Research and application of intelligent learning path optimization based on LSTM-Transformer model by Jinling Wang, Wandong Chai

Get full text

Efficient Bayesian inference for mechanistic modelling with high-throughput data. by Simon Martina Perez, Heba Sailem, Ruth E Baker

“…Bayesian methods are routinely used to combine experimental data with detailed mathematical models to obtain insights into physical phenomena. However, the computational cost of Bayesian computation with detailed models has been a notorious problem. …”
Get full text

Faithful novel machine learning for predicting quantum properties by Gavin Nop, Micah Mundy, Jonathan D. H. Smith, Durga Paudyal

Get full text

Hybrid Filter-Wrapper Feature Selection using Modified Flower Pollination Algorithm by Mohammad Ansari Shiri, Najme Mansouri

Get full text

Unifying view of mechanical and functional hotspots across class A GPCRs. by Luca Ponzoni, Giulia Rossetti, Luca Maggi, Alejandro Giorgetti, Paolo Carloni, Cristian Micheletti

Get full text

From decision to action: Detailed modelling of frog tadpoles reveals neuronal mechanisms of decision-making and reproduces unpredictable swimming movements in response to sensory s... by Andrea Ferrario, Andrey Palyanov, Stella Koutsikou, Wenchang Li, Steve Soffe, Alan Roberts, Roman Borisyuk

“…How does the brain process sensory stimuli, and decide whether to initiate locomotor behaviour? …”
Get full text

The interplay between the martensitic transformation rate and the rate of plastic relaxation during martensitic transformation in low-carbon steel, a phase-field study by Hesham Salama, Oleg Shchyglo, Ingo Steinbach

Get full text

Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves. by Kris V Parag

“…We model R as a flexible, hidden Markov state process and exactly solve forward-backward algorithms, to derive R estimates that incorporate all available incidence information. …”
Get full text

Integrative multi-omics module network inference with Lemon-Tree. by Eric Bonnet, Laurence Calzone, Tom Michoel

Get full text

Partial information decomposition reveals that synergistic neural integration is greater downstream of recurrent information flow in organotypic cortical cultures. by Samantha P Sherrill, Nicholas M Timme, John M Beggs, Ehren L Newman

“…The directionality of network information flow dictates how networks process information. A central component of information processing in both biological and artificial neural networks is their ability to perform synergistic integration-a type of computation. …”
Get full text

Phylogenetic diversity theory sheds light on the structure of microbial communities. by James P O'Dwyer, Steven W Kembel, Jessica L Green

Get full text

Thermodynamic modeling of genome-wide nucleosome depleted regions in yeast. by Hungyo Kharerin, Lu Bai

Get full text

A SURVEY OF AI IMAGING TECHNIQUES FOR COVID-19 DIAGNOSIS AND PROGNOSIS by KK Praneeth Tellakula, Saravana Kumar R, Sanjoy Deb

“…Applying AI on image acquisition will help automate the process of scanning and providing protection to lab technicians. …”
Get full text

Connectome-based biophysical models of pathological protein spreading in neurodegenerative diseases. by Peng Ren, Xuehua Cui, Xia Liang

“…To elucidate this dynamic process in vivo from a computational perspective, researchers have proposed three connectome-based biophysical models to simulate the spread of pathological proteins: the Network Diffusion Model, the Epidemic Spreading Model, and the agent-based Susceptible-Infectious-Removed model. …”
Get full text

Gathering for Free: Embedding Economic Incentives in Social Networks Shape the Diffusion of NFTs by Zhe LI, Tianfang ZHAO, Hongjun ZHU

Get full text

Structural organization and energy storage in crosslinked actin assemblies. by Rui Ma, Julien Berro

Get full text

Conformal prediction for uncertainty quantification in dynamic biological systems. by Alberto Portela, Julio R Banga, Marcos Matabuena

“…Uncertainty quantification (UQ) is the process of systematically determining and characterizing the degree of confidence in computational model predictions. …”
Get full text

College psychological stress assessment system based on LabVIEW and WTA integration by Ting Wang

Get full text

Quantitative dynamics of telomere bouquet formation. by David M Richards, Emma Greer, Azahara C Martin, Graham Moore, Peter J Shaw, Martin Howard

Get full text

Catalyst: Fast and flexible modeling of reaction networks. by Torkel E Loman, Yingbo Ma, Vasily Ilin, Shashi Gowda, Niklas Korsbo, Nikhil Yewale, Chris Rackauckas, Samuel A Isaacson

Get full text