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Showing results for moe set point
Search for Moe Zet Pwint instead (1 results)
Neurocircuitry of Predatory Hunting.
Zhao ZD, Zhang L, Xiang X, Kim D, Li H, Cao P, Shen WL. Zhao ZD, et al. Neurosci Bull. 2023 May;39(5):817-831. doi: 10.1007/s12264-022-01018-1. Epub 2023 Jan 27. Neurosci Bull. 2023. PMID: 36705845 Free PMC article. Review.
Predatory hunting is an important type of innate behavior evolutionarily conserved across the animal kingdom. It is typically composed of a set of sequential actions, including prey search, pursuit, attack, and consumption. ...We also discuss the overlapping brain circuits …
Predatory hunting is an important type of innate behavior evolutionarily conserved across the animal kingdom. It is typically composed of a …
Predicting meningioma grades and pathologic marker expression via deep learning.
Chen J, Xue Y, Ren L, Lv K, Du P, Cheng H, Sun S, Hua L, Xie Q, Wu R, Gong Y. Chen J, et al. Eur Radiol. 2023 Oct 19. doi: 10.1007/s00330-023-10258-2. Online ahead of print. Eur Radiol. 2023. PMID: 37853176
For WHO grade prediction, the area under the curve (AUC) was 0.966 (95%CI 0.957-0.975) in the internal testing set and 0.669 (95%CI 0.643-0.695) in the external validation cohort. The AUC in predicting Ki-67 index, H3K27me3, and PR status were 0.905 (95%CI 0.895-0.915), 0. …
For WHO grade prediction, the area under the curve (AUC) was 0.966 (95%CI 0.957-0.975) in the internal testing set and 0.669 (95%CI 0 …
Deep learning predicts cervical lymph node metastasis in clinically node-negative papillary thyroid carcinoma.
Zhou LQ, Zeng SE, Xu JW, Lv WZ, Mei D, Tu JJ, Jiang F, Cui XW, Dietrich CF. Zhou LQ, et al. Insights Imaging. 2023 Dec 20;14(1):222. doi: 10.1186/s13244-023-01550-2. Insights Imaging. 2023. PMID: 38117404 Free PMC article.
METHODS: Preoperative US images (BMUS and CDFI) of 1031 clinically node negative PTC patients definitively diagnosed on pathology from two independent hospitals were divided into training set, validation set, internal test set, and external test set. A …
METHODS: Preoperative US images (BMUS and CDFI) of 1031 clinically node negative PTC patients definitively diagnosed on pathology from two i …
Advancing functional connectivity research from association to causation.
Reid AT, Headley DB, Mill RD, Sanchez-Romero R, Uddin LQ, Marinazzo D, Lurie DJ, Valdés-Sosa PA, Hanson SJ, Biswal BB, Calhoun V, Poldrack RA, Cole MW. Reid AT, et al. Nat Neurosci. 2019 Nov;22(11):1751-1760. doi: 10.1038/s41593-019-0510-4. Epub 2019 Oct 14. Nat Neurosci. 2019. PMID: 31611705 Free PMC article.
Approaches that characterize statistical associations among neural time series-functional connectivity (FC) methods-are likely a good starting point for estimating brain network interactions. Yet only a subset of FC methods ('effective connectivity') is explicitly designed …
Approaches that characterize statistical associations among neural time series-functional connectivity (FC) methods-are likely a good starti …
A particle-filter framework for robust cryo-EM 3D reconstruction.
Hu M, Yu H, Gu K, Wang Z, Ruan H, Wang K, Ren S, Li B, Gan L, Xu S, Yang G, Shen Y, Li X. Hu M, et al. Nat Methods. 2018 Dec;15(12):1083-1089. doi: 10.1038/s41592-018-0223-8. Epub 2018 Nov 30. Nat Methods. 2018. PMID: 30504871
Single-particle electron cryomicroscopy (cryo-EM) involves estimating a set of parameters for each particle image and reconstructing a 3D density map; robust algorithms with accurate parameter estimation are essential for high resolution and automation. We introduce a part …
Single-particle electron cryomicroscopy (cryo-EM) involves estimating a set of parameters for each particle image and reconstructing …
CRISPR/Cas9-based point-of-care lateral flow biosensor with improved performance for rapid and robust detection of Mycoplasma pneumonia.
