Monitoring network optimisation for spatial data classification using support vector machines

The paper presents a novel method for monitoring network optimisation, based on a recent machine learning technique known as support vector machine. It is problem-oriented in the sense that it directly answers the question of whether the advised spatial location is important for the classification model. The method can be used to increase the accuracy of classification models by taking a small number of additional measurements. Traditionally, network optimisation is performed by means of the analysis of the kriging variances. The comparison of the method with the traditional approach is presented on a real case study with climate data.

Amniotic fluid insulin-like growth factor binding protein 3 concentration as early indicator of fetal growth restriction.

OBJECTIVE: Insulin-like growth factor-I (IGF-I) is an important regulator of fetal growth and its bioavailability depends on insulin-like growth factor binding proteins (IGFBPs). Genes coding for IGF-I and IGFBP3 are polymorphic. We hypothesized that either amniotic fluid protein concentration at the beginning of the second trimester or genotype of one of these two genes could be predictive of abnormal fetal growth. STUDY DESIGN: Amniotic fluid samples (14-18 weeks of pregnancy) from 123 patients with appropriate for gestational age (AGA) fetuses, 39 patients with small for gestational age (SGA) fetuses and 34 patients with large for gestational age (LGA) were analyzed. Protein concentrations were evaluated by ELISA and gene polymorphisms by PCR. RESULTS: Amniotic fluid IGFBP3 concentrations were significantly higher in SGA compared to AGA group (P=0.030), and this was even more significant when adjusted to gestational age at the time of amniocentesis and other covariates (ANCOVA analysis: P=0.009). Genotypic distribution of IGF-I variable number of tandem repeats (VNTR) polymorphism was significantly different in SGA compared to AGA group (P=0.029). 19CA/20CA genotype frequency was threefold decreased in SGA compared to AGA group and the risk of SGA occurrence of this genotype was decreased accordingly: OR=0.289, 95%CI=0.1-0.9, P=0.032. Genotype distribution of IGFBP3(A-202C) polymorphism was similar in all three groups. CONCLUSIONS: High IGFBP3 concentrations in amniotic fluid at the beginning of the second trimester are associated with increased risks of SGA while 19CA/20CA genotype at IGF-I VNTR polymorphism is associated with reduced risks of SGA. Neither IGFBP3 concentrations, nor IGF-I/IGFBP3 polymorphisms are associated with modified risks of LGA.

Die Reichweite von Theorien als Indikator für ihre Umsetzbarkeit in der Praxis [The scope as an indicator of the applicability of nursing theories to practice]

In der Pflegewissenschaft geben der Einsatz von Theorien und der daraus folgende Gewinn immer wieder Anlass zu Diskussionen. Ein Hauptvorwurf ist, dass Pflegetheorien als sehr abstrakt und wenig praxisnah gelten. Jedoch gibt es wenige Indikatoren, um das Abstraktionsniveau von Theorien und die damit verbundene Reichweite zu bestimmen. Im vorliegenden Artikel werden Fragen basierend auf die Definitionen und Grundannahmen von Theorien erstellt. Damit werden anschließend drei ausgesuchte Theorien auf ihr Abstraktionsniveau und Reichweite untersucht. Es wurden 18 Fragen zu den drei Bereichen ,,Zweck der Theorie", ,,Aufgabe der Theorie" und ,,Beschreibung der Theorie" entwickelt. Diese 18 Fragen wurden auf die Theorie der Adaptation von Sister Callista Roy, die Theorie zur Unsicherheit von Merle M. Mishel und die Theorie der Omnipräsenz von Krebs von Maya Shaha angewendet. [The use of nursing theories and their associated benefits remain an area of repeated discussion in nursing. One of the main objections is that nursing theories are abstract and therefore cannot be easily applied to practice. However, only few indicators exist to help identify a theory's level of abstraction or its scope. In this article, questions based on definitions and assumptions of theories have been developed. These questions have then been applied to three selected theories to investigate their level of abstraction and scope. A total of 18 questions divided into three domains were developed. The three categories were: ,,the purpose of the theory", ,,the aim of the theory" and ,,the description of the theory". The theory of Adaptation by Sister Callista Roy, the Theory of Uncertainty by Merle M. Mishel and the Theory of the Omnipresence of Cancer by Maya Shaha were selected to be analysed following the three domains with the 18 questions.]

