Dominant Trajectory Research Articles

Trajectories and drivers signalling the end of agricultural abandonment in Trás-os-Montes, Portugal

Agricultural abandonment has given rise to novel landscape dynamics worldwide. This paper investigates abandonment and post-abandonment dynamics in continental Portugal as a hotspot of landscape change. We mapped the spatial patterns and drivers of recent (1995–2018) land use changes in a remote mountainous region as post-abandonment trajectories, based on detailed land use/land cover data made available by the Portuguese government. We showed that ‘Revegetation’ trajectories, indicative of agricultural abandonment, were still widespread between 1995 and 2007. However, between 2007 and 2018, the landscape was much more stable with ‘Return to agriculture’ as the dominant change trajectory. To understand what drives landscape changes after abandonment, we explored the influence of a wide range of potential biogeophysical and socio-economic drivers on the observed trajectories. We contrasted different landscape outcomes in binary logistic regression models with the potential underlying drivers as independent variables. The regressions revealed that the most significant determinants of these alternating dynamics are existing land use, climate, slope, protection regime and accessibility. The results of the regressions are at times counterintuitive and give important indications of the changing spatio-temporal scales at which these variables exert influence on the landscape outcomes. However, the regression models’ limited accuracies highlight the need for deeper investigation of the socio-economic and historic context of the observed changes. Improved understanding of the (drivers of) alternative dynamics following agricultural abandonment can help inform policy decisions regarding agriculture and cultural landscape preservation.

Further semantic change of the derogatory sociomorpheme tái in Chinese gender-related Internet neologisms

Internet neologisms provide discursive spaces for grassroots netizens. This study examines a pair of gendered labels gaining popularity in Taiwanese online forums: táinán ‘Tai-man’ and táinǚ ‘Tai-woman’. The quantitative keyword analysis based on a corpus of online data suggests that táinán and táinǚ are pejorative labels. The qualitative discourse analysis of the keywords in context presents gender stereotypes associated with táinán and táinǚ, respectively. Converging evidence for the negative attitudes toward táinán and táinǚ is obtained in a questionnaire survey. The shared morpheme tái inherits localness-related ideologies and interacts with gender ideologies concerning ideal manhood and womanhood, and it has come to index an ideological contrast between favorable foreignness and unfavorable localness. This study contributes to the current literature on Chinese morphological patterns studied in social contexts. Moreover, this study presents evidence that changes in social meanings also follow the dominant trajectories of other semantic changes.

Lithium Laterals

In the context of globalized capitalism, land is framework for resource extraction and value accumulation, transforming natural elements into commodities. The green energy transition promises alternatives to burning fuel for power, yet many of the extractivist patterns in the fossil fuel industry are reproduced within the realm of green energy. Part cartomancy, part spatial association, part lateral thinking, Lithium Laterals is a tool for constructing counternarratives to challenge dominant trajectories of the energy transition. The deck’s structure and interdisciplinary approach encourage diverse interpretations, aiming to stimulate alternative worldviews and pathways to more equitable futures.

Classifying moisture sources associated with snowfall in the mountains of Lesotho

An average of eight snowfall events occur each year in the eastern Lesotho Highlands. These snowfall events are typically associated with cut-off low (CoLs) systems and mid-latitude cyclones. However, the moisture sources of the snowfall are unclassified and unclear. The Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, an air mass back trajectory model, has been used to evaluate moisture source waters locally in southern Africa and internationally in China and Europe. This study uses HYSPLIT to determine the source moisture of snow in Lesotho. A list of all 82 snowfall events in Lesotho spanning 2017 to 2022 was compiled using the Snow Report SA Instagram page, including the date and location of snowfall. A 72-hour back trajectory for each snowfall event was initiated for both Afriski and the whole of Lesotho. This amounts to models of moisture source trajectories for 28 and 82 snowfall days, respectively. These air mass pathways are classified according to their frequency per snowfall event, per month in the snow season, per year and for the full period. From this, associated moisture source regions and dominant air mass trajectories were identified. This study reports that the air mass trajectories associated with Afriski and Lesotho as a whole are very similar. The most common pathway of air mass trajectories transporting snow-bearing moisture to Lesotho was an inland trajectory from the northern regions of southern Africa. This pathway makes up 16.6% of all trajectories reported and is associated with the Angola Low, the Congo Air Boundary and the St. Helena High Pressure.

