FamilySearch

Abstract U.S. Census trends indicate significantly increased numbers of older adults and thus, a greater need for medical and mental health providers equipped to address older adult needs. Since the Building Bridges Conference in March 2021, the Building Bridges Post-Licensure (BBPL) group has been working to advance clinical practice with older adults. In 2022, we conducted a needs assessment of 80 post-licensure psychologists and identified a strong desire for gero-focused case consultation. We subsequently launched two six-month pilot consultation groups, occurring monthly for 90 minutes and led separately by a board certified geropsychologist. The groups consisted of didactic teaching, case presentation, and case discussion, focusing on foundational knowledge, assessment, and intervention geropsychology competencies. Nine licensed psychologists and one licensed clinical social worker completed consultation and eight of these participants completed the post-assessment. Most agreed consultation added value to their clinical practice (62% ‘strongly agree’; 38% ‘agree), was responsive to their professional needs (75% ‘strongly agree’; 25% ‘agree’), and 88% strongly agreed they received direction with difficult cases. Qualitative accounts of skills implemented were highlighted. This presentation will describe the BBPL’s efforts in developing these groups, including recruitment strategies, structure and format of monthly groups, and outcome measures. This approach may serve as a model for other disciplines interested in developing post-licensure training and educational opportunities for providers working with older adults.

A 45-year-old female patient presented with left knee pain after a ski accident. Magnetic Resonance Imaging (MRI) showed complete rupture of the anterior cruciate ligament, posterior cruciate ligament, proximal Medial Collateral Ligament (MCL), and medial patellofemoral ligament. The lateral meniscal root was torn with the posterior horn incarcerated superiorly into the popliteal hiatus, rendering high risk of plastic deformation. An unconventional 2-staged surgical approach was performed. Where risk of meniscal plastic deformation is high in the setting of multiligamentous knee injury (MLKI), diagnosis and careful surgical planning are central to a successful outcome. Treatment of intra-articular structures in operative stage 1 in MLKI is possible and was necessary in this case.

In this article, we present PREMIS OWL. This is a semantic formalisation of the PREMIS 2.2 data dictionary of the Library of Congress. PREMIS 2.2 are metadata implementation guidelines for digitally archiving information for the long term. Nowadays, the need for digital preservation is growing. A lot of the digital information produced merely a decade ago is in danger of getting lost as technologies are changing and getting obsolete. This also threatens a lot of information from heritage institutions. PREMIS OWL is a semantic long-term preservation schema. Preservation metadata are actually a mixture of provenance information, technical information on the digital objects to be preserved and rights information. PREMIS OWL is an OWL schema that can be used as data model supporting digital archives. It can be used for dissemination of the preservation metadata as Linked Open Data on the Web and, at the same time, for supporting semantic web technologies in the preservation processes. The model incorporates 24 preservation vocabularies, published by the LOC as SKOS vocabularies. Via these vocabularies, PREMIS descriptions from different institutions become highly interoperable. The schema is approved and now managed by the Library of Congress. The PREMIS OWL schema is published at http://www.loc.gov/premis/rdf/v1.

A live attenuated influenza A(H1N1)pdm 2009 vaccine was developed and distributed in India in 2010. We estimated the vaccine effectiveness (VE) against laboratory-confirmed pandemic H1N1 (pH1N1) infections in patients with influenza-like illness who visited five tertiary care hospitals in Pune, India during June–December 2010. Swab specimens were analyzed for influenza pH1N1 by reverse transcriptase polymerase chain reaction (RT-PCR). VE was estimated using the test-negative case-control study design and logistic regression. A total of 784 patients (253 cases, 531 controls) were analyzed. The unadjusted overall VE was 75.5% (95% confidence interval [CI] 42.1–89.7), while the adjusted VE was 76% (95% CI 42.1–89.7). We conclude that the live attenuated influenza A(H1N1)pdm 2009 vaccine was effective in our study population, which has opened prospects for using this platform for trivalent formulations.

Relation extraction has been a subject of significant study over the past decade. Most relation extractors have been developed by combining the training of complex computational systems on large volumes of annotations with extensive rule writing by language experts. Moreover, many relation extractors are reliant on other non-trivial NLP technologies which themselves are developed through significant human efforts, such as entity tagging, parsing, etc. Due to the high cost of creating and assembling the required resources, relation extractors have typically been developed for only high-resourced languages. In this paper, we describe a near-zero-cost methodology to build relation extractors for significantly distinct non-English languages using only freely available Wikipedia and other web documents, and some knowledge of English. We apply our methodology and build alma-mater, birthplace, father, occupation, and spouse relation extractors in Greek, Spanish, Russian, and Chinese. We conduct evaluations of induced relations at the file level which are the most refined we have seen in the literature.

Introduction : La PDT est une thérapeutique endoscopique à visée curative validée pour les lésions superficielles de l’œsophage type dysplasies de haut grade (DHG) et/ou carcinome intra-muqueux (CIM). Elle est maintenant régulièrement utilisée à visée palliative en association avec les prothèses biliaires dans le traitement des cholangiocarcinomes non résécables. Objectif : réaliser un guide pratique de la PDT dans ses différentes applications en cancérologie digestive. Méthode : Le principe de la PDT et les indications actuelles sont rappelées et les étapes successives pour une bonne exécution de la méthode sont détaillées. Sur le plan réglementaire, en cas de cancer les dossiers doivent être discutés collégialement en Réunion de Concertation Pluridisciplinaire (RCP). La décision est suivie par l’information du patient sur l’avis thérapeutique lors d’une consultation d’annonce. Les précautions générales pour le patient et tout le personnel intervenant de l’établissement sont précisés pour éviter les risques dus à l’utilisation du laser et connaître les consignes de sécurité concernant la photosensibilisation cutanée. Le suivi des patients nécessite de respecter les délais proposés selon un calendrier adapté à chaque pathologie traitée. Résultats globaux des études : L’efficacité sur le long terme est élevée de l’ordre d’environ 80 % pour l’ensemble des auteurs. A titre informatif dans ma série de 62 patients traités de 1995 à 2011, les succès ont été de 82 % dans les DHG sur EBO et de 67 % sur la muqueuse malpighienne. Une seule sténose constatée sur 41 patients traités pour DHG sur EBO, et pour lesquels 91 séances de PDT ont été effectuées. Conclusion : Un guide pratique de la photothérapie dynamique est proposé avec une perspective nouvelle méritant d’être soulignée. Bien que les sténoses œsophagiennes soient un effet indésirable très fréquemment rapporté, elles peuvent être pratiquement éliminées en traitant la même surface mais en deux temps en utilisant des diffuseurs fenêtrés permettant l’irradiation d’une demi-circonférence la première séance de PDT suivi à 3 mois d’intervalle par l’irradiation de l’autre demi-circonférence.

FamilySearch has the goal to preserve and publish the worlds vital records. In a presentation last year, Archives members were shown how FamilySearch's dCam-X tool can speed up and improve the process of capturing digital images. The next step is to publish the records online with useful metadata, making them accessible to the public as quickly as possible.FamilySearch is committed to digitally publishing the records it captures. The key to doing this on a large scale is identifying, gathering and processing metatdata about the content of the records being captured.

In this paper, the authors present a new self-learning fuzzy neural network controller based on reference model. Based on the difference between the output of the reference model and that of the real control process, a gradient descent learning algorithm completes the real-time online modification of the parameters of the fuzzy-neural network hybrid system. The simulation experiments based on the inverted pendulum proved the effectiveness and performance of this new scheme.