Results 1 to 10 of about 64,365 (235)
Objective: To explore the characteristics of Non-Negative Matrix Factorization (NNMF) in analyzing the mechanical characteristics of foot functional units during walking and running.Methods: Eighteen subjects (9 males and 9 females) were recruited, and ...
Xiaotian Bai +5 more
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High-throughput chromosome conformation capture assays, such as Hi-C, have shown that the genome is organized into organizational units such as topologically associating domains (TADs), which can impact gene regulatory processes.
Da-Inn Lee, Sushmita Roy
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FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features
Traffic flow forecasting is a critical input to intelligent transportation systems. Accurate traffic flow forecasting can provide an effective reference for implementing traffic management strategies, developing travel route planning, and public ...
Qianqian Zhou, Nan Chen, Siwei Lin
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On the Efficiency of Supernodal Factorization in Interior-Point Method Using CPU-GPU Collaboration
Primal-dual interior-point method (PDIPM) is the most efficient technique for solving sparse linear programming (LP) problems. Despite its efficiency, PDIPM remains a compute-intensive algorithm.
Usman Ali Shah +3 more
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Summary: In this article we use high-throughput epigenomics, transcriptomics, and proteomics data to construct fine-graded models of the “protein-coding units” gathering all transcript isoforms and chromatin accessibility peaks associated with more than ...
Alberto Zenere +3 more
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Unlimited Lists of Quadratic Integers of Given Norm - Application to Some Arithmetic Properties
We use the polynomials $m_s(t) = t^2 - 4 s$, $s \in \{-1, 1\}$, in an elementary process giving unlimited lists of {\it fundamental units of norm $s$}, of real quadratic fields, with ascending order of the discriminates.
Georges Gras
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Collaborative Filtering Recommendation Algorithm Based on Attention GRU and Adversarial Learning
Aiming at the problem that the traditional collaborative filtering algorithm using shallow models cannot learn the deep features of users and items, and the recommendation model is very susceptible to the counter-interference of its parameters; this ...
Hongbin Xia, Jing Jing Li, Yuan Liu
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The spatio-temporal features of perceived-as-genuine and deliberate expressions.
Reading the genuineness of facial expressions is important for increasing the credibility of information conveyed by faces. However, it remains unclear which spatio-temporal characteristics of facial movements serve as critical cues to the perceived ...
Shushi Namba +2 more
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Explainability Using Bayesian Networks for Bias Detection: FAIRness with FDO [PDF]
In this paper we aim to provide an implementation of the FAIR Data Points (FDP) spec, that will apply our bias detection algorithm and automatically calculate a FAIRness score (FNS).
Ronit Purian, Natan Katz, Batya Feldman
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On the Phenomenological Approach to Grammar
On the Phenomenological Approach to Grammar Phenomenological foundations for grammar description of the natural language are under considerations. The picture of language world based on the factorization of communication and cognitivity is proposed ...
Volodymyr Shyrokov, Igor Shevchenko
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