Learning from Wroclaw: How the City Benefits from Urban Resilience Enhancements
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Fatalities Associated with the Severe Weather Conditions in the Czech Republic, 2000–2019
Nat. Hazards Earth Syst. Sci., 21, 1355–1382, 2021 https://doi.org/10.5194/nhess-21-1355-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Fatalities associated with the severe weather conditions in the Czech Republic, 2000–2019 Rudolf Brázdil1,2, Katerinaˇ Chromá2, Lukáš Dolák1,2, Jan Rehoˇ rˇ1,2, Ladislava Rezníˇ ckovᡠ1,2, Pavel Zahradnícekˇ 2,3, and Petr Dobrovolný1,2 1Institute of Geography, Masaryk University, Brno, Czech Republic 2Global Change Research Institute, Czech Academy of Sciences, Brno, Czech Republic 3Czech Hydrometeorological Institute, Brno, Czech Republic Correspondence: Rudolf Brázdil ([email protected]) Received: 12 January 2021 – Discussion started: 21 January 2021 Revised: 25 March 2021 – Accepted: 26 March 2021 – Published: 4 May 2021 Abstract. This paper presents an analysis of fatalities at- with fatal accidents as well as a decrease in their percent- tributable to weather conditions in the Czech Republic dur- age in annual numbers of fatalities. The discussion of results ing the 2000–2019 period. The database of fatalities de- includes the problems of data uncertainty, comparison of dif- ployed contains information extracted from Právo, a lead- ferent data sources, and the broader context. ing daily newspaper, and Novinky.cz, its internet equivalent, supplemented by a number of other documentary sources. The analysis is performed for floods, windstorms, convective storms, rain, snow, glaze ice, frost, heat, and fog. For each 1 Introduction of them, the associated fatalities are investigated in terms of annual frequencies, trends, annual variation, spatial distribu- Natural disasters are accompanied not only by extensive ma- tion, cause, type, place, and time as well as the sex, age, and terial damage but also by great loss of human life, facts easily behaviour of casualties. -
Information Technology
Industry overview Information technology ear Reader, favorable geographic position, vast D It is my great pleasure to introduce you A consumer market, ample resources to our new publication about attractive sec- and high level of education – all these fac- tors of Ukraine, made in partnership with tors ensure great investment potential for Deloitte. the economy of Ukraine. We developed these brochures to make in- At present, Ukrainian market is at the devel- formation about sectors of Ukraine acces- opment stage. There are many niches and sible and easy to understand. The booklets opportunities for introducing new players provide analysis of economic attractiveness, and strengthening the positions of existing as well as comparative characteristics and ones. However, most of Ukraine’s indus- undiscovered opportunities. tries lack investments, though international investors are highly interested in them. We Ukraine enjoys a long industrial tradition, ro- believe that foreign investments will be very bust transportation and technical infrastruc- successful and promote economic growth if ture, rich natural resources, strong second- a favorable investment climate is created in ary and tertiary education, a broad network Ukraine. of research and development institutes, and a large pool of technically skilled labor. As a To assist you in determining the most prom- WTO member since 2008 and having signed ising areas to invest in and get an insight International Agreements for the Avoid- into Ukrainian market, Deloitte experts in ance of Double Taxation with 63 countries, cooperation with InvestUkraine have con- Ukraine is a fair player in the business world, ducted this research. a transparent and predictable partner. -
Big Analytics: Transforming Big Data Into Meaningful Information
