Results 101 to 110 of about 16,042 (328)
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Growing an international Cultural Heritage Labs community [PDF]
‘Cultural Heritage Labs’ in galleries, libraries, archives and museums around the world help researchers, artists, entrepreneurs, educators and innovators to work on, experiment, incubate and develop their ideas of working with digital content through ...
Chambers, Sally +7 more
core +2 more sources
Experts column on digital humanities: unlocking potential of DH by riding the tide of digital transformation: the dialog between Wei Liu and Xuemao Wang [PDF]
Wei Liu, Xuemao Wang
openalex +1 more source
A Leaf‐Inspired Janus‐Structured Triboelectric‐Moisture Hybrid Energy Harvester
This study proposes a bioinspired Janus structured energy‐leaf with hybrid triboelectric‐moisture hybrid energy harvesters. This hybrid energy harvester is demonstrated in an intelligent emergency system for effective distress signaling and evacuation guiding during potential crises.
Liang Wei +10 more
wiley +1 more source
Die Verbindungslinien zwischen Digital Humanities (DH) und Literaturdidaktik sind in Anbetracht des geringen Umfangs bisheriger Ansätze nicht unmittelbar evident.
Cornelius Herz
doaj +1 more source
Task-driven programming pedagogy in the digital humanities [PDF]
In this chapter, we advocate for a task-driven approach to teaching computer programming to students of the digital humanities (DH). Our perspective is grounded first in Birnbaum's (2014) plenary address to the University of Pittsburgh Faculty Senate ...
Birnbaum, DJ, Langmead, A
core +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source

