No evidence of AGN features in the nuclei of Arp 220 from JWST/NIRSpec IFS

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Michele Perna, Santiago Arribas, Isabella Lamperti, Miguel Pereira-Santaella, Lorenzo Ulivi | Summary: Arp 220 is the nearest ULIRG; it shows evidence of 100 pc-scale molecular outflows likely connected with galaxy-scale outflows traced by ionised and neutral gas. The two highly obscured nuclei of Arp 220 are the […]


Continue.. No evidence of AGN features in the nuclei of Arp 220 from JWST/NIRSpec IFS

Continuous Bump Attractor Networks Require Explicit Error Coding for Gain Recalibration

Kavli Affiliate: James Knierim | Authors: Gorkem Secer, James J. Knierim and Noah J. Cowan | Summary: Representations of continuous variables are crucial to create internal models of the external world. A prevailing model of how the brain maintains these representations is given by continuous bump attractor networks (CBANs) in a broad range of brain […]


Continue.. Continuous Bump Attractor Networks Require Explicit Error Coding for Gain Recalibration

Dynamic Information Dissemination Model Incorporating Non-Adjacent Node Interaction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xinyu Li, Jinyang Huang, Xiang Zhang, Peng Zhao, Meng Wang | Summary: Describing the dynamics of information dissemination within social networks poses a formidable challenge. Despite multiple endeavors aimed at addressing this issue, only a limited number of studies have effectively replicated and forecasted the evolving course […]


Continue.. Dynamic Information Dissemination Model Incorporating Non-Adjacent Node Interaction

A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianyu Pan, Xiang Zhang, Weining Shen, Ting Ye, | Summary: Gene therapies aim to address the root causes of diseases, particularly those stemming from rare genetic defects that can be life-threatening or severely debilitating. While there has been notable progress in the development of gene therapies in […]


Continue.. A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial

A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianyu Pan, Xiang Zhang, Weining Shen, Ting Ye, | Summary: Gene therapies aim to address the root causes of diseases, particularly those stemming from rare genetic defects that can be life-threatening or severely debilitating. While there has been notable progress in the development of gene therapies in […]


Continue.. A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial

Extended Spreading of Saline Droplets upon Impact on a Frosty Surface

Kavli Affiliate: Feng Wang | First 5 Authors: Hao Zeng, Feng Wang, Chao Sun, , | Summary: Understanding the solidification dynamics of impacted water droplets is fundamental and crucial for applications, especially with the presence of frost and salt. Here, we experimentally investigate the spreading and freezing dynamics of saline droplets upon impact on a […]


Continue.. Extended Spreading of Saline Droplets upon Impact on a Frosty Surface

Metric Ion Classification (MIC): A deep learning tool for assigning ions and waters in cryo-EM and x-ray crystallography structures

Kavli Affiliate: Michael Keiser | Authors: Laura Shub, Wenjin Liu, Georgios Skiniotis, Michael J. Keiser and Michael J. Robertson | Summary: At sufficiently high resolution, x-ray crystallography and cryogenic electron microscopy are capable of resolving small spherical map features corresponding to either water or ions. Correct classification of these sites provides crucial insight for understanding […]


Continue.. Metric Ion Classification (MIC): A deep learning tool for assigning ions and waters in cryo-EM and x-ray crystallography structures

Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning

Kavli Affiliate: Cheng Peng | First 5 Authors: Mengxian Lyu, Cheng Peng, Xiaohan Li, Patrick Balian, Jiang Bian | Summary: Automatic text summarization (ATS) is an emerging technology to assist clinicians in providing continuous and coordinated care. This study presents an approach to summarize doctor-patient dialogues using generative large language models (LLMs). We developed prompt-tuning […]


Continue.. Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning

Chemical Diversity on Small Scales — Abundance Analysis of the Tucana V Ultra-Faint Dwarf Galaxy

Kavli Affiliate: Alexander P. Ji | First 5 Authors: Terese T. Hansen, Joshua D. Simon, Ting S. Li, Domani Sharkey, Alexander P. Ji | Summary: The growing number of Milky Way satellites detected in recent years has introduced a new focus for stellar abundance analysis. Abundances of stars in satellites have been used to probe […]


Continue.. Chemical Diversity on Small Scales — Abundance Analysis of the Tucana V Ultra-Faint Dwarf Galaxy

Chronic Ethanol Exposure Produces Persistent Impairment in Cognitive Flexibility and Decision Signals in the Striatum

Kavli Affiliate: Daeyeol Lee and Patricia Janak | Authors: Yifeng Cheng, Robin Magnard, Angela Langdon, Daeyeol Lee and Patricia H. Janak | Summary: Value-based decision-making relies on the striatum, where neural plasticity can be altered by chronic ethanol (EtOH) exposure, but the effects of such plasticity on striatal neural dynamics during decision-making remain unclear. This […]


Continue.. Chronic Ethanol Exposure Produces Persistent Impairment in Cognitive Flexibility and Decision Signals in the Striatum