Results 101 to 110 of about 405,413 (267)

Spatial‐Compatibility‐Assisted Molecular Intercalation in MXenes

Advanced Materials, EarlyView.
This work demonstrates a solvent–free NH4F–mediated route for simultaneous Al removal and molecular intercalation in MXenes. Intercalants are selected by comparing their crystallographic X, Y, and Z dimensions with the MXene interlayer spacing, establishing a spatial‐compatibility criterion that rationalizes guest–host matching and enables predictive ...
Minhao Sheng, Xiaoqing Bin, Xiangyang Liu, Yingji Zhao, Wenxiu Que, Yusuke Asakura, Yusuke Yamauchi   +6 more
wiley   +1 more source

Special Homology Groups [PDF]

Proceedings of the National Academy of Sciences, 1938
openaire   +3 more sources

On a Notion of Biflatness Related to a Closed Ideal

Journal of Function Spaces
This study is motivated through the so-called approximate homology results of Banach algebras arising from their closed ideals. For a Banach algebra A, the notion of approximate I-biflatness is presented, where I is a closed ideal of A.
Amir Sahami, Eghbal Ghaderi, Mona Aj, Abasalt Bodaghi   +3 more
doaj   +1 more source

Bioengineered Interfaces for Peripheral Nerve Sensory Restoration

Advanced Materials, EarlyView.
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick, Salim El Hadwe, Kesi Liang, George G. Malliaras, Damiano G. Barone   +4 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

A Pentaradial and Bilateral Combined Photoreception System in the Sea Cucumber is Mediated by a Blue Light‐Sensitive R‐Opsin

Advanced Science, EarlyView.
The sea cucumber Holothuria leucospilota detects blue and adjacent wavelengths of light via an r‐opsin with a maximum absorption at 459 nm. In the oral tentacles, papillae, and tube feet, distinct light‐sensing structures with specialized morphologies are formed, constituting a unique pentaradial and bilateral combined photoreception system.
Jiasheng Huang, Chunhua Ren, Zhou Qin, Yimeng Cui, Bingbing Zhang, Peng Luo, Xuan Wang, Yaoqi Xie, Xin Zhang, Aifen Yan, Yang Zhang, Dingding Fan, Yang Liu, Wenjie Pan, Xiao Jiang, Lihong Yuan, Haipeng Qin, David M. Irwin, Chaoqun Hu, Yang Liu, Ting Chen   +20 more
wiley   +1 more source

Homology of a group extension [PDF]

Pacific Journal of Mathematics, 1972
openaire   +3 more sources

An Algorithm for Computing Homology Groups

Journal of Algebra, 1997
In a previous article [in Proc. Canberra Group Theory Conf. 1989, Lect. Notes Math. 1456, 114-141 (1990; Zbl 0732.20032)]\ the author described a procedure which, for a finite rewriting system of a group \(G\), or even a monoid, yields a free resolution of \(\mathbb{Z}\) by \(\mathbb{Z} G\)-modules.
openaire   +2 more sources

The triviality of dihedral cohomology for operator algebras

Scientific African
This article delves into algebraic topology, specifically (co)homology theory, which is essential in various mathematical fields. It explores different types of (co)homology groups such as Hochschild, cyclic, reflexive, and dihedral, focusing on dihedral
Samar A.A. Quota, A.H. Noreldeen, O.H. Fathy, W.M. Mahmoud   +3 more
doaj   +1 more source

Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences

Advanced Science, EarlyView.
This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu, Pan Zhang, Shangqian Wu, Hao Sun, Minwei Li, Sophia Tsoka, Zizhang Sheng, Lei Deng   +7 more
wiley   +1 more source