[HTML][HTML] Scalable and accurate deep learning with electronic health records
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized
medicine and improve healthcare quality. Constructing predictive statistical models …
medicine and improve healthcare quality. Constructing predictive statistical models …
An energy-balanced routing method based on forward-aware factor for wireless sensor networks
D Zhang, G Li, K Zheng, X Ming… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
As an important part of industrial application (IA), the wireless sensor network (WSN) has
been an active research area over the past few years. Due to the limited energy and …
been an active research area over the past few years. Due to the limited energy and …
Organic solvent pretreatment of lignocellulosic biomass for biofuels and biochemicals: A review
K Zhang, Z Pei, D Wang - Bioresource technology, 2016 - Elsevier
Lignocellulosic biomass represents the largest potential volume and lowest cost for biofuel
and biochemical production. Pretreatment is an essential component of biomass conversion …
and biochemical production. Pretreatment is an essential component of biomass conversion …
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
The discriminative model learning for image denoising has been recently attracting considerable
attentions due to its favorable denoising performance. In this paper, we take one step …
attentions due to its favorable denoising performance. In this paper, we take one step …
[HTML][HTML] A review of structure construction of silk fibroin biomaterials from single structures to multi-level structures
The biological performance of artificial biomaterials is closely related to their structure
characteristics. Cell adhesion, migration, proliferation, and differentiation are all strongly affected …
characteristics. Cell adhesion, migration, proliferation, and differentiation are all strongly affected …
[HTML][HTML] The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis
Mobile devices such as laptops, personal digital assistants, and mobile phones have become
a learning tool with great potential in both classrooms and outdoor learning. Although …
a learning tool with great potential in both classrooms and outdoor learning. Although …
A review of one-dimensional TiO 2 nanostructured materials for environmental and energy applications
One-dimensional TiO2 (1D TiO2) nanomaterials with unique structural and functional
properties have been extensively used in various fields including photocatalytic degradation of …
properties have been extensively used in various fields including photocatalytic degradation of …
Study of the electronic structure and photocatalytic activity of the BiOCl photocatalyst
A novel bismuth oxychloride (BiOCl) was synthesized by a hydrolysis method. The powder
sample was characterized by X-ray diffraction, field emission scanning electron microscope …
sample was characterized by X-ray diffraction, field emission scanning electron microscope …
[BOOK][B] Electromagnetic theory for microwaves and optoelectronics
K Zhang, D Li, K Chang, K Zhang, D Li - 1998 - Springer
Using damping wave in the ultra-short wave band, H. Hertz experimentally confirmed the
existence of electromagnetic wave, and measured some of its properties. However, the first …
existence of electromagnetic wave, and measured some of its properties. However, the first …
[HTML][HTML] Comparison of RNA-seq and microarray-based models for clinical endpoint prediction
W Zhang, Y Yu, F Hertwig, J Thierry-Mieg, W Zhang… - Genome biology, 2015 - Springer
Background Gene expression profiling is being widely applied in cancer research to identify
biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for …
biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for …