bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decomposition of fractionated local electrograms using an analytic signal model based on sigmoid functions
Authors: Wiener Thomas , Campos Fernando O. , Plank Gernot , Hofer Ernst 
Published: October 2013

AbstractMicrostructural heterogeneities in cardiac tissue, such as embedded connective tissue secondary to fibrosis, may lead to complex patterns of electrical activation that are reflected in the fractionation of extracellularly recorded electrograms. The decomposition of such electrograms into non-fractionated components is expected to provide additional information to allow a more precise classification of the microstructural properties adjacent to a given recording site. For the sake of this, an analytic signal model is introduced in this study that is capable of reliably identifying extracellular waveforms associated with sites of initiating, free-running, and terminating or colliding activation wavefronts. Using this signal model as a template, a procedure is developed for the automatic decomposition of complex fractionated electrograms into non-fractionated components. The decomposition method has been validated using electrograms obtained from one- and two-dimensional computer simulations in which all relevant intracellular and extracellular quantities are accessible at a very high spatiotemporal resolution and can be manipulated in a controlled manner. Fractionated electrograms were generated in these models by incorporating microstructural obstacles that mimicked inlays of connective tissue. Using this signal model, fractionated electrograms emerging from microstructural heterogeneities in the submillimeter range with latencies between components down to 0.6 ms can be decomposed.
Feature selection using binary particle swarm optimization and support vector machines for medical diagnosis
Authors: Daliri Mohammad Reza 
Published: October 2013

AbstractIn this article, we propose a feature selection strategy using a binary particle swarm optimization algorithm for the diagnosis of different medical diseases. The support vector machines were used for the fitness function of the binary particle swarm optimization. We evaluated our proposed method on four databases from the machine learning repository, including the single proton emission computed tomography heart database, the Wisconsin breast cancer data set, the Pima Indians diabetes database, and the Dermatology data set. The results indicate that, with selected less number of features, we obtained a higher accuracy in diagnosing heart, cancer, diabetes, and erythematosquamous diseases. The results were compared with the traditional feature selection methods, namely, the F-score and the information gain, and a superior accuracy was obtained with our method. Compared to the genetic algorithm for feature selection, the results of the proposed method show a higher accuracy in all of the data, except in one. In addition, in comparison with other methods that used the same data, our approach has a higher performance using less number of features.
Determination of the frictional coefficient of the implant-antler interface: experimental approach
Authors: Hasan Istabrak , Keilig Ludger , Staat Manfred , Wahl Gerhard , Bourauel Christoph 
Published: October 2013

AbstractThe similar bone structure of reindeer antler to human bone permits studying the osseointegration of dental implants in the jawbone. As the friction is one of the major factors that have a significant influence on the initial stability of immediately loaded dental implants, it is essential to define the frictional coefficient of the implant-antler interface. In this study, the kinetic frictional forces at the implant-antler interface were measured experimentally using an optomechanical setup and a stepping motor controller under different axial loads and sliding velocities. The corresponding mean values of the static and kinetic frictional coefficients were within the range of 0.5–0.7 and 0.3–0.5, respectively. An increase in the frictional forces with increasing applied axial loads was registered. The measurements showed an evidence of a decrease in the magnitude of the frictional coefficient with increasing sliding velocity. The results of this study provide a considerable assessment to clarify the suitable frictional coefficient to be used in the finite element contact analysis of antler specimens.
Operator Differential-Algebraic Equations Arising in Fluid Dynamics
Authors: Emmrich Etienne , Mehrmann Volker 
Published: October 2013

