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MCDF calculations for the lowest excited states in the Zn-like sequence

We report on large scale ab initio calculation for the 4s(2) S-1(0)-4s4p P-1,3(0,1,2) transitions in the zinc-like sequence, using the multiconfiguration Dirac Fock ( MCDF) method. Our attention is focused on the spin-forbidden transition 4s(2) S-1(0)-4s4p P-3(1) and the hyperfine- induced ( HPF) transition 4s(2) S-1(0)-4s4p P-3(0) for ions between Z = 30 ( Zn) and Z = 47 ( Ag). Our results provid

Towards accurate measurement of methanol combustion emissions : Calibration and Insights for flame ionization detectors and Fourier transform infrared analyzers

Methanol is a promising renewable fuel that can be used to reduce the carbon intensity of internal combustion engines. In any combustion strategy with methanol, both unburned methanol and formaldehyde emissions are criteria pollutants that are potential drawbacks, so their accurate measurement is critical. The flame ionization detectors (FIDs) typically used in engine research to measure unburned

Validation of the Swedish Knee Arthroplasty Register: a postal survey regarding 30,376 knees operated on between 1975 and 1995

The Swedish Knee Arthroplasty Register is dependent on the participating clinics regarding accuracy of information. As the register is prospective, and since revision is used as the endpoint in survival analyses, it is important that all revisions of registered primary arthroplasties are reported. To validate the register, we sent a questionnaire to all living patients with 30,796 knees registered

The GALAH survey : The data reduction pipeline

We present the data reduction procedures being used by the GALactic Archeology with Hermes (GALAH) survey, carried out with the HERMES fibre-fed, multi-object spectrograph on the 3.9-m Anglo-Australian Telescope. GALAH is a unique survey, targeting 1 million stars brighter than magnitude V = 14 at a resolution of 28 000 with a goal to measure the abundances of 29 elements. Such a large number of h

Retrieving crop albedo based on radar sentinel-1 and random forest approach

Monitoring agricultural crops is of paramount importance for preserving water resources and increasing water efficiency over semi-arid areas. This can be achieved by modelling the water resources all along the growing season through the coupled water–surface energy balance. Surface albedo is a key land surface variable to constrain the surface radiation budget and hence the coupled water–surface e

How good is the agreement between clinical diagnoses and classification criteria fulfilment in axial spondyloarthritis? Results from the SPARTAKUS cohort

Objectives: To study the agreement between clinical axial spondyloarthritis (axSpA) diagnoses and fulfilment of the Assessment of SpondyloArthritis international Society (ASAS) axSpA and modified New York (mNY) classification criteria, and to compare disease/health status between axSpA subtypes. Method: Patients with prevalent, clinical axSpA attending a rheumatology clinic were enrolled in a cros

SOLD2 : Self-supervised occlusion-aware line description and detection

Compared to feature point detection and description, detecting and matching line segments offer additional challenges. Yet, line features represent a promising complement to points for multi-view tasks. Lines are indeed well-defined by the image gradient, frequently appear even in poorly textured areas and offer robust structural cues. We thus hereby introduce the first joint detection and descrip

Center experience and other determinants of patient radiation exposure during prostatic artery embolization : a retrospective study in three Scandinavian centers

Objectives: To evaluate the effects of center experience and a variety of patient- and procedure-related factors on patient radiation exposure during prostatic artery embolization (PAE) in three Scandinavian centers with different PAE protocols and levels of experience. Understanding factors that influence radiation exposure is crucial in effective patient selection and procedural planning. Method

The bimodal [Mg/Fe] versus [Fe/H] bulge sequence as revealed by APOGEE DR14

Context. The Galactic bulge has a bimodal metallicity distribution function: different kinematic, spatial, and, potentially, age distributions characterize the metal-poor and metal-rich components. Despite this observed dichotomy, which argues for different formation channels for those stars, the distribution of bulge stars in the ff-abundance versus metallicity plane has been found so far to be a

Detailed numerical simulation and experiments of a steadily burning micron-sized aluminum droplet in hot steam-dominated flows

