TY  - JOUR
A1  - Langer, Henning
A1  - Carlsohn, Anja
T1  - Effects of different dietary proteins and amino acids on skeletal muscle hypertrophy in young adults after resistance exercise: A systematic review
JF  - Strength and conditioning journal
N2  - THIS ARTICLE REVIEWS THE AVAILABLE LITERATURE ON WHICH PROTEINS, AMINO ACIDS, OR COMBINATION OF BOTH SEEM TO BE OPTIMAL TO ENHANCE HYPERTROPHY AFTER RESISTANCE EXERCISE IN YOUNG ADULTS. DEPENDING ON THE CONTENT OF ESSENTIAL AMINO ACIDS AND PARTICULARLY LEUCINE, EITHER AN IMMEDIATE INGESTION OF similar to 20 G MILK PROTEIN FOLLOWED BY A SIMILAR AMOUNT similar to 1 HOUR LATER, OR A SINGLE BOLUS OF similar to 40 G SEEMS TO BE SUITABLE. GREATER AMOUNTS MIGHT BE NECESSARY IF A PROTEIN OF LOWER QUALITY IS CHOSEN ( I. E., PLANT-BASED PROTEINS) TO MATCH THE REQUIRED AMINO ACID QUANTITIES AND FACILITATE MUSCLE GROWTH.
Y1  - 2014
SN  - 1524-1602
SN  - 1533-4295
VL  - 36
IS  - 3
SP  - 33
EP  - 42
PB  - Lippincott Williams & Wilkins
CY  - Philadelphia
ER  - 
TY  - JOUR
A1  - Kossert, Thomas
A1  - Zirr, Alexander
A1  - Richter, Wenke
A1  - Schönauer, Tobias
A1  - Langer, Herbert
A1  - Häcker, Susanne
A1  - Füssel, Marian
A1  - Asche, Matthias
A1  - Bröchler, Anja
A1  - Oldach, Robert
A1  - Kloosterhuis, Jürgen
A1  - Pröve, Ralf
A1  - Ludwig, Ulrike
A1  - Rischke, Janine
A1  - Theilig, Stephan
ED  - Kossert, Thomas
T1  - Militär und Gesellschaft in der Frühen Neuzeit = Themenheft: Universitäten im Dreißigjährigen Krieg
N2  - Die Geschichte der deutschen Universitäten in der Zeit des Dreißigjährigen Krieges gehört traditionell nicht zu den bevorzugten Themen der historischen Forschung – weder der universitäts-, noch der militärgeschichtlichen. Dieses ausgesprochene Desiderat hat spezifisch historiographiegeschichtliche Gründe und ist noch heute für viele Verzerrungen und Einseitigkeiten bei der Darstellung dieser für das deutsche Universitätswesen durchaus zäsurhaften Epoche verantwortlich. Die in diesem Heft präsentierten exemplarischen Studien gehen auf Vorträge eines Workshops des Arbeitskreises Militär und Gesellschaft in der Frühen Neuzeit auf Schloss Friedenstein in Gotha im Mai 2010 zurück und verstehen sich als eine erste Annäherung an ein noch weithin offenes, aber keineswegs ausgeschöpftes Forschungsfeld.
T3  - Militär und Gesellschaft in der frühen Neuzeit - 15, Heft 1 
Y1  - 2011
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-53892
SN  - 978-3-86956-152-3
SN  - 1617-9722
SN  - 1861-910X
VL  - 15
IS  - 1
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  - 
TY  - JOUR
A1  - Gonschorek, Julia
A1  - Langer, Anja
A1  - Bernhardt, Benjamin
A1  - Raebiger, Caroline
T1  - Big Data in the Field of Civil Security Research: Approaches for the Visual Preprocessing of Fire Brigade Operations
JF  - Science
N2  - This article gives insight in a running dissertation at the University in Potsdam. Point of discussion is the spatial and temporal distribution of emergencies of German fire brigades that have not sufficiently been scientifically examined. The challenge is seen in Big Data: enormous amounts of data that exist now (or can be collected in the future) and whose variables are linked to one another. These analyses and visualizations can form a basis for strategic, operational and tactical planning, as well as prevention measures. The user-centered (geo-) visualization of fire brigade data accessible to the general public is a scientific contribution to the research topic 'geovisual analytics and geographical profiling'. It may supplement antiquated methods such as the so-called pinmaps as well as the areas of engagement that are freehand constructions in GIS. Considering police work, there are already numerous scientific projects, publications, and software solutions designed to meet the specific requirements of Crime Analysis and Crime Mapping. By adapting and extending these methods and techniques, civil security research can be tailored to the needs of fire departments. In this paper, a selection of appropriate visualization methods will be presented and discussed.
KW  - Big Data
KW  - Civil Security
KW  - Explorative (Data-) Analysis
KW  - Geovisual Analytics
KW  - Visualization
Y1  - 2016
U6  - https://doi.org/10.4018/IJAEIS.2016010104
SN  - 1947-3192
SN  - 1947-3206
VL  - 7
SP  - 54
EP  - 64
PB  - IGI Global
CY  - Hershey
ER  -