Results 141 to 150 of about 3,655,523 (362)
This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain+3 more
wiley +1 more source
The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi+3 more
wiley +1 more source
Prospective Algorithms for Quantum Evolutionary Computation [PDF]
This effort examines the intersection of the emerging field of quantum computing and the more established field of evolutionary computation. The goal is to understand what benefits quantum computing might offer to computational intelligence and how computational intelligence paradigms might be implemented as quantum programs to be run on a future ...
arxiv
Infrequent Pattern Detection for Reliable Network Traffic Analysis Using Robust Evolutionary Computation. [PDF]
Rashid ANMB, Ahmed M, Pathan AK.
europepmc +1 more source
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani+14 more
wiley +1 more source
Creep Characterization of Inconel 718 Lattice Metamaterials Manufactured by Laser Powder Bed Fusion
Herein, the creep characteristics of additively manufactured Inconel 718 metamaterials are investigated. The creep behavior of metamaterials and the effects of microstructural defects are assessed, and the microstructure defects are accurately captured using Kachanov's creep damage model.
Akash Singh Bhuwal+5 more
wiley +1 more source
Hybridization of Evolutionary Algorithms [PDF]
Evolutionary algorithms are good general problem solver but suffer from a lack of domain specific knowledge. However, the problem specific knowledge can be added to evolutionary algorithms by hybridizing. Interestingly, all the elements of the evolutionary algorithms can be hybridized.
arxiv
MIF as an oncogenic driver of low‐heterogeneity melanomas
Shvefel and colleagues identified tumor‐secreted macrophage migration inhibitory factor (MIF) as an upregulated cytokine that mediates immune resistance in melanomas with low‐intratumoral heterogeneity. MIF and its functional paralogue D‐dopachrome tautomerase (D‐DT or MIF‐2) have overlapping but nonidentical signaling functions and are hypothesized to
Thuy T. Tran+4 more
wiley +1 more source
This study aims to explore the feasibility of using a structure inspired by the features of horsetail and human spine as the potential helmet liner, targeting at mitigation of acceleration‐induced injuries. A parametric study is conducted to investigate the effect of individual geometrical variables in the design, indicating its capability to reduce ...
Bing Leng+3 more
wiley +1 more source
Using Genetic Algorithm in the Evolutionary Design of Sequential Logic Circuits [PDF]
Evolvable hardware (EHW) is a set of techniques that are based on the idea of combining reconfiguration hardware systems with evolutionary algorithms. In other word, EHW has two sections; the reconfigurable hardware and evolutionary algorithm where the configurations are under the control of an evolutionary algorithm.
arxiv