4,056 research outputs found
On the deep string spectrum
No full textThese proceedings are based on the author's invited talk reviewing the original published work [1,2] of the author with collaborators. The subject matter is a new, covariant and efficient technology of constructing entire trajectories of physical string states deeper inside the string spectrum than the leading Regge. The key observation behind the technology is that the lowering operators of a symplectic algebra appear in the Virasoro constraints which impose physicality of states in the open bosonic string. This algebra commutes with the spacetime Lorentz algebra, (of the little group) of which all string states are irreducible representations. Employing then the so-called Howe duality of representation theory, one may relate the irreducible representations of the two algebras via a bijection. The spectrum thus splits into two parts: trajectories that are lowest weight states of the symplectic algebra and their infinitely many clones. The latter can then be reached by suitably dressing the former with the raising operators of the symplectic algebra. The technology is nontrivially extended to the open superstring, where the relevant Howe dual is an orthosymplectic algebra
A hierarchical distributed predictive control approach for microgrids energy management
No full textThis paper addresses the problem of management and coordination of energy resources in a typical microgrid, including smart buildings as flexible loads, energy storages and renewables. The overall goal is to provide a comprehensive and innovative framework to maximize the overall benefit, still accounting for possible requests to change the load profile coming from the grid and leaving every single building or user to balance between servicing those requests and satisfying his own comfort levels. The user involvement in the decision-making process is granted by a management and control solution exploiting an innovative distributed model predictive control approach with coordination. In addition, also a hierarchical structure is proposed, to integrate the distributed MPC user-side with the microgrid control, also implemented with an MPC technique. The proposed overall approach has been implemented and tested in several experiments in the laboratory facility for distributed energy systems (Smart RUE) at NTUA, Athens, Greece. Simulation analysis and results complement the testing, showing the accuracy and the potential of the method, also in the perspective of implementation
miRNA-21 as a novel therapeutic target in lung cancer
No full textAthina Markou, Martha Zavridou, Evi S LianidouAnalysis of Circulating Tumor Cells, Laboratory of Analytical Chemistry, Department of Chemistry, University of Athens, Athens, GreeceAbstract: Lung cancer is a leading cause of cancer death, and late diagnosis is one of the most important reasons for the high mortality rate. microRNAs (miRNAs) are key players in gene regulation and therefore in tumorigenesis. As far as lung carcinogenesis is concerned, miRNAs open novel fields in biomarker research, in diagnosis, and in therapy. In this review we focus on miR-21 in lung cancer and especially on how miR-21 is involved 1) as a biomarker in response or resistance to therapy or 2) as a therapeutic target.Keywords: lung cancer, miR-21, therapeutic target, NSCLC, response to therap
Chatting with chatbots! Written online interaction with AI in teaching German as a foreign/second language
No full textDer vorliegende Beitrag thematisiert die schriftliche Interaktion mit Chatbots der künstlichen Intelligenz (KI) im Rahmen des Fremdsprachenunterrichts. Der Einsatz von computergestützter zwischenmenschlicher Kommunikation, Online-Interaktion und Konversation ist seit langem bekannt und hat sich als vorteilhaft für die Anwendung im Fremdsprachenunterricht erwiesen (Markou 2009). Der Rückgriff auf KI ist neu: Chatbots, wie ChatGPT, sind Teil des Alltags sowohl von Lehrpersonen als auch von Fremdsprachenlernenden. Wie sie in den DaF/DaZ-Unterricht integriert werden können, welche Vorteile und Herausforderungen sich daraus ergeben und wie sich das Wechselspiel zwischen Unterricht und Lebenswelt beeinflusst wird, stehen im Mittelpunkt dieses Beitrags.In this paper, the focus is on written interaction with artificial intelligence (AI) chatbots in the context of foreign language teaching. The use of Computer Mediated Communication (CMC), online interaction and conversation has been known for a long time and has proven to be beneficial for use in foreign language teaching (Markou 2009). The use of AI is new: chatbots such as ChatGPT are part of the everyday life of teachers and foreign language learners. This paper focuses on how they can be used in teaching german as a second/foreign language, what advantages and challenges they pose and how they influence the interplay between teaching and the real world
Gods, Lions and Antiquities: Strategies of Colonial Archaeology in Venetian Cyprus and Crete
No full textGods, Lions and Antiquities: Strategies of Colonial Archaeology in Venetian Cyprus and Cret
Colistin penetration in the alveolar lining fluid of critically III patients treated with IV colistimethate sodium
No full textRisposta di Roberto Imberti , MD; Giorgio A. Iotti , MD; Maria Cusato , PharmD; Mario Regazzi , PharmD alla lettera "Colistin Penetration in the Alveolar Lining Fluid of Critically Ill Patients Treated With IV Colistimethate Sodium" (di Nikolaos Markou , MD; Marizoza Fousteri , MSc; Sophia L. Markantonis , PhD;; Eleni Boutzouka , MD; Evdokia Tsigou , MD; George Baltopoulo , MD , PhD
MiRNA-21 as a novel therapeutic target in lung cancer
No full textLung cancer is a leading cause of cancer death, and late diagnosis is one of the most important reasons for the high mortality rate. microRNAs (miRNAs) are key players in gene regulation and therefore in tumorigenesis. As far as lung carcinogenesis is concerned, miRNAs open novel fields in biomarker research, in diagnosis, and in therapy. In this review we focus on miR-21 in lung cancer and especially on how miR-21 is involved 1) as a biomarker in response or resistance to therapy or 2) as a therapeutic target. © 2016 Markou et al
Contribution of Animal Models and Preclinical Human Studies to Medication Development for Nicotine Dependence
No full textReply to: Gamma-Aminobutyric Acidergic Deficits Cause Melancholic Depression: A Reply to Markou and Geyer
No full textGENERATING EMBEDDED REBAR ELEMENTS FOR LARGE-SCALE RC MODELS
No full textModeling of reinforced concrete structures through the use of 3D detailed models derives significant numerical issues especially when dealing with large-scale meshes that incorporate large numbers of reinforcement bars embedded in the hexahedral mesh. In 3D detailed reinforced concrete simulations, mapping the reinforcement grid inside the concrete hexahedral finite elements is performed by using the end-point coordinates of the rebar macro- elements. This procedure is computationally demanding when dealing with large-scale models, where the required computational time for the reinforcement mesh generation can be excessive. This research work investigates the numerical robustness and computational efficiency of the embedded rebar mesh generation method proposed by Markou [14] that was an extension of the Markou and Papadrakakis [8] research work. The under study embedded rebar mesh generation method foresees the automatic allocation and generation of embedded steel reinforcement inside hexahedral finite elements for 32-bit and 64-bit windows based applications. In order to investigate the numerical and computational performance of the embedded rebar mesh generation method, a full-scale model of the RC frame of the Alhosn University Campus in Abu Dhabi and a RC bridge are constructed and used so as to allocate and generate the embedded rebar finite elements. The numerical results that derived from the ReConAn FEA solver for the at hand numerical implementations are briefly presented
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