Results 111 to 120 of about 5,009,966 (344)
This article concerns the review of a special class of swarm intelligence based algorithms for solving optimization problems and these algorithms can be referred to as social algorithms. Social algorithms use multiple agents and the social interactions to design rules for algorithms so as to mimic certain successful characteristics of the social ...
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In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim+11 more
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Algorithms To Supports Individual Fairness by Incorporating System Design ...
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Chimeric diphtheria toxin–CCL8 cytotoxic peptide for breast cancer management
DTCCL8 is a recombinant fusion toxin that targets cancer cells expressing chemokine receptors. By combining diphtheria toxin with CCL8, DTCCL8 binds to multiple receptors on tumor cells and induces selective cytotoxicity. This strategy enables receptor‐mediated targeting of cancer and may support the development of chemokine‐guided therapeutics ...
Bernardo Chavez+5 more
wiley +1 more source
This paper brings together two main perspectives on algorithmic pattern. First, the writing of musical patterns in live coding performance, and second, the weaving of patterns in textiles. In both cases, algorithmic pattern is an interface between the human and the outcome, where small changes have far-reaching impact on the results.
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Neurodegenerative as well as autoimmune diseases have unclear aetiologies, but an increasing number of evidences report for a combination of genetic and epigenetic alterations that predispose for the development of disease. This review examines the major
Afroza Khanam Irin+3 more
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This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima+6 more
wiley +1 more source
We revisit classic algorithmic search and optimization problems from the perspective of competition. Rather than a single optimizer minimizing expected cost, we consider a zero-sum game in which an optimization problem is presented to two players, whose only goal is to outperform the opponent. Such games are typically exponentially large zero-sum games,
Immorlica, Nicole+5 more
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An Algorithm for the Determination of the Polynomial of Best Minimax Approximation to a Function Defined on a Finite Point Set [PDF]
Philip C. Curtis, Werner L. Frank
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