Spatial transcriptomics of FFPE pancreatic intraepithelial neoplasias reveals cellular and molecular alterations of progression to pancreatic ductal carcinoma

Posted by klaurent Hopkins

Kavli Affiliate: Denis Wirtz | Authors: Alexander T.F. Bell, Jacob T. Mitchell, Ashley L. Kiemen, Kohei Fujikura, Helen Fedor, Bonnie Gambichler, Atul Deshpande, Pei-Hsun Wu, Dimitrios N Sidiropoulos, Rossin Erbe, Jacob Stern, Rena Chan, Stephen Williams, James M. Chell, Jacquelyn W Zimmerman, Denis Wirtz, Elizabeth M. Jaffee, Laura D. Wood, Elana J. Fertig and Luciane […]


Continue.. Spatial transcriptomics of FFPE pancreatic intraepithelial neoplasias reveals cellular and molecular alterations of progression to pancreatic ductal carcinoma

Engineered Adhesion Molecules Drive Synapse Organization

Posted by klaurent Hopkins

Kavli Affiliate: Richard Huganir | Authors: William Dylan Hale, Thomas C. Sudhof and Richard L. Huganir | Summary: In multicellular organisms, cell-adhesion molecules connect cells into tissues and mediate intercellular signaling between these cells. In vertebrate brains, synaptic cell-adhesion molecules (SAMs) guide the formation, specification, and plasticity of synapses. Some SAMs, when overexpressed in cultured […]


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Gaia Spectroscopic Orbits Validated with LAMOST and GALAH Radial Velocities

Posted by klaurent Peking

Kavli Affiliate: Subo Dong | First 5 Authors: Dolev Bashi, Sahar Shahaf, Tsevi Mazeh, Simchon Faigler, Subo Dong | Summary: The recently published Gaia DR3 catalog of 181 327 spectroscopic binaries (SB) includes the Keplerian elements of each orbit, but not the measured radial velocities (RVs) and their epochs themselves. Instead, the catalog lists a […]


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Benchmarking quantum logic operations relative to thresholds for fault tolerance

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Stefan Seritan, Timothy Proctor, Kenneth Rudinger, Noah Goss | Summary: Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error correction are given in terms of worst-case error rates — defined via the diamond […]


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Benchmarking quantum logic operations for achieving fault tolerance

Posted by klaurent Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Stefan Seritan, Timothy Proctor, Kenneth Rudinger, Noah Goss | Summary: Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error correction are given in terms of worst-case error rates — defined via the diamond […]


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Benchmarking verified logic operations for fault tolerance

Posted by klaurent Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Stefan Seritan, Timothy Proctor, Kenneth Rudinger, Noah Goss | Summary: The promise of quantum computing depends upon the eventual achievement of fault-tolerant quantum error correction, which requires that the total rate of errors falls below some threshold. However, most contemporary methods for benchmarking noisy quantum […]


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Extracting Densest Sub-hypergraph with Convex Edge-weight Functions

Posted by klaurent UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Shan Hu, Zimo Sheng, , | Summary: The densest subgraph problem (DSG) aiming at finding an induced subgraph such that the average edge-weights of the subgraph is maximized, is a well-studied problem. However, when the input graph is a hypergraph, the existing notion of DSG […]


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BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Runmin Cong, Haowei Yang, Qiuping Jiang, Wei Gao, Haisheng Li | Summary: The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload. However, there are several challenges for […]


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On Scheduling Ring-All-Reduce Learning Jobs in Multi-Tenant GPU Clusters with Communication Contention

Posted by klaurent Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Menglu Yu, Bo Ji, Hridesh Rajan, Jia Liu, | Summary: Powered by advances in deep learning (DL) techniques, machine learning and artificial intelligence have achieved astonishing successes. However, the rapidly growing needs for DL also led to communication- and resource-intensive distributed training jobs for large-scale DL training, […]


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DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting

Posted by klaurent UCAS

Kavli Affiliate: Yi Zhou | First 5 Authors: Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe | Summary: Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated learning typically requires the utilization of multi-party computation techniques to […]


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