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Article ; Online: Organized crime

Stevanović Aleksandar

Godišnjak Fakulteta bezbednosti, Vol 2018, Iss 1, Pp 281-

Key aspects: Legal and criminological considerations

2018 Volume 301

Abstract: In this paper the author speaks about the key aspects of organized crime pointing on it's main characteristics. Clear definition of terms is important especially when it comes to phenomena such as organized crime, which are subject to different ... ...

Abstract	In this paper the author speaks about the key aspects of organized crime pointing on it's main characteristics. Clear definition of terms is important especially when it comes to phenomena such as organized crime, which are subject to different perceptions due to many circumstances. In light of this, Science should offer appropriate solutions that would overcome the ingrained prejudices made by he media and politics. Linkages between organized crime and political elites should be regard as a main element in order to define organized crime. It is indisputable that regardless the country system, organized crime seeks protection and cooperates with the authorities in order to effectively carry out its activities. The author underlines distinction of organized crime in relation to other similar legal institutions and other forms of joint commission of offenses. Finally, bearing in mind that organized crime is dynamic social category, constantly monitoring of its tendency is necessary for its proper understanding and adequate suppression.
Keywords	organized crime ; the key elements of the concept ; the connection with the state authorities ; Military Science ; U ; Social sciences (General) ; H1-99
Subject code	360
Language	Serbian
Publishing date	2018-01-01T00:00:00Z
Publisher	University of Belgrade - Faculty of Security Studies, Belgrade
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Prevalence of headache in patients with sporadic cerebral small vessel disease

Stevanović Aleksandar / Pavlović Aleksandra M.

Medicinski Podmladak, Vol 70, Iss 4, Pp 47-

2019 Volume 52

Abstract: Introduction: Cerebral small vessel disease (CSVD), a common finding in patients with vas-cular risk factors, is associated with motor, cognitive and affective disorders. Magnetic resonance imaging (MRI) brain scans of patients with CSVD include lacunar ... ...

Abstract	Introduction: Cerebral small vessel disease (CSVD), a common finding in patients with vas-cular risk factors, is associated with motor, cognitive and affective disorders. Magnetic resonance imaging (MRI) brain scans of patients with CSVD include lacunar infarcts and/or white matter hyperintensities (WMH) and microhemorrhages. Aside from rare familiar forms of CSVD, patients with headaches, especially migraineurs, have an increased risk to develop these lesions, although this relationship is rather complex and yet to be fully elucidated. Aim: The aim of the study was to determine the frequency and type of headache in patients with CSVD. Material and methods: This retrospective study included 115 patients with CSVD diagnosis admitted at the Clinic of Neurology, Clinical Center of Serbia in the period January 1 st , 2015-December 31 st , 2017. Baseline demographic data, headache type and MRI findings (ischemic lacunar infarctions, WMH, and overall lesion severity) were obtained. Data were compared between CSVD patients with headache and headache-free CSVD cases, with the use of standard statistical methods. Results: Among all patients included in this study, 44% had headaches. Lacunar infarcts were present in 86,1% and WMH in 46,1% cases. Correlation between headache symptoms and lacunar infarcts showed a trend towards statistical significance (p = 0.072) whereas headache free patients more frequently had WMH, also approaching statistical significance (p = 0.065). Conclusion: A large number of arteriolosclerotic CSVD patients complain of different types of headaches. Based on MRI findings, lacunar infarcts are related to headache symptoms, and WMHs are more frequently present in patients with a negative history of headache.
Keywords	headache ; cerebral small vessel disease ; lacunar infarction ; white matter hyperintensities ; Medicine ; R
Subject code	610 ; 616
Language	English
Publishing date	2019-01-01T00:00:00Z
Publisher	University of Belgrade, Medical Faculty
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Impact of Accurate Detection of Freeway Traffic Conditions on the Dynamic Pricing: A Case Study of I-95 Express Lanes.

Alshayeb, Suhaib / Stevanovic, Aleksandar / Mitrovic, Nikola / Dimitrijevic, Branislav

Sensors (Basel, Switzerland)

2021 Volume 21, Issue 18

Abstract: Express lanes (ELs) implementation is a proven strategy to deal with freeway traffic congestion. Dynamic toll pricing schemes effectively achieve reliable travel time on ELs. The primary inputs for the typical dynamic pricing algorithms are vehicular ... ...

