A Study on the Police Organization Diagnosis According to the Adjustment of Investigation Rights: Focused on the Police Rank System

2020 ◽  
Vol 22 (3) ◽  
pp. 139-176
Author(s):  
Jung Ki Lee ◽  
jong ku kim
Keyword(s):  
Police Organization ◽  
Rank System

Physiology and pathophysiology of the RANKL/RANK system

2010 ◽  
Vol 391 (12) ◽  
Author(s):  
Reiko Hanada ◽  
Toshikatsu Hanada ◽  
Josef M. Penninger
Keyword(s):  
Body Temperature ◽  
Mammary Gland Development ◽  
Basal Body Temperature ◽  
Central Nervous Systems ◽  
Rank System ◽  
Functional Relevance ◽  
Rank Signaling ◽  
Gland Development ◽  
The Brain ◽  
Node Formation

Abstract The TNF family molecule RANKL and its receptor RANK are key regulators of bone remodeling, lymph node formation, and mammary gland development during pregnancy. RANKL and RANK are also expressed in the central nervous systems (CNS). However, the functional relevance of RANKL/RANK in the brain was entirely unknown. Recently, our group reported that the RANKL/RANK signaling pathway has an essential role in the central regulation of body temperature via the prostaglandin axis. This review discusses novel aspects of the RANKL/RANK system as key regulators of fever and female basal body temperature in the CNS.

The Role of the Osteoprotegerin/RANKL/RANK System in Diabetic Vascular Disease

2011 ◽  
Vol 18 (31) ◽  
pp. 4813-4819 ◽  
Author(s):  
P. Grigoropoulou ◽  
I. Eleftheriadou ◽  
C. Zoupas ◽  
N. Tentolouris
Keyword(s):  
Vascular Disease ◽  
Diabetic Vascular Disease ◽  
Rank System

Einflussfaktoren in Routenzugsystemen*/Factors influencing internal milkrun systems - A method for calculating the intensity of influence of dimensioning parameters

2015 ◽  
Vol 105 (01-02) ◽  
pp. 65-71
Author(s):  
A. Martini ◽  
A. Rohe ◽  
U. Stache ◽  
F. Trenker
Keyword(s):  
Calculation Method ◽  
Influence Factors ◽  
Factors Influencing ◽  
Rank System ◽  
Factors Of Influence ◽  
Design Options ◽  
Specific Influence

Die Komplexität bei der Planung und Optimierung von Routenzugsystemen ist auf die Vielzahl der unterschiedlichen Gestaltungsmöglichkeiten und auf Interdependenzen zwischen den Einflussfaktoren zurückzuführen. Die im Fachartikel vorgestellte Verfahrensweise zur Einflussstärkenberechnung verschiedener Dimensionierungsparameter dient der Rangfolgebildung systemspezifischer Einflussfaktoren. Durch quantitativ-explorative Untersuchungen werden zudem Hypothesen für weitere Arbeiten gewonnen.   The complexity of planning and optimizing internal milkrun systems is a consequence of the multitude of different design options and interdependencies between the factors of influence. The calculation method for measuring the influence of different dimensioning parameters presented in this article serves to rank system-specific influence factors. Hypotheses for further research are obtained via quantitative-exploratory studies.

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