Abstract.
Existence and uniqueness of generalized solutions
to initial value problems for a class of abstract
differential-algebraic equations (DAEs) is shown.
The class of equations covers, in particular, the Stokes and Oseen problem
describing the motion of an incompressible
or nearly incompressible Newtonian fluid
but also their spatial semi-discretization.
The equations are governed by a block operator matrix
with entries that fulfill suitable inf-sup conditions. The problem data are
required to satisfy appropriate consistency conditions.
The results in infinite dimensions are compared in detail
with those known for the DAEs that arise after semi-discretization in space.
Explicit solution formulas are derived in both cases.
Synthesis of N-(2-pyridyl)imidazolidin-2-ones and 1-(2-pyridyl)-2,3,7,8-tetrahydro-1H-imidazo[2,1-b][1,3,5]triazepin-5(6H)-ones with potential biological activities
Authors: Balewski Łukasz , Sączewski Franciszek , Gdaniec Maria , Bednarski Patrick J. , Jara Izabela 
Published: October 2013

Abstract
Small libraries of 1-(2-pyridyl)imidazolidin-2-one and 1-(2-pyridyl)-2,3,7,8-tetrahydro-1H-imidazo[2,1-b]- [1,3,5]triazepin-5(6H)-one derivatives were prepared from substituted pyridine or quinoline N-oxides and 2-chloro-4,5-dihydroimidazole by means of the α-ureation and α-amination reactions. The α-ureation reaction of pyridine and quinoline N-oxides was studied theoretically by means of quantum chemical calculations at the density functional theory level. The newly obtained compounds were screened for their potential in vitro cytotoxic activity against human tumor cell lines LCLC-103H, 5637 and A-427.
Brauer relations in finite groups II: Quasi-elementary groups of order paq
Authors: Bartel Alex , Dokchitser Tim 
Published: October 2013

Abstract.
This is the second in a series of papers investigating the space of Brauer
relations of a finite group, the kernel of the natural map from its
Burnside ring to the rational representation ring.
The first paper classified all primitive Brauer relations, that
is those that do not come from proper subquotients.
In the case of quasi-elementary groups the description is intricate,
and it does not specify groups that have primitive relations in terms of
generators and relations. In this paper we provide such a classification in
terms of generators and relations for quasi-elementary groups of order paq.
Increased Genomic Prediction Accuracy in Wheat Breeding Through Spatial Adjustment of Field Trial Data
Authors: Lado Bettina , Matus Ivan , Rodríguez Alejandra , Inostroza Luis , Poland Jesse , Belzile François , del Pozo Alejandro , Quincke Martín , Castro Marina , von Zitzewitz Jarislav 
Published: October 2013

AbstractIn crop breeding, the interest of predicting the performance of candidate cultivars in the field has increased due to recent advances in molecular breeding technologies. However, the complexity of the wheat genome presents some challenges for applying new technologies in molecular marker identification with next-generation sequencing. We applied genotyping-by-sequencing, a recently developed method to identify single-nucleotide polymorphisms, in the genomes of 384 wheat (Triticum aestivum) genotypes that were field tested under three different water regimes in Mediterranean climatic conditions: rain-fed only, mild water stress, and fully irrigated. We identified 102,324 single-nucleotide polymorphisms in these genotypes, and the phenotypic data were used to train and test genomic selection models intended to predict yield, thousand-kernel weight, number of kernels per spike, and heading date. Phenotypic data showed marked spatial variation. Therefore, different models were tested to correct the trends observed in the field. A mixed-model using moving-means as a covariate was found to best fit the data. When we applied the genomic selection models, the accuracy of predicted traits increased with spatial adjustment. Multiple genomic selection models were tested, and a Gaussian kernel model was determined to give the highest accuracy. The best predictions between environments were obtained when data from different years were used to train the model. Our results confirm that genotyping-by-sequencing is an effective tool to obtain genome-wide information for crops with complex genomes, that these data are efficient for predicting traits, and that correction of spatial variation is a crucial ingredient to increase prediction accuracy in genomic selection models.
Detecting Selection Using Time-Series Data of Allele Frequencies with Multiple Independent Reference Loci
Authors: Nishino Jo 
Published: October 2013

