Search

Given a graph L $L$, the Turán number ex(n,L) $\text{ex}(n,L)$ is the maximum possible number of edges in an n $n$‐vertex L $L$‐free graph. The study of Turán number of graphs is a central topic in extremal graph theory. Although the celebrated Erdős‐Stone‐Simonovits theorem gives the asymptotic value of ex(n,L) $\text{ex}(n,L)$ for nonbipartite L $L$, it is challenging in general to determine the exact value of ex(n,L) $\text{ex}(n,L)$ for χ(L)≥3 $\chi (L)\ge 3$. The odd‐ballooning of H $H$ is a graph such that each edge of H $H$ is replaced by an odd cycle and all new vertices of odd cycles are distinct. Here the length of odd cycles is not necessarily equal. The exact value of Turán number of the odd‐ballooning of H $H$ is previously known for H $H$ being a cycle, a path, a tree with assumptions, and K2,3 ${K}_{2,3}$. In this paper, we manage to obtain the exact value of Turán number of the odd‐ballooning of Ks,t ${K}_{s,t}$ with 2≤s≤t $2\le s\le t$, where (s,t)∉{(2,2),(2,3)} $(s,t)\notin \{(2,2),(2,3)\}$ and each odd cycle has length at least five. [ABSTRACT FROM AUTHOR]

The article discusses the application of artificial intelligence (AI) in cervical cancer screening. It highlights the severity of cervical cancer as a global health issue, particularly in low- and middle-income countries. The use of AI technology, such as deep learning and machine learning algorithms, has shown promising results in improving the accuracy and efficiency of cervical cancer screening. However, challenges such as the need for diverse and high-quality data, validation in different populations, and adherence to ethical and privacy regulations remain. Overall, the article suggests that AI technology holds promise for improving women's health outcomes in cervical cancer screening, but further research and collaboration are needed. [Extracted from the article]