Деякі особливості інноваційного розвитку Західного регіону України в контексті конкурентноспроможності

Головною метою державної інноваційної політики визначено створення соціально-економічних, організаційних і правових умов для ефективного відтворення, розвитку й використання науково-технічного потенціалу країни, забезпечення впровадження, виробництва і реалізації нових видів конкурентноздатної продукці

Short-term exposure sequences and anxiety symptoms: A time series clustering of smartphone-based mobility trajectories

Background Short-term environmental exposures, including green space, air pollution, and noise, have been suggested to affect health. However, the evidence is limited to aggregated exposure estimates which do not allow the capture of daily spatiotemporal exposure sequences. We aimed to (1) determine individuals’ sequential exposure patterns along their daily mobility paths and (2) examine whether and to what extent these exposure patterns were associated with anxiety symptoms. Methods We cross-sectionally tracked 141 participants aged 18–65 using their global positioning system (GPS) enabled smartphones for up to 7 days in the Netherlands. We estimated their location-dependent exposures for green space, fine particulate matter, and noise along their moving trajectories at 10-min intervals. The resulting time-resolved exposure sequences were then partitioned using multivariate time series clustering with dynamic time warping as the similarity measure. Respondents’ anxiety symptoms were assessed with the Generalized Anxiety Disorders-7 questionnaire. We fitted linear regressions to assess the associations between sequential exposure patterns and anxiety symptoms. Results We found four distinctive daily sequential exposure patterns across the participants. Exposure patterns differed in terms of exposure levels and daily variations. Regression results revealed that participants with a “moderately health-threatening” exposure pattern were significantly associated with fewer anxiety symptoms than participants with a “strongly health-threatening” exposure pattern. Conclusions Our findings support that environmental exposures’ daily sequence and short-term magnitudes may be associated with mental health. We urge more time-resolved mobility-based assessments in future analyses of environmental health effects in daily life

Environmental noise is positively associated with socioeconomically less privileged neighborhoods in the Netherlands

Background: Environmental noise has detrimental effects on various health outcomes. Although disparities in some environmental exposures (e.g., air pollution) are well-documented, there is still a limited and uncertain understanding of the extent to which specific populations are disproportionately burdened by noise. Aim: To assess whether environmental noise levels are associated with demographic and socioeconomic neighborhood compositions. Methods: We cross-sectionally examined long-term noise levels for 9,372 neighborhoods in the Netherlands. We linked these noise levels with administrative data on neighborhood characteristics for the year 2021. Linear and non-linear spatial regression models were fitted to explore the associations between noise, demographic, and socioeconomic neighborhood characteristics. Results: Our results showed that 46 % of the neighborhoods exhibited noise levels surpassing the recommended threshold of 53 dB to prevent adverse health effects. The regressions uncovered positive and partially non-linear neighborhood-level associations between noise and non-Western migrants, employment rates, low-incomers, and address density. Conversely, we found negative associations with higher-educated neighborhoods and those with a greater proportion of younger residents. Neighborhoods with older populations displayed a U-shaped association. Conclusions: This national study showed an inequality in the noise burden, adversely affecting vulnerable, marginalized, and less privileged neighborhoods. Addressing the uneven distribution of noise and its root causes is an urgent policy imperative for sustainable Dutch cities

Оборудование для испытания листовых конструкционных материалов при двухосном растяжении. Сообщение 2. Испытания двухосным нагружением в плоскости листа

Рассмотрены конструктивные особенности оборудования для механических испытаний листовых конструкционных материалов в условиях двухосного статического, циклического и динамического нагружения. Предложены оригинальные решения проблем, связанных с проведением усталостных испытаний крестообразных образцов без применения сложных гидравлических систем и динамических испытаний с использованием простейших испытательных машин на одноосное растяжение-сжатие.Розглянуто конструктивні особливості устаткування для механічних випробувань листових конструкційних матеріалів в умовах двовісного статичного, циклічного та динамічного навантаження. Запропоновано оригінальні розв’язки ряду проблем, що пов’язані з використанням хрестоподібних зразків для випробувань на втому без застосування складних гідравлічних систем та для динамічних випробувань за допомогою найпростіших випробувальних машин на одновісний розтяг-стиск.Original methods of mechanical testing of sheet materials under conditions of biaxial static, cyclic, and dynamic loading are described. Solutions were suggested for a number of problems related to the use of cruciform specimens in fatigue tests without employment of complex hydraulic systems and in dynamic tests in uniaxial tension-compression using mechanical testing machines

