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Toplam kayıt 37, listelenen: 31-37
Clinical relevance of minor histocompatibility antigens
(Pergamon-Elsevier Science, 2019)
Objective: The minor histocompatibility antigens (MiHA) are epitopes composed of polymorphic essential peptides evoking alloimmune responses limited to a variety of human leukocyte antigen (HLA) alleles. These peptides are ...
A rare complication of hematopoietic stem cell transplantation: Kaposi sarcoma
(Pergamon-Elsevier Science, 2019)
Background: Kaposi sarcoma is a neoplasm characterized by mucocutaneous and visceral angioproliferations that requires infection with human herpes virus (HHV)-8 for its development. The iatrogenic variant is ...
Evaluation of brain MRI lesions in 381 girls with central precocious puberty
(Karger, 2019)
Central precocious puberty (CPP) in girls is a diagnosis increasingly made by the Pediatric Endocrinologists worldwide. Although it is most frequently of idiopathic origin, magnetic resonance imaging (MRI) of the brain is ...
Energy aware wireless system based software defined radio
(Institute of Electrical and Electronics Engineers Inc., 2019)
Development of green telecommunication systems is already being considered highly attractive by standard bodies and recently is attracting research attention. While most of the research focuses on modeling and simulation, ...
Floresan mikroskop görüntülerinde miyelin segmentasyonu
(Institute of Electrical and Electronics Engineers Inc., 2019)
Aksonların etrafına sarılmış¸ miyelin kılıf, hızlı bir şekilde sinyal iletimini sağlar ve deformasyonu, Multipl Skleroz (MS) gibi çeşitli nörodejeneratif hastalıklara neden olur. Aday ilaç geliştirilmesi için, miyelinizasyonun ...
Hybrid terrestrial-aerial network for ultra-reliable low-latency communication
(Institute of Electrical and Electronics Engineers Inc., 2019)
Ultra-reliable low latency communication (URLLC) is undoubtedly the toughest service class in 5G-NR from the network service provider's perspective. Different methodologies have been utilized to meet the reliability and ...
The evaluation of word embedding models and deep learning algorithms for Turkish text classification
(IEEE (Institute of Electrical and Electronics Engineers), 2019)
The use of word embedding models and deep learning algorithms are currently the most common and popular trends to enhance the overall performance of a text classification/categorization system. Word embedding models are ...