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

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

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 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

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

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 (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

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).

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.

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 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 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

This thesis deals with the dynamical processes in atoms and small molecules initiated by the absorption of ultrashort, coherent light pulses. The studied phenomena takeplace on the femtosecond (1 fs = 10−15 s) and attosecond (1 as = 10−18 s) timescales and critically depend on the properties of the light fields that drive them. Wework with infrared (IR) femtosecond laser pulses, which we manipulat

Background Several pressing issues face municipal planners including increased land use and climate change. Managing these issues requires a balance between different actions to accommodate citizen’s demands of ecosystem services (ES) and development projects. The implementation of ES as a new tool for assessments needs to be contrasted by research considering existing tools such as Environmental