The Tower of Knowledge: a novel architecture for organising knowledge combining logic and probability

It is argued that the ability to generalise is the most important characteristic of learning and that generalisation may be achieved only if pattern recognition systems learn the rules of meta-knowledge rather than the labels of objects. A structure, called "tower of knowledge\u27\u27, according to which knowledge may be organised, is proposed. A scheme of interpreting scenes using the tower of knowledge and aspects of utility theory is also proposed. Finally, it is argued that globally consistent solutions of labellings are neither possible, nor desirable for an artificial cognitive system

Μελέτη και καταγραφή των μεθόδων ιατρικής συμμόρφωσης και στατιστική ανάλυση του επιπέδου συμμόρφωσης των ασθενών μέσω mobile εφαρμογών

149 σ.Η παρούσα διπλωματική έχει ως στόχο να παρουσιάσει αρχικά την έννοια της "κινητής" υγείας (mobile health), καθώς και βασικές έννοιες και τεχνολογίες που συνδέονται με αυτήν. Θα αναλυθεί η σχέση της με τη βελτίωση της ποιότητας της υγείας και ειδικότερα με τη φαρμακευτική συμμόρφωση των ασθενών μέσω εφαρμογών (mobile applications) που έχουν αναπτυχθεί για έξυπνα τηλέφωνα (smartphones). Θα γίνει μια εκτενής αναφορά σε προγράμματα mHealth που έχουν πραγματοποιηθεί σε χώρες του αναπτυσσόμενου κόσμου, εστιάζοντας στα τεχνολογικά μέσα με τα οποία υλοποιήθηκαν όπως επίσης και στο σκοπό για τον οποίο έγιναν και στα αποτελέσματα που επέφερε η εφαρμογή τους. Πέρα από αυτές τις αναφορές, θα δοθεί ιδιαίτερη βαρύτητα στην έννοια της φαρμακευτικής συμμόρφωσης και τις παραμέτρους που σχετίζονται με αυτήν. Θα πραγματοποιηθεί μελέτη των σχετικών εφαρμογών για κινητά και λεπτομερής στατιστική ανάλυση των χαρακτηριστικών και των αποτελεσμάτων τους. Θα αξιολογηθούν οι εφαρμογές αυτές ως προς το επίπεδο συμμόρφωσης που κρίνεται ότι προσφέρουν ώστε να αναδυθούν οι καλύτερες και επικρατέστερες εφαρμογές και θα συγκριθούν μεταξύ τους ενδελεχώς προκειμένου να καταγραφούν τα πλεονεκτήματα και οι ελλείψεις που έχουν.The present thesis aims at first to present the meaning of mobile health, as well as the principles and the technologies which are related with it. We analyze mobile health's relation with the enhancement of the quality health level and especially with the patients' medication adherence through mobile applications for smartphones. We make an extensive report to mHealth projects which have been made in developing countries and we focus on the technological means which were used for it, as well as on the purpose for which the projects were made and on their outcome. Apart from these reports, we pay great attention to the meaning of medication adherence and its related parametres. We study relative mobile applications and we make a detailed statistical analysis of their characteristics and results. We rate these apps according to their offered compliance level, in order to present the best and most well-known apps. We compare the apps with each other in order to record their advantages and their lack of functionality which they probably have.Πέτρου Μαρί

Influence of Mortar Rheology on Aggregate Settlement

The influence of the rheology of fresh concrete on the settlement of aggregate is examined. Fresh concrete exhibits a yield stress that, under certain conditions, prevents the settlement of coarse aggregate, although its density is larger than that of the suspending mortar. Calculations, based on estimates of the yield stress obtained from slump tests, predict that aggregate normally used in concrete should not sink. To test this prediction, the settlement of a stone in fresh mortar is monitored. The stone does not sink in the undisturbed mortar (which has a high yield stress), but sinks when the mortar is vibrated, presumably due to a large reduction in its yield stress. This implies that during placement of concrete, the aggregate settles only while the concrete is being vibrated. A unique experimental method for measuring aggregate settlement is also introduced and demonstrated

