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The genetic basis of floral variation in Senecio jacobaea (Asteraceae)

The self-incompatible composite Senecio Jacobaea (ragwort) exhibits geographic variation in the frequency of rayed and discoid (rayless) individuals. Hybrid progenies from within- and between-morph crosses were established in a seminatural (garden) environment to determine whether patterns of segregation conform to single-gene predictions (as found in other Senecio species), whether the direction

Triple collocation-based error estimation and data fusion of global gridded precipitation products over the Yangtze River basin

Error estimation and data fusion are critical to improving the accuracy of global model- and satellite-based precipitation products for practical applications. However, they face challenges over vast areas of the world due to limited ground observations. Triple collocation (TC) method can overcome this limitation and provide an efficient way for error estimation without the “ground truth” and thus

Floral scent and pollinator visitation in relation to floral colour morph in the mixed-mating annual herb Collinsia heterophylla

Even though floral scent is of major importance for pollinator attraction, it is less investigated than other floral traits. Previous studies suggest the importance of joint exploration of olfactory and visual floral cues to understand plant–pollinator interactions. We investigated flower scents in Collinsia heterophylla, a bee-pollinated, annual herb a with mixed-mating system combining self- and

Compton-thick active galactic nuclei from the 7 Ms observation in the Chandra Deep Field South

We present the X-ray spectroscopic study of the Compton-thick (CT) active galactic nuclei (AGN) population within the Chandra Deep Field South (CDF-S) by using the deepest X-ray observation to date, the Chandra 7 Ms observation of the CDF-S. We combined an optimized version of our automated selection technique and a Bayesian Monte Carlo Markov chains (MCMC) spectral fitting procedure, to develop a

Benefits of Neurohormonal Therapy in Patients With Continuous-Flow Left Ventricular Assist Devices

Left ventricular assist devices (LVADs) have dramatically improved short-term outcomes among patients with advanced heart failure. While neurohormonal blockade (NHB) is the cornerstone of treatment for patients with heart failure with reduced ejection fraction, its effect after LVAD placement has not been established. We reviewed medical records of 307 patients who underwent primary LVAD implantat

Crystallography of low Z material at ultrahigh pressure : Case study on solid hydrogen

Diamond anvil cell techniques have been improved to allow access to the multimegabar ultrahigh-pressure region for exploring novel phenomena in condensed matter. However, the only way to determine crystal structures of materials above 100 GPa, namely, X-ray diffraction (XRD), especially for low Z materials, remains nontrivial in the ultrahigh-pressure region, even with the availability of brillian

Evaluation of the diagnostic accuracy of an online artificial intelligence application for skin disease diagnosis

Artificial intelligence (AI) algorithms for automated classification of skin diseases are available to the con-sumer market. Studies of their diagnostic accuracy are rare. We assessed the diagnostic accuracy of an open-access AI application (Skin Image Search™) for recognition of skin diseases. Clinical images including tumours, infective and inflammatory skin diseases were collected at the Depart

Spatial tumor immune microenvironment phenotypes in ovarian cancer

Immunotherapy has largely failed in ovarian carcinoma (OC), likely due to that the vast tumor heterogeneity and variation in immune response have hampered clinical trial outcomes. Tumor-immune microenvironment (TIME) profiling may aid in stratification of OC tumors for guiding treatment selection. Here, we used Digital Spatial Profiling combined with image analysis to characterize regions of spati

Joint genotype- and ancestry-based genome-wide association studies in admixed populations

In genome-wide association studies (GWAS) genetic loci that influence complex traits are localized by inspecting associations between genotypes of genetic markers and the values of the trait of interest. On the other hand, admixture mapping, which is performed in case of populations consisting of a recent mix of two ancestral groups, relies on the ancestry information at each locus (locus-specific

Eosinophils—from cradle to grave

Over the past years, eosinophils have become a focus of scientific interest, especially in the context of their recently uncovered functions (e.g. antiviral, anti-inflammatory, regulatory). These versatile cells display both beneficial and detrimental activities under various physiological and pathological conditions. Eosinophils are involved in the pathogenesis of many diseases which can be class

Predictive modeling and estimation of moisture damages in Swedish buildings : A machine learning approach

Identifying potential moisture damage is crucial for maintenance practices and assurance of well-being of occupants. However, due to limited information availability and standardization, assessing damage prevalence on the building stock scale remains understudied. By combining investigation records and building databases, this study leverages data analytic techniques and machine learning modeling

