The fidelity of dynamic signaling by noisy biomolecular networks. by Clive G Bowsher, Margaritis Voliotis, Peter S Swain

Get full text

Construction and implementation of knowledge enhancement pre-trained language model for text sentiment analysis by Lan Cui

Get full text

Deep learning based fine-grained recognition technology for basketball movements by Lin Zhang

Get full text

The origin of minus-end directionality and mechanochemistry of Ncd motors. by Biman Jana, Changbong Hyeon, José N Onuchic

“…Here, by employing a structure-based model of protein folding, we show that a simple repositioning of the neck-helix makes the dynamics of Ncd non-processive and minus-end directed as opposed to kinesin-1. …”
Get full text

Model guided trait-specific co-expression network estimation as a new perspective for identifying molecular interactions and pathways. by Juho A J Kontio, Tanja Pyhäjärvi, Mikko J Sillanpää

“…Resulting trait-specific co-expression network estimation method 1) serves to enhance the interpretation of biological networks in a parametric sense, and 2) exploits the underlying parametric model itself in the estimation process. To also account for the substantial amount of intrinsic noise and collinearities, often entailed by expression data, a tailored co-expression measure is introduced along with this framework to alleviate related computational problems. …”
Get full text

Identification of hateful amharic language memes on facebook using deep learning algorithms by Mequanent Degu Belete, Girma Kassa Alitasb

Get full text

A multi-scale study of thalamic state-dependent responsiveness. by Jorin Overwiening, Federico Tesler, Domenico Guarino, Alain Destexhe

Get full text

Blockchain-based inter-operator settlement system by Shifu Zhang, Yulin Pan

“…The framework achieves full-process traceability, automated reconciliation, and enhanced financial governance while reducing reliance on manual intervention. …”
Get full text

Model supports asymmetric regulation across the intercellular junction for collective cell polarization. by Katherine Levandosky, Calina Copos

Get full text

CNN-BiLSTM and DC-IGN fusion model and piecewise exponential attenuation optimization: an innovative approach to improve EEG emotion recognition performance by Shaohua Zhang, Yan Feng, Ruzhen Chen, Song Huang, Qianchu Wang

“…EEG emotion recognition has important applications in human-computer interaction and mental health assessment, but existing models have limitations in capturing the complex spatial and temporal features of EEG signals. …”
Get full text

Discovery of new high-pressure phases – integrating high-throughput DFT simulations, graph neural networks, and active learning by Ching-Chien Chen, Robert J. Appleton, Saswat Mishra, Kat Nykiel, Alejandro Strachan

“…Despite its importance, the process of finding new high-pressure phases, either experimentally or computationally, is time-consuming and often driven by intuition. …”
Get full text

Multi‐modal fusion attention sentiment analysis for mixed sentiment classification by Zhuanglin Xue, Jiabin Xu

Get full text

Bayesian exploration of the composition space of CuZrAl metallic glasses for mechanical properties by Tero Mäkinen, Anshul D. S. Parmar, Silvia Bonfanti, Mikko J. Alava

Get full text

The spatial structure of stimuli shapes the timescale of correlations in population spiking activity. by Ashok Litwin-Kumar, Maurice J Chacron, Brent Doiron

Get full text

Analysis of the effects of digital transformation of enterprise clusters on innovation performance in the context of “Internet+” by Sumei Zeng, Jinding Bao

Get full text

Prediction of gene expression in embryonic structures of Drosophila melanogaster. by Anastasia A Samsonova, Mahesan Niranjan, Steven Russell, Alvis Brazma

“…The reliability of our predictions is confirmed by literature-derived annotations in FlyBase, by overrepresentation of Gene Ontology biological process annotations, and, in a selected set, by detailed gene-specific studies from the literature. …”
Get full text

Modelling trial-by-trial changes in the mismatch negativity. by Falk Lieder, Jean Daunizeau, Marta I Garrido, Karl J Friston, Klaas E Stephan

“…However, the algorithmic nature of these computations and the underlying neurobiological implementation remain controversial. …”
Get full text

Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization. by Victor Geadah, Stefan Horoi, Giancarlo Kerg, Guy Wolf, Guillaume Lajoie

“…To answer this question, a multi-scaled approach is needed where the computations of single neurons and neural circuits must be considered as a complete system. …”
Get full text

GAPF-DFT: A graph-based alchemical perturbation density functional theory for catalytic high-entropy alloys by Mohamed Hendy, Okan K. Orhan, Homin Shin, Ali Malek, Mauricio Ponga

“…To address this issue, we developed a graph-based Gaussian process regression model to correct discrepancies between APDFT and conventional density functional theory values. …”
Get full text

Control Strategy of a Rotating Power Flow Controller Based on an Improved Hybrid Particle Swarm Optimization Algorithm by Ziyang Zhang, Jiaoxin Jia, Waseem Aslam, Abubakar Siddique, Fahad R. Albogamy

Get full text