915 research outputs found
Max Baucus and Aleksandr Solzhenitsyn
No full textRepresentative Max Baucus shaking hands with Russian author Aleksandr Solzhenitsyn.https://scholarworks.umt.edu/baucus_photographs/1029/thumbnail.jp
Construction 3D printing
No full textThe purpose of the Bachelor's thesis was to start study in the sphere of the construction 3D printing for university, to begin to analyse the topic and to present relevant data for other authors who could continue to study 3D construction printing area. The research constituent of the thesis comprises comparison of large-scale 3D-printers (construction 3D-printers) to small-scale ones (ceramic 3D-printers).
The first part of the thesis comprises a description of the process of 3D printing, in this section the author shows companies and real models produced with ceramic 3D printers, their specifications, and performance. Information on prices and technical characteristics were gathered from the official websites of producers.
The second part of the thesis comprises a description of methodology of additive production for small-scale 3D printers. 3D printing was taken as example by the author because it bears much resemblance to the concrete 3D printing. Various key methods were collected and described based on data from other publicly available research articles and reports.
The third part of the thesis contains practical issues and difficulties of construction 3D printing. 3D printing is known by its several benefits over standard methods. The author`s main point was to demonstrate the advantages and findings obtained from real projects. This section describes the major manufacturers and construction 3D printers. Also, this part contains the analysis of the workflow and various kinds of 3D printers.
The outcome of the thesis deciding on the selection of construction 3D printing technology based the results of a comparative analysis of small-scale and large-scale construction 3D printing
Polish features in the Aleksandr Solzhenitsyn’s writing
No full textPoland and Polish people are shown in the Aleksandr Solzhenitsyn’s writing in the context
of complicated Polish-Russian relations. In Repentance and Self-limitation the author criticises Polish nation for being unable to repent and admit making mistakes in the past in a historical context. At the same time he claims that Russians have a natural ability to repentance, that is a condition of a moral renewal of a nation. Nevertheless, the overall picture of the Polish nation in Solzhenitsyn’s writing is positive. This Russian Nobel prize winner highlights Polish courage, pride and their undeterred struggle for freedom. In The Gulag Archipelago the author eternalises a Polish scientist named Jerzy Wegierski, a prisoner of a forced labour camp, who had been Solzhenitsyn’s friend till his death. It is also very important to highlight Solzhenitsyn’s respect and attitude toward the Pope John Paul II. The article is an attempt to recall and analyse Polish features in the Aleksandr Solzhenitsyn’s writing
360 USER PROFILE LEARNING FROM MULTIPLE SOCIAL NETWORKS FOR WELLNESS AND URBAN MOBILITY APPLICATIONS
No full textPh.DDOCTOR OF PHILOSOPH
Śmierć jako problem życia: Jurij Łotman, Rolandas Pavilionis, Aleksandr Piatigorskij
No full textRegina Čičinskajte
University of Vilnius, Lithuania
[email protected]
ŚMIERĆ JAKO PROBLEM ŻYCIA:JURIJ ŁOTMAN, ROLANDAS PAVILIONIS, ALEKSANDR PIATIGORSKIJ
Streszczenie
Autorka świadoma odrębności myślenia filozofa i filologa analizuje temat śmierci w dziełach Jurija Łotmana, Rolandasa Pavilionisa oraz Aleksandra Piatigorskiego. Podkreśla, że zaistniał on w pracach wymienionych autorów bez religijnego podtekstu, w wymiarze czysto fenomenologicznym. Artykuł poszerzony został o refleksje na tytułowy temat z twórczości Władysława Chodasiewicza, Anny Achmatowej oraz Meraba Mamardaszwili.
DEATH AS A PROBLEM OF LIFE:YURI LOTMAN, ROLANDAS PAVILIONIS, ALEKSANDR PIATIGORSKY
Summary
Aware of the distinctiveness of the thinking of the philosopher and the philologist, the author has extracted the theme of death from the texts of Yuri Lotman, Rolandas Pavilionis, Aleksandr Piatigorsky, emphasizing that it has appeared in the works of these writers without any religious background, in the purely phenomenological dimension. The article is broadened with reflections on the works concerning the title theme authored by Vladislav Khodasevich, Anna Akhmatova and Merab Mamardaszvili.