By Serhiy Haziyev, VP of Software Architecture, SoftServe Big Analytics: Transforming Big Data into Meaningful Information Thanks to widely adopted smart devices and the proliferation of cloud computing and SaaS business models, there’s never been a time when more is known about the behaviors and habits of customers, employees, patients, and stakeholders. We’re creating and storing more data than ever about every conceivable aspect of business and leisure. These vast volumes of data are the outcome of ongoing advancements in computing and data warehousing technologies, driven by an ever increasing wired and online population. The result is Big Data. Big Data attracts great interest across organizations and industries because of its potential used to derive greater understanding of past and present events to predict the future and prescribe actions to create desired outcomes. But Big Data alone can’t achieve these things; having the data isn’t enough. This is where analytics enters the discussion. Analytics are mathematic and statistic models used to gain insights to past, present, and future events through the analysis of data. Similar to Big Data having marginal use as a standalone solution, analytics has marginal use until its advanced models are applied to volumes of data. Analytics feeds on large volumes of data to create highly insightful and reliable information. Big Data and Advanced Analytics need each other to achieve great things. Big Analytics: Transforming Big Data into Meaningful Information 1 The Power of Big Analytics Big Data and Advanced Analytics combine to form Big Analytics; capturing and transforming vast amounts of data into meaningful and highly useful information to create more impactful decisions, actions, and outcomes: Retail. -
Softserve Customer Story
Global technology company SoftServe makes the most of Dynamics 365 Sales in the cloud Headquartered in Ukraine and with offices across Europe, North America, and Asia, SoftServe implements end-to-end IT solutions for companies looking to optimize business processes. SoftServe constantly aims to make the most of Microsoft solutions, including Dynamics 365. It recently moved its on-premises customer relationship management (CRM) system to the cloud to benefit from the platform’s full range of capabilities and further streamline processes and collaboration. The company also integrated Dynamics 365 Sales with LinkedIn Sales Navigator to drive sales and deliver targeted insights to its customer-facing teams. Customer Customer profile Software and services SoftServe SoftServe advises on and Dynamics 365 Sales Website: softserveinc.com provides cutting-edge LinkedIn Sales Country: Ukraine technology to reveal, Navigator Industry: Professional transform, accelerate, and Services optimize the way enterprises Customer size: Large and software companies do (1,000 - 9,999 employees) business. Global technology company SoftServe makes the most of Dynamics 365 Sales in the cloud “80 percent of users Founded in 1993 in Lviv, Ukraine, SoftServe has grown into a global IT services company with more than 9,000 employees. As a member of the Microsoft Partner Network, it provides have seen a major Microsoft-enabled solutions to accompany businesses on their digital transformation. improvement in how At the same time, SoftServe keeps looking at how to make the most of its IT investments for its own business. Hence, it took its previous customer relationship management (CRM) system the platform performs to the next level by implementing the cloud version of Dynamics 365 Sales, making it not only overall.” available for its Sales team, but for other departments as well, empowering them with the same insights on each customer. -
New Gliwice Business and Education Centre, Poland
Smart strategies for the transition in coal intensive regions Project No: 836819 Fact Sheet: “New Gliwice” Business and Education Centre April 2020 Description “New Gliwice” Business and Education Center GAPR Ltd. is a revitalized complex of buildings of the former Gliwice Coal Mine, located a short distance from the city center, near the Gliwice – Sośnica junction connecting the A1 and A4 motorways, Drogowa Trasa Średnicowa (the Intercity Road) and exit from the A4 motorway to Rybnicka Street. It is a unique place in which restored buildings of the former mine are adjacent to modern headquarters of IT companies and advanced technology enterprises from industries such as electrical engineering, power engineering, telecommunications, aviation. New Gliwice Business and Education Center is a unique place that owes its “life” to