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Artificial intelligence (AI) methods have emerged as a powerful tool to study and in some cases forecast natural disasters [1,2]. Recent works have successfully combined deep learning modeling with scientific knowledge stemming from the SAR Interferometry domain propelling research on tasks like volcanic activity monitoring [3], associated with ground deformation. A milestone in this interdisciplinary field has been the release of the Hephaestus [4] InSAR dataset, facilitating automatic InSAR interpretation, volcanic activity localization as well as the detection and categorization of atmospheric contributions in wrapped interferograms. Hephaestus contains annotations for approximately 20,000 InSAR frames, covering the 44 most active volcanoes in the world. The annotation was performed by a team of InSAR experts that manually examined each InSAR frame individually. However, even with such a large dataset, class imbalance remains a challenge, i.e. the InSAR samples containing volcano deformation fringes are orders of magnitude less than those that do not. This is anticipated since natural hazards are in principle rare in nature. To counter that, the authors of Hephaestus provide more than 100,000 unlabeled InSAR frames to be used for global large-scale self-supervised learning, which is more robust to class imbalance when compared to supervised learning [5]. Motivated by the Hephaestus dataset and the insights provided by [2], we train global, task-agnostic models in a self-supervised learning fashion that can handle distribution shifts caused by spatio-temporal variability as well as major class imbalances. By finetuning such a model to the labeled part of Hephaestus we obtain the backbone for a global volcanic activity alerting system, namely Pluto. Pluto is a novel end-to-end AI based system that provides early warnings of volcanic unrest on a global scale.Pluto automatically synchronizes its database with the Comet-LiCS [6] portal to receive newly generated Sentinel-1 InSAR data acquired over volcanic areas. The new samples are fed to our volcanic activity detection model. If volcanic activity is detected, an automatic email is sent to the service users, which contains information about the intensity, the exact location and the type (Mogi, Sill, Dyk) of the event. To ensure a robust and ever-improving service we augment Pluto with an iterative pipeline that collects samples that were misclassified in production, and uses them to further improve the existing model. [1] Kondylatos et al. "Wildfire danger prediction and understanding with Deep Learning." Geophysical Research Letters 49.17 (2022): e2022GL099368.[2] Bountos et al. "Self-supervised contrastive learning for volcanic unrest detection." IEEE Geoscience and Remote Sensing Letters 19 (2021): 1-5.[3] Bountos et al. "Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detection." IEEE Transactions on Geoscience and Remote Sensing (2022).[4] Bountos et al. "Hephaestus: A large scale multitask dataset towards InSAR understanding." Proceedings of the IEEE/CVF CVPR. 2022.[5] Liu et al. "Self-supervised learning is more robust to dataset imbalance." arXiv preprint arXiv:2110.05025 (2021).[6] Lazecký et al. "LiCSAR: An automatic InSAR tool for measuring and monitoring tectonic and volcanic activity." Remote Sensing 12.15 (2020): 2430.

Background: There is a growing body of evidence suggesting that endocervical crypt involvement by high-grade cervical intraepithelial neoplasia (CIN) may represent a risk factor for disease recurrence after cervical treatment. Objectives: To provide a systematic review and meta-analysis on whether endocervical crypt involvement by high-grade CIN on the excised cervical specimen is associated with high-grade histopathological recurrence during the follow-up of women after cervical excisional treatment. Search Strategy: We searched the Medline, Scopus, Central and Clinical Trials.gov databases from inception till June 2021. Selection Criteria: Studies that reported on women with a single cervical treatment with any method of excision for CIN2 or CIN3 lesion, negative excision margins and whose recurrence was defined histopathologically were included. Data Collection and Analysis: Two reviewers independently evaluated study eligibility. We used the fixed effects model for meta-analysis. Main Results: There were 4 eligible studies included in the present systematic review that evaluated 1088 women treated with either large loop excision of the transformation zone (LLETZ) or with cold knife conization (CKC). The between study heterogeneity was not significant. We found no significant association of endocervical crypt involvement by CIN2-3 with high-grade histopathological recurrence at follow-up after cervical excision (OR:1.93; 95%CI:0.51-3.35). The subgroup analysis of women with LLETZ cervical excision showed again no significant association with high-grade histopathological recurrence at follow-up (OR:2.00; 95%CI:0.26-3.74). Conclusions: Endocervical crypt involvement by high-grade CIN does not seem to be a risk factor for high-grade histopathological recurrence after cervical excision with negative excision margins.