AbstractRecently, in 2013 Feder et al. proposed the frequency increment test (FIT), which evaluates natural selection at a single diallelic locus by the use of time-series data of allele frequencies. This test is unbiased under conditions of constant population size and no sampling noise. Here, we expand upon the FIT by introducing a test that explicitly allows for changes in population size by using information from independent reference loci. Various demographic models suggest that our proposed test is unbiased irrespective of fluctuations in population size when sampling noise can be ignored and that it has greater power to detect selection than the FIT if sufficient reference loci are used.
Neonatal Abstinence Syndrome Management From Prenatal Counseling to Postdischarge Follow-up Care: Results of a National Survey
Authors: Mehta Aakriti , Forbes Kathryn Dawn , Kuppala Venkata Sasidhar 
Published: October 2013

Objective:The goal of this study was to assess the current status of neonatal abstinence syndrome management from prenatal counseling to postdischarge follow-up care.Methods:An anonymous electronic survey of 26 questions was sent to the medical directors or charge nurses at 383 NICUs. Contact information was obtained by using the American Medical Association’s FREIDA online database and the 2011 American Hospital Association Guide Book. Responses were gathered by using the SurveyMonkey online portal, which was designed to grant responders 1-time access.Results:There were 179 responses (47%), and 0.6%, 16.2%, and 83.2% identified themselves as level I, level II, and level III units, respectively. Prenatal counseling for at-risk mothers is offered by 56.5% of responders. Written protocols for neonatal abstinence syndrome management were reported by 72.5%. All but 3 institutions used toxicology screening in cases of suspected in utero drug exposure. Formalized scoring is used by 98.7%. Breastfeeding is recommended by 74.1%. Morphine (56.1%), methadone (24.8%), and tincture of opium (12.7%) are the most common first-line agents reported in opiate withdrawal, whereas morphine (51.0%), methadone (19.7%), and phenobarbital (13.6%) are used in polydrug withdrawal. Less than 20% of NICUs use clonidine. Home treatment programs are offered by 34.0% of responders, and long-term developmental follow-up is offered by 71.3%.Conclusions:There is considerable diversity in the management of neonatal abstinence syndrome. Alternative management strategies, including prenatal counseling and home treatment programs, need to be explored to improve overall patient care.
Procedural Sedation by Pediatric Hospitalists: Analysis of the Nature and Incidence of Complications During Ketamine and Nitrous Oxide Sedation
Authors: Srinivasan Mythili , Carlson Douglas W. 
Published: October 2013

Objective:The goal of this study was to determine the nature and rate of complications during procedural sedation by pediatric hospitalists (PH) using ketamine and nitrous oxide (N2O).Methods:This study was a retrospective review and analysis of a quality improvement database for sedations performed by PH at St Louis Children’s Hospital from February 2007 to February 2013. Information was obtained on sedations performed and reported in the quality improvement database by PH over this time period using ketamine and N2O.Results:PH performed 8870 sedations from 2007 to 2013, 60.2% using ketamine and 39.8% using N2O. Procedural completion rates were &gt;99%; 0.12% of sedations were not completed due to inadequate sedation, and sedation level was not achieved in 1.71% of sedations. There were no occurrences of death, need for cardiopulmonary resuscitation, unplanned intubation, or emergency anesthesia consultation. The only major complications were 4 unplanned admissions, 2 each with ketamine and N2O. With ketamine, the 2 highest rates of complications were airway repositioning (3.99%) and nausea and/or vomiting (2.98%). With N2O, the 2 highest complication rates were nausea and/or vomiting (8.50%) and airway repositioning (1.10%). Respiratory and cardiovascular events were more frequently encountered with ketamine, whereas nausea/vomiting, sedation level not achieved, and inadequate sedation resulting in procedure not completed occurred more frequently with N2O.Conclusions:PH at St Louis Children’s Hospital successfully provided sedation by using ketamine and N2O with low rates of complications for a variety of procedures.
Guiding Principles for Pediatric Hospital Medicine Programs
Authors:   SECTION ON HOSPITAL MEDICINE, Mirkinson Laura J. , Daru Jennifer A. , Fisher Erin R. Stucky , Garber Matthew D. , Hain Paul D. , Narang A. Steve , Quinonez Ricardo A. , Rauch Daniel A. 
Published: October 2013

