98 research outputs found

    CLASSIFICATION OF BUILDING STONES OF THE FRANGOKASTELLO CASTLE, SFAKIA, CRETE

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    Το Φραγκοκάστελλο είναι μεσαιωνικό κάστρο που χτίστηκε στο διάστημα 1371-74 από τους Βενετούς σε μια στενή παράκτια ζώνη στο νοτιοανατολικό τμήμα των Λευκών Όρεων, περίπου 12 χιλιόμετρα ανατολικά της Χώρας Σφακίων. Αυτό το τμήμα χαρακτηρίζεται από ένα έντονο μορφολογικό ανάγλυφο που η δημιουργία του καθορίστηκε από την κινητικότητα κανονικών ρηγμάτων με γενικές διευθύνσεις Α-Δ, ΒΒΑ- ΝΝΔ και ΒΒΔ-ΝΝΑ. Την περιοχή ενδιαφέροντος δομούν επιφανειακά ακολουθίες (κυρίως θαλάσσιες) του Τορτονίου, του Κάτω Πλειοκαίνου και του Κατώτερου Πλειστόκαινου. Από το Μέσο Πλειστόκαινο πολλαπλές συμφύσεις αλλουβιακών ριπιδίων κάλυψαν τόσο το αλπικό υπόβαθρο της ευρύτερης περιοχής που αποτελείται από τα μεταμορφωμένα πετρώματα της Ομάδας των Πλακωδών Ασβεστολίθων, της ενότητας Τρυπαλίου και της Φυλλιτικής Χαλαζιακής Σειράς καθώς και τους νεότερους σε ηλικία σχηματισμούς. Στρογγυλωμένα και γωνιώδη κλάσματα πετρωμάτων των αλπικών αλλά και μεταλπικών σχηματισμών που μεταφέρθηκαν και αποτέθηκαν εντός των διαφόρων τμημάτων των αλλουβιακών ριπιδίων αποτέλεσαν τους δομικούς λίθους για της κατασκευή του κάστρου. Το μικροκλίμα της περιοχής και η έντονη τεκτονική δραστηριότητα που σχετίζεται με σχετικά υψηλούς ρυθμούς ανύψωσης των ρηξιτεμαχών στην περιοχή, επηρέασαν καθοριστικά όχι μόνο την στατική του κάστρου αλλά και την αντοχή στην αποσάθρωση των δομικών του λίθων μετά την φυσική αποψίλωση μεγάλων τμημάτων του κονιάματος του εξωτερικού της τοιχοποιίας. Με βάση τα ανωτέρω στόχος της εργασίας αυτής αποτέλεσε αρχικά η συλλογή βιβλιογραφικών δεδομένων σχετικών με την στρωματογραφία και τεκτονική της περιοχής. Τα αποτελέσματα που προέκυψαν συνδυαζόμενα με τα αποτελέσματα από την καταμέρηση και στατιστική επεξεργασία των διαφόρων λιθολογικών τύπων των δομικών υλικών του κάστρου μπορούν να αποτελέσουν δεδομένα εισαγωγής μοντέλων στατικό τητας, στα πλαίσια των προτάσεων συντήρησης και αποκατάστασης του μνημείου.Frangokastello is a medieval castle which was built by the Venetians in 1371-74 in a narrow coastal zone at the southeastern part of the White Mountains, approximately 12 km east of Chora Sfakion. The region around Frangokastello characterized by a strong morphological relief, which was formed by activity of normal faults striking E-W, NNESSW and NNW-SSE. The region of interest has covered at the surface from sequences mainly marine sediments of Τortonian, Low Pliocene and Lower Pleistocene. From the Middle Pleistocene multiple alluvial fans have been cover the alpine basement of the region which consists from metamorphic rocks of the Plattenkalk Group, Trypali Unit and Phyllite Quartzite Series as well the youngest in age formations. Rounded and angular fragments of rock materials from alpine and post alpine formations transported and deposited within the various parts of alluvial fan which had deposited over the Frangokastello formation, constituted the building stones for the construction of the castle. The microclimate of the region and the intense tectonic activity associated with relatively high rates of uplift of the tectonic segments in the region, has critically affect not only the static of the castle but also the resistance from the weathering of building stones after physical dismantling large parts of the binding cement and surface from outer wall. On the basis of the above, the objective of this work is initially the collection of bibliographic data related to the stratigraphy and tectonics of the region. The results obtained, combined with the results from counting and statistical processing of various lithological types of building materials of the castle can be considered input data to form static models, in the framework of proposals for maintenance and restoration of the monument

    Materials Modelling and Modal Analysis of the Lighthouse in the Venetian Harbour of Chania

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    Short- and long-term effects of amoxicillin/clavulanic acid or doxycycline on the gastrointestinal microbiome of growing cats

