A Case of Swyer-James-Macleod Syndrome Associated with Middle Lobe Hypoplasia and Arteriovenous Malformation

A 58-year-old female patient presented to the hospital with hearing loss. In the chest radiography obtained before her ear surgery, volume decrease in the right hemithorax, elevation of the right diaphragm, and increase of ventilation in the right lung were detected. At the thorax CT-CT angiography, hypoplasia of the main pulmonary artery and its branches and arteriovenous malformation localized in the middle lobe of the right lung were detected. Thus, diagnosis of Swyer-James-Macleod syndrome associated with right lung middle lobe hypoplasia and arteriovenous malformation was made. This kind of association has not been reported earlier, so we are presenting it in the light of the literature knowledge

The Effects of Different Diet Models on Oocyte Quality, Oocyte Maturation and in Vitro Fertilization Outcomes in Mice

Nutritional quality affects fertility in both men and women. Nutrition should be considered in the prevention and treatment of infertility in men and women. In this study, we evaluated IVF rates, oocyte maturation and oocyte quality in a female animal model feding ketogenic, western and standard type diet. Female BALB / c mice were allocated to three groups: (a) control; (b) Western and (c) Ketogenic. After feeding female mice with these 3 feeding groups for 4 weeks, IVF was administered before sacrification of the mice. The number of collected oocytes and oocyte quality, fertilization rates and embryo quality were evaluated.The number of total oocytes was the highest in the ketogenic diet and the least in the western diet. MII stage oocytes in the ketogenic group were statistically significantly higher than the control group and western groups. Fertilized oocyte count was significantly lower in the western group compared to the other two groups. When the two-cell zygote stage was evaluated, it was found that the results were better in the ketogenic diet group and worse in the western diet group. The worst results in terms of the number of zygotes reaching the blastocyst stage were observed in the western type nutrition group, and the best results were observed in the group on the keteogenic diet. The results of our study show that western nutritional models negatively affect IVF results, while ketogenic diet has a positive effect. Keywords: Fertility, ketogenic diet, oocyte, ovulation, western diet DOI: 10.7176/JMPB/72-02 Publication date: January 31st 202

Aneuploidy Rate, DNA Fragmentation, Tubulin and Centrin Content in Different Groups of Male Infertility

In this study, we aimed to compare DNA fragmentation ratios, centrosomal protein concentrations (centrin and tubulin) and numerical chromosomal abnormalities between four groups including asthenozoospermia, teratozoospermia, oligoasthenozoospermia and normozoospermia patients, and to emphasize the necessity of investigating genetic and protein content of the spermatozoa also in patients with a semen analysis within normal reference range. Evaluation of semen analysis of the patients was performed based on WHO 2010 criteria. As a result of the statistical analysis, it was observed that the sperm DNA fragmentation rate in the normozoospermia group (6.50 ± 3.46%) was significantly lower than those in the teratozoospermia (19.69 ± 9.86%) and oligoasthenoteratozoospermia group (32.47± 14.13%) (p<0.001). For centrin and tubulin proteins, highest concentrations were observed in normozospermia group (p<0.05). When incidence of numerical abnormalities were compared between four groups, it was found that there were statistically significant differences between groups in terms of nullisomies X, Y and 13, and  21 (p<0.05). In conclusion, we suggest that abnormalities in semen parameters seem to be associated with chromosomal abnormalities; and sperm aneuploidy rate is also at a considerable level even in normozoospermic patients. Keywords: DNA fragmentation, teratozoospermia, centrin, tubulin DOI: 10.7176/JMPB/68-04 Publication date:September 30th 2020

