Oysters, and all about them : being a complete history of the titular subject, exhaustive on all points of necessary and curious information from the earliest writers to those of the present time, with numerous additions, facts, and notes /

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Free Medical Information Doctor = Publisher

Today, doctors can be publishers – computer technology and the internet make it possible, and book projects are tempting in terms of money. A doctor who publishes his own textbooks can earn many times what he would be paid in royalties by a publishing house. More important than this, however, is the fact that a doctor who writes and publishes wants his texts to be read by as many colleagues, students and patients as possible. The best way to achieve this is through free parallel publication of these texts on the internet

Ultrasound Blocks for the Anterior Abdominal Wall - Adult and Pediatric Surgery

Somatic post-surgical pain is invalidating and distressing to patients and carries the risk of important complications. The anterior abdominal wall is involved in most surgical procedures in general, gynecologic, obstetric, urological, vascular and pediatric surgery. Combined multimodal strategies involving nerve blocks, opiates, and non-steroidal anti-inflammatory drugs for systemic analgesia are necessary for optimal pain modulation. Anterior abdominal wall blocks, transverse abdominal plexus block, iliohypogastric and ilioinguinal nerveblock, genitofemoral nerve block and rectus sheath block have an important role as components of multimodal analgesia for somatic intraoperative and postoperative pain control. Ultrasound visualization has improved the efficacy and safety of abdominal blocks and implemented the application in the clinical setting. For this reason, they are a very important tool for all anesthesiologists who aim to treat effectively patients’ pain. This guide provides an evidence based comprehensive and necessary overview of anatomical, anesthesiological and technical information needed to safely perform these blocks.

Enhancing text classification to improve information filtering

Text classification, information filtering, semi-supervised learning, quality control

Intravital visualization of hematopoietic stem cell and neutrophil behavior in long bones of mice

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2011

Meaning refinement to improve cross-lingual information retrieval

Magdeburg, Univ., Fak. für Informatik, Diss., 2012

Approximations of the Fisher information for the construction of efficient experimental designs in nonlinear mixed effects models

Magdeburg, Univ., Fak. für Mathematik, Diss., 2012

Reflective and adaptive middleware for software evolution of information systems

Magdeburg, Univ., Fak. für Informatik, Diss., 2007

Selection of information in auditory virtual reality

ERP, auditory virtual reality, dichotic listening, selective auditory attention, cocktail-party phenomenon, HRTF

Asymmetrische Information zwischen Krankenhaus und Krankenkasse : eine Analyse anhand der Verweildauerstruktur im neuen Fallpauschalensystem

Magdeburg, Univ., Fak. für Wirtschaftswiss., Diss., 2009

influence of different forms of outcome information on the neural substrates of the acquisition and representation of categories

Magdeburg, Univ., Fak. für Naturwiss., Diss., 2012

Issues of information support for the process of scientific enterprise's management in the universities and research organizations

This article describes the problem of commercializing of scientific researches in universities. Management tasks are reduced to subtasks and combined formal algorithm. The overall control problem is reduced to a set of formal subtasks combined into a single algorithm. Here the necessity of joint control of all commercialization projects as well as the use of information systems for the successful implementation of the existing commercialpotential is shown.

Discovery and visualization of interesting patterns

Die Preise für Speicherplatz fallen stetig, da verwundert es nicht, dass Unternehmen riesige Datenmengen anhäufen und sammeln. Diese immensen Datenmengen müssen jedoch mit geeigneten Methoden analysiert werden, um für das Unternehmen überlebensnotwendige Muster zu identifizieren. Solche Muster können Probleme aber auch Chancen darstellen. In jedem Fall ist es von größter Bedeutung, rechtzeitig diese Muster zu entdecken, um zeitnah reagieren zu können. Um breite Nutzerschichten anzusprechen, müssen Analysemethoden ferner einfach zu bedienen sein, sofort Rückmeldungen liefern und intuitive Visualisierungen anbieten. Ich schlage in der vorliegenden Arbeit Methoden zur Visualisierung und Filterung von Assoziationsregeln basierend auf ihren zeitlichen Änderungen vor. Ich werde lingustische Terme (die durch Fuzzymengen modelliert werden) verwenden, um die Historien von Regelbewertungsmaßen zu charakterisieren und so eine Ordnung von relevanten Regeln zu generieren. Weiterhin werde ich die vorgeschlagenen Methoden auf weitereModellarten übertragen, die Software-Plattformvorstellen, die die Analysemethoden dem Nutzer zugänglich macht und schließlich empirische Auswertungen auf Echtdaten aus Unternehmenskooperationen vorstellen, die die Wirksamkeit meiner Vorschläge belegen.

Lagrangian methods for visualization and analysis of time-dependent vector fields

Magdeburg, Univ., Fak. für Informatik, Diss., 2013

Illustrative visualization of medical data sets

Magdeburg, Univ., Fak. für Informatik, Diss., 2014