bluuebunny/crossref_metadata_2025 huggingface dataset:
Identifying Culturally Relevant School Support Profiles and Links to Academic Functioning in Adolescents
Authors: Hernández Maciel M. , Kornienko Olga , Figueroa Jennifer M. , Coker Marita , Paredes Karenina , Toth Caroline , Carrillo Julia P. , Rogers Adam A. , Ha Thao
Published: October 2024

There is limited knowledge about patterns of adolescents’ experiences of general teacher support and support for critical consciousness and cultural competence development in school settings, which are key experiences proposed to promote academic functioning. Furthermore, less is known about potential developmental and ethnic-racial differences in these patterns. Using a person-centered approach, this study examined culturally relevant school support profiles in a sample of sixth and ninth grade students (N = 717; 49.9% girls) from the U.S. Southwest. Participants were aged 10 to 18 years (M = 13.73; SD = 1.54) and were ethnoracially diverse (31.8% Hispanic/Latinx, 31.5% Multiethnic, 25.7% White, 7.3% Black or African American, 1.4% Asian American or Pacific Islander, 1.4% American Indian or Alaska Native, and 1% Arab, Middle Eastern, or North African). Four culturally relevant school support profiles were identified: (1) low general, devoid cultural & critical support; (2) moderate general, moderate cultural, & devoid critical support; (3) high general, moderate cultural & critical support; and (4) high general, cultural, & critical support. Youth in the high general, cultural, & critical support profile had higher concurrent emotional and behavioral engagement. No significant differences were found between early (6th grade) and middle adolescent (9th grade) youth, pointing to the relevance and associations of the identified profiles across development. One significant difference emerged when comparing White and ethnoracially minoritized youth; among White youth, those in the high general, cultural, & critical support and high general, moderate cultural & critical support profiles had higher academic expectations than those in the low general, devoid cultural & critical support profile. The discussion focuses on characterizing heterogeneous and culturally relevant school support profiles, the associations between these profiles and indicators of academic functioning for ethnoracially diverse youth to advance developmental theory and the importance of promoting culturally relevant school support practices to foster developmental competencies among youth.
Effects of chromatic dispersion on single-photon temporal wave functions in quantum communications
Authors: Czerwinski Artur , Cai Xiangji , Haddadi Saeed
Published: October 2024

In this study, we investigate the effects of chromatic dispersion on single-photon temporal wave functions (TWFs) in the context of quantum communications. Departing from classical beam analysis, we focus on the temporal shape of single photons, specifically exploring generalized Gaussian modes. From this foundation, we introduce chirped and unchirped Gaussian TWFs, demonstrating the impact of the chirp parameter in mitigating chromatic dispersion effects. Furthermore, we extend our investigation to time-bin qubits, a topic of ongoing research relevance. By exploring the interplay of dispersion effects on qubit interference patterns, we contribute essential insights to quantum information processing. This comprehensive analysis considers various parameters, introducing a level of complexity not previously explored in the context of dispersion management. We demonstrate the relationships between different quantities and their impact on the spreading of TWFs. Our results not only deepen the theoretical understanding of single-photon TWFs but also offer practical guidelines for system designers to optimize symbol rates in quantum communications.
How unemployment benefit duration shapes startup motivation and growth
Authors: Camarero Garcia Sebastian , Murmann Martin
Published: October 2024

Business creation is economically important, and unemployment precedes the creation of a substantial share of new firms. Yet, most research has focused on analyzing the effects of unemployment insurance policies on re-employment outcomes, ignoring self-employment. In this paper, we analyze how the potential duration of unemployment benefits, a fundamental design choice of unemployment insurance systems, affects whether new firms are founded out of opportunity or necessity and their growth potential. To this end, we construct a comprehensive dataset on German firm founders that links administrative social insurance information with business survey data. Exploiting reform and age-related exogenous variation in the potential duration of unemployment benefits, we find that longer potential benefit duration implies longer actual unemployment and, as a consequence, more necessity entrepreneurship and worse startup outcomes in terms of sales and employment growth. We explain this overall effect of potential benefit duration through a mix of compositional and individual-level duration effects. Our findings underline that new firms started out of unemployment are a highly heterogeneous group and suggest that the (optimal) design of unemployment insurance systems has important externalities on whether innovation- and growth-oriented firms are started out of unemployment.
The Rise of Tech Ethics: Approaches, Critique, and Future Pathways
Authors: Frahm Nina , Schiølin Kasper
Published: October 2024

