A5057435082- Galaxies: Formation, Evolution, Phenomena
- Cellular transport and secretion
- Cosmology and Gravitation Theories
- Microtubule and mitosis dynamics
- Astronomy and Astrophysical Research
- Statistical and numerical algorithms
- Dark Matter and Cosmic Phenomena
- Neurogenesis and neuroplasticity mechanisms
- Advanced Vision and Imaging
- Calcium signaling and nucleotide metabolism
- Lipid Membrane Structure and Behavior
- Spacecraft Design and Technology
- Image Processing Techniques and Applications
- Photoreceptor and optogenetics research
- Leadership, Behavior, and Decision-Making Studies
- Stellar, planetary, and galactic studies
- Meningioma and schwannoma management
- Impact of Light on Environment and Health
- Gamma-ray bursts and supernovae
- Glioma Diagnosis and Treatment
- Pulsars and Gravitational Waves Research
- Astrophysical Phenomena and Observations
- Neuroscience and Neuropharmacology Research
- Advanced Fluorescence Microscopy Techniques
- Brain Metastases and Treatment
Kavli Institute for Particle Astrophysics and Cosmology
2021-2022
Stanford University
2021-2022
University of Maryland, College Park
2021
National Institutes of Health
2015-2020
Eunice Kennedy Shriver National Institute of Child Health and Human Development
2016-2020
Significance Lysosomes are found in all neuronal domains, including the soma, axon, and dendrites. How neurons transported these however, remains poorly understood. In present study, we show that a protein ensemble comprising BORC, Arl8, SKIP, kinesin-1 specifically drives lysosome transport into axon not We also this mechanism of axonal is essential for maintenance growth-cone dynamics turnover autophagosomes distal axon. These findings imply lysosomes dendrites occurs by different...
The prognosis of elderly patients with glioblastoma (GBM) is universally poor. Currently, few studies have examined postoperative outcomes and the effects various modern therapies such as bevacizumab on survival in this patient population. In study, authors evaluated factors overall a cohort newly diagnosed GBM.A retrospective review was performed (≥ 65 years old) GBM treated between 2004 2010. Various characteristics were univariate multivariate stepwise models to examine their complication...
Highlights•We define a neuronal region named the pre-axonal exclusion zone (PAEZ)•Somatodendritic vesicles are excluded from axon at PAEZ•Coupling to an axonal kinesin overcomes vesicle PAEZ•Polarized sorting PAEZ depends on differential binding microtubule motorsSummaryPolarized of newly synthesized proteins somatodendritic and domains neurons occurs by selective incorporation into distinct populations vesicular transport carriers. An unresolved issue is how themselves sorted their...
BORC is a multisubunit complex previously shown to promote coupling of mammalian lysosomes and C. elegans synaptic vesicle (SV) precursors (SVPs) kinesins for anterograde transport these organelles along microtubule tracks. We attempted meld observations into unified model axonal in neurons by testing two alternative hypotheses: (1) that SV lysosomal proteins are co-transported within single type "lysosome-related vesicle" (2) SVPs distinct organelles, but both depend on transport. Analyses...
We study the connection of matter density and its tracers from PDF perspective. One aspect this is conditional expectation value $\langle \delta_{\mathrm{tracer}}|\delta_m\rangle$ when averaging both tracer over some scale. present a new way to incorporate Lagrangian bias expansion into standard frameworks for modelling fluctuations counts-in-cells statistics. Using N-body simulations mock galaxy catalogs we confirm accuracy compare it more commonly used Eulerian parametrization. For halos...
Abstract We present DELIGHT, or Deep Learning Identification of Galaxy Hosts Transients, a new algorithm designed to automatically and in real time identify the host galaxies extragalactic transients. The proposed receives as input compact, multiresolution images centered at position transient candidate outputs two-dimensional offset vectors that connect with center its predicted host. consists set same number pixels, but progressively larger pixel sizes fields view. A sample 16,791 visually...
A promising channel for producing binary black hole mergers is the Lidov-Kozai orbital resonance in hierarchical triple systems. While this mechanism has been studied isolation, distribution of such time and across star-forming environments not well characterized. In work, we explore Lidov-Kozai-induced open clusters, combining semi-analytic Monte Carlo methods to calculate merger rates delay times eight different population models. We predict a rate density...
The joint probability distribution of matter overdensity and galaxy counts in cells is a powerful probe cosmology, the extent to which variance at fixed density deviates from Poisson shot noise not fully understood. lack informed bounds on this stochasticity currently limiting factor constraining cosmology with galaxy-matter PDF. We investigate conditional present halo occupation (HOD)-based approach for obtaining plausible ranges parameters. To high-dimensional space possible connections,...
While Bayesian inference techniques are standard in cosmological analyses, it is common to interpret resulting parameter constraints with a frequentist intuition. This intuition can fail, e.g. when marginalizing high-dimensional spaces onto subsets of parameters, because what has come be known as projection effects or prior volume effects. We present the method Informed Total-Error-Minimizing (ITEM) priors address this. An ITEM distribution on set nuisance ones describing astrophysical...
The joint probability distribution of matter overdensity and galaxy counts in cells is a powerful probe cosmology, the extent to which variance at fixed density deviates from Poisson shot noise not fully understood. lack informed bounds on this stochasticity currently limiting factor constraining cosmology with galaxy–matter function (PDF). We investigate conditional along lines sight density, we present halo occupation (HOD)-based approach for obtaining plausible ranges parameters. To...
While Bayesian inference techniques are standard in cosmological analyses, it is common to interpret resulting parameter constraints with a frequentist intuition. This intuition can fail, for example, when marginalizing high-dimensional spaces onto subsets of parameters, because what has come be known as projection effects or prior volume effects. We present the method informed total-error-minimizing (ITEM) priors address this problem. An ITEM distribution on set nuisance such those...
We present DELIGHT, or Deep Learning Identification of Galaxy Hosts Transients, a new algorithm designed to automatically and in real-time identify the host galaxies extragalactic transients. The proposed receives as input compact, multi-resolution images centered at position transient candidate outputs two-dimensional offset vectors that connect with center its predicted host. consists set same number pixels, but progressively larger pixel sizes fields view. A sample \nSample visually...