Results 131 to 140 of about 4,823,962 (372)

Retrotransposon Expression Is Upregulated in Adulthood and Suppressed during Regeneration of the Limb in the Axolotl (Ambystoma mexicanum)

Advanced Biology, EarlyView.
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez, Nicolás Alcaraz, Karla Torres‐Arciga, José Antonio Ocampo‐Cervantes, Alejandra Cervera, Clementina Castro‐Hernández, Cynthia Gabriela Sámano‐Salazar, Ernesto Soto‐Reyes, Rodrigo González‐Barrios   +8 more
wiley   +1 more source

Exploiting Group Symmetry in Semidefinite Programming Relaxations of the Quadratic Assignment Problem [PDF]

We consider semidefinite programming relaxations of the quadratic assignment problem, and show how to exploit group symmetry in the problem data. Thus we are able to compute the best known lower bounds for several instances of quadratic assignment ...
Klerk, E. de, Sotirov, R.
core   +1 more source

The Dewey Classification in the Reference Library; and in an Open Lending Library¹ [PDF]

The Library, 1896
n ...
openaire   +2 more sources

Inhibition of Glutamine Metabolism Attenuates Tumor Progression Through Remodeling of the Macrophage Immune Microenvironment

Advanced Biology, EarlyView.
The prodrug strategy used in this study offers new promise for cancer metabolism‐based therapies. JHU083, a prodrug that, when cleaved by protease in the tumor microenvironment, yields the glutamine antagonist DON. JHU083 inhibits tumor growth by targeting glutamine‐addicted cancer cells and suppressing glutamine‐dependent M2 macrophages, leading to a ...
Tianhe Li, Sepehr Akhtarkhavari, Sumeng Qi, Jiawei Fan, Tu‐Yung Chang, Yao‐An Shen, JinMing Yang, Barbara S. Slusher, Ie‐Ming Shih, Stephanie Gaillard, Tian‐Li Wang   +10 more
wiley   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Hybrid Spectral Library Combining DIA-MS Data and a Targeted Virtual Library Substantially Deepens the Proteome Coverage

iScience, 2020
Summary: Data-independent acquisition mass spectrometry (DIA-MS) is a powerful technique that enables relatively deep proteomic profiling with superior quantification reproducibility.
Ronghui Lou, Pan Tang, Kang Ding, Shanshan Li, Cuiping Tian, Yunxia Li, Suwen Zhao, Yaoyang Zhang, Wenqing Shui   +8 more
doaj  

From Electronic to Smart Library Systems: Concept, Classification of Services, Scheme of Work and Model [PDF]

, 2021
Ruslan A. Baryshev
openalex   +1 more source

A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion

Advanced Engineering Materials, EarlyView.
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann, Eduard Ortlieb, Hendrik Wester, Paul Christoph Gembarski, Bernd‐Arno Behrens, Roland Lachmayer   +5 more
wiley   +1 more source

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

Advanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi, Saeed Kamarian, Mahdi Bodaghi, Saeed Saber‐Samandari, Jung‐il Song   +4 more
wiley   +1 more source