Results 21 to 30 of about 1,958,622 (342)

Prediction of Proteins in Cerebrospinal Fluid and Application to Glioma Biomarker Identification

Molecules, 2023
Cerebrospinal fluid (CSF) proteins are very important because they can serve as biomarkers for central nervous system diseases. Although many CSF proteins have been identified with wet experiments, the identification of CSF proteins is still a challenge.
Kai He, Yan Wang, Xuping Xie, Dan Shao
doaj   +1 more source

Estimates on the Size of Symbol Weight Codes [PDF]

, 2012
The study of codes for powerlines communication has garnered much interest over the past decade. Various types of codes such as permutation codes, frequency permutation arrays, and constant composition codes have been proposed over the years.
Han Mao Kiah, Punarbasu Purkayastha, Senior Member, Student Member, Yeow Meng Chee   +4 more
core   +1 more source

A comprehensive psychological tendency prediction model for pregnant women based on questionnaires

Scientific Reports, 2023
More and more people are under high pressure in modern society, leading to growing mental disorders, such as antenatal depression for pregnant women. Antenatal depression can affect pregnant woman’s physical and psychological health and child outcomes ...
Xiaosong Han, Mengchen Cao, Junru He, Dong Xu, Yanchun Liang, Xiaoduo Lang, Renchu Guan   +6 more
doaj   +1 more source

Symbols and the bifurcation between procedural and conceptual thinking [PDF]

, 2001
Symbols occupy a pivotal position between processes to be carried out and concepts to be thought about. They allow us both to d o mathematical problems and to think about mathematical relationships.
Bin Ali, Maselan, Crowley, Lillie, DeMarois, Phil, Gray, Edward Martin, McGowen, Mercedes, Pinto, Marcia, Pitta, Demetra, Tall, David, Thomas, Michael, Yusof, Yudariah   +9 more
core   +2 more sources

A New Method of RNA Secondary Structure Prediction Based on Convolutional Neural Network and Dynamic Programming

Frontiers in Genetics, 2019
In recent years, obtaining RNA secondary structure information has played an important role in RNA and gene function research. Although some RNA secondary structures can be gained experimentally, in most cases, efficient, and accurate computational ...
Hao Zhang, Chunhe Zhang, Zhi Li, Cong Li, Xu Wei, Borui Zhang, Yuanning Liu   +6 more
doaj   +1 more source

Chinese Few-Shot Named Entity Recognition and Knowledge Graph Construction in Managed Pressure Drilling Domain

Entropy, 2023
Managed pressure drilling (MPD) is the most effective means to ensure drilling safety, and MPD is able to avoid further deterioration of complex working conditions through precise control of the wellhead back pressure.
Siqing Wei, Yanchun Liang, Xiaoran Li, Xiaohui Weng, Jiasheng Fu, Xiaosong Han   +5 more
doaj   +1 more source

Overlapping Community Detection Based on Membership Degree Propagation

Entropy, 2020
A community in a complex network refers to a group of nodes that are densely connected internally but with only sparse connections to the outside. Overlapping community structures are ubiquitous in real-world networks, where each node belongs to at least
Rui Gao, Shoufeng Li, Xiaohu Shi, Yanchun Liang, Dong Xu   +4 more
doaj   +1 more source

Predicting miRNA-disease associations based on multi-view information fusion

Frontiers in Genetics, 2022
MicroRNAs (miRNAs) play an important role in various biological processes and their abnormal expression could lead to the occurrence of diseases. Exploring the potential relationships between miRNAs and diseases can contribute to the diagnosis and ...
Xuping Xie, Yan Wang, Yan Wang, Nan Sheng, Shuangquan Zhang, Yangkun Cao, Yuan Fu   +6 more
doaj   +1 more source

Semiclassical approximation and noncommutative geometry [PDF]

, 2011
We consider the long time semiclassical evolution for the linear Schr\"odinger equation. We show that, in the case of chaotic underlying classical dynamics and for times up to $\hbar^{-2+\epsilon},\ \epsilon>0$, the symbol of a propagated observable by ...
Paul, Thierry
core   +4 more sources

LncMirNet: Predicting LncRNA–miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences

Molecules, 2020
Long non-coding RNA (LncRNA) and microRNA (miRNA) are both non-coding RNAs that play significant regulatory roles in many life processes. There is cumulating evidence showing that the interaction patterns between lncRNAs and miRNAs are highly related to ...
Sen Yang, Yan Wang, Yu Lin, Dan Shao, Kai He, Lan Huang   +5 more
doaj   +1 more source