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L. Stanković, D. Mandic, M. Daković, Bruno Scalzo, M. Brajović, E. Sejdić, A. Constantinides

L. Stanković, D. Mandic, M. Daković, Bruno Scalzo, M. Brajović, E. Sejdić, A. Constantinides

Graph signal processing deals with signals which are observed on an irregular graph domain. While many approaches have been developed in classical graph theory to cluster vertices and segment large graphs in a signal independent way, signal localization based approaches to the analysis of data on graph represent a new research direction which is also a key to big data analytics on graphs. To this end, after an overview of the basic definitions in graphs and graph signals, we present and discuss a localized form of the graph Fourier transform. To establish an analogy with classical signal processing, spectral- and vertex-domain definitions of the localization window are given next. The spectral and vertex localization kernels are then related to the wavelet transform, followed by a study of filtering and inversion of the localized graph Fourier transform. For rigour, the analysis of energy representation and frames in the localized graph Fourier transform is extended to the energy forms of vertex-frequency distributions, which operate even without the need to apply localization windows. Another link with classical signal processing is established through the concept of local smoothness, which is subsequently related to the particular paradigm of signal smoothness on graphs. This all represents a comprehensive account of the relation of general vertex-frequency analysis with classical time-frequency analysis, and important but missing link for more advanced applications of graphs signal processing. The theory is supported by illustrative and practically relevant examples.

I. Ivančev-Tumbas, M. Bogunović, Marjeta Česen, A. Tubić, E. Heath

This study presents the results from a bench-scale UV irradiation experiment of benzophenone (BP) in different water matrices. Despite the reported resistance of BP to UV-irradiation, it was successfully degraded in solution when intensively irradiated by UV light in a batch reactor for 4 h. In this way, it was possible to remove 56 and 45 % of 1.0 and 10 ?g?L-1 of BP in Milli-Q water, respectively. The addition of a mixture of anions suppressed the degradation of BP at the lower concentration level by 20 %. The addition of a dissolved organic carbon (DOC) surrogate mixture (DOC:BP mole ratio of 3000:1) increased the degradation of BP in Milli-Q water (removal 80 %). At 1.0 ?g?L-1 of BP and 1.0 mg?L-1 of DOC, removal was 70 %, while at 10 ?g?L-1 of BP and 10 mg?L-1 of DOC, there was no observable difference in removal compared with the removal in Milli-Q water. The results show that both DOC and anions influence the photodegradation of BP. Furthermore, it was shown that the removal efficiency depends on the concentration of BP. These findings show the importance of a detailed characterisation of the water matrix in studies relating to the removal of micropollutants during UV irradiation.

P. Lazic, O. Milat, B. Gumhalter, S. Tomić

Proper inclusion of van der Waals interactions (vdW) in ab initio calculations based on the density functional theory (DFT) is crucial to describe soft, organic, layered solids such as κ -(BEDT-TTF) 2 X . Since no consensus has been reached on the reliability of available vdW DFT functionals, most of the first principles calculations have been based on experimental crystal structure data without any structural optimization. Here, we explore optimal DFT-based schemes that account for the effects of vdW interactions on the structural and electronic band properties of three paradigmatic charge transfer salts, κ -(BEDT-TTF) 2 Cu 2 (CN) 3 , κ -(BEDT-TTF) 2 Ag 2 (CN) 3 , and κ -(BEDT-TTF) 2 Cu[N(CN) 2 ]Cl, for which a unified optimization of the structure is possible. Detailed examination of the prototype test system κ -(BEDT-TTF) 2 Cu[N(CN) 2 ]Cl shows that the optB88-vdW functional performs slightly better than the PBE-vdW and that the choice of pseudopotentials is critical to obtaining realistic results.

M. Supervia, K. Turk-Adawi, F. Lopez‐Jimenez, Ella Pesah, Rongjing Ding, R. Britto, B. Bjarnason-Wehrens, W. Derman et al.

