Computer-Aided Optimization of Peptide Sequences and Integrated Delivery of Selected Peptides to Targets: A Case Study on Blood Pressure of Oldest-Old Patients

2011 ◽  
pp. 328-349
Keyword(s):  
Blood Pressure ◽  
Oldest Old ◽  
Old Patients ◽  
Computer Aided ◽  
Integrated Delivery

HIPEREMESIS GRAVIDARUM PADA IBU HAMIL DI KLINIK BIDAN SUPRIYATI SRIBIT BERBAH SLEMAN

2019 ◽  
Vol 14 (1) ◽  
pp. 51
Author(s):  
Pramukti Dian Setianingrum ◽  
Farah Irmania Tsani
Keyword(s):  
Blood Pressure ◽  
Pregnant Women ◽  
Hyperemesis Gravidarum ◽  
Unwanted Pregnancy ◽  
The Body ◽  
Nausea And Vomiting ◽  
Daily Activities ◽  
World Health ◽  
The World

Backgroud: The World Health Organization (WHO) explained that the number of Hyperemesis Gravidarum cases reached 12.5% of the total number of pregnancies in the world and the results of the Demographic Survey conducted in 2007, stated that 26% of women with live births experienced complications. The results of the observations conducted at the Midwife Supriyati Clinic found that pregnant women with hyperemesis gravidarum, with a comparison of 10 pregnant women who examined their contents there were about 4 pregnant women who complained of excessive nausea and vomiting. Objective: to determine the hyperemesis Gravidarum of pregnant mother in clinic. Methods: This study used Qualitative research methods by using a case study approach (Case Study.) Result: The description of excessive nausea of vomiting in women with Hipermemsis Gravidarum is continuous nausea and vomiting more than 10 times in one day, no appetite or vomiting when fed, the body feels weak, blood pressure decreases until the body weight decreases and interferes with daily activities days The factors that influence the occurrence of Hyperemesis Gravidarum are Hormonal, Diet, Unwanted Pregnancy, and psychology, primigravida does not affect the occurrence of Hyperemesis Gravidarum. Conclusion: Mothers who experience Hyperemesis Gravidarum feel nausea vomiting continuously more than 10 times in one day, no appetite or vomiting when fed, the body feels weak, blood pressure decreases until the weight decreases and interferes with daily activities, it is because there are several factors, namely, hormonal actors, diet, unwanted pregnancy, and psychology.

Treating Cancer and No-Cancer Pain in Older and Oldest Old Patients

2015 ◽  
Vol 21 (13) ◽  
pp. 1706-1714 ◽  
Author(s):  
G. Colloca ◽  
F. Lattanzio ◽  
L. Balducci ◽  
G. Onder ◽  
G. Ronconi ◽  
...  
Keyword(s):  
Cancer Pain ◽  
Oldest Old ◽  
Old Patients

Treating Heart Failure in Older and Oldest Old Patients.

2015 ◽  
Vol 21 (13) ◽  
pp. 1659-1664 ◽  
Author(s):  
Davide Vetrano ◽  
Fabrizia Lattanzio ◽  
Anna Martone ◽  
Francesco Landi ◽  
Vincenzo Brandi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Oldest Old ◽  
Old Patients

scholarly journals Emergency department use by oldest-old patients from 2005 to 2010 in a Swiss university hospital

2013 ◽  
Vol 13 (1) ◽  
Author(s):  
Sarah Vilpert ◽  
Hélène Jaccard Ruedin ◽  
Lionel Trueb ◽  
Stéfanie Monod-Zorzi ◽  
Bertrand Yersin ◽  
...  
Keyword(s):  
Emergency Department ◽  
Oldest Old ◽  
University Hospital ◽  
Emergency Department Use ◽  
Old Patients

Blood pressure lowering in the oldest old: a step toward abandoning arbitrary blood pressure targets

2011 ◽  
Vol 29 (1) ◽  
pp. 173-175 ◽  
Author(s):  
Gianpaolo Reboldi ◽  
Giorgio Gentile ◽  
Fabio Angeli ◽  
Paolo Verdecchia
Keyword(s):  
Blood Pressure ◽  
Oldest Old ◽  
Blood Pressure Lowering ◽  
Blood Pressure Targets ◽  
Pressure Lowering

The Role of Constraints and Human Interaction in Evolving MEMS Designs: Microresonator Case Study

2004 ◽  
Author(s):  
Raffi Kamalian ◽  
Alice M. Agogino ◽  
Hideyuki Takagi
Keyword(s):  
Genetic Algorithms ◽  
Geometric Constraints ◽  
Human Interaction ◽  
Design System ◽  
Current State ◽  
Mems Resonator ◽  
Computer Aided ◽  
Generative Methods

In this paper we review the current state of automated MEMS synthesis with a focus on generative methods. We use the design of a MEMS resonator as a case study and explore the role that geometric constraints and human interaction play in a computer-aided MEMS design system based on genetic algorithms.

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