27 research outputs found
Local Measurements of the Impact of Quantitative and Qualitative Characteristics of Investment and Technological Decisions on the Environment Under the Risk-Related Conditions of Mining Industry
No full textThe impact of globalization in a worldwide scale is even more noticeable in the each country during period of world economic crisis due to the differences in the economic status, deformed by the crisis phenomena. In that case, the conflict between global tendencies and local manifestations in the regional aspect of economic phenomena is even more evidently noticeable as a direct reflection of the resource deficiency. The mineral resources are directly related to that process, not only as a first phase of the transformation of the raw material potential for each country, but also as a serious violator of the ecological equilibrium as a result of the applied technologies. Each country is enforced to resolve the various issues related to preserving the own resource potential as much as possible and to subordinate its investment and technological decisions to an integrated and in-depth utilization in compliance with the sustainable development of society.mineral resources, mining industry, environmental friendly consumption, impact on the environment.
Replication of "Multilevel Models for the Analysis of Comparative Survey Data Common Problems and Some Solutions" with R
No full textAim: Replicate the analysis conducted by Prof. Dr. Alexander W. Schmidt-Catran (Goethe University Frankfurt), Prof. Dr. Malcolm Fairbrother (Umea University), and Prof. Dr. Hans-Jürgen Andreß (University of Cologne) that was published in a special issue on Cross-National Comparative Research in the German academic journal Kölner Zeitschrift für Soziologie und Sozialpsychologie in 2019. Result: Almost all calculations, tables and graphs from Schmidt-Catran et al. (2019) could be replicated sufficiently well in R
ICSS: The International Community ‘Space’ Station: Publicness and formation of a resilient and sustainable community in a space habitat
No full textThe goal of this thesis is to propose a design for an orbital space station that incubates the future space civilization and is the base for space regulations and governance. A place that is democratizing access to space and resources, and allows for any interested individual to join and contribute to the world at large and their personal wellbeing. The goal is to design a place where a closely knitted community of makers, scientists, and artists is cultivated. They will be the decision-makers and the actors in space exploration.To learn how to do that, initially, the thesis embarks on the research of some community aspects on Earth and the way public space contributes to their cultivation in our cities. Specifically, the focus of the study is to observe and analyze the function that Het Park in Rotterdam serves to people. It is a look into the congenital and human side of living in an industrialized world and the values this brings to the community. In space, that natural side will inevitably be different or non-existing and to maintain the values that nature and the park bring to our lives we need to develop a translated alternative. The goal is to add a playful and authentic element to a potentially very machine and virtual future in space.After an introduction to the direction in which we have been heading since the industrial revolution, the research examines 4 major values taken from the park- social value, health, freedom, and engagement, to understand the importance of addressing the natural and human qualities. Those values are analyzed through park visits and sketches of people utilizing their environment and adapting it with simple means. Conclusively, the research highlights the importance of the presence of the public park in people’s lives even if we forget it or do not notice it on a daily basis and it shows how such a place can strengthen the community and make people more caring and more respectful (Cohen, et. all 2006). It identifies which are the key elements that play a role in the value that the park brings to the citizens. Thus they can be taken and appropriated to the space environment and the space station design. This research is a continuation of a previous essay by the author - “Cohousing in ‘Space’ and Time”.Architecture, Urbanism and Building Sciences | Explorela
LOCAL MEASUREMENTS OF THE IMPACT OF QUANTITATIVE AND QUALITATIVE CHARACTERISTICS OF INVESTMENT AND TECHNOLOGICAL DECISIONS ON THE ENVIRONMENT UNDER THE RISK-RELATED CONDITIONS OF MINING INDUSTRY
No full textThe impact of globalization in a worldwide scale
is even more noticeable in the each country during
period of world economic crisis due to the differences
in the economic status, deformed by the crisis
phenomena. In that case, the conflict between global
tendencies and local manifestations in the regional
aspect of economic phenomena is even more evidently
noticeable as a direct reflection of the resource
deficiency. The mineral resources are directly related
to that process, not only as a first phase of the
transformation of the raw material potential for each
country, but also as a serious violator of the ecological
equilibrium as a result of the applied technologies.