Background Cardiac rehabilitation (CR) is a clinically-effective but complex model of care. The purpose of this study was to characterize the nature of CR programs around the world, in relation to guideline recommendations, and compare this by World Health Organization (WHO) region. Methods In this cross-sectional study, a piloted survey was administered online to CR programs globally. Cardiac associations and local champions facilitated program identification. Quality (benchmark of ≥ 75% of programs in a given country meeting each of 20 indicators) was ranked. Results were compared by WHO region using generalized linear mixed models. Findings 111/203 (54.7%) countries in the world offer CR; data were collected in 93 (83.8%; N = 1082 surveys, 32.1% program response rate). The most commonly-accepted indications were: myocardial infarction (n = 832, 97.4%), percutaneous coronary intervention (n = 820, 96.1%; 0.10), and coronary artery bypass surgery (n = 817, 95.8%). Most programs were led by physicians (n = 680; 69.1%). The most common CR providers (mean = 5.9 ± 2.8/program) were: nurses (n = 816, 88.1%; low in Africa, p < 0.001), dietitians (n = 739, 80.2%), and physiotherapists (n = 733, 79.3%). The most commonly-offered core components (mean = 8.7 ± 1.9 program) were: initial assessment (n = 939, 98.8%; most commonly for hypertension, tobacco, and physical inactivity), risk factor management (n = 928, 98.2%), patient education (n = 895, 96.9%), and exercise (n = 898, 94.3%; lower in Western Pacific, p < 0.01). All regions met ≥ 16/20 quality indicators, but quality was < 75% for tobacco cessation and return-to-work counseling (lower in Americas, p = < 0.05). Interpretation This first-ever survey of CR around the globe suggests CR quality is high. However, there is significant regional variation, which could impact patient outcomes.

Uvod Poznato je da starenje za posljedicu ima opadanje tjelesnih sposobnosti čovjeka, što je uz globalni problem hipokinezije, jedan od vodećih savremenih problema društva (Čaušević, Ormanović, Doder, & Čović, 2017; Ćirić, Čaušević, & Bejdić, 2015). Individualni aerobni fi tness se smanjuje za 8-10% tokom svake decenije života, dok veoma aktivni ljudi mogu smanjiti ovaj nivo na 2-3%. Opadanje snage je osjetno u šezdesetim, a posebno u sedamdesetim godinama života (15% odnosno 30%), (Sharkey & Gaskill, 2008). Takođe u brojnim studijama, utvrđeno je da su promjene koje nastaju kao posljedica biološkog starenja, povezane sa smanjenim stepenom fi zičke aktivnosti osoba starije dobi, a koje za posljedicu imaju smanjenje mišićne mase i tjelesne funkcije. Poznato je da organizovano tjelesno vježbanje ima mnogo pozitivnih efekata na organizam čovjeka u cjelini, te da ima jasan i prioritetan fi zički i zdravstveni uticaj na osobe i njihove radne aktivnosti. Međutim, bez obzira na to šta osoba radi – bilo da se bavi prostim fi zičkim poslom (nošenjem, podizanjem, poljoprivrednim radom) ili vrši fi zičke vježbe, njen mišić ni, kardio-vaskularni, respiratorni i centralni nervni sistem aktivno funkcionišu. Shodno tome će fi zička aktivnost, bilo kao tjelesna vježba ili fi zički rad, uvijek uticati na naše tijelo i tako dovesti do poveć anog nivoa funkcionisanja (Bjelica & Krivikapić, 2019). S druge strane, neaktivnost uzrokuje 9% prerane smrtnosti, što brojem iznosi više nego 5,3 od 57 miliona smrtnih slučajeva širom svijeta tokom 2008. godine (Lee i sar. 2012). Istoimeni autori navode da ukoliko neaktivnost nije eliminisana ali jeste umanjena za 10% ili 25%, onda bi se smrtnost tokom svake godine mogla izbjeći za više od 533 000 odnosno za više od 1,3 miliona slučajeva. Ovakav navod potvrđuje i činjenica da Abstract

H. Gačanin, Erma Perenda, Samurdhi Karunaratne, R. Atawia

In this paper, we propose a new concept of a knowledge management framework to enable a self-optimizing and self-learning for wireless system operation in real time. The framework encapsulates both environment and intelligent agent to reach optimal operation through sensing, perception, reasoning, and learning in a truly autonomous fashion. The agent derives adequate knowledge from previous actions improving the quality of future decisions. Domain experience was provided to guide the agent while exploring and exploiting the set of possible actions in the environment. Thus, it guarantees low-cost learning and achieves a near-optimal network configuration addressing the non-deterministic polynomial-time hardness problem of joint channel and location optimization in a wireless system. Extensive simulations are run to validate its fast convergence, high throughput, and resilience to dynamic interference conditions. We deploy the framework on off-the-shelf wireless devices to propose autonomous self-optimization with knowledge management.

K. Turk-Adawi, M. Supervia, F. Lopez‐Jimenez, Ella Pesah, Rongjing Ding, R. Britto, B. Bjarnason-Wehrens, W. Derman et al.

