ALET (Automated Labeling of Equipment and Tools): A Dataset, a Baseline and a Usecase for Tool Detection in the Wild

Robots collaborating with humans in realistic environments will need to be able to detect the tools that can be used and manipulated. However, there is no available dataset or study that addresses this challenge in real settings. In this paper, we fill this gap by providing an extensive dataset (METU-ALET) for detecting farming, gardening, office, stonemasonry, vehicle, woodworking and workshop tools. The scenes correspond to sophisticated environments with or without humans using the tools. The scenes we consider introduce several challenges for object detection, including the small scale of the tools, their articulated nature, occlusion, inter-class invariance, etc. Moreover, we train and compare several state of the art deep object detectors (including Faster R-CNN, Cascade R-CNN, RepPoint and RetinaNet) on our dataset. We observe that the detectors have difficulty in detecting especially small-scale tools or tools that are visually similar to parts of other tools. This in turn supports the importance of our dataset and paper. With the dataset, the code and the trained models, our work provides a basis for further research into tools and their use in robotics applications.Comment: 7 pages, 4 figure

XRCC4 rs6869366 polymorphism is associated with susceptibility to both nicotine dependence and/or schizophrenia

Background: Oxidative stress induced DNA damage has been assumed to contribute to the etiopathogenesis of schizophrenia (Sch). Smoking prevalence was more common in patients with Sch. The X-ray repair cross-complementation group 4 (XRCC4) gene plays an important role in the repair of DNA double-strand breaks. Objective: The purpose of this study was to investigate whether XRCC4 rs6869366 polymorphism has a relationship both in nicotine dependence (ND) and Sch+ND risk. Methods: One hundred and four patients with Sch+ND, 133 subjects with ND only and 70 healthy controls were enrolled in the study. XRCC4 rs6869366 polymorphism was analyzed using PCR-RFLP assay. Results: The frequency of XRCC4 rs6869366 GG genotype was more common in the ND and Sch+ND group than controls (p = 0.001 and p = 0.001, respectively). XRCC4 rs6869366 TT genotype was lower in both ND and Sch+ND group compared to controls (p = 0.001 and p = 0.001, respectively). Also, XRCC4 rs6869366 G allele was higher in Sch+ND group than controls (p = 0.001) while XRCC4 rs6869366 T allele was lower in ND group than healthy controls (p=0.001). XRCC4 rs6869366 GT genotype was lower in ND group than control group (p = 0.003). Discussion: These results suggested that the XRCC4 rs6869366 polymorphism G related genotype/allele was associated with susceptibility to both ND and Sch+ND in a Turkish population

An Atypical Presentation of Brucellosis in a Patient with Isolated Thrombocytopenia Complicated with Upper Gastrointestinal Tract Bleeding

A 59-year-old female patient was admitted to the emergency service with complaints of hematemesis and melena for the last few days. In laboratory tests, the platelet count was found to be /L. Intravenous or oral corticosteroid treatment was thought to be given for ITP but disclaimed due to upper GIS bleeding. On the 5th day of treatment, Brucella melitensis was isolated from blood culture before the results of Wright tube agglutination tests were reported positive as 1 : 80. On the second day of the anti-brucellosis treatment, the thrombocyte count was raised from 6000/mm3 to 110000/mm3, and on the 3rd day to 225000/mm3

Encephalitozoon intestinalis: A Rare Cause of Diarrhea in an Allogeneic Hematopoietic Stem Cell Transplantation (HSCT) Recipient Complicated by Albendazole-Related Hepatotoxicity

Abstract: A 50-year-old male patient previously diagnosed with acute myelomonocytic (M4) leukemia in July 2009 underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT). During the pre-transplant period complete blood count (CBC), liver and renal function tests, coagulation tests, and other parameters were normal. On the first day of transplantation teicoplanin (400 mg d -1 for the first 3 d, and then 400 mg d -1 ) and caspofungin (first dose was 1×70 mg d -1 , followed by 1×50 mg d -1 ) were started intravenously due to white plaques and oropharyngeal candidiasis in the patient's mouth and perianal erythema. On the 14 th d of transplantation watery diarrhea occurred, along with abdominal discomfort, nausea, and fatigue

Alet(aletleri̇n ve eki̇pmanlarIn otomati̇kleşti̇ri̇lmi̇ş eti̇ketlenmesi̇): Alet sınıflandırılması i̇çi̇n bi̇r veri̇kümesi̇ ve i̇nsan i̇şçi̇ni̇n güvenli̇ğini̇n beli̇rlenmesi̇

