Results 241 to 250 of about 44,424,631 (291)

High‐Throughput Discovery of Quantum Frustrated Materials

Advanced Functional Materials, EarlyView.
Physics‐guided discovery of frustrated kagome and triangular magnets. ABSTRACT Geometrical frustration provides a fertile platform for realizing exotic quantum phases such as spin liquids, yet, the predictive identification of frustrated magnets remains limited.
Byeong‐Hyeon Jeong, Hee Seung Kim, Jiwon Choi, SungBin Lee, Myung Joon Han   +4 more
wiley   +1 more source

Evaluating Large Language Models for Automated Evidence Synthesis in Neuroimaging AI: A Multi-Model Benchmark. [PDF]

J Clin Med
Sulaimanov U, Sanlier N, Moniri A, Demir B, Serikkanov Y, Bayramoglu AR, Al-Jebur MS, Sanlier MY, Erginoglu U, Otles E, Ammanuel SG, Keles A, Erginoglu U, Baskaya MK.   +13 more
europepmc   +1 more source

Vector‐Field Control and Emergent Basal‐Plane Anisotropy of Magnetic Textures in Noncentrosymmetric (Fe0.63Ni0.3Pd0.07)3P

Advanced Functional Materials, EarlyView.
A field‐driven transition from chiral stripes to an achiral fan state is observed in a tetragonal magnet and linked to a temperature‐dependent rotation of the effective Dzyaloshinskii–Moriya interaction axis. This interplay generates pronounced in‐plane anisotropy and provides a new route for controlling chiral spin textures in noncentrosymmetric ...
Victor Ukleev, Oleg I. Utesov, Lorenzo Ubilla, Chen Luo, Radu‐Marius Abrudan, Peter Wild, Holger Kropf, Moritz Winter, Sebastian Schneider, Alexander Tahn, Bernd Rellinghaus, Tim A. Butcher, Simone Finizio, Sebastian Wintz, Markus Weigand, Max T. Birch, Yoshinori Tokura, Yasujiro Taguchi, Kosuke Karube, Florin Radu   +19 more
wiley   +1 more source

Bitter but beneficial: Hop-based feed additives for fighting antimicrobial resistance in poultry. [PDF]

Poult Sci
Kober L, Strauch SM, Grassl V, Fröhlich Tonet M, Hirschmann N, Fischer D, Erzinger GS, Castiglione K.   +7 more
europepmc   +1 more source

Binarization-free Text Line Extraction for Historical Manuscripts.

, 2014
Arvanitopoulos Darginis, Nikolaos, Süsstrunk, Sabine   +1 more
openaire   +2 more sources

Functional Differentiation of Type II and Type I Collagen Articular Models in Synovial Fluid Film Formation and Recombinant Equine Lubricin Retention

Advanced Functional Materials, EarlyView.
Collagen II coatings support the formation of synovial fluid nanofilms, while collagen I coatings do not. Both bind recombinant equine lubricin similarly. These findings may help explain articular cartilage surface joint dysfunction, inform biomaterial design for synovial joint repair, and expand on lubricin‐based osteoarthritis therapies.
Diego R. Jaramillo Pinto, Nicolas L. Mendoza, Syeda Tajin Ahmed, Yidan Wen, Lenka Vitkova, Spencer M. Witt, Kaleb A. Cutter, Ummay Honey, Matthew J. Paszek, Heidi L. Reesink, Lawrence J. Bonassar, Kevin De France, Roberto C. Andresen Eguiluz   +12 more
wiley   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

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Towards Generic Text-Line Extraction

2013 12th International Conference on Document Analysis and Recognition, 2013
Text-line extraction is the backbone of document image analysis. Since decades, a large number of text-line finding methods have been proposed, where these methods rely on certain assumptions about a target class of documents with respect to writing styles, digitization methods, intensity values, and scripts.
Faisal Shafait, Thomas M Breuel, Syed Saqib Bukhari   +2 more
exaly   +2 more sources

Text line extraction for historical document images

Pattern Recognition Letters, 2014
In this paper we present a language independent global method for automatic text line extraction. The proposed approach computes an energy map of a text image and determines the seams that pass across and between text lines. In this work we have developed two algorithms along this novel idea, one for binary images and the other for grayscale images ...
Jihad El-Sana, Raid Saabni, Abedelkadir Asi   +2 more
exaly   +3 more sources

Human Reading Knowledge Inspired Text Line Extraction

Cognitive Computation, 2017
Text in images contains exact semantic information and the text knowledge can be utilized in many image cognition and understanding applications. The human reading habits can provide the clues of text line structure for text line extraction. In this paper, we propose a novel human reading knowledge inspired text line extraction method based on k ...
Seiichi Uchida, Liuan Wang
exaly   +2 more sources