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    Antibiotic treatment in early life influences gastrointestinal (GI) microbial composition and function. In humans, the resultant intestinal dysbiosis is associated with an increased risk for certain diseases later in life. The objective of this study was to determine the temporal effects of antibiotic treatment on the GI microbiome of young cats. Fecal samples were collected from cats randomly allocated to receive either amoxicillin/clavulanic acid (20 mg/kg q12h) for 20 days (AMC group; 15 cats) or doxycycline (10 mg/kg q24h) for 28 days (DOX group;15 cats) as part of the standard treatment of upper respiratory tract infection. In addition, feces were collected from healthy control cats (CON group;15 cats). All cats were approximately two months of age at enrolment. Samples were collected on days 0 (baseline), 20 or 28 (AMC and DOX, respectively; last day of treatment), 60, 120, and 300. DNA was extracted and sequencing of the 16S rRNA gene and qPCR assays were performed. Fecal microbial composition was different on the last day of treatment for AMC cats, and 1 month after the end of antibiotic treatment for DOX cats, compared to CON cats. Species richness was significantly greater in DOX cats compared to CON cats on the last day of treatment. Abundance of Enterobacteriales was increased, and that of Erysipelotrichi was decreased in cats of the AMC group on the last day of treatment compared to CON cats. The abundance of the phylum Proteobacteria was increased in cats of the DOX group on days 60 and 120 compared to cats of the CON group. Only minor differences in abundances between the treatment groups and the control group were present on day 300. Both antibiotics appear to delay the developmental progression of the microbiome, and this effect is more profound during treatment with amoxicillin/clavulanic acid and one month after treatment with doxycycline. Future studies are required to determine if these changes influence microbiome function and whether they have possible effects on disease susceptibility in cats.S1 Fig. Beta diversity indices among groups. A) Principal Coordinate Analysis of unweighted UniFrac distances of 16S rRNA genes representing the difference in microbial communities among cats treated with amoxicillin clavulanic acid (blue circles), cats treated with doxycycline (yellow circles), and healthy control cats (red circles) on days 20/28 (last day of treatment), 60, 120, and 300. B) Principal Coordinate Analysis of weighted UniFrac distances of 16S rRNA genes representing the difference in microbial communities among cats treated with amoxicillin clavulanic acid (blue circles), cats treated with doxycycline (yellow circles), and healthy control cats (red circles) on days 20/28 (last day of treatment), 60, 120, and 300.S2 Fig. Rarefaction curves for A) Chao1, B) Observed ASVs, and C) Shannon Index.S1 Table. Clinical data of cats participating to the study.S2 Table. Alpha diversity metrics (mean ± standard deviation) with summary statistics; CON, healthy cats that did not receive antibiotics; AMC, cats treated with amoxicillin/clavulanic acid for 20 days; DOX, cats treated with doxycycline for 28 days.S3 Table. Beta diversity differences based on ANOSIM analysis. CON, healthy cats that did not receive antibiotics; AMC, cats treated with amoxicillin/clavulanic acid for 20 days; DOX, cats treated with doxycycline for 28 days.S4 Table. Beta diversity differences based on PERMANOVA analysis. CON, healthy cats that did not receive antibiotics; AMC, cats treated with amoxicillin/clavulanic acid for 20 days; DOX, cats treated with doxycycline for 28 days.S5 Table. Summary statistics of sequencing data describing the mean percent and standard deviation of sequences belonging to antibiotic-treated (AMC and DOX groups) and healthy (CON group) cats.S6 Table. Summary statistics of qPCR data describing the mean log abundance and standard deviation of bacterial groups belonging to antibiotic-treated (AMC and DOX groups) and healthy (CON group) cats.The Miller Trust Award of the Winn Feline Foundation.http://www.plosone.orgam2022Production Animal Studie

    Formulation, implementation considerations, and first performance evaluation of algorithmic solutions - D4.1

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    Deliverable D4.1 del projecte Europeu OneFIT (ICT-2009-257385)This deliverable contains a first version of the algorithmic solutions for enabling opportunistic networks. The presented algorithms cover the full range of identified management tasks: suitability, creation, QoS control, reconfiguration and forced terminations. Preliminary evaluations complement the proposed algorithms. Implementation considerations towards the practicality of the considered algorithms are also included.Preprin

    Kidney organ donation: developing family practice initiatives to reverse inertia

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    <p>Abstract</p> <p>Background</p> <p>Kidney transplantation is associated with greater long term survival rates and improved quality of life compared with dialysis. Continuous growth in the number of patients with kidney failure has not been matched by an increase in the availability of kidneys for transplantation. This leads to long waiting lists, higher treatment costs and negative health outcomes.</p> <p>Discussion</p> <p>Misunderstandings, public uncertainty and issues of trust in the medical system, that limit willingness to be registered as a potential donor, could be addressed by community dissemination of information and new family practice initiatives that respond to individuals' personal beliefs and concerns regarding organ donation and transplantation.</p> <p>Summary</p> <p>Tackling both personal and public inertia on organ donation is important for any community oriented kidney donation campaign.</p

    Validation platform implementation description - D5.2

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    This deliverable describes different test-beds for the validation of the architecture, algorithms and protocols for the operator governed opportunistic networking as defined in the OneFIT Project. Further on, this deliverable provides a description of the implementation of the OneFIT cognitive management systems CSCI and CMON as well as the C4MS protocol. Also, implementation of the blocks supporting the OneFIT system (JRRM, CCM, DSONPM, and DSM) is described. This document also describes the implementation of the OneFIT scenarios for opportunistic coverage extension, opportunistic capacity extension, infrastructure supported ad-hoc networking and device-to-device communication as well as opportunistic resource aggregation in the backhaul network
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