In this editorial to the Topical Collection “Innovation under Fire: The Rise of Ethics in Tech”, we provide an overview of the papers gathered in the collection, reflect on similarities and differences in their analytical angles and methodological approaches, and carve out some of the cross-cutting themes that emerge from research on the production of ‘Tech Ethics’. We identify two recurring ways through which ‘Tech Ethics’ are studied and forms of critique towards them developed, which we argue diverge primarily in their a priori commitments towards what ethical tech is and how it should best be pursued. Beyond these differences, we observe how current research on ‘Tech Ethics’ evidences a close relationship between public controversies about technological innovation and the rise of ethics discourses and instruments for their settlement, producing legitimacy crises for ‘Tech Ethics’ in and of itself. ‘Tech Ethics’ is not only instrumental for governing technoscientific projects in the present but is equally instrumental for the construction of socio-technical imaginaries and the essentialization of technological futures. We suggest that efforts to reach beyond single case-studies are needed and call for collective reflection on joint issues and challenges to advance the critical project of ‘Tech Ethics’.
Immersive visualization in infrastructure planning: Enhancing long-term resilience and sustainability
Authors: Ismael Dalya
Published: October 2024

Infrastructure decisions today significantly impact future generations' quality of life, especially as severe storms and rising sea levels increasingly threaten communities across the United States. Decision-makers at all levels, including those involved in disaster prevention and response, must address climate change. However, those in infrastructure design and construction often prioritize immediate gains over long-term resilience. Engineering teams typically employ decision tools to manage complexity, but these methods may not highlight the long-term consequences of their choices. This study tests whether integrating Virtual Reality (VR) technology with engineering decision-making tools, can enhance engineers’ ability to visualize the future impacts of their infrastructure projects. A group of engineering students (n = 56) was given a case study on updating roadwork systems in Norfolk, Virginia, an area vulnerable to flooding. The control group viewed images depicting current and future conditions of sea-level rise (year 2100), while the intervention group experienced the same information but through an immersive VR scenario. Participants selected achievement levels for each credit using the Envision system, with total points reflecting the resilience and sustainability of decisions. The results indicate that participants who engaged with the VR experience, achieved higher scores than those who received the images. The results also indicate a variation in VR's impact based on political affiliation, with Democrats responding more positively to the VR experience than Republicans. The findings highlight that integrating VR into decision-making tools can be a crucial advancement in infrastructure planning, enabling engineers to make more informed, sustainable choices for a resilient future.
A comprehensive review on automatic hate speech detection in the age of the transformer
Authors: Ramos Gil , Batista Fernando , Ribeiro Ricardo , Fialho Pedro , Moro Sérgio , Fonseca António , Guerra Rita , Carvalho Paula , Marques Catarina , Silva Cláudia
Published: October 2024

The rapid proliferation of hate speech on social media poses significant challenges to maintaining a safe and inclusive digital environment. This paper presents a comprehensive review of automatic hate speech detection methods, with a particular focus on the evolution of approaches from traditional machine learning and deep learning models to the more advanced Transformer-based architectures. We systematically analyze over 100 studies, comparing the effectiveness, computational requirements, and applicability of various techniques, including Support Vector Machines, Long Short-Term Memory networks, Convolutional Neural Networks, and Transformer models like BERT and its multilingual variants. The review also explores the datasets, languages, and sources used for hate speech detection, noting the predominance of English-focused research while highlighting emerging efforts in low-resource languages and cross-lingual detection using multilingual Transformers. Additionally, we discuss the role of generative and multi-task learning models as promising avenues for future development. While Transformer-based models consistently achieve state-of-the-art performance, this review underscores the trade-offs between performance and computational cost, emphasizing the need for context-specific solutions. Key challenges such as algorithmic bias, data scarcity, and the need for more standardized benchmarks are also identified. This review provides crucial insights for advancing the field of hate speech detection and shaping future research directions.
Kompetenzen von First Generation Professionals: Kompetenzorientierte Reflexion von Karrierewegen
Authors: Huesmann Monika
Published: October 2024

First Generation Professionals erleben Probleme und Schwierigkeiten beim Eintritt und der Karriere in Organisationen. Allerdings entwickeln sie auch Kompetenzen im Zusammenhang mit ihrer sozialen Herkunft. In einer empirischen Studie mit 27 Interviews werden Kompetenzen inhaltsanalytisch ausgewertet. Anhand der Ergebnisse werden klassische defizitorientierte Maßnahmen kritisch reflektiert und kompetenzorientierte Ansätze diskutiert.

Praktische Relevanz

Soziale Herkunft wird im Diversity Management zunehmend thematisiert. Es werden sowohl Probleme beim Einstieg in den Beruf als auch auf dem Karriereweg festgestellt. Häufig zielen die Handlungsempfehlungen vor allem auf den Ausgleich von Defiziten. Allerdings werden dabei die Kompetenzen, die First Generation Professionals auf ihrem Bildungs- und Berufsweg auch aufgrund ihrer sozialen Herkunft entwickeln oft nicht gesehen und daher auch nicht in den Organisationen nutzbar gemacht. In dieser Studie werden berufsbezogene Kompetenzen analysiert und kompetenzorientierte Ansätze diskutiert, die in Organisationen umgesetzt werden können.
Postdigital Citizen Science and Humanities: Dialogue from the Ground
Authors: Hayes Sarah , Jandrić Petar , la Velle Linda , Earle Sarah , Šrajer Filip , Dragić Zoran , Kubat Safet , Peraica Ana , Švraka Deni , Popović Sara , Mumelaš Dolores , Pospiš Daniella , Vujanović Barbara , Lugović Sergej , Jopling Michael , Tolbert Sara , Watermeyer Richard
Published: October 2024

