Risk-based model for availability estimation of SAF redundancy models

Availability Analysis of Redundancy Models for Network System with Non-Stop Forwarding

The Journal of the Korean Institute of Information and Communication Engineering ◽

10.6109/jkiice.2015.19.12.2828 ◽

2015 ◽

Vol 19 (12) ◽

pp. 2828-2835 ◽

Cited By ~ 1

Author(s):

Jaechan Shim ◽

Hongrim Ryu ◽

Hoyong Ryu ◽

Jaehyung Park ◽

Yutae Lee

Keyword(s):

Network System ◽

Availability Analysis ◽

Redundancy Models

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Gender and Its Role in the Resilience of Local Medical Systems of the Fulni-ô People in NE Brazil: Effects on Structure and Functionality

Evidence-based Complementary and Alternative Medicine ◽

10.1155/2019/8313790 ◽

2019 ◽

Vol 2019 ◽

pp. 1-15

Author(s):

Wendy Torres-Avilez ◽

André Luiz Borba do Nascimento ◽

Flavia Rosa Santoro ◽

Patricia Muniz de Medeiros ◽

Ulysses Paulino Albuquerque

Keyword(s):

Medical Knowledge ◽

Therapeutic Targets ◽

Married Couples ◽

Structure And Function ◽

Knowledge Transmission ◽

Medical Systems ◽

Men And Women ◽

And Function ◽

Redundancy Models ◽

Flow Of Information

Ethnobotanical studies focused on understanding how local medical systems are functionally maintained suggest that utilitarian redundancy and knowledge transmission are factors that influence the resilience of the system. However, to date, there have not been any studies that analyze these factors in relation to the variables that influence the variation of knowledge. Given the above, this study aims to analyze the influence of gender in the resilience of the system, using utilitarian redundancy and knowledge transmission as factors. Information from 198 married couples (396 people) was collected from the indigenous community of Fulni-ô (NE Brazil). Knowledge between men and women was analyzed based on the total number of known plants, therapeutic targets, information units, utilitarian redundancy, models of transmission, and sharing for each gender. Fulni-ô men know a greater number of plants, therapeutic targets treated with plants, and information units than women. They also had greater utilitarian redundancy. However, regarding knowledge transmission, sharing among women was greater, transmission is related to gender, and there is no difference between the numbers of models of knowledge information. In the system of local medical knowledge, gender exerts an important role in the resilience of the system. This study shows that men have a greater contribution to the structure and function of the system; however, both genders contribute to the flow of information in the system, which makes both genders important in the feedback of information.

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Comparing redundancy models for high availability middleware

Computing ◽

10.1007/s00607-013-0361-x ◽

2013 ◽

Vol 96 (10) ◽

pp. 975-993 ◽

Cited By ~ 6

Author(s):

Ali Kanso ◽

Maria Toeroe ◽

Ferhat Khendek

Keyword(s):

High Availability ◽

Redundancy Models

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General models of ecological diversification. II. Simulations and empirical applications

Paleobiology ◽

10.1017/pab.2016.4 ◽

2016 ◽

Vol 42 (2) ◽

pp. 209-239 ◽

Cited By ~ 4

Author(s):

Philip M. Novack-Gottshall

Keyword(s):

Classification Tree ◽

Functional Trait ◽

Functional Ecology ◽

Data Sets ◽

Ecological Diversification ◽

Weighting Potential ◽

General Dynamics ◽

Life Habits ◽

Redundancy Models ◽

Best Fit

AbstractModels of functional ecospace diversification within life-habit frameworks (functional-trait spaces) are increasingly used across community ecology, functional ecology, and paleoecology. In general, these models can be represented by four basic processes, three that have driven causes and one that occurs through a passive process. The driven models include redundancy (caused by forms of functional canalization), partitioning (specialization), and expansion (divergent novelty), but they also share important dynamical similarities with the passive neutral model. In this second of two companion articles, Monte Carlo simulations of these models are used to illustrate their basic statistical dynamics across a range of data structures and implementations. Ecospace frameworks with greater numbers of characters (functional traits) and ordered (multistate) character types provide more distinct dynamics and greater ability to distinguish the models, but the general dynamics tend to be congruent across all implementations. Classification-tree methods are proposed as a powerful means to select among multiple candidate models when using multivariate data sets. Well-preserved Late Ordovician (type Cincinnatian) samples from the Kope and Waynesville formations are used to illustrate how these models can be inferred in empirical applications. Initial simulations overestimate the ecological disparity of actual assemblages, confirming that actual life habits are highly constrained. Modifications incorporating more realistic assumptions (such as weighting potential life habits according to actual frequencies and adding a parameter controlling the strength of each model’s rules) provide better correspondence to actual assemblages. Samples from both formations are best fit by partitioning (and to lesser extent redundancy) models, consistent with a role for local processes. When aggregated as an entire formation, the Kope Formation pool remains best fit by the partitioning model, whereas the entire Waynesville pool is better fit by the redundancy model, implying greater beta diversity within this unit. The ‘ecospace’ package is provided to implement the simulations and to calculate their dynamics using the R statistical language.

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