Research works

Implementing methane dynamics into the LPJmL6 model

Abstract. We extend the Dynamic Global Vegetation Model LPJmL to version 6.0 by explicitly representing methane (CH4) dynamics within the coupled carbon–nitrogen–water system. The implementation (i) prognoses water-table depth and wetland extent using a CTI–TOPMODEL framework, (i...

Structural rearrangements underlying the activation of STIM1 by ER calcium depletion

ABSTRACT In resting cells, STIM1, the dimeric ER Ca 2+ sensor that controls store-operated Ca 2+ entry (SOCE), is held in a Ca 2+ -bound inactive state by multiple intramolecular restraints, or brakes. Receptor-evoked release of Ca 2+ from the ER causes a large conformational cha...

Cell senescence emerges as a hallmark and therapeutic target of chronic intracellular infection

<title>Abstract</title> Intracellular pathogens are ideal candidates for modelling the pathophysiology of chronic infection, as they hide within host cells and avoid conventional immune clearance through a controlled reshaping of cellular fate. This study unveils how the emerging...

Why Is the Mental Health of the Youngest American Workers in Decline?

The worsening mental health of young workers drives what appeared to be the disappearance of the age-related U-shape in wellbeing and the hump-shape in illbeing over the last decade. Using repeat cross-sectional data, we show that, whilst illbeing remains hump-shaped among non-wo...

SuPerPoV: Score and Evolution of the Stratospheric Polar Vortex via Persistent Homology

Abstract Classifying the stratospheric polar vortex provides predictability for surface weather on extended‐range timescales. However, all definitions of these events proposed in over 60 years of study depend on empirically chosen parameters and yield different results when they...

Capturing the Epistemic Uncertainty in Subduction Earthquake Rupture Parameters

ABSTRACT Subduction earthquakes are highly destructive and can trigger devastating tsunamis, highlighting the need for a consistent probabilistic seismic-tsunami hazard assessment. However, current approaches treat both hazards separately: tsunami models use static coseismic slip...

A near-sunset atmospheric sounding during the 14 October 2023 annular solar eclipse over Natal

Abstract. Solar eclipses are transient atmospheric events that cause rapid localized reduction in solar radiation, which produces complex changes associate with the vertical coupling of the layers. This study investigates the vertical response of the neutral atmosphere to the 14...

Super-resolution CT-based intratumoral and peritumoral radiomics analysis for trinary classification of PD-L1 status in lung adenocarcinoma ≥ 1 cm

<title>Abstract</title> Objectives To explore the potential of super-resolution CT-based intratumoral and peritumoral radiomics analysis for the trinary classification of PD-L1 status in lung adenocarcinoma with a diameter of ≥ 1cm, aiming to enhance the accuracy of PD-L1 status...

Hamiltonian Dynamics as the Engine of Biological Computation: Linking Gamma Oscillations to Scale-Inseparable Memory

This study investigates the physical basis of biological computation, focusing on the tension between static structuralism and dynamic evolution. Utilizing a Hamiltonian formulation of the Kuramoto model, we simulate a biological reservoir to rigorously evaluate the relationship...

A Computational Toy Model of Non-Local Information Storage in a Quantum Cellular Automaton

The holographic principle, which posits that the physics of a volume of space can be encoded on its boundary, has been profoundly reinterpreted as a form of quantum error correction. Separately, Quantum Cellular Automata (QCAs) offer a bottom-up model for the emergence of complex...

Programming the Vacuum: A Unified Hamiltonian Engineering Framework for Optimization and Spectral Synthesis

The exponential growth of Hilbert space dimensions presents a fundamental barrier to the classical simulation of quantum systems, necessitating a paradigm shift from algorithmic simulation to physical instantiation. This study validates the “Inverted Church-Turing-Deutsch” (CTD)...

Tracking sustainability dynamics in EU transport sector: Bayesian latent change-score analysis study

This dataset contains harmonized longitudinal data for the EU-27 covering the period 2007–2023, designed to support empirical analysis of transport-sector greenhouse gas emissions dynamics. It includes transport-related greenhouse gas emissions per capita (GHG), road freight acti...

A survey of AI methods for geometry preparation and mesh generation in engineering simulation

Abstract Artificial intelligence is beginning to reduce the manual effort in the CAD-to-mesh pipeline. Written for meshing and geometry practitioners with limited AI background, this survey organizes recent work by workflow step. We cover part classification and segmentation, mes...

Estimating on-farm genotypic performance and variability using ranking data

Abstract Key message Our scalable two-step method estimates genotypic performance and genetic parameters from ranking data, producing reliable results comparable to quantitative analyses, enabling the integration of ranking data into breeding pipelines. Abstract Plant breeding re...

Experimental and numerical analysis of a traditional four-sided windcatcher for performance evaluation and improvement

Windcatchers are traditional architectural elements that enable passive ventilation and cooling, thereby improving thermal comfort and reducing energy consumption. This study investigates the performance of a historical four-sided windcatcher in Yazd, Iran, through full-scale fie...

Integration of AI-based load forecasting and hybrid metaheuristic optimization for sustainable capacity expansion planning in decarbonized solar energy systems

With progressive integration of renewable generation and energy storage techniques, it is crucial to examine the modelling techniques and assumptions of capacity expansion planning (CEP) for power grids dominated by thermal-based systems. The proposed framework integrates artific...

Privacy-preserving federated reinforcement learning for BESS coordination in distribution networks with voltage regulation

The increasing integration of distributed energy resources (DERs) in distribution networks, particularly battery energy storage systems (BESSs), enables energy trading and operational cost reduction but also introduces challenges for coordinated energy management. Effective coord...

Vibratory Characteristics and Quantitative Parameters of Laryngeal Dystonia: A Scoping Review of High‐Speed Videoendoscopy Studies

ABSTRACT Objective To review the clinical application and quantitative parameters of high‐speed videoendoscopy (HSV) in evaluating vocal fold kinematics in patients with laryngeal dystonia (LD), to summarize the limitations of existing studies, and to provide a reference for futu...

Corticolimbic structure-function coupling is sensitive to childhood adversity and buffers adversity-related symptoms during development

Abstract Childhood adversity is a potent predictor of mental health problems across the lifespan, and a rich cross-species literature implicates stress-sensitive corticolimbic circuits in adversity-related psychopathology. Structure-function coupling (SFC) is a promising multimod...

ELSSA: Explainable large language model-based decision support for public transit incident management

Rapid incident response in public transit requires supervisors to make defensible decisions that align with both formal standard operating procedures (SOPs) and practical agency experience recorded in past reports. However, conventional retrieval-augmented generation (RAG) often...