Results 111 to 120 of about 130,080 (303)

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Analysis of CD83 antigen expression in human breast fibroadenoma and adjacent tissue

São Paulo Medical Journal
CONTEXT AND OBJECTIVE: Dendritic cell maturation is considered essential for starting an immune response. The CD83 antigen is an important marker of dendritic cell maturation.
Marcus Nascimento Borges, Gil Facina, Ismael Dale Cotrin Guerreiro Silva, Angela Flávia Logullo Waitzberg, Afonso Celso Pinto Nazario   +4 more
doaj   +1 more source

A formal verification of the theory of parity complexes

Journal of Formalized Reasoning, 2015
We formalise, in Coq, the opening sections of Parity Complexes [Street1991] up to and including the all important excision of extremals algorithm. Parity complexes describe the essential combinatorial structure exhibited by simplexes, cubes and globes ...
Mitchell Buckley
doaj   +1 more source

Self-checking on-line testable static RAM [PDF]

, 1993
This is a fault-tolerant random access memory for use in fault-tolerant computers. It comprises a plurality of memory chips each comprising a plurality of on-line testable and correctable memory cells disposed in rows and columns for holding individually
Chau, Savio N., Rennels, David A.
core   +1 more source

Anisotropic reflection oscillation in periodic multilayer structures of parity-time symmetry.

Optics Express, 2014
We show that periodic multilayer structures with parity-time (PT) symmetries imposed by a balanced arrangement of gain and loss can exhibit anisotropic reflection oscillation patterns as the number of unit-cells is increasing. At the minima of reflection
Xue‐Feng Zhu, Yugui Peng, Degang Zhao
semanticscholar   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Parity and NIS Expression in Atypical Cells of Triple-Negative Breast Cancer, and Prognosis

International Journal of Molecular Sciences
Breast cancer is one of the most common malignancies worldwide, affecting 2.3 million and causing 670,000 deaths in women annually. However, data indicate that the risk of developing breast cancer decreases with pregnancy at a young age, and each subsequent pregnancy further reduces the risk by approximately 10%.
Grigory Demyashkin, Eugenia Kogan, Tatiana Demura, Anastasia Guzik, Dmitriy Belokopytov, Maxim Batov, Vladimir Shchekin, Irina Bicherova, Petr Shegai, Andrei Kaprin   +9 more
openaire   +2 more sources

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

Milk somatic cell count, composition and yield of multi-breed dairy cattle in Ethiopia

Cogent Food & Agriculture
Mastitis is highly prevalent and causes significant economic loss in the Ethiopian dairy industry. An important aspect of monitoring dairy cow health and milk quality is understanding somatic cell count (SCC), composition and milk yield. This study aimed
Tegegn Fantahun Chernet, Okeyo Mwai, Selam Meseret, Enyew Negussie, Raphael Mrode, Getinet Mekuriaw Tarekegn, Zewdu Edea, Gebregziabher Gebreyohanes, Chinyere Ekine-Dzivenu, Asrat Tera, Tesfaye Sisay Tessema   +10 more
doaj   +1 more source