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    纽

    纽约州立大学老韦斯特伯里分校

    State University of New York at Old Westbury
    院校
    1,182论文总数
    1.7万引用总数

    论文量&引用量时间轴

    机构学者

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    George B Stefano
    George B Stefano
    Center for Cognitive-Molecular Neuroscience, 1st Medicine Faculty, Charles University;Department of Psychiatry, Charles University in Prague
    论文:77引用:0H-index:0
    Albert Rabil
    Albert Rabil
    SUNY COLL OLD WESTBURY
    论文:58引用:0H-index:0
    Bright U. Emenike
    Bright U. Emenike
    Department of Chemistry and Biochemistry, Miami University
    论文:18引用:0H-index:0
    Michael J. Colaneri
    Michael J. Colaneri
    Department of Chemistry and Physics, State University of New York at Old Westbury
    论文:18引用:0H-index:0
    Jacqueline Vitali
    Jacqueline Vitali
    Department of Biological, Geological and Environmental Sciences, Cleveland State University
    论文:18引用:0H-index:0
    Lorenz S. Neuwirth
    Lorenz S. Neuwirth
    Department of Biology, Neuroscience College of Staten Island
    论文:17引用:0H-index:0
    Nicholas J. Werner
    Nicholas J. Werner
    Department of Mathematics, Computer and Information Science, State University of New York College at Old Westbury
    论文:15引用:0H-index:0
    edward bever
    edward bever
    SUNY Coll Old Westbury
    论文:13引用:0H-index:0
    Thomas V. Bilfinger
    Thomas V. Bilfinger
    Division of Cardiothoracic Surgery, Department of Surgery, Renaissance School of Medicine, Stony Brook University
    论文:12引用:0H-index:0

    论文(1182)

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    1The Rise of Small Language Models in Healthcare: A Comprehensive Survey
    Muskan Garg,Shaina Raza, Shebuti Rayana, Xingyi Liu,Sunghwan Sohn

    Despite substantial progress in healthcare applications driven by large language models (LLMs), growing concerns around data privacy, and limited resources; the small language models (SLMs) offer a scalable and clinically viable solution for efficient performance in resource-constrained environments for next-generation healthcare informatics. Our comprehensive survey presents a taxonomic framework to identify and categorize them for healthcare professionals and informaticians. The timeline of healthcare SLM contributions establishes a foundational framework for analyzing models across three dimensions: NLP tasks, stakeholder roles, and the continuum of care. We present a taxonomic framework to identify the architectural foundations for building models from scratch; adapting SLMs to clinical precision through prompting, instruction fine-tuning, and reasoning; and accessibility and sustainability through compression techniques. Our primary objective is to offer a comprehensive survey for healthcare professionals, introducing recent innovations in model optimization and equipping them with curated resources to support future research and development in the field. Aiming to showcase the groundbreaking advancements in SLMs for healthcare, we present a comprehensive compilation of experimental results across widely studied NLP tasks in healthcare to highlight the transformative potential of SLMs in healthcare. The updated repository is available at Github

    2026Computer science review(2026)引用:16
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    2PULSE Regional Networks: Different Approaches to Drive Departmental Change Across Diverse Educational Landscapes
    Jacqueline M. Washington, Judy Awong-Taylor, Robert M. Kao, Fernando E. Nieto-Fernandez, Kathy Marrs, Steven Matzner, Alison J. Albee, Peggy Brickman, Christopher Finelli, Cerrone R. Foster, Carlos G. Goller, Gail Hollowell,

    To facilitate its goal of fostering department transformation, the Partnership for Undergraduate Life Sciences Education (PULSE) organizes some of its work into five geographic regions and leverages the expertise of the PULSE Fellows in each region. This article examines how these Regional Networks have driven department-level changes through outreach activities, use of the PULSE Rubrics as a diagnostic tool to help departments to advance the Vision and Change recommendations, and implementation of the PULSE framework to address local needs and challenges. We present impact data through Regional Network activities and identify commonalities in successes and challenges across all the geographic regions. Through reports from the Northeast, Southeast, Southwest, Northwest, and Midwest Great Plains, we highlight each Regional Network’s accomplishments in influencing the adoption of PULSE strategies to implement the Vision and Change recommendations to transform departments.

