Results 191 to 200 of about 3,229,514 (309)

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Comorbid Conditions of Ehlers-Danlos Syndromes and Vulvodynia: A Latent Class Analysis. [PDF]

Pain Manag Nurs
Glayzer JE, Bray BC, Kobak WH, Trujillo CM, Patil CL, Li H, Francomano CA, Schlaeger JM.   +7 more
europepmc   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

Advanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei, Lekai Song, Songwei Liu, Yingyi Wen, Yaoqiang Zhou, Yang Liu, Pengyu Liu, Wenyu Cui, Xin Lu, Teng Ma, Zegao Wang, Guohua Hu   +11 more
wiley   +1 more source

A Two-Step Estimation Approach of Latent Class-Item Response Theory Models in the Presence of DIF and Multidimensionality. [PDF]

Educ Psychol Meas
Bakk Z, Fabbricatore R.
europepmc   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Deep learning embedded latent class joint modelling of time-to-event and longitudinal data. [PDF]

Stat Methods Med Res
Harris TJE, Nakhaei Rad N, Skhosana SB.
europepmc   +1 more source

Conformal Thermoreversible Gelatin‐Based Gel for High‐Fidelity Electrophysiological Recording and Acute Peripheral Nerve Interfacing

Advanced Materials, EarlyView.
A thermoreversible gelatin‐based gel forms a soft, conformal bioelectronic interface on complex biological surfaces. The flowable precursor penetrates hair‐dense regions, solidifies in situ, and maintains low impedance through adaptive contact and hydration retention.
Ruinan Hao, Yong Yuan, Jie Gao, Tong Wang, Jinzhi Du, Feng Tian, Xiaoli Li, Ruirui Qiao, Liqun Zhang, Jiajia Xue   +9 more
wiley   +1 more source

Pregnancy complications and caesarean section: a latent class analysis. [PDF]

J Glob Health
Jiang T, Yu G, Kou C, Li W, Liu Y, Meng Y, Wan L, Yi L, Bai W.   +8 more
europepmc   +1 more source

Extreme Bond Ionicity in Mg─Te Chalcogenides for Ultrathin Low Voltage Selector‐Only Memory beyond the Leakage Scaling Limit

Advanced Materials, EarlyView.
Mg─Te chalcogenides address the leakage scaling trade‐off in ultrathin selector‐only memory. Structural partitioning in multiphase Mg─Te, combined with highly ionic Mg─Te bonding and Hf interfacial engineering, supports reliable 5 nm thickness operation at low write voltage with suppressed leakage current, narrow threshold voltage distributions, 10 ns ...
Yoori Seo, Dongmin Kim, Yu Bin Park, Jangseop Lee, Tae Hoon Lee, Hyunsang Hwang   +5 more
wiley   +1 more source

Digital personas of AI use in nursing education: a latent class analysis of learning behaviors and academic engagement. [PDF]

Front Med (Lausanne)
Aljabri MM, Alharbi BS, Ali EA.
europepmc   +1 more source