at the institutional level: in a dynamic interplay, embedding the artistic process created new common space and spontaneous gatherings; and time spent in discussion promoted collaboration between professionals, allowing new projects to come to life despite the current constraints of the institutional environment. The preparatory work required for any project, often undocumented and hidden from view, is shown by these results to be essential.These interdisciplinary projects are conducive to group work, prompting a review of and a strengthening of the team's approach to collaborative clinical care. Moreover, through the interactive creative nature of the artistic cultural intervention, these projects serve to generate enduring psychological interactions and emotional experiences between patients, artists, and professionals, ultimately forging more vibrant relationships through these shared experiences. These cultural interventions make it possible to reset and re-ignite the imagination in the institution, in support and advocacy of artistic creativity. Similarly, they rejuvenate the professional staff, stimulating new ideas, fostering creative exchange, and prompting collaboration with natural extensions to their clinical practice. These cultural projects can also serve as a kind of libidinal recharge for professionals, supporting their ability to generate and maintain patient motivation over time. InterpretationsIn the current context of deteriorating working conditions for health care professionals, psychologists within multidisciplinary teams are increasingly led to find creative means to support their colleagues’ work. Incorporating a system of artistic and cultural processes into institutional healthcare systems is a novel and innovative approach that humanizes the hospital environment, enriches the patient experience, and re-invigorates the professionals who work there.

Self-Rated Quality of Life of Foreign Medical Students Getting Education in the Chuvash Republic

Introduction: Currently, about 3,000 foreign students study at I.N. Ulyanov Chuvash State University. Globalization of education involves Russian universities into a common global educational space and makes higher education more accessible to foreigners. However, moving to another country creates a stress problem, which affects the quality of life and health of migrant students. Objective: To study the quality of life of Indian medical students receiving education in the Chuvash Republic. Materials and methods: A continuous sample of Indian first and fifth year students of the Medical Faculty was examined in June 2023, out of examination sessions. For a subjective assessment of the quality of life, the brief version of the World Health Organization Quality of Life questionnaire (WHOQOL–BREF) was used. Results: We observed no significant differences in satisfaction with physical and psychological well-being among the first and fifth year students. The calculated indicator was 66.2 % (95 % CI: 63.5–68.9) for the first-year students and 66.7 % (95 % CI: 59.5–73.9) for the fifth-year students. Statistical differences were established in the analysis of answers concerning self-perception: the level of satisfaction was 66.3 % (95 % CI: 63.2–69.4) vs 47 % (95 % CI: 41.0–49.0) respectively, in the groups of first- and fifth-year students. The final indicator of satisfaction with the sphere of microsocial support was 62.5 % (95 % CI: 58.7–66.3) among the first–year and 61.5 % (95 % CI: 54.0–69.0) among the fifth-year students. Satisfaction with the sphere of social well-being was 63.0 % (95 % CI: 60.1–65.9) and 65.1 % (95 % CI: 58.0–72.2) in the groups of first- and fifth-year students, respectively. Conclusions: Self-rated quality of life of the first-year medical students is poorer than that of the fifth-year students, which is mainly attributed to low satisfaction with social well-being factors.

PR-PL: A Novel Prototypical Representation Based Pairwise Learning Framework for Emotion Recognition Using EEG Signals

Affective brain-computer interface based on electroencephalography (EEG) is an important branch in the field of affective computing. However, the individual differences in EEG emotional data and the noisy labeling problem in the subjective feedback seriously limit the effectiveness and generalizability of existing models. To tackle these two critical issues, we propose a novel transfer learning framework with Prototypical Representation based Pairwise Learning ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">PR-PL</i> ). The discriminative and generalized EEG features are learned for emotion revealing across individuals and the emotion recognition task is formulated as pairwise learning for improving the model tolerance to the noisy labels. More specifically, a prototypical learning is developed to encode the inherent emotion-related semantic structure of EEG data and align the individuals' EEG features to a shared common feature space under consideration of the feature separability of both source and target domains. Based on the aligned feature representations, pairwise learning with an adaptive pseudo labeling method is introduced to encode the proximity relationships among samples and alleviate the label noises effect on modeling. Extensive results on two benchmark databases (SEED and SEED-IV) under four different cross-validation evaluation protocols validate the model reliability and stability across subjects and sessions. Compared to the literature, the average enhancement of emotion recognition across four different evaluation protocols is 2.04% (SEED) and 2.58% (SEED-IV). The source code is available at <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><uri>https://github.com/KAZABANA/PR-PL</uri></i> .

