Collaboration, Communication, and Outreach - Finding interesting ways to collaborate with non-Library Departments and engage students

Collaboration, Communication, and Outreach - Finding interesting ways to collaborate with non-Library Departments and engage students. Examples of collaborations: Mindfulness event with a Faculty member who is a Buddhist monk, Resume and Cover Letter Clinics with Career Services and the Writing Center, New student mini golf at the library working with Student Services, Book Club with Extended Learning/OLLI students, and more in planning phases. It\u27s a matter of stressing the importance of library as place while working with other departments on campus. It is amazing what you will learn

An unknown work by George Klontzas: the icon of St. George the Dragonslayer in Corfu

Η σχετικά άγνωστη εικόνα του αγίου Γεωργίου δρακοντοκτόνου φυλάσσεται στον ναό των Αγίων Πατέρων στην πόλη της Κέρκυρας. Ο τρόπος απεικόνισης του αγίου Γεωργίου, η απόδοση μορφών με δυτικότροπα ρεαλιστικά χαρακτηριστικά, η έντονη διακοσμητική διάθεση, τα είδη των πανοπλιών, η ιπποσκευή και συγκεκριμένα αρχιτεκτονικά στοιχεία συνδέουν την εικόνα με το έργο του Γεωργίου Κλόντζα. Τα εικονογραφικά και τεχνοτροπικά χαρακτηριστικά οδηγούν στην αναγνώρισή της ως αυτόγραφο έργο του Γεωργίου Κλόντζα και στη χρονολόγησή της στο τελευταίοτέταρτο του 16ου αιώνα.The relatively unknown icon of St. George the Dragonslayer is kept in the Church of Aghioi Pateres (the Holy Fathers) in the town of Corfu. The manner in which St. George is depicted, the portrayal of figures with realistic Western-style features, the pronounced decorative tendency, types of armour, horse’s tack and certain architectural features all connect this icon with the work of George Klontzas. The icon’s iconographical and stylistic features suggest that it was executed by George Klontzas himself and indicate a dating to the last quarter of the 16th century

An unknown work by George Klontzas: the icon of St. George the Dragonslayer in Corfu

Η σχετικά άγνωστη εικόνα του αγίου Γεωργίου δρακοντοκτόνου φυλάσσεται στον ναό των Αγίων Πατέρων στην πόλη της Κέρκυρας. Ο τρόπος απεικόνισης του αγίου Γεωργίου, η απόδοση μορφών με δυτικότροπα ρεαλιστικά χαρακτηριστικά, η έντονη διακοσμητική διάθεση, τα είδη των πανοπλιών, η ιπποσκευή και συγκεκριμένα αρχιτεκτονικά στοιχεία συνδέουν την εικόνα με το έργο του Γεωργίου Κλόντζα. Τα εικονογραφικά και τεχνοτροπικά χαρακτηριστικά οδηγούν στην αναγνώρισή της ως αυτόγραφο έργο του Γεωργίου Κλόντζα και στη χρονολόγησή της στο τελευταίοτέταρτο του 16ου αιώνα.The relatively unknown icon of St. George the Dragonslayer is kept in the Church of Aghioi Pateres (the Holy Fathers) in the town of Corfu. The manner in which St. George is depicted, the portrayal of figures with realistic Western-style features, the pronounced decorative tendency, types of armour, horse’s tack and certain architectural features all connect this icon with the work of George Klontzas. The icon’s iconographical and stylistic features suggest that it was executed by George Klontzas himself and indicate a dating to the last quarter of the 16th century

SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification

Automatic classification of epileptic seizure types in electroencephalograms (EEGs) data can enable more precise diagnosis and efficient management of the disease. This task is challenging due to factors such as low signal-to-noise ratios, signal artefacts, high variance in seizure semiology among epileptic patients, and limited availability of clinical data. To overcome these challenges, in this paper, we present SeizureNet, a deep learning framework which learns multi-spectral feature embeddings using an ensemble architecture for cross-patient seizure type classification. We used the recently released TUH EEG Seizure Corpus (V1.4.0 and V1.5.2) to evaluate the performance of SeizureNet. Experiments show that SeizureNet can reach a weighted F1 score of up to 0.94 for seizure-wise cross validation and 0.59 for patient-wise cross validation for scalp EEG based multi-class seizure type classification. We also show that the high-level feature embeddings learnt by SeizureNet considerably improve the accuracy of smaller networks through knowledge distillation for applications with low-memory constraints

HIV-Associated Tuberculosis: Diagnostic and Treatment Challenges

Tuberculosis (TB) and the human immunodeficiency virus (HIV) are, individually, two of the world's greatest ongoing public health threats. In combination, the two diseases can be even more devastating. HIV significantly increases an individual's chances of reactivation of latent TB infection and progression to active TB disease. HIV's associated immunosuppression makes it more difficult to diagnose active TB due to a higher likelihood of atypical and extrapulmonary presentation and poorer performance of standard diagnostic tools. TB is the major cause of death in individuals infected with HIV, and the combination of both illnesses creates unique treatment challenges for providers due to interactions between antituberculous and antiretroviral medications, overlapping drug toxicities, and the immune reconstitution inflammatory syndrome. Magnifying these challenges even further is the fact that much of the burden of TB/HIV coinfection exists in some of the world's most resource-limited settings. Concerted efforts are needed to identify rapid and accurate diagnostic tools for active TB disease and latent TB infection (LTBI) that are practical and inexpensive and that perform well in individuals with HIV infection. Also needed are effective and feasible strategies to optimize management of both conditions in the coinfected patient

New Models for Medical Education: Web-Based Conferencing to Support HIV Training in Sub-Saharan Africa

Background: Healthcare workers in Africa managing human immunodeficiency virus (HIV)-infected patients often receive inadequate HIV-specific medical education. The acceptability and feasibility of Web-based distance learning tools to enhance HIV training in Africa have not been extensively evaluated. Materials and Methods: In this prospective observational study, we assessed the feasibility of Web-conferencing to deliver HIV-specific medical training to clinicians supporting HIV care and treatment across 12 Sub-Saharan African countries over a 10-month period. Webinar attendance, technical quality, and participant satisfaction were measured for each Webinar. Demographic details about participants were recorded. Results: Attendance increased from 40 participants in Month 1 to over 160 in Month 10. Thirty-six percent of participants were physicians, and 21% were in allied health professions. A mean of 95% of respondents found the content to be relevant. Participants reported that the opportunity to interact with HIV clinicians from other countries and expert teaching from leading scientists were major reasons for attendance. Audio quality was variable across countries and over time. Barriers to attendance included lack of information technology (IT) literacy and Internet connectivity. Conclusions: This analysis demonstrates that Webinars are feasible and acceptable to support HIV training. Significant impediments to scale up in use of Web-conferencing for HIV education in resource-limited settings include lack of IT hardware and limited IT literacy. Strengthening IT capacity and Internet infrastructure is necessary to support expanded use of Webinars as a tool for continuing HIV education