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Heterogeneous distribution of tau pathology in the behavioural variant of Alzheimer's disease

Objective: The clinical phenotype of the rare behavioural variant of Alzheimer's disease (bvAD) is insufficiently understood. Given the strong clinico-anatomical correlations of tau pathology in AD, we investigated the distribution of tau deposits in bvAD, in-vivo and ex-vivo, using positron emission tomography (PET) and postmortem examination. Methods: For the tau PET study, seven amyloid-β posit

The copy number variation and stroke (CaNVAS) risk and outcome study

Background and purpose The role of copy number variation (CNV) variation in stroke susceptibility and outcome has yet to be explored. The Copy Number Variation and Stroke (CaNVAS) Risk and Outcome study addresses this knowledge gap. Methods Over 24,500 well-phenotyped IS cases, including IS subtypes, and over 43,500 controls have been identified, all with readily available genotyping on GWAS and e

Open Data-driven Usability Improvements of Static Code Analysis and its Challenges

Context: Software development is moving towards a place where data about development is gathered in a systematic fashion in order to improve the practice, for example, in tuning of static code analysis. However, this kind of data gathering has so far primarily happened within organizations, which is unfortunate as it tends to favor larger organizations with more resources for maintenance of develo

Towards optical diagnostics and control in aerotaxy semiconductor nanowire growth

Aerosol growth of semiconductor nanowires has the potential to dramatically lower the cost of for solar cell production. The objective of the work was to study the growth of aerosol nanoparticles and nanowires, in order to understand the chemical and physical processes involved. This was accomplished by studying the early parts of growths using optical diagnostic techniques. The work involved deve

Matematiska modeller för beslutsfattande hos människor, djur och maskiner

The science of decision making is studied in many areas of science and engineering, for example within, computer science, automatic control theory, mathematics and neurophysiology. The aim of this text is to provide a very brief overview of some of the models and tools used within mathematical decision making. These models can be studied in terms of an agent that observes the world and takes decisThe science of decision making is studied in many areas of science and engineering, for example within, computer science, automatic control theory, mathematics and neurophysiology. The aim of this text is to provide a very brief overview of some of the models and tools used within mathematical decision making. These models can be studied in terms of an agent that observes the world and takes decis

AI, Norms, Big Data, and the Law

This is an overview article regarding artificial intelligence (AI) and its potential normative implications. Technology has always had inherent normative consequences not least due to AI and the use of algorithms. There is a crucial difference between algorithms in a technical sense and from a social-science perspective. It is a question of different orders of normativity - the first related to th

Neighborhood social capital and incidence and mortality of prostate cancer : a Swedish cohort study

Background: There is a growing interest in the contextual effect of neighborhood linking social capital on different health outcomes, including cancer. Aims: To examine associations between neighborhood linking social capital and incidence and mortality of prostate cancer. Method: This cohort study was based on national registers. Between 2002 and 2015, we included 1,196,563 men aged 50 years and

Tau aggregation and increased neuroinflammation in athletes after sports-related concussions and in traumatic brain injury patients – A PET/MR study

Traumatic brain injury (TBI) and repeated sports-related concussions (rSRCs) are associated with an increased risk for neurodegeneration. Autopsy findings of selected cohorts of long-term TBI survivors and rSRC athletes reveal increased tau aggregation and a persistent neuroinflammation. To assess in vivo tau aggregation and neuroinflammation in young adult TBI and rSRC cohorts, we evaluated 9 hea

Integrated starch and lignocellulose based biorefineries : Synergies and opportunities

The transition from a reliance on fossil resources to the use of renewables for the production of energy, fuels and chemicals is essential for ensuring the sustainability of continued human development. Plant-based biomass is a renewable resource which can be transformed into all of these products. However, biomass is a heterogeneous material composed of several fractions with different chemical p

The fate of planetesimals formed at planetary gap edges

The presence of rings and gaps in protoplanetary disks are often ascribed to planet-disk interactions, where dust and pebbles are trapped at the edges of planetary-induced gas gaps. Recent works have shown that these are likely sites for planetesimal formation via the streaming instability. Given the large amount of planetesimals that potentially form at gap edges, we address the question of their

Dirac states in the noncentrosymmetric superconductor BiPd

Quantum materials having Dirac fermions in conjunction with superconductivity is believed to be the candidate material to realize exotic physics as well as advanced technology. Angle-resolved photoemission spectroscopy (ARPES), a direct probe of the electronic structure, has been extensively used to study these materials. However, experiments often exhibit conflicting results on dimensionality and

The migration-sustainability paradox : transformations in mobile worlds

Migration represents a major transformation of the lives of those involved and has been transformative of societies and economies globally. Yet models of sustainability transformations do not effectively incorporate the movement of populations. There is an apparent migration-sustainability paradox: migration plays a role as a driver of unsustainability as part of economic globalisation, yet simult

Identification of sub- μ s isomeric states in the odd-odd nucleus Au 178

The neutron-deficient gold (Z=79) isotopes in the vicinity of the neutron midshell N=104 provide prolific examples of shape coexistence and isomerism at low excitation energy. They can be probed via a number of different experimental techniques. In this study, two new isomeric states with half-lives of 294(7) and 373(9) ns have been observed in the neutron-deficient odd-odd nuclide Au178 (N=99) in

Tilted precession bands in Nd 135

Two new excited bands built on the πh11/2 configuration have been identified in Nd135 in addition to the known πh11/2 band. The energy spectra of the excited bands and the available electromagnetic transition probabilities are in good agreement with theoretical results obtained using quasiparticle-plus-triaxial-rotor model calculations. The properties of the bands identify them as tilted precessio

A Deep Neural Network Based Model for Jane Street Market Prediction

The price trend of stocks directly affects the economic interests of investors, and also affects and reflects the country's macroeconomic policies, so it has received widespread attention. The formation and fluctuation of stock prices are not only restricted by various economic and political factors, but also influenced by investment psychology and trading techniques. But in fact, stock prices are

Airspace dimension assessment with nanoparticles as a proposed biomarker for emphysema

Airspace dimension assessment with nanoparticles (AiDA) is a novel method to measure distal airspace radius non-invasively. In this study, AiDA radii were measured in 618 individuals from the population-based Swedish CArdiopulmonary BioImaging Study, SCAPIS. Subjects with emphysema detected by computed tomography were compared to non-emphysematous subjects. The 47 individuals with mainly mild-to-m

Reducing search times and entropy in hospital emergency departments with real-time location systems

Although the consequences of hospital ED crowding have been studied extensively, the causes of crowding are still not well understood. Throughput factors in ED crowding models are difficult to study in a controlled fashion in a dynamic environment where healthcare demand changes rapidly, and physical and human resources suddenly become limited. Opportunities for automated, simultaneous, and low-co