Results 31 to 40 of about 1,901,459 (341)
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 +6 more
doaj +1 more source
MultiSec: Multi-Task Deep Learning Improves Secreted Protein Discovery in Human Body Fluids
Mathematics, 2022 Prediction of secreted proteins in human body fluids is essential since secreted proteins hold promise as disease biomarkers. Various approaches have been proposed to predict whether a protein is secreted into a specific fluid by its sequence.
Kai He, Yan Wang, Xuping Xie, Dan Shao
doaj +1 more source
Diversity Analysis of Symbol-by-Symbol Linear Equalizers
, 2011 In frequency-selective channels linear receivers enjoy significantly-reduced complexity compared with maximum likelihood receivers at the cost of performance degradation which can be in the form of a loss of the inherent frequency diversity order or ...
Al-Dhahir, Naofal +2 more
core +1 more source
Unified bit-based probabilistic data association aided MIMO detection for high-order QAM constellations [PDF]
, 2011 A unified Bit-based Probabilistic Data Association (B-PDA) detection approach is proposed for Multiple-Input Multiple-Output (MIMO) systems employing high-order rectangular Quadrature Amplitude Modulation (QAM).
Hanzo, Lajos +3 more
core +1 more source
A Well-Overflow Prediction Algorithm Based on Semi-Supervised Learning
Energies, 2022 Oil drilling is the core process of oil and natural gas resources exploitation. Well overflow is one of the biggest threats to safety drilling. Prediction of the overflow in advance can effectively avoid the occurrence of this kind of accident.
Wei Liu +4 more
doaj +1 more source
Graphic Symbol Recognition using Graph Based Signature and Bayesian Network Classifier
, 2009 We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image analysis and is at heart of most graphic recognition systems. Our method uses
Brouard, Thierry +2 more
core +2 more sources
Current Opinion in Psychology, 2020 Recent research on social movements have shown the significant role protest symbols play in mobilizing action and constructing a shared identity for a group pressing for social change. The present article gives an overview of crowd and social movement theories that focus on how symbols form and maintain groups.
Sarah H Awad, Brady Wagoner
openaire +3 more sources
Frontiers in Plant Science, 2022 Although growing evidence shows that microRNA (miRNA) regulates plant growth and development, miRNA regulatory networks in plants are not well understood. Current experimental studies cannot characterize miRNA regulatory networks on a large scale.
Haowu Chang +17 more
doaj +1 more source
Symbol Grounding and the Symbolic Theft Hypothesis [PDF]
, 2002 Scholars studying the origins and evolution of language are also interested in the general issue of the evolution of cognition. Language is not an isolated capability of the individual, but has intrinsic relationships with many other behavioral, cognitive, and social abilities.
Cangelosi, Angelo +2 more
openaire +5 more sources
Semiclassical Analysis of the Wigner $12j$ Symbol with One Small Angular Momentum
, 2011 We derive an asymptotic formula for the Wigner $12j$ symbol, in the limit of one small and 11 large angular momenta. There are two kinds of asymptotic formulas for the $12j$ symbol with one small angular momentum.
A. P. Yutsis +6 more
core +1 more source