Research on Regional Innovation from a Structural Perspective：Take Chinese County-Level Areas as Examples

The county-level administrative unit serves as the fundamental building block of the national structure, yet there exists a dearth of comprehensive research on its influence on innovation development. Thus, drawing from a Structural perspective, this paper employs fuzzy-set qualitative comparative analysis to delve into the pivotal factors and conditions shaping county-level innovative development level across different periods from 2006 to 2020. The findings unveil: (1) The advancement of innovation and development at the county level necessitates the amalgamation of various factors. While the structures of different factors are not indispensable for fostering innovative development level. (2) County-level innovation and high development manifest in five configurational modes, classified as ‘human-industry’, ‘human-industry-information’, ‘industry-finance’, ‘human capital’ and ‘information-based’ types. (3) Across multi-period comparative analysis, the ‘human-industry’ configuration consistently emerges, indicating its significant impact on the county-level innovative development level. The trajectory of this configuration’s evolution represents the ‘dominant trajectory’. (4) The interaction pattern between human capital and industrial structure remains relatively stable throughout the evolution process, while human capital structure and information infrastructure exhibit a complementary relationship. This paper delves into potential avenues for enhancing county-level innovation development, offering fresh insights on bolstering innovation capabilities at the county level.

Bacteria and viruses and clinical outcomes of asthma-bronchiectasis overlap syndrome: A cohort study.

Despite the high prevalence of co-existing bronchiectasis and asthma (asthma-bronchiectasis overlap syndrome [ABOS]), little is known regarding the dominant pathogens and clinical correlates. To investigate the bacteria and viruses which differentially dominate in ABOS (including its subtypes) compared with bronchiectasis alone, and determine their relevance with bronchiectasis severity and exacerbations. This was a prospective observational cohort study conducted between March 2017 and August 2023. We included 81 patients with ABOS and 107 patients with bronchiectasis alone. At steady-state baseline, patients underwent comprehensive assessments and sputum collection for bacterial culture and viral detection (quantitative polymerase-chain-reaction). Patients were followed-up to record exacerbation and spirometry. Patients with ABOS had significantly higher symptom burden and exacerbation frequency than those with bronchiectasis alone. Despite similar pathogen spectrum, the rate of bacteria-virus co-detection increased less substantially at acute exacerbations (AE) onset than at steady-state compared with bronchiectasis alone. Pathogenic bacteria (particularly Pseudomonas aeruginosa) were detected fairly common (exceeding 50%) in ABOS and were associated with greater severity of bronchiectasis when stable and conferred greater exacerbation risks at follow-up. Viral but not bacterial compositions changed substantially at AE onset compared with clinical stability. Higher blood eosinophil count, moderate-to-severe bronchiectasis and non-atopy were associated with higher odds of bacterial, but not viral, detection (all p<0.05). Detection of bacteria or virus is associated with bronchiectasis severity or clinical outcomes in ABOS. This highlights the importance of integrating sputum microbial assessment for ascertaining the dominant pathophysiology (atopy vs. infection) and longitudinal trajectory prediction in ABOS.

Large deviations for trajectory observables of diffusion processes in dimension d > 1 in the double limit of large time and small diffusion coefficient

For diffusion processes in dimension d > 1, the statistics of trajectory observables over the time-window [0,T] can be studied via the Feynman–Kac deformations of the Fokker–Planck generator, which can be interpreted as Euclidean non-Hermitian electromagnetic quantum Hamiltonians. It is interesting to compare the four regimes corresponding to the time T, either finite or large, and to the diffusion coefficient D, either finite or small. (1) For finite T and finite D, one needs to consider the full time-dependent quantum problem that involves the full spectrum of the Hamiltonian. (2) For large time T→+∞ and finite D, one only needs to consider the ground-state properties of the quantum Hamiltonian to obtain the generating function of rescaled cumulants and to construct the corresponding canonical conditioned processes. (3) For finite T and D → 0, one only needs to consider the dominant classical trajectory and its action satisfying the Hamilton–Jacobi equation, as in the semi-classical Wentzel–Kramers–Brillouin (WKB) approximation of quantum mechanics. (4) In the double limit T→+∞ and D → 0, the simplifications in the large deviations in TD of trajectory observables can be analyzed via the two orders of limits, i.e. either from the limit D → 0 of the ground-state properties of the quantum Hamiltonians of (2), or from the limit of long classical trajectories T→+∞ in the semi-classical WKB approximation of (3). This general framework is illustrated in dimension d = 2 with rotational invariance.

