Suzana BlesicInstitute for Medical Research University of Belgrade · Physics of complex systems
Suzana Blesic
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51
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Publications (51)
Introduction
Leveraging data science could significantly advance the understanding of the health impacts of climate change and air pollution to meet health systems’ needs and improve public health in Africa. This scoping review will aim to identify and synthesise evidence on the use of data science as an intervention to address climate change and a...
Dust storms are meteorological hazards associated with several adverse health impacts including eye irritations, respiratory and cardiovascular disorders, and vehicular road accidents due to poor visibility. This study investigated relations between admissions from a large, public hospital that serves people living in Northern Cape and Free State p...
Compound weather and climate events are combinations of climate drivers and/or hazards that contribute to societal or environmental risk. Studying compound events often requires a multidisciplinary approach combining domain knowledge of the underlying processes with, for example, statistical methods and climate model outputs. Recently, to aid the d...
Compound weather and climate events are combinations of climate drivers and/or hazards that contribute to societal or environmental risk. Studying compound events often requires a multidisciplinary approach combining domain knowledge of the underlying processes with, for example, statistical methods and climate model outputs. Recently, to aid the d...
Background
Climate variables impact human health and in an era of climate change, there is a pressing need to understand these relationships to best inform how such impacts are likely to change.
Objectives
This study sought to investigate time series of daily admissions from two public hospitals in Limpopo province in South Africa with climate var...
In this paper we assessed changes in scaling properties of the river Danube level and flow data, associated with building of Djerdap/Iron Gates hydrological power plants positioned on the border of Romania and Serbia. We used detrended fluctuation analysis (DFA), wavelet transform spectral analysis (WTS) and wavelet modulus maxima method (WTMM) to...
We used detrended methods for scaling analysis (DFA2 and DMA) and wavelet transform spectral analysis (WTS) to characterize long‐term persistence (LTP) properties of temperature anomalies time series from observational stations from climatically and topologically homogeneous HadCRUT4 grid cells. We were interested to investigate the validity of the...
This paper provides a brief review of the interesting physics that arises from the use of detrending methods for time series analysis for the study of phenomena related to problems of adaptation to climate change. It presents illustrative examples of some of the newly developed or already existent methodological solutions that can be used to study...
Urban environments can have high‐risk spaces that can provide excess personal sun exposure, such as urban or street canyons, and the spaces between buildings, amongst others. In these urban spaces sun exposure can be high or low depending on several factors. Polysulphone film (PSF) was used to assess possible daily solar ultraviolet radiation (UVR)...
Studies of personal solar ultraviolet radiation (pUVR) exposure are important to identify populations at-risk of excess and insufficient exposure given the negative and positive health impacts, respectively, of time spent in the sun. Electronic UVR dosimeters measure personal solar UVR exposure at high frequency intervals generating large datasets....
In this paper we assessed changes in scaling properties of the river Danube level and flow data, associated with building of Djerdap/Iron Gates hydrological power plants positioned on the border of Romania and Serbia. We used detrended fluctuation analysis (DFA), wavelet transform spectral analysis (WTS) and wavelet-based modulus maxima method (WTM...
We investigated scaling properties of two datasets of the observed near-surface global temperature data anomalies: the UK Meteorological Office and the University of East Anglia Climatic Research Unit HadCRUT4 dataset, and the NASA GISS Land-Ocean Temperature Index (LOTI) dataset. We used detrended fluctuation analysis of second order (DFA2) and wa...
The dynamics of the beryllium-7 specific activity in surface air over 1987-2011 is analyzed using wavelet transform (WT) analysis and time-dependent detrended moving average (tdDMA) method. WT analysis gives four periodicities in the beryllium-7 specific activity: one month, three months, one year, and three years. These intervals are further used...
The dynamics of the beryllium-7 specific activity in surface air over 1987–2011 is analyzed using wavelet transform (WT) analysis and time-dependent detrended moving average (tdDMA) method. WT analysis gives four periodicities in the beryllium-7 specific activity: one month, three months, one year, and three years. These intervals are further used...
Personal sun exposure measurements provide important information to guide the development of sun awareness and disease prevention campaigns. We assess the scaling properties of personal ultraviolet radiation (pUVR) sun exposure measurements using the wavelet transform (WT) spectral analysis to process long-range, high-frequency personal recordings...
U ovom radu je prikazana studija mehanizma gašenja fotoluminescencije (PL) tankih amorfnih filmova N,N′-bis(3-methylphenyl)-N,N′-bis(phenyl)benzidine (TPD) izloženih UV zračenju u vazduhu. TPD je organski molekul koji se često koristi u izradi organskih svetlećih dioda (OLED). Prilikom izlaganja TPD filmova UV zračenju u vazduhu, dolazi do fotooksi...
The mechanism of photoluminescence (PL) quenching of thin amorphous N,N′-bis(3-methylphenyl)-
N,N′-bis(phenyl)benzidine (TPD) films exposed to UV light in air is studied. TPD is small organic
molecule widely used in production of organic light emmiting devices (OLEDs). Photoluminescence of
TPD films decays exponentially with time of irradiation, i....
In this paper we have analyzed scaling properties and cyclical behavior of the three types of stock market indexes (SMI) time series: data belonging to stock markets of developed economies, emerging economies, and of the underdeveloped or transitional economies. We have used two techniques of data analysis to obtain and verify our findings: the wav...
In this paper we have analyzed scaling properties and cyclical behavior of the three types of stock market indexes (SMI) time series: data belonging to stock markets of developed economies, emerging economies, and of the underdeveloped or transitional economies. We have used two techniques of data analysis to obtain and verify our findings: the wav...