The artery of Adamkiewicz (AKA) provides blood supply to the thoracolumbar spinal cord. Any disruption of the AKA can lead to the anterior spinal artery (ASA) syndrome, with devastating systematic and neurologic complications for the patient. This is a narrative review of the anatomy of AKA, the characteristics of ASA syndrome and the role of radiologic techniques in diagnosis and treatment. A detailed search of the PubMed database was conducted from January 2000 until April 2020, to locate articles relevant to our study. The references of the included studies were also retrieved in order not to miss any information. The ASA syndrome can present as a possible post-operative complication after minimally invasive or open surgeries of multiple specialties that involve the field of spine. Risk factors associated with ASA syndrome include; kyphosis of the patient, corresponding spinal surgical approach, intraoperative hypotension, multiple ligations of the AKA, a left side approach and a 360-combined or revision surgery. The incidence varies among different operations. Many different imaging modalities have been used in preoperative plan, including but not limited to computed tomography angiography, magnetic resonance angiography, and subtraction angiography. The use of computed tomography angiography or magnetic resonance angiography preoperatively can play a major role in the prevention of the ASA syndrome. However, more research needs to be done before making any final assumptions.

The new geopolitical conditions at the EC level (backed by the very recent REPowerEU regulation) as well as the vast spread of Renewable Energy Sources (RES) [2] pose new, major challenges for the electricity networks in Europe. Solutions for the optimization of local energy systems are required, enabling direct integration with distributed generation and demand as well as enhancement and optimal coordination of local flexibility resources. Such integrated solutions shall optimally combine distributed generation, demand, storage, electric vehicles and interconnections with heterogeneous local energy networks and introduce them into holistic optimization strategies to ensure operational and economic optimization of local energy systems.The main innovation of the proposed approach is the incorporation of actual and real-time data as retrieved from the physical assets as well as the application of state-of-the-art, ML-based optimization techniques for intra-portfolio optimization as well as participation in local flexibility markets. The proposed framework has been developed and deployed and is now under extensive testing at a first-of-a-kind, mid-scale demo site in Xanthi, Greece.

Το προτεινόμενο σύγγραμμα: Μαιευτική Φροντίδα Τοκετού: Από τη θεωρία στην κλινική άσκηση, μπορεί να καλύψει τις ανάγκες και απαιτήσεις του προπτυχιακού μαθήματος ‘Μαιευτική Φροντίδα Τοκετού’ που διδάσκεται αυτή τη στιγμή στα τρία τμήματα Μαιευτικής (Πανεπιστήμιο Δυτικής Μακεδονίας-Πτολεμαΐδα, Πανεπιστήμιο Δυτικής Αττικής-Αθήνα, Διεθνές Πανεπιστήμιο Ελλάδος-Θεσσαλονίκη). Τα κεφάλαια του προτεινόμενου βιβλίου είναι: Κεφάλαιο 1 Ο ρόλος της μαίας κατά την παραλαβή της επιτόκου και κατά την εισαγωγή στην αίθουσα τοκετών Κεφάλαιο 2 Φάρμακα που χρησιμοποιούνται κατά τον τοκετό Κεφάλαιο 3 Καρδιοτοκογραφία στην αίθουσα τοκετών Κεφάλαιο 4 Μαιευτική φροντίδα περινέου-Περινεοτομή Κεφάλαιο 5 Δυστοκία ώμων Κεφάλαιο 6 Ισχιακός τοκετός-Πρόπτωση ομφαλίδας Κεφάλαιο 7 Μη φαρμακολογικές μέθοδοι αντιμετώπισης του πόνου του τοκετού Κεφάλαιο 8 Φυσικές μέθοδοι ενίσχυσης του τοκετού Κεφάλαιο 9 Κολπικός τοκετός μετά από καισαρική τομή Κεφάλαιο 10 Βαρειά προεκλαμψία-εκλαμψία Κεφάλαιο 11 Ανώμαλες προβολές: Οπισθία ινιακή προβολή - Τοκετός 2ου διδύμου Κεφάλαιο 12 Αιμορραγία μετά τον τοκετό Ως προς τη θεματολογία, το προτεινόμενο βιβλίο θα καλύψει 12 αυτοτελείς ενότητες οι οποίες μπορεί να διδαχθούν στα πλαίσια του εξαμηνιαίου μαθήματος. Οι δύο συγγραφείς (κ. Παπουτσής-Παν/μιο Δυτ. Μακεδονίας, κα Αντωνάκου-Διεθνές Παν/μιο Ελλάδος) διδάσκουν ήδη το συγκεκριμένο μάθημα στα δικά τους πανεπιστημιακά τμήματα. Το προτεινόμενο σύγγραμμα υπολογίζεται πως θα έχει έκταση περίπου 300 σελίδων.

Submission note: A thesis submitted in partial fulfilment of the requirements for the degree of Doctor of Psychology in Clinical Neuropsychology to the School of Psychological Science, Faculty of Science, Technology and Engineering, La Trobe University, Bundoora.