Abstract	Express lanes (ELs) implementation is a proven strategy to deal with freeway traffic congestion. Dynamic toll pricing schemes effectively achieve reliable travel time on ELs. The primary inputs for the typical dynamic pricing algorithms are vehicular volumes and speeds derived from the data collected by sensors installed along the ELs. Thus, the operation of dynamic pricing critically depends on the accuracy of data collected by such traffic sensors. However, no previous research has been conducted to explicitly investigate the impact of sensor failures and erroneous sensors' data on toll computations. This research fills this gap by examining the effects of sensor failure and faulty detection scenarios on ELs tolls calculated by a dynamic pricing algorithm. The paper's methodology relies on applying the dynamic toll pricing algorithm implemented in the field and utilizing the fundamental speed-volume relationship to 'simulate' the sensors' reported data. We implemented the methodology in a case study of ELs on Interstate-95 in Southeast Florida. The results have shown that the tolls increase when sensors erroneously report higher than actual traffic demand. Moreover, it has been found that the accuracy of individual sensors and the number of sensors utilized to estimate traffic conditions are critical for accurate toll calculations.
MeSH term(s)	Accidents, Traffic ; Algorithms ; Automobile Driving ; Costs and Cost Analysis ; Travel
Language	English
Publishing date	2021-09-07
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s21185997
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Simulation and prediction of spread of COVID-19 in The Republic of Serbia by SEAIHRDS model of disease transmission.

Stanojevic, Slavoljub / Ponjavic, Mirza / Stanojevic, Slobodan / Stevanovic, Aleksandar / Radojicic, Sonja

Microbial risk analysis

2021 Volume 18, Page(s) 100161

Abstract: As a response to the pandemic caused by SARS-Cov-2 virus, on 15 March 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID-19. After a slowdown in the epidemic, on 6 May 2020, the regulatory authorities decided to ... ...

Abstract	As a response to the pandemic caused by SARS-Cov-2 virus, on 15 March 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID-19. After a slowdown in the epidemic, on 6 May 2020, the regulatory authorities decided to relax the implemented measures. However, the epidemiological situation soon worsened again. As of 7 February 2021, a total of 406,352 cases of SARSCov-2 infection have been reported in Serbia, 4,112 deaths caused by COVID-19. In order to better understand the epidemic dynamics and predict possible outcomes, we have developed an adaptive mathematical model SEAIHRDS (S-susceptible, E-exposed, A-asymptomatic, I-infected, H-hospitalized, R-recovered, d-dead due to COVID-19 infection, S-susceptible). The model can be used to simulate various scenarios of the implemented intervention measures and calculate possible epidemic outcomes, including the necessary hospital capacities. Considering promising results regarding the development of a vaccine against COVID-19, the model is extended to simulate vaccination among different population strata. The findings from various simulation scenarios have shown that, with implementation of strict measures of contact reduction, it is possible to control COVID-19 and reduce number of deaths. The findings also show that limiting effective contacts within the most susceptible population strata merits a special attention. However, the findings also show that the disease has a potential to remain in the population for a long time, likely with a seasonal pattern. If a vaccine, with efficacy equal or higher than 65%, becomes available it could help to significantly slow down or completely stop circulation of the virus in human population. The effects of vaccination depend primarily on: 1. Efficacy of available vaccine(s), 2. Prioritization of the population categories for vaccination, and 3. Overall vaccination coverage of the population, assuming that the vaccine(s) develop solid immunity in vaccinated individuals. With expected basic reproduction number of R
Language	English
Publishing date	2021-03-11
Publishing country	Netherlands
Document type	Journal Article
ISSN	2352-3530
ISSN (online)	2352-3530
DOI	10.1016/j.mran.2021.100161
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Article ; Online: Attitudes towards COVID-19 vaccination and intention to get vaccinated in Western Balkans: cross-sectional survey.

Jeremic Stojkovic, Vida / Cvjetkovic, Smiljana / Jankovic, Janko / Mandic-Rajcevic, Stefan / Matovic Miljanovic, Sanja / Stevanovic, Aleksandar / Jovic Vranes, Aleksandra / Stamenkovic, Zeljka

European journal of public health

2023 Volume 33, Issue 3, Page(s) 496–501

Abstract: Background: Introduction of vaccines against COVID-19 has not encountered expected acceptance. The uptake of COVID-19 vaccines in Western Balkans countries is lagging behind the European Union average. The aim of our study was to assess the intention to ...