Green school outdoor environments, greater equity? Assessing environmental justice in green spaces around Dutch primary schools

Green spaces around schools contribute to children's health and wellbeing. However, only a few studies have examined whether green space provision around schools in urban and rural areas are equally available across socioeconomic groups. We assessed whether and to what extent the green space provision of public primary schoolyards differs cross-sectionally across demographic and socioeconomic neighborhood profiles in the Netherlands. A fine-grained measure of green space (e.g., lawns, hedges, and trees) was applied to 5,773 school locations centering buffers at 50 m, 100 m, and 500 m. Fitting spatial lag regression models to the data, our results showed robust and inverse associations between available green school outdoor environments and low-income and less-educated neighborhoods. The percentage of non-Western migrants was positively associated. No evidence showed greenness around schools differing across levels of urbanization; however, schools with subsidy schemes supporting schoolyard greening tended to be greener. Our overall findings highlight socioeconomic disparities in green school outdoor environments across the Netherlands. To bridge this gap in environmental justice, we advocate for each child to have the ability to benefit equally from schoolyard green spaces by enabling more comprehensive greening subsidy schemes

Street view environments are associated with the walking duration of pedestrians: The case of Amsterdam, the Netherlands

Different aspects of the built and natural environment appear related to people's walking behavior. State-of-the-art transport studies typically incorporate built environmental measures (e.g., density, diversity, design). However, street view (SV) environments capturing how pedestrians perceived their surroundings on site are understudied. Therefore, this study examined possibly non-linear associations between multiple SV-derived environmental features and pedestrians’ walking duration in Amsterdam, the Netherlands. We used travel survey data (N = 1,886) between 2014 and 2017. SV-derived environmental measures (e.g., cars and people) were extracted from SV images through a fully convolutional neural network. Covariate-adjusted generalized additive mixed models were fitted to the data. Our results showed that walking-SV features associations differed between weekdays and weekends. On weekdays, pedestrians walked more in neighborhoods with fewer individual standing walls and lower address density. On weekends, pedestrians’ walking duration increased with more street greenery, fewer cars, higher address density, pronounced land-use diversity, and further distances to train stations. Non-linear associations were found only in the case of weekday SV-derived people, even after adjusting for other neighborhood characteristics (e.g., address density, land-use mix, and street connectivity). Our findings suggest that SV environmental features complement the typically used built environmental measures to explain pedestrians’ mobility. Policy-makers and urban planners are advised to incorporate characteristics of the street environments, also should not only rely on the conventional thinking “the more, the merrier”

Changes in neighborhood physical and social environments matter for change in mental health: Longitudinal evidence from Dutch panel data

Numerous neighborhood environments have been recognized to affect mental health, but only a few longitudinal studies investigated these associations jointly and whether different population groups are affected differently. We used three-wave panel data of 2699 adults between 2010 and 2016 in the Netherlands to assess the associations between changes in neighborhood physical and social environments and mental health changes. Further, we assessed possible effect modification of gender and income. Mental health was measured using the Mental Health Inventory. Time-varying exposure to green space, blue space, population density, air pollution, socioeconomic deprivation, and social fragmentation were assigned based on individuals' neighborhood histories. Fixed-effect regressions were conducted to assess within-person associations between single and multiple exposures on mental health for the entire sample and stratified by gender and income. Our single-exposure models showed that increases in blue space were significantly associated with mental health improvements, while increases in fine particulate matter (PM2.5) resulted in declines in mental health. These associations were not attenuated in the multi-exposure model. We observed no significant associations for the remaining environments. Stratification analyses showed that females’ mental health further declined as PM2.5 concentrations increased compared to males. Increasing levels of socioeconomic deprivation were associated with further declines in mental health among the less well-off compared with higher-income earners. Our longitudinal findings suggested that neighborhood physical and social environment changes were associated with mental health changes. Future research is required to establish the underlying pathways

Longitudinal associations between the neighborhood social, natural, and built environment and mental health: A systematic review with meta-analyses

