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Personal dialysis capacity (PDC(TM)) test : a multicentre clinical study

BACKGROUND: The assessment of the peritoneal membrane capacity and physiology of the individual patient is becoming increasingly important. It allows the prescription of an individualized peritoneal dialysis (PD)-regimen, and the monitoring of peritoneal membrane function over time. The PDC(TM) program offers the possibility to evaluate the peritoneal membrane characteristics and to predict solute

Prostate-specific antigen in serum occurs predominantly in complex with alpha 1-antichymotrypsin

Immunologic measurements of the serum concentration of prostate-specific antigen (PSA), an abundant prostatic-secreted serine proteinase, are frequently used to monitor patients with prostate cancer, though it has not been ascertained whether this immunoreactivity represents a PSA zymogen, the active proteinase, or PSA complexed to extracellular proteinase inhibitors. To characterize the PSA immun

Sociolinguistic, comparative and historical perspectives on Scandinavian gender: With focus on Jamtlandic

The present thesis investigates gender assignment in Jamtlandic from a sociolinguistic and historical/comparative perspective. Jamtlandic is a language variety spoken in northwestern Sweden in the province of Jämtland. It maintains a three-gender system, in contrast to Standard Swedish, which has a two-gender system. Study 1 of the thesis looks at Jamtlandic gender assignment from a sociolinguisti

Gastrointestinal stromal tumor - A review of clinical studies

Gastrointestinal stromal tumor (GIST) is the most common mesenchymal tumor of the gastrointestinal tract. With the advent of Imatinib, the treatment of gastrointestinal stromal tumor has been revolutionized as both the progression-free and overall survival rates have increased dramatically. Unfortunately, gastrointestinal stromal tumor patients on Imatinib do eventually fail due to resistance. Eve

Event generators for heavy-ion physics, recent developments

A short review is presented for the most commonly used general purpose event generators for heavy ion physics, HIJING, AMPT, and EPOS. A new model, called Angantyr, is presented. It is (similar to HIJING) an extrapolation of pp dynamics to collisions with nuclei. Diffractive excitation of individual nucleons has significant effects in nucleus collisions, and here Angantyr is the first model which

Enzymatic activity of prostate-specific antigen and its reactions with extracellular serine proteinase inhibitors

Prostate-specific antigen (PSA) is one of the three most abundant prostatic-secreted proteins in human semen. It is a serine proteinase that, in its primary structure, manifests extensive similarities with that of the Arg-restricted glandular kallikrein-like proteinases. When isolated from semen by the addition of chromatography on aprotinin-Sepharose to a previously described procedure, PSA displ

A Sustainable Crowdsourced Delivery System to Foster Free-Floating Bike-Sharing

Since bicycles and bike-sharing systems are becoming increasingly important in modern transportation contexts, we suggest in this paper an alternative method to incorporate cycling among the freight transport alternatives within urban areas. We propose pursuing a sustainable initiative of crowdsourced delivery where some of the urban good deliveries may be voluntarily undertaken by users of the fr

Particle production and decays in an object oriented formulation

The use of Object Oriented Programming languages and techniques for the development of Monte Carlo simulators for particle production and decay is discussed. For illustration, two specific "template" programs are presented written in Objective-C and in C++, respectively

Finding Gluon Jets With a Neural Trigger

Using a neural-network classifier we are able to separate gluon from quark jets originating from Monte Carlo–generated e+e− events with 85%–90% accuracy.

Predicting System loads with Artificial Neural Networks : Method and Result from "the Great Energy Predictor Shootout"

We devise a feed-forward Artificial Neural Network (ANN) procedure for predicting utility loads and present the resulting predictions for two test problems given by ``The Great Energy Predictor Shootout - The First Building Data Analysis and Prediction Competition''. Key ingredients in our approach are a method ($\delta$ -test) for determiningrelevant inputs and the Multilayer Perceptron. These me