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Deliverable Number Title D1.1 EPQ - Requirement No. 1 D2.1 Data Management Plan D3.1 Project Management Plan D3.2 Progress Report (M6) D3.3 Progress Report (M12) D3.4 Progress Report (M18) D3.5 Final Report D4.1 Online dissemination D4.2 Final commercialisation plan D5.1 POFBG sensors for UCY D5.2 POFBG sensors for UA D5.3 POFBG sensors for TA D6.1 Evaluation Report D7.1 Final Evaluation Report Deliverable Number Description D1.1 Copies of authorisations for relevant facilities (e.g., security classification of laboratory) must be kept on file. The host organisation must demonstrate that appropriate health and safety procedures conforming to relevant local/national guidelines/legislation are followed for staff involved in this project. D2.1 The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. D3.1 Standardized procedures for internal and external communication, reporting and dissemination activities. Risk contingency plan should be also drafted to identify and confront potential risks during the project. D3.2 First project progress reporting to evaluate the performance of project. D3.3 Second project progress reporting to evaluate the performance of project. D3.4 Third project progress reporting to evaluate the performance of project. D3.5 Final report to summarise the project activities, achievements and outcomes. D4.1 Creation of website, Facebook page, and LinkedIn group D4.2 Plan for future exploitation of these project results will be drafted D5.1 The sensors will be provided to WP6 for testing in intended environment with UCY. D5.2 The sensors will be provided to WP6 for testing in intended environment with UP. D5.3 The sensors will be provided to WP7 for testing in operational environment with TA. D6.1 Detailed report by the end of the work package for performance evaluation and improvement recommendations. D7.1 Detailed report by the end of the work package for performance evaluation and improvement recommendations. All deliverables will be kept confidential until further notice.

The data demonstrate reinforced concrete and soil prototype sensing devices used in an operational environment. The data will be kept confidential for Intellectual Property and exploitation purposes until further notice.

The data demonstrate various prototype sensing devices used in intended environment, which can monitor concrete curing during casting and bond-slip at the interface between rebar and concrete during pull-out tests. The data will be kept confidential for Intellectual Property and exploitation purposes until further notice.

The data are related to the characterization of Polymer Optical Fiber Bragg Grating sensors in order to define their sensitivity to strain, temperature, and humidity.

The data demonstrate the methodology to fabricate Polymer Optical Fiber Bragg Grating sensors using the plane-by-plane femtosecond laser inscription method.

The ‘Black Gold ‘of Cyprus that is the common name for the Carob tree (Ceratonia siliqua) in Cyprus. Originating from today’s Syria it spread because of the functionality of its fruits across the world and especially in the Mediterranean basin where it is a native part of the flora and flourishes when cultivated in the Mediterranean climate. The carob pods have been used by humans for feeding them and their animals for thousands of years. They are rich in fibres, minerals, amino acids, and polyphenols, the most prevalent of which are condensed tannins. According to FAOSTAT the biggest producer of carobs in the world is Portugal followed by Italy, Morocco, Greece, Turkey and of course the island of Cyprus. Despite its decline in recent years the production of carobs in Cyprus is still substantial Literature states that carob pods can be added to the animal feed depending on species. Small ruminants have been provided with 24 to 56% carob pulp in their animal feed with or without the addition of polyethylene glycol (PEG) with various effects on performance, feed digestion, consumption and intake, welfare, and meat. In monogastric animals’ carobs were added at small quantities at 10-15% for pigs, 2.5-10% for rabbits, and 3-7% for chickens. In general meat quality in the form of increased polysaturated fatty acids (PUFA) without extensive hinderance on the performance and welfare of the animals. Completed

Social networks have become an indispensable part of our daily lives, allowing us to connect with friends and family, share experiences and ideas, and stay informed about current events. However, the use of social networks also carries potential risks, particularly with the spread of harmful content such as hate speech, cyberbullying, and fake news. This has led to an increasing need for social network administrators to develop efficient methods for identifying and removing harmful content. Traditional methods for identifying and removing harmful content are often based on manual review and reporting by users, which can be time-consuming and unreliable. As social networks continue to grow in size and complexity, this approach is becoming increasingly challenging, and administrators are turning to machine learning techniques as a more effective solution. Machine learning algorithms can be trained to automatically analyze large amounts of data generated in social networks and identify patterns that distinguish harmful content from normal content. These algorithms can also adapt and evolve over time as new types of harmful content emerge, providing a more dynamic and responsive solution to the problem. This study aims to explore the application of machine learning techniques to classify harmful and normal client data in social networks. The focus will be on developing and evaluating models that can accurately distinguish harmful data from normal data. This will involve the use of various machine learning techniques, such as supervised and unsupervised learning, and feature engineering to extract relevant information from the data. Using unsupervised algorithms aimed at detecting Harmful and Normal clients on social networks, the outcomes of this study have the potential to contribute to the development of more effective solutions for identifying and removing harmful content in social networks. This could ultimately lead to a safer and more secure online environment for users and help to mitigate the negative effects of harmful content on individuals and society as a whole. Completed