Each country is enforced to resolve the various issues
related to preserving the own resource potential as
much as possible and to subordinate its investment and
technological decisions to an integrated and in-depth
utilization in compliance with the sustainable
development of societ
LCT-GAN - Improving the efficiency of tabular data synthesis via latent embeddings
No full textIn the past decade data-driven approaches have been at the core of many business and research models. In critical domains such as healthcare and banking, data privacy issues are very stringent. Synthetic tabular data is an emerging solution to privacy guarantee concerns. Generative Adversarial Networks (GANs) are one of the emerging solutions for synthesizing data. However in order to capture all relevant relationships between columns, tabular data needs to be numerically encoded. As columns might be of different types, this is a challenging task as proven by recent approaches. Throughout this paper, we focus on the dimensionality explosion problem, which leads to high-dimensional datasets alongside computational overhead and increase in training time. We introduce a novel synthesis pipeline - LCT-GAN - an improvement to the current state-of-the-art in tabular data synthesis CTAB-GAN. Our approach addresses the dimensionality explosion problem by introducing a low-dimensional embedding step via an autoencoder prior to training. It is then combined with a novel conditional GAN architecture, operating in latent space. After thorough evaluation, we observe that our solution achieves more than 30\% improvement in certain statistical metrics in comparsion to CTAB-GAN, accompanied by 5 fold decrease in size and 150 times speedup in training time for a single epoch. We successfully show that it is possible to embed data using autoencoders, and that GANs are able to learn complex relationships in latent space in the context of tabular data.CSE3000 Research ProjectComputer Science and Engineerin
Cloud Infrastructure Security
No full textPart 4: Security for CloudsInternational audienceCloud computing can help companies accomplish more by eliminating the physical bonds between an IT infrastructure and its users. Users can purchase services from a cloud environment that could allow them to save money and focus on their core business. At the same time certain concerns have emerged as potential barriers to rapid adoption of cloud services such as security, privacy and reliability. Usually the information security professionals define the security rules, guidelines and best practices of the IT infrastructure of a given organization at the network, host and application levels. The current paper discusses miscellaneous problems of providing the infrastructure security. The different aspects of data security are given a special attention, especially data and its security. The main components of cloud infrastructure security are defined and the corresponding issues and recommendations are given
A Proposal on Patient Transport Decision Making in Multiple Hospitals in a Large-Scale Disaster
No full textInternational audienceIn 2011, the Great East Japan Earthquake and Tsunami destroyed three prefectural hospitals in Iwate Prefecture, Japan. The author interviewed officers working in the Iwate Medical Central Office as well as medical doctors working in public hospitals, of which there are 25 in Iwate Prefecture. Based on the interviews and several reports this paper describes the problem of patient transport in a large-scale disaster. In such situations, the decision making process is confusing, making it difficult to transport patients efficiently from hospitals in the disaster areas to supporting hospitals. This paper proposes a new decision making method to solve the problem of patient transport. The simulation results of a risk analysis comparing the proposed method with conventional methods are presented
The Ianos Cyclone (September 2020, Greece) from Perspective of Utilizing Social Networks for DM
No full textInternational audienceMain purpose of current research is to present evolutions in previous presented approaches of the author for manipulating social media content for disaster management of natural events. Those innovations suggest the adoption of machine learning for classifying both photos and text posted in social networks along with hybrid geo-referencing. As case study the author chose the Ianos cyclone, occurred between Italy and Greece, during September 2020. The geographic focus of the research was in Greece where the cyclone caused 4 human losses and damages in the urban environment. A dataset consisted of 4655 photos, with their corresponding captions, timestamps and location information was crawled from Instagram. The main hashtag used was #Ianos. Two data samples, one for each type, were classified manually for calibrating the classification models. The classes regarding photos were initially: (i) related and (ii) not related to Ianos, while the general classification schema for photos and text was: (i) Ianos event identification, (ii) consequences, scaled according to the impact of each report, (iii) precaution, (iv) disaster management: announcements, measures, volunteered actions. Author’s approach regarding classification suggests the use of convolutional neural networks and support vector machine algorithms for image and text classification respectively. The classified dataset, was geo-referenced by using commercial geocoding API and list-based geoparsing. The results of the research in current status are at an initial level, a subset of data though of automatically or manually processed information is presented in four related maps
Liver tryptase-positive mast cells and fibrosis in children with hepatic echinococcosis
No full textThe hepatic echinococcosis in children is a serious surgical problem.
The aim of this study is to investigate the participation of mast cells
in liver inflammatory reactions triggered by echinococcal cysts. Liver
biopsy samples were collected from the tissue surrounding the cysts
from 16 sick children (11 boys and 5 girls) in the course of abdominal
surgery and from 5 controls. Light and ultrastructural
immunocytochemistry was performed using monoclonal antibody against
tryptase. Light microscopical immunocytochemistry revealed abundance of
tryptase-positive (MCT) mast cells in the capsules of the cysts (43.58
cells/mm2). There were also observed greatly increased numbers of mast
cells in portal tracts surrounding the cyst, compared to those of
control biopsies (26.49 vs. 1.78 cells/mm2, p=0.0009, Mann-Whitney U
test). Based on the ultrastructural appearance of tryptase-positive
mast cell granules, morphological sings of activation of most of the
mast cells were distinguished. In conclusion, we suggest that the
accumulated and activated tryptase-positive mast cells in liver tissues
surrounding the echinococcal cysts play a crucial role in modulation of
the inflammatory liver response and could induce chronic inflammation
and fibrogenesis, resulting in serious liver injury such as nonspecific
reactive hepatitis
