Results 101 to 110 of about 844,277 (275)

Leveraging Random Effects in Cistrome‐Wide Association Studies for Decoding the Genetic Determinants of Prostate Cancer

Advanced Science
Cistrome‐wide association studies (CWAS) are pivotal for identifying genetic determinants of diseases by correlating genetically regulated cistrome states with phenotypes. Traditional CWAS typically develops a model based on cistrome and genotype data to
Mengting Shao, Min Tian, Kaiyang Chen, Hangjin Jiang, Shuting Zhang, Zhenghui Li, Yan Shen, Feng Chen, Baixin Shen, Chen Cao, Ning Gu   +10 more
doaj   +1 more source

Adaptive kernel methods

IFAC Proceedings Volumes, 2003
Abstract This paper discusses the Least Squares Support Vector Machine and implementing adaptive on-line algorithms based on recursive least squares algorithms. The algorithms are of moderate complexity and can implement nonlinear decision regions which make it suitable for many applications in communication and signal processing.
openaire   +1 more source

Unlocking the Full Potential of Zinc Oxide/Cerium Oxide Composite Nanoparticles for Removal of Mixed Pharmaceutical and Dye Pollutants in Water

Advanced Materials Interfaces, EarlyView.
ZnO/CeO2 composite nanoparticles synthesized via a facile hydrothermal method simultaneously degrade ciprofloxacin, tetracycline, methylene blue, and methyl orange in a four‐component mixture under UV irradiation. The Ce3+/Ce4+ redox cycling and oxygen vacancies at the ZnO/CeO2 interface suppress charge recombination and enhance reactive species ...
Aditya Rianjanu, Rima Nurfitria, Eka Nurfani, Rizky Aflaha, Kuwat Triyana, Tarmizi Taher, Agustina Sus Andreani, Noto Susanto Gultom, Januar Widakdo, Dian Ahmad Hapidin, Erwin Peiner, Hutomo Suryo Wasisto   +11 more
wiley   +1 more source

Scientific Impact Prediction via Virtual Geography Hawkes Process

Applied Sciences
This brief proposes a novel Virtual-Geography Hawkes Process (VG-Hawkes) to model citation dynamics considering academic networks. The VG-Hawkes model incorporates academic relationships between authors as virtual distances by extending the conventional ...
Babusurya Ganeshbabu, Xin Liu, Akiyoshi Matono, Kyoung-Sook Kim, Xun Shen   +4 more
doaj   +1 more source

A new kernel method for hyperspectral image feature extraction

Geo-spatial Information Science, 2017
Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of ...
Bin Zhao, Lianru Gao, Wenzhi Liao, Bing Zhang   +3 more
doaj   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

Bayesian Kernel Methods

, 2003
Bayesian methods allow for a simple and intuitive representation of the function spaces used by kernel methods. This chapter describes the basic principles of Gaussian Processes, their implementation and their connection to other kernel-based Bayesian estimation methods, such as the Relevance Vector Machine.
Smola, Alexander, Schoelkopf, Bernhard
openaire   +2 more sources

Large‐Scale and Cost‐Effective Fabrication of Ultra‐Thin, Biodegradable Microelectrode Arrays and Pressure Sensors Using Laser Micromachining

Advanced Materials Technologies, EarlyView.
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala, Asfand Tanwear, María Cerezo‐Sánchez, Hossein Parvizi, Morteza Amjadi, Hadi Heidari   +5 more
wiley   +1 more source

Research on PSO-based intuitionistic fuzzy kernel clustering algorithm

Tongxin xuebao, 2015
The intuitionistic fuzzy kernel c-means clustering algorithm has several problems such as sensitivity to the ini-tial value,low convergence speed,etc.To overcome these shortages,the particle swarm optimization (PSO) algorithm with powerful ability of ...
UXiao-dong Y, EIYing-jie L, UEShao-hua Y, ANGRui W   +3 more
doaj  

Flexible Chemiresistive Chitosan‐Glycerol Sensors on Laser‐Induced Graphene Electrodes for Room‐Temperature Ammonia Detection

Advanced Materials Technologies, EarlyView.
Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu, Richard Murray, Cara‐Lena Nies, Cathal Larrigy, Martina Piletti, Jahidul Islam, Daniela Iacopino, Eileen Hurley, Michael Nolan, Aidan J. Quinn   +9 more
wiley   +1 more source