Background Despite the epidemic of cardiovascular disease and the benefits of cardiac rehabilitation (CR), availability is known to be insufficient, although this is not quantified. This study ascertained CR availability, volumes and its drivers, and density. Methods A survey was administered to CR programs globally. Cardiac associations and local champions facilitated program identification. Factors associated with volumes were assessed using generalized linear mixed models, and compared by World Health Organization region. Density (i.e. annual ischemic heart disease [IHD] incidence estimate from Global Burden of Disease study divided by national CR capacity) was computed. Findings CR was available in 111/203 (54.7%) countries; data were collected in 93 (83.8% country response; N = 1082 surveys, 32.1% program response rate). Availability by region ranged from 80.7% of countries in Europe, to 17.0% in Africa (p < .001). There were 5753 programs globally that could serve 1,655,083 patients/year, despite an estimated 20,279,651 incident IHD cases globally/year. Volume was significantly greater where patients were systematically referred (odds ratio [OR] = 1.36, 95% confidence interval [CI] = 1.35–1.38) and programs offered alternative models (OR = 1.05, 95%CI = 1.04–1.06), and significantly lower with private (OR = .92, 95%CI = .91–.93) or public (OR = .83, 95%CI = .82–84) funding compared to hybrid sources. Median capacity (i.e., number of patients a program could serve annually) was 246/program (Q25-Q75 = 150–390). The absolute density was one CR spot per 11 IHD cases in countries with CR, and 12 globally. Interpretation CR is available in only half of countries globally. Where offered, capacity is grossly insufficient, such that most patients will not derive the benefits associated with participation.

Connor J. Boyle, Meenakshi Upadhyaya, Pei-Pei Wang, L. Renna, Michael Lu-Díaz, Seung-Pyo Jeong, Nicholas Hight‐Huf, Ljiljana Korugic-Karasz et al.

A significant challenge in the rational design of organic thermoelectric materials is to realize simultaneously high electrical conductivity and high induced-voltage in response to a thermal gradient, which is represented by the Seebeck coefficient. Conventional wisdom posits that the polymer alone dictates thermoelectric efficiency. Herein, we show that doping — in particular, clustering of dopants within conjugated polymer films — has a profound and predictable influence on their thermoelectric properties. We correlate Seebeck coefficient and electrical conductivity of iodine-doped poly(3-hexylthiophene) and poly[2,5-bis(2-octyldodecyl)pyrrolo[3,4-c]pyrrole-1,4(2H,5H)-dione-3,6-diyl)-alt-(2,2′;5′,2′′;5′′,2′′′-quaterthiophen-5,5′′′-diyl)] films with Kelvin probe force microscopy to highlight the role of the spatial distribution of dopants in determining overall charge transport. We fit the experimental data to a phonon-assisted hopping model and found that the distribution of dopants alters the distribution of the density of states and the Kang–Snyder transport parameter. These results highlight the importance of controlling dopant distribution within conjugated polymer films for thermoelectric and other electronic applications. Designing organic thermoelectric materials with high electrical conductivity and Seebeck coefficient is challenging due to the direct relationship between these two properties. Here, the authors explore the role of dopant spatial distribution on thermoelectric performance in conjugated polymers.

Gerard Canal, Michael Cashmore, Senka Krivic, G. Alenyà, D. Magazzeni, C. Torras

I. Dragičević, Josip Papeš, Ivica Pavičić

ABSTRACT In the bauxite-bearing area of Jajce (Bosnia & Herzegovina), exploitation of karst bauxite has occurred for more than 40 years, during which time extensive geological and mining research was also conducted. Here, the geological map of the Jajce bauxite bearing-area (Bosnia & Herzegovina) at a scale of 1:25.000 is presented, accompanied by a geological column and regional geological cross-sections. The map shows the main stratigraphic and tectonic features and positions of the bauxite deposits of the area. This research area covers 343 km2, divided into two structural units with four bauxite districts, Liskovica, Bešpelj, Crvene Stijene and Poljane. The Liskovica-Bešpelj structural unit is tectonically very complex, characterized by W-E trending structures in subvertical, vertical and overturned positions. The Crvene Stijene-Poljane structural unit is characterized by gentle folds and normal faults. The geological map summarizes all the available data and represents the necessary basis for further geological and mining research of the area.

Lejla Hajdarpasic, Džejla Khattab

This paper analyses information literacy competencies of students at the Department of Comparative Literature and Library Science, Faculty of Philosophy, University of Sarajevo that offers bachelor's degree and master's degree in library science. Survey on information literacy competencies of library science students at the Department was realized by the online questionnaire for self-assessment that was developed on the basis of Permutation Model Components with the purpose to obtain insight in student’s perception of their information literacy competencies, to detect to what degree students improve their information literacy competencies and confidence during studies and what possible difficulties they face in this process. This is particularly important considering that there is no separate information literacy course adopted in Departments curricula but the information literacy related content is offered and taught in different courses. Analysis expectedly reveals that in general students feel confident in their information literacy competencies, that their information literacy competencies progressively improve during their studies, but also that students consider that the introduction of a stand-alone information literacy course would greatly contribute to the simpler and faster improvement of their information literacy competencies.

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