The Gut Microbiome and Cirrhosis: Basic Aspects

In this chapter the basic aspects helping to understand the microbiome in terms of quantity, diversity, complexity, function, and interaction with the host are discussed. First the nomenclature, definitions of taxa, and measures of diversity as well as methods to unravel this kingdom are outlined. A brief summary on its physiological relevance for general health and the functions exerted specifically by the microbiome is presented. Differences in the composition of the microbiome along the gastrointestinal tract and across the gut wall and its interindividual variations, enterotypes, and stability are highlighted. The reader will be familiarized with all different modulators impacting on the microbiome, namely, intrinsic and extrinsic factors. Intrinsic factors include gastrointestinal secretions (gastric acid, bile, pancreatic juice, mucus), antimicrobial peptides, motility, enteric nervous system, and host genotype. Extrinsic factors are mainly dietary choices, hygiene, stress, alcohol consumption, exercise, and medications. The second part of the chapter focuses on quantitative and qualitative changes in microbiome in liver cirrhosis. The mechanisms contributing to dysbiosis, small intestinal bacterial overgrowth, and bacterial translocation are delineated underscoring their role for the liver-gut axis.

Shallow Dialogue Processing Using Machine Learning Algorithms (or not)

This paper presents a shallow dialogue analysis model, aimed at human-human dialogues in the context of staff or business meetings. Four components of the model are defined, and several machine learning techniques are used to extract features from dialogue transcripts: maximum entropy classifiers for dialogue acts, latent semantic analysis for topic segmentation, or decision tree classifiers for discourse markers. A rule-based approach is proposed for solving cross-modal references to meeting documents. The methods are trained and evaluated thanks to a common data set and annotation format. The integration of the components into an automated shallow dialogue parser opens the way to multimodal meeting processing and retrieval applications.

Global Optimization with Sparse and Local Gaussian Process Models

We present a novel surrogate model-based global optimization framework allowing a large number of function evaluations. The method, called SpLEGO, is based on a multi-scale expected improvement (EI) framework relying on both sparse and local Gaussian process (GP) models. First, a bi-objective approach relying on a global sparse GP model is used to determine potential next sampling regions. Local GP models are then constructed within each selected region. The method subsequently employs the standard expected improvement criterion to deal with the exploration-exploitation trade-off within selected local models, leading to a decision on where to perform the next function evaluation(s). The potential of our approach is demonstrated using the so-called Sparse Pseudo-input GP as a global model. The algorithm is tested on four benchmark problems, whose number of starting points ranges from 102 to 104. Our results show that SpLEGO is effective and capable of solving problems with large number of starting points, and it even provides significant advantages when compared with state-of-the-art EI algorithms.

Differentiating the Multipoint Expected Improvement for Optimal Batch Design

This work deals with parallel optimization of expensive objective functions which are modelled as sample realizations of Gaussian processes. The study is formalized as a Bayesian optimization problem, or continuous multi-armed bandit problem, where a batch of q > 0 arms is pulled in parallel at each iteration. Several algorithms have been developed for choosing batches by trading off exploitation and exploration. As of today, the maximum Expected Improvement (EI) and Upper Confidence Bound (UCB) selection rules appear as the most prominent approaches for batch selection. Here, we build upon recent work on the multipoint Expected Improvement criterion, for which an analytic expansion relying on Tallis’ formula was recently established. The computational burden of this selection rule being still an issue in application, we derive a closed-form expression for the gradient of the multipoint Expected Improvement, which aims at facilitating its maximization using gradient-based ascent algorithms. Substantial computational savings are shown in application. In addition, our algorithms are tested numerically and compared to state-of-the-art UCB-based batchsequential algorithms. Combining starting designs relying on UCB with gradient-based EI local optimization finally appears as a sound option for batch design in distributed Gaussian Process optimization.

Nonparametric location estimators in the randomized complete block design

Several tests for the comparison of different groups in the randomized complete block design exist. However, there is a lack of robust estimators for the location difference between one group and all the others on the original scale. The relative marginal effects are commonly used in this situation, but they are more difficult to interpret and use by less experienced people because of the different scale. In this paper two nonparametric estimators for the comparison of one group against the others in the randomized complete block design will be presented. Theoretical results such as asymptotic normality, consistency, translation invariance, scale preservation, unbiasedness, and median unbiasedness are derived. The finite sample behavior of these estimators is derived by simulations of different scenarios. In addition, possible confidence intervals with these estimators are discussed and their behavior derived also by simulations.