Whilst much global research takes place in universities, many researchers in the sciences and humanities do not work within these institutions. Some citizen researchers run their own companies or provide independent consultancy, having left their roles in universities through a conflict of values, where they experienced hostile, hierarchical, or restrictive practices. In a world where many postdigital and biodigital challenges do not sit neatly under one discipline or sector, collaboration with community experts to research potential solutions is crucial, as demonstrated during the Covid-19 pandemic. Universities count knowledge exchange partnerships as a key part of their activities, linked to the United Nations Sustainable Development Goals, yet a closer look at how this works in practice reveals different forms of ‘lockdowns’ that prevent equitable research collaborations. In this collective article, we offer a postdigital perspective on citizen science and humanities research from the ground. This includes a provocation to knowledge-producing institutions via recommendations that emerged from our collective citizen researcher workshop held in Zagreb in Spring 2024. There is now a pressing need to review institutional policies and practices around citizen research, towards more inclusive knowledge exchange partnerships, if we are to collaborate successfully to address many global challenges.
Decoupled fungal and bacterial functional responses to biochar amendment drive rhizosphere priming effect on soil organic carbon mineralization
Authors: He Chao , Harindintwali Jean Damascene , Cui Hao , Zheng Weiwei , Zhu Qingyang , Chang Scott X. , Wang Fang , Yang Jingping
Published: October 2024

The application of biochar to soil is widely recognized as a promising strategy for enhancing the accumulation and stability of soil organic carbon (SOC), which is crucial in mitigating climate change. However, the influence of interactions between plants and biochar on soil microbial communities and their involvement in SOC mineralization and stability remains unclear. This understanding is essential for optimizing carbon (C) sequestration in systems involving plants, soil, and biochar. In this study, employing a 13C natural abundance approach, we investigated the effect of biochar on the maize rhizosphere priming effect (RPE) in paddy soil. We also examined alterations in microbial communities and functional genes related to C degradation and fixation. Over the 99 days of maize growth, biochar application increased RPE and total SOC while decreasing dissolved organic C. It also elevated soil pH, resulting in shifts in fungal and bacterial community structure, favoring oligotrophic species. Fungal and bacterial assemblies were dominated by deterministic and stochastic processes, respectively. While the abundance of fungal guilds varied irregularly, bacterial guilds were uniformly enriched under biochar-plant interactions. Functional traits such as ecoenzymatic activities, bacterial guilds, and functional genes predominantly affected RPE under biochar application. Bacterial functional genes associated with C degradation and fixation were concurrently enhanced with biochar application. Our results indicate that interactions between plants and biochar can enhance native SOC mineralization and accumulation in a short timeframe by modulating functional traits of soil microorganisms, particularly the bacterial community involved in C degradation and fixation.

Graphical Abstract
Temperature Effects on Traffic Load-Induced Accumulating Strains in Flexible Pavement Structures
Authors: Vámos Máté János , Szendefy János
Published: October 2024

Rutting is a major distress mode in flexible pavements, results from the repetitive loading caused by traffic movement. Pavement deformation consists of both recoverable (elastic) and unrecoverable (plastic) components. The continuous movement of vehicles contributes to the overall deformation in the flexible pavement system, involving all pavement components. In regions with hot climates or in the hot summer season, rutting tends to be more prominent due to the substantial reduction in the viscosity of the asphalt binder. This decrease in viscosity, which is inversely linked to rutting, occurs as temperatures rise, leading to a heightened susceptibility of the Hot Mix Asphalt (HMA) blend to rut formation. However, according to studies, a significant amount of permanent deformation takes place in the unbound layers beneath the asphalt course, it is therefore essential to prioritize attention on these layers. Temperature exerts besides viscosity a substantial impact on asphalt stiffness, leading to the transfer of higher vertical deviatoric stresses to the unbound layers beneath the asphalt course (base, subbase, subgrade). This research presents a study integrating the High Cycle Accumulation (HCA) model into a laminar model to determine permanent deformations in the unbound granular layer of flexible pavements and taking into account the temperature dependent stiffness of asphalt. Rutting depths at the end of the design lifetime were computed, accounting for seasonal stiffness variations. It was shown that the softer asphalt behavior significantly increases the development of ruts in the underlaying soil layers. The findings were compared with results obtained from mean annual temperature and the typical equivalent asphalt stiffness utilized in fatigue tests. Additionally, an analysis was conducted to assess whether the timing of road implementation influences settlements throughout the design lifetime. The results suggest that the sequence of seasons is most relevant during the first year of service, showing a distinct effect at that time. However, with a higher number of axle passes, the initial differences fade away, and the curves start to merge.
Measuring global urban complexity from the perspective of living structure
Authors: Xue Andy Jingqian , Huang Chenyu , Jiang Bin
Published: October 2024

