768 research outputs found
Babel, or the local distortion of the Greek language
No full textTitle: Βαβυλωνία ἤ ἡ κατά τόπους διαφθορά τῆς ἑλληνικῆς γλώσσας. Κωµωδία (Babel, or the local distortion of the Greek language: A comedy) Originally published: Ναύπλιο (Nafplio), Τυπογραφεῖsο Κωνσταντίνου Τόµπρα ἐκ Κυδωνιῶν καὶ Κωνσταντίνου Ἰωαννίδη ἐκ Σµύρνης, 1836 Language: Greek The excerpt used is from D. C. Vyzantios, Βαβυλωνία, introduction by Spyros Evangelatos (Athens: Εστία, 1993), pp.1–3. About the author Dimitrios Vyzantios (pseudonym of Dimitrios K. Hatziaslanis) [1790, Constantin..
Dimitrios Tsamis Karatasos : a symbol of Greek, Serbian and Bulgarian friendship
No full textTwo Serbian texts extol the contribution of Dimitrios Tsamis Karatasos to the Balkan joint effort to throw off the Ottoman yoke. These texts are analysed by the author within the historical framework of their period, so that the man’s personality and work may be accurately evaluated from a fresh viewpoint. More specifically, the author conducts a research on the tombstone of Dimitrios Tsamis Karatasos, which he discovered himself at Naoussa, and the octet engraved on it, which is also published here. The work is illustrated by seven plates, of which four have not been published previously
The Remains of authoritarianism : bureaucracy and civil society in post-authoritarian Greece
No full textDimitrios A. Sotiropoulos. 30 cm. He presented this paper at a seminar held at the Center on October 21, 1994. - T.p. Includes bibliographical references (p. 31-35
Erratum: Korkovelos, A., et al. The role of open access data in geospatial electrification planning and the achievement of SDG7. An OnSSET-based case study for Malawi. <i>Energies</i> 2019, 12(7), 1395
No full textThe authors wish to make a change in author names (adding new author—Dimitrios Mentis) to this paper
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From Social Data to Neural Networks: Robust Decision-Making in Machine Learning
No full textIn this thesis we develop algorithms to control and understand the behavior of a system despite erroneous, noisy or otherwise problematic input. In our first line of work, we focus on the decision-making for social data pipeline that usually consists of three steps: (1) collect and label relevant data, (2) learn a surrogate model representing the real world as accurately as possible, and (3) perform optimization/decision-making on the surrogate model. We begin by tackling the first problem, showing how to aggregate labels and reduce uncertainty in crowdsourcing platforms. The data collected from crowdsourcing is often noisy and hence may yield models that are biased or erroneous. We present a graphical model to aggregate the different labelers' decisions and estimate their uncertainty. This allows us to utilize reviewers more efficiently and improve the quality of our data. Subsequently, we focus on the next two steps of the pipeline and use information dissemination in social networks as a case study, ultimately aiming to design robust algorithms for that problem. We propose a new hyperparametric model that utilizes information about the nodes of the social graph and allows us to approximately maximize the number of nodes that are will be influenced under the worst possible choice of the hyperparameter (on expectation). This accounts for errors introduced during learning the model from data of past cascades, i.e. observations of how does diffusion propagate among the nodes of the network.
In the second part of the thesis, we focus on neural networks that have been in the frontline of the machine learning revolution we have been observing over the last few years. We investigate the connections between robustness and interpretability for genomic datasets and finally, try to shed some light upon the generalization behavior of neural networks by studying the implicit bias of Stochastic Gradient Descent (SGD), i.e. the underlying reason why we are able to recover generalizable solutions in modern overparametrized networks, by claiming that neural networks trained with SGD learn functions of increasing complexity as training progresses. That is, they learn meaningful correlations with the data and retain them throughout the training process, even after overfitting to the noise in the dataset
Information-provider scripts for GLUE2 and RAID configurations.