Synergic use of in-situ and remote sensing techniques for comprehensive characterization of aerosol optical and microphysical properties

We report on importance of conducting comprehensive studies of atmospheric aerosol particles, which cannot be done if information from various complementary sensors is unavailable. We present an example for such application and recommend on the types of sensors that should be used in view of the ACTRIS and RI-URBANS new strategies for monitoring at supersites. Although active and passive remote sensing data was not available in continuous mode, we show that synergic use of them with in-situ observations allows for comprehensive study of temporal and height-resolved distribution of aerosol in the lower troposphere and it can be successfully combined to assess biomass burning impact on air quality and optical properties.The analysed period was divided into three episodes based on the measured black carbon (BC) concentration and the prevailing wind direction. The dominant 72-h backward trajectories were ending in western Europe, mid-Atlantic and western Russia, respectively, The in-situ measured mass concentrations of BCtotal and BC apportioned to biomass burning as well as particulate matter (PM) concentrations in accumulation mode were twice higher during the first and last episodes compared to the second episode, representing long-range transport from different source regions. The obtained complementary surface, column-integrated, and layer-derived size distributions and other parameters demonstrate the added value of multisensor analyses.

Settling and transport properties of grass carp and silver carp eggs in the water-hardened phase: Implications for resource protection and invasion control during early life period

Grass carp and silver carp eggs have no swimming ability in the water-hardened phase and need to drift for tens or even hundreds of hours before complete incubation. A full comprehensive understanding of the settling and transport properties of eggs is crucial for the resource protection and invasion control of Four Major Chinese Carps (FMCCs) during their early life stages. Artificial eggs have been used extensively in previous field and flume experiments; however, our understanding of the settling and transport properties of real eggs in the water-hardened phase remains limited. In the present study, a series of column and flume experiments were conducted in stagnant and moving water, respectively. In light of the differences in settling characteristics, caution should be exercised when applying research results obtained from artificial eggs having the closest diameter and specific gravity as real eggs. Compared with grass carp and silver carp eggs in the water-hardening phase, egg diameters in the water-hardened phase were 36% and 33% greater, respectively, and egg hydrostatic settling velocities were 31% and 40% lower, respectively. Significant interspecific differences between the two species exist in terms of egg size and hydrostatic settling velocity. Based on linear mixed effects analysis of dominant transport trajectories and regression analysis between suspending rate and flow velocity, 0.30 m/s can be considered as critical drifting velocity in uniform flow. Adaptive management schemes are discussed to promote resource protection and invasion control of FMCCs during the early life stages. The results of the present study enhance our understanding of drifting egg movement and provide insights that could facilitate the comprehensive management of FMCCs.

Time-Variation in Online Nonconvex Optimization Enables Escaping From Spurious Local Minima

A major limitation of online algorithms that track the optimizers of time-varying nonconvex optimization problems is that they focus on a specific local minimum trajectory, which may lead to poor spurious local solutions. In this article, we show that the natural temporal variation may help simple online tracking methods find and track time-varying global minima. To this end, we investigate the properties of a time-varying projected gradient flow system with inertia, which can be regarded as the continuous-time limit of (1) the optimality conditions for a discretized sequential optimization problem with a proximal regularization and (2) the online tracking scheme. We introduce the notion of the dominant trajectory and show that the inherent temporal variation could reshape the landscape of the Lagrange functional and help a proximal algorithm escape the spurious local minimum trajectories if the global minimum trajectory is dominant. For a problem with twice continuously differentiable objective function and constraints, sufficient conditions are derived to guarantee that no matter how a local search method is initialized, it will track a time-varying global solution after some time. The results are illustrated on a benchmark example with many local minima.