Characterization of fecal indicator bacteria in sediments cores from the largest freshwater lake of Western Europe (Lake Geneva, Switzerland)

This study characterized the fecal indicator bacteria (FIB), including Escherichia coli (E. coli) and Enteroccocus (ENT), disseminated over time in the Bay of Vidy, which is the most contaminated area of Lake Geneva. Sediments were collected from a site located at similar to 500 m from the present waste water treatment plant (WWTP) outlet pipe, in front of the former WWTP outlet pipe, which was located at only 300 m from the coastal recreational area (before 2001). E. coil and ENT were enumerated in sediment suspension using the membrane filter method. The FIB characterization was performed for human Enterococcus faecalis (E. faecalis) and Enterococcus faecium (E. faecium) and human specific bacteroides by PCR using specific primers and a matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Bacterial cultures revealed that maximum values of 35.2 x 10(8) and 6.6 x 10(6) CFU g(-1) dry sediment for E. coil and ENT, respectively, were found in the sediments deposited following eutrophication of Lake Geneva in the 1970s. whereas the WWTP started operating in 1964. The same tendency was observed for the presence of human fecal pollution: the percentage of PCR amplification with primers ESP-1/ESP-2 for E. faecalis and E. faecium indicated that more than 90% of these bacteria were from human origin. Interestingly, the PCR assays for specific-human bacteroides HF183/HF134 were positive for DNA extracted from all isolated strains of sediment surrounding WWPT outlet pipe discharge. The MALDI-TOF MS confirmed the presence of general E. coli and predominance E. faecium in isolated strains. Our results demonstrated that human fecal bacteria highly increased in the sediments contaminated with WWTP effluent following the eutrophication of Lake Geneva. Additionally, other FIB cultivable strains from animals or adapted environmental strains were detected in the sediment of the bay. The approaches used in this research are valuable to assess the temporal distribution and the source of the human fecal pollution in aquatic environments. (C) 2011 Elsevier Inc. All rights reserved.

Amniotic fluid insulin-like growth factor binding-protein 3 concentration as early indicator of fetal growth restriction

Rapport de synthèse : Introduction : La croissance foetale infra-utérine dépend d'un grand nombre de facteurs maternels, placentaires et foetaux. Une inadéquation d'un ou plusieurs de ces facteurs peut induire un retard de croissance infra-utérin (RCIU) ou au contraire une macrosomie. Les principales causes de RCIU comprennent les infections maternelles, l'éclampsie, les cardiovasculopathies maternelles, la toxicomanie, les malformations foetales et les insuffisances placentaires. Les facteurs endocriniens constituent un petit pourcentage des causes de RCIU, mais méritent que l'on s'y intéresse de plus près. Les facteurs hormonaux les plus importants pour la croissance fatale sont l'insuline et les insuline-like growth factors (IGFs) et non l'hormone de croissance (GH) qui joue un rôle majeur dans la croissance postnatale. Notre attention s'est portée sur IGF-1 qui joue un rôle important dans la croissance intrautérine. Sa biodisponibilité dépend de plusieurs protéines plasmatiques, les IGF-binding proteins (IGFBP 1 à 9). IGFBP-3 est la principale de ces IGFBPs, autant d'un point de vue quantitatif que fonctionnel. Nous avons cherché à déterminer si les concentrations d'IGF-1 et d'IGFBP-3 dans le liquide amniotique au début du deuxième trimestre étaient prédictives de la croissance infra-utérine. Les gènes codant pour IGF-1 et IGFBP-3 contenant certaines séquences polymorphiques, nous avons également étudié leur influence sur la croissance foetale. L'analyse du liquide amniotique présente l'avantage de pouvoir être effectuée dès la 14ème semaine d'aménorrhée alors que la biométrie foetale échographique ne permet pas à ce stade de déceler des anomalies de la croissance infra-utérine. Méthode : Nous avons analysé des échantillons de liquide amniotique prélevés entre la 14ème et la 18ème semaine de grossesse chez 196 patientes. Les concentrations d'IGF-1 et d'IGFBP-3 ont été dosées par ELISA, les polymorphismes analysés par PCR. Ces résultats ont été ensuite analysés en fonction du poids de naissance des nouveaux-nés, répartis en trois groupes normal pour l'âge gestationnel (AGA), petit pour l'âge gestationnel (SGA) et grand pour l'âge gestationnel (LGA). Résultats : Les concentrations d'IGFBP3 dans le liquide amniotique sont significativement plus élevées (p = 0.030) dans le groupe SGA par rapport au groupe AGA, d'autant plus quand les taux sont ajustés en fonction de paramètres tels que l'âge gestationnel lors de l'amniocentèse (ANCOVA analysis : p = 0.009). La distribution du polymorphisme VNTR (variable number of tandem repeat) dans la région promotrice d'IGF-1 au sein du groupe SGA est significativement différente de celle du groupe AGA (p = 0.029). En effet, la fréquence de l'association allélique 19CA/20CA est diminuée dans le groupe SGA. Nous n'avons pas identifié de différence de distribution des séquences polymorphiques d'IGFBP-3 entre les différents groupes. Conclusion : Une concentration élevée d'IGFBP-3 dans le liquide amniotique au début du deuxième trimestre est associée à un risque plus élevé de retard de croissance alors que l'association allélique 19CA/20CA dans la région polymorphique IGF-1 VNTR est un facteur protecteur.

