A new record of zerconid mites (Acari, Mesostigmata, Zerconidae) from the Thrace region of Turkey

In this study, Prozercon martae Ujvári, 2010 is recorded for the first time from Turkey. On the basis of the samples collected from the Thrace region of Turkey, its morphological features are given with drawings. © TÜBITAK

Prozercon banazensis sp. Nov. (Acari: Mesostigmata: Zerconidae), a new species of zerconid mite from Turkey, with a new record

In this study, Prozercon banazensis sp. nov. is described and illustrated from female and deutonymph specimens collected in Kütahya and Uşak provinces (Turkey). Morphological features of P. morazae Ujvári, 2011, which is a new record for the Turkish fauna, are also given with drawings. Information on habitat and distribution for each species is also provided. © TÜBİTAK

Pulmonary echinococcosis mimicking multipl lung metastasis of breast cancer: The role of fluoro-deoxy-glucose positron emission tomography

<p>Abstract</p> <p>Background</p> <p>Echinococcosis is still a serious problem particularly in endemic areas such as South and Central America, Mediterranean countries, and Russia. Furthermore, hydatid cysts of the lung are often indistinguishable from a variety of other pulmonary lesions such as lung tumors</p> <p>Case presentation</p> <p>We herein present a 56 year old woman with breast cancer who presented with bilateral pulmonary nodules due to echinococcosis granulosis that mimicked metastatic breast cancer to the lung.</p> <p>Conclusion</p> <p>During the evaluation of the malignancies which could metastasize to the lung, it must be kept in mind that the appearance of bilateral multiple pulmonary masses can also be the sign of a pulmonary echinococcosis especially in endemic areas. FDG-PET with its known high negative predictive value in characterizing indeterminate pulmonary nodules >1 cm is very helpful to characterize this kind of lesions.</p

The effectiveness of rope jumping and strength training in children with low vision

Bu çalışmanın amacı az gören çocuklarda ip atlama ve kuvvet eğitiminin fiziksel uygunluk ve yaşam kaliteleri üzerine etkisini incelemektir. Çalışma Denizli ilinde bulunan görme engellilere özel eğitim veren bir okulda gerçekleştirildi. Eğitim Kurumları Yaptırma ve Yaşatma Derneği Denizli Görme Engelliler İlkokulu/ Ortaokulu’nda gerçekleştirildi. Çalışmaya 10-14 yaş aralığındaki 19 az gören öğrenci (11 kız, 8 erkek) katıldı. Öğrenciler randomize olarak eğitim ve kontrol grubu olmak üzere iki gruba ayrıldı. Eğitim grubundaki öğrencilere 8 hafta boyunca haftada 2 gün ip atlama ve kuvvetlendirme eğitimi (mekik, şınav, köprü kurma, dambıl ve kum torbası vb. gibi egzersizler) verildi. Kontrol grubuna ise 8 hafta boyunca herhangi bir eğitim uygulanmadı. Eğitime başlamadan önce ve eğitim bittikten sonra Mekik Testi, Şinav Testi, 1 mil koş/ yürü testi, Pediatrik yaşam Kalitesi Envanteri (PedsQL) değerlendirilmesi yapıldı. Eğitim grubunda eğitim sonrasında mekik ve 1 mil koş/yürü testinde anlamlı gelişme bulundu (p0.05). Kontrol grubunda ise tüm parametrelerde istatistiksel açıdan anlamlı fark görülmedi (p>0.05). İlk değerlendirme ve son değerlendirme sonuçları arasındaki fark değerleri açısından gruplar karşılaştırıldığında iki grup arasında fark bulunmadı (p>0.05). Çalışmamızdan elde edilen sonuçlar, ip atlama ve kuvvet egzersizlerinin az gören çocukların kassal kuvvetini ve aerobik kapasitesini olumlu yönde etkilediğini gösterdi.The aim of this study is to investigate the rope jumping and strength training on phsical fitness and quality of life in children with low vision . The study was carried out in Denizli at a special school for the visually impaired students. 19 students with low vision (11 girls, 8 boys), age range with 10 to 14 years participated in the study. The students were randomly divided into two groups as training and control. Rope jumping and strength exercise (such as sit-ups, push-ups,bridge building, dumbbell and sandbag etc.) training program 2 days per week for 8 weeks were given to students in training group. No training was given to the control group. Sit-ups test, push-ups test, 1 mile running/ walking test, pediatric quality of life inventory (PedsQL) have been evaluated before and after the training. After training, in training group a significant improvement in the scores of sit-ups and 1 mile running/walking tests (p0,05). In the control group, it was not found differences in all parameters (p>0,05). When compared the differences between training and control group for delta values, it was not found differences between the groups. (p>0,05). Our results showed that rope jumping and strength training effect positively on muscle strength and aerobic capacity in children with low vision

COVID-19 detection with severity level analysis using the deep features, and wrapper-based selection of ranked features

The SARS-COV-2 virus, which causes COVID-19 disease, continues to threaten the whole world with its mutations. Many methods developed for COVID-19 detection are validated on the data sets generally including severe forms of the disease. Since the severe forms of the disease have prominent signatures on X-ray images, the performance to be achieved is high. To slow the spread of the disease, effective computer-assisted screening tools with the ability to detect the mild and the moderate forms of the disease that do not have prominent signatures are needed. In this work, various pretrained networks, namely GoogLeNet, ResNet18, SqueezeNet, ShuffleNet, EfficientNetB0, and Xception, are used as feature extractors for the COVID-19 detection with severity level analysis. The best feature extraction layer for each pre-trained network is determined to optimize the performance. After that, features obtained by the best layer are selected by following a wrapper-based feature selection strategy using the features ranked based on Laplacian scores. The experimental results achieved on two publicly available data sets including all the forms of COVID-19 disease reveal that the method generalized well on unseen data. Moreover, 66.67%, 90.32%, and 100% sensitivity are obtained in the detection of mild, moderate, and severe cases, respectively

Five new species of Zercon C. L. Koch, 1836 (Acari: Zerconidae) from northwestern Turkey

Karaca, Mehmet, Urhan, Raşit (2016): Five new species of Zercon C. L. Koch, 1836 (Acari: Zerconidae) from northwestern Turkey. Zootaxa 4127 (1): 31-59, DOI: http://doi.org/10.11646/zootaxa.4127.1.

Ensemble-LungMaskNet: Automated lung segmentation using ensembled deep encoders

Kocaeli University;Kocaeli University Technopark2021 International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2021 -- 25 August 2021 through 27 August 2021 -- -- 172175Automated lung segmentation has importance because it gives clues about several diseases to the experts. It is the step that comes before further detailed analyses of the lungs. However, segmentation of the lungs is a challenging task since the opacities and consolidations are caused by various lung diseases. As a result, the clarity of the borders of the lungs may be lost which makes the segmentation task difficult. The presence of various medical equipment such as cables in the image is another factor that makes segmentation difficult. Therefore, it is a necessity to develop methods that can handle such situations. Learning the most useful patterns related to various diseases is possible with deep learning methods. Unlike conventional methods, learning the patterns improves the generalization ability of the models on unseen data. For this purpose, a deep segmentation framework including ensembles of pre-trained lightweight networks is proposed for lung region segmentation in this work. The experimental results achieved on two publicly available data sets demonstrate the effectiveness of the proposed framework. © 2021 IEEE