Results 51 to 60 of about 2,680 (272)

Organ‐specific redox imbalances in spinal muscular atrophy mice are partially rescued by SMN antisense oligonucleotides

FEBS Letters, EarlyView.
We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley   +1 more source

A GPU-Based Ising Machine With a Multi-Spin-Flip Capability for Constrained Combinatorial Optimization

IEEE Access
Ising machines are domain-specific computers that solve combinatorial optimization problems (COPs). They utilize an Ising model to represent a COP and search for the optimal spin configuration of the Ising model to solve the COP.
Satoru Jimbo, Tatsuhiko Shirai, Nozomu Togawa, Masato Motomura, Kazushi Kawamura   +4 more
doaj   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source

Universal Electronic‐Structure Relationship Governing Intrinsic Magnetic Properties in Permanent Magnets

Advanced Functional Materials, EarlyView.
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley   +1 more source

Demonstration of an energy-efficient Ising solver composed of Ovonic threshold switch (OTS)-based nano-oscillators (OTSNOs)

Nano Convergence
As there is an increasing need for an efficient solver of combinatorial optimization problems, much interest is paid to the Ising machine, which is a novel physics-driven computing system composed of coupled oscillators mimicking the dynamics of the ...
Young Woong Lee, Seon Jeong Kim, Jaewook Kim, Sangheon Kim, Jongkil Park, YeonJoo Jeong, Gyu Weon Hwang, Seongsik Park, Bae Ho Park, Suyoun Lee   +9 more
doaj   +1 more source

Oscillator-based Ising Machine

, 2017
Many combinatorial optimization problems can be mapped to finding the ground states of the corresponding Ising Hamiltonians. The physical systems that can solve optimization problems in this way, namely Ising machines, have been attracting more and more attention recently.
Wang, Tianshi, Roychowdhury, Jaijeet
openaire   +2 more sources

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

What Is Machine Learning?

, 2023
Machine learning is a subset of artificial intelligence that empowers computers to learn and improve from experience without being explicitly programmed. It involves algorithms that enable systems to analyze data, detect patterns, and make decisions or predictions.
Shriram K. Vasudevan, Nitin Vamsi Dantu, Sini Raj Pulari, T. S. Murugesh   +3 more
openaire   +2 more sources

Continuous black-box optimization with an Ising machine and random subspace coding

Physical Review Research, 2022
A black-box optimization algorithm such as Bayesian optimization finds the extremum of an unknown function by alternating the inference of the underlying function and optimization of an acquisition function.
Syun Izawa, Koki Kitai, Shu Tanaka, Ryo Tamura, Koji Tsuda   +4 more
doaj   +1 more source

Nano‐ and Micro‐Sized Solid Materials Used as Antiviral Agents

Advanced Functional Materials, EarlyView.
Due to the rise of viral infections in humans and possible viral outbreaks, the use of nano‐ or micro‐sized materials as antiviral agents is rapidly increasing. This review explores their antiviral properties against RNA and DNA viruses, either as a prevention or a treatment tool, by delving into their mechanisms of action and how to properly assess ...
Orfeas‐Evangelos Plastiras, Imelda Raczkiewicz, Peggy Bouquet, Jean‐Philippe Dacquin, Jeremy Dhainaut, Anne Goffard, Christophe Volkringer   +6 more
wiley   +1 more source