    2026Transformative Dialogues Teaching and Learning Journal(2026)引用:3
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    3Supersymmetric Holomorphic Masses in AdS/CFT with Flavour
    Pietro Capuozzo, Jack Holden,Andy O’Bannon, James Ratcliffe,Ronnie Rodgers, Benjamin Suzzoni

    A bstract In type IIB supergravity (SUGRA), in the extremal background of a number N c of D3-branes we consider a number N f of probe D7-branes extended along all four D3-brane directions, ( x 0 , x 1 , x 2 , x 3 ). Using ( x 2 , x 3 ) to define complex coordinates $$ \left(z,\overline{z}\right) $$ z z ¯ and defining the D7-branes’ worldvolume scalars as $$ \left(y,\overline{y}\right) $$ y y ¯ , we prove that any holomorphic function y ( z ) or antiholomorphic function $$ y\left(\overline{z}\right) $$ y z ¯ is a BPS solution of the D7-branes’ equations of motion preserving $$ \mathcal{N} $$ N = (4, 0) or (0, 4) supersymmetry (SUSY) along ( x 0 , x 1 ), respectively. In the near-horizon geometry, five-dimensional Anti-de Sitter (AdS) spacetime times a five-sphere, the AdS/Conformal Field Theory correspondence states that type IIB SUGRA is holographically dual to four-dimensional $$ \mathcal{N} $$ N = 4 supersymmetric SU ( N c ) Yang-Mills theory at large N c and large ’t Hooft coupling, and the N f D7-branes are dual to N f $$ \mathcal{N} $$ N = 2 hypermultiplets in the fundamental representation, i.e. flavour fields. Our D7-brane solutions are dual to a position-dependent hypermultiplet mass m that is holomorphic, m ( z ), or antiholomorphic, $$ m\left(\overline{z}\right) $$ m z ¯ . We provide field theory proofs, valid for any N c , N f , and ’t Hooft coupling, that such m preserve $$ \mathcal{N} $$ N = (4, 0) or (0, 4) SUSY along ( x 0 , x 1 ). We also perform holographic calculations with probe D7-branes to show that the theory with such m has zero energy and zero expectation value of the mass operator, and that a zero of m is dual to a superconformal defect described by chiral fermions along ( x 0 , x 1 ).

    2026Journal of High Energy Physics(2026)引用:1
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    4Soil Microbiome Analysis of a Northeastern Deciduous Forest in SUNY Old Westbury, Long Island, New York.
    Fernando Emilio Nieto Fernandez, Patricia Roccanova, Bettina Fantal-Pinckombe, Raymond Catapano

    We studied spatial changes in soil bacterial microbiome composition and diversity in a 111 acres old growth mixed hardwood forest plot in Long Island, NY. Forty soil samples were collected from four forest transects across the forest plot representing various soil features, and dominant vegetation. Three phyla account for 91% of the bacteria in the samples, Acidobacteriota (43%), Proteobacteriota (30%), and Actinobacteriota (18%). We also found 16 different classes and 33 orders. Sites dominated by black birch, Betula lenta were significant more diverse than all other sites. We also found significant differences in microbiome composition based on pH and vegetation.

    2026microPublication biology(2026)
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    5Integer-valued Polynomials on Subsets of Quaternion Algebras
    Nicholas J. Werner

    Let R be either the ring of Lipschitz quaternions, or the ring of Hurwitz quaternions. Then, R is a subring of the division ring D of rational quaternions. For S C_ R, we study the collection Int(S, R) = {f E D[x] f (S) C_ R} of polynomials that are integer-valued on S. The set Int(S, R) is always a left R-submodule of D[x], but need not be a subring of D[x]. We say that S is a ringset of Rif Int(S, R) is a subring of D[x]. In this paper, we give a complete classification of the finite subsets of R that are ringsets. (c) 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

    2026JOURNAL OF ALGEBRA(2026)
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    合作机构(100)

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