Results 221 to 230 of about 341,233 (313)

Scaling laws for rockfall impact fragmentation emerging from diverse lithologies. [PDF]

Sci Rep
Vergara Á, Palma S, Fuentes R.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
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, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Focusing on legal cases: Automatic classification of legal documents with sentence embeddings and deep learning models. [PDF]

PLoS One
Alarfaj FK.
europepmc   +1 more source

Reinnervation of Muscle Targets Enhances the Separability of Motor Unit Signals Following Peripheral Nerve Transfers

Advanced Science, EarlyView.
Injured or cut peripheral nerves can be surgically rerouted to reinnervate new muscle targets. This study demonstrates reinnervated muscles exhibit enhanced separability between individual motor unit signals, which can simplify signal recording and decomposition. These findings highlight the potential of reinnervated muscle to serve as a key biological
Kiara N Quinn, Siyu Wang, Lang Qin, Alessandro Ascani Orsini, Kenzi Griffith, Rachana Suresh, Fausto Kang, Pierce L Perkins, Neha Joshi, Alexis L Lowe, Sami Tuffaha, Nitish V Thakor   +11 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Barriers to the Implementation of Iran's Clean Air Act: A Policy-Oriented Scoping Review. [PDF]

Environ Health Insights
Bouzarjomehri H, Ehrampoush MH, Ebrahimi AA, Soltanianzadeh Z, Khosravi M, Herandi Y, Mousavi SM, Ranjbar M.   +7 more
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Dynamic and heterogeneous impacts of granting and revoking elective c-section rights in São Paulo. [PDF]

Health Policy Plan
Cordeiro G, Gonçalves J, Lagarde M.
europepmc   +1 more source

Blue‐Emitting ZnSe(Te) Quantum Dots and Light‐Emitting Diodes

Advanced Science, EarlyView.
 . ABSTRACT Zn‐based quantum dots (QDs) have been regarded as the most promising Cd‐free candidates for blue‐emitting applications. ZnSe QDs exhibit an ultra‐narrow full width at half maximum (FWHM), high photoluminescence quantum yield (PLQY), and excellent environmental stability, making them ideal for blue‐violet emitters.
Lijin Wang, Aiwei Tang, Jingbi You
wiley   +1 more source

Econophysics and the Landauer Principle: A Redefinition of Economic Temperature. [PDF]

Entropy (Basel)
Bormashenko E, Shendrik I.
europepmc   +1 more source