Localisation and Characteristics of Progenitor Cells during the Prenatal Development of Teeth in Humans // Локализация и характеристика на прогениторни клетки по време на пренаталното развитие на зъб при човек

Progenitor cells in the dental pulp have been poorly studied, and the interest in them has been progressively increasing over the last two decades due to the wide therapeutic and regenerative potential that they present. It is a cellular resource humans possess throughout their lives and can be widely used for tissue engineering. Progenitor cells from dental pulp can differentiate into many cell lines. They have a common origin, but their territory and location determine their behaviour.Прогениторните клетки в зъбната пулпа са малко изучавани и интересът към тях прогресивно се увеличава през последните две десетилетия поради широкия терапевтичен и регенеративен потенциал, който показват. Те представляват клетъчен ресурс, който човек притежава през почти целия си жизнен период и може да бъде широко използван за целите на тъканното инженерство. Прогениторните клетки от зъбна пулпа могат да се диференцират в много клетъчни линии. Тези клетки имат общ произход, но тяхната ниша и локализация диктуват тяхното поведение

Anatomical description in the fundamental work of dentistry

Anatomy is a fundamental science for any medical field. Dentistry is an excellent proof of this. Although it is now a valued and modern specialty, its development has been slow and uncertain due to the lack of this major basis. Knowledge of the structure of the dental apparatus is necessary to understand its complex functions, the diseases that occur when it is damaged and the ability to recover through appropriate treatment. The paramount importance of anatomy is discussed in the foundational work of dentistry

Molecular mechanisms of dental development in humans

Progenitor cells in dental pulp have been poorly studied and the interest in them has been progressively increasing over the last two decades due to the wide therapeutic and regenerative potential that they present. It is a cellular resource that the human possesses throughout most of his life and can be widely used for the purposes of tissue engineering. Progenitor cells from dental pulp can differentiate into many cell lines. They have a common origin, but their territory and location determine their behaviour

Algorithms for Classification of Signals Derived From Human Brain

Comparison of the Accuracy of different off-line methods for classification Electroencephalograph (EEG) signals, obtained from Brain-Computer Interface (BCI) devices are investigated in this paper. BCI is a technology that allows people to interact directly or indirectly with their environment only by using brain activity. But, the method of signal acquisition is non-invasive, resulting in significant data loss. In addition, the received signals do not contain only useful information. All this requires careful selection of the method for the classification of the received signals. The main purpose of this paper is to provide a fair and extensive comparison of some commonly employed classification methods under the same conditions so that the assessment of different classifiers will be more convictive. In this study, we investigated the accuracy of the classification of the received signals with classifiers based on AdaBoost (AB), Decision Tree (DT), k-Nearest Neighbor (kNN), Gaussian SVM, Linear SVM, Polynomial SVM, Random Forest (RF), Random Forest Regression ( RFR ). We used only basic parameters in the classification, and we did not apply fine optimization of the classification results. The obtained results show suitable algorithms for the classification of EEG signals. This would help young researchers to achieve interesting results in this field faster.</jats:p