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Scalable and Robust Multiband Modeling of AGN Light Curves in Rubin-LSST
No full textThe Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST) will monitor tens of millions of active galactic nuclei (AGNs) for a period of 10 yr with an average cadence of 3 days in six broad photometric bands. This unprecedented data set will enable robust characterizations of AGN UV/optical variability across a wide range of AGN physical properties. However, existing tools for modeling AGN light curves are not yet capable of fully leveraging the volume, cadence, and multiband nature of LSST data. We present EzTaoX, a scalable light-curve modeling tool designed to take advantage of LSST’s multiband observations to simultaneously characterize AGN UV/optical stochastic variability and measure interband time delays. EzTaoX achieves a speed increase of ∼102–104× on CPUs over current tools with similar capabilities, while maintaining equal or better accuracy in recovering simulated variability properties. This performance gain enables continuum time-delay measurements for all AGNs discovered by LSST—both in the Wide Fast Deep survey and the Deep Drilling Fields—thereby opening new opportunities to probe AGN accretion-flow geometries. In addition, EzTaoX’s multiband capability allows for robust characterization of AGN stochastic variability down to hourly timescales, facilitating the identification of accreting low-mass AGNs—such as those residing in dwarf galaxies—through their distinctive variability signatures
Uncertainty-aware calibrated 3D human motion forecasting with latent conformal prediction
No full text3D human motion forecasting aims to predict the future dynamics of observed human movements, with applications ranging from autonomous driving to robotics. Estimating the uncertainty of each individual prediction is crucial for risk-bounded planning and control to ensure safety. However, generative model-based approaches struggle with uncertainty quantification due to their implicit probabilistic representations. To address this, we propose an uncertainty-aware probabilistic forecasting framework that parameterize complex human motions using invertible networks and forecast parameters of the future human motion distribution. This explicit probabilistic representation offers effective uncertainty quantification based on probability density. Additionally, to transform heuristic notions of uncertainty into statistically grounded estimates, we introduce a copula-based latent conformal prediction method for calibrating the predicted distribution. Experiments demonstrate the strong predictive performance of our approach in both deterministic and diverse setup, and validate the effectiveness of the uncertainty estimates
ANGLICANS AT SEA: THE CHURCH OF ENGLAND AND THE ROYAL NAVY IN THE ERA OF THE FIRST WORLD WAR
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Youth work, schools and initial mental health support: exploring the interconnections from youth work practice
No full textThe COVID-19 pandemic (2020–2021) initiated a series of school closures and interrupted learning for pupils, thereby exacerbating pre-existing mental health issues for a generation of young people. This context magnified the discussion of how best to support young people’s mental well-being. Youth work has a positive history of engagement with schools, and a growing body of research demonstrates that sustained participation in youth work processes and activities improves young people’s mental well-being, self-esteem, and resilience. This article argues that strategic collaboration between youth work and schools can enhance preventative interventions for young people facing low level mental health challenges. Drawing on qualitative data derived from youth workers in central Scotland and northeast England, this article analyses their post-pandemic collaborations with schools and critically examines both the opportunities and challenges for youth work in delivering initial mental health support in school settings. Key themes emerging include: sustained youth work presence in schools focused on one-to-one support and group work with young people; the importance of youth work processes and principles; increased demand from schools for youth work support; and youth worker involvement in ‘Alternative Provision’ both on and off school premises. These findings contribute to ongoing debates regarding the role of youth work within schools and reiterate its critical importance as an initial mental health intervention for young people
The politicization of migrants’ onward movements from Italy to France
No full textThrough migrants’ movements, specific locations become imaginarily linked as politicised symbols of a so-called migrant crisis, but also as sites of solidarity and resistance. This is true for Lampedusa, Italy and Briançon, France, border sites where both migrants and solidarity actors contest EU migration policies. Italy has implemented policies and practices that foster onward movements because it has neither the capacity nor the intention to settle all migrants who arrive. France has reacted to onward movements from Italy by reintroducing border controls. French political and media discourses blame Italy for ‘nudging’ these migrants into France. This article is based on ethnographic fieldwork in Briançon and Lampedusa. It focuses on the events of September 2023, when 11,000 migrants arrived in Lampedusa during one week, shortly after which Briançon saw a significant increase in arrivals. The depiction of crisis in these two linked sites illustrates EU, national and local implications of migrants’ onward movements
