The conditions of globalization often dictate the functioning of transport markets, so it is necessary to conduct frequent research in order to achieve sustainable business. This is achieved through adequate risk and safety management at all levels. The research carried out in this paper includes determining the state of railway traffic safety in a total of nine railway sections in Bosnia and Herzegovina (B&H). The aim of this paper is to develop a new integrated Entropy-Fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment)-DEA (Data Envelopment Analysis) model for determining the state of safety in B&H under particular conditions of uncertainty. Additionally, the aim is to combine the advantages of linear programming (DEA), an objective method (Entropy), and a subjective method (Fuzzy PIPRECIA). In this way, an integrated objective–subjective model is created that provides accurate and balanced decision-making through their integration. Eleven sustainable criteria were defined and divided into six inputs and five outputs. The Entropy model was used to determine the weight values of the inputs, while due to the nature of the outputs, Fuzzy PIPRECIA was used to evaluate them. After the application of the two methods, the way of averaging their values was defined. The DEA model, which implies an input- and output-oriented model, was applied to determine which railway sections have satisfactory performance in terms of safety. Two sections were eliminated from further computation due to extremely poor performance and high risk. Then, the weighted overall efficiency ranking method was applied to determine the final ranking of the railway sections. The results obtained were verified through a sensitivity analysis, which involved changing the impact of the five most significant criteria and a comparison with two Multi-Criteria Decision-Making (MCDM) methods.

S obzirom na to da je šumarstvo djelatnost u kojoj su radnici izloženi relativno velikom stepenu opasnosti od nastanka povreda i profesionalnih oboljenja, ova pojava zahtijeva poseban pristup u segmentu zaštite na radu. Učestalost pojavljivanja povreda i profesionalnih oboljenja u šumarstvu dobar su pokazatelj nivoa sigurnosti radnika pri radu. Iz tog razloga se kroz analizu povreda na radu u JP ŠPD „Unskosanske šume” d.o.o. Bosanska Krupa nastojalo steći uvid u stanje sigurnosti na radu. Analiziran je period od 10 godina (2010–2019) i u tom periodu je evidentirano 213 povreda za cijelo preduzeće. Analiza povreda je obavljena po godinama i mjesecima, prema mjestu nastanka, prema radnom mjestu, prema materijalnom izvoru povrede, prema starosnoj dobi radnika, prema povrijeđenom dijelu tijela, itd. Na osnovu broja povreda po zapremini izrađenoga drveta (43/mil.m3), stanje sigurnosti pri radu može se ocijeniti kao zadovoljavajuće. Najzastupljenije su povrede ekstremiteta (64%), zatim, povrede su češće početkom radne sedmice (26,3%). Najčešći uzrok povrede bio je izazvan padom (62%). Analiza broja povreda po godinama u analiziranom periodu pokazuje da se ističu 2018, a naročito 2019. godina, što se može povezati sa trendom povećanja obima poslova u vlastitoj režiji. Takođe, analiza je pokazala da se najviše povreda desi u ljetnim mjesecima. Prema analizi koja se odnosi na invalide rada, ustanovljeno je da većina registrovanih invalida rada u preduzeću spada u invalide druge kategorije. Invalidi rada čine čak 10,36% ukupne radne snage. Za skoro 80% invalida rada kao glavni uzrok invalidnosti navedena je bolest, tj. razne zdravstvene tegobe koje su smanjile njihovu radnu sposobnost. Samo dvojica radnika su invalidi zbog profesionalnog oboljenja, što je veoma ohrabrujući podatak. Bez obzira na značajan tehnološki napredak i razvoj, posao u šumarstvu se još uvijek smatra jednim od najopasnijih zanimanja na svijetu.

e.harbinja@aston.ac.uk #online harms, duty of care, platform regulation, online safety This article critiques key proposals of the United Kingdom’s “Online Harms” White Paper; in particular, the proposal for new digital regulator and the imposition of a “duty of care” on platforms. While acknowledging that a duty of care, backed up by sanctions works well in some environments, we argue is not appropriate for policing the White Paper’s identified harms as it could result in the blocking of legal, subjectively harmful content. Furthermore, the proposed regulator lacks the necessary independence and could be subjected to political interference. We conclude that the imposition of a duty of care will result in an unacceptable chilling effect on free expression, resulting in a draconian regulatory environment for platforms, with users’ digital rights adversely affected. Content Not Available