Real-time correlators in chaotic quantum many-body systems

We study real-time correlators $\ensuremath{\langle}\mathcal{O}(\mathbf{x},t)\mathcal{O}(0,0)\ensuremath{\rangle}$ of local operators in chaotic quantum many-body systems. These correlators show universal structure at late times, determined by the geometry of the dominant operator-space Feynman trajectories for the evolving operator $\mathcal{O}(\mathbit{x},t)$. These trajectories, which involve the operator contracting to a point at both the initial and final time, are qualitatively different from those that dominate the out-of-time-order correlation function. In the absence of conservation laws, local correlations decay exponentially: $\ensuremath{\langle}\mathcal{O}(\mathbf{x},t)\mathcal{O}(0,0)\ensuremath{\rangle}\ensuremath{\sim}exp(\ensuremath{-}{s}_{\text{eq}}\phantom{\rule{0.16em}{0ex}}r(\mathbit{v})\phantom{\rule{0.16em}{0ex}}t)$, where $\mathbit{v}=\mathbit{x}/t$ defines a ray in spacetime, and $r(\mathbit{v})$ is a rate function associated with this ray. We express $r(\mathbit{v})$ in terms of cost functions for various spacetime structures. In $1+1\mathrm{D}$ the operator histories can exhibit a phase transition at a critical value ${v}_{c}$ of the ray velocity, which leads to a singular behavior in $r(\mathbit{v})$. At low velocities, the dominant Feynman histories are ``fat'': The operator grows to a size of order ${t}^{\ensuremath{\alpha}}$ (with $\ensuremath{\alpha}=1/2$ in the simplest case) before contracting to a point again. At high velocities the trajectories are ``thin'': The operator always remains of order-one size. In a Haar-random quantum circuit, this transition maps to a simple binding transition for a pair of random walks, which represent the left and right spatial boundaries of the operator. In higher-dimensional systems, thin trajectories always dominate. We discuss the circumstances in which the butterfly velocity ${v}_{B}$ can be deduced from a time-ordered two-point function, rather than the out-of-time ordered correlator. In the random circuit, correlators may also be computed in the framework of an effective Ising-like statistical mechanics model: we describe this calculation, as well as a special feature of the weights in the case of a $1+1\mathrm{D}$ Haar-random brickwork circuit. The present paper addresses lattice models, but also suggests the possibility of morphological phase transitions for real-time Feynman diagrams in continuum quantum field theories.

Tracking sources of PM10 emissions and deposition in the industrial city of Ostrava, Czech Republic: A carbonaceous δ13C-based approach

The sources of airborne particulate matter (PM10) emissions in Ostrava, Czech Republic, were investigated. Emphasis was placed on their organic carbon (OC) and elemental carbon (EC) contents, and their carbon stable isotope composition, δ13C. Emission sources were identified using OC-δ13C and concentration values. To track the extent of long-term deposition, these sources were also identified using the black carbon (BC) δ13C values of soil samples. At all sampling sites, wind flow is predominantly (65–80%) bidirectional in either SW-NE or NE-SW trajectories. Source apportionment along these dominant airflow trajectories was calculated from an isotopic 13C mass balance, and according to differences in the OC content and δ13C values of PM10. Determined emission sources are: (i) combustion of Silesian hard coal (δ13C = −24.5‰); (ii) local Ostrava coal combustion (δ13C = −25.5 to −26‰), automotive emissions (δ13C = −26.5‰), and biogenic particles (δ13C = −28 to −28.5‰). Winter emissions (mean OC concentrations from 12 to 25 μg m−3) originated mostly from coal combustion (80%) in domestic and industrial point sources. Differences were ascribed to automotive emissions. Ostrava is located near the Czech-Polish border, transboundary emissions are transported under a southbound wind flow that transported from 40 to 80% of the collected PM10. Summer emissions were lower (mean OC concentration from 6 to 8 μg m−3). Automotive emissions accounted for up to 40%, whilst biogenic production accounted for 60%. Absence of 13C isotope data of secondary OC (SOC 1.2–1.5 μg m−3) increases uncertainty in our source apportionment in summer; when SOC could comprise >20% of total OC. Contribution of SOC to the winter-measured OC is much lower (5–10%), and has no significant effect on mass balances. The upper soil layer analyses revealed long-term deposition of the same emissions sources. We conclude that the stable δ13C isotope values of OC and EC are useful for discriminating against local sources of PM10 pollution in relatively small urban areas, containing discrete polluting sources. Such a simplified approach can be easily standardized and implemented to manage regulatory compliances in the increasingly commoditized carbon offset market.

