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This research assesses the relationship between rainfall spatial distribution and levee failure risks by scouring at the confluence of the Chikugo River mainstream and Kusu River. Using d4PDF large climate ensembles (10,140 years of data), the study integrated a Rainfall-Runoff-Inundation (RRI) model with iRIC Nays 2DH for 2D hydro-morphodynamic analysis.The ensembles were categorized into three g

It is apparent that climate change is progressing, increasing the frequency of heavy rainfall events. In coastal areas, halocline formation caused by increased freshwater inflow can inhibit vertical mixing, reducing oxygen concentration in the bottom layer. The Ariake Sea, an inner bay in Japan with a large tidal range, has faced serious issues such as red tides and hypoxia. Previous studies

This thesis investigates how urban street design can be reimagined to increase livable public space and improve residents’ perceptions of safety in dense urban neighborhoods. Focusing on the districts of Högaborg, Eneborg, and Söder in Helsingborg, Sweden, the study examines how streetscape design interventions can address persistent negative perceptions of these areas, which residents often regar

Accumulating evidence suggests that a compromised intestinal epithelial barrier (IEB) contributes to the progression of metabolic dysfunction-associated steatotic liver disease (MASLD); however, the exact mechanisms remain unclear. Here we reveal that intestinal mucin 1 (MUC1) levels and glycosylation are decreased in both humans and male mice with MASLD. Enterocyte-specific Muc1 knockout aggravat

Discontinuous Galerkin (DG) methods are promising high order discretizations for unsteady compressible flows. Here, we focus on Numerical Weather Prediction (NWP). These flows are characterized by a fine resolution in z-direction and low Mach numbers, making the system stiff. Thus, implicit time integration is required and for this a fast, highly parallel, low-memory iterative solver for the resul

Cancer detection is challenging, especially in patients with diffuse symptoms that overlap with non-malignant conditions. Here we show that plasma protein profiling can identify cancer among patients with non-specific symptoms. Using proximity extension assay-based proteomics of 1463 plasma proteins from 456 patients presenting with non-specific symptoms sampled prior to cancer diagnostic work-up

Neural simulation-based inference (NSBI) is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary histograms. Such methods are promising for a range of measurements, including at the Large Hadron Collider, where no single observable may be optimal to scan ov

The present study aimed to increase understanding of how singing activities may be initiated in primary school, and what support and assistance teachers require to conduct singing activities as an integrated part of the school day. Five music teachers participated in a focus group interview. The following main themes were identified: 1) pedagogical and methodological flexibility, 2) the role of ro

Understanding the genetic regulation of blood CD34+ cell levels could lead to better methods for stem cell mobilization and transplantation. Recently, in a genome-wide association study (GWAS), we identified 11 genetic associations with blood CD34+ cell levels. One of the most significant maps to an intergenic region between the ENO1 and RERE genes at chromosome 1p36.23. However, the underlying me

Highly oxygenated organic molecules (HOM) play a crucial role in the formation and growth of atmospheric particles, thereby influencing air quality and climate. A comprehensive understanding of HOM formation, particularly an accurate quantification of their yields, is essential to constrain the climate and health impacts of aerosols. Previous studies often reported constant HOM yields as averages,

A search is conducted for a new scalar boson S, with a mass distinct from that of the Higgs boson, decaying promptly into four leptons (ℓ=e, μ) via an intermediate state containing two on-shell, promptly decaying new spin-1 bosons Zd: S→ZdZd→4ℓ, where the Zd boson has a mass between 15 and 300 GeV, and the S boson has a mass between either 30 and 115 GeV or 130 and 800 GeV. The search uses proton–

This paper presents findings from a transdisciplinary study exploring conditions for Inclusive Science Education (ISE) for children aged 0–16 from communities in vulnerability risk situation. A two-step literature review was conducted to identify inclusive teaching and learning interventions. The first phase applied a Scoping Review, followed by an Integrative Literature Review focusing on communi

Projecting El Niño-Southern Oscillation responses to future climate change are hindered by limited paleoclimate records spanning past abrupt climate transitions. This study combines multi-proxy records from the Northwest Borneo Trough over the past 30 kyr with transient climate simulations, reconstructing tropical western Pacific hydroclimate during Heinrich events and Bølling–Allerød warming. Res

This article explores the processes that led to the inclusion of psychedelics under the 1971 Convention on Psychotropic Substances, a cornerstone of international drug control. Drawing on archival records, we analyze the narratives and dynamics that shaped this decision. Despite limited scientific evidence of public health dangers, concerns about psychedelics were amplified by sensationalized mediThis article explores the processes that led to the inclusion of psychedelics under the 1971 Convention on Psychotropic Substances, a cornerstone of international drug control. Drawing on archival records, we analyze the narratives and dynamics that shaped this decision. Despite limited scientific evidence of public health dangers, concerns about psychedelics were amplified by sensationalized medi

Post-translational modifications (PTMs) such as nitration of Tyr (Y) residues and di-tyrosine (DT) formation are known to impact the aggregation behavior of α-synuclein (α-syn), a protein closely linked to Parkinson's disease. Using tetranitromethane (TNM) as a model nitrating agent, we systematically investigated the chemical modifications of α-syn and their consequences for aggregation. Mass spe

Accurate triage of ovarian masses is facilitated in many centers by the guideline-endorsed, extensively validated IOTA-ADNEX risk model, yet the model still relies on manual measurements of key tumor features. We developed ADNEX-AI, a multi-task deep-learning system that automatically segments four ADNEX ultrasound predictors – lesion, locules, solid tissue, papillary projections – and outputs the

The Cox Proportional Hazards (CPH) model has long been the preferred survival model for its explainability. However, to increase its predictive power beyond its linear log-risk, it was extended to utilize deep neural networks, sacrificing its explainability. In this work, we explore the potential of self-explaining neural networks (SENN) for survival analysis. We propose a new locally explainable

Background: Cardiac arrest (CA) is a major cause of mortality and morbidity. Accurate prediction of neurological outcome and survival remains challenging. In this context, our study aimed to explore novel molecular biomarkers that could provide additional insights into the pathophysiology of brain injury after CA and potentially distinguish patients with no brain injury (CPC 1) from those with any

The rapid expansion of the global microgrid (MG) market requires a sustainable and resilient energy storage solution to manage the intermittent nature of renewable energy sources. While conventional battery storage systems are common, they present significant limitations in cost, lifespan, and environmental impact. This paper introduces green hydrogen energy storage (GHES) as a paradigm-shifting a