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Extraction of the specific shear viscosity of quark-gluon plasma from two-particle transverse momentum correlations

The specific shear viscosity, η/s, of the quark-gluon plasma formed in ultrarelativistic heavy-ion collisions at RHIC and LHC is estimated based on the progressive longitudinal broadening of transverse momentum two-particle correlators, G2, reported as a function of collision centrality by the STAR and ALICE experiments. Estimates are computed as a function of collision centrality using the Gavin

Mat vid diabetes. : En systematisk översikt med utvärdering av effekter samt hälsoekonomiska och etiska aspekter.

SlutsatserTyp 1- och typ 2-diabetes Det finns ett samband mellan att äta medelhavskost och lägre risk att dö i förtid oavsett orsak (måttlig tillförlitlighet). Det finns ett samband mellan att äta en större andel2 fibrer eller baljväxter och lägre risk att dö i förtid oavsett orsak (måttlig tillförlitlighet). Det kan även finnas ett samband mellan att äta en större andel nötter och lägre risk att

A Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods Improves the Prediction of Groundwater Level

Groundwater is a crucial source of water supply in drought conditions, and an auxiliary water source in wet seasons. Due to its increasing importance in view of climate change, predicting groundwater level (GWL) needs to be improved to enhance management. We used adaptive neuro-fuzzy inference systems (ANFIS) to predict the GWL of the Urmia aquifer in northwestern Iran under various input scenario

The NILS Study Protocol : A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)

Newly diagnosed breast cancer (BC) patients with clinical T1–T2 N0 disease undergo sentinel-lymph-node (SLN) biopsy, although most of them have a benign SLN. The pilot noninvasive lymph node staging (NILS) artificial neural network (ANN) model to predict nodal status was published in 2019, showing the potential to identify patients with a low risk of SLN metastasis. The aim of this study is to ass

Association of CSF Aβ38Levels with Risk of Alzheimer Disease-Related Decline

Background and ObjectiveExperimental studies suggest that the balance between short and long β-amyloid (Aβ) species might modulate the toxic effects of Aβ in Alzheimer disease (AD), but clinical evidence is lacking. We studied whether Aβ38 levels in CSF relate to risk of AD dementia and cognitive decline.MethodsCSF Aβ38 levels were measured in 656 individuals across 2 clinical cohorts: the Swedish

The United Nations Draft Treaty on Business and Human Rights: an analysis of its emergence, development and potential

The process to elaborate a legally binding instrument on Business and Human Rights started in 2014. The stated ambition animating UN process is to deliver a broad-spectrum treaty that significantly increases remediation for victims. However the treaty has polarized opinion from the very beginning. To come closer to genuine points of disagreement and possible paths forward, this chapter explains an

Diffuse Traumatic Injury in the Mouse Disrupts Axon-Myelin Integrity in the Cerebellum

Cerebellar dysfunction after traumatic brain injury (TBI) is commonly suspected based on clinical symptoms, although cerebellar pathology has rarely been investigated. To address the hypothesis that the cerebellar axon-myelin unit is altered by diffuse TBI, we used the central fluid percussion injury (cFPI) model in adult mice to create widespread axonal injury by delivering the impact to the fore

Business and Human Rights in Cambodia 2021 : A compendium of instruments and materials, volumes I-III

The compendium is an aid for lecturers to prepare classes and seminars on business and human rights in Cambodia. Teachers from several academic disciplines – law, management, political science, social science, and media – will find carefully selected materials and numerous aspects on which to build a rewarding classroom experience. The compendium has three parts. Part I covers the policy framework

Proteomics Data Collection - 2nd ProDaC Workshop 5 October 2007, Seoul, Korea

Proteomics Data Collection (ProDaC) is an EU-funded Coordination Action within the 6th framework programme. It aims to simplify the publication, dissemination and utilization of proteomics data by establishing standards that will support broad data collection from the research community. As a part of ProDaC, regular workshops are organized on a half-yearly basis to enable communication and discuss

Monte Carlo simulation of a multiparticle imaging Cherenkov counter

A simulation study of a new Cherenkov detector for the NA44 experiment is presented. Different positions and configurations of the counter are evaluated. The best particle identification is achieved with a CaF2 window and with the chamber placed in front of hodoscope 3 (H3).

An investigation of screwiness in hadronic final states from DELPHI

A recent theoretical model by Andersson et al. proposes that soft gluons order themselves in the form of a helix at the end of the QCD cascades. The Authors of the model present a measure of the rapidity-azimuthal angle correlation, which they call screwiness. We searched for such a signal in DELPHI data, and found no evidence for screwiness.

An evaluation of using ensembles of classifiers for predictions based on genomic and proteomic data

Classification of expression profiles to predict disease characteristics of for example cancer is a common application in high-throughput gene and protein expression research. Cross-validation is often used to optimize design of classifiers, with the aim to construct an optimal single classifier. In this work, we explore if classification performance can be improved by aggregating classifiers into

SPECLUST: a web tool for clustering of mass spectra

SPECLUST is a web tool for hierarchical clustering of peptide mass spectra obtained from protease-digested proteins. Mass spectra are clustered according to the peptide masses they contain, such that mass spectra containing similar masses are clustered together. Hierarchical clustering of mass spectra with SPECLUST can in particular be useful for MS-screening of large proteomic data sets derived f

A novel approach to structure alignment

A novel approach for structure alignment is presented, where the key ingredients are: (1) An error function formulation of the problem simultaneously in terms of binary (Potts) assignment variables and real-valued atomic coordinates. (2) Minimization of the error function by an iterative method, where in each iteration a mean field method is employed for the assignment variables and exact rotation