As urban critic Jane Jacobs conceived, a city is essentially the problem of organized complexity. What underlies the complexity refers to a structural factor, called living structure, which is defined as a mathematical structure composed of hierarchically organized substructures. Through these substructures, the complexity of cities, or equivalent to the livingness of urban space (L), can be measured by the multiplication the number of cities or substructures (S) and their scaling hierarchy (H), indicating that complexity is about both quantity of cities and how well the city is organized hierarchically. In other words, complexity emerges from a hierarchical structure where there are far more small cities or substructures than large ones across all scales, and cities are more or less similar within each individual hierarchy. In this paper, we conduct comprehensive case studies to investigate urban complexity on a global scale using multisource geospatial data. We develop an efficient approach to recursively identifying all natural cities with their inner hotspots worldwide through connected component analysis. To characterize urban complexity, urban space is initially represented as a hierarchy of recursively defined natural cities, and all the cities are then represented as a network for measuring the degree of complexity or livingness of the urban space. The results show the Earth’s surface is growing more complex from an economic perspective, and the dynamics of urban complexity are more explicit from nighttime light imagery than from population data. We further discuss the implications in city science, aiming to help create and recreate urban environments that are more resilient and livable by fostering organized complexity from the perspective of living structure.
Mapping coastal resilience: a Gis-based Bayesian network approach to coastal hazard identification for Queensland’s dynamic shorelines
Authors: Durap Ahmet
Published: October 2024

Coastal regions worldwide face increasing threats from climate change-induced hazards, necessitating more accurate and comprehensive vulnerability assessment tools. This study introduces an innovative approach to coastal vulnerability assessment by integrating Bayesian Networks (BN) with the modern coastal vulnerability (CV) framework. The resulting BN-CV model was applied to Queensland's coastal regions, with a particular focus on tide-modified and tide-dominated beaches, which constitute over 85% of the studied area. The research methodology involved beach classification based on morphodynamic characteristics, spatial subdivision of Queensland's coast into 78 sections, and the application of the BN-CV model to analyze interactions between geomorphological features and oceanic dynamics. This approach achieved over 90% accuracy in correlating beach types with vulnerability factors, significantly outperforming traditional CVI applications. Key findings include the identification of vulnerability hotspots and the creation of detailed exposure and sensitivity maps for Gold Coast City, Redland City, Brisbane City, and the Sunshine Coast Regional area. The study revealed spatial variability in coastal vulnerability, providing crucial insights for targeted management strategies. The BN-CV model demonstrates superior precision and customization capabilities, offering a more nuanced understanding of coastal vulnerability in regions with diverse beach typologies. This research advocates for the adoption of the BN-CV approach to inform tailored coastal planning and management strategies, emphasizing the need for regular reassessments and sustained stakeholder engagement to build resilience against climate change impacts.

Recommendations include prioritizing adaptive infrastructure in high-exposure areas like the Gold Coast, enhancing flood management in Brisbane, improving socio-economic adaptive capacity in Redland, and maintaining natural defences in Moreton Bay. This study contributes significantly to the field of coastal risk management, providing a robust tool for policymakers and coastal managers to develop more effective strategies for building coastal resilience in the face of climate change.
A divide-and-conquer reconstruction method for defending against adversarial example attacks
Authors: Liu Xiyao , Hu Jiaxin , Yang Qingying , Jiang Ming , He Jianbiao , Fang Hui
Published: October 2024

In recent years, defending against adversarial examples has gained significant importance, leading to a growing body of research in this area. Among these studies, pre-processing defense approaches have emerged as a prominent research direction. However, existing adversarial example pre-processing techniques often employ a single pre-processing model to counter different types of adversarial attacks. Such a strategy may miss the nuances between different types of attacks, limiting the comprehensiveness and effectiveness of the defense strategy. To address this issue, we propose a divide-and-conquer reconstruction pre-processing algorithm via multi-classification and multi-network training to more effectively defend against different types of mainstream adversarial attacks. The premise and challenge of the divide-and-conquer reconstruction defense is to distinguish between multiple types of adversarial attacks. Our method designs an adversarial attack classification module that exploits the high-frequency information differences between different types of adversarial examples for their multi-classification, which can hardly be achieved by existing adversarial example detection methods. In addition, we construct a divide-and-conquer reconstruction module that utilizes different trained image reconstruction models for each type of adversarial attack, ensuring optimal defense effectiveness. Extensive experiments show that our proposed divide-and-conquer defense algorithm exhibits superior performance compared to state-of-the-art pre-processing methods.
Optimal annuitization under stochastic interest rates
Authors: Dillschneider Yannick , Maurer Raimond , Schober Peter
Published: October 2024