Detailed numerical simulations are conducted in comparison with experimental results to study the flame structure and burning rate of a steadily burning aluminum droplet in hot steam-dominated environments. The droplet surface temperature, flame temperature, and flame stabilization position are measured along with the droplet burning rate estimated from the droplet size evolution. A numerical mode

Modelling multiphase aerosol-cloud processing with the 3-D CTM COSMO-MUSCAT : application for cloud events during HCCT-2010

The online-coupled 3-D chemistry transport model COSMO-MUSCAT was enhanced by a detailed description of aqueous phase chemical processes. The aqueous phase chemistry is represented by the detailed chemical mechanism CAPRAM 3.0i reduced (C3.0RED). In addition, the deposition schemes were improved in order to account for the deposition of matter incorporated in cloud droplets of ground layer clouds

Effect of fermentation and dry roasting on the nutritional quality and sensory attributes of quinoa

Background: Quinoa is a pseudocereal with relatively high content of proteins and minerals that also contains mineral inhibitors such as phytate. The aim of the present study was to evaluate lactic acid fermentation and dry roasting on the nutritional quality and sensory attributes of quinoa. Various processes were evaluated, and quinoa grains were dry-roasted, milled, and fermented, either with o

DGAT-onco : A differential analysis method to detect oncogenes by integrating functional information of mutations

It is a common strategy to predict oncogenes by differential analysis between somatic mutations and background mutations. Most previous methods only utilize mutations in the cancer population to model its background mutation, which have an obvious bias. A recent method, DiffMut, improves this issue by conducting differential mutational analysis with both mutations in the cancer population and the

LightFF: Lightweight Inference for Forward-Forward Algorithm

The human brain performs tasks with an outstanding energy efficiency, i.e., with approximately 20 Watts. The state-of-the-art Artificial/Deep Neural Networks (ANN/DNN), on the other hand, have recently been shown to consume massive amounts of energy. The training of these ANNs/DNNs is done almost exclusively based on the back-propagation algorithm, which is known to be biologically implausible. Th

A user material approach for the solution of multi-field problems in Abaqus : Theoretical foundations, gradient-enhanced damage mechanics and thermo-mechanical coupling

The solution of multi-field problems and the numerical implementation by means of the finite element method constitute a sophisticated part of the characterisation of industrial processes. A comprehensive implementation framework for such a system of coupled field equations into a non-linear large strain finite element formulation is provided. The procedure is derived for a micromorphic approach i

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors

A distinctive representation of image patches in form of features is a key component of many computer vision and robotics tasks, such as image matching, image retrieval, and visual localization. State-of-the-art descriptors, from hand-crafted descriptors such as SIFT to learned ones such as HardNet, are usually high-dimensional; 128 dimensions or even more. The higher the dimensionality, the large

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

Chromosome-level genome assembly of Lilford's wall lizard, Podarcis lilfordi (Günther, 1874) from the Balearic Islands (Spain)

The Mediterranean lizard Podarcis lilfordi is an emblematic species of the Balearic Islands. The extensive phenotypic diversity among extant isolated populations makes the species a great insular model system for eco-evolutionary studies, as well as a challenging target for conservation management plans. Here we report the first high-quality chromosome-level assembly and annotation of the P. lilfo

Formation of pebbles in (gravito-)viscous protoplanetary disks with various turbulent strengths

Aims. Dust plays a crucial role in the evolution of protoplanetary disks. We study the dynamics and growth of initially submicron dust particles in self-gravitating young protoplanetary disks with various strengths of turbulent viscosity. We aim to understand the physical conditions that determine the formation and spatial distribution of pebbles when both disk self-gravity and turbulent viscosity

Properties & Stability of Hybrid Pea-Dairy Protein Formulas

The aim of this study was to investigate the functional properties and stability of hybrid pea-dairy protein formulas. To achieve this goal, the combination of pea protein isolate (PPI) with dairy proteins such as micellar casein isolate (MCI), sodium caseinate (NaCas), whey protein aggregate (WPA) was evaluated. Samples stored for 2 and 4 weeks at 4oC and 20oC were visually assessed and physicoch