Abstract	Background: Introduction of vaccines against COVID-19 has not encountered expected acceptance. The uptake of COVID-19 vaccines in Western Balkans countries is lagging behind the European Union average. The aim of our study was to assess the intention to get vaccinated against COVID-19 in the population of unvaccinated adult citizens of five Western Balkans countries, and to explore factors that influence the vaccination intention. Methods: Cross-sectional study was conducted in the period from July to October 2021. The questionnaire was shared through online social media. Intention to get vaccinated against COVID-19 was measured by a single item assessing the likelihood of getting vaccinated on a 5-points Likert scale. Linear regressions were conducted with socio-demographic characteristics, presence of chronic diseases and attitudes towards COVID-19 vaccination as independent factors. Results: The largest proportion of unvaccinated respondents willing to get vaccinated in the future was observed in Montenegro and Albania (40.4% in each country), while in the Serbian sample, the willingness to get vaccinated was the lowest (22.6%). Socio-demographic characteristics were not significantly associated with the intention to get vaccinated against COVID-19 in most of the countries. In Albania, Bosnia and Herzegovina, North Macedonia and Serbia the strongest determinant of COVID-19 vaccination intention was the higher sense of social responsibility. Conclusions: Vaccination interventions and campaigns aiming to improve the COVID-19 vaccine uptake should be focussed on specific set of factors in each country, appealing to social responsibility as most prevalent determinant of vaccination intention in Western Balkans.
MeSH term(s)	Adult ; Humans ; Intention ; COVID-19 Vaccines ; Cross-Sectional Studies ; Balkan Peninsula ; COVID-19/epidemiology ; COVID-19/prevention & control ; Vaccination
Chemical Substances	COVID-19 Vaccines
Language	English
Publishing date	2023-05-01
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1129243-x
ISSN	1464-360X ; 1101-1262
ISSN (online)	1464-360X
ISSN	1101-1262
DOI	10.1093/eurpub/ckad066
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Article: Speed Estimation of Multiple Moving Objects from a Moving UAV Platform

Biswas, Debojit / Su, Hongbo / Wang, Chengyi / Stevanovic, Aleksandar

ISPRS international journal of geo-information. 2019 May 31, v. 8, no. 6

2019

Abstract: Speed detection of a moving object using an optical camera has always been an important subject to study in computer vision. This is one of the key components to address in many application areas, such as transportation systems, military and naval ... ...

Abstract	Speed detection of a moving object using an optical camera has always been an important subject to study in computer vision. This is one of the key components to address in many application areas, such as transportation systems, military and naval applications, and robotics. In this study, we implemented a speed detection system for multiple moving objects on the ground from a moving platform in the air. A detect-and-track approach is used for primary tracking of the objects. Faster R-CNN (region-based convolutional neural network) is applied to detect the objects, and a discriminative correlation filter with CSRT (channel and spatial reliability tracking) is used for tracking. Feature-based image alignment (FBIA) is done for each frame to get the proper object location. In addition, SSIM (structural similarity index measurement) is performed to check how similar the current frame is with respect to the object detection frame. This measurement is necessary because the platform is moving, and new objects may be captured in a new frame. We achieved a speed accuracy of 96.80% with our framework with respect to the real speed of the objects.
Keywords	cameras ; computer vision ; discriminant analysis ; military lands ; robots ; unmanned aerial vehicles
Language	English
Dates of publication	2019-0531
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2655790-3
ISSN	2220-9964
ISSN	2220-9964
DOI	10.3390/ijgi8060259
Database	NAL-Catalogue (AGRICOLA)

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Article: Simulation and prediction of spread of COVID-19 in The Republic of Serbia by SEAIHRDS model of disease transmission

Stanojevic, Slavoljub / Ponjavic, Mirza / Stanojevic, Slobodan / Stevanovic, Aleksandar / Radojicic, Sonja