Idiopathic multicentric Castleman disease (iMCD) is a rare immunologic disorder characterized by systemic inflammation, multicentric lymphadenopathy, and organ dysfunction. Enlarged lymph nodes demonstrate a spectrum of characteristic but variable histopathologic features historically categorized into hyaline vascular (HV) (or hypervascular [HyperV] more recently), plasmacytic, or “mixed.” Though the etiology is unknown, a pro‐inflammatory cytokine storm, often involving interleukin‐6 (IL‐6), contributes to pathogenesis. Anti‐IL‐6 therapy with siltuximab is the only FDA‐ or EMA‐approved treatment based on efficacy and safety in multiple studies. Importantly, no patients considered to have HV histopathology achieved the primary endpoint in the Phase II study. NCCN currently recommends siltuximab first‐line for iMCD, except for patients considered to have HV histopathology. We investigated whether histopathologic subtype should guide siltuximab treatment decisions. Secondary analyses of clinical trial and real‐world data revealed similar clinical benefit across histopathologic subtypes. Notably, only 18 of 79 patients in the Phase II study were consistently classified into histopathologic subtype by three independent review panels, demonstrating limited reliability to guide treatment decisions. Real‐world data further demonstrate siltuximab's effectiveness in patients considered to have HV (or HyperV). Though histopathology is a critical component for diagnosis, there is insufficient evidence to guide treatment based solely on lymph node histopathologic subtype.

BACKGROUND Volatile organic compounds are present at very low concentration, but exhibit important influence on flavor and aroma of tobacco leaves and products. During tobacco processing, at different stages, tobacco wastes are occurred. Since they are delivered directly from tobacco plant, they are expected to have similar aroma profile. RESULTS The volatile composition of 3 types of tobacco waste (scrap, dust and midrib) was characterized for the first time and compared with tobacco leaves volatile composition. Ultrasound-assisted extraction (UAE) with hexane followed by gas chromatography and mass spectrometry (GC-MS) was successfully applied. Different UAE parameters (temperature, time and solvent-solid ratio) showed significant influence on the volatile profiles of obtained extracts. The most important compounds in tobacco leaves, scrap and dust with the highest abundance were nicotine (up to 87.5%), 4,8,13-duvatriene-1,3-diol (up to 16.2%) and neophytadiene (up to 9.4%). In midrib only nicotine was present in all extracts. The most abundant compounds in the extracts were quantified and subjected to optimization, using response surface methodology (RSM). CONCLUSION Regression analysis showed that 83-98% of the variation was explained by the obtained models. The experimentally obtained values agreed with those predicted, thus indicating suitability of the model employed and the success of RSM in optimizing of the extraction conditions. This article is protected by copyright. All rights reserved.

Storage of large quantities of industrial by-products can pose a serious environmental problem. There is a growing need to recycle these industrial by-products, including red mud, in the construction industry, which is one of the largest consumers of raw materials. A preliminary study of the potential of red mud as a raw material for concrete is presented in this paper. Chemical composition of red mud, determined by X-ray fluorescence and particle size distribution by laser diffraction, is tested as part of its initial evaluation. The reactivity of red mud is evaluated by the R3 test method with isothermal calorimetry. The compressive strength test is carried out on a mortar sample in which 30% by weight of cement is replaced by red mud. Preliminary tests indicate that red mud can be used as raw material in alternative binders.

While metasurface-based intelligent reflecting surfaces (IRS) are an important emerging technology for future generations of wireless connectivity in its own right, plans for the mass deployment of these surfaces motivate the question of their integration with other new and emerging technologies that would require such widespread deployment. This question of integration and the vision of future communication systems as an invaluable component for public health motivated our new concept of Intelligent Reflector-Viral Detectors (IR-VD). In this novel scheme, we propose deployment of intelligent reflectors with strips of receptor-based viral detectors placed between the reflective surface tiles. Our proposed approach encodes information of the presence of the virus by flicking the angle of the reflected beams, using time variations between the beam deviations to represent the messages. This information includes the presence of the virus, its location and load size. The article presents simulations to demonstrate the encoding process that represents the number of virus particles that have bound to the IR-VD.

A practical compound of education in computer science and electrical engineering, driven by increased availability and maturity of many emerging technologies, should be enriched by various laboratory resources in order to synchronize the paces between technology advancements and education. In particular, advancements in containerization as a virtualization technique pave the way towards allowing students to deploy their project applications with a lightweight resource footprint on top of the cloud. Being backed by a valuable feedback from 45 Bachelor students, in this paper we present the best practices on how virtualization can be leveraged to create a scalable environment for on-demand remote experimentation with distributed systems.