Multi-channel system for remote power quality monitoring of electricity supplied by public distribution networks

Peer Reviewe

Experimental and artificial neural network approach for forecasting of traffic air pollution in urban areas: The case of subotica

In the recent years, artificial neural networks have been used to predict the concentrations of various gaseous pollutants in ambient air, mainly to forecast mean daily particle concentrations. The data on traffic air pollution, irrespective of whether they are obtained by measuring or modeling, represent an important starting point for planning effective measures to improve air quality in urban areas. The aim of this study was to develop a mathematical model for predicting daily concentrations of air pollution caused by the traffic in urban areas. For the model development, experimental data have been collected for 10 months, covering all four seasons. The data about hourly concentration levels of suspended particles with aerodynamic diameter less than 10 μm (PM10) and meteorological data (temperature, air humidity, speed and direction of wind), measured at the measuring station in the town of Subotica from June 2008 to March 2009, served as the basis for developing an artificial neural networks based model for forecasting mean daily concentrations of PM10

Procena nedeljnog unosa žive preko konzumiranja ribe u srpskoj populaciji

Zahvaljujući sadržaju visoko kvalitetnih proteina, vitamina, makro i mikroelemenata, kao i omega-3 polinezasićenih masnih kiselina, riba predstavlja značajnu namirnicu u ishrani ljudi. Međutim, povećanim unosom ribe unosi se i veća količina kontaminanata, posebno žive. Koncentracija žive određivana je u mišićnom tkivu riba koje imaju veliku zastupljenost u ishrani stanovništva Srbije – osliću, skuši, šaranu i pastrmci, kao i u proizvodima od tune. Svi ispitani uzorci sadrže živu ispod maksimalno dozvoljene količine regulisane evropskim i srpskim regulativama. Procenjeni nedeljni unos žive preko konzumirane ribe, ispod je preporučenog maksimalnog limita Svetske zdravstvene organizacije

Živa u različitim vrstama morskih riba na srpskom tržištu

Proučavanje žive (Hg) u marinskim sistemima je od velikog interesa, s obzirom da je reč o toksičnom metalu koji ima sposobnost bioakumulacije i biomagnifikacije u lancu ishrane. Vodeni sistemi, a time i ribe, mogu biti kontaminirani živom kao posledicom zagađenja životne sredine prirodnim procesima (vulkanske erupcije, klimatske promene itd.) i antropogenim izvorima zagađenja (industrija, rudarstvo itd.). Živa (Hg) može postojati kao elementarna, neorganska i organska živa. Najtoksičniji oblik žive je metil živa (MetHg) koja čini od 70-100% ukupne Hg u ribi. Naučna ispitivanja ukazuju da velike količine žive u hrani mogu negativno uticati na razvoj fetusa i izazvati oštećenja mozga i jetre. Cilj ovog rada bio je ispitivanje sadržaja žive u jestivim delovima tri vrste morske ribe na tržištu Srbije: oslić - Merluccius merluccius (n=84), skuša - Scomber scombrus (n=35) i papalina - Sprattus sprattus (n=17)). Prosečna potrošnja ribe u Srbiji iznosi oko 5 kg po glavi stanovnika, što je znatno niže u poređenju sa EU prosekom (21 kg po glavi stanovnika). Svi uzorci uzeti su i analizirani tokom 2014. godine. Analiza sadržaja žive urađena je primenom induktivno-kuplovane plazme sa masenom spektrometrijom (ICP-MS), merenjem izotopa 202Hg. Najviša srednja vrednost sadržaja žive utvrđena je u uzorcima skuše (0,056 mg/kg), zatim kod oslića (0,034 mg/kg), a najniža kod papaline (0,016 mg/kg). Maksimalno dozvoljene količine Hg u ispitanim ribama, koje su definisane zakonskom regulativom Srbije [MDK (oslić, papalina) = 500 ng/g, MDK (skuša) = 1000 ng/g] nisu prekoračene u svim ispitanim uzorcima. Statističkom evaluacijom dobijenih rezultata ustanovljeno je da postoji statistički zanačajna razlika (p<0,005) u sadržaju Hg između oslića i skuše, kao i između skuše i papaline. Za procenu unosa Hg konzumiranjem ribe korišćeni su podaci iz „GEMS/Food Consumption Cluster Diets database“. Prema ovom izvoru, procenjena prosečna nedeljna potrošnja morske ribe u Srbiji iznosi 106,4 g. Koristeći podatke iz ove studije izračunat je nedeljni unos Hg, baziran na srednjoj vrednosti sadržaja Hg u konzumiranoj ribi i prosečnoj telesnoj težini čoveka od 70 kg. Na osnovu izračunatih vrednosti za nedeljni unos Hg (oslić: 0,051-0,208 µg/kg telesne težine; skuša: 0,086-0,289 µg/kg telesne težine; papalina: 0,025-0,050 µg/kg telesne težine) može se zaključiti da je unos žive pri konzumaciji oslića, skuše i papaline znatno niži od preporučenih graničnih vrednosti svetske zdravstvene organizacije (1,6 µg MetHg /kg telesne težine)

How real-world data can facilitate the development of precision medicine treatment in psychiatry

Precision medicine has the ambition to improve treatment response and clinical outcomes through patient stratification, and holds great potential in mental disorders. However, several important factors are needed to transform current practice into a “precision psychiatry” framework. Most important are (1) the generation of accessible large real-world training and test data including genomic data integrated from multiple sources, (2) the development and validation of advanced analytical tools for stratification and prediction, and (3) the development of clinically useful management platforms for patient monitoring that can be integrated into healthcare systems in real-life settings. This narrative review summarizes strategies for obtaining the key elements – well-powered samples from large biobanks, integrated with electronic health records and health registry data using novel artificial intelligence algorithms – to predict outcomes in severe mental disorders and translate these models into clinical management and treatment approaches. Key elements are massive mental health data and novel artificial intelligence algorithms. For the clinical translation of these strategies, we discuss a precision medicine platform for improved management of mental disorders. We include use cases to illustrate how precision medicine interventions could be brought into psychiatry to improve the clinical outcomes of mental disorders

Multi-channel system for remote power quality monitoring of electricity supplied by public distribution networks

Peer Reviewe

Treatment of Infected Pseudoaneurysm of Femoral Artery after Vascular Closure Device Deployment: A Practical Solution

Like other invasive procedures, percutaneous coronary interventions are associated with complications. Most common access site for these procedures is common femoral artery. Complications such as groin and retroperitoneal hematoma can be encountered as well as pseudoaneurysms, arteriovenous fistulas, acute arterial occlusion, and infection. When infected pseudoaneurysm occurs, surgical treatment can be extremely difficult. We present a case of the patient in whom infected pseudoaneurysm of common femoral artery developed after percutaneous coronary intervention and was successfully treated by surgical excision and autoarterial graft insertion