TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Meixu Chen, Kai Wang, Michael Dohopolski, Howard Morgan, Jing Wang | Summary: Early identification of head and neck cancer (HNC) patients who would experience significant anatomical change during radiotherapy (RT) is important to optimize patient clinical benefit and treatment resources. This study aims to assess the feasibility […]


Continue.. TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy

The Simons Observatory: Design, integration, and testing of the small aperture telescopes

Posted by dbos Chicago

Kavli Affiliate: Jeffrey J. McMahon | First 5 Authors: Nicholas Galitzki, Tran Tsan, Jake Spisak, Michael Randall, Max Silva-Feaver | Summary: The Simons Observatory (SO) is a cosmic microwave background (CMB) survey experiment that includes small-aperture telescopes (SATs) observing from an altitude of 5,200 m in the Atacama Desert in Chile. The SO SATs will […]


Continue.. The Simons Observatory: Design, integration, and testing of the small aperture telescopes

The Simons Observatory: Design, integration, and testing of the small aperture telescopes

Posted by dbos Chicago

Kavli Affiliate: Jeffrey J. McMahon | First 5 Authors: Nicholas Galitzki, Tran Tsan, Jake Spisak, Michael Randall, Max Silva-Feaver | Summary: The Simons Observatory (SO) is a cosmic microwave background (CMB) survey experiment that includes small-aperture telescopes (SATs) observing from an altitude of 5,200 m in the Atacama Desert in Chile. The SO SATs will […]


Continue.. The Simons Observatory: Design, integration, and testing of the small aperture telescopes

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Yuchen Shi, Shihong Duan, Cheng Xu, Ran Wang, Fangwen Ye | Summary: This work introduces a novel value decomposition algorithm, termed textit{Dynamic Deep Factor Graphs} (DDFG). Unlike traditional coordination graphs, DDFG leverages factor graphs to articulate the decomposition of value functions, offering enhanced flexibility and adaptability to […]


Continue.. Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Yuchen Shi, Shihong Duan, Cheng Xu, Ran Wang, Fangwen Ye | Summary: This work introduces a novel value decomposition algorithm, termed textit{Dynamic Deep Factor Graphs} (DDFG). Unlike traditional coordination graphs, DDFG leverages factor graphs to articulate the decomposition of value functions, offering enhanced flexibility and adaptability to […]


Continue.. Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning

Atomic layer etching of SiO$_2$ using sequential exposures of Al(CH$_3$)$_3$ and H$_2$/SF$_6$ plasma

Posted by dbos Caltech

Kavli Affiliate: Austin Minnich | First 5 Authors: David Catherall, Azmain Hossain, Austin Minnich, , | Summary: On-chip photonic devices based on SiO$_2$ are of interest for applications such as microresonator gyroscopes and microwave sources. Although SiO$_2$ microdisk resonators have achieved quality factors exceeding one billion, this value remains an order of magnitude less than […]


Continue.. Atomic layer etching of SiO$_2$ using sequential exposures of Al(CH$_3$)$_3$ and H$_2$/SF$_6$ plasma

Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation

Posted by dbos Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Meixu Chen, Kai Wang, Jing Wang, , | Summary: A comprehensive and reliable survival prediction model is of great importance to assist in the personalized management of Head and Neck Cancer (HNC) patients treated with curative Radiation Therapy (RT). In this work, we propose IMLSP, an Interpretable […]


Continue.. Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation

Cosmological Consequences of Unconstrained Gravity and Electromagnetism

Posted by dbos Tokyo

Kavli Affiliate: Tom Melia | First 5 Authors: Loris Del Grosso, David E Kaplan, Tom Melia, Vivian Poulin, Surjeet Rajendran | Summary: Motivated by the quantum description of gauge theories, we study the cosmological effects of relaxing the Hamiltonian and momentum constraints in general relativity and Gauss’ law in electromagnetism. We show that the unconstrained […]


Continue.. Cosmological Consequences of Unconstrained Gravity and Electromagnetism

Dopey-dependent regulation of extracellular vesicles maintains neuronal morphology

Posted by dbos UCSD / Salk

Kavli Affiliate: Yishi Jin | Authors: Seungmee Park, Nathaniel Noblett, Lauren Pitts, Antonio Colavita, Ann M Wehman, Yishi Jin and Andrew D Chishol/p> | Summary: Mature neurons maintain their distinctive morphology for extended periods in adult life. Compared to developmental neurite outgrowth, axon guidance, and target selection, relatively little is known of mechanisms that maintain […]


Continue.. Dopey-dependent regulation of extracellular vesicles maintains neuronal morphology

Spin pumping into quantum spin chains

Posted by dbos UCAS

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Shunsuke C. Furuya, Mamoru Matsuo, Takeo Kato, , | Summary: We theoretically investigate spin pumping into a quantum easy-plane ferromagnetic spin chain system. This quantum spin chain is effectively described by the Tomonaga-Luttinger (TL) liquid despite the ferromagnetic exchange interaction because of the easy-plane magnetic anisotropy. This […]


Continue.. Spin pumping into quantum spin chains