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Introduction: Molecular oxygen is the most common oxidizer in nature. Since it has been part of evolution, it is heavily incorporated into biological systems, the most significant being cellular respiration, glycolysis, and the citric acid cycle. Luckily, molecular oxygen can also be used as an oxidizer in the lab, and with the right conditions, to generate 1,2-dicarbonyl compounds. Background
The far-infrared (FIR) fine structure lines [C II]158 μm, [O III]88 μm, [N II]122 μm, and [N III]57 μm are excellent tools for probing the physical conditions of the interstellar medium (ISM). The [O III]88 μm/[C II]158 μm and [O III]88 μm/[N II]122 μm luminosity ratios have shown to be promising tracers of the ionisation state and gas-phase metallicity of the ISM. Observations of galaxies at reds
Molecular docking is a computational approach that predicts interactions between ligands and protein targets based on binding energies. In this study, the potential interactions of 1,8-cineole -one of the dominant components of Eucalyptus globulus oil- with the main protease (Mpro) and macrodomain (MacI) of SARS-CoV-2 were studied by molecular docking. Nine Mpro and four ManI structures available
Background: Bioresorbable scaffolds have been associated with inferior outcomes compared to contemporary permanent metallic drug-eluting stents (DES) for percutaneous coronary intervention, particularly within the initial years after implantation; however, their long-term performance remains uncertain. This study aimed to evaluate the long-term outcomes of Swedish patients treated with Absorb bior
This letter presents sufficient conditions for optimal control of systems with dynamics given by a linear operator, in order to obtain an explicit solution to the Bellman equation that can be calculated in a distributed fashion. Further, the class of Linearly Solvable MDP is reformulated as a continuous-state optimal control problem. It is shown that this class naturally satisfies the conditions f
Phase retrieval is a fundamental problem in optics, particularly in ptychography, where reconstructing an unknown wavefield from intensity-only measurements poses significant computational challenges. In this work, we introduce a novel phase retrieval method using the bilinear Hessian and Hessian operator to improve optimization efficiency. By formulating the problem in a differential calculus fra
In the face of escalating climate risks and impacts, the majority of people will not be able to move, will choose not to move, or may perhaps temporarily move and return to their homes. Understanding immobility in the context of climate change is thus essential to support the development of equitable and effective adaptation strategies and the resilience of people and communities that remain in at
This chapter focuses on how sense of coherence (SOC) impacts health, mental health, QoL and health behaviour, presenting the current state of knowledge from a population and a professional perspective. The first research around the SOC concept was focused on general samples in large population studies aiming at testing the SOC scales. Thereafter, professionals in the health-care sector run researc
The vast bandwidth available at sub-THz frequencies holds great promise for high-speed wireless access, precise localization, and advanced sensing applications. However, fundamental physical constraints and technological limitations make the deployment of reliable sub-THz networks challenging. We propose a new paradigm for sub-THz coverage by transmitting the RF signals over polymer microwave fibe
This article develops Border Work (BW) as a theoretical concept and methodological approach, underexplored in socio-legal scholar-activism, through analysing two distinct examples: Noor, who applied for protection, and her individual and collective struggle for residency and the making of a manifesto against borders. While both examples depart from feminist methodology, the differences are stark:
Background: HIV-related stigma interventions targeting adolescents living with HIV (ALHIV) are limited. When available, most of these interventions operate at a single socioecological level and target a single stigma domain, and participatory design is rare. Objective: This study aimed to explore the psychosocial support intervention needs of ALHIV from the perspectives of adolescents, caregivers,
Elevated air temperature and atmospheric vapor pressure deficit (VPD) are key drivers of plant physiological and ecological processes. However, their relative impacts on vegetation productivity remain difficult to isolate due to the strong coupling between them. This coupling complicates efforts to disentangle independent effects, particularly under compound drought conditions at regional or globa
Previous research shows that welfare cuts often cause distress amongst frontline workers. From the perspective of organisations implementing cuts, distressed caseworkers may hinder cost reductions and delay implementation. However, previous research has not analysed whether public agencies seek to reduce the moral distress experienced by their employees. This article examines the reorganisation of
Background General adiposity, assessed by body mass index (BMI), is a well-established cancer risk factor. This study compared waist circumference (WC), a measure of abdominal adiposity, with BMI as a risk factor for obesity-related cancers, and assessed whether WC provides additional information beyond BMI. Methods We analyzed data from 339 190 individuals in a pooled Swedish cohort with baseline
Changes in temperature and rainfall associated with altered climatic conditions are likely to significantly alter rates of soil organic matter decomposition. To determine how the combined effects of warming and drought impact the decomposition of fungal necromass, a large and fast-cycling portion of the global soil organic carbon (C) pool, we incubated Hyaloscypha bicolor necromass under both ambi
Generative AI with spectroscopy is an innovative approach that combines artificial intelligence techniques with spectroscopic analysis, enabling researchers to extract valuable insights from complex spectral data more efficiently and accurately. AI can create high-precision synthetic spectra, enhance signal-to-noise ratios, and support spectral reconstruction by employing deep learning techniques
For several decades, it was widely believed that a noninteracting disordered electronic system could only undergo an Anderson metal–insulator transition due to Anderson localization. However, numerous recent theoretical works have predicted the existence of a disorder-driven non-Anderson phase transition that differs from Anderson localization. The frustration lies in the fact that this non-Anders
The advent of AlphaFold and consumer large language models have elicited unprecedented development of artificial intelligence (AI). AI has had substantial impact in every area of research, including in molecular biology. This is principally in thanks to contributions to the Protein Data Bank and various genome sequence databases, providing an astronomical amount of data for model training. These d
Ethylcellulose thickened oil (EC oleogels) has a significant retarding effect on lipolysis and may be used for controlled-release formulations. However, the high temperature (above 150 °C) used during the gel-forming process becomes an obvious limitation that hinders the application of EC oleogels to temperature-sensitive active ingredients. A cold-mixing procedure that could allow for an encapsul
