A rare non-hemolytic case of ıdiopathic cold agglutinin disease

Background: Cold agglutinin disease is a very rare condition associated with agglutination of erythrocytes in cold environment usually due to IgM type antibodies. Other than hemolytic anemias, it may interfere with routine hemogram tests due to miscalculation of red blood cell count (RBC) and other hemogram parameters calculated with involvement of RBC. Awareness of the condition is important to overcome laboratory errors. Methods: We studied a peripheral blood smear and repeated the hemogram test at 37°C to establish the diagnosis of cold agglutinin disease. Results: Initial hemogram test results of the fifty-eight year-old man was as follows: RBC: 1.34 M/µL, hemoglobin (Hb): 12.4 g/dL, hematocrit (Htc): 11.8%, mean corpuscular hemoglobin (MCH): 92.4 pg, and mean corpuscular hemoglobin concentration (MCHC): 105 gr/dL. Despite the standard indirect Coombs test being negative, repeated tests at room temperature was 4+. We suspected cold agglutinin disease and repeated the hemogram test using the Bain-Marie method at 37°C and the test results showed RBC: 3.4 M/µL, hemoglobin: 12.6 g/dL, hematocrit: 30.2%, MCH: 31.7 pg, and MCHC: 41.8 g/dL. Conclusions: Inappropriate hemogram results may be a sign of underlying cold agglutinin disease. Hemolytic anemia not always accompanies the disease; however, cold exposure may trigger erythrocyte agglutination in vitro and may cause erratic laboratory results

Tactile paving surface detection with deep learning methods

Image processing applications in real-time systems have become a popular topic in recent years. Deep learning methods, one of the sub-branches of artificial intelligence, and image processing algorithms used in the field of object detection from images can be used together. In this way, applications are developed in many areas such as autonomous cars, autonomous unmanned aerial vehicles, assist robot technologies, assistant technologies for disabled and elderly individuals. This study aims to detect the tactile paving surfaces with deep learning methods in order to design an assistive technology system that can be used by visually impaired individuals, autonomous vehicles and robots. Contrary to traditional image processing algorithms, deep learning methods and image processing algorithms are used together in this study. The YOLO-V3 model, which is one of the best methods of object detection, is combined with the DenseNet model to create the YOLOV3-Dense model. YOLO-V2, YOLO-V3 and YOLOV3-Dense models were trained on the Marmara Tactile Paving Surface (MDPY) dataset, which was created by the researchers and included 4580 images and their performances were compared with each other on the test dataset. It was observed that YOLOV3-Dense model is better than other models in detecting tactile paving surface with 89% F1-score, 92% mean average Precision(mAP) and 81% IoU values

Twitter Fake Account Detection

Social networking sites such as Twitter and Facebook attracts millions of users across the world and their interaction with social networking has affected their life. This popularity in social networking has led to different problems including the possibility of exposing incorrect information to their users through fake accounts which results to the spread of malicious content. This situation can result to a huge damage in the real world to the society

A hybrid sentiment analysis method for Turkish

This paper presents a hybrid methodology for Turkish sentiment analysis, which combines the lexicon-based and machine learning (ML)-based approaches. On the lexicon-based side, we use a sentiment dictionary that is extended with a synonyms lexicon. Besides this, we tackle the classification problem with three supervised classifiers, naive Bayes, support vector machines, and J48, on the ML side. Our hybrid methodology combines these two approaches by generating a new lexicon-based value according to our feature generation algorithm and feeds it as one of the features to machine learning classifiers. Despite the linguistic challenges caused by the morphological structure of Turkish, the experimental results show that it improves the accuracy by 7% on average

A Technique For Atraumatic Extraction of Teeth Before Immediate Implant Placement Using Implant Drills.

Purpose: The purpose of this article is to present a minimally invasive technique using the implant drills to help extract teeth before the insertion of immediate implants