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Combining plasma phospho-tau and accessible measures to evaluate progression to Alzheimer’s dementia in mild cognitive impairment patients

Background: Up to now, there are no clinically available minimally invasive biomarkers to accurately identify mild cognitive impairment (MCI) patients who are at greater risk to progress to Alzheimer’s disease (AD) dementia. The recent advent of blood-based markers opens the door for more accessible biomarkers. We aimed to identify which combinations of AD related plasma biomarkers and other easil

Geometry-Based Clustering Characteristics for Outdoor Measurements at 28-30 GHz

This paper presents an analysis of channel characteristics for an outdoor scenario at the frequency band of 28-30 GHz. A geometry-based clustering algorithm is proposed to group the measured multipath components (MPCs) based on the interaction points on the surrounding walls or objects obtained from Ray Tracing 3-D simulations, which is more physically interpretable than the traditional clustering

Update on the Protein Homeostasis Network in Bacillus subtilis

Protein homeostasis is fundamental to cell function and survival. It relies on an interconnected network of processes involving protein synthesis, folding, post-translational modification and degradation as well as regulators of these processes. Here we provide an update on the roles, regulation and subcellular localization of the protein homeostasis machinery in the Gram-positive model organism B

Metabolome-Defined Obesity and the Risk of Future Type 2 Diabetes and Mortality

OBJECTIVE: Obesity is a key risk factor for type 2 diabetes; however, up to 20% of patients are normal weight. Our aim was to identify metabolite patterns reproducibly predictive of BMI and subsequently to test whether lean individuals who carry an obese metabolome are at hidden high risk of obesity-related diseases, such as type 2 diabetes.RESEARCH DESIGN AND METHODS: Levels of 108 metabolites we

Halving food-related greenhouse gas emissions can be achieved by redistributing meat consumption : Progressive optimization results of the NutriNet-Santé cohort

BACKGROUND: Diet-related greenhouse gas emissions (GHGe) mainly comes from animal-sourced foods. As progressive changes are more acceptable for a sustainable food transition, we aimed to identify nutritionally adequate and culturally acceptable optimized diets ensuring a gradual reduction in GHGe, using observed diet from a large sample of French adults, while considering the mode of food producti

Densifying Dwelling: Accumulation, Accommodation and Affliction through formal housing in Megacity Mumbai

The ordinary cities are the dominant sites of urban living, theorization and debates. This presentation centrally situates the dimension of urban density to unfold a unique, however, ordinary aspect of urban contention. It situates the state’s formal housing paradigm for the urban poor as the case of theoretical intervention from an ongoing research project. It aims to broaden the understanding of

Investigation on the pressurized discharge performance from a liquid oxygen tank under different injected gas temperatures

Accurate prediction on the pressurized discharge performance is significant to the safety operation of cryogenic propellant system. In the present study, a two-dimensional numerical model is established to simulate the fuel outflow with high-temperature gas injection. Both the environmental heat invasion and interfacial phase change are detailedly considered. The volume of fluid method is used to

Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction

A memetic version between an evolutionary algorithm (differential evolution) and the local search provided by protein fragment replacements was defined for protein structure prediction. In this problem, it is intended to find the global minimum in a high-dimensional energy landscape to discover the native structure of the protein. This problem presents a multimodal energy landscape which can addit

Impact of the Temperature on the Proton Conductivity and Power Output of a PEFC Operating at High Current Densities

Polymer Electrolyte Fuel Cells (PEFCs) have great potential as clean energy conversion devices. Therefore, studies are required to increase the understanding of a PEFC at real operating conditions. Two variables that significantly affect the performance are the temperature and the current load. In the present study, a fundamental constitutive part's performance, e.g., the polymeric membrane (PM) N

Physical and social environmental factors related to co-occurrence of unhealthy lifestyle behaviors

Previous work identifying determinants of co-occurrence of behavioral risk factors have focused on their association with individuals' characteristics with scant attention paid to their relationship to contextual factors. Data came from 21,007 individuals ≥15 years of age who participated in the cross-sectional 2011-2012 Spanish National Health Survey. Two indicators were defined by tobacco consum

Cognitive performance in systemic lupus erythematosus patients: a cross-sectional and longitudinal study

BACKGROUND: Previous research has provided evidence for cognitive dysfunction as a common symptom of systemic lupus erythematosus (SLE). In light of this, the primary goal of this study was to investigate how cognitive impairment in this patient group develops over time. In addition, the present dataset contributes to delineating the specific abilities that are impaired in SLE patients as well as

The Girl and the Tree s : Tree Activism in German Newspaper

A photo of the climate activist Greta Thunberg in Hambacher Wald ( a Rhineland lignite mining area) aroused a media hype in the German press for the wrong reasons. If Thunberg visited Hambacher Wald in order to protect the forest arguing that we are ”ignoring natural climate solutions” there trees are told to be a “tool we can use to repair our broken climate” the headdress of a person pictured at

SRIQ clustering : A fusion of Random Forest, QT clustering, and KNN concepts

Gene expression profiling together with unsupervised analysis methods, typically clustering methods, has been used extensively in cancer research to unravel, e.g., new molecular subtypes that hold promise of disease refinement that may ultimately benefit patients. However, many of the commonly used methods require a prespecified number of clusters to extract and frequently require some type of fea

Spatial distribution and determinants of HIV prevalence among adults in urban Ethiopia : Findings from the Ethiopia Population-based HIV Impact Assessment Survey (2017–2018)

The design and evaluation of national HIV programs often rely on aggregated national data, which may obscure localized HIV epidemics. In Ethiopia, even though the national adult HIV prevalence has decreased, little information is available about local areas and subpopulations. To inform HIV prevention efforts for specific populations, we identified geographic locations and drivers of HIV transmiss

Role of gas–molecular cluster–aerosol dynamics in atmospheric new-particle formation

New-particle formation from vapors through molecular cluster formation is a central process affecting atmospheric aerosol and cloud condensation nuclei numbers, and a significant source of uncertainty in assessments of aerosol radiative forcing. While advances in experimental and computational methods provide improved assessments of particle formation rates from different species, the standard app