Long-term term effect of bedding and vegetation control on dominant height of slash pine plantations in the southeastern United States

The long-term effect of bedding and vegetation control on dominant height in slash pine (Pinus elliottii Engelm) was evaluated using data from a site preparation study established in 1979 by the Plantation Management Research Cooperative (PMRC) at the University of Georgia in the southeastern United States. The experimental design corresponded to a 2 × 2 factorial with replications over 16 different locations, distributed over the natural range of slash pine. Our results show sustained gains in dominant height, reaching a peak increment around age 11, with values of 1.0, 2.2, and 2.9 m of average gain for the bedding, vegetation control, and combined (Bed + Veg.) treatments, respectively. At age 31, an approximate rotation age, these gains were no longer present for the bedding treatment, whose dominant height trajectory converged to the values of the untreated control and decreased to 1.9 m for both treatments involving competing vegetation control. These results are similar to previously reported results in the literature for these two treatments in slash pine. We proposed a modified Chapman-Richards type model to describe these trends. In this modeling approach, the base equation was modified using a set of dummy variables in the form of power functions to reflect the treatment effect. Both treated and untreated plots were simultaneously fitted in this model, and contrarily to the most common approach of adding an independent factor to a base model to account for the treatment response, our model does not assume the control plot to be error free. The flexibility of the proposed model allows practitioners to include observed gains in dominant height from these treatments. A slash pine site index model using the algebraic difference approach (ADA) was also derived.

Identifying quality of life outcome patterns to inform treatment choices in ischemic cardiomyopathy

BackgroundThe Surgical Treatment for Ischemic Heart Failure (STICH) trial found that routine use of coronary artery bypass surgery (CABG) improved mean quality of life (QoL) scores relative to guideline-directed medical therapy (GDMT) in patients with ischemic cardiomyopathy. However, mean differences in QoL scores do not provide what patients want to know when facing a high-risk/high-benefit treatment choice. MethodsWe analyzed Kansas City Cardiomyopathy Questionnaire (KCCQ) Overall Summary scores in CABG and GDMT patients over 36 months using a combination of statistical methods to group QoL data into clinically relevant outcome patterns (phenotype trajectories) and to then identify the main baseline predictors of each phenotype. QoL outcome phenotypes were developed using mixture models to define the dominant phenotype trajectories present in STICH QoL data. Logistic regression models were used to predict each patient's probability of achieving each outcome pattern with each treatment. ResultsIn STICH, 592 patients underwent CABG and 607 were managed with GDMT. Our analyses identified 3 phenotype trajectory patterns in both treatment groups. Two of the 3 trajectories showed improving patterns, and were classified as “good QoL trajectories,” seen in 498 (84.1%) CABG and 449 (73.9%) GDMT patients. Defining a consequential CABG-GDMT treatment difference as a >10% higher absolute predicted probability of belonging to good QoL trajectories, 277 (23.5%) patients were more likely to have good outcome with CABG while 45 (3.8%) patients were more likely to have a good outcome with GDMT. For 644 (54.7%) patients, CABG and GDMT probabilities of a good outcome were within 5% of each other. ConclusionsThe pattern of QoL outcomes after CABG compared with GDMT in STICH followed 3 main phenotypic trajectories, which could be predicted based on individual baseline features. Patient-specific predictions about expected QoL outcomes with different treatment choices provide an intuitive framework for personalizing patient decision making.

Process mining the trajectories for adolescent-to-mother violence from longitudinal police and health service data.

