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Accumulation of cellular prion protein within β-amyloid oligomer plaques in aged human brains

Alzheimer's disease (AD) is the main cause of dementia, and β-amyloid (Aβ) is a central factor in the initiation and progression of the disease. Different forms of Aβ have been identified as monomers, oligomers, and amyloid fibrils. Many proteins have been implicated as putative receptors of respective forms of Aβ. Distinct forms of Aβ oligomers are considered to be neurotoxic species that trigger

Controlled generation of luminescent centers in hexagonal boron nitride by irradiation engineering

Luminescent centers in the two-dimensional material hexagonal boron nitride have the potential to enable quantum applications at room temperature. To be used for applications, it is crucial to generate these centers in a controlled manner and to identify their microscopic nature. Here, we present a method inspired by irradiation engineering with oxygen atoms. We systematically explore the influenc

Shore crabs reveal novel evolutionary attributes of the mushroom body

Neural organization of mushroom bodies is largely consistent across insects, whereas the ancestral ground pattern diverges broadly across crustacean lineages resulting in successive loss of columns and the acquisition of domed centers retaining ancestral Hebbian-like networks and aminergic connections. We demonstrate here a major departure from this evolutionary trend in Brachyura, the most recent

Impact of COVID-19 in paediatric early-phase cancer clinical trials in Europe : A report from the Innovative Therapies for Children with Cancer (ITCC) consortium

Introduction: Data regarding real-world impact on cancer clinical research during COVID-19 are scarce. We analysed the impact of the COVID-19 pandemic on the conduct of paediatric cancer phase I–II trials in Europe through the experience of the Innovative Therapies for Children with Cancer (ITCC). Methods: A survey was sent to all ITCC-accredited early-phase clinical trial hospitals including ques

A new tool to assess Clinical Diversity In Meta-analyses (CDIM) of interventions

Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions. Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreeme

Synthesis of large-area rhombohedral few-layer graphene by chemical vapor deposition on copper

Rhombohedral-stacked few-layer graphene (FLG) displays peculiar electronic properties that could lead to phenomena such as high-temperature superconductivity and magnetic ordering. To date, experimental studies have been mainly limited by the difficulty in isolating rhombohedral FLG with thickness exceeding 3 layers and device-compatible size. In this work, we demonstrate the synthesis and transfe

On the solar air heater thermal enhancement and flow topology using differently shaped ribs combined with delta-winglet vortex generators

A numerical investigation has been conducted to study the convective heat transfer enhancement and friction loss behaviors for turbulent flow by using arrays of differently shaped ribs combined with delta-winglet vortex generators (DWVGs) pair on the absorber plate of a solar air heater. Four transverse vortex generators arrays, i.e., 90° continuous ribs, 90° truncated ribs, 60° V-shaped continuou

Performance investigation on the novel anti-leakage and easy-to-manufacture trisection helical baffle electric heaters

The difficult manufacturing of helical baffles hinders the widespread application of the enhancement technology and the shortcut leakage between adjacent baffles impairs the enhancement effects. To solve these two issues, the promising anti-leakage and easy-to-manufacture helical baffles with small inclined angle and folded structure are proposed, which can be produced by 2D laser cutting and simp

A 9-bit 1-MS/s 7-μW SAR ADC for ultra low power radio

A 9-bit 1-MS/s successive-approximation (SAR) analog-to-digital converter (ADC) for ultra low power radio applications using 130 nm CMOS is presented. The ADC achieves a power consumption of 7/μW according to simulation results. This ultra low power is realized by employing a maximally simplified ADC architecture that consists of a dynamic latch comparator, a charge redistribution digital-to-analo

Novel metric “Implenarity” for characterization of shape and defectiveness : The case of CFRP hole quality

Image Processing is rapidly expanding as a technique for object and defect analysis because of the high ease of its coupling to automation and IT solutions. Yet, issues with transferability of the measurement approaches and metrics currently used in mechanical systems often remain unsolved. Study reports on the developed approach for shape and defectiveness characterization by combining Delaunay t

Software development and innovation : Exploring the software shift in innovation in Swedish firms

A number of scholars and industry professionals have claimed that there has been a ‘software-biased shift’ in the nature and direction of innovation, in that software development is a core part of innovation activities in firms across a wide array of industries. Empirical firm-level evidence of such a shift is still scant. In this paper, we employ new and unique firm-level survey data on the frequ

Simulation of the response of the Solid State Neutron Detector for the European Spallation Source

The characteristics of the Solid-state Neutron Detector, under development for neutron-scattering measurements at the European Spallation Source, have been simulated with a Geant4-based computer code. The code models the interactions of thermal neutrons and ionising radiation in the 6Li-doped scintillating glass of the detector, the production of scintillation light and the transport of optical, s

High-resolution assessment of environmental benefits of dockless bike-sharing systems based on transaction data

Dockless bike-sharing systems (DLBS) have gained much popularity due to their environmentally friendly features. This study puts forward a distinctive framework for assessing the environmental influences of DLBS in high resolution based on DLBS transaction data. The proposed framework firstly estimates the transport mode substituted by DLBS for each recorded bike-sharing trip by utilizing the rout

Meta-analysis of prospective studies evaluating breast cancer detection and interval cancer rates for digital breast tomosynthesis versus mammography population screening

Introduction: Breast cancer (BC) screening using digital breast tomosynthesis (DBT) has been shown to increase cancer detection compared with mammography; however, it is unknown whether DBT impacts interval cancer rate (ICR). Methods: We systematically identified prospective DBT studies reporting data on screen-detected and interval BCs to perform a study-level meta-analysis of the comparative eff