the “Gliwice” Coal Mine. Two beautifully renovated brick buildings growing out of the ground at Bojkowska Street, which attract the eye from a distance, are the remains of the Gliwice mine from the first decade of the 20th century. It is hard to believe that today’s vibrant New Gliwice is a place where coal was once mined, miners prepared for work, and foremen handed out tasks. In the twentieth century, an important point on the economic map of Gliwice was a coal mine, which extracted coal in the southern part of the city called Trynek. Until 1945, the plant was called “Gliwitzer Grube”, and after that date KWK “Gliwice”. Construction of this mining plant started in 1901 by combining 16 adjacent mining fields, which belonged to William Suermondt and a group of entrepreneurs from the Rhineland. -
CEE IT Outsourcing Review 2010
Introduction ‘Central and Eastern Europe IT Outsourcing Review’ is a research project undertaken annually by the Central and Eastern European Outsourcing Association (CEEOA, www.ceeoa.org) since 2007. The main objectives of the research are to provide impartial and varied perspectives on the state of the market for IT outsourcing services in the CEE region; to provide potential clients with all the information needed to make decisions about outsourcing activities to the region; and to lower the barriers for entry into the CEE outsourcing services market. This year’s ‘CEE IT Outsourcing Review 2010’ was managed by the Ukrainian Hi-Tech Initiative (www.hi- tech.org.ua) with the support of other national outsourcing and software development associations from the Central and Eastern European (CEE) region, as well as CEEOA members. As part of the project a catalogue of IT outsourcing services providers in Central and Eastern Europe (ITOlist), located at www.itolist.eu, was created. The primary objective of the ITOlist.eu catalogue is to create an easy to search permanent, annually updated, regional catalogue of companies providing IT outsourcing services in the CEE region. Currently, the ITOlist.eu catalogue contains information on more than 200 companies. Visitors to the site can search companies on the list by four criteria, as well as by more than 250 technical and business categories in the advanced search field. Key Conclusions In 2009, the software development and IT outsourcing services provider industry in Central and Eastern Europe successfully overcame all of the challenges of the recession of 2008 and resumed its previous trajectory of growth. -
Palacky International Student Guide
International Student Guide www.study.upol.cz TABLE OF CONTENTS Welcome from the Rector of Palacký University ................................................................... 4 PART 1: CZECH REPUBLIC, OLOMOUC, PALACKÝ UNIVERSITY ................................................. 5 Introduction – the Czech Republic ......................................................................................... 7 Culture shock .......................................................................................................................... 9 Czech Republic – blame it all on the culture ........................................................................ 10 Must watch and must read .................................................................................................. 12 Why Olomouc? .................................................................................................................... 13 Palacký University Olomouc ................................................................................................. 14 PART 2: PRACTICAL INFO BEFORE YOU ARRIVE ..................................................................... 17 Applications, deadlines, programmes .................................................................................. 19 Visas ...................................................................................................................................... 19 Health insurance ................................................................................................................. -
12:01-18:00 18:01-24:00
