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MRI diffusion tensor imaging (DTI) studies of white matter integrity in behavioral variant frontotemporal dementia have consistently shown involvement of frontal and temporal white matter, corresponding to regional loss of cortical volume. Volumetric imaging has a suboptimal sensitivity as a diagnostic tool and thus we wanted to explore if DTI is a better method to discriminate patients and contro
Course: SMTX07, Master level. 15 hp. Spring 2010 Authors: Amir Amini Harati, Nosherwan Bajwa, Daniel Djukic Title: Emotional management – A painful necessity Fellow advisor: Jan E. Persson, Carl R. Hellberg Purpose: The purpose of this study is to better understand how the lead controls and optimizes frontline staff's feelings in different service encounters. To fulfill our purpose we have cho
Logistik som konkurrenskraft blir allt viktigare på dagens marknader, vilket medför att logistikföretagen idag erbjuder en bredare service än vad som gjorts tidigare. Vårt syfte är att undersöka problematiken mellan att erbjuda en hög servicenivå och att inneha en kostnadseffektiv organisation. Vi har valt att använda oss av en fallstudie på ett intermodalt transportföretag. Denna organisation har
To examine the association between the relaxation time (T1Gd) of delayed gadolinium-enhanced magnetic resonance imaging of cartilage (dGEMRIC) and grade of tibiofemoral joint space narrowing (JSN) and osteophytosis 11 years later, in a cohort of meniscectomized patients.
Coreference resolution is the identification of phrases that refer to the same entity in a text. Current techniques to solve coreferences use machine-learning algorithms, which require large annotated data sets. Such annotated Resources are no tavailable for most languages today. In this paper, we describe a method for solving coreferences for Swedish and German using distant supervision that does
In this paper, we describe Docforia, a multilayer document model and application programming interface (API) to store formatting, lexical, syntactic, and semantic annotations on Wikipedia and other kinds of text and visualize them. While Wikipedia has become a major NLP resource, its scale and heterogeneity makes it relatively difficult to do experimentations on the whole corpus. These experimentat
Economic significance is frequently assessed through statistical hypothesis testing, which however, does not always correspond to the implicit economical questions being addressed. In this article we propose using mean value decomposition to assess economic significance. Unlike most previously suggested methods the proposed one is intuitive and simple to conduct. The technique is demonstrated and
Access to detailed network data is often constrained by access-controlled datasets or by extensive manual labour. Using aerial imagery and a simplified OpenStreetMap road-level graph, a novel approach is proposed to extract lane-level road topology graphs at signalized intersections based on detection of common road objects, classification of lane attributes, and a simultaneous lane-to-lane connec
This paper is concerned with a recently proposed scalable protocol for vehicle platooning, known as the serial consensus protocol. This achieves coordination of second-order integrator systems through a series connection of first-order conventional consensus protocols, and has been theoretically shown to have advantageous stability and performance properties. We implement this protocol on a vehicl
INTRODUCTION: Resection of intraductal papillary mucinous neoplasm (IPMN) aims to prevent progression to invasive pancreatic cancer. However, the risks of pancreatic surgery and frequent findings of low-grade dysplasia (LGD) raise concerns about overtreatment. This EAHPBA-endorsed multinational study evaluated short- and long-term overall survival (OS) following preventive resection for IPMN (with
Behavioral, physiological, and life-history adaptations to the lunar cycle are global phenomena across trophic levels and ecosystems yet remain poorly understood because of the challenges of studying free-living organisms at night. We show that the lunar cycle regulates both daily foraging activity and foraging success in the red-necked nightjar-a nocturnal avian insectivore-and that moonless peri
Urban meteorology, the study of atmospheric phenomena in urban areas, is vital for understanding the dynamic interactions between rapid urbanization and environmental changes. Over the past two decades (2004–2024), urban heat islands (UHIs), extreme rainfall, pollution, and temperature anomalies have intensified, adversely affecting human health, infrastructure, and ecosystems worldwide. The prese
We propose a method for estimating the 3D position of a target point, given multiple measurements of it, using mm-wave radar data. Given azimuth headings and range estimates from posed radar positions, we find the 3D position, using an approximate, but geometrically and statistically meaningful cost. The 3D position is found in an optimal way, using this approximate cost. By deriving the Lagrangia
We perform a validation analysis on the multipolar model of opinion dynamics. A general methodology for using the model on datasets of two correlated variables is proposed and tested using data on the relationship between COVID-19 vaccination rates and political participation in Sweden. The model is shown to successfully capture the opinion segregation demonstrated by the data and spatial correlat
We extend the generalized information criteria framework for model selection to high-dimensional sparse statistical jump models, a recent class of statistically robust and computationally efficient alternatives to hidden Markov models. Specifically, we derive expressions for the model fit and complexity to construct suitable information criteria for hyperparameter selection. In extensive simulatio
A detailed understanding of excited-state evolution is critical to realizing the full potential of abundant-metal coordination complex photosensitizers. Here, we show how wide-band optical transient absorption spectroscopy (oTA) can delineate the complete energy relaxation pathway of the photoexcited state of Fe(ii) polypyridyl complexes supported by benzannulated diarylamido ligands. By covering
Precision medicine for complex diseases uses individual-level characteristics to improve prediction of risk, therapeutic response and prognosis. Many precision medicine studies leverage existing data types and analytic methods to reveal new insights; however, beyond oncology, there has been limited success in translating precision medicine research for complex diseases into clinical practice. Thus
Variational Mode Decomposition (VMD) is a powerful formalism for the time-scale analysis of vibration signals from rotating machinery. However, its performance is often compromised by complex parameter configuration, where subjective manual tuning leads to mode mixing or information loss. In this study, we present a physics-guided framework that generalizes VMD optimization across diverse operatin
Levodopa-induced dyskinesia (LID) is a debilitating complication of symptomatic therapy in Parkinson's disease. Although there is compelling evidence that striatal pathophysiology is a major driver of LID, the specific circuit mechanisms governing its expression remain obscure. To address this gap, molecular, cellular, and behavioral strategies were used to interrogate circuits in a mouse model of
