Feedback control architecture and the bacterial chemotaxis network. by Abdullah Hamadeh, Mark A J Roberts, Elias August, Patrick E McSharry, Philip K Maini, Judith P Armitage, Antonis Papachristodoulou

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Real-Time Image Semantic Segmentation Based on Improved DeepLabv3+ Network by Peibo Li, Jiangwu Zhou, Xiaohua Xu

“…First, the MobileNetV2 model with less computational overhead and number of parameters is selected as the backbone network to improve the segmentation speed; then, the Feature Enhancement Module (FEM) is introduced to several shallow features with different scale sizes in MobileNetV2, and then these shallow features are fused to improve the utilization rate of the model encoder on the edge information, to retain more detailed information and to improve the network’s feature representation ability for complex scenes; finally, to address the problem that the output feature maps of Atrous Spatial Pyramid Pooling (ASPP) module do not pay enough attention to detailed information after merging, the FEM attention mechanism is introduced on the feature maps processed by the ASPP module. …”
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Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

“…OptiNiSt includes the following features. 1) Researchers can easily create analysis pipelines by selecting multiple processing modules, tuning their parameters, and visualizing the results at each step through a graphic user interface in a web browser. 2) In addition to pre-installed tools, new analysis algorithms can be easily added. 3) Once a processing pipeline is designed, the entire workflow with its modules and parameters are stored in a YAML file, which makes the pipeline reproducible and deployable on high-performance computing clusters. 4) OptiNiSt can read image data in a variety of file formats and store the analysis results in NWB (Neurodata Without Borders), a standard data format for data sharing. …”
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RSero: A user-friendly R package to reconstruct pathogen circulation history from seroprevalence studies. by Nathanaël Hozé, Margarita Pons-Salort, C Jessica E Metcalf, Michael White, Henrik Salje, Simon Cauchemez

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CNN based plant disease identification using PYNQ FPGA by Vivek Karthick Perumal, Supriyaa T, Santhosh P R, Dhanasekaran S

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

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A Perspective View of Cotton Leaf Image Classification Using Machine Learning Algorithms Using WEKA by Bhagya M. Patil, Vishwanath Burkpalli

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The mechanical influence of densification on epithelial architecture. by Christian Cammarota, Nicole S Dawney, Philip M Bellomio, Maren Jüng, Alexander G Fletcher, Tara M Finegan, Dan T Bergstralh

“…This prompted us to ask to what extent epithelial architecture emerges from two mechanical considerations: A) the constraints of densification and B) cell-cell adhesion, a hallmark feature of epithelial cells. To address these questions, we developed a novel polyline cell-based computational model and used it to make theoretical predictions about epithelial architecture upon changes to density and cell-cell adhesion. …”
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On the origins of suboptimality in human probabilistic inference. by Luigi Acerbi, Sethu Vijayakumar, Daniel M Wolpert

“…The degree of suboptimality was modulated by statistical features of the priors but was largely independent of the class of the prior and level of noise in the cue, suggesting that suboptimality in dealing with complex statistical features, such as bimodality, may be due to a problem of acquiring the priors rather than computing with them. …”
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Network archaeology: uncovering ancient networks from present-day interactions. by Saket Navlakha, Carl Kingsford

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Expanding and improving analyses of nucleotide recoding RNA-seq experiments with the EZbakR suite. by Isaac W Vock, Justin W Mabin, Martin Machyna, Alexandra Zhang, J Robert Hogg, Matthew D Simon

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Elucidating relationships between P.falciparum prevalence and measures of genetic diversity with a combined genetic-epidemiological model of malaria. by Jason A Hendry, Dominic Kwiatkowski, Gil McVean

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A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States. by John M Drake, Andreas Handel, Éric Marty, Eamon B O'Dea, Tierney O'Sullivan, Giovanni Righi, Andrew T Tredennick

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A hybrid deep learning and differential evolution approach for accurate fake news detection by Shailendra Pratap Singh, Naween Kumar, Gyanendra Kumar, Ahamed Shafeeq B.M.

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Molecular evolution of peptide ligands with custom-tailored characteristics for targeting of glycostructures. by Niels Röckendorf, Markus Borschbach, Andreas Frey

“…As an advanced approach to identify suitable targeting molecules required for various diagnostic and therapeutic interventions, we developed a procedure to devise peptides with customizable features by an iterative computer-assisted optimization strategy. …”
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MLP-UNet: an algorithm for segmenting lesions in breast and thyroid ultrasound images by Tian-feng Dong, Chang-jiang Zhou, Zhen-yi Huang, Hao Zhao, Xue-long Wang, Shi-ju Yan

“…Attention module is a lightweight employed during the skip connections to enhance feature representation. Using only using 33.75 M parameters, MLP-UNet achieves state-of-the-art segmentation performance. …”
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An off-lattice discrete model to characterise filamentous yeast colony morphology. by Kai Li, J Edward F Green, Hayden Tronnolone, Alexander K Y Tam, Andrew J Black, Jennifer M Gardner, Joanna F Sundstrom, Vladimir Jiranek, Benjamin J Binder

“…The colony size at the transition from sated to pseudohyphal growth, and a forking mechanism for pseudohyphal cell proliferation are the key features driving colony morphology. Simulations run with the most likely inferred parameters produce colony morphologies that closely resemble experimental results.…”
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Bistability and oscillations in the Huang-Ferrell model of MAPK signaling. by Liang Qiao, Robert B Nachbar, Ioannis G Kevrekidis, Stanislav Y Shvartsman

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In silico identification of potential calcium dynamics and sarcomere targets for recovering left ventricular function in rat heart failure with preserved ejection fraction. by Stefano Longobardi, Anna Sher, Steven A Niederer

“…The model simulated left ventricular (LV) pressure-volume loops that were described by 14 scalar features. We trained a Gaussian process emulator to map the 16 input parameters to each of the 14 outputs. …”
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iSeizdiag: toward the framework development of epileptic seizure detection for healthcare by Ashish Sharma, Ashish Sharma, Akshat Saxena, Mradul Agrawal, Kunal Kishor, Deepti Kaushik, Prateek Jain, Arvind R. Yadav, Manob Jyoti Saikia, Manob Jyoti Saikia

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