ERRATUM

This erratum concerns a correction in the article KONTROLA STRANIH DIREKTNIH INVESTICIJA U PRAVU EU U USLOVIMA KRIZE IZAZVANE PANDEMIJOM published in Strani pravni život, Vol 65, no. 3, 2021, pp. 361-374 (doi: 10.5937/spz65-33936). On page 361 in the course of editorial process a footnote was omitted. The missing footnote should state the following: ** Rad predstavlja rezultat projekta Pravnog fakulteta Univerziteta u Beogradu „Epidemija. Pravo. Društvo“ za 2021. godinu. The corrected version of the article was published on the website of the journal: http://www.stranipravnizivot.rs/index.php/SPZ/article/view/837/802. The error lies solely on the editorial board, and the author bears no responsibility. We would like to apologise for any inconvenience caused.  Ova ispravka se odnosi na članak KONTROLA STRANIH DIREKTNIH INVESTICIJA U PRAVU EU U USLOVIMA KRIZE IZAZVANE PANDEMIJOM objavljen u časopisu Strani pravni život, Vol 65, br. 3, 2021, str. 361-374 (doi: 10.5937/spz65-33936). Na strani 361 tokom uređivačkog postupka ispuštena je fusnota. Fusnota bi trebalo da glasi: ** Rad predstavlja rezultat projekta Pravnog fakulteta Univerziteta u Beogradu „Epidemija. Pravo. Društvo“ za 2021. godinu. Ispravljena verzija članka objavljena je na sajtu časopisa: http://www.stranipravnizivot.rs/index.php/SPZ/article/view/837/802. Odgovornost zbog propusta leži isključivo na uredništvu časopisa, autor ne snosi nikakvu odgovornost. Uredništvo se izvinjava zbog propusta. &nbsp

On the possibility of using biological toxicity tests to monitor the work of wastewater treatment plants

The aim of this study was to ascertain the possibility of using biological toxicity tests to monitor influent and effluent wastewaters of wastewater treatment plants. The information obtained through these tests is used to prevent toxic pollutants from entering wastewater treatment plants and discharge of toxic pollutants into the recipient. Samples of wastewaters from the wastewater treatment plants of Kragujevac and Gornji Milanovac, as well as from the Lepenica and Despotovica Rivers immediately before and after the influx of wastewaters from the plants, were collected between October 2004 and June 2005. Used as the test organism in these tests was the zebrafish Brachydanio rerio Hamilton - Buchanon (Cyprinidae). The acute toxicity test of 96/h duration showed that the tested samples had a slight acutely toxic effect on B. rerio, except for the sample of influent wastewater into the Cvetojevac wastewater treatment plant, which had moderately acute toxicity, indicating that such water should be prevented from entering the system in order to eliminate its detrimental effect on the purification process

No evidence that priming analytic thinking reduces belief in conspiracy theories:A Registered Report of high-powered direct replications of Study 2 and Study 4 from Swami, Voracek, Stieger, Tran, and Furnham (2014)

Analytic thinking is reliably associated with lower belief in conspiracy theories. However, evidence for whether increasing analytic thinking can reduce belief in conspiracies is sparse. As an exception to this, Swami et al. (2014) showed that priming analytical thinking through a verbal fluency task (i.e., scrambled sentence task) or a processing fluency manipulation (i.e., difficult-to-read fonts) reduced belief in conspiracy theories. To probe the robustness of these effects, in this Registered Report, we present two highly powered (i.e., 95%) direct replications of two of the original studies (i.e., Studies 2 and 4). We found no evidence that priming analytic thinking through the scrambled sentence task (N = 302), nor the difficult-to-read fonts (N = 488) elicited more analytic thinking, nor reduced belief in conspiracy theories. This work highlights the need for further research to identify effective ways of inducing analytic thinking in order to gauge its potential causal impact on belief in conspiracies

Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior

Many network analysis and graph learning techniques are based on models of random walks which require to infer transition matrices that formalize the underlying stochastic process in an observed graph. For weighted graphs, it is common to estimate the entries of such transition matrices based on the relative weights of edges. However, we are often confronted with incomplete data, which turns the construction of the transition matrix based on a weighted graph into an inference problem. Moreover, we often have access to additional information, which capture topological constraints of the system, i.e. which edges in a weighted graph are (theoretically) possible and which are not, e.g. transportation networks, where we have access to passenger trajectories as well as the physical topology of connections, or a set of social interactions with the underlying social structure. Combining these two different sources of information to infer transition matrices is an open challenge, with implications on the downstream network analysis tasks. Addressing this issue, we show that including knowledge on such topological constraints can improve the inference of transition matrices, especially for small datasets. We derive an analytically tractable Bayesian method that uses repeated interactions and a topological prior to infer transition matrices data-efficiently. We compare it against commonly used frequentist and Bayesian approaches both in synthetic and real-world datasets, and we find that it recovers the transition probabilities with higher accuracy and that it is robust even in cases when the knowledge of the topological constraint is partial. Lastly, we show that this higher accuracy improves the results for downstream network analysis tasks like cluster detection and node ranking, which highlights the practical relevance of our method for analyses of various networked systems.Comment: 22 pages, 13 figure

Axial light emission and Ar metastable densities in a parallel plate dc micro discharge in steady state and transient regimes

Axial emission profiles in a parallel plate dc micro discharge (feedgas: argon; discharge gap d=1mm; pressure p=10Torr) were studied by means of time resolved imaging with a fast ICCD camera. Additionally, volt-ampere (V-A) characteristics were recorded and Ar* metastable densities were measured by tunable diode laser absorption spectroscopy (TDLAS). Axial emission profiles in the steady state regime are similar to corresponding profiles in standard size discharges (d=1cm, p=1Torr). For some discharge conditions relaxation oscillations are present when the micro discharge switches periodically between low current Townsend-like mode and normal glow. At the same time the axial emission profile shows transient behavior, starting with peak distribution at the anode, which gradually moves towards the cathode during the normal glow. The development of argon metastable densities highly correlates with the oscillating discharge current. Gas temperatures in the low current Townsend-like mode (T= 320-400K) and the high current glow mode (T=469-526K) were determined by the broadening of the recorded spectral profiles as a function of the discharge current.Comment: submitted to Plasma Sources Sci. Techno

Influenza A and B viruses in the population of Vojvodina, Serbia

At present, two influenza A viruses, H1N1pdm09 and H3N2, along with influenza B virus co-circulate in the human population, causing endemic and seasonal epidemic acute febrile respiratory infections, sometimes with life-threatening complications. Detection of influenza viruses in nasopharyngeal swab samples was done by real-time RT-PCR. There were 60.2% (53/88) positive samples in 2010/11, 63.4% (52/82) in 2011/12, and 49.9% (184/369) in 2012/13. Among the positive patients, influenza A viruses were predominant during the first two seasons, while influenza B type was more active during 2012/13. Subtyping of influenza A positive samples revealed the presence of A (H1N1)pdm09 in 2010/11, A (H3N2) in 2011/12, while in 2012/13, both subtypes were detected. The highest seroprevalence against influenza A was in the age-group 30-64, and against influenza B in adults aged 30-64 and >65. [Projekat Ministarstva nauke Republike Srbije, br. TR31084

Development of algorithm for risk assessment of mining equipment operations based on fuzzy algebra

Појава изненадних отказа елемената техничких система у рударству је свакодневна појава...Mining equipm ent failures are comm on and they occur on daily basis..