Indicator displacement assays as molecular timers

Dynamic mixtures of Rh-dye complexes can be used to determine the history of chemical events such as the addition of ATP and ADP by UV-vis spectroscopy.

Wavelet analysis residual kriging vs. neural network residual kriging

This paper deals with the problem of spatial data mapping. A new method based on wavelet interpolation and geostatistical prediction (kriging) is proposed. The method - wavelet analysis residual kriging (WARK) - is developed in order to assess the problems rising for highly variable data in presence of spatial trends. In these cases stationary prediction models have very limited application. Wavelet analysis is used to model large-scale structures and kriging of the remaining residuals focuses on small-scale peculiarities. WARK is able to model spatial pattern which features multiscale structure. In the present work WARK is applied to the rainfall data and the results of validation are compared with the ones obtained from neural network residual kriging (NNRK). NNRK is also a residual-based method, which uses artificial neural network to model large-scale non-linear trends. The comparison of the results demonstrates the high quality performance of WARK in predicting hot spots, reproducing global statistical characteristics of the distribution and spatial correlation structure.

Validation of the potentially avoidable hospital readmission rate as a routine indicator of the quality of hospital care

BACKGROUND: The hospital readmission rate has been proposed as an important outcome indicator computable from routine statistics. However, most commonly used measures raise conceptual issues. OBJECTIVES: We sought to evaluate the usefulness of the computerized algorithm for identifying avoidable readmissions on the basis of minimum bias, criterion validity, and measurement precision. RESEARCH DESIGN AND SUBJECTS: A total of 131,809 hospitalizations of patients discharged alive from 49 hospitals were used to compare the predictive performance of risk adjustment methods. A subset of a random sample of 570 medical records of discharge/readmission pairs in 12 hospitals were reviewed to estimate the predictive value of the screening of potentially avoidable readmissions. MEASURES: Potentially avoidable readmissions, defined as readmissions related to a condition of the previous hospitalization and not expected as part of a program of care and occurring within 30 days after the previous discharge, were identified by a computerized algorithm. Unavoidable readmissions were considered as censored events. RESULTS: A total of 5.2% of hospitalizations were followed by a potentially avoidable readmission, 17% of them in a different hospital. The predictive value of the screen was 78%; 27% of screened readmissions were judged clearly avoidable. The correlation between the hospital rate of clearly avoidable readmission and all readmissions rate, potentially avoidable readmissions rate or the ratio of observed to expected readmissions were respectively 0.42, 0.56 and 0.66. Adjustment models using clinical information performed better. CONCLUSION: Adjusted rates of potentially avoidable readmissions are scientifically sound enough to warrant their inclusion in hospital quality surveillance.

Monosomal karyotype in acute myeloid leukemia: a better indicator of poor prognosis than a complex karyotype.