No full textThis report will outline two projects that were done as part of a three months long summer internship at CERN. In the first project we dealt with Worldwide LHC Computing Grid (WLCG) and its information system. The information system currently conforms to a schema called GLUE and it is evolving towards a new version: GLUE2. The aim of the project was to develop and adapt the current information system of the WLCG, used by the Large Scale Storage Systems at CERN (CASTOR and EOS), to the new GLUE2 schema. During the second project we investigated different RAID configurations so that we can get performance boost from CERN's disk systems in the future. RAID 1 that is currently in use is not an option anymore because of limited performance and high cost. We tried to discover RAID configurations that will improve the performance and simultaneously decrease the cost
The Exemplary Life of Dimitrios Vikelas (1835-1908)
No full textThis paper describes the "satisfying curve" of Dimitrios Vikelas' life journey, starting from Syros in 1835, moving via Constantinople, Odessa, and Syros again, to London, Paris and finally Athens. It explores Vikelas' multiple aspects, as merchant, writer, traveller, lecturer and essayist, Olympic founder, educationalist, book collector and philanthropist, all of which were united in the public-spirited man of letters (logios). It sets Vikelas in the context of the Greek commercial diaspora, the world of the London expatriate Greek community, and the dynamic society of late nineteenth-century Athens, beginning in the 1870s to act as a magnet to Greek expatriates. The author stresses two qualities of Vikelas: his belief in the idea of a progressive Greek state marked by advances in education, culture, tourism and standards of public life; and the self-awareness and experience which inform his autobiographical writings, not only his memoir My Life but also his last such work, The War of 1897
The greek early mover companies in mergers and acquisitions of S.E. Europe and their returns
No full textThe aim of this doctoral dissertation is to examine the early movers' phenomenon, and whether these companies have any abnormal returns in case of a merger or acquisition announcement. The research sample consists of 50 Greek companies of high capitalization enlisted in the Athens Stock Exchange, which they performed 109 cases of mergers or acquisitions in the period 1999-2006. These investments took place in the region of South East Europe, when during the same period the European Union experienced its great expansion. The methodology followed is the Event Studies methodology in combination with daily data, namely daily stock prices. This methodology is mainly used to examine the stock prices' fluctuations around a specific day, due to a fact like a change in firms1 tax regulations, a profit announcement, a merger or acquisition announcement, etc. For this doctoral dissertation the event of interest was the day the intention of the Greek companies to merge with or to acquire another company in S.E. Europe went public. The calculation of the stocks' abnormal returns was made by the Market Model, which is considered to be a practical implementation of the Capital Asset Pricing Model (CAPM). The Exponential Generalized Auto-Regressive Conditional Heteroscedasticity model (E-GARCH) was used to examine whether there were any good or bad news effects from new information on the stocks' prices. The Market Model's results show that the Greek early mover companies had no abnormal returns in the period of their merger or acquisition intentions. The mean value of the abnormal returns in the day of the event was zero. This result is in line with the literature's findings. On the other hand, the E-GARCH model shows that for the 93 of the 109 cases there is a good news effect, while for the rest 16 there is a bad news effect. That means that for the former case the stocks' volatility will be higher than in the latter case. The final outcome is that, in a mergers and acquisitions wave the early mover companies do not always have positive abnormal returns. Adding to that, the Market Model on its own cannot successfully isolate the side-effects on a stock, like in the case of good or bad new information. The E-GARCH model provides a good combination tool in order to capture all possible effects on a stock, when it comes to estimating abnormal returns. These two models can be used by managers for investment decisions (i.e. foreign direct investments), and investors in choosing among stocks of companies that expand through merging or acquiring.