Results 101 to 110 of about 1,011,171 (338)

Versatile Cell Penetrating Peptide for Multimodal CRISPR Gene Editing in Primary Stem Cells

Advanced Functional Materials, EarlyView.
CRISPR machinery in diverse molecular formats (DNA, RNA, and ribonucleic protein) is complexed into nanoparticles with the cell‐friendly arginine‐alanine‐leucine‐alanine (RALA) cell‐penetrating peptide. Nanoparticles are delivered to primary mesenchymal stem cells ex vivo or locally in vivo to facilitate multimodal CRISPR gene editing. This RALA‐CRISPR
Joshua P. Graham, Jose Gabriel Castro, Lisette C. Werba, Joseph Amitrano, Luke Fardone, Kevin P. Francis, Anand Ramamurthi, Michael J. Layden, Helen O. McCarthy, Tomas Gonzalez‐Fernandez   +9 more
wiley   +1 more source

Predicting Pancreatic Cancer Using Support Vector Machine [PDF]

, 2017
This report presents an approach to predict pancreatic cancer using Support Vector Machine Classification algorithm. The research objective of this project it to predict pancreatic cancer on just genomic, just clinical and combination of genomic and ...
Bodkhe, Akshay
core   +1 more source

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Biased support vector machine and weighted-smote in handling class imbalance problem

IJAIN (International Journal of Advances in Intelligent Informatics), 2018
Class imbalance occurs when instances in a class are much higher than in other classes. This machine learning major problem can affect the predicted accuracy.
Hartono Hartono, Opim Salim Sitompul, Tulus Tulus, Erna Budhiarti Nababan   +3 more
doaj   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

DUKMSVM: A Framework of Deep Uniform Kernel Mapping Support Vector Machine for Short Text Classification [PDF]

, 2020
Zhaoying Liu, Haipeng Kan, Ting Zhang, Yujian Li   +3 more
openalex   +1 more source

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

On robustness properties of convex risk minimization methods for pattern recognition [PDF]

The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
core  

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Forecasting of Short-term Power Load Based on Improved PSO Algorithm and LS-SVM

Gong-kuang zidonghua, 2012
For problems of small samples, nonlinear, high dimensions and the local minimum of electric power load, a modeling method based on the least square support vector machine was proposed to forecast short-term power load by taking historical load ...
PAN Lei, LI Li-juan, DING Ting-ting, LIU Dui   +3 more
doaj