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Accurate classification of brain tumor subtypes is important for prognosis and treatment. Researchers are developing tools based on static and dynamic feature extraction and applying machine learning and deep learning. However, static feature requires further analysis to compute the relevance, strength, and types of association. Recently Bayesian inference approach gains attraction for deeper analysis of static (hand-crafted) features to unfold hidden dynamics and relationships among features. We computed the gray level co-occurrence (GLCM) features from brain tumor meningioma and pituitary MRIs and then ranked based on entropy methods. The highly ranked Energy feature was chosen as our target variable for further empirical analysis of dynamic profiling and optimization to unfold the nonlinear intrinsic dynamics of GLCM features extracted from brain MRIs. The proposed method further unfolds the dynamics and to detailed analysis of computed features based on GLCM features for better understanding of the hidden dynamics for proper diagnosis and prognosis of tumor types leading to brain stroke. [ABSTRACT FROM AUTHOR]

Rapid urban development and modernization in Makkah have led to an increase in urban infrastructure needs. The city of Makkah is a main destination for the global Islamic pilgrimage and is highly utilized for major infrastructure and building expansion including processes of densification. As a consequence of Hajj and Umrah activities, the city experiences a major annual upward trajectory of public space usage and solid waste production which caters to the needs of temporary activities targeted to foreign visitors. These circumstances lead to issues of inefficiencies in the management of public services in the city, particularly in the provision of public space and solid waste management for residents. Within this context, the aim of this paper is to understand the development of public space in Makkah and the level of services delivered to local residents based on residents' perspectives on services provided in formal and informal settlements in Makkah. The study contributes to the gap in research on public space and waste handling in Makkah. Interviews addressing resident characteristics and public space with the quality of solid waste provision in Makkah are presented. An explanation of residents' preferences for public space was also presented. At different times of the day, in the year 2018, the observations were carried out to identify usage patterns by the residents. The paper accomplishes this by presenting significant points for developments in community space and solid waste management. [ABSTRACT FROM AUTHOR]

Hajj season is considered one of the major events during which many resources are consumed, and huge amounts of waste are produced with feelings estimated at nearly 50 thousand tons. When comparing the occasion of Hajj to other major religious occasions, we find that we have dozens of times the quantities of waste, which indicates that there is a huge drain on natural and economic resources and high levels of pollution in the region that may affect this whole society. Accordingly, the trend towards achieving this principle of circular economy leads to reaching the sustainability of the Hajj system in the holy sites in all environmental, economic, and social aspects and making it a global role model for major events. The review highlights a mechanism to increase the efficiency of the exploitation of natural resources and reduce the consumption of the resources and preserve the natural environment of the holy sites for the longest possible period and reduce the different effects on this region. [ABSTRACT FROM AUTHOR]