Results 101 to 110 of about 43,195,377 (268)
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li +8 more
wiley +1 more source
Hierarchical multi-instance multi-label learning for Chinese patent text classification
To further enhance the accuracy of the Chinese patent classification, this paper proposes a model, based on the patent structure and takes the patent claim as subjects, with multi-instance multi-label learning as the main method.
Yunduo Liu +6 more
doaj +1 more source
Engineered phage‐based trifunctional nanofibers are developed for synergistic biofilm eradication. Biofilm‐binding phages, armed with AuNPs and TCPP, serve as both warheads and scaffolds, endowing the phototherapy agents with biofilm‐anchoring ability. Upon light irradiation, AuNPs induce photothermal therapy, while TCPP generates 1O2 for photodynamic ...
Ying Cao +9 more
wiley +1 more source
Chinese Text Classification with a KNN Classifier Using an Adjusted Feature Weighting Method
KNN algorithm is used for Chinese text classification in this paper. First, TF-IDF is chosen as the feature weighting method. To the characteristics of corpus used in this paper, TF-IDF is adjusted to a new method.
Li Chao Feng +3 more
core +1 more source
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li +6 more
wiley +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Chinese text dual attention network for aspect-level sentiment classification.
English text has a clear and compact subject structure, which makes it easy to find dependency relationships between words. However, Chinese text often conveys information using situational settings, which results in loose sentence structures, and even ...
Xinjie Sun +4 more
doaj +1 more source
Integrating interpretable machine learning with the fixed‐potential method reveals a novel mechanism: the catalytic activity of the electrochemical nitrogen reduction reaction is governed by partial charge transfer, induced by variations in the intermediate potential of zero charge under constant potential.
Yufei Xue +6 more
wiley +1 more source
A Parallel Two-Channel Emotion Classification Method for Chinese Text
The complex structure of Chinese, including the dual-granularity feature of words and phrases, poses unique challenges for sentiment analysis, which is significantly different from the alphabetic word formation mechanism of English text.
Liu Na, Tao Cao, Shuchen Bai, Danqing Li
doaj +1 more source
Nanoscale secondary ion mass spectrometry (Nano SIMS) is established as a powerful analytical tool to visualize and quantify the membrane fouling layers. ABSTRACT Membrane technology has garnered considerable attention for applications in wastewater treatment and resource recovery. Nevertheless, membrane fouling remains a major barrier, yet the lack of
Mengfei Wu +4 more
wiley +1 more source

