Introduction/Background Malignant ovarian germ cell tumors (MOGCTs) account for 2–5% of all ovarian cancers and among them pure embryonal cell cancer is rare condition.1 2 3 4 Methodology Aim: To show successful pregnancy after unilateral salpingooopherectomy and chemotherapy in a girl with embryonal carcinoma of ovary (ECO). Results Case report: A 11 year old girl presented in January 2008. with pain in abdomen and abdominal wall hardness. CT revealed a 12 × 10 × 11 cm heterodense mass. Right sided salpingoophorectomy, omentectomy, biopsy left sided ovary was done. Histopathology examination and immunohistochemistry revealed embryonal cell cancer of ovary. Patient had FIGO stage III c disease. After the surgical removal of the tumour, the patient underwent six cycles of adjuvant chemotherapy with bleomycin, etoposide and cisplatin. Within eight year after the completion of chemotherapy she conceived spontaneously. At 39th gestational week, laparotomy as well as a C-section was done and the patient was managed successfully in giving birth to a healthy female baby (birth weight and lenth 3,430 gm/53 cm, Apgar score: 9/9). At the last follow-up visit (May 5, 2018), all the tumor markers were negative, and the control MRI and ultrasound examinations did not reveal tumor recurrence or pathological lymph nodes. Conclusion Fertility preservation surgery followed by chemotherapy may be considered as standard care of treatment in embryonal carcinoma of ovary in young girls, who want to retain fertility. Disclosure Nothing to disclose.

Smart grids growing, with deployment of the renewables in European grids, active customers and new stakeholders’ roles in electric supply requires increase of secure and reliable data exchange, using public communication infrastructures. Data classification is important by designing of the sensitive data exchange. To meet these communication needs, ENTSO-E has developed a secure, confidential, comprehensive and accessible communication and connectivity platform – ECCo SP. It is designed to function as a highly reliable and secure messaging system. The ECP platform enables near real-time data exchange, including use case “Activation of DSO-connected resources for balancing purposes in market environment”. It has been demonstrated under world conditions in Slovenia.

As a type of architectured material, knitted textiles exhibit global mechanical behavior which is affected by their microstructure defined at the scale at which yarns are arranged topologically given the type of textile manufactured. To relate local geometrical, interfacial, material, kinematic and kinetic properties to global mechanical behavior, a first-order, two-scale homogenization scheme was developed and applied in this investigation. In this approach, the equivalent stress at the far field and the consistent material stiffness are explicitly derived from the microstructure. In addition, the macrofield is linked to the microstructural properties by a user subroutine which can compute stresses and stiffness in a looped finite element (FE) code. This multiscale homogenization scheme is computationally efficient and capable of predicting the mechanical behavior at the macroscopic level while accounting directly for the deformation-induced evolution of the underlying microstructure.

Golden retriever muscular dystrophy (GRMD) is a spontaneous X‐linked canine model of Duchenne muscular dystrophy that resembles the human condition. Muscle percentage index (MPI) is proposed as an imaging biomarker of disease severity in GRMD.

Partial differential equations are a branch of engineering mathematics that in the last decades in the scientific field has played a very important role in solving certain engineering problems. In this paper, we have applied a kind of partial differential equations when examining the influence of microwaves. We have observed the phenomena occurring in one part of the electromagnetic spectrum in the frequency range of 1 GHz-100 GHz as an aggravating factor in signal transmission by telecommunication water, which was the starting point for research on this topic. The reason for isolating this area is contained in the specific technique that characterizes it. One of the types of partial hyperbolic equations is the telegraphic equation, whose solution eliminates problems related to the transmission line. The graphical interpolation of the telegraph equation is given in the Matlab Engineering Matrix Laboratory. Only the parts of mathematically important functions are derived in the paper and the final results are presented in order to represent our starting differential equation as telegraphic.

Visually impaired person might find it very difficult to locate an object that has been even slightly misplaced from its usual position. Unfortunately this is very common situation in a shared environment where multiple individuals can affect object’s position and where visually impaired person cannot rely on object’s position remaining unchanged since the last interaction with the object. In order to independently localize the object of its interest visually impaired person must rely on assistive technology. It is yet very unlikely that any single wearable assistive device will encompass the whole range of object localization scenarios and be universally adoptable to a broad range of environments. In this paper we propose indoors test setup for visually impaired persons by creating RFID based assistive environment – Visual Impairment Friendly RFID Room. The test setup can be used to evaluate RFID object localization and its use by visually impaired persons.

Visual impairment severely constraints the ability to independently conduct many everyday tasks that we usually do not consider challenging. Although some types of visual impairment can be treated efficiently there is still a considerable number of visually impaired persons, especially among aging population, which depend on help of others or assistive technology to sustain their life quality. Visually impaired person cannot perceive the full extent of surrounding information due to the lack of visual details. However great progress can be achieved if surrounding information can be somehow visually transformed to the subset of visual information that visually impaired person can perceive. To certain extent every impairment has individual characteristics, as different individuals may better respond to different subsets of visual information. Thus any assistive solution aiming to visually transform surrounding information to accommodate broad range of impairment conditions must be personalized in order to be effective. Virtual reality enables individuals to experience imaginary surroundings by tricking their visual senses and such virtual surroundings can be personalized to any extent desired. We use virtual reality, image processing, and RFID to create a test setup able to simulate visual impairment and visually transformed surroundings suitable for visual Impairment studies. The test setup enables gathering information and conducting studies on both healthy and visually impaired individuals in a controlled environment enabling reliable assistive technology development and testing.

Automated detection of asphalt pavement distresses is a very popular computer vision and image processing problem. In recent years, automated detection is an essential part of every pavement management system, since it allows very fast detection of distresses on the road. This is important because timely detection can prevent many road accidents, and hence it has potential to save lives. In this paper, we presented a new unsupervised image processing method for segmentation of the most common road distresses-pavement cracks. The method first performs slicing of an image into M×N sub-images, and then removes sub-images without cracks based on empirically defined threshold. Analysis is then carried out only on a small number of sub-images, which significantly reduces computation time. Then, a series of images processing tasks are performed to select only pixels with pavement cracks. The method is suitable as a pre-processing step in a number of computer vision tasks, and can provide rough estimation of damaged area in an image.

The aim of this paper is comparing a simulation model with real IPTV (Internet Protocol TeleVision) scenario in access network. In real IPTV scenarios, it is known that packet losses appear suddenly and might have an "explosive" character, especially in DSL (Digital Subscriber Line) case. In addition, these packet losses usually appear in groups and lead to huge degradation of the video service, which decreases customer’s QoE (Quality of Experience) level. Hence, estimation of this degradation in access network is important and the paper explained one simulation model based on SSIM (Structural Similarity Index) analysis, which can be used as one perceptive video quality assessment by imitating a real environment with packet losses. To check this, we compared our simulation model with the real IPTV video distributed over DSL (Digital Subscriber Line) and exposed to different packet loss appearances.

The paper presents an algorithm for automatic layout of class diagrams. The presented algorithm efficiently and openly tries to lay out a diagram in the landscape format using a modified Sugiyama algorithm. The proposed algorithm is implemented as an Eclipse plug-in and works within Papyrus class diagram modeling projects.