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  1. Article: Tommy John Ligament Repair with Ulnar Collateral Ligament Internal Brace.

    Guzman, Alvarho / Williams, Nicholas / Francisco, Raia / Reed, Lena / Cheng, Samantha J / Waldron, Patrick / Vallelanes, Ethan / McGahan, Patrick / Chen, James L

    Arthroscopy techniques

    2023  Volume 13, Issue 1, Page(s) 102830

    Abstract: Ulnar collateral ligament (UCL) injuries commonly occur in overhead athletes as a result of excess valgus stress on the elbow and can be functionally debilitating, requiring surgical intervention. Since the advent of the first initial UCL reconstruction ... ...

    Abstract Ulnar collateral ligament (UCL) injuries commonly occur in overhead athletes as a result of excess valgus stress on the elbow and can be functionally debilitating, requiring surgical intervention. Since the advent of the first initial UCL reconstruction technique pioneered by Dr. Frank Jobe performed on professional baseball player Tommy John, UCL, or Tommy John Ligament reconstruction has successfully returned athletes to sport following injury and shown enhanced clinical outcomes with minimal complication rates. Tommy John surgery continues to evolve with the development of various techniques over recent years. This technical note describes a UCL repair with an internal brace using knotless suture anchors and aims to contribute to the current literature a technique that is efficacious and reproducible and offers satisfactory stability, functionality, and return to play.
    Language English
    Publishing date 2023-12-25
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2653101-X
    ISSN 2212-6287
    ISSN 2212-6287
    DOI 10.1016/j.eats.2023.09.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Biceps femoris accessory tendon tenodesis: A case report.

    Fong, Scott / Wu, Didi / Reed, Lena / Cheng, Samantha / Cantave, Kyle / Chen, Hanyu / McGahan, Patrick / Chen, James L

    Clinical case reports

    2023  Volume 11, Issue 10, Page(s) e7984

    Abstract: Key clinical message: We present a case of lateral knee pain from snapping of an accessory tendinous insertion of the biceps femoris. After failure of conservative treatment options, tenodesis of the accessory band to the direct arm insertion at the ... ...

    Abstract Key clinical message: We present a case of lateral knee pain from snapping of an accessory tendinous insertion of the biceps femoris. After failure of conservative treatment options, tenodesis of the accessory band to the direct arm insertion at the posterolateral edge of the fibular head effectively resolved symptoms.
    Abstract: There are several distinct causes of lateral knee pain including IT band syndrome, meniscus tears, or other soft tissue pathologies; however, a few case reports have shown the biceps femoris as a cause of lateral knee pain and snapping. Conservative treatment is of modest benefit to the patient in these scenarios, and an MRI is not always able to identify the accessory band, as in our case. Intraoperatively, we discovered an accessory band of the biceps femoris attaching to the anterolateral tibia, causing pain and snapping during knee flexion as the band passed over the fibular head. There have been various surgical attempts to address this pathology; however, we report a successful outcome after tenodesis of the accessory band to the direct insertion at the posterolateral fibular head.
    Language English
    Publishing date 2023-10-09
    Publishing country England
    Document type Case Reports
    ZDB-ID 2740234-4
    ISSN 2050-0904
    ISSN 2050-0904
    DOI 10.1002/ccr3.7984
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Jurassic is (almost) All You Need

    Reed, Lena / Li, Cecilia / Ramirez, Angela / Wu, Liren / Walker, Marilyn

    Few-Shot Meaning-to-Text Generation for Open-Domain Dialogue

    2021  

    Abstract: One challenge with open-domain dialogue systems is the need to produce high-quality responses on any topic. We aim to improve the quality and coverage of Athena, an Alexa Prize dialogue system. We utilize Athena's response generators (RGs) to create ... ...

    Abstract One challenge with open-domain dialogue systems is the need to produce high-quality responses on any topic. We aim to improve the quality and coverage of Athena, an Alexa Prize dialogue system. We utilize Athena's response generators (RGs) to create training data for two new neural Meaning-to-Text RGs, Athena-GPT-Neo and Athena-Jurassic, for the movies, music, TV, sports, and video game domains. We conduct few-shot experiments, both within and cross-domain, with different tuning set sizes (2, 3, 10), prompt formats, and meaning representations (MRs) for sets of WikiData KG triples, and dialogue acts with 14 possible attribute combinations. Our evaluation uses BLEURT and human evaluation metrics, and shows that with 10-shot tuning, Athena-Jurassic's performance is significantly better for coherence and semantic accuracy. Experiments with 2-shot tuning on completely novel MRs results in a huge performance drop for Athena-GPT-Neo, whose semantic accuracy falls to 0.41, and whose untrue hallucination rate increases to 12%. Experiments with dialogue acts for video games show that with 10-shot tuning, both models learn to control dialogue acts, but Athena-Jurassic has significantly higher coherence, and only 4% untrue hallucinations. Our results suggest that Athena-Jurassic can reliably produce outputs of high-quality for live systems with real users. To our knowledge, these are the first results demonstrating that few-shot tuning on a massive language model can create NLGs that generalize to new domains, and produce high-quality, semantically-controlled, conversational responses directly from MRs and KG triples.

