scholarly journals DIURESIS AND BASIC PROCESSES OF URINE FORMATION AT ONE-TIME AND COURSE EXPERIMENTAL RECEPTION OF HYDROCARBONATE CARBON-CHLORIDE-RECEPTION MINERAL WATER

2020 ◽  
pp. 25-25
Author(s):  
I.G. Dzhioev ◽  
E.A. Gutsaeva ◽  
O.V. Remizov ◽  
E.A. Khestanova ◽  
M.G. Chertkoeva
Keyword(s):  
Mineral Water ◽  
Urine Formation

Physical Properties of Isolated Perfused Renal Tubular Basement Membranes

1971 ◽  
Vol 29 ◽  
pp. 390-391
Author(s):  
Jared Grantham ◽  
Larry Welling
Keyword(s):  
Basement Membrane ◽  
Basement Membranes ◽  
Transport Mechanisms ◽  
Permeability Characteristics ◽  
Peritubular Capillaries ◽  
Strategic Location ◽  
Tubular Lumen ◽  
Glomerular Filtrate ◽  
Urine Formation ◽  
Renal Tubular

In the course of urine formation in mammalian kidneys over 90% of the glomerular filtrate moves from the tubular lumen into the peritubular capillaries by both active and passive transport mechanisms. In all of the morphologically distinct segments of the renal tubule, e.g. proximal tubule, loop of Henle and distal nephron, the tubular absorbate passes through a basement membrane which rests against the basilar surface of the epithelial cells. The basement membrane is in a strategic location to affect the geometry of the tubules and to influence the movement of tubular absorbate into the renal interstitium. In the present studies we have determined directly some of the mechanical and permeability characteristics of tubular basement membranes.

Mineral water contamination claim

Nature ◽  
2002 ◽  
Author(s):  
Natasha McDowell
Keyword(s):  
Water Contamination ◽  
Mineral Water

Validation Study on Developed Methods for Total Organic Carbon in Some Kinds of Mineral Water

2020 ◽  
Vol 61 (5) ◽  
pp. 206-209
Author(s):  
Hiroshi Sakuragi ◽  
Masako Suzuki ◽  
Hiroyuki Ohno
Keyword(s):  
Organic Carbon ◽  
Total Organic Carbon ◽  
Validation Study ◽  
Mineral Water

The circadian rhythm of urine formation in incontinent women

GYNECOLOGY ◽  
2015 ◽  
pp. 74-76
Author(s):  
N.A. Osipova ◽  
◽  
D.A. Niaury ◽  
G.M. Ziyatdinova ◽  
◽  
...  
Keyword(s):  
Circadian Rhythm ◽  
Urine Formation

Study on Water Quality Characteristics of Mineral Water in Tea Literatures

2017 ◽  
Vol 23 (2) ◽  
pp. 31-39
Author(s):  
Pyong-In Yi ◽  
Jung-hwan Kwon ◽  
So-hui Ko ◽  
Sung-chul Hong ◽  
Yong-jae Lee ◽  
...  
Keyword(s):  
Water Quality ◽  
Mineral Water ◽  
Quality Characteristics

On the determination of the ingestion dose in drinking and mineral water

Kerntechnik ◽  
2008 ◽  
Vol 73 (3) ◽  
pp. 122-126 ◽  
Author(s):  
K. Flesch ◽  
R. Gellermann ◽  
J. Gerler ◽  
R. Knappik ◽  
M. Köhler ◽  
...  
Keyword(s):  
Mineral Water ◽  
Ingestion Dose

Natural radionuclides in mineral water in Germany

Kerntechnik ◽  
2004 ◽  
Vol 69 (5-6) ◽  
pp. 223-226 ◽  
Author(s):  
D. Obrikat ◽  
M. Beyermann ◽  
Th. Bünger ◽  
H. Viertel
Keyword(s):  
Mineral Water ◽  
Natural Radionuclides

Hydroponic Nutrient Control System Based on Internet of Things

2019 ◽  
Vol 13 (2) ◽  
Author(s):  
Herman Herman ◽  
Demi Adidrana ◽  
Nico Surantha ◽  
Suharjito Suharjito
Keyword(s):  
Urban Areas ◽  
Human Population ◽  
Mineral Water ◽  
Nearest Neighbor ◽  
Total Dissolved Solids ◽  
K Nearest Neighbor ◽  
Turn On ◽  
Nutrient Film Technique ◽  
Planting Method

The human population significantly increases in crowded urban areas. It causes a reduction of available farming land. Therefore, a landless planting method is needed to supply the food for society. Hydroponics is one of the solutions for gardening methods without using soil. It uses nutrient-enriched mineral water as a nutrition solution for plant growth. Traditionally, hydroponic farming is conducted manually by monitoring the nutrition such as acidity or basicity (pH), the value of Total Dissolved Solids (TDS), Electrical Conductivity (EC), and nutrient temperature. In this research, the researchers propose a system that measures pH, TDS, and nutrient temperature values in the Nutrient Film Technique (NFT) technique using a couple of sensors. The researchers use lettuce as an object of experiment and apply the k-Nearest Neighbor (k-NN) algorithm to predict the classification of nutrient conditions. The result of prediction is used to provide a command to the microcontroller to turn on or off the nutrition controller actuators simultaneously at a time. The experiment result shows that the proposed k-NN algorithm achieves 93.3% accuracy when it is k = 5.

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