Прегледај по Аутор "Simeunovic, Vlado"

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    3D Visualization of Urban Area Using Lidar Technology and CityGML
    (2017) Popovic, Dragana; Govedarica, Miro; Jovanovic, Dusan; Radulovic, Aleksandra; Simeunovic, Vlado
    3D models of urban areas have found use in modern world such as navigation, cartography, urban planning visualization, construction, tourism and even in new applications of mobile navigations. With the advancement of technology there are much better solutions for mapping earth's surface and spatial objects. 3D city model enables exploration, analysis, management tasks and presentation of a city. Urban areas consist of terrain surfaces, buildings, vegetation and other parts of city infrastructure such as city furniture. Nowadays there are a lot of different methods for collecting, processing and publishing 3D models of area of interest. LIDAR technology is one of the most effective methods for collecting data due the large amount data that can be obtained with high density and geometrical accuracy. CityGML is open standard data model for storing alphanumeric and geometry attributes of city. There are 5 levels of display (LoD0, LoD1, LoD2, LoD3, LoD4). In this study, main aim is to represent part of urban area of Novi Sad using LIDAR technology, for data collecting, and different methods for extraction of information's using CityGML as a standard for 3D representation. By using series of programs, it is possible to process collected data, transform it to CityGML and store it in spatial database. Final product is CityGML 3D model which can display textures and colours in order to give a better insight of the cities. This paper shows results of the first three levels of display. They consist of digital terrain model and buildings with differentiated rooftops and differentiated boundary surfaces. Complete model gives us a realistic view of 3D objects.
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    High Ki67 as negative predictor for response to concurrent radiotherapy plus Capecitabine in chemo-resistant advanced breast cancer
    (2021) Trokic, Danijela; Marosevic, Goran; Simeunovic, Vlado; Lekic, Stanislava; Babic, Bozana; Gojkovic, Zdenka
    Purpose: The purpose of this study was to evaluate Ki67 as a biomarker for response to concurrent chemo-radiotherapy in previously treated patients with standard chemotherapy protocols in the neoadjuvant setting (NACT). Methods: Evaluated were 33 patients treated concurrently with radiotherapy and capecitabine. All patients had residual disease after anthracycline-docetaxel based NACT, verified with imaging techniques and clinical exams. Response rate (RR) was evaluated 3 months after completion of the concurrent treatment, and was correlated to tumor immunehistochemical characteristics. Binary logical regression was used for model testing and correlation of Ki67 and RR. An Omnibus test showed the model to be statistically significant and that a set of depending variables can be used as predictors for treatment response with p=0.021. Model -2 log likelihood with Nagelkerke R Square were used to define significance of other tumor characteristics besides Ki67. Results: Only Ki67 showed statistically significant correlation with RR, as high Ki67 predicts that there will be no response to concurrent capecitabine - radiotherapy treatment in chemo-resistant advanced breast cancer. Other characteristics such as histological grade, estrogen or progesterone receptors, HER2 overexpression or lymphovascular or perineural invasion showed no significance. Conclusion: High value of Ki67 is a negative predictor for response in concurrent capecitabine-radiotherapy treatment in chemo-resistant advanced breast cancer.
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    Еxploring e-learning critical success factors in digitally underdeveloped countries during the first wave of the COVID-19
    (Routledge, 2021) Milic, Sanja; Simeunovic, Vlado
    Regarding the fact that the entire spring semester in higher education was based on online teaching realized at the state University of East Sarajevo, and that the students thus gained a completely new experience, the aim of this research is to identify and study the e-learning critical success factors (CSF) on the basis of the students’ perceptions. A number of 356 students of all 17 faculties with in the University participated in the research. The students’ attitudes were collected by the instrument containing 36 items, constructed on the basis of a comprehensive review of previous researches of the e-learning critical success factors and semi-structured interview with the students. Seven factors were extracted and studied by the factor analysis: quality learning materials, student’s attitude toward e-learning, teacher’s attitude toward elearning, technological support, classroom interaction, student’s activities and teacher’s attitude towards students. In response to the pandemic, universities are expected to change their traditional concept of learning and offer models of distance learning in the future. Therefore, the results of this research may be of key importance for the selection and implementation of the appropriate e-learning applications and platforms.