    Comment: The 12th International Workshop on Spoken Dialog System Technology, IWSDS 2021
    Keywords Computer Science - Computation and Language
    Publishing date 2021-10-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: Learning from Mistakes

    Reed, Lena / Harrison, Vrindavan / Oraby, Shereen / Hakkani-Tur, Dilek / Walker, Marilyn

    Combining Ontologies via Self-Training for Dialogue Generation

    2020  

    Abstract: Natural language generators (NLGs) for task-oriented dialogue typically take a meaning representation (MR) as input. They are trained end-to-end with a corpus of MR/utterance pairs, where the MRs cover a specific set of dialogue acts and domain ... ...

    Abstract Natural language generators (NLGs) for task-oriented dialogue typically take a meaning representation (MR) as input. They are trained end-to-end with a corpus of MR/utterance pairs, where the MRs cover a specific set of dialogue acts and domain attributes. Creation of such datasets is labor-intensive and time-consuming. Therefore, dialogue systems for new domain ontologies would benefit from using data for pre-existing ontologies. Here we explore, for the first time, whether it is possible to train an NLG for a new larger ontology using existing training sets for the restaurant domain, where each set is based on a different ontology. We create a new, larger combined ontology, and then train an NLG to produce utterances covering it. For example, if one dataset has attributes for family-friendly and rating information, and the other has attributes for decor and service, our aim is an NLG for the combined ontology that can produce utterances that realize values for family-friendly, rating, decor and service. Initial experiments with a baseline neural sequence-to-sequence model show that this task is surprisingly challenging. We then develop a novel self-training method that identifies (errorful) model outputs, automatically constructs a corrected MR input to form a new (MR, utterance) training pair, and then repeatedly adds these new instances back into the training data. We then test the resulting model on a new test set. The result is a self-trained model whose performance is an absolute 75.4% improvement over the baseline model. We also report a human qualitative evaluation of the final model showing that it achieves high naturalness, semantic coherence and grammaticality

    Comment: main paper 9 pages, 3 pages references, 2 pages supplementary material
    Keywords Computer Science - Computation and Language
    Subject code 004
    Publishing date 2020-09-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Book ; Online: Athena 2.0

    Juraska, Juraj / Bowden, Kevin K. / Reed, Lena / Harrison, Vrindavan / Cui, Wen / Patil, Omkar / Rajasekaran, Rishi / Ramirez, Angela / Li, Cecilia / Zamora, Eduardo / Lee, Phillip / Bheemanpally, Jeshwanth / Pandey, Rohan / Ratnaparkhi, Adwait / Walker, Marilyn

    Contextualized Dialogue Management for an Alexa Prize SocialBot

    2021  

    Abstract: Athena 2.0 is an Alexa Prize SocialBot that has been a finalist in the last two Alexa Prize Grand Challenges. One reason for Athena's success is its novel dialogue management strategy, which allows it to dynamically construct dialogues and responses from ...

    Abstract Athena 2.0 is an Alexa Prize SocialBot that has been a finalist in the last two Alexa Prize Grand Challenges. One reason for Athena's success is its novel dialogue management strategy, which allows it to dynamically construct dialogues and responses from component modules, leading to novel conversations with every interaction. Here we describe Athena's system design and performance in the Alexa Prize during the 20/21 competition. A live demo of Athena as well as video recordings will provoke discussion on the state of the art in conversational AI.

    Comment: Accepted to EMNLP 2021 System Demonstrations
    Keywords Computer Science - Computation and Language
    Publishing date 2021-11-03
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book: The new complete bloodhound

    Brey, Catherine F / Reed, Lena F

    1991  

    Author's details Catherine F. Brey & Lena F. Reed
    Keywords Bloodhounds.
    Language English
    Size xii, 260 p. :, ill. ;, 25 cm.
    Publisher Howell Book House ; Maxwell Macmillan Canada ; Maxwell Macmillan International
    Publishing place New York ; Toronto
    Document type Book
    Note Updated ed. of: The complete bloodhound. 1st ed. 1978. ; "A Howell dog book of distinction."
    ISBN 0876050771 ; 9780876050774
    Database NAL-Catalogue (AGRICOLA)

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