The decision about when and how much to annuitize is an important element of the retirement planning of most individuals. Optimal annuitization strategies depend on the individual’s exposure to annuity risk, meaning the possibility of meeting unfavorable personal and market conditions at the time of the annuitization decision. This article studies optimal annuitization strategies within a life-cycle consumption and portfolio choice model, focusing on stochastic interest rates as an important source of annuity risk. Closing a gap in the existing literature, our numerical results across different model variants reveal several typical structural effects of interest rate risk on the annuitization decision, which may however vary depending on preference specifications and alternative investment opportunities: When allowing for gradual annuitization, annuity risk is temporally diversified by spreading annuity purchases over the whole pre-retirement period, with annuity market participation starting earlier in the life cycle and becoming more extensive with increasing interest rate risk. Ruling out this temporal diversification possibility, as embedded in many institutional settings, incurs significant welfare losses, which are increasing with higher interest rate risk, together with larger overall demand for annuitization.
Thickness of Ruth Glacier, Alaska, and depth of its Great Gorge from ice-penetrating radar and mass conservation
Authors: Tober Brandon S. , Christoffersen Michael S. , Holt John W. , Truffer Martin , Larsen Christopher F.
Published: October 2024

Ruth Glacier is situated in the Central Alaska Range, with the Don Sheldon Amphitheater comprising much of its broad accumulation area, directly adjacent to North America's tallest mountain, Denali. From there it funnels through the ‘Great Gorge,’ flanked by steep valley walls reaching over 1500 m. We combine airborne and ground-based radar measurements of ice thickness with satellite-derived surface velocities to constrain ice flux above and below the gorge, and employ a mass conservation approach to estimate the glacier's thickness within the gorge. We measure ice thickness in the amphitheater to reach 950 m, and estimate centerline thickness in the gorge to range from 610 to 960 m. Our estimates are up to two times greater than those suggested by global models, and allow us to confirm that the Great Gorge rivals Hells Canyon as the deepest gorge in North America. We found that the geometry of the gorge prevents radar measurements of ice thickness there since returns from the subglacial valley walls would precede and potentially occlude nadir bed returns. The same may be true of other unmapped mountain glaciers; however, thickness may be determined using appropriately located flux gates where radar sounding is feasible, combined with mass conservation methods.
Color–emotion associations by speakers of Spanish and Mandarin in verbal and visual tasks: a comparison
Authors: Xu Mingshan , Zhu Jingtao , Benítez-Burraco Antonio
Published: October 2024

This study aims to determine if there are differences in color–emotion association between monolingual speakers of Spanish and Mandarin, depending on how colors are presented (verbally or visually). We tested two groups of 25 speakers of these two languages in two different tasks using the Geneva Emotion Wheel, which encompasses 20 types of emotions. In Task 1, 13 colors were presented to participants as color terms in their native language, whereas in Task 2 the same colors were presented as color patches from the Munsell chart. Participants were then asked to associate color terms or color patches to the set of emotion concepts (and intensities of emotion) in the Geneva Emotion Wheel. Overall, differences between languages were not significant, regarding either the type of emotion or individual dimensions of emotion (valence, arousal or power), although significant differences were observed for specific colors. Also, Spanish speakers tended to attribute higher intensity values and higher numbers of emotion values to colors. At the same time, speakers of both languages reacted similarly to color presentation, with color terms being associated with the same emotions as color patches, but eliciting stronger reactions with respect to intensity and the number of emotion values. Finally, we found less variability in color–emotion associations within the Spanish-speaking group. Overall, our study points to a mixed pattern of universality and culture-specificity regarding how colors are used for conveying emotions by people.
Material modernities: Tracing Janbai’s gendered mobilities across the Indian Ocean
Authors: Stephens Julia
Published: October 2024

This article uses techniques of microhistory to explore how Janbai, the third wife of Sir Tharia Topan, exerted economic, religious, and social influence in Indian Ocean networks. An Ismaili woman from a Gujarati trading family who lived in East Africa, Janbai lies outside of the social worlds that have dominated studies of Muslim modernity in South Asia, which centre on Sunni male professionals from North India. Janbai was illiterate and largely disconnected from textual debates about modernity. In fact, she was just the sort of woman that reformers castigated for their supposed attachment to religious superstitions and customary practices. In contrast, studying Janbai through an alternative frame of ‘material modernity’ reveals the complex biography of a women who neither conformed to the idealized ‘new’ woman, nor simply reproduced inherited practices. Instead, she navigated rapid social mobility, shifting geographies, and new technologies and institutions, particularly colonial law courts, in ways that echoed and departed from how women had long exercised agency. The article argues that scholars, by foregrounding textual archives and discursive analysis, have tended to reproduce the marginalization of women like Janbai. In contrast, looking to sources such as jewellery and photographs, and reading textual archives with greater attention to gendered patterns of consumption and investment, brings Janbai from the margins to the centre of our understanding of modernity. In addition to enriching our understanding of the lives of women, increased attention to materiality and visuality opens up critical new avenues for writing a more variegated history of Muslim modernity.
Developmental change, bricolage, and how a lot of things develop: Mechanisms and changes in attachment across the lifespan
Authors: Waters Everett , Waters Theodore E.A.
Published: October 2024

