LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 719

Search options

  1. Article ; Online: Paclitaxel-Eluting Devices for Femoropopliteal Disease: Drastic Advance in Therapy or a Danger to Our Patients?

    Laird, John R

    Journal of the American College of Cardiology

    2019  Volume 74, Issue 2, Page(s) 216–218

    MeSH term(s) Drug-Eluting Stents ; Femoral Artery ; Humans ; Paclitaxel ; Popliteal Artery
    Chemical Substances Paclitaxel (P88XT4IS4D)
    Language English
    Publishing date 2019-09-09
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 605507-2
    ISSN 1558-3597 ; 0735-1097
    ISSN (online) 1558-3597
    ISSN 0735-1097
    DOI 10.1016/j.jacc.2019.05.050
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Book ; Online: Exploiting Language Models as a Source of Knowledge for Cognitive Agents

    Kirk, James R. / Wray, Robert E. / Laird, John E.

    2023  

    Abstract: Large language models (LLMs) provide capabilities far beyond sentence completion, including question answering, summarization, and natural-language inference. While many of these capabilities have potential application to cognitive systems, our research ... ...

    Abstract Large language models (LLMs) provide capabilities far beyond sentence completion, including question answering, summarization, and natural-language inference. While many of these capabilities have potential application to cognitive systems, our research is exploiting language models as a source of task knowledge for cognitive agents, that is, agents realized via a cognitive architecture. We identify challenges and opportunities for using language models as an external knowledge source for cognitive systems and possible ways to improve the effectiveness of knowledge extraction by integrating extraction with cognitive architecture capabilities, highlighting with examples from our recent work in this area.

    Comment: 9 pages, 4 figures, 2 tables. AAAI FSS on Integrating Cognitive Architecture and Generative Models
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Computation and Language ; I.2.7 ; I.2.11
    Publishing date 2023-09-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  3. Article ; Online: Thiolated Janus Silsesquioxane Tetrapod: New Precursors for Functional Materials.

    Laird, Mathilde / Carcel, Carole / Unno, Masafumi / Bartlett, John R / Wong Chi Man, Michel

    Molecules (Basel, Switzerland)

    2022  Volume 27, Issue 22

    Abstract: Herein, we report synthetic strategies for the development of a bifunctional Janus ... ...

    Abstract Herein, we report synthetic strategies for the development of a bifunctional Janus T
    MeSH term(s) Polymerization ; Sulfhydryl Compounds ; Magnetic Resonance Spectroscopy
    Chemical Substances Sulfhydryl Compounds
    Language English
    Publishing date 2022-11-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules27227680
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Leaving Nothing Behind: Bioresorbable Vascular Scaffolds for Femoropopliteal Disease.

    Laird, John R / Singh, Gagan D

    JACC. Cardiovascular interventions

    2016  Volume 9, Issue 11, Page(s) 1188–1190

    Language English
    Publishing date 2016-06-13
    Publishing country United States
    Document type Editorial
    ZDB-ID 2452157-7
    ISSN 1876-7605 ; 1936-8798
    ISSN (online) 1876-7605
    ISSN 1936-8798
    DOI 10.1016/j.jcin.2016.04.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Drug-eluting stents in the superficial femoral artery: seeing is believing.

    Laird, John R / Loja, Melissa N

    EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology

    2016  Volume 12, Issue 12, Page(s) 1443–1445

    Language English
    Publishing date 2016--20
    Publishing country France
    Document type Journal Article ; Comment
    ZDB-ID 2457174-X
    ISSN 1969-6213 ; 1774-024X
    ISSN (online) 1969-6213
    ISSN 1774-024X
    DOI 10.4244/EIJV12I12A238
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Drug-Eluting Stents in the Superficial Femoral Artery: The Long and Winding Road.

    Laird, John R / Hong, Michael

    Circulation

    2016  Volume 133, Issue 15, Page(s) 1435–1437

    MeSH term(s) Angioplasty, Balloon ; Drug-Eluting Stents ; Femoral Artery ; Humans ; Popliteal Artery ; Stents ; Treatment Outcome
    Language English
    Publishing date 2016-04-12
    Publishing country United States
    Document type Comment ; Editorial
    ZDB-ID 80099-5
    ISSN 1524-4539 ; 0009-7322 ; 0069-4193 ; 0065-8499
    ISSN (online) 1524-4539
    ISSN 0009-7322 ; 0069-4193 ; 0065-8499
    DOI 10.1161/CIRCULATIONAHA.116.022039
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Book ; Online: Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks

    Kirk, James R. / Wray, Robert E. / Lindes, Peter / Laird, John E.