Eosinophile Granulozyten

Im Jahre 1879 stellte Paul Ehrlich erstmals eine starke Affinität einer bis dahin namenlosen, als grobkörnig granuliert (Wharton 1846) beschriebenen Blutzelle für den Farbstoff Eosin fest. Dieses Färbeverhalten war in der Folge namensgebend für den Eosinophilen (Ehrlich 1879).

Results of the Questionnaire

Early diagnosis of patients with compensated advanced chronic liver disease (cACLD) and portal hypertension is challenging in clinical practice. A growing amount of evidence regarding noninvasive diagnostic methods, and in particular liver stiffness measurement (LSM), suggests that these tools could be used in clinical practice and might potentially limit the use of invasive, reference diagnostic tools (HVPG measurement and endoscopy). Our panel aimed at better understanding the opinion of the Baveno faculty regarding the current practice and use of invasive and noninvasive methods in the field of screening and surveillance of varices; a specific questionnaire was electronically sent to all the faculty members. The results suggested that the experts agreed on the use of noninvasive methods to rule out/identify patients with cACLD. They also indicated that the persistence or removal of the causal agent which led to cirrhosis should guide the choice of using the shortest or the longest interval among those recommended for surveillance endoscopies. Finally, the use of noninvasive methods in these clinical scenarios was pointed out as a relevant field for future research.

Consensus Statements: Session 1 - Screening and Surveillance

The introduction of transient elastography in clinical practice has allowed the early identification of patients with chronic liver disease (CLD) at risk of developing clinically significant portal hypertension (CSPH) (1b;A).

The CODE MGEX orbit and clock solution

The Center for Orbit Determination in Europe (CODE) is contributing as a global Analysis center to the International GNSS Service (IGS) since many years. The processing of GPS and GLONASS data is well established in CODE’s ultra-rapid, rapid, and final product lines. With the introduction of new signals for the established and new GNSS, new challenges and opportunities are arising for the GNSS data management and processing. The IGS started the Multi-GNSS-EXperiment (MGEX) in 2012 in order to gain first experience with the new data formats and to develop new strategies for making optimal use of these additional measurements. CODE has started to contribute to IGS MGEX with a consistent, rigorously combined triple-system orbit solution (GPS, GLONASS, and Galileo). SLR residuals for the computed Galileo satellite orbits are of the order of 10 cm. Furthermore CODE established a GPS and Galileo clock solution. A quality assessment shows that these experimental orbit and clock products allow even a Galileo-only precise point positioning (PPP) with accuracies on the decimeter- (static PPP) to meter-level (kinematic PPP) for selected stations.

Leistung oder soziale Herkunft? Bestimmungsfaktoren für erwarteten und tatsächlichen beruflichen Erfolg im jungen Erwachsenenalter

Welchen berulichen Status haben junge Erwachsene in der Schweiz zehn Jahre nach Beendigung der obligatorischen Schule im Alter von durchschnittlich 26 Jahren erreicht – und welche Faktoren beeinlussen ihn? Wie nehmen junge Erwachsene ihren Status im Vergleich zum elterlichen wahr und wie, denken sie, wird er sich in Zukunt noch verändern? Diese Forschungsfragen werden auf der Basis der TREE-Daten (Transitionen von der Erstausbildung ins Erwerbsleben) analysiert. Die Ergebnisse dieses Beitrags zeigen, dass viele 26-Jährige den elterlichen Status bereits erreicht haben, in Zukunt aber noch mit einem weiteren Statusanstieg rechnen. Askriptive Merkmale wie Geschlecht, soziale Herkunt und Migrationshintergrund sowie der auf Sekundarstufe I besuchte Schultyp haben unter sonst vergleichbaren Bedingungen über den ganzen Bildungsverlauf hinweg einen bedeutsamen Einluss auf den berulichen Status. Dies deutet einerseits auf eine vergleichsweise hohe Status-“Vererblichkeit“ zwischen den Generationen hin, andererseits auf erhebliche Verletzungen des meritokratischen Prinzips, wonach für den Bildungserfolg und die erreichte Position in der Gesellschat vor allem die individuelle Leistung massgeblich sein sollte.

