Applied Stochastic Models and Control Management, C. S. Tapiero, North Holland, Amsterdam, 1988. ISBN 0-444-70362-4. No. of pages: xiv + 326. Price: $105.25

To incorporate biologically observed epidemics into multistage models of carcinogenesis, in this paper we have developed new stochastic models for human cancers. We have further incorporated genetic segregation of cancer genes into these models to derive generalized mixture models for cancer incidence. Based on these models we have developed a generalized Bayesian approach to estimate the parameters and to predict cancer incidence via Gibbs sampling procedures. We have applied these models to fit and analyze the SEER data of human eye cancers from NCI/NIH. Our results indicate that the models not only provide a logical avenue to incorporate biological information but also fit the data much better than other models. These models would not only provide more insights into human cancers but also would provide useful guidance for its prevention and control and for prediction of future cancer cases.

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Estimating the distribution of time to extinction of infectious diseases in mean-field approaches

10.1101/2020.07.10.20150359 ◽

2020 ◽

Author(s):

Maryam Aliee ◽

Kat S. Rock ◽

Matt J. Keeling

Keyword(s):

Infectious Diseases ◽

Stochastic Models ◽

Mean Field ◽

Practical Method ◽

Deterministic Models ◽

Recovery Processes ◽

Time To Extinction ◽

And Control ◽

Field Approaches ◽

Birth Death

AbstractA key challenge for many infectious diseases is to predict the time to extinction under specific interventions. In general this question requires the use of stochastic models which recognise the inherent individual-based, chance-driven nature of the dynamics; yet stochastic models are inherently computationally expensive, especially when parameter uncertainty also needs to be incorporated. Deterministic models are often used for prediction as they are more tractable, however their inability to precisely reach zero infections makes forecasting extinction times problematic. Here, we study the extinction problem in deterministic models with the help of an effective “birth-death” description of infection and recovery processes. We present a practical method to estimate the distribution, and therefore robust means and prediction intervals, of extinction times by calculating their different moments within the birth-death framework. We show these predictions agree very well with the results of stochastic models by analysing the simplified SIS dynamics as well as studying an example of more complex and realistic dynamics accounting for the infection and control of African sleeping sickness (Trypanosoma brucei gambiense).

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TRAFFIC CONTROL MANAGEMENT FOR CONNECTIVITY ROADS FROM HYDERABAD TO WARANGAL HIGH WAY (NH163)

International Journal For Innovative Engineering and Management Research ◽

10.48047/ijiemr/v09/i12/27 ◽

2020 ◽

pp. 164-172

Keyword(s):

Traffic Control ◽

Automated Highway Systems ◽

Upper Limits ◽

Cutoff Points ◽

Automated Highway ◽

And Control ◽

Activity Strategy ◽

Control Management

Due to the ever increasing need for transportation, there will be increasingly automobile overloads except if some sweeping measures are taken. There are numerous conceivable approaches to diminish blockage, (for example, constructing new streets, new evaluating strategies, move of transport from street to prepare or send, et cetera). In any case, since activity blockage is a squeezing issue that seriously affects both the economy and nature, there unquestionably is a requirement for measures that can be executed on the here and now. In this paper we talk about from a frameworks and control perspective a portion of the techniques that can be utilized to decrease activity clog issues. We will center around Warangal high way (NH 164) and ring streets First we quickly examine the Automated Highway Systems (AHS) structure, which prompts a decrease of activity clog and to a superior utilization of the accessible limit of the transportation organize. ATMS utilize propelled displaying, recreation, streamlining and media transmission procedures to create and to actualize different activity strategy measures to decrease movement blockage. The between vehicle detachment, which relies upon the vehicle braking ability, control circle delays and working velocity, is then used to process siteautonomous upper limits on AHS limit with regards to a given blend of vehicle classes. The affectability of the limit as for the level of between vehicle participation, registration strategies (administering least adequate vehicle-braking capacity), thruway speed cutoff points, and path utilize arrangements (overseeing the sharing of a path by numerous vehicle classes) is additionally examined.

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Biological Cell Inspired Stochastic Models and Control

Microbiorobotics ◽

10.1016/b978-1-4557-7891-1.00006-2 ◽

2012 ◽

pp. 145-161

Author(s):

Dejan Milutinović ◽

Pedro Lima

Keyword(s):

Stochastic Models ◽

Biological Cell ◽

And Control

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Rethinking Stormwater: Analysis Using the Hydrosocial Cycle

Water ◽

10.3390/w12051273 ◽

2020 ◽

Vol 12 (5) ◽

pp. 1273 ◽

Cited By ~ 2

Author(s):

Matthew Wilfong ◽

Mitchell Pavao-Zuckerman

Keyword(s):

Water Management ◽

Case Studies ◽

Stormwater Management ◽

Interdisciplinary Approach ◽

The United States ◽

Safety And Health ◽

Equitable Outcomes ◽

And Control ◽

Control Management ◽

Key Questions

Water management and governance continues to rely on the scientific and engineering principles of the hydrologic cycle for decision-making on policies and infrastructure choices. This over-reliance on hydrologic-based, technocratic, command-and-control management and governance tends to discount and overlook the political, social, cultural, and economic factors that shape water-society relationships. This paper utilizes an alternative framework, the hydrosocial cycle, to analyze how water and society shape each other over time. In this paper, the hydrosocial framework is applied to stormwater management in the United States. Two hydrosocial case studies centered on rain and stormwater are investigated to highlight how stormwater management can benefit from a hydrosocial approach. The insights and implications from these case studies are then applied to stormwater management by formulating key questions that arise under the hydrosocial framework. These key questions are significant to progressing stormwater management to more sustainable, resilient, and equitable outcomes for environmental and public safety and health. This paper frames a conversation for incorporating the hydrosocial framework into stormwater management and demonstrates the need for an interdisciplinary approach to water management and governance issues.

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