For humans and robots to be able to collaborate in different tasks in the same real-life environments, robots need to be able to work with tools. This requires that they can recognize the tools, and identify their positions and orientations so that they can use them for their goals. However, neither robotics nor the computer vision community had a dataset to facilitate addressing these problems in real-life environments. In this study, we address these challenges and provide a dataset dedicated to detecting real-world tools in farming, gardening, office, stonemasonry, vehicle, workshop, and woodworking environments. Our dataset contains sophisticated environments and sometimes include humans using tools. These scenes also bear different challenges such as occlusion of tools, their inter-class invariance, and significant in-class variances. In addition, we form a baseline for our dataset using state-of-the-art object detection networks (including Faster R-CNN, Cascade R-CNN, RetinaNet, YOLOv3, RepPoint Detection, FreeAnchor, and Guided Anchor). We find that these object detectors have difficulty especially while detecting small scale tools. We also introduce synthetic images to our dataset with domain randomization and showed that they improve test results in our dataset. Moreover, as a side benefit of our dataset, we show that the annotations for the mask, helmet, headphone, glove, eye glasses tools allow us to train a novel deep network to detect whether safety measures have been taken by human workers. With these contributions, this study forms a basis for further research into tools and their use in computer vision and robotics applications.Robotların ve insanların çeşitli görevlerde, ortak bir gerçek dünya ortamında çalışabilmeleri için robotların aletlerle çalışabilir olmaları gerekmektedir. Bunu sagla mak ve aletleri amaçları dogrultusunda kullanabilmeleri için robotlar aletleri tanı yabilmeli, konumlarını ve oryantasyonlarını tespit edebilmelidir. Ancak, ne robotik toplumu ne de bilgisayarlı görü toplumu, bu gerçek dünya problemlerini çözen bir verikümesine sahip degildir. Bu çalışmada, belirtilen zorlukları hedef alan ve çift lik, bahçe, ofis, taş işçiligi, araç, çalışma masası ve tahta işçiliği ortamlarında gerçek dünya alet kullanımını barındıran bir verikümesi tanıttık. Verikümemiz karmaşık sahneler barındırmakta ve bazen aletleri kullanan insanları da içermektedir. Bu sahneler aynı zamanda, objelerin birbirlerinin önünde olması, farklı türler arasındaki benzerlikler ve aynı türler arasındaki farklılıklar gibi zorlukları da barındırmaktadır. Bu verikümesi üzerinde temel bir analizi en son teknoloji nesne tanımlayıcıları (Bunlar Faster R-CNN, Cascade R-CNN, RetinaNet, YOLOv3, RepPoint Detection, FreeAnchor ve Guided Anchor) kullanarak yaptık. Kullandıgımız derin nesne tanımlayıcılarının özellikle verikümemizdeki küçük boyutlu objelerde zorlandıgını tespit ettik. Bunun üstüne, sonuçları iyileştirmek için verikümemize alan adaptasyonu kullanarak sentetik resimler ekledik ve sonuçları iyileştirdigini gözlemledik. Dahası, verikümemize ek bir fayda olarak maske, kask, kulaklık, eldiven ve gözlük aletlerinin notlandırıldıgı resimleri kullanmanın, işçilerin güvenlik önlemlerini alıp almadığını gösteren bir derin nöron agı eğitmemizi sağladığını gösterdik. Bütün bu katkılarla, çalışmamız aletler ve onların bilgisayarlı görü ve robotik uygulamalarında kullanımlarıyla ilgili gelecekteki araştırmalara bir temel oluşturmaktadır.M.S. - Master of Scienc

Akut Promyelositik Lösemide TedaviTreatment Approaches in Acute Promyelocytic Leukemia

.:&nbsp;REVIEWAkut Promyelositik L&ouml;semide TedaviTreatment Approaches in Acute Promyelocytic LeukemiaDr. Fatih KURNAZa, Dr. Mustafa &Ccedil;ETİNaaHematoloji BD, Erciyes &Uuml;niversitesi Tıp Fak&uuml;ltesi, KayseriTurkiye Klinikleri J Hem Onc-Special Topics 2010;3(2):78-84Article Language: TRNot Free&nbsp;&Ouml;ZETAkut promyelositik l&ouml;semi (APL) molek&uuml;ler olarak hedefe y&ouml;nelik tedavinin kullanıldığı ilk malignitedir. Kanama diyatezi APL i&ccedil;in karakteristiktir ve klinik olarak en sık g&ouml;r&uuml;len durumlardan biridir. İnd&uuml;ksiyon tedavisinde kanama diyatezinin mortalitesi y&uuml;ksektir. APL tanısından ş&uuml;phelenildiğinde genetik olarak tanı doğrulaması yapılmadan ATRA tedavisine başlanmalıdır. Kanama diyatezine bağlı erken &ouml;l&uuml;mlerin &ouml;nlenmesinde destek tedavisi &ccedil;ok &ouml;nemlidir. Arsenik trioksit hedefe y&ouml;nelik tedavide etkin bir ajandır. Bu yazıda APL&#39;de tedavi yaklaşımları tartışılmıştır.Anahtar Kelimeler: L&ouml;semi, promyelositik, akut; tedavi; arsenik trioksitABSTRACTAcute promyelocytic leukemia (APL) is the first malignant disease which is highly curable with targeted therapy to molecular abnormality. The characteristic bleeding diathesis is the most common clinical manifestation of the disease, which was with a high mortality rate during induction therapy. Early administration of all-trans retinoic acid (ATRA) at the first suspicion of the disease before genetic confirmation of the diagnosis is of great impotance. Aggressive supportive treatment is critical to reduce early mortality due to coagulopathy. Arsenic trioxide is one of the effective agent as a targeted therapy. In this review treatment approachs to APL is discussed.Keywords: Leukemia, promyelocytic, acute; therapy; arsenic trioxide</div

Peripheral blood stem cell mobilization failure

Autologous hematopoietic stem cell transplantation (HSCT) is an important and often life saving treatment for many hematological malignancies and selected solid tumors. To rescue hematopoiesis after high-dose chemotherapy in autologous HSCT depends on maintaining sufficient stem cells. Hematopoietic stem cells and progenitor cells expressing CD34 in the BM are mobilized into the circulation with granulocyte-colony stimulating factor +/- chemotherapy prior to autologous HSCT. One of the most important factors for success of autologous HSCT is hematopoietic stem cell (HSC) count. Minimum threshold for the engraftment of hematopoietic cells is accepted as 2 x 10(6) CD34+ cells/kg especially for platelet engraftment. Below this level it is defined as stem cell mobilization failure. There are several factors affecting stem cell mobilization: prior chemotherapy (such as fludarabine, melphalan, lenalidomide) and radiotherapy, age, type of disease, bone marrow cellularity. We tried to summarize the reasons of peripheral stem cell mobilization failure. (C) 2015 Elsevier Ltd. All rights reserved