Ο στόχος της διατριβής είναι να εξετάσει το φαινόμενο των πρωτοπόρων εταιριών και εάν μία πρόθεση εξαγοράς ή συγχώνευσης που διενεργεί μια ελληνική πρωτοπόρος εταιρία οδηγεί σε έκτακτες αποδόσεις της μετοχής της εταιρίας αυτής. Το ερευνητικό δείγμα αποτελείται από 50 ελληνικές εταιρίες υψηλής κεφαλαιοποίησης, εισηγμένες στο Χρηματιστήριο Αξιών Αθηνών (ΧΑΑ), οι οποίες πραγματοποίησαν 109 περιπτώσεις εξαγορών και συγχωνεύσεων σε χώρες της περιοχής της Ν.Α. Ευρώπης. Οι επενδύσεις αυτές διενεργήθηκαν στη χρονική περίοδο 1999-2006, μια περίοδο που παρατηρείται ένα κύμα συγχωνεύσεων και εξαγορών προς τη συγκεκριμένη περιοχή, κυρίως από ελληνικές εταιρίες, λόγω κυρίως της διεύρυνσης της Ευρωπαϊκής Ένωσης. Η μεθοδολογία που ακολουθείται είναι αυτή της Εξέτασης Γεγονότων σε συνδυασμό με ημερήσια δεδομένα, όπως είναι οι ημερήσιες τιμές μετοχών των εταιριών. Η μεθοδολογία της Εξέτασης των Γεγονότων χρησιμοποιείται συχνά για να εξεταστεί η συμπεριφορά των τιμών των μετοχών γύρω από συγκεκριμένες ημερομηνίες γεγονότων, όπως μπορεί να είναι οι αλλαγές στους νόμους της λογιστικής, η ανακοίνωση κερδών, η αλλαγή στις νομοθετικές ρυθμίσεις του εμπορικού κώδικα, η ανακοίνωση μιας εξαγοράς ή συγχώνευσης, κτλ. Στην προκειμένη διατριβή, το γεγονός γύρω από το οποίο έγινε η έρευνα είναι η πρόθεση ανακοίνωσης μιας εξαγοράς ή συγχώνευσης από τις ελληνικές εταιρίες. Ο υπολογισμός των έκτακτων αποδόσεων των μετοχών έγινε με το Μοντέλο Αγοράς, το οποίο θεωρείται ως μια πρακτική εφαρμογή του Μοντέλου Αποτίμησης Κεφαλαιακών Στοιχείων (CΑΡΜ), ενώ με το Εκθετικό Γενικευμένο Αυτοπαλίνδρομο Μοντέλο υπό Συνθήκη Ετεροσκεδαστικότητας (E-GARCH) έγινε η εξέταση της επίδρασης που μπορεί να έχει μια νέα πληροφορία, θετική ή αρνητική, στην αστάθεια των μετοχών. Επιχειρείται, δηλαδή, να αποδειχθεί εάν οι ανακοινώσεις των προθέσεων εξαγορών ή συγχωνεύσεων επηρεάζουν τη μεταβλητότητα των αποδόσεων των μετοχών, και εάν ναι, σε ποιο βαθμό. Τα αποτελέσματα του Μοντέλου Αγοράς δείχνουν ότι οι ελληνικές εταιρίες δεν έχουν κάποιες έκτακτες αποδόσεις λόγω των προθέσεων εξαγοράς ή συγχώνευσης. Ο μέσος όρος των έκτακτων αποδόσεων την ημέρα του γεγονότος είναι μηδενικός. Το αποτέλεσμα αυτό συνάδει με τα πορίσματα της έως τώρα υπάρχουσας αρθρογραφίας. Το E-GARCH μοντέλο, από την άλλη, δείχνει ότι σε 93 περιπτώσεις από τις 109 υπάρχει επιρροή θετικής πληροφόρησης, ενώ στις υπόλοιπες 16 υπάρχει επιρροή αρνητικής πληροφόρησης. Αυτό σημαίνει ότι στις 16 περιπτώσεις, η αναμενόμενη αύξηση αστάθειας των μετοχών είναι μεγαλύτερη από ότι στις υπόλοιπες 93 περιπτώσεις. Το τελικό συμπέρασμα είναι ότι, σε ένα κύμα εξαγορών και συγχωνεύσεων, οι πρωτοπόρες εταιρίες δεν έχουν πάντα θετικές έκτακτες αποδόσεις. Επιπροσθέτως, το Μοντέλο Αγοράς από μόνο του δεν μπορεί να εκτιμήσει τις παράπλευρες επιρροές σε μια κινητή αξία, όπως είναι μια μετοχή, ενώ το E-GARCH μοντέλο μπορεί σε αυτήν την περίπτωση να βοηθήσει με τον υπολογισμό της θετικής ή αρνητικής πληροφόρησης. Ο συνδυασμός των δύο μοντέλων μπορεί να χρησιμοποιηθεί τόσο από πλευράς διοικήσεων προκειμένου να ληφθούν επενδυτικές αποφάσεις σε περιπτώσεις ξένων άμεσων επενδύσεων, όσο και για επενδύσεις σε μετοχές εταιριών που εξαπλώνονται μέσω εξαγορών
Turbulence structure and flow resistance in oscillatory boundary layer flows
No full textSubmission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2022-12-01The student, Dimitrios Fytanidis, accepted the attached license on 2020-12-01 at 15:14.The student, Dimitrios Fytanidis, submitted this Dissertation for approval on 2020-12-01 at 15:22.This Dissertation was approved for publication on 2020-12-03 at 08:17.DSpace SAF Submission Ingestion Package generated from Vireo submission #16014 on 2021-03-04 at 16:32:49Made available in DSpace on 2021-03-05T21:45:43Z (GMT). No. of bitstreams: 15
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Previous issue date: 2020-12-03Embargo set by: Seth Robbins for item 117320
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Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemAuthor requested closed access (OA after 2yrs) in Vireo ETD systemLimite
Correction: The effect of COVID rehabilitation for ongoing symptoms Post HOSPitalisation with COVID-19 (PHOSP-R): protocol for a randomised parallel group controlled trial on behalf of the PHOSP consortium (Trials, (2023), 24, 1, (61), 10.1186/s13063-023-07093-7)
No full text\ua9 2023, The Author(s).Following publication of the original article [1], it was noticed that the author name Dimitrios Megaritis was incorrectly written as Dimitrios Magaritis. The author group has been updated above and the original article has been corrected
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