PURPOSE: To investigate the prognostic value of various cytogenetic components of a complex karyotype in acute myeloid leukemia (AML). PATIENTS AND METHODS: Cytogenetics and overall survival (OS) were analyzed in 1,975 AML patients age 15 to 60 years. RESULTS: Besides AML with normal cytogenetics (CN) and core binding factor (CBF) abnormalities, we distinguished 733 patients with cytogenetic abnormalities. Among the latter subgroup, loss of a single chromosome (n = 109) conferred negative prognostic impact (4-year OS, 12%; poor outcome). Loss of chromosome 7 was most common, but outcome of AML patients with single monosomy -7 (n = 63; 4-year OS, 13%) and other single autosomal monosomies (n = 46; 4-year OS, 12%) did not differ. Structural chromosomal abnormalities influenced prognosis only in association with a single autosomal monosomy (4-year OS, 4% for very poor v 24% for poor). We derived a monosomal karyotype (MK) as a predictor for very poor prognosis of AML that refers to two or more distinct autosomal chromosome monosomies (n = 116; 4-year OS, 3%) or one single autosomal monosomy in the presence of structural abnormalities (n = 68; 4-year OS, 4%). In direct comparisons, MK provides significantly better prognostic prediction than the traditionally defined complex karyotype, which considers any three or more or five or more clonal cytogenetic abnormalities, and also than various individual specific cytogenetic abnormalities (eg, del[5q], inv[3]/t[3;3]) associated with very poor outcome. CONCLUSION: MK enables (in addition to CN and CBF) the prognostic classification of two new aggregates of cytogenetically abnormal AML, the unfavorable risk MK-negative category (4-year OS, 26% +/- 2%) and the highly unfavorable risk MK-positive category (4-year OS, 4% +/- 1%).

Frequency-dependent attenuation as a potential indicator of oil saturation

At seismic frequencies, wave-induced fluid flow is a major cause of P-wave attenuation in partially saturated porous rocks. Attenuation is of great importance for the oil industry in the interpretation of seismic field data. Here, the effects on P-wave attenuation resulting from changes in oil saturation are studied for media with coexisting water, oil, and gas. For that, creep experiments are numerically simulated by solving Biot's equations for consolidation of poroelastic media with the finite-element method. The experiments yield time-dependent stress?strain relations that are used to calculate the complex P-wave modulus from which frequency-dependent P-wave attenuation is determined. The models are layered media with periodically alternating triplets of layers. Models consisting of triplets of layers having randomly varying layer thicknesses are also considered. The layers in each triplet are fully saturated with water, oil, and gas. The layer saturated with water has lower porosity and permeability than the layers saturated with oil and gas. These models represent hydrocarbon reservoirs in which water is the wetting fluid preferentially saturating regions of lower porosity. The results from the numerical experiments showed that increasing oil saturation, connected to a decrease in gas saturation, resulted in a significant increase of attenuation at low frequencies (lower than 2 Hz). Furthermore, replacing the oil with water resulted in a distinguishable behavior of the frequency-dependent attenuation. These results imply that, according to the physical mechanism of wave-induced fluid flow, frequency-dependent attenuation in media saturated with water, oil, and gas is a potential indicator of oil saturation.

Conviction Statistics as an Indicator of Crime Trends in Europe from 1990 to 2006

Convictions statistics were the first criminal statistics available in Europe during the nineteenth century. Their main weaknesses as crime measures and for comparative purposes were identified by Alphonse de Candolle in the 1830s. Currently, they are seldom used by comparative criminologists, although they provide a less valid but more reliable measure of crime and formal social control than police statistics. This article uses conviction statistics, compiled from the four editions of the European Sourcebook of Crime and Criminal Justice Statistics, to study the evolution of persons convicted in European countries from 1990 to 2006. Trends in persons convicted for six offences -intentional homicide, assault, rape, robbery, theft, and drug offences- and up to 26 European countries are analysed. These trends are established for the whole of Europe as well as for a cluster of Western European countries and a cluster of Central and Eastern European countries. The analyses show similarities between both regions of Europe at the beginning and at the end of the period under study. After a general increase of the rate of persons convicted in the early 1990s in the whole of Europe, trends followed different directions in Western and in Central and Eastern Europe. However, during the 2000s, it can be observed, throughout Europe, a certain stability of the rates of persons convicted for intentional homicides, accompanied by a general decrease of the rate of persons convicted for property offences, and an increase of the rate of those convicted for drug offences. The latter goes together with an increase of the rate of persons convicted for non lethal violent offences, which only reached some stability at the end of the time series. These trends show that there is no general crime drop in Europe. After a discussion of possible theoretical explanations, a multifactor model, inspired by opportunity-based theories, is proposed to explain the trends observed.