An Analytical Latency Model and Evaluation of the Capacity of 5G NR to Support V2X Services using V2N2V Communications

Kavli Affiliate: T. Higuchi | First 5 Authors: M. C. Lucas-Estañ, B. Coll-Perales, T. Shimizu, J. Gozalvez, T. Higuchi | Summary: 5G has been designed to support applications such as connected and automated driving. To this aim, 5G includes a highly flexible New Radio (NR) interface that can be configured to utilize different subcarrier spacings […]


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End-to-End V2X Latency Modeling and Analysis in 5G Networks

Kavli Affiliate: T. Higuchi | First 5 Authors: B. Coll-Perales, M. C. Lucas-Estañ, T. Shimizu, J. Gozalvez, T. Higuchi | Summary: 5G networks provide higher flexibility and improved performance compared to previous cellular technologies. This has raised expectations on the possibility to support advanced V2X services using the cellular network via Vehicle-to-Network (V2N) and V2N2V […]


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Coherent coupling of two remote magnonic resonators mediated by superconducting circuits

Kavli Affiliate: Clarence L. Chang | First 5 Authors: Yi Li, Volodymyr G. Yefremenko, Marharyta Lisovenko, Cody Trevillian, Tomas Polakovic | Summary: We demonstrate microwave-mediated distant magnon-magnon coupling on a superconducting circuit platform, incorporating chip-mounted single-crystal Y$_3$Fe$_5$O$_{12}$ (YIG) spheres. Coherent level repulsion and dissipative level attraction between the magnon modes of the two YIG spheres […]


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Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Kavli Affiliate: T. A. Shutt, C. M. Ignarra, Daniel S. Akerib | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This […]


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Fast and Flexible Analysis of Direct Dark Matter Search Data with Machine Learning

Kavli Affiliate: T. A. Shutt | First 5 Authors: LUX Collaboration, D. S. Akerib, S. Alsum, H. M. Araújo, X. Bai | Summary: We present the results from combining machine learning with the profile likelihood fit procedure, using data from the Large Underground Xenon (LUX) dark matter experiment. This approach demonstrates reduction in computation time […]


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BASS XXX: Distribution Functions of DR2 Eddington-ratios, Black Hole Masses, and X-ray Luminosities

Kavli Affiliate: Claudio Ricci | First 5 Authors: Tonima Tasnim Ananna, Anna K. Weigel, Benny Trakhtenbrot, Michael J. Koss, C. Megan Urry | Summary: We determine the low-redshift X-ray luminosity function (XLF), active black hole mass function (BHMF), and Eddington-ratio distribution function (ERDF) for both unobscured (Type 1) and obscured (Type 2) active galactic nuclei […]


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Probabilistic Mass Mapping with Neural Score Estimation

Kavli Affiliate: Jia Liu | First 5 Authors: Benjamin Remy, Francois Lanusse, Niall Jeffrey, Jia Liu, Jean-Luc Starck | Summary: Weak lensing mass-mapping is a useful tool to access the full distribution of dark matter on the sky, but because of intrinsic galaxy ellipticies and finite fields/missing data, the recovery of dark matter maps constitutes […]


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Systematic biases in determining dust attenuation curves through galaxy SED fitting

Kavli Affiliate: Yingjie Peng | First 5 Authors: Jianbo Qin, Xian Zhong Zheng, Min Fang, Zhizheng Pan, Stijn Wuyts | Summary: While the slope of the dust attenuation curve ($delta$) is found to correlate with effective dust attenuation ($A_V$) as obtained through spectral energy distribution (SED) fitting, it remains unknown how the fitting degeneracies shape […]


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Systematic analysis reveals key microRNAs as diagnostic and prognostic factors in progressive stages of lung cancer

Kavli Affiliate: Ke Wang | First 5 Authors: Dietrich Kong, , , , | Summary: MicroRNAs play an indispensable role in numerous biological processes ranging from organismic development to tumor progression.In oncology,these microRNAs constitute a fundamental regulation role in the pathology of cancer that provides the basis for probing into the influences on clinical features […]


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ALMaQUEST — VII: Star Formation Scaling Relations of Green Valley Galaxies

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Lihwai Lin, Sara L. Ellison, Hsi-An Pan, Mallory Thorp, Po-Chieh Yu | Summary: We utilize the ALMA-MaNGA QUEnch and STar formation (ALMaQUEST) survey to investigate the kpc-scale scaling relations, presented as the resolved star forming main sequence (rSFMS: $Sigma_{rm SFR}$ vs. $Sigma_{*}$), the resolved Schmidt-Kennicutt relation (rSK: […]


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