Results 251 to 260 of about 53,568 (312)

GramSeq-DTA: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information. [PDF]

Biomolecules
Debnath K, Rana P, Ghosh P.
europepmc   +1 more source

Comparative Analysis of Artificial Intelligence-Generated and Human-Written Personal Statements in Emergency Medicine Applications. [PDF]

Cureus
Steele E, Steratore A, Dilcher BZ, Bandi K.   +3 more
europepmc   +1 more source

Commentary on "DeepSeek-R1 and GPT-4 are comparable in a complex diagnostic challenge: a historical control study". [PDF]

Int J Surg
Lv H, Chen L, Lv Z, Lv L.
europepmc   +1 more source

Reflecting on Reporting Guidelines in Qualitative Inquiry: Advocating for Openness or Methodological Specificity in Constructivist Grounded Theory. [PDF]

Glob Qual Nurs Res
Bobbink P, Larkin P, Probst S.
europepmc   +1 more source

Bridging the Regulatory Chasm in Investigator‐Initiated Human Subject Cannabis Research

Clinical Pharmacology &Therapeutics, EarlyView.
Heather M. Barkholtz, William Naviaux
wiley   +1 more source

Autonomic recovery following submaximal exercise in yoga practitioners versus aerobic and strength-trained individuals. [PDF]

Ann Med
N S, L C P, Chandrasekaran B, Shetty L, Manu LM, Gangachannaiah S.   +5 more
europepmc   +1 more source

Wearable Augmented Reality for Nystagmus Examination in Patients With Vertigo: Randomized Crossover Usability Study.

J Med Internet Res
Wu CN, Chen MC, Chien CY, Chang HH, Luo SD, Hwang CF, Chang WJ.   +6 more
europepmc   +1 more source

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Comparative complexity of grammar forms

Proceedings of seventh annual ACM symposium on Theory of computing - STOC '75, 1975
The definition of “grammar form” introduced in [CG] makes it possible to state and prove results about various types of grammars in a uniform way. Among questions naturally formalizable in this framework are many about the complexity or efficiency of grammars of different kinds.
Seymour Ginsburg, Nancy Lynch
openaire   +1 more source

Evolving Compare-Exchange Networks Using Grammars

Artificial Life, 1995
We apply a genetic algorithm whose genotypes represent simple grammars to search for families of compare-exchange networks that are merging networks. The grammars are restricted to be of a simple form based on prior knowledge about the search domain. Finding merging networks in this fashion leads to the discovery of networks that also sort if the data
Thomas E. Kammeyer, Richard K. Belew, S. Gill Williamson   +2 more
openaire   +1 more source