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Recent spinal cord literature abounds with descriptions of genetic preprogramming and the molecular control of circuit formation. In this paper, we explore to what extent circuit formation based on learning rather than preprogramming could explain the selective formation of the monosynaptic projections between muscle spindle primary afferents and homonymous motoneurons. We adjusted the initially r
The use of molecular data to study the evolutionary history of organisms has revolutionized the field of systematics. Now with the appearance of high throughput sequencing (HTS) technologies, more and more genetic sequence data are available. One of the important sources of genetic data for phylogenetic analyses has been mitochondrial DNA. The limitations of mitochondrial DNA for the study of phyl
Objectives: The primary objective was to investigate the utility of blood-basedbiomarkers of amyloid, tau, and neurodegeneration for (i) screening, (ii)enrichment, and (iii) tracking response to treatment in clinical trials of Alzheimer’sdisease.Methods: Longitudinal, participant-level data used in these studies was drawn fromthe Swedish BioFINDER study and the ADNI study. Participants were classi
This paper presents a two-stage procedure to create a surface integrity predictor. The first stage includes data clustering, which allows to evaluate the achievable surface quality. The second stage consists in training the model to predict which cluster the machined surface will belong to. To demonstrate the applicability, an experimental plan for machining of Inconel 718 in milling was developed
Herein, we present KiMoPack, an analysis tool for the kinetic modeling of transient spectroscopic data. KiMoPack enables a state-of-the-art analysis routine including data preprocessing and standard fitting (global analysis), as well as fitting of complex (target) kinetic models, interactive viewing of (fit) results, and multiexperiment analysis via user accessible functions and a graphical user i
Biogeochemical cycling of silicon (Si) in the Barents Sea is under considerable pressure from physical and chemical changes, including dramatic warming and sea ice retreat, together with a decline in dissolved silicic acid (DSi) concentrations of Atlantic inflow waters since 1990. Associated changes in the community composition of phytoplankton blooms will alter the material comprising the deposit
Blood-based markers (BBMs) have recently shown promise to revolutionize the diagnostic and prognostic work-up of Alzheimer's disease (AD), as well as to improve the design of interventional trials. Here we discuss in detail further research needed to be performed before widespread use of BBMs. We already now recommend use of BBMs as (pre-)screeners to identify individuals likely to have AD patholo
Background. The urokinase plasminogen activator (uPA) system is involved in tissue remodelling processes and is up-regulated in many types of malignancies. We investigated whether serum levels of different forms of soluble uPA receptor (suPAR) are associated with survival and in particular with prostate cancer and cardiovascular disease mortality. Methods. Using time-resolved fluorescence immunoas
Introduction: Due to its universal applicability for early detection and prediction of cancer stage and disease recurrence, widespread implementation of serum-based prostate-specific antigen (PSA) measurements has a significant influence on current treatment strategies for men with prostate cancer (PCa). However, over-detection and the resultant over-treatment of indolent cancers have been strongl
The magnon Hedin's equations are derived via the Schwinger functional derivative technique, and the resulting self-consistent Green's function (GF) method is used to calculate ground state spin patterns and magnetic structure factors for two-dimensional magnetic systems with frustrated spin-12 Heisenberg exchange coupling. Compared with random phase approximation treatments, the inclusion of a sel
The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. Classically, data analysis in the field maximizes sensitivity by applying quality cuts on the data acquired. These cuts, optimized using Monte Carlo simulations, select higher quality events from the initial dataset. Subsequent steps of t
In the last two decades, very-high-energy gamma-ray astronomy has reached maturity: over 200 sources have been detected, both Galactic and extragalactic, by ground-based experiments. At present, Active Galactic Nuclei (AGN) make up about 40% of the more than 200 sources detected at very high energies with ground-based telescopes, the majority of which are blazars, i.e. their jets are closely align
The petrochemicals industry (mainly plastics and fertilizer production) is expanding, despite increasing attention to the environmental impact of petrochemicals. In our paper, we explore the role public finance plays in the petrochemicals industry. We do so by mapping the public and private financial flows into large-scale petrochemical projects for the decade 2010-20 and discuss the role of publi
In this paper, we present a new account of teleological reasons, i.e. reasons to perform a particular action because of the outcomes it promotes. Our account gives the desired verdict in a number of difficult cases, including cases of overdetermination and non-threshold cases like Parfit’s famous Drops of water. The key to our account is to look more closely at the metaphysics of causation. Accord
We report on the development of a method based on recombinant yeast Saccharomyces cerevisiae to produce nonivamide, a capsaicinoid and potent agonist of the pain receptor TRPV1. Nonivamide was produced in a two-step batch process where yeast was i) grown aerobically on glucose and ii) used to produce nonivamide from vanillin and non-anoic acid by bioconversion. The yeast was engineered to express
The turbulent business environment highlights the need for strategies for mitigating, responding to, and recovering from (that is, managing) supply chain disruptions. Resources are central in these strategies but remain unspecified in the literature. This paper shows how the resource interaction approach (RIA) can help understanding resources in this setting by acknowledging their interactive and
Leaf functional traits are key indicators of plant functions useful for inferring complex plant processes, including their responses to environmental changes. Vegetation indices (VIs) composed of a few reflectance wavelengths hold the advantages of being relatively simple and effective and have been widely used within remote sensing to estimate leaf traits. However, the difference between the refl
