Cellular automata (CA) are time and space discrete dynamical systems that can model biological systems. The aim of this study is to simulate by CA experiments how the disease of periodontitis propagates along the dental root surface. Using a Moore neighborhood on a grid copy of the pattern of periodontal ligament fibers (PDLF) supporting and anchoring the teeth to bone, we investigate the fract...

In order to control the development of urban space, it is important explore scientific methods provide a reference for regional territorial space planning. On basis minimum cumulative resistance (MCR) model and cellular automaton (CA)-Markov model, we constructed new technical method delineating boundaries, exploring temporal spatial distribution characteristic land use in Wuhan from 2010 2020 ...

We used decision analysis techniques with Markov cohort modeling to examine the role of cancer antigen 125 (CA-125) in follow-up surveillance strategies among patients with advanced ovarian cancer. Utilities were derived from a societal perspective.Using quality-adjusted life years (QALYS) as the outcome variable, the value of CA-125 monitoring for asymptomatic women with ovarian cancer was fou...

In this paper, the performance of the carrier sense multiple access with collision avoidance (CSMA/CA) protocol at MAC layer with sensing errors at physical layer is investigated. Here the sensing errors are captured by modifying the Markov chain model widely used for the CSMA/CA analysis called Bianchi’s model. We investigate the throughput as a function of carrier sensing error probabilities:...

Over the past few decades, growth of population and development economy have had a significant impact on way land is used covered (LULC) in Nile Nyabarongo River basin. However, there limited knowledge about patterns use mechanisms that drive changes these because human activities. Therefore, it crucial to examine how cover are shifting this area, identify factors responsible for changes, forec...

Understanding the spatiotemporal changes in land use and cover (LULC) watershed is crucial for maintaining sustainability of resources. This study intents to understand historical (1972–2015) future (2030–2060) distribution LULC Upper Awash Basin (UAB). The supervised Maximum Likelihood Classifier technique (MLC) was implemented classification. Cellular Automata-Markov (CA–Markov) model employe...