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Understanding how the design of high-pressure homogenizer valves influence pressure losses in the device is of general interest for performance optimizing, and of special importance for developing correlations for predicting gap heights and gap velocities. The traditionally used correlation is from 1975 and based on a limited experimental dataset on gaps that are longer and often of lower capacity
This chapter explores elite boundary crossing between civil society and other societal sectors—including the state, party politics, and business—and how this may lead to inter-elite integration. We illustrate how qualitative life-work history interviews provide an important complement to established quantitative approaches to the study of elite integration. Through these interviews, we explore the
Purpose: Ultrahypofractionated (UHF) radiation therapy (RT) has become a treatment alternative for patients with localized prostate cancer. In more advanced cases, seminal vesicles (SVs) are routinely included in the target volume. The Scandinavian HYPO-RT-PC trial, which compared 42.7 Gy in 7 fractions (fr) to conventional fractionation (CF), did not include SVs in the clinical target volume. The
En grön skolgård med många olika träd, buskar och blommor ger stora pedagogiska möjligheter, stärker den biologiska mångfalden, motverkar klimatförändringar och bidrar till barns hälsa och utveckling. Ändå är det idag få kommuner i landet som aktivt satsar på att utveckla skolgårdar med dessa kvaliteter. Finansiering av gröna skolgårdsprojekt behöver öka som en grund för en hållbar framtid!
In this study, we aimed to explore the frequency of use and perceived usefulness of LLM generative AI chatbots (e.g., ChatGPT) for schoolwork, particularly in relation to adolescents’ executive functioning (EF), which includes critical cognitive processes like planning, inhibition, and cognitive flexibility essential for academic success. Two studies were conducted, encompassing both younger (Stud
BACKGROUND: Breastfeeding in public continues to be contentious with qualitative evidence confirming that women face many challenges. It is therefore important to gain understanding of not only the challenges but also what women perceive is helpful to breastfeed in public.METHODS: A cross-sectional study was conducted with women living in Australia, Ireland or Sweden currently breastfeeding or hav
Despite uneventful primary surgery, patients with cleft palate may experience velopharyngeal insufficiency (VPI) and hypernasal speech. Videoradiography of velopharynx is a commonly used method to visualize velopharyngeal function and a velopharyngeal flap is often used to counteract VPI. The aim of this study was to investigate whether the frontal projection on videoradiography plays a role in th
Objective. The aim of this study was to prospectively assess the development of 24 urinary, gastrointestinal and sexual symptoms in patients with prostate cancer (PCa) during and after image-guided volumetric modulated arc therapy (IG-VMAT). Material and methods. A total of 87 patients with PCa participated in this study. The patients were asked to complete a modified version of the Prostate Cance
BACKGROUND: Anastomotic stricture (AS) is the most frequently occurring complication that occurs after esophageal atresia (EA) repair. Nevertheless, the pathogenesis remains primarily unknown and there is inadequate knowledge regarding the risk factors for AS. Therefore, a systematic review of the literature and a meta-analysis was performed to investigate whether gender and birth weight were risk
We present a structural analysis of halo star clusters in M31 based on deep Hubble Space Telescope (HST) Advanced Camera for Surveys (ACS) imaging. The clusters in our sample span a range in galactocentric projected distance from 13 to 100 kpc and thus reside in rather remote environments. Ten of the clusters are classical globulars, whilst four are from the Huxor et al. population of extended, ol
Objective: To investigate the hypothesis that cardiovascular risk factors increase the likelihood of future osteoarthritis (OA)-related arthroplasty in adult men and women. Methods: Baseline cohort data on cardiovascular risk factors [age, socio-economic class, family history, obesity, smoking, glucose, cholesterol, blood pressure, and early cardiovascular disease (CVD) history] were linked to cli
Cell abundances and distributions of Alexandrium catenella resting cysts in recent sediments were studied along time at two locations in the Chilean Inland Sea exposed to different oceanographic conditions: Low Bay, which is much more open to the ocean than the more interior and protected Ovalada Island. The bloom began in interior areas but maximum cyst concentrations were recorded in locations m
Urban water systems are facing growing challenges, including climate change and aging assets. Digital transformation presents opportunities to address these issues. However, water utilities often encounter barriers such as fragmented initiatives, organizational inertia, and lack of systems interoperability, limiting the scalability and impact of digitalization efforts. This paper presents a strate
Background: Optimal long-term follow-up (LTFU) care for survivors of childhood, adolescent and young adult (CAYA) cancer can improve or maintain their quality of life by prevention and early treatment of late effects. However, optimal LTFU care is not provided to all CAYA cancer survivors. This systematic review sought to identify associated barriers, facilitators and other factors of LTFU care fo
Uronate isomerase (EC 5.3.1.12; URI) catalyzes uronate sugar interconversion, a key step in bacterial metabolism, yet its reaction mechanism remains poorly understood. This study delineates the detailed mechanism for the isomerization of d-glucuronate to d-fructuronate catalyzed by a Zn2+-dependent URI enzyme (from Bacillus halodurans). Using quantum mechanical (QM) cluster calculations, three mec
Deep learning has advanced flood forecasting through its strong nonlinear modeling capabilities. However, accuracy declines and robustness remain insufficient at longer forecast lead times. Therefore, an evolutionary deep learning model for flood forecasting was developed by integrating time-varying filter-based empirical mode decomposition (TVFEMD), sample entropy-based signal reconstruction (SE)
