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Multiple timescale dynamics of network adaptation with constraints

Adaptive network dynamical systems describe the co-evolution of dynamical quantities on the nodes and the dynamics of the network connections themselves. For dense networks of many nodes, the resulting dynamics are typically high-dimensional. Here, we consider adaptive dynamical systems subject to constraints on network adaptation: Asymptotically, the adaptive dynamics of network connections evolv

Modelling wildfire and post-fire carbon budgets of a boreal forest under a changing climate

Understanding the dynamics of post-fire carbon recovery is critical for managing boreal forests under climate change. This study evaluates the LPJ-GUESS-BLAZE models’ performance in simulating vegetation structure, fire emissions, and post-fire carbon dynamics at the stand scale in a boreal forest in Sweden. Combining current climate and future scenarios (SSP1–2.6, SSP5–8.5), we investigated the i

Assessing the Long-Term Trends and Impacts of Water Resource System Resilience in the Yangtze River Basin

Resilience is a critical issue for water resource systems. Over the past few decades, these systems have been significantly disrupted by natural disasters and human activities, resulting in substantial economic losses. This study develops a resilience evaluation framework based on a comprehensive literature review and applies it to assess the resilience of the Yangtze River Basin (YRB). The result

Sectoral attribution of greenhouse gas and pollutant emissions using multi-species eddy covariance on a tall tower in Zurich, Switzerland

Eddy covariance measurement of species that are co-emitted with carbon dioxide (CO2), such as carbon monoxide (CO) and nitrogen oxides NO and NO2 (NOx), provides an opportunity to attribute a net flux to individual source or sink categories. We present eight months of continuous simultaneous measurements of fluxes (F) of CO2, CO, NOx, methane (CH4), and nitrous oxide (N2O) from a tall tower (112 m

Selected miRNAs in Urinary Extracellular Vesicles Show Promise for Early and Specific Diagnostics of Diabetic Kidney Disease

Diabetic kidney disease (DKD) is a health burden that lacks specific and early diagnostic biomarkers. For their discovery, we sequenced urinary extracellular vesicle miRNAs in a type 1 diabetes cohort of males with and without DKD. The results were replicated by sequencing or qPCR in two independent cohorts and six published datasets, including type 1 and 2 diabetes, and both sexes. We also valida

Fatigue, Sleep Problems, and Self-Efficacy Before and After Heart Transplantation : A 5 Year Follow-Up

Introduction: Fatigue is a troublesome symptom after heart transplantation and is poorly studied in a long-term perspective. One hypothesis is that there is a strong relationship between fatigue, sleep problems, and self-efficacy, and that fatigue decreases self-efficacy. The aim of this study was to explore self-reported fatigue from the time on the waiting list to 5 years after heart transplanta

The Accident as Predicable in the Latin Medieval Tradition of Aristotle’s Topics : The Metaphysics of Argumentation

Thirteenth-century interpreters of Aristotle’s Topics put forward metaphysical accounts aiming to underpin Aristotle’s account of dialectical argumentation. The reason for this, I surmise, is that they took Aristotelian logic to be a scientific method, a crucial part of which is the dialectical method provided in the Topics. Dialectical arguments proceed distinctively from acceptable premises whic

Ambiguity aversion and value uncertainty generate an endowment effect

We show how the endowment effect can be interpreted in terms of ambiguity aversion. Agents take status quo as their reference point, relative to which they evaluate potential trades. The value of exchanged goods is ambiguous, represented by a set of probability distributions over possible values. Agents are ambiguity averse, modeled as maxmin expected utility maximisers. This characteristic leads

Integrating Multi-Level Sustainability and Ecosystem Integrity for Adaptive Scenario Planning in China

Climate change calls for adaptive strategies to manage land system across governance levels, as differing multi-level policies distinctly shape land system and long-term ecosystem resilience. This study proposes an iterative approach for optimizing land-use pathways that balance competing policy objectives across national, provincial, and local levels without compromising ecosystem integrity in a

EndoCompass project : research roadmap for endocrine causes and consequences of cancer

Background: Endocrine science remains underrepresented in European Union research programmes despite the fundamental role of hormone health in human wellbeing. Analysis of the CORDIS database reveals a persistent gap between the societal impact of endocrine disorders and their research prioritisation. At national funding level, endocrine societies report limited or little attention of national res

MHC I of the Great Reed Warbler Promotes a Flat Peptide Binding Mode

The major histocompatibility complex (MHC) plays a key role in pathogen recognition as part of the adaptive immune system. MHC I gene copy numbers in birds of the order Passeriformes (songbirds) are substantially larger compared to other birds. MHC I diversity and antigen presentation have been carefully characterised in chicken Gallus gallus of the order Galliformes; chickens express few MHC I ge

The end and purpose of law : Hans Barion and Gustav Radbruch on spiritual and temporal authority

Carl Schmitt dedicated his final book, Political Theology II: The Myth of the Closure of Any Political Theology (1970), to the canonist and Catholic priest Hans Barion. This essay interrogates Barion’s conceptualisation of the end and purpose of spiritual and temporal authority as articulated in his defence of the Third Reich in 1933. By juxtaposing Barion’s characterisation of the Roman Catholic

Scale-similarity models for the chemical source terms in large eddy simulation

The modelling of filtered chemical source terms remains a fundamental challenges for large eddy simulation (LES) of reacting flows, such as combustion. This study investigates various scale similarity models for predicting filtered reaction rates. The theoretical foundation of scale similarity models is reviewed, and several extensions and generalisations are proposed. These include the distinctio

Contrasting Carbon and Water Flux Dynamics in an East African Rangeland and Cropland

This study examines carbon (C) and water dynamics in two East African dryland ecosystems: a savanna rangeland grazed by livestock and wildlife, and a rainfed cropland under minimal tillage. Over 185 days, both systems were showed a similar magnitude of C emissions with differing temporal patterns. The rangeland showed fluctuating C exchange, with losses followed by increased C uptake after rainfal

What Does the Triple Isotopic Composition of Oxygen in Precipitation, Groundwater, Soil Water, Plant Water, and Phytoliths Reveal About Current and Past Hydrological Cycles?

Quantitative data are needed to constrain the feedback loops between vegetation and hydroclimate. In this study, the amplitudes of variations in the triple oxygen isotope composition of water at the soil-plant-atmosphere interface are measured in savanna and dry forest contexts in West Africa (Benin and Senegal). Comparison of in situ data and model estimates reveals the following: (a) The value o

AI-Enhanced High-Resolution Functional Imaging Reveals Trap States and Charge Carrier Recombination Pathways in Perovskite

Understanding and managing charge carrier recombination dynamics is crucial for optimizing the performance of metal halide perovskite optoelectronic devices. In this work, we introduce a machine learning-assisted intensity-modulated two-photon photoluminescence microscopy approach for quantitatively mapping recombination processes in MAPbBr3 perovskite microcrystalline films at micrometer-scale re