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Supply chain risk management (SCRM) is a common practice for most supply chains. It involves the processes of identifying, assessing, mitigating, and monitoring the risks of providing products and services within the supply chain. Many supply chains have prepared to deal with the uncertainties which may interrupt their supply chain operations. This research is interested to find the current SCRM p
In this work, we investigate the cryogenic performance of hafnia-based ferroelectric capacitors with and without an aluminum oxide (ALO) interlayer, comparing conventional metal-ferroelectric-metal (MFM) structures to metal-ferroelectric-insulator-metal (MFIM) counterparts. Devices employing Hf0.5Zr0.5O2 as the ferroelectric layer were characterized from 300 K down to 10 K, targeting temperature r
This article assesses the determinants of intragenerational social mobility across occupational trajectories in Southern Europe, focusing on Catalonia (1880s–1950s). Using a novel longitudinal database of individuals born 1870–1909 in the Baix Llobregat area, we examine sibling correlations in occupational status as a proxy for family socioeconomic resemblance and trace career progression across e
In the mid- to late 1970s, the Swedish economy faced a profit squeeze which threatened to hamper investments and the creation of jobs. This engendered a massive debate in the media and among economists and policymakers. This article investigates what I call ‘the politics of profits, the debates around the role of corporate profits in a democratic capitalist society and economy and the policy measu
The radioactive noble gas radon (222Rn) is a suitable tracer for atmospheric transport and mixing processes that can be used to evaluate and calibrate atmospheric transport models or to estimate greenhouse gas (GHG) emissions using the so-called radon tracer method (RTM). However, these applications require reliable estimates of the 222Rn fluxes from the soil. This study evaluates two process-base
The urgent need to address climate change and pollution prompts societies worldwide to adopt carbon neutral energy and electrification. To facilitate this, a range of technologies and policies will be needed. Alternatives to traditional power grid reinforcement, such as grid-enhancing technologies and system automation, are particularly attractive due to their potentially low cost and fast deploym
Metallic infrastructure, such as steel sheet situated within landfills, poses significant challenges to accurate tracking of leachate using induced polarization (IP) methods. The application of IP method is efficient to delineate leakage; however, the presence of metallic structures can cause an interference on the survey and generate high-chargeability anomalies as observed in field survey. To co
Lidar is a powerful technique normally associated with atmospheric monitoring. However, lidar techniques, also of the laser-induced fluorescence and laser-induced breakdown spectroscopy varieties, provide many new possibilities in unconventional fields including cultural heritage and ecological applications.
The Cherenkov Telescope Array Observatory (CTAO) is the next-generation ground-based gamma-ray observatory currently under construction. It will improve over the current generation of imaging atmospheric Cherenkov telescopes (IACTs) by a factor of five to ten in sensitivity and it will be able to observe the whole sky from a combination of two sites: a northern site in La Palma, Spain, and a south
While Ellis, Reid, and Kramer’s life history framework is convincing in explaining individual variation in life history strategies, it has certain limitations, which we discuss – drawing notably on the economic theory of fertility choice. In particular, we suggest that ambient cues to extrinsic mortality alone are not sufficient to trigger sustained net fertility decline.
Ung och skuldtyngd ger en djupgående inblick i upplevelsen av att som ung vuxen leva med skuldsättningsproblem - överskuldsättning - i dagens moderna konsumtions- och kreditsamhälle. Under två års tid har forskarna genom upprepade etnografiska intervjuer följt 18 personer mellan 18 och 25 år som är överskuldsatta. Resultaten besvarar frågor som: Hur kommer det sig att unga personer får problem med
The field of extracellular vesicles (EVs) is rapidly advancing, offering promising applications in diagnostics, therapeutics, and drug delivery. However, the translation of EV-based technologies to the clinic faces significant challenges related to heterogeneity, scalable biomanufacturing, and regulatory compliance. To address these issues, the European Innovation Council (EIC), in collaboration w
Epigenetic drift, which is gradual age-related changes in DNA methylation patterns, plays a significant role in aging and age-related diseases. However, the relationship between exercise, epigenetics, and aging, and the molecular mechanisms underlying their interactions are poorly understood. Here, we investigated the relationship between cardiorespiratory fitness (CRF), epigenetic aging, and prom
Background: This study compared levels of physical activity (PA) and sedentary behavior (SB) in adults with and without chronic diseases or multimorbidity, acknowledging sociodemographic factors. Methods: A cross-sectional analysis was conducted with data from 27,890 participants (52% women), aged 50–64, from the Swedish CArdioPulmonary bioImage Study cohort. Over 1500 chronic diseases were includ
LIDAR techniques have been extensively used for studies of aerosol particles. Fluorescence LIDAR was employed for studying natural bio aerosols, such as pollen, but also possible warfare agents. Insects, being "large aerosol" particles clearly give rise to LIDAR returns. Recently, honey bees were studied by polarization reflectance LIDAR and their superior olfactory abilities were used in attempts
As a crucial tool for enhancing the readability and comprehensibility of geoinformation, automated label placement in mapping applications remains a significant challenge, particularly when generalizing the label placement process for high-density maps, despite the availability of tools such as QGIS-PAL and ArcGIS-Maplex label engine. This study focuses on utilizing deep learning (DL) for road lab
