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BACKGROUND: Plasma biomarkers for Alzheimer's disease (AD) have broad potential as screening tools in primary care and disease-modifying trials. Detecting elevated amyloid-β (Aβ) pathology to support trial recruitment or initiating Aβ-targeting treatments would be of critical value. In this study, we aimed to examine the robustness of plasma biomarkers to detect elevated Aβ pathology at different
The human amygdala is involved in processing of memory, decision-making, and emotional responses. Previous studies suggested that the amygdala may represent a neurogenic niche in mammals. By combining two distinct methodological approaches, lipofuscin quantification and 14C-based retrospective birth dating of neurons, along with mathematical modelling, we here explored whether postnatal neurogenes
BACKGROUND: An artificial neural network (ANNs) is a non-linear pattern recognition technique that is rapidly gaining in popularity in medical decision-making. This study investigated the use of ANNs for diagnostic and prognostic purposes in pancreatic disease, especially acute pancreatitis and pancreatic cancer. METHODS: PubMed was searched for articles on the use of ANNs in pancreatic diseases u
OBJECTIVE : To identify predictors of later study withdrawal among participants active in The Environmental Determinants of Diabetes in the Young (TEDDY) for 1 year. METHODS : Multiple logistic regression was used to discriminate 3,042 children active in TEDDY for the first 3 years from 432 children who withdrew in Years 2 or 3. Predictor variables were tested in blocks-demographic, maternal lifes
Techniques for searching for good quasi-cyclic (QC) LDPC block codes of short and moderate lengths which are suitable for practical purposes are studied. To facilitate implementations only codes whose parity-check matrices having bidiagonal structure of their submatrices and consequently having low encoding complexity are considered. The problem of finding QC LDPC codes with the near-optimum frame
Coarse-graining is commonly used to decrease the computational cost of simulations. However, coarse-grained models are also considered to have lower transferability, with lower accuracy for systems outside the original scope of parametrization. Here, we benchmark a bead-necklace model and a modified Martini 2 model, both coarse-grained models, for a set of intrinsically disordered proteins, with t
Organizations that manufacture high volumes of complex products (e.g., pharmaceutical, automotive, food) require specific strategies to ensure efficient processing of parts and a sustainable level of inventory by waste minimization. A review of literature sources revealed how inventory is classified and managed amongst organizations and industries and key challenges that current organizations face
The present study investigated the difference between Actors’ and Observers’ realism in confidence and frequency judgments of general knowledge assertions, and how types of information given to the Observers about the Actors’ choice of answers affect that difference in the realism in confidence judgments. In general, compared with the Actors, the Observers showed higher accuracy and higher confide
This article focuses on the use of the Western messianic mythéme, which has increased during the last decades.In popular culture, Christ figures and Antichrist figures are frequently engaged in dire battles which can only end in the Christ figure's destruction of his opponent. Although this can be seen as a sacralization of popular culture, one should be careful not to confuse the use of religious
This article examines the relationship between theories of the ‘new’ public diplomacy and recent attemptsby foreign ministries in the United Kingdom, United States and Sweden to develop public diplomacystrategies for the early twenty-first century. It provides a summary of policy debates in each nation alongsideanalysis of the evaluation methods that have been designed to support them. The article
The present study investigates the potential benefits of the Mexican medicinal plant Lopezia racemosa (Onagraceae). Extracts and fractions from aerial parts of this plant were assessed to determine their antibacterial, antifungal, antiparasitic, anti-inflammatory and cytotoxic activities in vitro. Aerial parts of the plant were extracted with various solvents and fractionated accordingly. Extracts
When creating models of a system, there is always a tradeoff between the ease of modelling a part and the increased value it brings to the model. Learning a model using machine learning instead, we are able to capture all kinds of things we don't necessarily understand, but can need large amounts of data to learn even the things we find simple. Using universal differential equations we can combine
The production of biobutanol is hindered by the product's toxicity to the bacteria, which limits the productivity of the process. In situ product recovery of butanol can improve the productivity by removing the source of inhibition. This paper reviews in situ product recovery techniques applied to the acetone butanol ethanol fermentation in a stirred tank reactor. Methods of in situ recovery inclu
We apply the statistical sparse jump model, a recently developed, interpretable and robust regime-switching model, to infer key features that drive the return dynamics of the largest cryptocurrencies. The algorithm jointly performs feature selection, parameter estimation, and state classification. Our large set of candidate features are based on cryptocurrency, sentiment and financial market-based
New particle accelerator based research facilities tend to be much more productive, but often in coincidence with higher energy consumption. The total energy consumption of mankind is steeply rising and this is mainly caused by quickly developing countries. Some European countries decided to terminate nuclear power generation and to switch to sustainable energy production. Also the CO2 problem giv
This report is the result of a joint research project between Lund University and Copenhagen Business School, mainly financed by the Öresund University. The main research question was: Can the Öresund region position itself as a leading logistics centre in Scandinavia, in the light of the new conditions that the bridge brings? The purpose was to create a fundamental understanding of the new logist