The Complexity of Non-Iterated Probabilistic Justification Logic

The logic PJ is a probabilistic logic defined by adding (noniterated) probability operators to the basic justification logic J. In this paper we establish upper and lower bounds for the complexity of the derivability problem in the logic PJ. The main result of the paper is that the complexity of the derivability problem in PJ remains the same as the complexity of the derivability problem in the underlying logic J, which is π[p/2] -complete. This implies that the probability operators do not increase the complexity of the logic, although they arguably enrich the expressiveness of the language.

Geschlechtsspezifische Berufswünsche und Ausbildungsentscheidungen

Dass es geschlechtstypische Berufe gibt, und dass die Berufsaspirationen und die Wahl der Berufsausbildung nach der Pflichtschulzeit zwischen den Geschlechtern deutlich differieren, ist eine vielfach empirisch belegte Tatsache. Diese geschlechtstypische Segregation bei der Berufswahl und der zum ausgewählten Beruf führenden schulischen und beruflichen Ausbildung wird bei der Erklärung oftmals (pauschal) auf die geschlechtsspezifische Sozialisation und darin vermittelte Geschlechterstereotype zurückgeführt. Im vorliegenden Beitrag werden aus strukturell-individualistischer Sicht Mechanismen der geschlechtstypischen Berufsaspiration und Berufsbildungsentscheidung beschrieben, die theoriegeleitet empirisch aufgedeckt werden sollen. Für die Analysen werden Daten der drei Wellen des DAB-Panels verwendet, die für die Deutschschweiz Informationen von 203 Schulklassen mit rund 3.300 Schülerinnen und Schüler zur Verfügung stellen. Mittels dieser Paneldaten wird für Jugendliche der Deutschschweiz gezeigt, dass der sozioökonomische Status des Elternhauses, das damit einhergehende Motiv des intergenerationalen Statuserhalts sowie der Lebenslaufplanungen wichtige Beiträge zur Erklärung der Segregation der Berufswahl nach Geschlecht liefern. Diese mit dem Sozialstatus des Elternhauses verbundenen Mechanismen sind weitaus einflussreicher als die geschlechtsspezifische Sozialisation.

Leaving Home: Philo of Alexandria on the Exodus.

For Jewish-Hellenistic authors writing in Egypt, the Exodus story posed unique challenges. After all, to them Egypt was, as Philo of Alexandria states, their fatherland. How do these authors come to terms with the biblical story of liberation from Egyptian slavery and the longing for the promised land? In this chapter I am taking a close look at Philo’s detailed discussion of the Exodus and locate it within the larger context of Jewish-Hellenistic literature (Wisdom of Solomon, Ezekiel’s Exagoge). In Philo’s rewriting of the Exodus the destination of the journey is barely mentioned. Contrary to the biblical narrative, in the scene of the burning bush, as retold by Philo, God does not tell Moses where to go. Philo’s main concern is what happens in Egypt: both in biblical times and in his own days. The Exodus is nevertheless important to Philo: He reads the story allegorically as a journey from the land of the body to the realms of the mind. Such a symbolic reading permitted him to control the meaning of the Exodus and to stay, literally and figuratively, in Egypt.

Ausbildungsverbünde als Organisationsnetzwerke

Organisationsnetzwerke und die Analyse von Koordinationsmechanismen in inter-organisatorischen Netzwerken sind zu einem wichtigen Forschungsfeld innerhalb der Organisationsforschung und -soziologie geworden (Raab 2010, S. 575). Ein wichtiger Grund liegt in der betrieblichen Strategie der ‚flexiblen Spezialisierung‘ im Anschluss an die wirtschaftliche Krise ab den 1970er Jahren. Großbetriebe gerieten damals unter Druck, ihre bisherige auf Langfristigkeit und große Mengen ausgerichtete Massenproduktion neu zu organisieren und flexiblere Fertigungsprozesse einzurichten.