The aim was to discover longitudinal trajectories and patterns of events preceding adolescent-to-mother family violence in a geographic locale in Australia. This was a retrospective case series. Routinely collected administrative data were sourced and linked from police and health service electronic records for adolescents born between 1994 and 2006 who had been issued a legal action for a family violence-related offence (n=775). A time-stamped log of events from birth (where available) was created. Process mining was employed to discover dominant events and trajectories in the log from birth until adolescents' first recorded offence against their mother. Most adolescents in the case series offended against mothers (63%, n=486). Trajectory analysis confirmed dominant early childhood events were repeated exposure to parental intimate partner violence (P-IPV), parental drug and/or alcohol use and neglect. During early adolescence, pathways towards adolescent-to-mother violence involved other offending, drug and/or alcohol use and mental health service contact. The trajectories evidenced provide a complex picture of the emergence of adolescent-to-mother violence. From an early intervention perspective, it was found that many children and mothers were identifiable from police records in early childhood, at an average age of 35months. Responses to adolescent family violence need to acknowledge the impact of childhood trauma and emerging mental health problems, along with strategies to mitigate the effect of P-IPV on mother-to-child relationships. This is the first large-scale study to specifically examine trajectories from birth for adolescents who engage in violence towards mothers. The findings have important implications for the design and delivery of early intervention childhood services and interagency collaboration in nursing and midwifery services. In early adolescence, contact with mental health services represents an opportunity for screening and support interventions. This is an important preventive timepoint for family violence, adolescent drug and alcohol use and other offences.

509 A single-cell transcriptional gradient in human cutaneous memory T cells suppresses pathogenic Th17 inflammation

Cutaneous psoriasis improves with targeted pathway inhibition, but the homeostatic mechanisms that normally restrain chronic tissue inflammation remain incompletely understood. We single-cell profiled human psoriatic and normal skin resident memory T cell transcriptomes to reveal a gradated transcriptional program of coordinately regulated inflammation-suppressive genes. This program, which is sharply suppressed in psoriatic lesional skin, strikingly restricts Th17 cytokine and other inflammatory mediators on the single-cell level. We have recently shown CRISPR-based deactivation of core components of this inflammation-suppressive program replicates the elevated IL17F, IL26, and IFNG in psoriatic memory T cells deficient in these transcripts, functionally validating their influence. Combinatoric expression analysis establishes a dominant single-cell trajectory of increasingly inflamed psoriatic resident memory T cells but can also distinguish the influence of individual suppressive program transcripts on specific inflammatory mediators. Finally, we find that therapeutic IL23 blockade reduces Th17 cell frequency in psoriatic skin but fails to re-establish expression of this inflammation-suppressive transcriptional program, illustrating how treated lesions may be primed for recurrence upon withdrawal of treatment.

Trajectories of prices in generic drug markets: what can we infer from looking at trajectories rather than average prices?

BackgroundWell-functioning competitive markets are key to controlling generic drug prices. This is important since over 90% of all drugs sold in the US are generics. Recently, there have been examples of large price increases in the generic market.MethodsThis paper examines price trajectories for generic drugs using a group-based trajectory modelling approach (GBTM). We fit the model using quarterly price information in the IBM MarketScan claims database for the past decade.ResultsWe identify three dominant price trajectories for this period: rapid increase trajectories, slow decline and rapid decline. Most generic drugs show a slow or a rapid decline in price trajectories. However, around 17% of all generic drugs show rapid price increase trajectories.ConclusionsAs Congress is exploring an excise tax on drugs whose list price increases faster than the rate of inflation, we discuss what drugs would be most likely to be affected by this law.

