Rank Order in a Captive Female Squirrel Monkey Colony

1971 ◽  
Vol 14 (3-4) ◽  
pp. 182-189 ◽  
Author(s):  
R. Castell ◽  
Barbara Heinrich
Keyword(s):  
Squirrel Monkey ◽  
Rank Order ◽  
Monkey Colony

Population modeling for a captive squirrel monkey colony

2005 ◽  
Vol 65 (3) ◽  
pp. 239-254 ◽  
Author(s):  
Can C. Akkoç ◽  
Lawrence E. Williams
Keyword(s):  
Squirrel Monkey ◽  
Population Modeling ◽  
Monkey Colony

Squirrel monkey heart rate during formation of status orders.

1970 ◽  
Vol 70 (3, Pt.1) ◽  
pp. 417-423 ◽  
Author(s):  
Douglas K. Candland ◽  
Dana C. Bryan ◽  
Barry L. Nazar ◽  
Kenneth J. Kopf ◽  
Mark Sendor
Keyword(s):  
Heart Rate ◽  
Squirrel Monkey

A Rank Order Analysis of the Symptoms of Alcoholism

1958 ◽  
Vol 19 (4) ◽  
pp. 636-648 ◽  
Author(s):  
Harrison M. Trice ◽  
J. Richard Wahl
Keyword(s):  
Rank Order ◽  
Order Analysis

Enhancing the Performance of One Dimensional Median Filter

2019 ◽  
Vol 118 (7) ◽  
pp. 73-76
Author(s):  
Sharanabasappa ◽  
P Ravibabu
Keyword(s):  
Impulse Noise ◽  
Rank Order ◽  
Median Filter ◽  
Filter Method ◽  
Salt And Pepper Noise ◽  
Edge Preservation ◽  
Word Level ◽  
Look Ahead ◽  
Filter Architecture ◽  
Salt And Pepper

Nowadays, during the process of Image acquisition and transmission, image information data can be corrupted by impulse noise. That noise is classified as salt and pepper noise and random impulse noise depending on the noise values. A median filter is widely used digital nonlinear filter  in edge preservation, removing of impulse noise and smoothing of signals. Median filter is the widely used to remove salt and pepper noise than rank order filter, morphological filter, and unsharp masking filter. The median filter replaces a sample with the middle value among all the samples present inside the sample window. A median filter will be of two types depending on the number of samples processed at the same cycle i.e, bit level architecture and word level architecture.. In this paper, Carry Look-ahead Adder median filter method will be introduced to improve the hardware resources used in median filter architecture for 5 window and 9 window for 8 bit and 16 bit median filter architecture.

PEMILIHAN KEPLING TELADAN MENERAPKAN METODE RANK ORDER CENTROID (ROC) DAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) DI KECAMATAN MEDAN AREA

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Liza Handayani ◽  
Muhammad Syahrizal ◽  
Kennedi Tampubolon
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Rank Order ◽  
Priority Level ◽  
The Village ◽  
Field Area ◽  
Selection Of

The head of the environment is an extension of the head of the village head in assisting or providing services to the community both in the administration of administration in the village and to other problems. It is natural for a kepling to be appreciated for their performance during their special tenure in the kecamatan field area. Previously, the selection of a dipling in a sub-district was very inefficient and seemed unfair for this exemplary selection to use a system to produce an accurate value, and no intentional element. To overcome the process of selecting an exemplary kepling that experiences these obstacles by using an application called a Decision Support System. Decision Support System (SPK) is a system that can solve a problem, and this system is also assisted with several methods, namely the Rank Order Centroid (ROC) method that can assign weight values to each of the criteria based on their priority level. And to do the ranking or determine an exemplary set using the Additive Ratio Assessment (ARAS) method, this method provides decision making that takes decisions based on ranking or the highest value.Keywords: Head of Medan Area Subdistrict, SPK, Centroid Rank Order, Additive Ratio Assessment (ARAS).

Ethnopharmacological Survey of Medicinal Plants Used in Traditional Treatment of Kidney Diseases in Fez–Meknes Region, Morocco

2019 ◽  
Vol 18 (2) ◽  
pp. 99-114
Author(s):  
M. Chebaibi ◽  
D. Bousta ◽  
I. Iken ◽  
H. Hoummani ◽  
A. Ech-Choayeby ◽  
...  
Keyword(s):  
Kidney Disease ◽  
Medicinal Plants ◽  
Kidney Diseases ◽  
Rank Order ◽  
Pearson Correlation ◽  
Use Value ◽  
Traditional Treatment ◽  
Toxic Plants ◽  
A Value ◽  
Chi Squared

The purpose of this study was to inventory and collect information on plants and mixtures commonly used by herbalists to treat kidney disease in the Fez–Meknes region. We also aimed to compare the results obtained with the results of the other studies and exploit the correlations between different factors. An ethnopharmacological survey was conducted from 289 local herbalists in eight different areas of Fez–Meknes region. Ethnomedicinal uses and ethnobotanical indices were analyzed using quantitative tools, i.e., the total number of citation (TNC), use value (UV), family use value (FUV), fidelity level (FL), and rank order priority (ROP). Statistical analyses such as Pearson correlation and chi-squared test were performed to delineate any correlation. Two hundred and eighty-nine herbalists were questioned. Sixty-nine plant species belonging to 38 families were cited by herbalists for traditional treatment of kidney disease. The highest value of UV was obtained for Herniaria glabra L. (UV = 0.79), and Caryophyllaceae was the family frequently cited (FUV = 0.795). Ammodaucus leucotrichus Coss. & Dur. had the highest value of FL with a value of 100%, and the highest value of ROP was recorded for Herniaria glabra L. (ROP = 91%). Sociodemographic characteristics had a significant impact on the knowledge of toxic plants. Our study has revealed a cultural heritage linked to herbalism and a great wealth of medicinal plants, whose valorization and protection are necessary. Several studies are needed to sensitize herbalists and population on the danger of toxic plants, to extract chemical compounds from the main plants used, and to evaluate their toxicity.

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