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  • 1
    Language: English
    In: Radiotherapy and Oncology, 2013, Vol.106, p.S389
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/S0167-8140(15)33320-X Byline: S. Radenkovic, S. Vucicevic, M. Nikitovic, V. Zivanovic, J. Bokun, Z. Rakocevic
    Keywords: Tumors ; Surgery ; Radiotherapy ; Radiation (Physics)
    ISSN: 0167-8140
    Source: Cengage Learning, Inc.
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  • 2
    Language: English
    In: Biological Conservation, August 2017, Vol.212, pp.216-229
    Description: Responses of hoverflies (Diptera: Syrphidae) to climate change remain mostly unexplored. Here, for the first time, we investigate the impact of climate change on both presence/absence and abundances of hoverfly species. We used generalized linear models to analyse the relationships of climatic and soil variables with the occurrence and abundance of species on the Balkan Peninsula. Our results show that the ranges of all and the abundances of many species are projected to decrease in the future. Climatically suitable conditions for mountainous species are predicted to generally shift northwards. Species adapted to high mountains are projected to almost vanish from the Balkans and only regions of the Alps would remain suitable for them. We found climatic variables were more important in determining abundance than occurrence. Given that environmental factors differed in terms of their impact on abundance and occurrence, we highlight the importance of monitoring both parameters to ensure effective conservation. Considering the different projected responses of hoverflies to future climate change, as well as their value as pollinators and the increasing threats they currently face, knowledge on their responses to the major drivers of their life-histories is indispensable for proper management and conservation action. We reveal that nationally-designated protected areas are insufficient to conserve the species considered here, both currently and under projected climate change. We recommend implementation of an integrated conservation management plan that can provide a continuum of protected areas along the Dinaric mountain chain to facilitate movement of species to enhance species survival.
    Keywords: Abundance ; Climate Change ; Species Distribution Modeling ; Syrphids ; Pollinator Conservation ; Agriculture ; Biology ; Ecology
    ISSN: 0006-3207
    E-ISSN: 18732917
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  • 3
    Language: English
    In: European Journal of Cancer, 2011, Vol.47, pp.S362-S362
    Keywords: Medicine
    ISSN: 0959-8049
    E-ISSN: 1879-0852
    Source: ScienceDirect Journals (Elsevier)
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  • 4
    Language: English
    In: Russian Journal of Physical Chemistry A, 2011, Vol.85(13), pp.2368-2372
    Description: The diradical character of zethrenes was investigated using a symmetry-broken UB3LYP/6-311G( d,p ) method. The number of hexagons in the investigated molecules ranges from 6 to 12. It was found that all zethrenes are singlet diradicals, whose diradical character increases with the increasing size of the molecules. A singlet diradical structure provides a possibility for an electron pair to occupy different parts of space, and allows for achieving aromatic stabilization. It can be predicted, on the basis of the singlet-triplet values, that even higher zethrenes will be singlet, but not triplet molecules.
    Keywords: zethrenes ; singlet diradical character ; density functional theory calculations
    ISSN: 0036-0244
    E-ISSN: 1531-863X
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  • 5
    Language: English
    In: Systems & Control Letters, 2015, Vol.76, p.66(8)
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.sysconle.2014.12.006 Byline: Miloje S. Radenkovic, Mark Golkowski Abstract: The problem of self-tuning of coupling parameters in multi-agent systems is considered. Agent dynamics are described by a discrete-time double integrator with unknown input gain. Each agent locally tunes the strength of interaction with neighboring agents by using a normalized gradient algorithm (NGA). The tuning algorithm minimizes the square of the error between an individual agent's state (velocity) and the one step delayed average of its own state and the states of its neighbors. Assuming that the network graph is strongly connected, it is proved that the sequence of coupling parameters is convergent and all velocities converge toward the same constant value. Article History: Received 28 May 2014; Revised 10 November 2014; Accepted 11 December 2014
    Keywords: Algorithms
    ISSN: 0167-6911
    Source: Cengage Learning, Inc.