Scaling properties of personal solar ultraviolet radiation exposure (pUVR) recordings are investigated using the Wavelet Transform (WT) spectral analysis. Personal UVR recordings are collected by UVR monitors designed to measure erythemal UVR. Sun exposure recordings of a school child, farmer, marathon runner and outdoor worker in South Africa are...
In this paper we have analyzed scaling properties of time series of stock market indices (SMIs) of developing economies of Western Balkans, and have compared the results we have obtained with the results from more developed economies. We have used three different techniques of data analysis to obtain and verify our findings: detrended fluctuation a...
Transcranial magnetic stimulation (TMS) is a standard technique for noninvasive assessment of changes in central nervous system excitability. The aim of this study was to examine changes in responses to TMS in patients suffering from Parkinson's disease (PD) during sustained submaximal isometric voluntary contraction [60% of maximal voluntary contr...
Clinical decision support systems have been recognized as promising tools for influencing healthcare provider performance to improve and streamline the quality of healthcare delivery. In this paper we present the knowledge management module, developed as part of KardioNet system, aimed to provide clinical decision making support for treatment of pa...
The aim of this study was to examine whether the changes of the motor cortex excitability induced by muscle fatigue could be affected by prior or subsequent intervention protocol supposed to induce opposing excitability changes. For this purpose we used paired associative stimulation (PAS) method, where peripheral nerve stimuli were associated with...
In this paper we have used the Wavelet Transform (WT) and the Detrended Fluctuation Analysis (DFA) methods to analyze hand tremor movements in essential tremor (ET), in two different recording conditions (before and after the addition of wrist-cuff load). We have analyzed the time series comprised of peak-to-peak (PtP) intervals, extracted from reg...
Recent evidence suggests that the dynamic-scaling behavior of the time-series of signals extracted from separate peaks of tremor spectra may reveal existence of multiple independent sources of tremor. Here, we have studied dynamic characteristics of the time-series of hand tremor movements in essential tremor (ET) patients using the detrended fluct...
The aim of this study was to examine whether the changes of the motor cortex excitability induced by muscle fatigue could be affected by prior or subsequent intervention protocol supposed to induce opposing excitability changes. For this purpose we used paired associative stimulation (PAS) method, where peripheral nerve stimuli were associated with...
We have studied the stimulated discharge dynamics of fusimotor neurons by applying the wavelet transform technique and by adopting that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. We found two different power-law type behaviors along interspike intervals (ISI) time scale (which implies existence...
We have studied the discharge dynamics of dorsal horn neurons by applying the detrended fluctuation analysis and the wavelet transform technique. We have adopted that the neuronal discharge dynamics is manifested by the random time series of interspike intervals. In all cases studied, we found two different power-law type behaviors across interspik...
A statistical characterization of spontaneous neuronal activity signals is presented. The first set of these signals results from in vivo measurements of action potentials of invertebrate neurons; the second set was recorded from cultured neurons based on a multielectrode-array (MEA) acquisition system. The correlations of second-, third- and fourt...
We have studied the discharge dynamics of dorsal horn neurons (DHN) by applying the detrended fluctuation analysis (DFA) and the wavelet transform (WT) technique. We have adopted that discharge dynamics is manifested by the random time series of the interspike intervals (ISI), that is, by intervals between two consecutive neuronal electrical activi...
We have analyzed spontaneous discharge dynamics of fusimotor neurons, by applying the so-called detrended fluctuation analysis, which is a modification of the random walk model analysis. Besides, we applied the wavelet analysis method to the same problem. By using these methods we have found evidence for the white noise characteristics of the time...
We study the interspike intervals (ISI) time series of the spontaneous fusimotor neuron activity by applying the wavelet transform analysis and confirm the existence of the white noise characteristics of the ISI time series. This means that the neuron activity may serve as the requisite noisy component for occurrence of the stochastic resonance mec...
Transient overshoot (TO), which is assessed as the distance between the movement amplitude and the final position, was measured in a series of rapid, discrete elbow flexion movements performed under different distance and loading conditions by 7 participants. A positive relationship was found between kinematic variables (peak velocity, peak acceler...
We have tested the hypothesis that agonist and antagonist muscle fatigue could affect the final position of rapid, discrete movements. Six subjects performed consecutive elbow flexion and extension movements between two targets, with their eyes closed prior to, and after fatiguing the elbow extensor muscles. The results demonstrate that elbow exten...
The analysis o f nonlinear signs, frequently observed in experiments to study medullar and suprasegmentar
sensoriomotor phenomena, becomes more direct by use o f neural artificial networks. So, artificial networks are frequently used to simplify the mathematical modelling o f neurophysiologic phenomena. Indeed, computational simulations become poss...
We study the interspike intervals (ISI) time series of the spontaneous fusimotor neuron activity by applying the detrended fluctuation analysis that is a modification of the random walk model analysis. Thus, we have found evidence for the white noise characteristics of the ISI time series, which means that the fusimotor activity does not possess te...
The study had two goals: (1) to understand the role of peripheral and central factors in changes in the movement symmetry ratio (acceleration time divided by deceleration time); and (2) to compare several theories of motor control with respect to their ability to predict changes in a number of kinematic indices when movements are performed against...
Responses of fusimotor neurons to lengthening vs isometric contractions have been studied in decerebrate cats. Spike discharges of fusimotor neurons to the medial gastrocnemius muscle were recorded from this muscle nerve filament during sequences of contractions and/or stretches of the lateral gastrocnemius and soleus muscles. The sequences lasted...