Microbial risk analysis. 2021 Mar. 03,

2021

Abstract	As a response to the pandemic caused by SARS-Cov-2 virus, on 15 March 2020, the Republic of Serbia introduced comprehensive anti-epidemic measures to curb COVID-19. After a slowdown in the epidemic, on 6 May 2020, the regulatory authorities decided to relax the implemented measures. However, the epidemiological situation soon worsened again. As of 7 February 2021, a total of 406,352 cases of SARSCov-2 infection have been reported in Serbia, 4,112 deaths caused by COVID-19. In order to better understand the epidemic dynamics and predict possible outcomes, we have developed an adaptive mathematical model SEAIHRDS (S-susceptible, E-exposed, A-asymptomatic, I-infected, H-hospitalized, R-recovered, d-dead due to COVID-19 infection, S-susceptible). The model can be used to simulate various scenarios of the implemented intervention measures and calculate possible epidemic outcomes, including the necessary hospital capacities. Considering promising results regarding the development of a vaccine against COVID-19, the model is extended to simulate vaccination among different population strata. The findings from various simulation scenarios have shown that, with implementation of strict measures of contact reduction, it is possible to control COVID-19 and reduce number of deaths. The findings also show that limiting effective contacts within the most susceptible population strata merits a special attention. However, the findings also show that the disease has a potential to remain in the population for a long time, likely with a seasonal pattern. If a vaccine, with efficacy equal or higher than 65%, becomes available it could help to significantly slow down or completely stop circulation of the virus in human population.The effects of vaccination depend primarily on: 1. Efficacy of available vaccine(s), 2. Prioritization of the population categories for vaccination, and 3. Overall vaccination coverage of the population, assuming that the vaccine(s) develop solid immunity in vaccinated individuals. With expected basic reproduction number of Rₒ=2.46 and vaccine efficacy of 68%, an 87% coverage would be sufficient to stop the virus circulation.
Keywords	COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; at-risk population ; basic reproduction number ; hospitals ; humans ; immunity ; mathematical models ; microbiological risk assessment ; pandemic ; prediction ; prioritization ; seasonal variation ; vaccination ; vaccines ; viruses ; Serbia
Language	English
Dates of publication	2021-0303
Publishing place	Elsevier B.V.
Document type	Article
Note	NAL-light ; Pre-press version
ISSN	2352-3522
DOI	10.1016/j.mran.2021.100161
Database	NAL-Catalogue (AGRICOLA)

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Article: Nurses' Perception of Tension, Stress, and Pressure before and during the COVID-19 Pandemic: A Multicenter Serbian Study.

Santric-Milicevic, Milena / Pavlekic, Kristina / Bukumiric, Zoran / Stevanovic, Aleksandar / Nikolic, Dejan / Matejic, Bojana / Matanovic, Dragana / Backovic, Dusan / Tulic, Goran / Lukic, Relja / Zivanovic, Dubravka / Radosavljevic, Sofija / Milovanovic, Vladimir / Zdujic, Marija / Stankovic, Sanja / Asanin, Milika / Zdravkovic, Marija / Tomasevic, Ratko

Healthcare (Basel, Switzerland)

2024 Volume 12, Issue 6

Abstract: The mental health of healthcare workers, especially the nursing staff in intensive care units, is crucial for the optimal functioning of healthcare systems during medical emergencies. This study implements a cross-sectional design to investigate the ... ...

Abstract	The mental health of healthcare workers, especially the nursing staff in intensive care units, is crucial for the optimal functioning of healthcare systems during medical emergencies. This study implements a cross-sectional design to investigate the associations between nurses' personal characteristics, workplace challenges, and job satisfaction with the increased perception of tension, stress, and pressure at the workplace (TSPW) before and during the COVID-19 pandemic. In 2021, we surveyed 4210 nurses from 19 intensive healthcare facilities in the capital of Serbia, Belgrade, and, at that time, collected data about their perceived TSPW before and during the COVID-19 pandemic. Our study identified six predictors of the increase in TSPW, as perceived by nurses: their work in COVID-19 infectious zones (OR = 1.446), exhaustion due to work under protective equipment (OR = 1.413), uncertainty and fear of infection (OR = 1.481), a high degree of superiors' appreciation and respect (OR = 1.147), a high degree of patients' attitudes (OR = 1.111), and a low degree of work autonomy (OR = 0.889). The study's findings suggest that a solution to this issue is necessary to ensure that nurses are safe and able to alleviate the physical and mental strain that comes with prolonged use of protective equipment. Nurses on the frontline of the pandemic require better health protection, better conditions, and respect for their role. Strategies to promote mental health would help reduce nurses' stress and increase job satisfaction.
Language	English
Publishing date	2024-03-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2721009-1
ISSN	2227-9032
ISSN	2227-9032
DOI	10.3390/healthcare12060663
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Book ; Online: Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvesting

Lemic, Filip / Abadal, Sergi / Stevanovic, Aleksandar / Alarcón, Eduard / Famaey, Jeroen

2021

Abstract: Nanoscale wireless networks are expected to revolutionize a variety of domains, with significant advances conceivable in in-body healthcare. In healthcare, these nanonetworks will consist of energy-harvesting nanodevices passively flowing through the ... ...

