Results 71 to 80 of about 181,909 (270)

Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes

, 2015
Time series forecasting is an important predictive methodology which can be applied to a wide range of problems. Particularly, forecasting the indoor temperature permits an improved utilization of the HVAC (Heating, Ventilating and Air Conditioning ...
Botella-Rocamora, Paloma, Pardo, Juan, Zamora-Martinez, Francisco   +2 more
core   +2 more sources

A 3D Astrocyte Microenvironment Model Enables Rapid Ca2+‐Resolved Analysis and Therapeutic Modulation of Oxidative Neuroinflammation

Advanced Healthcare Materials, EarlyView.
This work presents ARC‐3D, a soft 3D model that recreates how brain support cells, called astrocytes, react to oxidative stress. The system visualizes rapid calcium changes and inflammatory signals, and shows how the drug KDS12025 can protect cells from damage. ARC‐3D offers a simple, reliable way to study early drivers of brain inflammation.
Ju‐Kang Kim, Ye‐Ji Kim, Seyoung Ryu, Daeui Park, Kyoung‐Sik Moon, Yu Bin Lee, Dong Ho Woo   +6 more
wiley   +1 more source

A novel radial basis function neural network for fault section estimation in transmission network [PDF]

, 2001
In this paper, the application of Radial Basis Function Neural Network (RBF NN) to fault section estimation in power systems is addressed. The orthogonal least square algorithm has been extended to optimize the parameters of RBF NN.
Bi, TS, Ni, YX, Shen, CM, Wu, FF, Yang, QX   +4 more
core  

Engineered Protein‐Based Ionic Conductors for Sustainable Energy Storage Applications

Advanced Materials, EarlyView.
Rational incorporation of charged residues into an engineered, self‐assembling protein scaffold yields solid‐state protein films with outstanding ionic conductivity. Salt‐doping further enhances conductivity, an effect amplified in the engineered variants. These properties enable the material integration into an efficient supercapacitor.
Juan David Cortés‐Ossa, Paolo Blesio, Marcial Fernandez‐Castro, Lisa Almonte, Maxence Fernandez, Mantas Liutkus, Perumal Pandurangan, Carlos Sabater, Aitor Villaverde, Manuel Melle‐Franco, Nurit Ashkenasy, Felipe Jiménez‐Ángeles, M. Carmen Morant‐Miñana, M. Reyes Calvo, Aitziber L. Cortajarena   +14 more
wiley   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

Advanced Materials, EarlyView.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang, Zehui Lv, Xuejie Cai, Yingjie Wang, Bo Peng, Haojing Xu, Hualuo Pang, Xingdong Yang, Jiawei Xu, Yixin Bian, Bin Feng, Peng Wen, Yufeng Zheng, Xisheng Weng   +13 more
wiley   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

Advanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho, Youngmin Han, Won Woo Lee, Youngwoo Yoo, Kannan Udaya Mohanan, Chang‐Hyun Kim, Junhwan Choi, Young‐Joon Kim, Wonjun Shin, Hocheon Yoo   +9 more
wiley   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

A Superlubricated Magnetically Steerable Microcatheter with Integrated Optical and Fluidic Channels

Advanced Robotics Research, EarlyView.
A magnetically steerable microcatheter with integrated optical and fluidic channels is developed for multifunctional navigation in tortuous anatomical environments. A surface‐grafted hydrogel coating enables low‐friction actuation. The device demonstrates stable light and fluid delivery during magnetic manipulation, offering a compact platform for ...
Yuntian Du, Ruokun He, Luqi Li, Hesheng Wang, Zhuo‐Chen Ma, Bing Han   +5 more
wiley   +1 more source

Multiomics Analyses Reveal an Essential Role of Tryptophan in Treatment of csDMARDs in Rheumatoid Arthritis

Advanced Science, EarlyView.
Rheumatoid arthritis is a disease characterized by joint inflammation. Approximately 50% of patients show insufficient response to traditional synthetic disease‐modifying antirheumatic drugs. This study aims to elucidate differential molecular profiles of the mechanisms underlying drug responses through multi‐omics strategy.
Congcong Jian, Jing Zhu, Jianhong Wu, Yan Zhang, Jianghua Chen, Huan Wang, Hengyan Liu, Ke Xu, Jiaxin Huang, Xiaoting Zhu, Yuanli Wei, Shilin Li, Tingting Wang, Xuan Huang, Qinghua Zou, Jie Zhang, Jiang Su, Xinming Du, Yaping Lu, Tianci Zhou, Yingtong Zhou, Minglong Tang, Bin Li, Xue Zhou, Qihao Wei, Qiulong Yan, Fanxin Zeng   +26 more
wiley   +1 more source

The effect of data preprocessing on the performance of artificial neural networks techniques for classification problems [PDF]

, 2012
The artificial neural network (ANN) has recently been applied in many areas, such as medical, biology, financial, economy, engineering and so on. It is known as an excellent classifier of nonlinear input and output numerical data.
Atomi, Walid Hasen
core