This Policy Statement was retired August 2020.
Pediatric hospital medicine programs have an established place in pediatric medicine. This statement speaks to the expanded roles and responsibilities of pediatric hospitalists and their integrated role among the community of pediatricians who care for children within and outside of the hospital setting.
Interest of Czech Population in Water Management
Authors: Kniezková Tereza 
Published: October 2013

Abstract This paper describes the process and results of a questionnaire survey. The research objective was to determine whether the Czech population has interest in water management. The subject to the creation of the survey was the fact that one of the main objectives of water policy of the European Union, on which water policy of the Czech Republic is based, is the need to increase public awareness of water issues and their involvement in the decision making process. The partial objective was to determine whether there is a difference in interest between those living in the countryside and those living in the city. In this paper a method of quantitative data collection - a questionnaire survey was used. The results show that people have interest in water management. There are no differences between the views of people who live in rural areas and those who live in the city. Great interest is in water supply and related development of water supply and sewerage systems.
Leader Policy Practices and Landscapes in the Light of the Agency-Structure Debate: Evidence from Leader Local Action Groups in Italy and in Finland
Authors: Rizzo Fulvio 
Published: October 2013

AbstractThis article investigates LEADER policy practices and landscapes within very different regions of the European Union: North Karelia, Finland, and South Tyrol, Italy. The qualitative analysis of this geo-institutional comparison is carried out in the light of the agency-structure debate. Such theoretical framework contributes to investigate policies on the basis of their causal/contextual conjunctures; at the same time, it cautions from the contemporary common approach to identify ‘best’ policy practices. In the Joensuun Seudun LEADER Local Action Group, policy processes of social engagement are encompassed by the dominating structures of ‘village’, and ‘subpolitics’. In the Local Action Group Wipptal instead, the data suggest that the dominating structural dimensions are ‘politics’ and ‘agriculture’. Against the background of a re-territorialized rural development, policy implementation is a unique geographical process, which cannot be left aside neither from its contextual conjunctures, nor from a broad theoretical framework.
Data Mining Approach to Image Feature Extraction in Old Painting Restoration
Authors: Gancarczyk Joanna , Sobczyk Joanna 
Published: October 2013

Abstract
In this paper a new approach to image segmentation was discussed. A model based on a data mining algorithm set on a pixel level of an image was introduced and implemented to solve the task of identification of craquelure and retouch traces in digital images of artworks. Both craquelure and retouch identification are important steps in art restoration process. Since the main goal is to classify and understand the cause of damage, as well as to forecast its further enlargement, a proper tool for a precise detection of the damaged area is needed. However, the complex nature of the pattern is a reason why a simple, universal detection algorithm is not always possible to be implemented. Algorithms presented in this work apply mining structures which depend of expandable set of attributes forming a feature vector, and thus offer an elastic structure for analysis. The result obtained by our method in craquelure segmentation was improved comparing to the results achieved by mathematical morphology methods, which was confirmed by a qualitative analysis.
The General Survey System Initiative at RTI International: An Integrated System for the Collection and Management of Survey Data
Authors: Thalji Lisa , Hill Craig A. , Mitchell Susan , Suresh R. , Speizer Howard , Pratt Daniel 
Published: October 2013

Abstract
There is a risk of introducing survey error at every stage of any study involving a survey: design, data collection, processing, and analysis. Effectively managing the survey sample from the time of sample selection through the survey lifecycle is essential to producing highquality data on schedule and within budget. Managing the survey lifecycle using software systems that are not fully integrated can result in error and cost inefficiencies. The development of an integrated data collection and management system that supports monitoring of survey error has the potential to reduce errors and improve operational efficiencies. This system, referred to as Nirvana, uses a standardized database, protocol, and terminology. It integrates case status and history information across modes of data collection and tracing as well as sample and contact information. Nirvana also centralizes questionnaire development, quality monitoring, and support for real-time survey management decisions.
Redesign of Statistics Production within an Architectural Framework: The Dutch Experience
Authors: Struijs Peter , Camstra Astrea , Renssen Robbert , Braaksma Barteld 
Published: October 2013