Abstract	Nanoscale wireless networks are expected to revolutionize a variety of domains, with significant advances conceivable in in-body healthcare. In healthcare, these nanonetworks will consist of energy-harvesting nanodevices passively flowing through the bloodstream, taking actions at certain locations, and communicating results to more powerful Body Area Network (BAN) nodes. Assuming such a setup and electromagnetic nanocommunication in the Terahertz (THz) frequencies, we propose a network architecture that can support fine-grained localization of the energy-harvesting in-body nanonodes, as well as their two-way communication with the outside world. The main novelties of our proposal lie in the introduction of location-aware and Wake-up Radio (WuR)-based wireless nanocommunication paradigms, as well as Software-Defined Metamaterials (SDMs), to THz-operating energy-harvesting in-body nanonetworks. We argue that, on a high level, the proposed architecture can handle (and actually benefits from) a large number of nanonodes, while simultaneously dealing with a short range of THz in-body propagation and highly constrained nanonodes. Comment: 7 pages, 5 figures, 1 table
Keywords	Computer Science - Emerging Technologies ; Computer Science - Networking and Internet Architecture
Subject code	303
Publishing date	2021-01-06
Publishing country	us
Document type	Book ; Online
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Article: The burden of breast, cervical, and colon and rectum cancer in the Balkan countries, 1990-2019 and forecast to 2030.

Todorovic, Jovana / Stamenkovic, Zeljka / Stevanovic, Aleksandar / Terzic, Natasa / Kissimova-Skarbek, Katarzyna / Tozija, Fimka / Mechili, Enkeleint A / Devleesschauwer, Brecht / Terzic-Supic, Zorica / Vasic, Milena / Bjegovic-Mikanovic, Vesna / Santric-Milicevic, Milena

Archives of public health = Archives belges de sante publique

2023 Volume 81, Issue 1, Page(s) 156

Abstract: Background: Despite effective prevention and control strategies, in countries of the Balkan region, cancers are the second leading cause of mortality, closely following circulatory system diseases.: Objective: To describe trends in the burden of ... ...

Abstract	Background: Despite effective prevention and control strategies, in countries of the Balkan region, cancers are the second leading cause of mortality, closely following circulatory system diseases. Objective: To describe trends in the burden of breast, cervical, and colon and rectum cancer in the Balkan region and per country between 1990 and 2019, including a forecast to 2030. Methods: We described the 2019 Global Burden of Disease (GBD) estimates for breast, cervical, and colon and rectum cancers in eleven Balkan countries over the period 1990-2019, including incidence, years lived with disability (YLD), years of life lost (YLL), and disability-adjusted life years (DALYs) rates per 100,000 population and accompanied 95% uncertainty interval. With the Autoregressive Integrated Moving Average, we forecasted these rates per country up to 2030. Results: In the Balkan region, the highest incidence and DALYs rates in the study period were for colon and rectum, and breast cancers. Over the study period, the DALYs rates for breast cancer per 100,000 population were the highest in Serbia (reaching 670.84 in 2019) but the lowest in Albania (reaching 271.24 in 2019). In 2019, the highest incidence of breast cancer (85 /100,000) and highest YLD rate (64 /100,000) were observed in Greece. Romania had the highest incidence rates, YLD rates, DALY rates, and YLL rates of cervical cancer, with respective 20.59%, 23.39% 4.00%, and 3.47% increases for the 1990/2019 period, and the highest forecasted burden for cervical cancer in 2030. The highest incidence rates, YLD rates and DALY rates of colon and rectum cancers were continuously recorded in Croatia (an increase of 130.75%, 48.23%, and 63.28%, respectively), while the highest YLL rates were in Bulgaria (an increase of 63.85%). The YLL rates due to colon and rectum cancers are forecasted to progress by 2030 in all Balkan countries. Conclusion: As most of the DALYs burden for breast, cervical, and colon and rectum cancer is due to premature mortality, the numerous country-specific barriers to cancer early detection and quality and care continuum should be a public priority of multi-stakeholder collaboration in the Balkan region.
Language	English
Publishing date	2023-08-24
Publishing country	England
Document type	Journal Article
ZDB-ID	1117688-x
ISSN	2049-3258 ; 0778-7367 ; 0003-9578
ISSN (online)	2049-3258
ISSN	0778-7367 ; 0003-9578
DOI	10.1186/s13690-023-01137-9
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