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  • 6
    Language: English
    In: Biological Conservation, June 2016, Vol.198, pp.22-32
    Description: Hoverflies are a valuable group of species in need of conservation and monitoring, due to their large contribution to pollination, biological control, and role as indicators of ecosystem change. Though hoverflies are a well-known group of insects, there has been little documentation of their current conservation status. Using long-term hoverfly monitoring data, this study reports on their prevalence in Serbia and presents priority areas for their conservation. An expert-generated, criteria-driven approach was used to identify core areas for conservation of hoverflies, named Prime Hoverfly Areas (PHA); 34% of the identified area lies outside of a national protection area (NPA) network. A systematic conservation approach (gap and irreplaceability analysis) was then applied to evaluate: 1) sufficiency of the NPA for hoverfly conservation, and 2) degree of improvement in hoverfly conservation conferred by the expert-generated PHA network. The networks were evaluated for the achievement of predefined representation targets for each of the 155 hoverfly species identified as important for conservation. We found that the NPA network is insufficient, as it does not cover the ranges of 18% of considered species. The area of the proposed PHA outside of the NPA is small (1.36% of the national territory), but its protection would greatly improve hoverfly conservation by increasing the inclusion of hoverfly habitats for previously unprotected species and by including hoverfly biodiversity hot spots. The suggested PHA network was then compared to a similarly designed habitat network aimed to conserve butterflies. There was partial overlap between the two networks, highlighting the importance of considering multiple groups in planning comprehensive conservation strategies for pollinators.
    Keywords: Important Biodiversity Areas ; Biodiversity Hotspots ; Insect Conservation ; Protected Areas ; Serbia ; Hoverflies ; Agriculture ; Biology ; Ecology
    ISSN: 0006-3207
    E-ISSN: 18732917
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  • 7
    Language: English
    In: Automatica, May 2018, Vol.91, pp.233-243
    Description: In this paper we propose novel distributed adaptive controllers for leaderless synchronization in networks of identical discrete-time dynamical systems. Separate algorithms are developed for the cases of known and unknown control directions. Assuming that the directed network graph is strongly connected, it is proved that all agent outputs converge toward an emerging, unknown in advance, synchronization trajectory. This trajectory is not available for use by the agent’s controllers, and its pattern is determined by the internal model built-in in the distributed adaptation mechanism. It is also shown that for each agent the controller parameter estimates are convergent sequences, and the inputs are uniformly bounded signals. The key to obtaining presented results is to construct adaptive algorithms providing -boundedness of certain error signals driving the local parameter estimators. The proposed estimators have a non-vanishing step-size.
    Keywords: Distributed Adaptive Synchronization ; Multiagent Systems ; Unknown Control Direction ; Directed Graph ; Internal Model ; [Formula Omitted]-Stability ; Engineering
    ISSN: 0005-1098
    E-ISSN: 1873-2836
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  • 8
    Language: English
    In: Automatica, July 2018, Vol.93, pp.189-196
    Description: This paper presents a novel algorithm for adaptive stabilization of unstable discrete time systems with unknown control directions. In a departure from commonly used recursive least squares and gradient type parameter estimators, the proposed algorithm is based on extremum seeking (ES) method. The perturbation signal is a martingale difference sequence (m.d.s) with a non-decaying (bounded from below) variance. In spite of a non-vanishing perturbation, somewhat surprisingly it is shown that globally, almost surely (a.s.) the tracking error converges to zero, input and output signals are uniformly bounded, and the parameter estimates are convergent sequences.
    Keywords: Extremum Seeking ; Adaptive Control ; Parameter Estimation ; Control Direction ; Martingale Convergence ; Engineering
    ISSN: 0005-1098
    E-ISSN: 1873-2836
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  • 9
    Language: English
    In: Systems & Control Letters, August 2016, Vol.94, pp.133-141
    Description: This paper presents an extremum seeking (ES) algorithm where the perturbation signal is a martingale difference sequence (m.d.s.) with a vanishing variance. The measurement noise at the plant output is modeled by a superposition of deterministic component, and a non-stationary colored noise signal. The optimizing set point of the uncertain reference-to-output equilibrium map is estimated by a stochastic approximation (SA)-type algorithm. The algorithm has a vanishing gain sequence dependent on the set point estimates. By utilizing powerful tools of the martingale convergence theory it is proved that with probability one the set point estimates converge to the optimizing equilibrium point, in spite of the presence of a measurement noise. This result is derived without requiring boundedness or any prior condition on the set point estimates.
    Keywords: Extremum Seeking ; Stochastic Perturbation ; Self-Optimizing Control ; Martingale Convergence ; Engineering
    ISSN: 0167-6911
    E-ISSN: 1872-7956
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  • 10
    Language: English
    In: Journal of Hypertension, 2011, Vol.29, p.e370
    ISSN: 0263-6352
    Source: Wolters Kluwer - Ovid - Lippincott Williams & Wilkins (via CrossRef)
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