Ważne od Valid from 15.12.2019 15th December 2019 do 14.03.2020 14th March 2020 objętych rezerwacją miejsc odjeżdżających ze stacji Zabrze ODJAZD POCIĄG DO STACJI Departure Train Destination 0:01-06:00 TLK 14102/3 Gliwice _ 15 16 14 00:25 WYSOCKI I Warszawa Wsch. - Gliwice 1) 41 11 12 =< 13 14 15 16 ` _ 17 =< 18 }= 19 21 22 311) 32 Ostrów Wielkopolski ) Poznań Główny I Kraków Gł. - Słupsk * I Przemyśl Gł. - Świnoujście I Przemyśl Gł. - Szczecin Gł. IC 38172/3 I Przemyśl Gł. - Słupsk *) Słupsk ) 01:17 PRZEMYŚLANIN * na stacji Poznań Gł. przełączenie wagonów do pociągu IC 78104/5 PRZEMYŚLANIN Szczecin Główny 1)wagon niedostępny w sprzedaży dla stacji Wronki, Szamotuły, Dobiegniew Świnoujście do stacji Szczecin Gł. Katowice 260 € 761 267 268 14 13 9 8 Kraków Główny ) ) 01:48 TLK 63170/1 Przemyśl Główny I Berlin Charl. - Przemyśl Gł. I Wrocław Gł. - Zagórz* I Wrocław Gł. - Krynica Zdrój* POGÓRZE Krynica Zdrój *) na stacji Kraków Gł. przełączenie wagonów do pociągu TLK 30171 POGÓRZE Zagórz od 07 I do 24 I 2020 na odc. Stróże - Zagórz kursuje Gliwice 14 13 9 8 268 267 € 761 260 TLK 36170/1 Lubliniec ) 02:29 POGÓRZE Wrocław Główny I Zagórz - Wrocław Gł. I Krynica Zdrój - Wrocław Gł. I Przemyśl Gł. - Berlin Charl.* Berlin Charlottenburg *) na stacji Wrocław Gł. przełączenie wagonów do pociągu EIC 47010/1 NIGHTJET Katowice 32 31 22 21 }= 19 =< 18 ` _ 17 16 15 14 =< 13 12 11 41 IC 83172/3 Kraków Główny 03:17 PRZEMYŚLANIN Rzeszów Główny I Szczecin Gł. - Przemyśl Gł. I Świnoujście - Przemyśl Gł. -
Andrzej Z Rakowski1 • S³awomira Pawe³czyk • Anna Pazdur Silesian University of Technology, Institute of Physics, Radiocarbon Laboratory, Ul
Changes of 14C Concentration in Modern Trees from Upper Silesia Region, Poland Item Type Proceedings; text Authors Rakowski, Andrzej Z.; Pawelczyk, Slawomica; Pazdur, Anna Citation Rakowski, A. Z., Pawełczyk, S., & Pazdur, A. (2001). Changes of 14C concentration in modern trees from Upper Silesia region, Poland. Radiocarbon, 43(2B), 679-689. DOI 10.1017/S0033822200041333 Publisher Department of Geosciences, The University of Arizona Journal Radiocarbon Rights Copyright © by the Arizona Board of Regents on behalf of the University of Arizona. All rights reserved. Download date 23/09/2021 18:43:23 Item License http://rightsstatements.org/vocab/InC/1.0/ Version Final published version Link to Item http://hdl.handle.net/10150/654462 CHANGES OF 14C CONCENTRATION IN MODERN TREES FROM UPPER SILESIA REGION, POLAND Andrzej Z Rakowski1 • S³awomira Pawe³czyk • Anna Pazdur Silesian University of Technology, Institute of Physics, Radiocarbon Laboratory, ul. Krzywoustego 2, 44-100 Gliwice, Poland ABSTRACT. Radiocarbon concentration measurements in tree rings from Upper Silesia indicate significantly lower 14C con- centration as compared to the concentrations occurring in “clean air” areas. This phenomenon is known as the Suess effect and is caused by contamination with inactive carbon that originates from fossil fuels combustion. This effect is observed in large urban and industrial areas. Samples for the measurements presented in the paper were collected in some of the largest cities in Upper Silesia: Gliwice, Ruda l¹ska, and Chorzów. The samples were annual tree rings (Populus nigra, Pinus silvestris) covering years 1965–1992 and the atmospheric CO2 collected weekly between December 1994 and December 1995. INTRODUCTION Increase of mining and combustion of fossil fuels like coal, petroleum, natural gas, etc. -
Bat Casualties by Road Traffic (Brno-Vienna)
Acta Theriologica 54 (2): 147–155, 2009. PL ISSN 0001–7051 Bat casualties by road traffic (Brno-Vienna) Jiøí GAISLER, Zdenìk ØEHÁK and Tomáš BARTONIÈKA Gaisler J., Øehák Z. and Bartonièka T. 2009. Bat casualties by road traffic (Brno-Vienna). Acta Theriologica 54: 147–155. We studied the impact of road E461, Brno-Vienna, on bat mortality, with the goal to predict this impact after the road has been reconstructed and turned into highway, R52. In the Czech territory, two proposed road sections of E461 were selected, 3.5 and 4.5 km long, and divided into segments 100 m in length. Bat carcasses were picked up from emergency stopping lanes, and bat activity was recorded by ultrasound detectors along the road and 100 m away on both sides from the central strip. From May to October 2007, 25 checks of bat mortality performed at weekly intervals