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In today's ever changing business world, the competitiveness of organizations relies on employees' competencies, which entails the fact that employees' contributions become more valuable than ever before. The main purpose of the study was to identify which strategies are used by successful employees at Corporate Market in Síminn (an Icelandic company which handles telecommunications) i
Background: Although mindfulness-based group therapies (MGTs) for depressive, anxiety or stress and adjustment disorders are promising, there is a substantial lack of knowledge regarding the long-term improvements after such therapies in these common psychiatric disorders. Methods: Two hundred and fifteen patients were randomized in a randomized clinical trial (RCT) (ClinicalTrials.gov ID: NCT0147
Statistical atmospheric rainfall downscaling, that is, statistical estimation of local or regional rainfall on the basis of large-scale atmospheric circulation, has been advocated to make the output from global and regional climate models more accurate for a particular location or basin. Neural networks (NNs) have been used for such downscaling, but their application has proved problematic, mainly
Introduction: It might in the future be valuable to screen for increased maternal arterial stiffness, i.e. low compliance, since it is associated with development of hypertensive complications in pregnancy. Digital pulse wave analysis (DPA) is an easy and manageable method for arterial stiffness assessment. We aimed to investigate gestational influence on DPA variables longitudinally, and establis
On-going human population growth and changing patterns of resource consumption are increasing global demand for ecosystem services, many of which are provided by soils. Some of these ecosystem services are linearly related to the surface area of pervious soil, whereas others show non-linear relationships, making ecosystem service optimization a complex task. As limited land availability creates co
Groundwater is considered one of the most valuable fresh water resources. The main objective of this study was to produce groundwater spring potential maps in the Koohrang Watershed, Chaharmahal-e-Bakhtiari Province, Iran, using three machine learning models: boosted regression tree (BRT), classification and regression tree (CART), and random forest (RF). Thirteen hydrological-geological-physiogra
The relationship between field measurements of vegetation in a semi arid region and NDVI from the 1 km NOAA AVHRR was investigated within this study. The Hoanib catchment in the northwestern Namibia was chosen as study area. The field measurements were carried out during the month of February 1999. Different NDVI values and combinations of NDVI were used and it was found that the integrated NDVI u
Title: Overreaction on the Swedish stock market Seminar date: 2008-01-30 Course: Nek K01- Bachelor Thesis in Economics (15 ETCS) Authors: Advisor: Oskar Herbe and Ludvig Persson Hossein Asgharian Key Words: Overreaction, Anomalies, Market Efficiency, Contrarian investment strategies Purpose: The purpose of this thesis is to test if the overreaction hypothesis as originally described by De Bondt an
Purpose:To describe the features of retinal detachments and high myopia in patients with novel pathogenic variants in LEPREL1 and report a possible association with nephropathy.Methods:Retrospective study of 10 children with biallelic LEPREL1 pathogenic variants. Data included ophthalmic features, surgical interventions, and genetic and laboratory findings.Results:10 patients (8 females) from thre
Agencies that regulate electricity providers often apply nonparametric data envelopment analysis (DEA) to assess the relative efficiency of each firm. The reliability and validity of DEA are contingent upon selecting relevant input variables. In the era of big (wide) data, the assumptions of traditional variable selection techniques are often violated due to challenges related to high-dimensional
Hand osteoarthritis (OA) is a common form of OA, for which education and exercise are considered the first-line treatment. The aim of the present study was to examine pain and perceived hand function in participants following 3 months of digitally delivered first-line treatment for hand OA. Three-hundred-and-seventy-nine of 846 participants with clinical signs and symptoms of hand OA completed the
We present an age model for the 651g€¯m deep ice core from Skytrain Ice Rise, situated inland of the Ronne Ice Shelf, Antarctica. The top 2000 years have previously been dated using age markers interpolated through annual layer counting. Below this, we align the Skytrain core to the AICC2012 age model using tie points in the ice and air phase, and we apply the Paleochrono program to obtain the bes
Background: Parents of children with complex right ventricular outflow tract (RVOT) anomalies are con-fronted with their child’s need for heart surgery early in life and repeated reoperations later on. Preoperative assessment needs to be performed whenever an indication for reoperation is suspected. The aim was to illuminate the experiences of parents of children diagnosed with RVOT anomalies, in
Sivakumar et al. (2000a), by employing the correlation dimension method, provided preliminary evidence of the existence of chaos in the monthly rainfall-runoff process at the Göta basin in Sweden. The present study verifies and supports the earlier results and strengthens such evidence. The study analyses the monthly rainfall, runoff and runoff coefficient series using the nonlinear prediction met
Recent observations of high-redshift galactic disks (z ≈ 1-3) show a strong negative trend in the dark-matter (DM) fraction f DM with increasing baryon surface density. For this to be true, the inner baryons must dominate over DM in early massive galaxies, as observed in the Milky Way today. If disks are dominant at early times, we show that stellar bars form promptly within these disks, leading t
Shared electric scooters (e-scooters) have been rapidly growing in popularity across Europe over the past three years, which can bring various environmental and socioeconomic benefits. However, how to further improve the usage efficiency of shared e-scooters is still a major concern for micro-mobility operators and city planners. This paper proposes a machine learning based approach to predict the
As the fusion of the Internet of Things (IoT) and blockchain technology advances, it is increasingly shaping diverse fields. The potential of this convergence to fortify security, enhance privacy, and streamline operations has ignited considerable academic interest, resulting in an impressive body of literature. However, there is a noticeable scarcity of studies employing Latent Dirichlet Allocati
