Enhancing vibrationally assisted energy transfer by proximity to exceptional points and probing the distance via fluorescence-detected vibrational spectroscopy

Posted by klaurent Berkeley

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Zeng-Zhao Li, K. Birgitta Whaley, , , | Summary: Emulation of energy transfer processes in natural systems on quantum platforms can further our understanding of complex dynamics in nature. One notable example is the demonstration of vibrationally assisted energy transfer (VAET) on a trapped-ion quantum emulator, which […]


Continue.. Enhancing vibrationally assisted energy transfer by proximity to exceptional points and probing the distance via fluorescence-detected vibrational spectroscopy

BASS XXXIV: A Catalog of the Nuclear Mm-wave Continuum Emission Properties of AGNs Constrained on Scales $lesssim$ 100–200 pc

Posted by klaurent Peking

Kavli Affiliate: Claudio Ricci | First 5 Authors: Taiki Kawamuro, Claudio Ricci, Richard F. Mushotzky, Masatoshi Imanishi, Franz E. Bauer | Summary: We present a catalog of the millimeter-wave (mm-wave) continuum properties of 98 nearby ($z <$ 0.05) active galactic nuclei (AGNs) selected from the 70-month Swift/BAT hard X-ray catalog that have precisely determined X-ray […]


Continue.. BASS XXXIV: A Catalog of the Nuclear Mm-wave Continuum Emission Properties of AGNs Constrained on Scales $lesssim$ 100–200 pc

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]


Continue.. MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]


Continue.. MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Andrey Bernstein, Joshua Comden, Yue Chen, Jing Wang, | Summary: Online feedback-based optimization has become a promising framework for real-time optimization and control of complex engineering systems. This tutorial paper surveys the recent advances in the field as well as provides novel convergence results for primal-dual online […]


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Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Shanshan Tang, Kai Wang, David Hein, Gloria Lin, Nina N. Sanford | Summary: Objectives: Approximately 30% of non-metastatic anal squamous cell carcinoma (ASCC) patients will experience recurrence after chemoradiotherapy (CRT), and currently available clinical variables are poor predictors of treatment response. We aimed to develop a model […]


Continue.. Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model

Cosmological Implications of Kalb-Ramond-Like-Particles

Posted by Chicago

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Christian Capanelli, Leah Jenks, Edward W. Kolb, Evan McDonough, | Summary: The Kalb-Ramond field is an antisymmetric, rank-two tensor field which most notably appears in the context of string theory, but has largely been unexplored in the context of cosmology. In this work, motivated by the […]


Continue.. Cosmological Implications of Kalb-Ramond-Like-Particles

Cosmological Implications of Kalb-Ramond-Like-Particles

Posted by Chicago

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Christian Capanelli, Leah Jenks, Edward W. Kolb, Evan McDonough, | Summary: The Kalb-Ramond field is an antisymmetric, rank-two tensor field which most notably appears in the context of string theory, but has largely been unexplored in the context of cosmology. In this work, motivated by the […]


Continue.. Cosmological Implications of Kalb-Ramond-Like-Particles

Cosmological Implications of Kalb-Ramond-Like-Particles

Posted by klaurent Chicago

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Christian Capanelli, Leah Jenks, Edward W. Kolb, Evan McDonough, | Summary: The Kalb-Ramond field is an antisymmetric, rank-two tensor field which most notably appears in the context of string theory, but has largely been unexplored in the context of cosmology. In this work, motivated by the […]


Continue.. Cosmological Implications of Kalb-Ramond-Like-Particles

Computing SHAP Efficiently Using Model Structure Information

Posted by klaurent Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Linwei Hu, Ke Wang, , , | Summary: SHAP (SHapley Additive exPlanations) has become a popular method to attribute the prediction of a machine learning model on an input to its features. One main challenge of SHAP is the computation time. An exact computation of Shapley values […]


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