Understanding Economic and Health Factors Impacting the Spread of COVID-19 Disease
No full textAbstract Background The rapid spread of the Coronavirus 2019 disease (COVID-19) had drastically impacted life all over the world. While some economies are actively recovering from this pestilence, others are experiencing fast and consistent disease spread, compelling governments to impose social distancing measures that have put a halt on routines, especially in densely populated areas. Objective Aiming at bringing more light on key economic and population health factors affecting the disease spread, this initial study utilizes a quantitative statistical analysis based on the most recent publicly available COVID-19 datasets. Methods We have applied Pearson Correlation Analysis and Clustering Analysis (X-Means Clustering) techniques on the data obtained by combining multiple datasets related to country economics, medical system & health, and COVID-19 - related statistics. The resulting dataset consisted of COVID-19 Case and Mortality Rates, Economic Statistics, and Population Public Health Statistics for 165 countries reported between 22 January 2020 and 28 March 2020. The correlation analysis was conducted with the significance level α of 0.05. The clustering analysis was guided by the value of Bayesian Information Criterion (BIC) with the bin value b = 1.0 and the cutoff factor c = 0.5, and have provided a stable split into four country-level clusters. Results The study showed and explained multiple significant relationships between the COVID-19 data and other country-level statistics. We also identified and statistically profiled four major country-level clusters with relation to different aspects of COVID-19 development and country-level economic and health indicators. Specifically, this study identified potential COVID-19 under-reporting traits, as well as various economic factors that impact COVID-19 Diagnosis, Reporting, and Treatment. Based on the country clusters, we also described the four disease development scenarios, which are tightly knit to country-level economic and population health factors. Finally, we highlighted the potential limitation of reporting and measuring COVID-19 and provided recommendations on further in-depth quantitative research. Conclusions In this study, we first identified possible COVID-19 reporting issues and biases across different countries and regions. Second, we identified crucial factors affecting the speed of COVID-19 disease spread and provided recommendations on choosing and operating economic and health system factors when analyzing COVID-19 progression. Particularly, we discovered that the political system and compliance with international disease control norms are crucial for effective COVID-19 pandemic cessation. However, the role of some widely-adopted measures, such as GHS Health Index, might have been overestimated in lieu of multiple biases and underreporting challenges. Third, we benchmarked our findings against the widely-adopted Global Health Security (GHS) model and found that the latter might be redundant when measuring and forecasting COVID-19 spread, while its individual components could potentially serve as stronger COVID-19 indicators. Fourth, we discovered four clusters of countries characterized by different COVID-19 development scenarios, highlighting the differences of the disease reporting and progression in different economic and health system settings. Finally, we provided recommendations on sophisticated measures and research approaches to be implemented for effective outbreak measurements, evaluation and forecasting. We have supported the latter recommendations by a preliminary regression analysis based on the our-collected dataset. We believe that our work would encourage further in-depth quantitative research along the direction as well as would be of support to public policy development when addressing the COVID-19 crisis worldwide
Professor Aleksandr Evgenevich Borisov (on the 70th anniversary of the birth).
No full textAlexander Evgenievich Borisov – head of the Department of surgery named after N. D. Monastyrskii (Available at: https://www.livelib.ru/author/733938/series-aleksandr-borisov
TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning
No full textWellness is a widely popular concept that is commonly applied to fitness and self-help products or services. Inference of personal wellness-related attributes, such as body mass index or diseases tendency, as well as understanding of global dependencies between wellness attributes and users' behavior is of crucial importance to various applications in personal and public wellness domains. Meanwhile, the emergence of social media platforms and wearable sensors makes it feasible to perform wellness profiling for users from multiple perspectives. However, research efforts on wellness profiling and integration of social media and sensor data are relatively sparse, and this study represents one of the first attempts in this direction. Specifically, to infer personal wellness attributes, we proposed multi-source individual user profile learning framework named "TweetFit". "TweetFit" can handle data incompleteness and perform wellness attributes inference from sensor and social media data simultaneously. Our experimental results show that the integration of the data from sensors and multiple social media sources can substantially boost the wellness profiling performance
RUSSIAN EMIGRATION IN INTERWAR WARSAW: ALEKSANDR KHIRYAKOV
No full textThis paper is devoted to the cultural activity of the Russian emigrant, writer, journalist, critic and author of the memoirs – Aleksandr Khiryakov (1863-1940)
in interwar Warsaw. His activity proves that he was an important representative of the diaspora, however he was marginalized by literary scholars. Khiryakov was involved in the life of the emigration community as a member of numerous literary groups and social committees. He initiated significant projects, voiced important ideas and actively cooperated with opinion-forming Russian newspapers, which propagated among their readers the conviction of their responsibility for the fate of Russia as well as its political and cultural missions
Factorial experiments
No full textTitle: Factorial Experiments Author: Aleksandr Kuropatov Department of Probability and Mathematical Statistics: Department of Probability and Mathematical Statistics Supervisor: doc. RNDr. Zdeněk Hlávka, Ph.D, Department of Probability and Mathematical Statistics Abstract: This thesis is devoted to the description of the two-sample t-test and analysis of variance ANOVA, which represent important tools in the testing of statistical hypotheses. Subsequently, their permutation variants and their practical application are discussed, including the use of specific notation. In the first part, the theoretical foundations of classical tests are presented; afterward, attention is given to practical situations involving the use of ANOVA, especially in cases where the data are represented by functions, i.e., in the form of functional data. In the final chapter, a simulation study is conducted, aimed at estimating the power and significance level of the permutation ANOVA test. Keywords: Permutation test, Analysis of varianceNázev práce: Faktoriální experimenty Autor: Aleksandr Kuropatov Katedra pravděpodobnosti a matematické statistiky: Katedra pravděpodobnosti a matematické statistiky Vedoucí bakalářské práce: doc. RNDr. Zdeněk Hlávka, Ph.D, Katedra pravděpo- dobnosti a matematické statistiky Abstrakt: Tato práce je věnována popisu dvouvýběrového t-testu a analýzy rozptylu (ANOVA), které představují důležité nástroje při testování statistických hypotéz. Následně jsou rozebrány jejich permutační varianty a jejich praktické využití, včetně použití specifické symboliky. V první části jsou představeny teoretické základy klasických testů, poté je pozornost věnována praktickým situacím využití ANOVA, zejména v případech, kdy jsou data reprezentována funkcemi, tedy v podobě funkcionálních dat. V závěrečné kapitole je pak provedena simulační studie zaměřená na odhad síly a hladiny významnosti permutačního ANOVA testu. Klíčová slova: Permutační test, Analýza rozptylu Title: Factorial Experiments Author: Aleksandr Kuropatov Department of Probability and Mathematical Statistics: Department of Probability and Mathematical Statistics Supervisor: doc. RNDr. Zdeněk Hlávka, Ph.D, Department of Probability and Mathematical Statistics Abstract: This thesis is devoted to the description of the two-sample t-test and analysis of variance ANOVA,...Katedra pravděpodobnosti a matematické statistikyDepartment of Probability and Mathematical StatisticsFaculty of Mathematics and PhysicsMatematicko-fyzikální fakult
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