Solar exposure of streets and parking spaces in dense urban areas varies significantly due to the infrastructure: buildings, parks, tunnels, multistorey car parks. This variability leaves space for both real-time and offline route and parking optimization for solar-powered vehicles. In this chapter we present Solar Car Optimized Route Estimation (SCORE), our optimization system based on historic and current solar radiance measurements. In addition to the comprehensive review of SCORE, we offer a new perspective on it by embedding it in the bigger picture of smart cities (SC): we analyze SCORE's relationship with the smart power generation and distribution systems (smart grid), novel transportation paradigms and communication advancements. While the previous work on SCORE was focused on technical challenges which are described in the first part of this chapter (optimization, communication, sensor data collection and fusion), here we proceed with a systemic approach and observe a SCORE-equipped unit in the near-future society, examine the sustainability of the model and possible business models based on it. We consider the problem of vehicle routing and congestion avoidance using incentives for users on non-critical journeys and co-existence of SCORE and non-SCORE using vehicles. Realistic pointers for SCORE-aware design of infrastructure are also given, both for improved data collection and improved solar exposure while considering trade-offs for non-SCORE users.

: The implementation of the fourth industrial revolution Industry 4.0 is based on the following technologies: internet of tings , cloud computing, big data, robotics & automation, intelligent sensors, 3D printers and radio frequency identification – RFID. The robotics is considered as the core technology. Second-generation industrial robots – collaborative robots have been implemented in the last two years. Their implementation is increasing every year and has reached about 3% of the total application of industrial robots in the world. The development of new technologies has contributed to the development and implementation of collaborative service robots AGV (Automated Guided Vehicle), which is one of the most significant qualitative shifts in the automation of logistic in production processes, assembly lines, warehouses and all other operations where transport is necessary. Their application is motivated by technical and economic reasons, such as: improving the quality of finished products, reducing the production of the finished product, increasing the homogeneity rate - constant quality, reducing the number of workers to carry out tedious transport, increasing the safety of workers in the work process, minimizing production costs and overall maintenance. The paper describes the trend of implementing service robots for professional use, with particular reference to collaborative service robots in logistics. Some design solutions for collaborative service robots in logistics already implemented in the industry are presented.

When planning oil wells with stainless steel components, two possible reasons for depassivation have to be considered—chemical depassivation caused by acidizing jobs and mechanical depassivation caused by various tools and hard particles. The study explores conditions causing chemical activation of investigated steels and circumstances under which repassivation occurs after activation. The main focus of the study is to determine, how quickly various steels can repassivate under different conditions and to find pH values where repassivation will occur after depassivation. The investigated steels were ferritic (martensitic or bainitic) in the cases of 13Cr, 13Cr6Ni2Mo, and 17Cr4Ni2Mo, austenitic in the case of 17Cr12Ni2Mo, and duplex (austenitic and ferritic) in the case of 22Cr5Ni3Mo. Potentiodynamic experiments were employed to obtain electrochemical properties of investigated steels, followed by immersion tests to find ultimate conditions, where the steels still retain their passivity. After obtaining this information, scratch tests were performed to study the repassivation kinetics. It was found that repassivation times are similar for nearly all investigated steels independent of their chemical composition and microstructure.

Although uncertainty avoidance is identified as an important concept for understanding intrapreneurial intentions, empirical findings have not been consistent in portraying a broader picture of how uncertainty avoidance shapes intrapreneurial intentions. This study bridges this gap through a four-level conceptual model of the role of uncertainty avoidance in the formation of employees’ intrapreneurial intentions, differentiating among unit- and country-level uncertainty avoidance. Using the established relationship between behavioral control and intentions, we consider how employee creativity and self-efficacy influence intrapreneurial intentions. Following the person-environment fit paradigm and the resulting fit traditions of complementarity and supplementarity, we narrow in on how these processes operate within specific (stimulating or inhibiting) cultural settings in terms of uncertainty avoidance at both the unit and country levels. Using data from 787 employees on the first level nested into 73 units on the second level, 19 organizations on the third level, and eight countries on the fourth level, study shows evidence for a beneficial interplay between unit-level uncertainty avoidance and creativity or self-efficacy when there is a supplementary or complementarity fit. The interplay between behavioral and contextual factors is negative, however, when neither type of fit applies. Finally, country-level uncertainty avoidance seems to be irrelevant to intrapreneurial intentions.

