Results 101 to 110 of about 66,164 (300)

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Hydration Behavior of Tricalcium Silicate in Seawater Relevant Salt Systems: A Hybrid Study with the Aid of Machine Learning

Advanced Intelligent Discovery, EarlyView.
The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun, Chen Zhang, Ting Zhang, Mengze Hong, Peiliang Shen, Chi Sun Poon, Gang Li   +6 more
wiley   +1 more source

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

Chlorination‐Driven BODIPY Fluorescent Probes for the Selective Monitoring of Myeloperoxidase Activity in Cells and Inflamed Mouse Models

Angewandte Chemie, EarlyView.
A meso‐carboxamide‐substituted BODIPY fluorescent probe reports myeloperoxidase (MPO) activity via electrophilic chlorination by MPO‐derived HOCl, generating a highly emissive chlorinated product with a ca. 40 nm bathochromic shift. Applications in quantitative MPO assays, cellular imaging of MPO‐derived HOCl, redox‐dependent discrimination of cancer ...
Siyoung Cho, Yongyang Luo, Jeehyeon Bae, Youngmi Kim   +3 more
wiley   +2 more sources

Parallel system based on the RNS

, 2013
The Residue number system (RNS) is an unposition system based on a modular arithmetic. The main benefit of this system is the binary computation without using a carry bit (well-known for example in hardware representation).
Drozdova, Martina, Kunovky, Jiri, Satek, Vaclav, Kopriva, Jan, Killian, Michaela   +4 more
core   +1 more source

The comparison of DBS and RNS for adult drug-resistant epilepsy: a systematic review and meta-analysis

Frontiers in Human Neuroscience
ObjectiveNeuromodulation has been proven to be a promising alternative treatment for adult patients with drug-resistant epilepsy (DRE). Deep brain stimulation (DBS) and responsive neurostimulation (RNS) were approved by many countries for the treatment ...
Qinghua Li, Yongzhi Shan, Penghu Wei, Guoguang Zhao, Guoguang Zhao, Guoguang Zhao   +5 more
doaj   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Splenic Tropism and Spleen‐Modulated Systemic Inflammation in Acute Plasmodium vivax Malaria

American Journal of Hematology, EarlyView.
ABSTRACT In chronic Plasmodium vivax (Pv) infection, the spleen accounts for over 98% of total‐body parasite biomass. Whether splenic tropism also occurs in acute infection and how the spleen influences pathogenesis have not been systematically explored. In Papua, Indonesia, we compared clinical and hematology data in 24 spleen‐intact and 25 previously
Steven Kho, Hasrini Rini, Noy N. Kambuaya, Syawal Satria, Freis Candrawati, Putu A. I. Shanti, King Alexander, Benediktus Andries, Aisah R. Amelia, Anjana Rai, Kim A. Piera, Agatha M. Puspitasari, Ristya Amalia, Pak Prayoga, Leo Leonardo, Maulina Hafidzah, Theo Situmorang, Dewi S. Margayani, Desandra A. Rahmayenti, Pengxing Cao, Enny Kenangalem, Leily Trianty, Damian Oyong, Julie A. Simpson, Rintis Noviyanti, Pierre A. Buffet, Jeanne R. Poespoprodjo, Nicholas M. Anstey   +27 more
wiley   +1 more source

Relationship Between Decremental Response on Repetitive Nerve Stimulation and Amyotrophic Lateral Sclerosis Functional Rating Scale

Pakistan Journal of Medicine and Dentistry
Background: Amyotrophic Lateral Sclerosis (ALS), is a progressive degenerative disease of the motor neuronal cells, and its clinical presentation includes upper motor neuron symptoms, lower motor neuron symptoms, bulbar symptoms, or a combination of ...
Saba Zaidi
doaj   +1 more source