Results 171 to 180 of about 4,458,250 (263)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Learn Then Decide: A Learning Approach for Designing Data Marketplaces. [PDF]

J Am Stat Assoc
Gao Y, Xu W, Zhou JJ, Zhou H, Chen Y, Dai X.   +5 more
europepmc   +1 more source

Fusing Direct and Indirect Measurements Through Multi‐Fidelity Learning For Accelerated Electrocaloric Materials Discovery

Advanced Science, EarlyView.
A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang, Pengfei Dang, Yuan Tian, Zhengwang He, Wei Gu, Lixue Zhang, Turab Lookman, Yumei Zhou, Dezhen Xue   +8 more
wiley   +1 more source

Intelligent Virtual Sensor Generation Using KL-Divergence- Based Fusion and Deep Generative Learning for Smart Environmental Monitoring. [PDF]

Sensors (Basel)
Khan MA, Khan QW, Faizan M, Kim JE, Ahn IY, Kim DH.   +5 more
europepmc   +1 more source

α‐Synuclein Forms Distinct Micelle‐Like Assemblies at Low Ionic Strengths

Advanced Science, EarlyView.
At high ionic strength, α‐synuclein forms diverse assemblies, including oligomers, fibrils, and condensates. Here, we show that at low ionic strength, α‐synuclein adopts a distinct, low‐abundance assembly state. These assemblies maintain a constant size above a critical concentration and do not coalesce, suggesting a micelle‐like organization ...
Sophie Hertel, Soumik Ray, Federica Saraceno, Giacomo Nisini, Georgia Nasi, Thomas Oliver Mason, Antonin Kunka, Effrosyni Agrimaki, Dannie Juul Olesen, Francesco Simone Ruggeri, Alexander K. Buell   +10 more
wiley   +1 more source

Multimodal Characterization of Acerola-Derived Gold Nanoparticles through Integrated Advanced Distributional Analysis. [PDF]

ACS Omega
Mora-Araya LD, Zúñiga-Umaña JM, Pereira-Reyes R, Paniagua SA, Gamboa-Villalobos A, Parra J, Vega-Baudrit J.   +6 more
europepmc   +1 more source

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

Advanced Science, EarlyView.
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou, Shu Ding, Zhenyi Zhang, Qiaoling Shangguan, Jie Qiao, Peijie Zhou, Yidong Chen   +6 more
wiley   +1 more source

Spatiotemporal heterogeneity of gestational syphilis in the 1st Health Region of Pará in the Brazilian Amazon. [PDF]

Braz J Med Biol Res
Silva KR, Silva RG, Guimarães RJPS, Mesquita CR, Nogueira LMV, Rassy MEC.   +5 more
europepmc   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

Advanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu, Xiang Zhang, Haixia Feng, Yuquan Li, Xiaoqing Gong, Yong Liang, Xiaojun Yao, Huanxiang Liu   +7 more
wiley   +1 more source

From fixed points to probabilistic maps: A spatial framework for acupoint localization. [PDF]

Integr Med Res
Yoon DE, Choi DH, Ryu Y, Chae Y.
europepmc   +1 more source