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Dissolved Organic Carbon (DOC) is a key component of the inland water carbon cycle, playing a critical role in water quality, aquatic ecosystem dynamics, and carbon flux assessments. In this study, we combine Sentinel-2 Multi-Spectral Instrument (MSI) data with in-situ water quality, meteorological, and temporal variables to predict DOC concentrations in Lake Erken, Sweden. Three Machine Learning
Combustion of NH3 with H2 addition can improve the combustion stability. In this study, the laminar burning velocities (LBVs) of NH3/H2/O2/CO2 mixtures were determined under atmospheric pressure and an initial temperature of 303 K by the heat flux method, spanning CO2 fractions of 0.50-0.75, H2 fractions of 0.20-0.70, and equivalence ratios of 0.6-1.5. Evaluations of three kinetic models (modified
Study regionThe study encompasses Sweden (450 000 km2) located on the Scandinavian Peninsula in northern Europe.Study focusWe quantified the future crop-water demand and water-irrigation needs of 30,000 km² arable land across Sweden to prepare for climate adaptation. We applied a spatially distributed catchment-scale (40,000 sub-basins) hydrological model with an irrigation routine according to FA
This chapter presents a semiotic analysis of gender advertisements, introducing a novel framework that advances the Transformative Advertising Research subfield. Using a semiotic square, it categorizes gender advertisements into gender-transformative, gender-conformative, gender-nontransformative, and gender-nonconformative terms, leading to six meta-categories: gender-stereotyping, gender-neutral
Introduction Endometriosis is a chronic, inflammatory and oestrogen-dependent disease frequently causing infertility. Assisted reproductive technologies (ART) are often required to achieve pregnancy, especially in women with advanced endometriosis. To date, there is no randomised controlled trial (RCT) exploring reproductive outcomes after first-line surgery followed by ART versus first-line ART i
Neuromorphic hardware can mitigate the unsustainable energy demand of artificial intelligence infrastructure. Photonic approaches provide high speed, low energy, and high connectivity but existing solutions have large circuit footprints which limits scaling potential and they miss key biological functions, like inhibition. We report a nano-optoelectronic artificial neuron with at least 100-fold re
I promemorian Ersättning vid rådighetsinskränkningar till följd av artskyddet föreslås bl.a. en ersättning i enlighet med expropriationslagens ersättningsregler. När promemorian nu har varit ute på remiss kan vi konstatera att det finns en utbredd missuppfattning om vad expropriationslagen egentligen ersätter.
Amid growing global uncertainty, including war, extreme weather events, and resource instability, self-sufficiency and resilience become crucial. Socio-ecological resilience refers to the capacity of communities to regenerate ecological systems while fostering social cohesion and adaptability. This study aims to establish mechanisms contributing to socio-ecological resilience in a rural setting. A
Accurate three-dimensional (3D) tracking of dynamic particles in highly scattering, reacting environments like metal combustion remains challenging for conventional particle tracking velocimetry (PTV). While digital holography enables volumetric imaging, traditional holographic PTV suffers from significant depth positioning errors and velocity fluctuations due to inefficient frame-by-frame process
Surgery is often viewed as a lifesaving intervention, yet recovery depends just as much on what follows. The concept of individualised anaesthesia and analgesia in surgery challenges the traditional one-size-fits-all model by tailoring care to each patient's physiological and psychological profile, with the potential to improve outcomes, reduce complications, and enhance the patient experience. Ma
Precision medicine for complex diseases uses individual-level characteristics to improve prediction of risk, therapeutic response and prognosis. Many precision medicine studies leverage existing data types and analytic methods to reveal new insights; however, beyond oncology, there has been limited success in translating precision medicine research for complex diseases into clinical practice. Thus
Background: Climate change is emerging as a major global health crisis, escalating occupational hazards across all sectors and exacerbating social inequalities. Workers, especially those in outdoor, informal, and precarious employment are increasingly exposed to multiple hazards, leading to adverse physical and mental health outcomes, productivity losses, and premature death. Objective: This comme
Background A valid definition of severe heart failure (HF) is essential for earlier identification, timely referral for advanced therapies, and to optimize clinical trial design. Objectives To assess the prevalence, prognostic performance, and 1-year outcomes associated with different definitions of severe and advanced HF (AdvHF) in patients with heart failure with reduced ejection fraction (HFrEF
Coastal dunes provide critical flood protection for low-lying coastal areas, raising the question of whether these defenses can be maintained in a future climate. Dune development is driven by interactions between sediment transport and vegetation growth. Both processes are affected by climate, notably changes in precipitation. However, tools to assess future precipitation impacts on dune developm
