Results 201 to 210 of about 1,296,830 (230)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

A Smart Bio‐Battery Facilitates Diabetic Bone Defect Repair Via Inducing Macrophage Reprogramming and Synergistically Modulating Bone Remodeling Coupling

Advanced Functional Materials, EarlyView.
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv, Haifu Sun, Wenxiang Tang, Yonggang Li, Zhonglai Qian, Lihui Hong, Chong Chen, Hongye Li, Jiaxiang Bai, Yusen Qiao, Mingming Liu   +10 more
wiley   +1 more source

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Weight coefficients in the weighted least squares method

Numerical Analysis and Applications, 2015
Summary: We consider a problem of estimating some parameters of linear mathematical models. It is found that by choosing weight coefficients in the least squares method, one can obtain solutions by minimizing any penalty functions of a wide class, including Hölder norms.
Bychkov, I. V., Zorkal'tsev, V. I., Kazazaeva, A. V.   +2 more
openaire   +2 more sources

Weighted Averaging Method For Evoked Potential: Determination Of Weighted Coefficients

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992
The signal-to-noise ratio (SNR) depends on the selection of weighted coefficients when weighted averaging is applied to estimate evoked potentials (EP's). In contrast to Hoke's method based on the consideration of the noise activity in one ensemble being evaluated in terms of statistics, we suggest that the output energy after weighted averaging can be
Zhaoxia Fan, Tao Wang
openaire   +1 more source

A General Weighted Two-Way Dissimilarity Coefficient

Journal of Classification, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cox TF, Cox MAA
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A New Determining Objective Weights Method-Gini Coefficient Weight

2009 First International Conference on Information Science and Engineering, 2009
The paper raises a new objective weighting method called Gini coefficient weight, which is based on the perspective of economic. This new method preferably reflects the volatility of single indexical information and difference degree. According to the comparatively of Gini coefficient weight method, the entropy weight method and standard deviation ...
Gang Li, Guotai Chi
openaire   +1 more source

CAMWI: Detecting protein complexes using weighted clustering coefficient and weighted density

Computational Biology and Chemistry, 2015
Detection of protein complexes is very important to understand the principles of cellular organization and function. Recently, large protein-protein interactions (PPIs) networks have become available using high-throughput experimental techniques. These networks make it possible to develop computational methods for protein complex detection. Most of the
Amir, Lakizadeh, Saeed, Jalili, Sayed-Amir, Marashi   +2 more
openaire   +2 more sources

Unilateral Weighted Jaccard Coefficient for NLP

2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI), 2015
Similarity measures are essential to solve many pattern recognition problems such as classification, clustering, and retrieval problems. Various similarity measures are categorized in both syntactic and semantic relationships. In this paper we present a novel similarity, Unilateral Weighted Jaccard Coefficient (uwJaccard), which takes into ...
Julio Santisteban, Javier Tejada-Carcamo
openaire   +1 more source

Weighted DCT coefficient based text detection

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
This paper addresses text detection utilizing weighted discrete cosine transform (DCT) coefficients as a discrimination statistic. The sum of absolute value of DCT coefficients in each block is considered as an energy statistic for detection. Linear discriminant analysis (LDA) is conducted to calculate the optimal threshold.
null Su Lu, Kenneth E. Barner
openaire   +1 more source

”Placed-Stone” Jetty, Stone Weight Coefficients

Journal of the Waterways and Harbors Division, 1964
Hydraulic model tests and some field experience show that placing of armor stone in rubble-mound jetties with the long axis of each stone normal to the surface of the jetty will increase the life and effectiveness of the jetty. The model study demonstrated that when two layers of stones are placed with the long axes perpendicular to the length of the ...
Harold A. Kidby, Samuel B. Powell, Arthur L. Roberts   +2 more
openaire   +1 more source