Dental Status of the Bulgarian Population: The Influence of Barriers to Accessing Dental Care.

Introduction Dental caries is the most common disease worldwide and affects more than 90% of Europeans. The dental status of a population is an important indicator of quality of life. Different factors act as barriers and can obstruct access to dental services.

Opportunities and challenges of single-cell and spatially resolved genomics methods for neuroscience discovery.

Over the past decade, single-cell genomics technologies have allowed scalable profiling of cell-type-specific features, which has substantially increased our ability to study cellular diversity and transcriptional programs in heterogeneous tissues. Yet our understanding of mechanisms of gene regulation or the rules that govern interactions between cell types is still limited. The advent of new computational pipelines and technologies, such as single-cell epigenomics and spatially resolved transcriptomics, has created opportunities to explore two new axes of biological variation: cell-intrinsic regulation of cell states and expression programs and interactions between cells.

The Impact of Demographic, Psychosocial, and Socioeconomic Factors on Barriers to Accessing Dental Services in Bulgaria.

Introduction Dental health is an important component of overall health. Many factors can obstruct access to dental care and limit the utilization of services. Barriers to accessing dental services are divided into three groups - by patients, by dental profession, and by state and society.

A Machine Learning Approach for Path Loss Prediction Using Combination of Regression and Classification Models.

One of the key parameters in radio link planning is the propagation path loss. Most of the existing methods for its prediction are not characterized by a good balance between accuracy, generality, and low computational complexity. To address this problem, a machine learning approach for path loss prediction is presented in this study.