Abstract
In response to a changing environment, Statistics Netherlands has embarked on a large-scale redesign of the way statistics are produced. The aim is to increase the capability to respond to changing information demand, to lower the response burden for surveys, especially for businesses, and to improve efficiency, while preserving the overall quality level. The redesign is carried out within the framework of a so-called enterprise architecture, which gives overall guidance when structuring the processes of the organisation, including statistical methods and IT tools used. The article describes the redesign approach and explains the main features of the architecture. The emphasis is on experiences that may be relevant to other national statistical institutes operating in a similar environment.
Discussion
Authors: Kreuter Frauke 
Published: October 2013

Abstract
This special issue on “Systems and Architectures for High-Quality Statistics Production” is a stimulating resource for statistical agencies and private sector data collectors in a challenging time characterized by massive amounts of data, from a variety of sources, available in varying intervals, and with varying quality.
Traditionally, statistical products were created from a single source, most often through surveys or administrative data. However, neither surveys nor administrative data alone can match the data needs of today’s society. In addition, the need to reduce the costs of data production necessitates that multiple sources are used in combination. The need to reduce costs also necessitates the streamlining of production cycles, and the increasing difficulties in data collection itself require such systems to be much more flexible than they have been in the past. Increasingly, these reasons are driving statistical agencies and private data collectors to redesign their entire data production cycle. The examples in this special issue from Statistics Netherlands and Statistics New Zealand demonstrate such developments in government agencies; the example from RTI reflects efforts visible among private sector data collectors. This commentary will highlight some issues of general interest related to organizational challenges, and some that create the basis for reproducible research and are therefore of general interest to the research community.
The Impact of ERP on Maintenance Management
Authors: Kłos Sławomir , Patalas-Maliszewska Justyna 
Published: October 2013

Abstract
This paper presents a methodology for implementation of an ERP system in the area of production maintenance. The methodology is based on integration of monitoring maintenance events, manufacturing data registration and an employee motivation system.. The maintenance processes discussed in the paper encompass activities in the area of disaster recovery, overhauls, changeovers and special equipment production. This methodology requires implementation of an effective system of data registration and the design of a motivation system for maintenance staff based on the registered data. The models of the maintenance processes are proposed and the illustrative examples are given
Study on Resource Allocations for Sustainable Competitive Advantage
Authors: Takala Josu , Shylina Daryna , Forss Teppo , Malmi Johannes 
Published: October 2013

Abstract
Today’s concern and problem for most of the companies is the way of surviving and prospering in current and future periods of time in the marketplace. Sustainable competitive ability can be one of the ways of adaptation to the global business and rapid environment requirements. Operational competitiveness is not easy to be sustainably improved because of unpredictable environment situations, such as continuous increasing customer needs, global competitive environment, rapid and unpredictable changes in government policy, company crisis during significant changes etc. However, it is possible to make adaptive adjustments on operations strategy level in dynamic business environment and to become competitive enough compared to the competitors. The purpose of this paper is to define and assess sustainable competitive advantage and the direction of development in housing business. It can be analysed by two core factors, i.e. Sense and Respond (S&R) methodology, Analytical Hierarchical Process (AHP) as well as Sustainable competitive advantage (SCA) method. This study also focuses on applying S&R method in order to optimize operational competitiveness as well as defining the competitive priorities of the case company. The analysis results show the critical areas in different departments of the case company, which can help the managers to make quick decisions. In addition, they reveal that during the crisis the resource allocation is continuously changing and therefore the operation strategy of the case company is not well defined as well as competitive advantages are not enough sustainable