This review aimed to assess the longitudinal associations between neighborhood social, natural, and built environments, and multiple mental health outcomes (i.e., depression, anxiety, common mental disorder, and pooled mental disorders). Of 6,785 records retrieved, 30 studies fulfilled the inclusion criteria. Meta-analytical results primarily obtained from developed country studies showed that composite neighborhood socioeconomic status was negatively associated with depression (p = 0.007) and pooled mental disorders (p = 0.002), while neighborhood urbanicity was positively associated with depression (p = 0.012) and pooled mental disorders (p = 0.005). Future longitudinal studies with similar designs and standardized exposure assessments are warranted

Longitudinal associations of neighbourhood environmental exposures with mental health problems during adolescence: Findings from the TRAILS study

Background: Cross-sectional studies have found associations between neighbourhood environments and adolescent mental health, but the few longitudinal studies mainly focused on single exposure-based analyses and rarely assessed the mental health associations with environmental changes. Objectives: We assessed longitudinal within- and between-person associations of multiple neighbourhood time-varying physical and social environmental exposures with externalising and internalising problems throughout adolescence. Methods: We used four waves of TRAILS (Tracking Adolescents’ Individual Lives Survey) data on self-reported externalising and internalising problems at ages 11, 13, 16, and 19 among 2,135 adolescents in the Netherlands. We measured residence-based time-varying environmental exposures, including green space, air pollution (fine particulate matter (PM2.5)), noise, deprivation, and social fragmentation. We fitted random-effect within-between regression models to assess the environment-mental health associations. Results: At the within-person level, an interquartile range (IQR) increase in PM2.5 was associated with a 0.056 IQR (95% CI: 0.014, 0.099) increase in externalising problems, while an IQR social fragmentation increase was associated with a 0.010 IQR (95% CI: −0.020, −0.001) decrease in externalising problems. Stratification revealed that the association with PM2.5 was significant only for movers, whereas the association with social fragmentation remained only for non-movers. At the between-person level, an IQR higher noise was associated with a 0.100 IQR (95% CI: 0.031, 0.169) more externalising problems, while higher deprivation (β = 0.080; 95% CI: 0.022, 0.138) and lower fragmentation (β = -0.073; 95% CI: −0.128, −0.018) were associated with more internalising problems. We also observed positive between-person associations between PM2.5, noise, and internalising problems, but both associations were unstable due to the high PM2.5-noise correlation. Further, we observed a non-linear between-person PM2.5-externalising problems association turning positive when PM2.5 > 15 µg/m3. Null associations were found for green space. Conclusion: Our findings suggested that air pollution, noise, and neighbourhood deprivation are risk factors for adolescent mental health. Not only exposure levels but also exposure changes matter for adolescent mental health

Socioeconomic and environmental determinants of asthma prevalence: a cross-sectional study at the U.S. County level using geographically weighted random forests

Background: Some studies have established associations between the prevalence of new-onset asthma and asthma exacerbation and socioeconomic and environmental determinants. However, research remains limited concerning the shape of these associations, the importance of the risk factors, and how these factors vary geographically. Objective: We aimed (1) to examine ecological associations between asthma prevalence and multiple socio-physical determinants in the United States; and (2) to assess geographic variations in their relative importance. Methods: Our study design is cross sectional based on county-level data for 2020 across the United States. We obtained self-reported asthma prevalence data of adults aged 18 years or older for each county. We applied conventional and geographically weighted random forest (GWRF) to investigate the associations between asthma prevalence and socioeconomic (e.g., poverty) and environmental determinants (e.g., air pollution and green space). To enhance the interpretability of the GWRF, we (1) assessed the shape of the associations through partial dependence plots, (2) ranked the determinants according to their global importance scores, and (3) mapped the local variable importance spatially. Results: Of the 3059 counties, the average asthma prevalence was 9.9 (standard deviation ± 0.99). The GWRF outperformed the conventional random forest. We found an indication, for example, that temperature was inversely associated with asthma prevalence, while poverty showed positive associations. The partial dependence plots showed that these associations had a non-linear shape. Ranking the socio-physical environmental factors concerning their global importance showed that smoking prevalence and depression prevalence were most relevant, while green space and limited language were of minor relevance. The local variable importance measures showed striking geographical differences. Conclusion: Our findings strengthen the evidence that socio-physical environments play a role in explaining asthma prevalence, but their relevance seems to vary geographically. The results are vital for implementing future asthma prevention programs that should be tailor-made for specific areas