Understanding circular economy transitions: The case of circular textiles

AbstractThe circular economy has been proposed to transform global textile supply chains which are currently challenged by a complex nexus of sustainability issues related to the dominant fast fashion trend. Research on circular economy in the textile sector often focuses on businesses or consumers as key enablers incircular transitions, yet it treats them as independent entities and thereby neglects the study of interactions that can provide insight at the systems level. The proclaimed “circular textile mission” in the Netherlands setting a national target for 100% circularity by 2050 is used as case study to address this research gap. We explore the circular textile transition processes found in the context of the Dutch mission and compare the development and interactions among various technical and non‐technological solutions produced by engaged actor constellations for assessing key factors driving and blocking the overall mission fulfilment. To these ends, we derive a theoretical framework based on innovation system theory and conceptualize the Dutch circular textile transition as aMission‐oriented Innovation System(MIS). Analyzing the structure and functioning of the Dutch mission‐oriented innovation system, we show that (1) there is a good match between the formal Dutch circular textile mission and system actor perceptions; (2) system actors have formed structures around three dominantsolution trajectoriesin the Dutch system: secondhand, mechanical recycling, and chemical recycling; (3) these trajectories expose distinct key virtuous and vicious cycles, which characterize (4) the entire system as formative. Overall, the secondhand trajectory shows most developed structures and most positive dynamics, chemical recycling carries most technological breakthrough potential, whereas mechanical recycling is a mature technology but lacks market demand and supply. We compare the three solution trajectories, discuss the disruptive nature of the Dutch circular textile transition, and suggest installing Extended Producer Responsibility (EPR) as a potential intervention for accelerating system transformation. The study concludes with reflections on the case learnings and considerations for further research on mission‐oriented innovation systems.

Teacher new professionalism in the light of the personality polysubjectivity development

Introduction. The relevance of the study is due to the high requirements of the society on the professionalism of a modern teacher who has to perform the activity under flux and ambiguity conditions, to solve new and occasional tasks, to design and implement personal and professional routes in accordance with the changing professional challenges and real-life situations. The research is aimed to perceive the essence of the concept “new teacher professionalism” in the context of the diversity of teacher professional trajectories and in the aspect of personality polysubjectivity. The empirical problem is to diagnose the dominant professional trajectories of future teachers at the final stage of the university training course (in the “Self- real” and “Self-ideal” spheres). Materials and methods. 5th-year students (186 persons) of Belgorod State National Research University took part in the survey. The study is based on analyses of students' reflective judgments quality data concerning new professionalism and poly-subjectivity phenomena, methods of mathematical statistics (Pearson symmetric correlation coefficient). Results. The article presents the features of teacher professionalism associated with the process of a teacher polysubjectivity development as an ability to take an active subjective position in multidimensional professional sphere. The results showed the dominant traditional professional trajectories “subject teacher” (average point – 4.07), and “teacher-educator” (4.00) in the “Self-real” sphere of future teachers, as well as the “digital teacher” (3.86) trajectory due to the transition of the university education process to distance learning format in the pandemic conditions. The trajectories “teacher-mentor (coach)” (average point – 4.65), “teacher-educator” (4.53), “teacher-methodologist” (4.51) and “media-teacher” (4.47) are specific for future teachers in the “Self-ideal” sphere. The professional trajectory “digital teacher” is mainly correlated to the contradiction “Self-real” – “Self-ideal” (r = 0.758, p=0.05). Conclusion. Teacher polysubjectivity integrates all the levels of teacher formation and development process, subject-field-driven features, professional values; it allows the teacher creating personal professional trajectory, which is the basis of new teacher professionalism.

Associations Between Incident Asthma With Comorbidity Profiles, Night Sleep Duration, and Napping Duration Trajectories: A 7-Year Prospective Study.

Objectives: We aim to determine whether comorbidity profiles, night sleep duration, and napping duration trajectories were associated with incident asthma in Chinese adults. Methods: A total of 7,655 community-dwelling individuals were included in this study. Latent class/profile analysis(LCA/LPA) identified comorbidity profiles, night sleep duration, and napping duration trajectories. A generalized additive model with binomial regression assessed the associations between incident asthma with sleep trajectories. Results: During a 7-year follow-up period, 205 individuals were newly diagnosed with asthma. LPA identified four trajectories of night sleep duration: dominant short (n = 2,480), dominant healthy-long (n = 1,405), long decreasing (n = 1875), and short increasing (n = 1895). We also found three trajectories of napping duration: short increasing (n = 3,746), stable normal (n = 1,379), and long decreasing (n = 2,530). We found three comorbidity profiles: dominant heart diseases or risks (n = 766), multiple disorders (n = 758), and minimal or least disorders (n = 6,131). Compared with dominant short night sleep duration, three other trajectories were associated with significantly decreasing incident asthma. Minimal or least disorders profile was associated with a significant reduction of new-onset asthma than two other comorbidity profiles in dominant short night sleep duration. Conclusion: Our findings suggested that a dominant short night sleep duration trajectory potentially increases incident asthma in Chinese adults.