Zhu R, Jiang H, Li C, Li Y, Peng M, Wang J, Wu Q, Yan C, Bo Q, Wang J, Shen C, Qin P. Zhu R, et al. Anal Chim Acta. 2023 May 29;1257:341175. doi: 10.1016/j.aca.2023.341175. Epub 2023 Apr 5. Anal Chim Acta. 2023. PMID: 37062563
Screening of acute respiratory infections causes serious challenges in urgent point-of-care scenarios where conventional methods are impractical and alternative techniques suffer from low accuracy, poor robustness, and reliance on sophisticated instruments. ...Featured wit …
Screening of acute respiratory infections causes serious challenges in urgent point-of-care scenarios where conventional methods are …
Decentralized stochastic sharpness-aware minimization algorithm.
Chen S, Deng X, Xu D, Sun T, Li D. Chen S, et al. Neural Netw. 2024 Apr 17;176:106325. doi: 10.1016/j.neunet.2024.106325. Online ahead of print. Neural Netw. 2024. PMID: 38653126
However, similar to traditional stochastic algorithms, they face a challenge where achieving high fitness on the training set does not necessarily result in good performance on the test set. ...We specifically focus on the Sharpness-Aware Minimization (SAM) algorith …
However, similar to traditional stochastic algorithms, they face a challenge where achieving high fitness on the training set does no …
Learning of Iterative Learning Control for Flexible Manufacturing of Batch Processes.
Xu L, Zhong W, Lu J, Gao F, Qian F, Cao Z. Xu L, et al. ACS Omega. 2022 May 30;7(23):19939-19947. doi: 10.1021/acsomega.2c01741. eCollection 2022 Jun 14. ACS Omega. 2022. PMID: 35721960 Free PMC article.
It is able to recommend control parameters for ILC controllers accordingly, so as to yield fast tracking error convergence and smaller steady-state error for disparate set-point profiles, which is deemed an abstraction of different production needs. ...
It is able to recommend control parameters for ILC controllers accordingly, so as to yield fast tracking error convergence and smaller stead …
Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations on single cell data.
Kopf A, Fortuin V, Somnath VR, Claassen M. Kopf A, et al. PLoS Comput Biol. 2021 Jun 30;17(6):e1009086. doi: 10.1371/journal.pcbi.1009086. eCollection 2021 Jun. PLoS Comput Biol. 2021. PMID: 34191792 Free PMC article.
MoE-Sim-VAE is based on a Variational Autoencoder (VAE), where the decoder consists of a Mixture-of-Experts (MoE) architecture. ...MoE-Sim-VAE exhibits superior clustering performance on all these tasks in comparison to the baselines as well as competitor met …
MoE-Sim-VAE is based on a Variational Autoencoder (VAE), where the decoder consists of a Mixture-of-Experts (MoE) architecture …
Carcinogenicity of acetaldehyde in alcoholic beverages: risk assessment outside ethanol metabolism.
Lachenmeier DW, Kanteres F, Rehm J. Lachenmeier DW, et al. Addiction. 2009 Apr;104(4):533-50. doi: 10.1111/j.1360-0443.2009.02516.x. Addiction. 2009. PMID: 19335652 Review.
The risk assessment was conducted using the European Food Safety Authority's margin of exposure (MOE) approach with benchmark doses obtained from dose-response modelling of animal experiments. ...RESULTS: The average exposure to acetaldehyde from alcoholic beverages was es …
The risk assessment was conducted using the European Food Safety Authority's margin of exposure (MOE) approach with benchmark doses o …
67 results