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Background: Laryngoscopy is a difficult skill to acquire and maintain and even more so by less frequent users. Numerous studies have compared limitations of direct laryngoscopic (DL) and video-assisted laryngoscopic (VL) techniques for endotracheal intubation in different scenarios, but individual retention over time of intubation skills with either technique has, to our knowledge, never been repo
Protein-protein interactions can be challenging to study yet provide insights into how biological systems function. Targeted cross-linking mass spectrometry (TX-MS), a method combining quaternary protein structure modeling and chemical cross-linking mass spectrometry, creates high-accuracy structure models using data obtained from complex, unfractionated samples. This removes one of the major obst
Rosemary Hakim won the first Miss Lebanon-America beauty pageant in 1954. While the pageant celebrated the Lebanese American community in the US, Hakim’s strategic use of her new representative status allowed her to go beyond the organizer’s intentions. She contacted the Lebanese government and secured an invitation to Beirut, which propelled her into the middle of US Cold War politics and cultura
We prove a bijective unitary correspondence between (1) the isospectral torus of almost-periodic, absolutely continuous CMV matrices having fixed finite-gap spectrum E and (2) special periodic block-CMV matrices satisfying a Magic Formula. This latter class arises as E-dependent operator Möbius transforms of certain generating CMV matrices that are periodic up to a rotational phase; for this reaso
Mesenchymal cells are important components of specified niches in the lung, and can mediate a wide range of processes including tissue regeneration and repair. Dysregulation of these processes can lead to improper remodeling of tissue as observed in several lung diseases. The mesenchymal cells responsible remain poorly described, partially due to the heterogenic nature of the mesenchymal compartme
The belly dancer Ashea Wabe reached national fame as ‘Little Egypt’ in her provocative performances on and off stage in the late nineteenth century. I argue that her strategic embodiment of colonial harem fantasies was integral to the development of an American harem scenario that merges orientalist fantasies with the specter of U.S. slavery.
Cell-free Massive MIMO systems consist of a large number of geographically distributed access points (APs) that serve the users by coherent joint transmission. The spectral efficiency (SE) achieved by each user depends on the power allocation: which APs that transmit to which users and with what power. In this article, we revisit the max-min and sum-SE power allocation policies, which have previou
Cell-free massive MIMO systems consist of many distributed access points with simple components that jointly serve the users. In millimeter wave bands, only a limited set of predetermined beams can be supported. In a network that consolidates these technologies, downlink analog beam selection stands as a challenging task for the network sum-rate maximization. Low-cost digital filters can improve t
Collaboration between academia and actors outside academia (AOAs) has been proclaimed as a way for society to confront challenges in different fields. This ‘participatory imperative’ is anchored in EU research policy. The paper explores the participatory imperative in contemporary Swedish aging research. Three kinds of motives for participatory research as a way to societal impact emerged in the s
Background and aims: This randomized cross-over study in healthy volunteers was designed primarily to evaluate the potential impact of investigator gender on electrical pain threshold (EPT) and corresponding pain intensity levels, and secondly to evaluate potential differences in those interventions between female and male study participants. Methods: Forty adult volunteers (22 females) were inclu
The paper explores knowledge recombination by analysing how knowledge networks in established technological fields influenced the formation of the emerging field of green shipping in the period 2007–2018. Previous research has demonstrated that embeddedness, proximity, and status are important mechanisms for the evolution of single technological fields. We investigate if these mechanisms also appl
We provide a comparative analysis of qualitative features of different numerical methods for the inhomogeneous geometric Brownian motion (IGBM). The limit distribution of the IGBM exists, its conditional and asymptotic mean and variance are known and the process can be characterised according to Feller's boundary classification. We compare the frequently used Euler–Maruyama and Milstein methods, t
The IDACstar (Internal Dose Assessment by Computer) software is a Monte Carlo based standalone MCNP input generator software developed to perform complex radiation dose calculations using both the paediatric and adult ICRP reference phantoms. An extension of the IDACstar software was applied to two different exposure scenarios. One of the scenarios was a hypothetical case of a contaminated diaper
Climate change and urbanization are two major challenges when planning for sustainable energy transition in cities. The common approach for energy demand estimation is using only typical meso-scale weather data in building energy models (BEMs), which underestimates the impacts of extreme climate and microclimate variations. To quantify the impacts of such underestimation on assessing the future en
As the second year of the COVID-19 pandemic begins, it remains clear that a massive increase in the ability to test for SARS-CoV-2 infections in a myriad of settings is critical to controlling the pandemic and to preparing for future outbreaks. The current gold standard for molecular diagnostics is the polymerase chain reaction (PCR), but the extraordinary and unmet demand for testing in a variety
Amyotrophic lateral sclerosis (ALS) is a complex disease that leads to motor neuron death. Despite heritability estimates of 52%, genome-wide association studies (GWASs) have discovered relatively few loci. We developed a machine learning approach called RefMap, which integrates functional genomics with GWAS summary statistics for gene discovery. With transcriptomic and epigenetic profiling of mot