ANALYSIS OF STRUCTURAL SHIFTS IN THE EAEU ECONOMY USING INDIVIDUAL INDICATORS OF STRUCTURAL SHIFTS

The functioning of the Common Economic Space (CES) and the Eurasian Economic Union on the territory of the countries included in the regional association presupposes the implementation by countries and the Eurasian Economic Commission of a coordinated policy in the economic sphere. This policy has an impact on structural changes in the economies of countries and the regional union as a whole. The results of these changes can be assessed using indicators of structural changes, which assess structural changes in individual elements or groups of the population (sectors of the economy) or shifts in all elements of the population. The second indicators characterize the intensity of differences between the two structures as a whole. In this article, we focused our attention on the analysis of structural changes in individual sectors of the economy of the EAEU and the countries included in the regional association. The top five largest sectors of the EAEU GDP in 2022 included: 1) manufacturing industry (13.3%); 2) mining and quarrying (12.3%); 3) wholesale and retail trade; repair of motor vehicles and motorcycles (11.7); 4) transactions with real estate (9.3%); 5) public administration and defense, compulsory social security (5.9%). At the same time, the change in their share in GDP compared to 2011 was in different directions - the share of trade decreased significantly, while the other four industries increased, including significantly in the mining industry. The list of the largest sectors of the Russian economy, their place in the country’s GDP, as well as the direction of change in their share coincides with the economy of the EAEU as a whole. In other EAEU countries the situation is different. Calculations of partial indicators of relative structural changes, calculated by the chain method, showed significant changes in certain periods, including so-called “jumps”, representing a change in the shares of industries in GDP by 50 percentage points. and more. In particular, jumps were observed in Armenia in three industries, in Belarus - in two industries, in Kazakhstan - in one industry, in Kyrgyzstan - in two industries, with two different directions in one industry. There were no horse races in Russia. However, significant changes in the share of GDP were observed in the mining and quarrying industries, financial and insurance activities, the provision of other types of services, administrative activities and additional services in this area. Calculations of partial indicators of relative structural changes calculated using the base method also showed their noticeable changes in relation to the base period. In particular, construction and trade were characterized by a decrease in the share of the EAEU GDP in 2022, amounting to 27 and 21 percentage points. responsibly. At the same time, the share of a number of industries increased: healthcare and social services (+28 p.p.), manufacturing (+10 p.p.). Some countries saw more significant changes, including spikes.

Analysis of the planning, functional, and volumetric-spatial organization of temporary settlements

This article examines the experience of planning temporary settlements for the affected and displaced persons, evaluating global and domestic approaches. The analysis encompasses urban planning situations, volumetric-spatial, and functional-planning organization of temporary residential structures, defining typological characteristics and categorizing them. The main focus is on the functioning of temporary settlements using open, semi-open, and closed systems within the structure of habitation. The analysis of global practical experience reveals that at the urban planning level, temporary settlements constitute a structural and planning element primarily constrained by the population size and the potential use of existing service infrastructure. These indicators dictate the placement of this element (temporary settlement) within the settlement system and its functional purpose (transit or long-term settlements), consequently influencing the operational period (from a few months to half a year, up to 1 year, over 1 year, or indefinitely). The most common type is a settlement with a population capacity of up to 500 individuals, with the distinction of a residential zone as the main, and in some cases, the only zone (without the development of a public area or a common space core). Less widespread are settlements with a population capacity of over 500 to 1000 individuals, where a public center with facilities for domestic services, recreation, education, and work-related activities begins to form, mainly in the central core of the structure. An uncommon type of settlement is a residential structure with a capacity exceeding 1000 individuals, featuring the development of a comprehensive public center with a hierarchical network of sub-centers for social and domestic services and recreation, serving as nuclei for the formation of residential groups. Such settlements operate as closed self-servicing systems, meaning they are not dependent on functional connections with the community or the city within the settlement system. The planning aspects derived from global and Ukrainian experiences necessitate defining a temporary settlement as a new element in the urban planning system. Additionally, there is a need for further typological grouping of the reviewed examples of temporary settlements based on their interdependent developmental characteristics.

Durability, Flexibility and Plasticity in the UN Convention on the Law of the Sea

Abstract The overall resilience of the Convention – its durability, its flexibility and its plasticity in the face of myriad challenges that have unfolded over time – is largely attributable to certain design features within the Convention, to a willingness to ‘bend’ the Convention toward practical outcomes when necessary, and to the foresight of the drafters in closely tying the Convention to other agreements and standards, as well as to the general field of international law, so that the Convention might evolve as the world evolves. There are risks in flexibility and plasticity; in measured doses they promote resilience, while if taken too far they can erode confidence and support in the regime. Ultimately, such resilience rests on the good faith of States and other relevant actors in pursuing common ground in regulating a common space.