TY  - CONF
AU  - Radovanović, Milan M.
AU  - Malinović-Milićević, Slavica
AU  - Radenković, Sonja
AU  - Milenković, Milan
AU  - Milovanović, Boško
AU  - Milanović Pešić, Ana
AU  - Popović, Vladimir
PY  - 2022
UR  - https://dais.sanu.ac.rs/123456789/13864
AB  - This paper investigates hidden dependencies between the flow of particles coming from the Sun and 20 flood events in the United Kingdom (UK). The dataset analyzed in the study contains historical data covered on the daily level for the period October 2001 – December 2019. Solar activity parameters were used as model input, while rainfall data 10 days before and during each flood event were used as model output. To determine the degree of randomness for the time series of input and output parameters the correlation analysis has been performed. Machine Learning Classification Predictive Modelling is then applied to try to establish an eventual link between input and output data. Specifically, the decision tree, as the machine learning approach is used. In addition, it is analyzed the accuracy of classification models forecast. It is found that the most important factors for flood forecasting are proton density, differential proton flux in the range of 310-580 keV, and ion temperature. Research in this paper has shown that the classification model is accurate and adequate to predict the appearance of precipitation-induced floods.
PB  - Russian Federation : Faculty of Geography, Lomonosov Moscow State University
C3  - Рациональное природопользование: традиции и иновации. Материалы III Международной конференци
T1  - Influence of Space Weather on Precipitation-Induced Floods – Applying of Solar Activity Time Series in the Prediction of Precipitation-Induced Floods by Using the Machine Learning
SP  - 90
EP  - 97
UR  - https://hdl.handle.net/21.15107/rcub_dais_13864
ER  - 

@conference{
author = "Radovanović, Milan M. and Malinović-Milićević, Slavica and Radenković, Sonja and Milenković, Milan and Milovanović, Boško and Milanović Pešić, Ana and Popović, Vladimir",
year = "2022",
abstract = "This paper investigates hidden dependencies between the flow of particles coming from the Sun and 20 flood events in the United Kingdom (UK). The dataset analyzed in the study contains historical data covered on the daily level for the period October 2001 – December 2019. Solar activity parameters were used as model input, while rainfall data 10 days before and during each flood event were used as model output. To determine the degree of randomness for the time series of input and output parameters the correlation analysis has been performed. Machine Learning Classification Predictive Modelling is then applied to try to establish an eventual link between input and output data. Specifically, the decision tree, as the machine learning approach is used. In addition, it is analyzed the accuracy of classification models forecast. It is found that the most important factors for flood forecasting are proton density, differential proton flux in the range of 310-580 keV, and ion temperature. Research in this paper has shown that the classification model is accurate and adequate to predict the appearance of precipitation-induced floods.",
publisher = "Russian Federation : Faculty of Geography, Lomonosov Moscow State University",
journal = "Рациональное природопользование: традиции и иновации. Материалы III Международной конференци",
title = "Influence of Space Weather on Precipitation-Induced Floods – Applying of Solar Activity Time Series in the Prediction of Precipitation-Induced Floods by Using the Machine Learning",
pages = "90-97",
url = "https://hdl.handle.net/21.15107/rcub_dais_13864"
}

Radovanović, M. M., Malinović-Milićević, S., Radenković, S., Milenković, M., Milovanović, B., Milanović Pešić, A.,& Popović, V.. (2022). Influence of Space Weather on Precipitation-Induced Floods – Applying of Solar Activity Time Series in the Prediction of Precipitation-Induced Floods by Using the Machine Learning. in Рациональное природопользование: традиции и иновации. Материалы III Международной конференци
Russian Federation : Faculty of Geography, Lomonosov Moscow State University., 90-97.
https://hdl.handle.net/21.15107/rcub_dais_13864

Radovanović MM, Malinović-Milićević S, Radenković S, Milenković M, Milovanović B, Milanović Pešić A, Popović V. Influence of Space Weather on Precipitation-Induced Floods – Applying of Solar Activity Time Series in the Prediction of Precipitation-Induced Floods by Using the Machine Learning. in Рациональное природопользование: традиции и иновации. Материалы III Международной конференци. 2022;:90-97.
https://hdl.handle.net/21.15107/rcub_dais_13864 .

Radovanović, Milan M., Malinović-Milićević, Slavica, Radenković, Sonja, Milenković, Milan, Milovanović, Boško, Milanović Pešić, Ana, Popović, Vladimir, "Influence of Space Weather on Precipitation-Induced Floods – Applying of Solar Activity Time Series in the Prediction of Precipitation-Induced Floods by Using the Machine Learning" in Рациональное природопользование: традиции и иновации. Материалы III Международной конференци (2022):90-97,
https://hdl.handle.net/21.15107/rcub_dais_13864 .