Exploring Sustainability Reporting Practices in an Emerging Market: Insights From Corporate Governance and Disclosure Tone
No full textThe study examines how narrative disclosure tones (NDTs) and corporate governance mechanisms (CGMs) affect sustainability reporting practices (SRP) in an emerging economy. Data from 125 non‐financial firms in Pakistan, spanning 2011–2022, are utilized. SRP is measured using both GRI and the novel IFRS S1 standards‐based indices. Three NDTs are identified through sentiment analysis, while six CGMs and three ownership structures are sourced from annual reports. Panel regression is used to test the relationships among NDTs, CGMs, ownership structures, and SRP. Negative and uncertain tones are associated with impression management within SRP, whereas positive tones provide more accurate signals. Additionally, audit committee size, independence, and gender diversity enhance SRP, while concentrated ownership reduces it. By introducing a novel measure based on the IFRS S1 sustainability standards and aligning them with the widely adopted GRI framework, the study provides policymakers with a ready framework for implementing mandatory SRP across most emerging economies. Furthermore, this research advances understanding of the tone‐SRP nexus, helping investors distinguish between impression management and authentic signals of SRP, particularly in settings where reporting accuracy is critical. Finally, the study underscores the crucial role that corporate governance and ownership structures can play in enhancing the quality of SRP, particularly in environments with weak governance. Policymakers are encouraged to effectively mandate SRP in line with the IFRS S1 sustainability standards. Furthermore, they are encouraged to promote gender‐diverse, independent audit committees, and all stakeholders should monitor the tone of annual reports to evaluate potential misreporting in sustainability disclosures
Intelligent Signal Classification Based on Fractional Graph Feature Fusion for MIMO Systems
No full textWith the rapid growth in electromagnetic device quantities, various forms of communication interference have emerged, significantly impacting the accuracy of signal classification. Existing classification algorithms mainly focus on unintentional interference, such as co-channel interference and noise, with limited research on the problem of malicious interference in Multiple Input Multiple Output (MIMO) signal classification. This study proposes an intelligent MIMO signal classification algorithm based on fractional graph feature fusion. Initially, a high-order cumulant tensor model is constructed and regularized tensor decomposition is applied to reconstruct the MIMO signals. Subsequently, a feature extraction model using a fractional wavelet scattering network is designed to effectively capture the distinguishing features of signal constellations. Finally, a collaborative representation classifier based on the Grassmann manifold is utilized to amplify the differences between modulation categories, thereby improving classification performance. Simulation results indicate that the proposed algorithm effectively suppresses common communication interference and successfully classifies MIMO signals. Compared to existing methods, the proposed approach demonstrates significant performance improvements without requiring prior knowledge, such as noise power or channel coefficients
A brass bell, the North-East of England, and me: Fragments for a story of detachment and attachment
No full textHow do we make lives in the wake of the detachments that make us? What attachments do we desire amid detachments from place and others that extend beyond our lives? In this collection of fragments I perform a response to these questions via a story of a brass bell and the tangle of attachments and detachments that make my relations to a place, the North-East (England), and a person, my great-Grandad Thomas Anderson, who was born and grew up there. In the telling, the story becomes one of distances from long-gone worlds, the impossibility of attachments we may desire, and intimacies that fold time and space
Chiral catalysis-driven rotary molecular motors.
No full textThe structural anisotropy necessary to distinguish clockwise from counterclockwise motions in motor-molecules continuously rotating about a covalent single bond has previously been supplied by chiral fuelling systems or by enzymes. Here we report a class of rotary motors in which, like motor proteins, structural asymmetry in the motor itself causes directional rotary catalysis. A single stereogenic centre in azaindole-phenylethanoic acid motors is sufficient to produce diastereomeric intermediates of atropisomeric conformations in the catalytic cycle, generating 8:1 clockwise:counterclockwise directional bias in the motor's rotary catalysis of diisopropylcarbodiimide hydration (motor substituent PhCH -). One enantiomer of a chiral hydrolysis promoter increases the directionality to 30:1 for clockwise rotation (motor substituent CH -), while the other enantiomer reverses the direction to 1:2 clockwise:counterclockwise. The experimental demonstration that a chiral molecular motor can be powered by a chemical fuel to rotate either with, or counter to, the motor's dominant power stroke informs the understanding of how chemical energy is transduced through catalysis, the fundamental process that powers biology. [Abstract copyright: © 2026. The Author(s), under exclusive licence to Springer Nature Limited.
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