Hellenic Military Academy

About: Hellenic Military Academy is a education organization based out in Voula, Greece. It is known for research contribution in the topics: Computer science & Complex space. The organization has 36 authors who have published 97 publications receiving 541 citations.

Predicting Cytotoxicity of Metal Oxide Nanoparticles Using Isalos Analytics Platform

Abstract: A literature curated dataset containing 24 distinct metal oxide (MexOy) nanoparticles (NPs), including 15 physicochemical, structural and assay-related descriptors, was enriched with 62 atomistic computational descriptors and exploited to produce a robust and validated in silico model for prediction of NP cytotoxicity. The model can be used to predict the cytotoxicity (cell viability) of MexOy NPs based on the colorimetric lactate dehydrogenase (LDH) assay and the luminometric adenosine triphosphate (ATP) assay, both of which quantify irreversible cell membrane damage. Out of the 77 total descriptors used, 7 were identified as being significant for induction of cytotoxicity by MexOy NPs. These were NP core size, hydrodynamic size, assay type, exposure dose, the energy of the MexOy conduction band (EC), the coordination number of the metal atoms on the NP surface (Avg. C.N. Me atoms surface) and the average force vector surface normal component of all metal atoms (v⟂ Me atoms surface). The significance and effect of these descriptors is discussed to demonstrate their direct correlation with cytotoxicity. The produced model has been made publicly available by the Horizon 2020 (H2020) NanoSolveIT project and will be added to the project's Integrated Approach to Testing and Assessment (IATA).

Computer-Aided Drug Design of β-Secretase, γ-Secretase and Anti-Tau Inhibitors for the Discovery of Novel Alzheimer's Therapeutics.

Abstract: Aging-associated neurodegenerative diseases, which are characterized by progressive neuronal death and synapses loss in human brain, are rapidly growing affecting millions of people globally. Alzheimer's is the most common neurodegenerative disease and it can be caused by genetic and environmental risk factors. This review describes the amyloid-β and Tau hypotheses leading to amyloid plaques and neurofibrillary tangles, respectively which are the predominant pathways for the development of anti-Alzheimer's small molecule inhibitors. The function and structure of the druggable targets of these two pathways including β-secretase, γ-secretase, and Tau are discussed in this review article. Computer-Aided Drug Design including computational structure-based design and ligand-based design have been employed successfully to develop inhibitors for biomolecular targets involved in Alzheimer's. The application of computational molecular modeling for the discovery of small molecule inhibitors and modulators for β-secretase and γ-secretase is summarized. Examples of computational approaches employed for the development of anti-amyloid aggregation and anti-Tau phosphorylation, proteolysis and aggregation inhibitors are also reported.

Nonlinear strain gradient elastic thin shallow shells

Abstract: The governing equilibrium equations for strain gradient elastic thin shallow shells are derived, considering nonlinear strains and linear constitutive strain gradient elastic relations. Adopting Kirchhoff’s theory of thin shallow structures, the equilibrium equations, along with the boundary conditions, are formulated through a variational procedure. It turns out that new terms are introduced, indicating the importance of the cross-section area in bending of thin plates. Those terms are missing from the existing strain gradient shallow thin shell theories. Those terms highly increase the stiffness of the structures. When the curvature of the shallow shell becomes zero, the governing equilibrium for the plates is derived.

Reliability and Security Issues for IoT-based Smart Business Center: Architecture and Markov Model

Abstract: One of the key subsystems from point of view of security of the complex IoT system is the smart business center (SB?) system. Some problems the design and operation of the SBC system are analyzed. When analysis of safety of the IoT system must take into account the reliability and security of the system at several levels: the level of sensors, the level of communication (communication lines, router, switch), the server level as the control device of components of the network, the level of the entire SBC subsystem. General architecture of network of the SB? is described. Reliability and security of key SB? hardwareand software manufacturers are analysed. In particular, security issue for SB? routers is considered. Shown the Markov model, which takes into account the technical conditions of typical network components of the SBC with the presence of software vulnerabilities when exposed to hacker attacks. On this model's basis it is possible to conduct further researches directed for improving the reliability operation and safety of IoT.