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ICARUS -- An Extensible Graphical Search Tool for Dependency Treebanks

We present ICARUS, a versatile graphical search tool to query dependency treebanks. Search results can be inspected both quantitatively and qualitatively bymeans of frequency lists, tables, or dependency graphs. ICARUS also ships with plugins that enable it to interface with tool chains running either locally or remotely.

The impact of symptoms on health-related quality of life in elderly pre-dialysis patients : effect and importance in the EQUAL study

BACKGROUND: Quality of life (QoL) is an important outcome in chronic kidney disease (CKD). Patients feel that symptoms are an important determinant of QoL. However, this relation is unknown. The aims of this study were to investigate the impact of the number and severity of symptoms on QoL in elderly pre-dialysis patients, assessed by both the effect of symptoms and their importance relative to ki

A system for automated tracking of motor components in neurophysiological research

In the study of motor systems it is often necessary to track the movements of an experimental animal in great detail to allow for interpretation of recorded brain signals corresponding to different control signals. This task becomes increasingly difficult when analyzing complex compound movements in freely moving animals. One example of a complex motor behavior that can be studied in rodents is th

Estimation of adsorption parameters in a detailed affinity chromatography model based on shallow bed experiments

A method for estimation of unknown adsorption parameters in a detailed chromatography model including the Langmuir adsorption expression is proposed. The model describes the concentration of the solute in the mobile phase and considers extemal/intemal mass transfer resistance and adsorption dynamics. The external volume and its mixing effect are also considered. The unknown model parameters estima

Study of predicting inflow temperature of the acrylic acid oxidation reactor accurately based on soft-sensing

Inflow Temperature is an important factor affecting the safety of propylene oxidation process. A soft-sensing model is proposed to monitor inflow temperature of the acrylic acid oxidation reactor. PSO-SVM method is used in the soft-sensing model. Five auxiliary variables, namely the top pressure P1, the top temperature T1, the bottom pressure P2, the bottom temperature T2 and the bottom temperatur

Slow-light-based optical frequency shifter

We demonstrate experimentally and theoretically a controllable way of shifting the frequency of an optical pulse by using a combination of spectral hole burning, slow light effect, and linear Stark effect in a rare-earth-ion-doped crystal. We claim that the solid angle of acceptance of a frequency shift structure can be close to 2π, which means that the frequency shifter could work not only for op

Economic Evaluation of Elective Cesarean Section on Maternal Request Compared With Planned Vaginal Birth—Application to Swedish Setting Using National Registry Data

Objectives: There is a lack of consensus around the definition of delivery by cesarean section (CS) on maternal request, and clinical practice varies across and within countries. Previous economic evaluations have focused on specific populations and selected complications. Our aim was to evaluate the cost-effectiveness of CS on maternal request compared with planned vaginal birth in a Swedish cont

Pulmonary embolism and deep venous thrombosis after COVID-19 : long-term risk in a population-based cohort study

Background: Venous thromboembolism (VTE) (pulmonary embolism [PE] or deep venous thrombosis [DVT]) is common during acute COVID-19. Long-term excess risk has not yet been established. Objectives: To study long-term VTE risk after COVID-19. Methods: Swedish citizens aged 18 to 84 years hospitalized and/or testing positive for COVID-19 between January 1, 2020, and September 11, 2021 (exposed), strat

Coulomb engineering of two-dimensional Mott materials

Two-dimensional materials can be strongly influenced by their surroundings. A dielectric environment screens and reduces the Coulomb interaction between electrons in the two-dimensional material. Since in Mott materials the Coulomb interaction is responsible for the insulating state, manipulating the dielectric screening provides direct control over Mottness. Our many-body calculations reveal the

Chaos to control : human assisted scene inspection

We are working towards a mixed reality-based human-robot collaboration interface using gaze and gesture as methods of communicating intent in a search and rescue scenario to optimize the operation. The lack of mature algorithms and control schemes for autonomous systems makes it still difficult for them to operate safely in high-risk environments. We are approaching the problem through symbiosis w

Anti-windup coordination strategy around a fair equilibrium in resource sharing networks

We coordinate interconnected agents where the control input of eachagent is limited by the control input of others. In that sense, the sys-tems have to share a limited resource over a network. Such problems canarise in different areas and it is here motivated by a district heating ex-ample. When the shared resource is insufficient for the combined needof all systems, the resource will have to be s

The influence of ignition control parameters on combustion stability and spark plug wear in a large bore gas engine

The paper presents novel studies on the impact of different ignition control parameters on combustion stability and spark plug wear. First, experimental results from a 32.4-liter biogas fueled large bore single cylinder spark ignition engine are discussed. Two different ignition systems were considered in the experiment: a DC inductive and an AC capacitive. The spark plugs used in the experiment w

Packaging innovation scorecard

Innovation literature shows that the characteristics of a company's innovation processes determine their performance in different areas. In this study, we adopt a general conceptual model from innovation theory and apply it to packaging innovation. This helps identify and describe subprocesses in packaging innovation and how to measure their performance. It also links the packaging innovation proc

Ah, alright, okay! : communicating understanding in conversational product search

When talking about products, people often express their needs in vague terms with vocabulary that does not necessarily overlap with product descriptions written by retailers. This poses a problem for chatbots in online shops, as the vagueness and vocabulary mismatch can lead to misunderstandings. In human-human communication, people intuitively build a common understanding throughout a conversatio

A multi-program analysis of cleft lip with cleft palate prevalence and mortality using data from 22 International Clearinghouse for Birth Defects Surveillance and Research programs, 1974–2014

Background: Cleft lip with cleft palate (CLP) is a congenital condition that affects both the oral cavity and the lips. This study estimated the prevalence and mortality of CLP using surveillance data collected from birth defect registries around the world. Methods: Data from 22 population- and hospital-based surveillance programs affiliated with the International Clearinghouse for Birth Defects S

Circuit analysis using monotone+skew splitting

It is shown that the behavior of an m-port circuit of maximal monotone elements can be expressed as a zero of the sum of a maximal monotone operator containing the circuit elements, and a structured skew-symmetric linear operator representing the interconnection structure, together with a linear output transformation. The Condat–Vũ algorithm solves inclusion problems of this form, and may be used

Learning to Adapt the Parameters of Behavior Trees and Motion Generators (BTMGs) to Task Variations

The ability to learn new tasks and quickly adapt to different variations or dimensions is an important attribute in agile robotics. In our previous work, we have explored Behavior Trees and Motion Generators (BTMGs) as a robot arm policy representation to facilitate the learning and execution of assembly tasks. The current implementation of the BTMGs for a specific task may not be robust to the ch

Neurobehavioral symptoms in children born extremely preterm : A Swedish National Study

Aim: To determine the prevalence of neurobehavioral symptoms at 6.5 years in children born extremely preterm (EPT, <27 weeks' gestation). Methods: Population-based cohort study of infants born EPT in Sweden from 2004 to 2007. Of 486 survivors 375 were assessed and compared with 369 matched term-born controls. EPT children free from neurosensory and intellectual disabilities (neurodevelopmental dis

Hydraulic Parameter Estimation in District Heating Networks

Using hydraulic models in control design in district heating networks can increase pumping efficiency and reduce sensitivity to hydraulic bottlenecks. These models are usually white-box, as they are obtained based on full knowledge of the district heating network and its parameters. This type of model is time-consuming to obtain, and might differ from the actual behavior of the system. In this pap