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The human influence on Earth's ecosystems is omnipresent. Artificial light at night (ALAN), anthropogenic noise, and air pollution are inherent features of human activities and infrastructure and pose novel environmental challenges to urban-dwelling wildlife. So far, most of the studies investigating the impacts of exposure to urban pollutants on animals have either investigated the effects of urb

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The impact of livestock grazing on soil organic carbon (SOC) stocks in the Sahel has been poorly documented due to a lack of data from different grazing intensities. This study evaluated SOC stocks under four grazing intensities within 0–30 cm soil depth in dry savanna ecosystems of Senegal. It also examined possible indirect relationships between grazing and SOC through herbaceous species diversi

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Spectroscopic imaging is a widely employed diagnostic approach with applications span-ning several different disciplines. Although color-sensitive cameras are very common and used for everyday photography, scientific applications often require highly specific color sensitivity to avoid signal cross-talk and misinterpretations. Such systems are primarily based on sequential acquisition configuratio

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This paper implements and validates a real-time Energy Management System (EMS) for DC microgrid operation using a power hardware-in-the-loop (PHIL) test bench. The test bench replicates renewable sources, a general load, and a Hybrid Energy Storage System (ESS) comprising a battery, an emulated fuel cell, an emulated electrolyzer, and a virtual hydrogen tank. Constructed with dSPACE and Simulink,

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We use the introduction of covered bonds in Norway in 2007 together with administrative and supervisory data at the bank and loan level to investigate the effect of asset encumbrance, that is, pledging assets as collateral, on the composition of bank balance sheets and bank risk. We show that covered bonds—despite being collateralized with mortgages—lead to a shift in bank lending from mortgages t

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Using a new dataset on fossil fuel funding, this paper examines bank responses to Germany’s 2020 coal phase-out decision. German banks reduced fossil fuel financing relative to other banks but not coal funding. Globally, banks increased underwriting for coal companies relative to other fossil fuel firms. Firms with entirely coal-based post-sample power production received more funding, indicating

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In a world characterized by democratic decline, this book explores the ways in which struggles for feminist, queer and trans rights build imaginaries and shared hopes. Drawing on global and local ethnographic studies, contributors examine protests against the rise of ultra-conservative, right-wing, anti-gender and anti-feminist actors.Contending with neoliberal regimes and actors pursuing a politi

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The incidence of melanoma is rising and will require more efficient diagnostic procedures to meet a growing demand. Excisional biopsy and histopathology is still the standard, which often requires multiple surgical incisions with increasing margins due inaccurate visual assessment of where the melanoma borders to healthy tissue. This challenge stems, in part, from the inability to reliably delinea

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Japan’s problem of vacant homes has drawn global media attention, but the situation may not be as dire as once predicted. While a 2015 report estimated a vacancy rate of 20.1 per cent by 2023, the actual figure was 13.8 per cent, thanks in part to policy reforms, awareness campaigns and grassroots efforts. Yet challenges remain amid an ageing population. Japan’s evolving approach offers valuable l

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Investigating metal-semiconductor interfaces is crucial for enabling ultra-thin film growth and tuning the electronic properties. Here we have studied the atomic mechanism of Bi incorporation into the surface of InSb, the III-V semiconductor with the largest spin-orbit coupling, using surface science techniques and theoretical modeling. Bi deposition onto Sb-terminated InSb(111) surfaces at elevat

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Ammonia has been considered a promising carbon-free fuel for marine engines. However, its low flame speed and high nitrogen oxides (NOx) and nitrous oxide (N2O) emissions present significant challenges. To address these issues, novel combustion concepts, such as ammonia/diesel dual-fuel Reactivity-Controlled Compression Ignition (RCCI) engines, have been proposed. This paper presents a detailed in

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In this paper, deep learning is involved to comprehend thermoacoustic instability more deeply and achieve early warning more reliably. Flame images and pressure series are acquired in model combustors. A total of seven data domains are obtained by changing the combustor structural parameters. Then, the pre-trained model TIPE (Thermoacoustic Image-Pressure Encoder), containing an image encoder with