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Understanding how time-reversal symmetry (TRS) breaks in quantum materials is key to uncovering new states of matter and advancing quantum technologies. However, unraveling the interplay between TRS breaking, charge order, and superconductivity in kagome metals continues to be a compelling challenge. Here, we investigate the kagome metal Cs(V1−xNbx)3Sb5 with x = 0.07 using muon spin rotation (μSR)

Across Europe, freshwater ecosystems were simultaneously shaped by climate variability, land-use intensification, and accelerating socio-economic pressures, yet their combined effects on surface water quality and freshwater ecosystem service (FES) potential remained poorly understood at large spatial scales. While individual stressors were often examined in isolation, their interaction across hete

IntroductionAnal squamous cell carcinoma (ASCC) is an HPV-related tumor primarily treated with concurrent chemoradiotherapy (CRT). Salvage surgery is reserved for patients with residual or recurrent disease following CRT, representing a highly selected, high-risk subgroup. Population-based data on outcomes and prognostic factors after salvage surgery are limited. This study aimed to assess overall

Groundwater is considered one of the most valuable fresh water resources. The main objective of this study was to produce groundwater spring potential maps in the Koohrang Watershed, Chaharmahal-e-Bakhtiari Province, Iran, using three machine learning models: boosted regression tree (BRT), classification and regression tree (CART), and random forest (RF). Thirteen hydrological-geological-physiogra

The yellow rust pathogen (Puccinia striiformis Westend) poses a significant threat to wheat production in the world, necessitating a comprehensive understanding of its spatiotemporal distribution and the influence of climatic factors. In this study, we employed an ensemble of four prominent machine learning algorithms to assess the impact of various environmental and remote sensing variables on th

A quantitative understanding of the hydro-environmental factors that influence the occurrence of agricultural drought events would enable more strategic climate change adaptation and drought management plans. Practical drought hazard mapping remains challenging due to possible exclusion of the most pertinent drought drivers, and to the use of inadequate predictive models that cannot describe droug

Considering the unstable condition of water resources in Iran and many other countries in arid and semi-arid regions, groundwater studies are very important. Therefore, the aim of this study is to model groundwater potential by qanat locations as indicators and ten advanced and soft computing models applied to the Beheshtabad Watershed, Iran. Qanat is a man-made underground construction which gath

Regarding the ever increasing issue of water scarcity in different countries, the current study plans to apply support vector machine (SVM), random forest (RF), and genetic algorithm optimized random forest (RFGA) methods to assess groundwater potential by spring locations. To this end, 14 effective variables including DEM-derived, river-based, fault-based, land use, and lithology factors were pro

Bridges are critical assets within transportation networks, and their failure, whether due to accidental actions, extreme environmental events, or localized damage, can lead to consequences that extend far beyond the structure itself. In addition to direct safety implications, bridge failures often result in prolonged traffic disruption, economic losses, and reduced network resilience. As traffic

A quantitative evaluation method for nonlinear elastic characteristics of piezoelectric materials in high-power operation using constant current (CC) measurements was established. The admittance curves obtained from conventional constant voltage measurements are unsuitable for curve fitting to determine the nonlinear coefficients, due to the hysteresis and jump phenomena in the admittance curve. T

The ability to precisely control the localization of individual cells or other microscopic biological particles in aqueous suspension inside a microfluidic confinement is essential for the realization of future tools for single-cell studies in basic biology and medicine. We previously demonstrated that thermoacoustic streaming stemming from interactions of an acoustic field with a thermal gradient

Stroke represents one of the most significant global health challenges of the 21st century, with 11.9 million people experiencing stroke annually and a disproportionate burden falling on low- and middle-income countries, where 87% of stroke deaths and 89% of disability occur. Despite stroke being highly preventable—with 84% of the burden attributable to modifiable risk factors—and the availability

Landslide susceptibility mapping is among the first works for disaster management and land use planning activities in a mountain area like Ganzhou City. The aims of the current study are to assess GIS-based landslide spatial modeling using four models, namely data-driven evidential belief function (EBF), frequency ratio (FR), maximum entropy (Maxent), and logistic regression (LR), and to compare t

Ever increasing demand for water resources for different purposes makes it essential to have better understanding and knowledge about water resources. As known, groundwater resources are one of the main water resources especially in countries with arid climatic condition. Thus, this study seeks to provide groundwater potential maps (GPMs) employing new algorithms. Accordingly, this study aims to v

Assessment of the most appropriate groundwater conditioning factors (GCFs) is essential when performing analyses for groundwater potential mapping. For this reason, in this work, we look at three statistical factor analysis methods-Variance Inflation Factor (VIF), Chi-Square Factor Optimization, and Gini Importance-to measure the significance of GCFs. From a total of 15 frequently used GCFs, 11 mo

In this report, we present findings from a Swedish Universities of the Built Environment (SBU) project (2023) where we collected and synthesized examples of pedagogic tools used to strengthen students’ conceptual understanding in structural engineering—i.e., understanding key structural concepts, how they relate to each other, and how they connect to real-world structures and practice. The project

As artificial intelligence (AI) becomes a critical pillar of industrial competitiveness and national strategy, Sweden is pursuing a sovereign AI approach through the establishment of Sferical AI, a joint venture involving leading companies such as AstraZeneca, Ericsson, Saab, SEB, Wallenberg Investments, and SKF. The initiative aims to reduce reliance on foreign cloud providers and build world-cla