Soft Networks and Emergent Topographies

Research focuses on mapping of liminal space along the Buffer Zone of Nicosia and its emerging urban identity that is revealed through documentation of inhabitation patterns over time. The process of seeing activities from the ground, through mapping and collage, expose the complex and often-invisible layers of information that exist. These processes of re-reading extend and enrich our interaction with the specific conditions of the site; the slow and seemingly insignificant and ‘unseen’ organic evolution of the site is acknowledged as a strong part of its identity. Based on premise that transformation of space provokes public action, the investigation is concerned with the search for emerging and shifting topographies. Research establishes mechanisms for discovery spaces of transformation these exist at the level of landscape, and very particular conditions of forgotten edges and points of contact with the urban environment

Bidirectional relighting for 3D-aided 2D face recognition

In this paper, we present a new method for bidirectional relighting for 3D-aided 2D face recognition under large pose and illumination changes. During subject enrollment, we build subject-specific 3D annotated models by using the subjects' raw 3D data and 2D texture. During authentication, the probe 2D images are projected onto a normalized image space using the subject-specific 3D model in the gallery. Then, a bidirectional relighting algorithm and two similarity metrics (a view-dependent complex wavelet structural similarity and a global similarity) are employed to compare the gallery and probe. We tested our algorithms on the UHDB11 and UHDB12 databases that contain 3D data with probe images under large lighting and pose variations. The experimental results show the robustness of our approach in recognizing faces in difficult situations

Regularized kernel discriminant analysis with a robust kernel for face recognition and verification

We propose a robust approach to discriminant kernel-based feature extraction for face recognition and verification. We show, for the first time, how to perform the eigen analysis of the within-class scatter matrix directly in the feature space. This eigen analysis provides the eigenspectrum of its range space and the corresponding eigenvectors as well as the eigenvectors spanning its null space. Based on our analysis, we propose a kernel discriminant analysis (KDA) which combines eigenspectrum regularization with a feature-level scheme (ER-KDA). Finally, we combine the proposed ER-KDA with a nonlinear robust kernel particularly suitable for face recognition/verification applications which require robustness against outliers caused by occlusions and illumination changes. We applied the proposed framework to several popular databases (Yale, AR, XM2VTS) and achieved state-of-the-art performance for most of our experiments

Federica Giuzio*, Maria Grazia Bonomo, Alessia Catalano*, Vittoria Infantino, Giovanni Salzano, Magnus Monné, Athina Geronikaki, Anthi Petrou, Stefano Aquaro, Maria Stefania Sinicropi#, Carmela Saturnino#

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is an RNA virus belonging to the coronavirus family responsible for coronavirus disease 2019 (COVID-19). It primarily affects the pulmonary system, which is the target of chronic obstructive pulmonary disease (COPD), for which many new compounds have been developed. In this study, phosphodiesterase 4 (PDE4) inhibitors are being investigated. The inhibition of PDE4 enzyme produces antiinflammatory and bronchodilator effects in the lung by inducing an increase in cAMP concentrations. Piclamilast and rolipram are known selective inhibitors of PDE4, which are unfortunately endowed with common side effects, such as nausea and emesis. The selective inhibition of the phosphodiesterase 4B (PDE4B) subtype may represent an intriguing technique for combating this highly contagious disease with fewer side effects. In this article, molecular docking studies for the selective inhibition of the PDE4B enzyme have been carried out on 21 in-house compounds. The compounds were docked into the pocket of the PDE4B catalytic site, and in most cases, they were almost completely superimposed onto piclamilast. Then, in order to enlarge our study, drug-likeness prediction studies were performed on the compounds under study

5,8-Dimethyl-9H-carbazole Derivatives Blocking hTopo I Activity and Actin Dynamics

Over the years, carbazoles have been largely studied for their numerous biological properties, including antibacterial, antimalarial, antioxidant, antidiabetic, neuroprotective, anticancer, and many more. Some of them have gained great interest for their anticancer activity in breast cancer due to their capability in inhibiting essential DNA-dependent enzymes, namely topoisomerases I and II. With this in mind, we studied the anticancer activity of a series of carbazole derivatives against two breast cancer cell lines, namely the triple negative MDA-MB-231 and MCF-7 cells. Compounds 3 and 4 were found to be the most active towards the MDA-MB-231 cell line without interfering with the normal counterpart. Using docking simulations, we assessed the ability of these carbazole derivatives to bind human topoisomerases I and II and actin. In vitro specific assays confirmed that the lead compounds selectively inhibited the human topoisomerase I and interfered with the normal organization of the actin system, triggering apoptosis as a final effect. Thus, compounds 3 and 4 are strong candidates for further drug development in multi-targeted therapy for the treatment of triple negative breast cancer, for which safe therapeutic regimens are not yet available