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Parkinson’s disease (PD) affects 2–3% of the population over the age of 65 with loss of dopaminergic neurons in the substantia nigra impacting the functioning of basal ganglia-thalamocortical circuits. The precise role played by the thalamus is unknown, despite its critical role in the functioning of the cerebral cortex, and the abnormal neuronal activity of the structure in PD. Our objective was
Conformational entropies are of great interest when studying the binding of small ligands to proteins or the interaction of proteins. Unfortunately, there are no experimental methods available to measure conformational entropies of all groups in a protein. Instead, they are normally estimated from molecular dynamics (MD) simulations, although such methods show problems with convergence and correla
Purpose: The purpose of this paper is to elaborate on how perspectives and assumptions embedded in the complexity paradigm contribute to make logistics management research better aligned with real-life logistics. This is necessary, due to increasing supply chain complexity caused by an increasing request for sustainable development (SD). Design/methodology/approach: The research is exploratory and
While a number of studies have found that an improvement in object shape recognition is associated with language growth in infants and toddlers, no published studies have investigated the longitudinal relation between early shape recognition, and language abilities in later childhood. An electrophysiological measure of semantic processing (the N400) was used to assess shape recognition and general
PURPOSE: To develop a mapping model to estimate EQ-5D-3L from the Knee Injury and Osteoarthritis Outcome Score (KOOS).METHODS: The responses to EQ-5D-3L and KOOS questionnaires (n = 40,459 observations) were obtained from the Swedish National anterior cruciate ligament (ACL) Register for patients ≥ 18 years with the knee ACL injury. We used linear regression (LR) and beta-mixture (BM) for direct m
In this contribution a practical and rational decision-making approach is presented to be applied for common bridges typically managed by public authorities. The authors have developed a model with the intention to be applicable for practical cases for common bridges in the daily work of bride operators responsible for a large number of assets, yet still maintain the principles of more generic fra
The aim of this study was to develop a morphological model for long-term inlet evolution to be applied using a minimum amount of input data and requiring low computational costs. The model was implemented numerically and then validated for a real inlet application: Mundaú inlet (northeastern Brazil), a dynamic inlet with a marked freshwater seasonality and alongshore sand transport, reduced by ree
The water exchange between the sea and a lagoon or bay through an inlet due to tides is a classical topic that has been investigated in a large number of studies (Keulegan, 1967; O’Brien and Dean, 1972; O’Brien and Clark, 1974; Escoffier, 1977). In this paper, a simple semi-analytic model of the flow induced by tides through an inlet connecting the sea to a lagoon or bay is developed. The model is
Cerebral pares (CP) är den vanligaste orsaken till motorisk funktionsnedsättning hos barn och ungdomar och årligen föds ca 200 barn med CP i Sverige. Symtomen vid CP varierar, men karaktäriseras av bland annat nedsatt rörelseförmåga och nedsatt förmåga att stabilisera kroppen. Nästan åtta av tio vuxna med CP besväras av korta och spända muskler, snedställda leder och smärta som påverkar deras funkBackgroundIndividuals with cerebral palsy (CP) have an increased risk for scoliosis, especially those with low gross motor function, affecting both quality of life and overall function. The aims were to increase the knowledge on the development of, and predictors for scoliosis and the use of spinal orthoses in individuals with CP, and also to evaluate the Caregiver Priorities and Child Health Inde
The Yellow River is a river where serious ice disasters frequently take place in winter. In recent years, the stable frozen period has decreased and the frequency of intermittent freeze periods has increased. After analysing the main factors influencing the ice regime, the prediction factors can be selected. Using multiple linear regression (MLR) and artificial neural network (ANN) methods, this p