Under the leadership of its founding editor, Dante Cicchetti, Development and Psychopathology has been recognized for decades as the foremost journal integrating developmental theory and clinical research programs. Contributors have often highlighted the implications of attachment theory and research for understanding developmental processes and pathways, and as a testing ground for intervention strategies. In this paper we reflect on the strengths and limitations of the traditional developmental perspective. We suggest that behavioral, cognitive, and emotional development are better understood as a process of bricolage (construction within constraints). This perspective is illustrated in an analysis of change mechanisms, and behavioral and representational changes, in attachment development from pre-locomotor infancy to later adulthood. Special emphasis is placed on ordinary learning and cognitive processes, rather than those specific to attachment, and on the roles that socialization pressures and changing circumstances play in shaping the course of attachment development.
Insights into the genetic divergence in Asiatic cotton (Gossypium arboreum L.) germplasm for fibre-quality traits
Authors: Prakash Reddy Bana Venkata Ravi , Vishnuvardhan K. Mohan , Amarnath K. , Sagar U. Nikhil , Kalyani D. Lakshmi , Ramakrishna M. Siva , Reddy Y. Rama , Venkateswarulu N. C.
Published: October 2024

Asiatic cotton (Gossypium arboreum L.) has evolved in the Indian subcontinent and is known for its adaptability to low-input management conditions. In the present study, 300 diverse G. arboreum lines, including 100 Nandyal arboreum breeding lines (NAB), 132 Arboreum germplasm collections (AGC) and 68 long-linted arboreum genotypes (LLA), were evaluated for fibre quality to assess the diversity among them and to identify promising genotypes with desirable fibre traits. Significant variations were observed among the genotypes for the studied fibre-quality traits. Principal component analysis showed that the traits micronaire (Mic) and elongation percentage (E%) followed by upper half mean length (UHML) and bundle tenacity (tenacity) were the most significant contributors to variation. Cluster analysis based on the Euclidian distance method showed 16 clusters among 300 G. arboreum genotypes. The genotypes in cluster 4 have desirable UHML, tenacity and UI (uniformity index) traits, and cluster 12 has Mic and E% traits. Furthermore, the number of genotypes with desirable fibre-quality traits was found to be higher in the AGC group than in the LLA and NAB groups. The trait tenacity followed by the UHML showed relatively higher Shannon–Weiner diversity index values across different genotypic groups. Based on the superior performance, the genotypes PA 847, PA 809, PA 837, PA 863, NDLA 3147-2, NDLA 2974 and NDLA 3081 were found to be having desirable fibre traits. The identified promising genotypes are valuable genetic resources for improving fibre quality in G. arboreum cotton.
Improving Equatorial Upper Ocean Vertical Mixing in the NOAA/GFDL OM4 Model
Authors: Reichl Brandon G. , Wittenberg Andrew T. , Griffies Stephen M. , Adcroft Alistair
Published: October 2024

Deficiencies in upper ocean vertical mixing parameterizations contribute to tropical upper ocean biases in global coupled general circulation models, affecting their simulated ocean heat uptake and ENSO variability. To better understand these deficiencies, we develop a suite of ocean model experiments including both idealized single column models and realistic global simulations. The vertical mixing parameterizations are first evaluated using large eddy simulations as a baseline to assess uncertainties and evaluate their implied turbulent mixing. Global models are then developed following NOAA/GFDL's 0.25° nominal horizontal grid spacing OM4 (uncoupled) configuration of the MOM6 ocean model, with various modifications that target biases in the original model. We test several enhancements to the existing mixing schemes and evaluate them against observational constraints from Tropical Atmosphere Ocean moorings and Argo floats. In particular, we find that we can improve the diurnal variability of mixing in OM4 via modifications to its surface boundary layer mixing scheme, and can improve the net mixing in the upper thermocline by reducing the background vertical viscosity, allowing for more realistic, less diffuse currents. The improved OM4 model better represents the mixing, leading to improved diurnal deep‐cycle variability, a more realistic time‐mean tropical thermocline structure, and a better Pacific Equatorial Undercurrent.
Vertical Displacements and Sea‐Level Changes in Eastern North America Driven by Glacial Isostatic Adjustment: An Ensemble Modeling Approach
Authors: Williams Karen , Stamps D. Sarah , Melini Daniele , Spada Giorgio
Published: October 2024