Tuning structure and morphology of lipidic cubosomes by encapsulation of novel porphyrin-derivatives

Cubosomes are non-lamellar lipid nanoparticles that have drawn a significant attention in the field of nanomedicine due to their tunable properties. However, the formation of vesicles during the preparation of cubosomes, and the presence of mixed bicontinuous cubic phases, may lead to artifacts and lack of correlation between the physico-chemical and biological characterization. In this work, we h

Labor productivity impact of Internet infrastructure: evidence from a panel data

The study aims to shed more light on the relationship between Internet penetration and labor productivity by analyzing the aggregate cross-country panel data available for a wide range of countries in the period of 2001-2015. An overview of hypothetical mechanisms behind the communication technologies’ impact on productivity is provided, while the Augmented Solow model is used as a theoretic frame

Implementering av IoT på kurvsmörjningsapparatur

In addition to various switch and track materials, Vossloh Nordic Switch Systems AB have a wayside lubrication device, Clicomatic© in their product range. Clicomatic© is a lubricator intended for fixed installation to mainly lubricate the railway track at exposed sections. Its purpose is to apply grease in the active interface between the vehicle and the track. Clicomatic© was developed decades ag

Passive Houses in Sweden. From Design to Evaluation of Four Demonstration Projects.

Popular Abstract in Swedish Energianvändningen i världen måste minska drastiskt inom en snar framtid för att därmed minska utsläppen av växthusgaser och bromsa klimatförändringarna. Energi och handlande med energikällor har även blivit nationella säkerhetsfrågor. Inom Europeiska Unionen används ungefär 40% av den totala energianvändningen i byggnader, vilket innebär ungefär 36% av det totala koldiThe use of energy is a major global issue both according to climate changes but also in the aspect of national safety tied to the trade with energy sources. Of the total energy use in the member states of the European Union, about 40% is used in residential and commercial buildings. Passive houses are one way to reduce the energy use in buildings and at the same time keep a good indoor comfort. Th

A systematic overview of the first pasteurised VWF/FVIII medicinal product, Haemate P/ Humate -P: history and clinical performance.

Patients with von Willebrand disease (VWD) and haemophilia A (HA) lack, to varying degrees, the von Willebrand factor (VWF) and coagulation factor VIII (FVIII) that are critical for normal haemostasis. These conditions in turn make patients prone to uncontrolled bleeding. Historically, patients with severe forms of VWD or HA were crippled before adulthood and their life expectancy was significantl

Propagation pattern analysis during atrial fibrillation based on sparse modeling

Abstract in UndeterminedIn this study, sparse modeling is introduced for the estimation of propagation patterns in intracardiac atrial fibrillation (AF) signals. The estimation is based on the partial directed coherence function, derived from fitting a multivariate autoregressive model to the observed signal using least-squares (LS) estimation. The propagation pattern analysis incorporates prior i

A comparison of different initialization protocols to obtain statistically independent molecular dynamics simulations.

We study how the results of molecular dynamics (MD) simulations are affected by various choices during the setup, e.g., the starting velocities, the solvation, the location of protons, the conformation of His, Asn, and Gln residues, the protonation and titration of His residues, and the treatment of alternative conformations. We estimate the binding affinity of ligands to four proteins calculated

Standardization of measurement of beta-amyloid(1-42) in cerebrospinal fluid and plasma

The standardization and clinical validation of the measurement of beta-amyloid(1-42) (Abeta42) in cerebrospinal fluid (CSF), plasma and urine is described using a commercially available sandwich-type ELISA with 21F12 and 3D6 as monoclonal antibodies. The INNOTEST beta-amyloid(1-42) allows the specific and reliable measurement of(1-42) amyloid peptides in CSF and plasma. The Abeta42 concentrations

Waste Heat Recovery from Multiple Heat Sources in a HD Truck Diesel Engine Using a Rankine Cycle - A Theoretical Evaluation

Few previous publications investigate the possibility of combining multiple waste heat sources in a combustion engine waste heat recovery system. A waste heat recovery system for a HD truck diesel engine is evaluated for utilizing multiple heat sources found in a conventional HD diesel engine. In this type of engine more than 50% of heat energy goes futile. The majority of the heat energy is lost