Multi-focus image fusion based on optimal defocus estimation

One of the main drawbacks of the imaging systems is limited depth of field which prevents them from obtaining an all-in-focus image of the environment. This paper presents an efficient, pixel-based multi-focus image fusion method which generates an all-in-focus image by combining the images that are acquired from the same point of view with different focus settings. The proposed method first estimates the point spread function of each source image by utilizing the Levenberg-Marquardt algorithm. Then, artificially blurred versions of the source images are computed by convolving them with the estimated point spread functions. Fusion map is computed by making use of both the source and the artificially blurred images. At last, the fusion map is improved by morphological operators. Experimental results show that the proposed method is computationally competitive with the state-of-the-art methods and outperforms them in terms of both visual and quantitative metric evaluations. (C) 2017 Elsevier Ltd. All rights reserved.One of the main drawbacks of the imaging systems is limited depth of field which prevents them from obtaining an all-in-focus image of the environment. This paper presents an efficient, pixel-based multi-focus image fusion method which generates an all-in-focus image by combining the images that are acquired from the same point of view with different focus settings. The proposed method first estimates the point spread function of each source image by utilizing the Levenberg&ndash;Marquardt algorithm. Then, artificially blurred versions of the source images are computed by convolving them with the estimated point spread functions. Fusion map is computed by making use of both the source and the artificially blurred images. At last, the fusion map is improved by morphological operators. Experimental results show that the proposed method is computationally competitive with the state-of-the-art methods and outperforms them in terms of both visual and quantitative metric evaluations.</p

A pixel based multi-focus image fusion method

The lenses used in computer vision systems by nature provide limited depth of field, so digital cameras are incapable of acquiring an all-in-focus image of objects at varying distances in a scene. To obtain an all-in-focus image of such scenes from their differently focused images, this paper proposes a novel spatial domain multi focus image fusion technique. The developed technique, firstly, computes the point spread functions (PSF) of the source images. Next, the images are artificially blurred by convolving them with the estimated PSFs. Then, the artificially blurred images are used to determine the sharpest pixels of the source images. Finally, the all-in-focus image of the scene is constructed by gathering the sharpest pixels of the source images. Experiments are carried out on several multi-focus image sets. The proposed method and other well-known image fusion methods are compared in terms of visual and quantitative evaluation. The results obtained show the feasibility of the developed technique. (C) 2014 Elsevier B.V. All rights reserved.The lenses used in computer vision systems by nature provide limited depth of field, so digital cameras are incapable of acquiring an all-in-focus image of objects at varying distances in a scene. To obtain an all-in-focus image of such scenes from their differently focused images, this paper proposes a novel spatial domain multi focus image fusion technique. The developed technique, firstly, computes the point spread functions (PSF) of the source images. Next, the images are artificially blurred by convolving them with the estimated PSFs. Then, the artificially blurred images are used to determine the sharpest pixels of the source images. Finally, the all-in-focus image of the scene is constructed by gathering the sharpest pixels of the source images. Experiments are carried out on several multi-focus image sets. The proposed method and other well-known image fusion methods are compared in terms of visual and quantitative evaluation. The results obtained show the feasibility of the developed technique.</p

Spatial domain multi-focus image fusion Çoklu-Odakli Görüntülerin Resim Uzayinda Birleştirilmesi

One of the main problem of the optical imaging systems is limited depth of field which prevent from obtaining an all-in-focus image of the environment. This paper proposes a novel pixel-based multi-focus image fusion method making use of a series of multi-focus images to obtain an all-in-focus image. The proposed method, firstly, generate a focus map over the edges. Then, a full focus map is obtained by propagating the focus values at edge locations to the entire image. The proposed method and the state-of-the-art methods are compared in terms of both quantitative and visual evaluation. Based on the results, the proposed method outperforms the other ones

Ethical Violations and Sanctions in Scientific Publications: A Framework Proposal for Social Sciences and Humanities

In Turkey, there is a significant regulatory gap and confusion in implementation of existing regulations concerning ethical violations in academic publications. In addition, sanctions towards such kind of misconduct widely differ in terms of institutions and ethics boards. In this study, plagiarism and other ethical violations on research/publication are examined based on the discussions in the relevant literature and judgments of the Council of State and the Supreme Court. We have classified almost all ethical violations in scientific publications, and then developed a sanction framework