revealed 119 bat car- casses representing 11 or 12 species. Pipistrellus nathusii, P. pygmaeus and Myotis daubentonii were the most frequent traffic casualties. The greatest mortality was documented from early July to mid-October, with a peak in September. Monitoring bat activity by ultrasound detectors (one night per month in May, June and September) yielded 12 bat species and 3 spe- cies couples (Myotis mystacinus/brandtii, M. emarginatus/alcathoe, Plecotus auritus/austriacus), mostly the same taxa as found dead on the road. Signifi- cantly greater bat numbers were revealed in the section where the road was situated between two artificial lakes, as compared to a road section without any lakes directly adjacent to the road. -
ZAŁĄCZNIK NR 10 Do Procedury
ZAŁĄCZNIK NR 10 do Procedury Wykaz tras modelowych w związku z realizacją zamknięć torowych na linii kolejowej nr 273 w następujących lokalizacjach (zmiana nr 9 z ważnością od 15.03.2020 r.): 1) Brzeg Dolny – Wołów – Małowice Wołowskie – Ścinawa – Chełmek Wołowski – Rudna Gwizdanów, Grębocice - Krzepów – Głogów oraz Wróblin Głogowski - Czerna Długość Numer Stacja Stacja końcowa Stacje pośrednie trasy trasy początkowa [km] 273.01 Brzeg Świnoujście Oława, Wrocław Brochów, Głogów, Czerwieńsk, Kostrzyn Towarowy, Goleniów 492,520 273.02 Brzeg Dolny Rzepin Wróblin Głogowski, Czerwieńsk Towarowy 193,160 Szczecin Port 273.03 Chałupki Racibórz, Zdzieszowice, Brzeg, Brzeg Dolny, Czerwieńsk Towarowy, Kostrzyn Towarowy 531,392 Centralny Dąbrowa Zielona Góra, Nowa Sól, Głogów, Rudna Gwizdanów, Wołów, Święta Katarzyna, Opole Główne, 273.04 Czerwieńsk Górnicza Zdzieszowice, Rudziniec Gliwicki, Zabrze Makoszowy, Panewnik, Stawiska, Sosnowiec Dańdówka, 392,677 Towarowa Dąbrowa Górnicza Wsch. Zielona Góra, Nowa Sól, Głogów, Rudna Gwizdanów, Wołów, Święta Katarzyna, Opole Główne, 273.05 Czerwieńsk Gliwice 319,937 Strzelce Opolskie, Gliwice Łabędy Kędzierzyn 273.06 Czerwieńsk Głogów, Wrocław Brochów, Jelcz Miłoszyce, Opole Wschodnie, Zdzieszowice 299,749 Koźle Opole Główne 273.07 Czerwieńsk Zielona Góra, Nowa Sól, Głogów, Rudna Gwizdanów, Wołów, Święta Katarzyna, Opole Gł. 250,459 Towarowe Opole 273.08 Czerwieńsk Głogów, Wrocław Brochów, Jelcz Miłoszyce 254,175 Wschodnie Ruda Głogów, Wrocław Brochów, Jelcz Miłoszyce, Opole Wschodnie, Toszek, Pyskowice, Gliwice, -
Silesia, Poland - Regional Profile 1
SILESIA, POLAND - REGIONAL PROFILE 1 REGIONAL PROFILE Silesia GENERAL INFORMATION Country: Poland Region Name: Silesia Region NUTS2 code*: PL22 - Silesia Region NUTS3 code PL22A - Katowicki / PL228 Bytomski PL229 - Gliwicki / PL227 - Rybnicki PL22B - Sosnowiecki / PL22C - Tyski Main urban centres in the region (by population): Katowice - 294,510 / Częstochowa - 222,292 Sosnowiec - 202,036 / Gliwice - 179,806 Zabrze - 173,374 / Bielsko-Biała - 171,259 Bytom - 166,795 / Rybnik - 138,696 Ruda Śląska - 138,000 / Tychy - 127,831 *NUTS: Nomenclature of Territorial Units for Statistics NOTICE ON COVID-19 The data contained within this regional profile was primarily gathered prior to the COVID-19 pandemic. It is recognised that the pandemic has had an adverse impact on energy demand. Although the consequences and implications are significant, they remain emergent and dynamic. An update to this document should be considered, once these consequences and implications are clearer and more quantifiable. INITIATIVE FOR COAL REGIONS IN TRANSITION SILESIA, POLAND - REGIONAL PROFILE 2 Overview Silesia is the most populated and urbanised region in Poland with over 4.5 million inhabitants. 78% of its population live in cities and its population density is 370 people/km2. The region comprises of eight NUTS-3 subregions, out of which six are notably affected by coal mining and related industries. The communities where the majority of the miners live are located in central and western subregions - namely Katowicki subregion, Bytomski subregion, Gliwicki subregion, Rybnicki subregion, Sosnowiecki subregion, and Tyski subregion. Silesia is the most coal-dependent region in Poland with mining playing an important role in the regional economy. However, its gradual decline in recent years is also apparent as production is declining in view of falling productivity and low profitability.