Allosteric Disordering of eIF2B Regulates the Integrated Stress Response

Kavli Affiliate: Peter Walter | Authors: Udit Dalwadi, Advait Subramanian, Aniliese Deal, Julia Conrad, Meera Venkatesh, Morgane Boone, Pascal Egea, Lingjie He, Nimit Jain, John D Lee, Yuwei Liu, Lucas Reineke, Kazuki Saito, Nathaniel Talledge, Hannah Toutkoushian, Maxence Le Vasseur, Francesca Zappa, Raoul de Groot, Diego Acosta-Alvear, Christopher Arthur, Jodi Nunnari, Mauro Costa-Mattioli, James Crawford, […]


Continue.. Allosteric Disordering of eIF2B Regulates the Integrated Stress Response

Polarimeter to Unify the Corona and Heliosphere (PUNCH)

Kavli Affiliate: Heather Kelly| First 5 Authors: Craig DeForest, Craig DeForest, , , | Summary:The Polarimeter to Unify the Corona and Heliosphere (PUNCH) mission is a NASA Small Explorer to determine the cross-scale processes that unify the solar corona and heliosphere. PUNCH has two science objectives: (1) understand how coronal structures become the ambient solar […]


Continue.. Polarimeter to Unify the Corona and Heliosphere (PUNCH)

Shedding Light on Dark Matter at the LHC with Machine Learning

Kavli Affiliate: Carlos Wagner | Summary:We investigate a WIMP dark matter (DM) candidate in the form of a singlino-dominated lightest supersymmetric particle (LSP) within the $Z_3$-symmetric Next-to-Minimal Supersymmetric Standard Model (NMSSM). This framework gives rise to regions of parameter space where DM is obtained via co-annihilation with nearby higgsino-like electroweakinos and DM direct detection~signals are […]


Continue.. Shedding Light on Dark Matter at the LHC with Machine Learning

Shedding Light on Dark Matter at the LHC with Machine Learning

Kavli Affiliate: Carlos Wagner | Summary:We investigate a WIMP dark matter (DM) candidate in the form of a singlino-dominated lightest supersymmetric particle (LSP) within the $Z_3$-symmetric Next-to-Minimal Supersymmetric Standard Model. This framework gives rise to regions of parameter space where DM is obtained via co-annihilation with nearby higgsino-like electroweakinos and DM direct detection~signals are suppressed, […]


Continue.. Shedding Light on Dark Matter at the LHC with Machine Learning

Shedding Light on Dark Matter at the LHC with Machine Learning

Kavli Affiliate: Carlos E. M. Wagner | First 5 Authors: Ernesto Arganda, Ernesto Arganda, , , | Summary: We investigate a WIMP dark matter (DM) candidate in the form of a singlino-dominated lightest supersymmetric particle (LSP) within the $Z_3$-symmetric Next-to-Minimal Supersymmetric Standard Model. This framework gives rise to regions of parameter space where DM is […]


Continue.. Shedding Light on Dark Matter at the LHC with Machine Learning

A zero-dead-time strontium lattice clock with a stability at $10^-19$ level

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiao-Yong Liu, Xiao-Yong Liu, , , | Summary: Optical atomic clocks play a crucial role in fundamental physics, relativistic geodesy, and the future redefinition of the SI second. Standard operation relies on cyclic interrogation sequences, which alternate between atomic interrogation and dead time used for state preparation […]


Continue.. A zero-dead-time strontium lattice clock with a stability at $10^-19$ level

LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models

Kavli Affiliate: Long Zhang | First 5 Authors: Hongyao Tu, Hongyao Tu, , , | Summary: The goal of open relation extraction (OpenRE) is to develop an RE model that can generalize to new relations not encountered during training. Existing studies primarily formulate OpenRE as a clustering task. They first cluster all test instances based […]


Continue.. LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models

V659 Cen: System Parameters Updated

Kavli Affiliate: Moritz Guenther | Summary:V659 Cen is a classical Cepheid which is part of a multiple system. Previous observations have shown that a hot companion dominates an ultraviolet spectrum and a cooler main sequence star dominates an XMM-Newton spectrum. The Hubble Space Telescope (HST) Space Telescope Imaging Spectrograph (STIS) spectra discussed here spatially resolve […]


Continue.. V659 Cen: System Parameters Updated

MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope

Kavli Affiliate: Hu Zhan | First 5 Authors: Zhen-Ya Zheng, Zhen-Ya Zheng, , , | Summary: The Multi-Channel Imager (MCI) is a powerful near-ultraviolet (NUV) and visible imager onboard the Chinese Space Station Survey Telescope (CSST). The MCI provides three imaging channels, which are the NUV channel, the Optical-blue channel and the Optical-red channel, with […]


Continue.. MCI: Multi-Channel Imager on the Chinese Space Station Survey Telescope

The superconducting grid-states qubit

Kavli Affiliate: Irfan Siddiqi | Summary:Decoherence errors arising from noisy environments remain a central obstacle to progress in quantum computation and information processing. Quantum error correction (QEC) based on the Gottesman-Kitaev-Preskill (GKP) protocol offers a powerful strategy to overcome this challenge, with successful demonstrations in trapped ions, superconducting circuits, and photonics. Beyond active QEC, a […]


Continue.. The superconducting grid-states qubit