scholarly journals A Systems Approach to Pest Control Research

1971 ◽  
Vol 3 (1) ◽  
pp. 143-147 ◽  
Author(s):  
Robert P. Jenkins
Keyword(s):  
Pest Control ◽  
Systems Analysis ◽  
Systems Approach ◽  
Human Welfare ◽  
Farm Organization ◽  
Control Research

Systems analysis would be a useful tool for certain kinds of pesticide research, particularly that involving decisions affecting the environment or the ecosystem. A well-designed systems analysis would permit researchers and policymakers to learn more about the complete effects of their decisions relating to pesticides. It is doubtful whether any one person or group of persons can mentally formulate all the complex effects of a pesticide on the environment, on optimum farm organization and practices, on human welfare, and on the myriad of other interrelated factors.

scholarly journals A Systems Analysis of Small-Holder Agriculture. A Systems Approach to Mechanisation

1977 ◽  
Vol 10 (14) ◽  
pp. 545-557
Author(s):  
G. Muchiri ◽  
M.M. Shah ◽  
J.B. Holtman
Keyword(s):  
Systems Analysis ◽  
Systems Approach ◽  
Small Holder

A Dynamic Dyadic Systems Approach to Interpersonal Communication

2021 ◽  
Author(s):  
Denise Haunani Solomon ◽  
Miriam Brinberg ◽  
Graham D Bodie ◽  
Susanne Jones ◽  
Nilam Ram
Keyword(s):  
Interpersonal Communication ◽  
Systems Analysis ◽  
Time Series Data ◽  
Systems Approach ◽  
Dynamic Structure ◽  
Relevant Information ◽  
Dyadic Interaction ◽  
Series Data ◽  
Conversational Units ◽  
Dyadic Systems

Abstract This article articulates conceptual and methodological strategies for studying the dynamic structure of dyadic interaction revealed by the turn-to-turn exchange of messages between partners. Using dyadic time series data that capture partners’ back-and-forth contributions to conversations, dynamic dyadic systems analysis illuminates how individuals act and react to each other as they jointly construct conversations. Five layers of inquiry are offered, each of which yields theoretically relevant information: (a) identifying the individual moves and dyadic spaces that set the stage for dyadic interaction; (b) summarizing conversational units and sequences; (c) examining between-dyad differences in overall conversational structure; (d) describing the temporal evolution of conversational units and sequences; and (e) mapping within-dyad dynamics of conversations and between-dyad differences in those dynamics. Each layer of analysis is illustrated using examples from research on supportive conversations, and the application of dynamic dyadic systems analysis to a range of interpersonal communication phenomena is discussed.

Systems Analysis of Process Control Capabilities for Forging Accuracy

2017 ◽  
Vol 265 ◽  
pp. 1110-1115 ◽  
Author(s):  
V.G. Shibakov ◽  
D.L. Pankratov ◽  
R. Khairullin
Keyword(s):  
Process Control ◽  
Process Parameters ◽  
Systems Analysis ◽  
Simulation Modeling ◽  
Systems Approach ◽  
Dimensional Accuracy ◽  
Significant Process ◽  
Expert Analysis ◽  
Forging Force

The significance matrix for the parameters of “material-billet-equipment-process-tool-personnel-environment” system was compiled using the systems approach to the assurance of forging dimensional accuracy, and the expert analysis revealed the most significant process parameters that affect the accuracy. The application of simulation modeling helped to establish the dependence of forging force on the dimensions of an incoming billet. The paper suggests a solution to increase the accuracy of the sized forgings.

scholarly journals DYNAMICAL SYSTEMS ANALYSIS OF A MODEL DESCRIBING TASMANIAN DEVIL FACIAL TUMOUR DISEASE

2012 ◽  
Vol 54 (1-2) ◽  
pp. 89-107 ◽  
Author(s):  
N. J. BEETON ◽  
L. K. FORBES
Keyword(s):  
Dynamical Systems ◽  
Systems Analysis ◽  
Small Amplitude ◽  
Systems Approach ◽  
Steady States ◽  
Tasmanian Devil ◽  
Bifurcation Parameter ◽  
Disease Dynamics ◽  
Dynamical Systems Analysis ◽  
Devil Facial Tumour Disease

AbstractA susceptible–exposed–infectious theoretical model describing Tasmanian devil population and disease dynamics is presented and mathematically analysed using a dynamical systems approach to determine its behaviour under a range of scenarios. The steady states of the system are calculated and their stability analysed. Closed forms for the bifurcation points between these steady states are found using the rate of removal of infected individuals as a bifurcation parameter. A small-amplitude Hopf region, in which the populations oscillate in time, is shown to be present and subjected to numerical analysis. The model is then studied in detail in relation to an unfolding parameter which describes the disease latent period. The model’s behaviour is found to be biologically reasonable for Tasmanian devils and potentially applicable to other species.

Pest control: Operations and systems analysis in fruit fly management

1988 ◽  
Vol 24 (4) ◽  
pp. 462-465
Author(s):  
Frank E. Gilstrap ◽  
Nicholas D. Stone
Keyword(s):  
Pest Control ◽  
Systems Analysis ◽  
Fruit Fly
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