Results 241 to 250 of about 59,648 (316)

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Starting Up Clinical Trials in Emergency Medicine: Advice and Acronyms for New Investigators. [PDF]

J Am Coll Emerg Physicians Open
Southerland LT, Chu CB, Wang HE, Frey J, Hill M, Nassal MM, Bischof JJ.   +6 more
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Participatory budgeting with cumulative votes. [PDF]

Theory Decis
Skowron P, Slinko A, Szufa S, Talmon N.
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

Provider behavior from FFS to DRGs payment: experimental evidence from real physicians. [PDF]

Health Econ Rev
Chen Y, Zhao W, Liu Y, Luo J.
europepmc   +1 more source

Oceanic mesoscale eddies enhance the Pacific Decadal Oscillation and its predictability. [PDF]

Sci Adv
Gan B, Wang X, Wu L, Cai W, Li S, Wang H, Liu B, Yu J, Yan H, Han T, Jia F.   +10 more
europepmc   +1 more source

Family Medicine Obstetrics Fellowship Funding and Characteristics. [PDF]

Fam Med
Fortenberry KT, Owens RW, Stoesser K, Adediran E, Whittaker TC, Kiraly B.   +5 more
europepmc   +1 more source

Funding Distributions, Trends, Gaps, and Policy Implications for Spinal Cord Injury Research: A Systematic Analysis of U.S. Federal Funds. [PDF]

J Neurotrauma
Gillespie T, Buxton A, Kondiles BR, Leal-Garcia M, Pacheco MR, Tran AV, Vo K, Abu L, Barr J, Barretto TA, Biundo J, Duenwald S, Evans A, Friedman TN, Gadaleta I, Ganesh S, Gottschall B, Green P, Lee G, Liu L, Malik RN, Nava EJ, Sorani C, Tandon V, Thomas H, Thomas K, Barr C, Burkhart I, McCreedy DA, Nowell P, Blackmon H, Rabchevsky AG, Rodreick M, Torres-Espín A, Dulin JN.   +34 more
europepmc   +1 more source