Results 71 to 80 of about 212,260 (313)

Design of Single‐Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single‐Cell RNA Sequencing and Machine Learning

open access: yesAdvanced Science, EarlyView.
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou   +8 more
wiley   +1 more source

Classification of red wines from controlled designation of origin by ultraviolet-visible and near-infrared spectral analysis [PDF]

open access: yesCiência e Técnica Vitivinícola, 2014
Spectroscopy has become one of the most attractive and commonly used methods of analysis in many agricultural products. Chemometrics combined with ultraviolet (UV), visible (VIS) and near-infrared (NIR) spectral analysis were evaluated to classify wines ...
Martelo-Vidal María J., Vázquez Manuel
doaj   +1 more source

Analisis Sentimen Masyarakat terhadap Tindakan Vaksinasi dalam Upaya Mengatasi Pandemi Covid-19

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2021
Virus corona telah menjadi pandemi dunia dan sudah menyebar hampir ke seluruh dunia, termasuk Indonesia. Banyak dampak negatif yang diakibatkan oleh penyebaran COVID-19 di Indonesia, sehingga pemerintah mengambil tindakan vaksinasi agar dapat menekan ...
Brian Laurensz, Eko Sediyono
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced 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   +8 more
wiley   +1 more source

Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US on Davis dataset.

open access: yes, 2023
Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US on Davis dataset.
Jamshid Pirgazi (5508737)   +2 more
core   +1 more source

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

open access: yesAdvanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao   +7 more
wiley   +1 more source

Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US in group AB.

open access: yes, 2023
Comparison of prediction results on balanced with Random undersampling and balanced with One-SVM-US in group AB.
Jamshid Pirgazi (5508737)   +2 more
core   +1 more source

A novel strategy for driving car brain–computer interfaces: Discrimination of EEG-based visual-motor imagery

open access: yesTranslational Neuroscience, 2021
A brain–computer interface (BCI) based on kinesthetic motor imagery has a potential of becoming a groundbreaking technology in a clinical setting. However, few studies focus on a visual-motor imagery (VMI) paradigm driving BCI.
Zhou Zhouzhou   +5 more
doaj   +1 more source

Allosteric DNAzyme‐Enabled Sensitive and Multiplex Detection of Biomarkers for Rapid Diagnosis of Urinary Tract Infections

open access: yesAdvanced Science, EarlyView.
A catalytic allosteric DNAzyme assay (SMART) is developed by engineering DNAzyme into a unimolecular biosensor, enabling highly sensitive and multiplex detection of small molecules and nucleic acids. SMART enables extraction‐free, one‐pot, one‐step, isothermal, and cost‐effective detection of biological markers, achieving >95% accuracy for rapid ...
Yanzhe Shen   +12 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

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