Design principles for the glycoprotein quality control pathway. by Aidan I Brown, Elena F Koslover

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Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbers. by Kris V Parag, Christl A Donnelly

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Cluster detection with random neighbourhood covering: Application to invasive Group A Streptococcal disease. by Massimo Cavallaro, Juliana Coelho, Derren Ready, Valerie Decraene, Theresa Lamagni, Noel D McCarthy, Dan Todkill, Matt J Keeling

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Probing the energy landscape of activation gating of the bacterial potassium channel KcsA. by Tobias Linder, Bert L de Groot, Anna Stary-Weinzinger

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Exploring the transmission of cognitive task information through optimal brain pathways. by Zhengdong Wang, Yifeixue Yang, Ziyi Huang, Wanyun Zhao, Kaiqiang Su, Hengcheng Zhu, Dazhi Yin

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Defrosting the digital library: bibliographic tools for the next generation web. by Duncan Hull, Steve R Pettifer, Douglas B Kell

“…We illustrate the current process of using these libraries with a typical workflow, and highlight problems with managing data and metadata using URIs. …”
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Monte Carlo Planning Method Estimates Planning Horizons during Interactive Social Exchange. by Andreas Hula, P Read Montague, Peter Dayan

“…A natural framework for this is that of an interactive partially observable Markov decision process (IPOMDP). However, the various complexities make IPOMDPs inordinately computationally challenging. …”
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Stochastic Simulation of Biomolecular Networks in Dynamic Environments. by Margaritis Voliotis, Philipp Thomas, Ramon Grima, Clive G Bowsher

“…We thus sample trajectories of the stochastic process described by the chemical master equation with time-varying propensities. …”
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Perceptual clustering in auditory streaming. by Nathanael Larigaldie, Tim Yates, Ulrik R Beierholm

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Obfuscated malicious traffic detection based on data enhancement by Ke Ye, Tao Zeng, Yubing Duan, Jun Han, Guoxin Zhong, Zhi Chen, Yulong Wang

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Cholinergic modulation of neural networks supports sequential and complementary roles for NREM and REM states in memory consolidation. by Michael Satchell, Edith Butel-Fry, Zahraa Noureddine, Alexis Simmons, Nicolette Ognjanovski, Sara J Aton, Michal R Zochowski

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Automated painting color matching technology based on semantic intelligence understanding by Jiayin Zhang

“…Painting color matching technology is widely used in the production and printing process of products. Traditional painting and color matching have been unable to meet market demands. …”
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Research and application of intelligent learning path optimization based on LSTM-Transformer model by Jinling Wang, Wandong Chai

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

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

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

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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? …”
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CNN based 2D object detection techniques: a review by Badri Raj Lamichhane, Gun Srijuntongsiri, Teerayut Horanont

“…The findings reveal that while 2-stage and hybrid methods achieve superior accuracy and detection precision, 1-stage methods offer faster processing and lower computational complexity, making them advantageous in specific real-time applications.…”
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Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves. by Kris V Parag

“…Our approach borrows from Kalman filtering theory, is quick and easy to compute, generalisable, deterministic and unlike many current methods, requires no change-point or window size assumptions. …”
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