Growing popularity of recreational skiing and snowboarding in this region has directed this corpus-based study towards getting an insight into standardization requirements of the ski register in Serbian within the framework of today’s angloglobalized world of sport. The corpus consists of 292 ski terms in English and Serbian. After a brief overview of the creation of ski terms, the paper deals with a contrastive analysis of the corpus from the aspect of adaptation of English terms into the system of Serbian at the level of form, i.e. respelling and at the level of content, i.e. translation. Guided by the results of this analysis, the following sections deal with the requirements related to the standardization of ski terms in Serbian. 

Tumor DNA sequencing data can be interpreted by computational methods that analyze genomic heterogeneity to infer evolutionary dynamics. A growing number of studies have used these approaches to link cancer evolution with clinical progression and response to therapy. Although the inference of tumor phylogenies is rapidly becoming standard practice in cancer genome analyses, standards for evaluating them are lacking. To address this need, we systematically assess methods for reconstructing tumor subclonality. First, we elucidate the main algorithmic problems in subclonal reconstruction and develop quantitative metrics for evaluating them. Then we simulate realistic tumor genomes that harbor all known clonal and subclonal mutation types and processes. Finally, we benchmark 580 tumor reconstructions, varying tumor read depth, tumor type and somatic variant detection. Our analysis provides a baseline for the establishment of gold-standard methods to analyze tumor heterogeneity. Methods for reconstructing tumor evolution are benchmarked in the DREAM Somatic Mutation Calling Tumour Heterogeneity Challenge.

Alepski bor (Pinus halepensis Mill.) se koristio u pošumljavanju krša šibenske regije od sredine 19. stoljeća, te se zbog toga ova vrsta često javlja u ranije zasnovanim parkovima. Upravo zbog poznatih dekorativnih karakteristika, te kulturološke vrijednosti, cilj rada je izvršiti inventarizaciju i predočiti estetsku ocjenu zelenih površina s alepskim borom. U tu svrhu provedena je taksonomska analiza vrsta na zelenim površinama s alepskim borom. Florističko i anketno istraživanje je provedeno tijekom 2013. godine na području grada Šibenika. S obzirom na tip habitusa po Erhardtu i sur., 2002. dominiraju grmolike forme i alohtone dendrološke svojte. Temeljem rezultata istraživanja vizualnog dojma „geštalta”, putem anketnog ispitivanja, zaključak je da ispitanici ugodno doživljavaju parkovne prostore s alepskim borom.

Avelumab, an anti–programmed death‐ligand 1 monoclonal antibody approved for the treatment of metastatic Merkel cell carcinoma and platinum‐treated urothelial carcinoma, was initially approved with a 10 mg/kg weight‐based dose. We report pharmacokinetic (PK)/pharmacodynamic analyses for avelumab comparing weight‐based dosing and a flat 800 mg dose, developed using data from 1,827 patients enrolled in 3 clinical trials (NCT01772004, NCT01943461, and NCT02155647). PK metrics were simulated for weight‐based and flat‐dosing regimens and summarized by quartiles of weight. Derived exposure metrics were used in simulations of exposure‐safety (various tumors) and exposure‐efficacy (objective responses; Merkel cell or urothelial carcinoma). Flat dosing was predicted to provide similar exposure to weight‐based dosing, with slightly lower variability. Exposure‐safety and exposure‐efficacy simulations suggested similar benefit:risk profiles for the two dosing regimens. These pharmacometric analyses provided the basis for the US Food and Drug Administration approval of a flat dose of avelumab 800 mg every 2 weeks in approved indications.