Glacial isostatic adjustment (GIA) describes the response of the solid Earth, oceans, and gravitational field to the spatio‐temporal evolution of ice sheets during a glacial cycle. Present‐day vertical displacements and sea‐level changes vary throughout eastern North America in response to the melting of the Laurentide Ice Sheet following the Last Glacial Maximum. We use the open‐source software SELEN4.0 (a SealEveL EquatioN solver) to investigate the influence of GIA on vertical land motions and sea‐level changes in eastern North America. Further, we evaluate the uncertainties associated with the lithospheric thickness and viscosity structure using an ensemble modeling approach (129,956 total simulations). We identify the best‐fitting rheological profiles by comparing modeled vertical displacements to vertical velocity rates derived from Global Positioning System (GPS). We find a general pattern of subsidence (causing accelerated relative sea‐level rise) in the eastern United States region and uplift (causing relative sea‐level fall) in the eastern Canada region consistent with previous studies for two tested ice sheet models (ICE‐6G(VM5a) and ICE‐7G(VM7)). Overall, we find lower rates of modeled vertical displacement using ICE‐6G(VM5a) compared with ICE‐7G(VM7), which produces lower residuals when compared with the GPS‐derived vertical velocity rates. Our ensemble analysis identifies adjustments to the nominal VM5a and VM7 viscosity models that improve fits to the GPS‐imaged vertical velocity rates throughout eastern North America and on the North American Atlantic Coast. The differences in our best‐fitting models for inland versus coastal regions highlight the importance of exploring lateral viscosity variations for GIA modeling throughout North America and elsewhere.
Incubation Experiments Characterize Turbid Glacier Plumes as a Major Source of Mn and Co, and a Minor Source of Fe and Si, to Seawater
Authors: Zhu Xunchi , Hopwood Mark J. , Laufer‐Meiser Katja , Achterberg Eric P.
Published: October 2024

Glaciers are a source of fine‐ground rock flour to proglacial and coastal marine environments. In these environments, suspended rock flour may affect light and (micro)nutrient availability to primary producers. Due to high loads of glacier rock flour, the particulate metal load of glacier runoff typically exceeds the dissolved metal load. As glacier rock flour is deposited in downstream environments, short‐term exchange between particulate and dissolved metal phases may have a moderating influence on dissolved metal concentrations. Here we compare the behavior of iron (Fe), manganese (Mn), cobalt (Co) and silica (Si) following the addition of different glacier‐derived sediments into seawater under conditions of varying sediment load (20–500 mg L−1), time (0.5 hr–21 days), temperature (4–11°C) and light exposure (dark/2,500 Lux). Despite a moderately high labile Fe content across all particle types (0.28–3.50 mg Fe g−1 of dry sediment), only 0.27–7.13 μg Fe g−1 was released into seawater, with less efficient release as sediment load increased. Conversely, Si, Mn, and Co exhibited a more constant rate of release, which was less sensitive to sediment load. Dissolved Si release was equivalent to 17% ± 22% of particulate amorphous Si after 1–2 weeks. Dissolved Mn concentrations in most incubations exceeded dissolved Fe concentrations within 1 hr despite labile Mn content being 12‐fold lower than labile Fe content. Our results show the potential for glacier‐derived particles to be a large source of Mn and Co to marine waters and add to the growing evidence that Mn may be the bio‐essential metal most affected by glacier‐associated sources.
Event‐Feature‐Based Clustering Reveals Continuous Distribution of Tectonic Tremors of 0.3–100 s: Application to Western Japan
Authors: Yano Seiya , Ide Satoshi
Published: October 2024

We develop a methodology to compile an objective tremor catalog by utilizing distinctive event features that differentiate tectonic tremors from non‐tremor events, and combining the envelope cross‐correlation method with clustering technique and neural network. This approach enables tremor extraction without subjective criteria, allowing for the detection of previously overlooked short‐duration tremors. The event features employed to distinguish tremors and non‐tremor events are depth, the mean amplitudes at high and low frequencies, the ratio of these two amplitudes, and event duration. The duration is defined as the minimum period that contains 50% of the seismic energy. The application of this method to western Japan detects 1.7 times more tremors than the previous studies, with the durations of 0.3–∼100 s. The events with short durations are considered low‐frequency earthquakes. The relationship between seismic moment and duration of the detected tremors is consistent with the scaling law of slow earthquakes.
Impact of the Out‐Of‐Plane Flow Shear on Magnetic Reconnection at the Flanks of Earth's Magnetopause
Authors: Liang Haoming , Chen Li‐Jen , Bessho Naoki , Ng Jonathan
Published: October 2024

Magnetic reconnection changes the magnetic field topology and facilitates the energy and particle exchange at magnetospheric boundaries such as the Earth's magnetopause. The flow shear perpendicular to the reconnecting plane prevails at the flank magnetopause under southward interplanetary magnetic field conditions. However, the effect of the out‐of‐plane flow shear on asymmetric reconnection is an open question. In this study, we utilize kinetic simulations to investigate the impact of the out‐of‐plane flow shear on asymmetric reconnection. By systematically varying the flow shear strength, we analyze the flow shear effects on the reconnection rate, the diffusion region structure, and the energy conversion rate. We find that the reconnection rate increases with the upstream out‐of‐plane flow shear, and for the same upstream conditions, it is higher at the dusk side than at the dawn side. The diffusion region is squeezed in the outflow direction due to magnetic pressure which is proportional to the square of the Alfvén Mach number of the shear flow. The out‐of‐plane flow shear increases the energy conversion rate , and for the same upstream conditions, the magnitude of is larger at the dusk side than at the dawn side. This study reveals that out‐of‐plane flow shear not only enhances the reconnection rate but also significantly boosts energy conversion, with more pronounced effects on the dusk‐side flank than on the dawn‐side flank. These insights pave the way for better understanding the solar wind‐magnetosphere interactions.
The multiple roles of interferon regulatory factor family in health and disease
Authors: Wang Lian , Zhu Yanghui , Zhang Nan , Xian Yali , Tang Yu , Ye Jing , Reza Fekrazad , He Gu , Wen Xiang , Jiang Xian
Published: October 2024

