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A regenerative design strategy for the railway barrier in Praga Północ, Warsaw

What happens when the infrastructure designed to connect a city ends up dividing it instead? This thesis investigates the relationship between urban mobility and spatial justice, examining how roads, railways, and transit corridors generate barriers that are not only physical but social and cultural: separating communities, limiting access to opportunity, and reinforcing patterns of inequality ins

Beyond synaptic plasticity : a summary of a linear model of the cerebellar locomotor computation

We present a summary of ideas that attempt to explain how the locomotor cerebellum may represent and process information. It includes the proposals that (i) the main network computation is a passive and unlearned effect of cell type morphologies and neural architecture; (ii) information has topographically defined spatial dimensions; (iii) it is coded at collective level, at any instant, in any ra

Tailoring the Normal and Superconducting State Properties of Ternary Scandium Tellurides, Sc6MTe2 (M = Fe, Ru, and Ir) Through Chemical Substitution

The pursuit of a unifying theory for non-BCS superconductivity has faced significant challenges. One approach to overcome such challenges is to perform systematic investigations into superconductors containing d-electron metals in order to elucidate their underlying mechanisms. Recently, the Sc6MTe2 (M = d-electron metal) family has emerged as a unique series of isostructural compounds exhibiting

Coexisting Multiple Charge Orders and Magnetism in the Kagome Superconductor LaRu3Si2

The Kagome lattice has emerged as a promising platform for hosting unconventional chiral charge orders at high temperatures. In the context of the correlated Kagome superconductor LaRu3Si2, a room-temperature charge-ordered state with a propagation vector of ((Formula presented.), 0, 0) is previously reported. However, understanding the interplay between this charge order and superconductivity, pa

Modeling Willingness to Pay for Freshwater Ecosystem Services in the Central Andes

Freshwater ecosystems in the central Andes provide critical ecosystem services (ES), including water purification, baseflow regulation, groundwater recharge, and cultural and recreational benefits. However, these high-mountain systems are increasingly threatened by changing land use, climate variability, and accelerating pressure on water resources. Understanding local willingness to pay for conse

Correlation between the dome-shaped superconducting phase diagram, charge order, and normal-state electronic properties in LaRu3Si2

The interplay between superconductivity and charge or spin order is a key focus in condensed matter physics, with kagome lattice systems providing unique insights. The kagome superconductor LaRu3Si2 (Tc ≃ 6.5 K) features a characteristic kagome band structure and a hierarchy of charge order transitions at Tco,I ≃ 400 K and Tco,II ≃ 80 K, along with an additional transition at T* ≃ 35 K associated

Pressure induced transition from chiral charge order to time-reversal symmetry-breaking superconducting state in Nb-doped CsV3Sb5

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)

Decoding Water Quality Across the Danube River Basin : Evidence from stressor-based watershed typologies and ecosystem service potential assessments

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

Long-term oncological outcomes after salvage surgery for anal squamous cell carcinoma – a national cohort study

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

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

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

Modeling spatiotemporal distribution of yellow rust wheat pathogen using machine learning algorithms : Insights from environmental assessment

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

Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia

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

A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS

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

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

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

Improving Robustness and Resilience of Bridges : A brief summary of current practices for design, monitoring, and maintenance

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

Determination of nonlinear elastic coefficients in piezoelectric 31-mode transducers using constant current measurements

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

Temporal evolution of thermoacoustic streaming around a spatially confined temperature gradient

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