    2022  

    Abstract: Autonomous agents are able to draw on a wide variety of potential sources of task knowledge; however current approaches invariably focus on only one or two. Here we investigate the challenges and impact of exploiting diverse knowledge sources to learn ... ...

    Abstract Autonomous agents are able to draw on a wide variety of potential sources of task knowledge; however current approaches invariably focus on only one or two. Here we investigate the challenges and impact of exploiting diverse knowledge sources to learn online, in one-shot, new tasks for a simulated office mobile robot. The resulting agent, developed in the Soar cognitive architecture, uses the following sources of domain and task knowledge: interaction with the environment, task execution and search knowledge, human natural language instruction, and responses retrieved from a large language model (GPT-3). We explore the distinct contributions of these knowledge sources and evaluate the performance of different combinations in terms of learning correct task knowledge and human workload. Results show that an agent's online integration of diverse knowledge sources improves one-shot task learning overall, reducing human feedback needed for rapid and reliable task learning.

    Comment: 20 pages, 3 figures. (Added technical appendix based on reviewer feedback.)
    Keywords Computer Science - Artificial Intelligence ; I.2.7 ; I.2.11
    Subject code 004
    Publishing date 2022-08-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  8. Article ; Online: Endovascular treatment of common femoral artery disease viable alternative to surgery or just another short-term fix.

    Laird, John R

    Journal of the American College of Cardiology

    2011  Volume 58, Issue 8, Page(s) 799–800

    MeSH term(s) Angioplasty, Balloon ; Arterial Occlusive Diseases/therapy ; Atherosclerosis/therapy ; Female ; Femoral Artery ; Humans ; Male ; Stents
    Language English
    Publishing date 2011-08-16
    Publishing country United States
    Document type Comment ; Editorial
    ZDB-ID 605507-2
    ISSN 1558-3597 ; 0735-1097
    ISSN (online) 1558-3597
    ISSN 0735-1097
    DOI 10.1016/j.jacc.2011.01.071
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Leveraging Data Science to Advance Implementation Science: The Case of School Mental Health.

    Carlson, Catherine / White, Susan W / Hudnall, Matthew / Lochman, John / Laird, Robert

    The Journal of school health

    2023  Volume 93, Issue 11, Page(s) 1045–1048

    Language English
    Publishing date 2023-08-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 952835-0
    ISSN 1746-1561 ; 0022-4391
    ISSN (online) 1746-1561
    ISSN 0022-4391
    DOI 10.1111/josh.13385
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Book ; Online: Language Models as a Knowledge Source for Cognitive Agents

    Wray, III, Robert E. / Kirk, James R. / Laird, John E.

    2021  

    Abstract: Language models (LMs) are sentence-completion engines trained on massive corpora. LMs have emerged as a significant breakthrough in natural-language processing, providing capabilities that go far beyond sentence completion including question answering, ... ...

    Abstract Language models (LMs) are sentence-completion engines trained on massive corpora. LMs have emerged as a significant breakthrough in natural-language processing, providing capabilities that go far beyond sentence completion including question answering, summarization, and natural-language inference. While many of these capabilities have potential application to cognitive systems, exploiting language models as a source of task knowledge, especially for task learning, offers significant, near-term benefits. We introduce language models and the various tasks to which they have been applied and then review methods of knowledge extraction from language models. The resulting analysis outlines both the challenges and opportunities for using language models as a new knowledge source for cognitive systems. It also identifies possible ways to improve knowledge extraction from language models using the capabilities provided by cognitive systems. Central to success will be the ability of a cognitive agent to itself learn an abstract model of the knowledge implicit in the LM as well as methods to extract high-quality knowledge effectively and efficiently. To illustrate, we introduce a hypothetical robot agent and describe how language models could extend its task knowledge and improve its performance and the kinds of knowledge and methods the agent can use to exploit the knowledge within a language model.

    Comment: 16 pages, 2 figures; accepted for 2021 Advances in Cognitive Systems Conference (revised based on reviews)
    Keywords Computer Science - Artificial Intelligence ; Computer Science - Computation and Language ; I.2.7 ; I.2.11
    Subject code 004
    Publishing date 2021-09-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

To top