Interferon Regulatory Factors (IRFs), a family of transcription factors, profoundly influence the immune system, impacting both physiological and pathological processes. This review explores the diverse functions of nine mammalian IRF members, each featuring conserved domains essential for interactions with other transcription factors and cofactors. These interactions allow IRFs to modulate a broad spectrum of physiological processes, encompassing host defense, immune response, and cell development. Conversely, their pivotal role in immune regulation implicates them in the pathophysiology of various diseases, such as infectious diseases, autoimmune disorders, metabolic diseases, and cancers. In this context, IRFs display a dichotomous nature, functioning as both tumor suppressors and promoters, contingent upon the specific disease milieu. Post-translational modifications of IRFs, including phosphorylation and ubiquitination, play a crucial role in modulating their function, stability, and activation. As prospective biomarkers and therapeutic targets, IRFs present promising opportunities for disease intervention. Further research is needed to elucidate the precise mechanisms governing IRF regulation, potentially pioneering innovative therapeutic strategies, particularly in cancer treatment, where the equilibrium of IRF activities is of paramount importance.
MIR937 amplification potentiates ovarian cancer progression by attenuating FBXO16 inhibition on ULK1-mediated autophagy
Authors: Zhang Zhen , Liu Xinkui , Chu Chu , Zhang Yingjie , Li Wei , Yu Xiaoyan , Han Qiaoqiao , Sun Haoyu , Zhang Yunhong , Zhu Xiaoxiao , Chen Liang , Wei Ran , Fan Nannan , Zhou Miaomiao , Li Xia
Published: October 2024

High-grade serous ovarian carcinoma (HGSOC) is one of the most lethal gynecological cancer. Genetic studies have revealed gene copy number alterations (CNAs) frequently occurred in HGSOC pathogenesis, however the function and mechanism of CNAs for microRNAs are still not fully understood. Here, we show the dependence on gene copy number amplification of MIR937 that enhances cell autophagy and dictates HGSOC proliferative activity. Data mining of TCGA database revealed MIR937 amplification is correlated with increased MIR937 expression and cell proliferation of HGSOC. Deletion of MIR937 in HGSOC cells led to impaired autophagy and retarded cell proliferation, and the extent for its inhibitory effects scaled with the degree of MIR937 copy loss. Rescue assay confirmed miR-937-5p, a mature product of MIR937, was sufficient to restore its oncogenic function. Mechanistically, MIR937 amplification raised the expression of miR-937-5p, enhanced its binding to 3′ UTR of FBXO16 transcript, and thereby restricting FBXO16 degradative effects on ULK1. Our results demonstrate that MIR937 amplification augments cell autophagy and proliferation, and suggest an alternative strategy of MIR937/FBXO16/ULK1 targeting for HGSOC treatment.
Can systemic antibiotics reduce the need for surgical intervention in treating peri-implantitis?
Authors: Parmar Nidhi
Published: October 2024

Design

A retrospective cohort design was used to assess the long-term clinical effectiveness of systemic amoxicillin and metronidazole, used adjunctively with non-surgical peri-implantitis treatment (NST) and whether it prevents the need for further surgical interventions.

Cohort selection

Of the 57 peri-implantitis patients examined, 45 patients were included in this study. The participants were divided into two subgroups in accordance to who had received NST with or without systemic antibiotics. Selection was based on prior participation in a three-month randomised control trial, ensuring comparability of data regarding peri-implantitis severity and treatment history.

Data analysis

Data were extracted pre-treatment, 3-months post-treatment and at a long-term follow-up interval of 36 months. The primary outcome was the need for additional surgical intervention and was analysed via Kaplan–Meier analysis and Cox regression. A multitude of secondary clinical outcomes were evaluated using parametric and non-parametric tests, including peri- implant probing depth, bleeding scores and treatment success.

Results

Overall, 62.2% of the 45 NST patients did not need surgical peri-implantitis treatment: 73.9% of the subgroup with antibiotics and 50% of the subgroup without antibiotics respectively. However, the difference between the two groups was not statistically significant (log-rank test, p = 0.110). The Cox regression analysis also displayed no significance over the first three years post-treatment (p = 0.115). Additionally, the study found that deeper peri- implant pockets at baseline significantly predicted the need for future surgical treatment (p = 0.031), highlighting the importance of initial disease severity in treatment outcomes.

Conclusions

The study concludes that the adjunctive use of systemic amoxicillin and metronidazole with NST may delay but not statistically reduce or prevent a future surgical need. Although a short-term reduction in clinical inflammatory parameters was evident, the long-term effectiveness in altering the progression of peri-implantitis remains limited.