TY  - JOUR
AU  - Stevanović, Magdalena
AU  - Vukomanović, Marija
AU  - Milenković, M.
AU  - Boccaccini, Aldo R.
PY  - 2022
UR  - https://dais.sanu.ac.rs/123456789/13512
AB  - Antimicrobial resistance (AMR) and infections caused by multidrug-resistant microbial pathogens represent one of the major clinical challenges responsible for high-level morbidity and mortality. They are a significant problem to the public health and the economic stability of societies all over the world. In November 2021 WHO has declared AMR as one of the top 10 global public health threats (Antimicrobial resistance (who.int)). According to CDC’s 2019 AMR Report, although declining since 2013, with 2.8 million new cases and more than 35,000 deaths each year, the number of people facing the AMR problem in United States is still too high (Antibiotic Resistance Threats in the United States, 2019 (cdc.gov)). AMR also remains the major health concern of EU with more than 670,000 new cases of infections caused by antibiotic-resistant bacterial strains and more than 33,000 deaths per year (Antimicrobial resistance surveillance in Europe 2022 - 2020 data (europa.eu)). In 2019 China recorded 39-% drop of antibiotic use in hospitalised patients compare to 2011 (Antimicrobial resistance - China (who.int)). Still, with 73,000 estimated new cases only for multi-drug resistant tuberculosis, the region remained at second position of the global highest incident rates (Antimicrobial resistance - China (who.int)). Each year a large number of people receive different kinds of implants, for example, hip or knee. However recent discoveries reveal that, either during the operative protocol or due to secondary infections, the implant’s surface could be colonized by bacteria, fungi, or both which can have serious consequences on a patient’s health. According to Annual Epidemiological Report of ECDC in 2016, post-surgical infections were identified as most common healthcare-associated infections (Surgical site infections - Annual Epidemiological Report 2016 [2014 data] (europa.eu)). In recent years it has been also recognized that microbial biofilms are ubiquitous, which has resulted in a number of studies from a biofilm perspective. Currently, great efforts are focused on the development of innovative therapeutic strategies regarding both novel drug candidates and drug delivery systems for treating microbial infections associated with implants. However, despite all these efforts as well as the urgent need, an effective and long-lasting solution to this problem is still not found. In the last decades, great attention is paid to nanostructured polymeric materials and nanocomposites because of their unique properties, which make them appropriate candidates for various applications in different medical and pharmaceutical fields. This Research Topic draws attention to the up-to-date findings regarding these issues and advanced therapeutic strategies and approaches as possible solutions.
T2  - Frontiers in Bioengineering and Biotechnology
T1  - Editorial: Antimicrobial nanostructured polymeric materials and nanocomposites, volume II
VL  - 10
DO  - 10.3389/fbioe.2022.1015485
UR  - https://hdl.handle.net/21.15107/rcub_dais_13512
ER  - 

@article{
author = "Stevanović, Magdalena and Vukomanović, Marija and Milenković, M. and Boccaccini, Aldo R.",
year = "2022",
abstract = "Antimicrobial resistance (AMR) and infections caused by multidrug-resistant microbial pathogens represent one of the major clinical challenges responsible for high-level morbidity and mortality. They are a significant problem to the public health and the economic stability of societies all over the world. In November 2021 WHO has declared AMR as one of the top 10 global public health threats (Antimicrobial resistance (who.int)). According to CDC’s 2019 AMR Report, although declining since 2013, with 2.8 million new cases and more than 35,000 deaths each year, the number of people facing the AMR problem in United States is still too high (Antibiotic Resistance Threats in the United States, 2019 (cdc.gov)). AMR also remains the major health concern of EU with more than 670,000 new cases of infections caused by antibiotic-resistant bacterial strains and more than 33,000 deaths per year (Antimicrobial resistance surveillance in Europe 2022 - 2020 data (europa.eu)). In 2019 China recorded 39-% drop of antibiotic use in hospitalised patients compare to 2011 (Antimicrobial resistance - China (who.int)). Still, with 73,000 estimated new cases only for multi-drug resistant tuberculosis, the region remained at second position of the global highest incident rates (Antimicrobial resistance - China (who.int)). Each year a large number of people receive different kinds of implants, for example, hip or knee. However recent discoveries reveal that, either during the operative protocol or due to secondary infections, the implant’s surface could be colonized by bacteria, fungi, or both which can have serious consequences on a patient’s health. According to Annual Epidemiological Report of ECDC in 2016, post-surgical infections were identified as most common healthcare-associated infections (Surgical site infections - Annual Epidemiological Report 2016 [2014 data] (europa.eu)). In recent years it has been also recognized that microbial biofilms are ubiquitous, which has resulted in a number of studies from a biofilm perspective. Currently, great efforts are focused on the development of innovative therapeutic strategies regarding both novel drug candidates and drug delivery systems for treating microbial infections associated with implants. However, despite all these efforts as well as the urgent need, an effective and long-lasting solution to this problem is still not found. In the last decades, great attention is paid to nanostructured polymeric materials and nanocomposites because of their unique properties, which make them appropriate candidates for various applications in different medical and pharmaceutical fields. This Research Topic draws attention to the up-to-date findings regarding these issues and advanced therapeutic strategies and approaches as possible solutions.",
journal = "Frontiers in Bioengineering and Biotechnology",
title = "Editorial: Antimicrobial nanostructured polymeric materials and nanocomposites, volume II",
volume = "10",
doi = "10.3389/fbioe.2022.1015485",
url = "https://hdl.handle.net/21.15107/rcub_dais_13512"
}

Stevanović, M., Vukomanović, M., Milenković, M.,& Boccaccini, A. R.. (2022). Editorial: Antimicrobial nanostructured polymeric materials and nanocomposites, volume II. in Frontiers in Bioengineering and Biotechnology, 10.
https://doi.org/10.3389/fbioe.2022.1015485
https://hdl.handle.net/21.15107/rcub_dais_13512

Stevanović M, Vukomanović M, Milenković M, Boccaccini AR. Editorial: Antimicrobial nanostructured polymeric materials and nanocomposites, volume II. in Frontiers in Bioengineering and Biotechnology. 2022;10.
doi:10.3389/fbioe.2022.1015485
https://hdl.handle.net/21.15107/rcub_dais_13512 .

Stevanović, Magdalena, Vukomanović, Marija, Milenković, M., Boccaccini, Aldo R., "Editorial: Antimicrobial nanostructured polymeric materials and nanocomposites, volume II" in Frontiers in Bioengineering and Biotechnology, 10 (2022),
https://doi.org/10.3389/fbioe.2022.1015485 .,
https://hdl.handle.net/21.15107/rcub_dais_13512 .