Building Information Modelling (BIM) and Digital Twins (DT) technologies are gaining popularity in the Architecture, Engineering and Construction industry. In order to keep the industry aware of BIM and Digital Twins, it was considered essential to introduce the definitions, implementations, benefits and challenges. Furthermore, to review the development of BIM and Digital Twins, it was necessary to present the history of these technologies. In addition, up until now, BIM dimensions can only support 3D and 4D. The current implementation of BIM and Digital Twins in the Architecture, Engineering and Construction industry are limited. Moreover, Extended Reality (XR) can be used within BIM and is presented as an immersive technology which includes three categories (Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR)). Smart city technologies, such as City Digital Twins and integrating Digital Twins with the GIS, were also reviewed. Finally, as there are similarities between BIM and Digital Twins, it was important to indicate the differences between these technologies and when each is implemented. Completed

Undoubtedly, the internet has become an integral part of modern man, itself a source of knowledge for the construction of technologies that will bring automation and convenience to the lives of today’s man. The internet is a double-edged sword. It can be used to facilitate our daily lives, but it can also be used for malicious actions. Nowadays, rapid growth has resulted in the continuous development of technologies. So every day, they are finding weaknesses in these technologies and, at the same time, developing various ways to do malicious actions. The present paper references the problem we are facing in modern society. The issue of inadequate security shielding in all age groups. The study was mainly based on creating an interface application for IPS systems to generate statistics in live time about risks that our IPS system faces. This paper focuses on the Suricata IDS/IPS tools, docker, and ELK stack so that the creation of the application other and quality security is explained. The general problem is essential, affecting organizations, companies and ordinary people. We experimented to see the efficiency of this work with many pcap file datasets to evaluate the application’s performance and usability. Completed

The two-spotted spider mite (Tetranychus urticae) is a major pest of many cultivated plants due to its wide host range and resistance to various acaricides. Farmers around the world have observed that plants growing along dirt roads or quarries tend to accumulate more T. urticae than those further away. This study aimed to investigate whether dust affects the population growth and behaviour of T. urticae. I conducted an experiment using bean plants (Phaseolus vulgaris), where some plants were exposed to dust while others were kept as controls. I transferred twenty female T. urticae to each plant and seven days later I counted the eggs and mobile stages of the species on both leaf sides. Dust did not significantly affect the overall population size of T. urticae. However, there was a statistically significant difference in the number of mobile stages and eggs between the upper and lower leaf side in the two treatments. On control plants, there was a greater number of eggs and mobile stages on the lower compared to the upper leaf side, whereas in dusted plants the opposite was true. Dusted plants had a higher amount of dust on the upper compared to the lower leaf side. The findings show a preference towards dusted surfaces by T. urticae and provide insights into the effects of dust on its ecology and behaviour. Further research is needed to understand the role of dust in T. urticae outbreaks, including the effects of dust on biological control of the species. Ο δίστικος τετράνυχος (Tetranychus urticae) αποτελεί σημαντικό εχθρό πολλών καλλιεργούμενων φυτών, λόγω του μεγάλου εύρους ξενιστών του και της ανθεκτικότητας που εμφανίζει σε ακαρεοκτόνα. Αγρότες σε όλο τον κόσμο έχουν παρατηρήσει ότι τα φυτά που αναπτύσσονται κατά μήκος χωματόδρομων ή κοντά σε λατομεία τείνουν να εμφανίζουν μεγαλύτερους πληθυσμούς του T. urticae από εκείνα που έχουν μικρότερη έκθεση σε σκόνη. Η παρούσα μελέτη είχε ως στόχο να διερευνήσει κατά πόσον η σκόνη επηρεάζει τον πληθυσμό του T. urticae. Στο πείραμα που πραγματοποιήθηκε, χρησιμοποιήθηκαν φυτά φασολιάς (Phaseolus vulgaris) εκ των οποίων ορισμένα εκτέθηκαν σε σκόνη, ενώ άλλα διατηρήθηκαν ως μάρτυρες. Στη συνέχεια, 20 ενήλικα θηλυκά του T. urticae μεταφέρθηκαν και στις δύο μεταχειρίσεις και διατηρήθηκαν στο φυτό για επτά ημέρες. Μετά την πάροδο των επτά ημερών μετρήθηκαν τα κινητά στάδια και τα αυγά του T. urticae. Τα ευρήματά έδειξαν ότι η σκόνη δεν επηρέασε σημαντικά τον συνολικό πληθυσμό του T. urticae. Ωστόσο, παρατηρήθηκαν στατιστικά σημαντικές διαφορές στην κατανομή των ατόμων και των αυγών του είδους στην άνω και κάτω επιφάνεια των φύλλων. Στην περίπτωση του μάρτυρα, τα περισσότερα άτομα και αυγά ήταν στην κάτω επιφάνεια, ενώ στην περίπτωση της μεταχείρισης της σκόνης, τα περισσότερα άτομα και αυγά βρίσκονταν στην άνω επιφάνεια των φύλλων, που είχε μεγαλύτερες ποσότητες σκόνης. Χρειάζεται περαιτέρω έρευνα για να κατανοηθεί ο πιθανός ρόλος της σκόνης στην αύξηση του πληθυσμού του T. urticae. Για παράδειγμα, θα ήταν ενδιαφέρον να διερευνηθεί κατά πόσον η σκόνη παρέχει προστασία στον T. urticae ή έχει αρνητική επίδραση στους φυσικούς εχθρούς του. Completed