A5020643247- Micro and Nano Robotics
- Microtubule and mitosis dynamics
- Topic Modeling
- Genetic and Kidney Cyst Diseases
- Biocrusts and Microbial Ecology
- Mitochondrial Function and Pathology
- Machine Learning and Data Classification
- Photosynthetic Processes and Mechanisms
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Advanced Electron Microscopy Techniques and Applications
- Cellular Mechanics and Interactions
- Domain Adaptation and Few-Shot Learning
- Protist diversity and phylogeny
- 3D Printing in Biomedical Research
- Data Quality and Management
- Quantum, superfluid, helium dynamics
- Theology and Philosophy of Evil
- Explainable Artificial Intelligence (XAI)
- Karl Barth and Christian Theology
- Coal Combustion and Slurry Processing
- Algal biology and biofuel production
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hydraulic flow and structures
- Analytical Chemistry and Sensors
Icahn School of Medicine at Mount Sinai
2022-2024
Boston University
2017-2023
Johns Hopkins University
2022
University of Kansas Medical Center
2016-2019
Brandenburg University of Technology Cottbus-Senftenberg
2017
University of Chicago
1987
Western Research Company, Inc.
1983
The unicellular green alga Chlamydomonas reinhardtii is a biflagellated cell with two actin genes: one encoding conventional (IDA5) and the other divergent novel actin-like protein (NAP1). Here, we probe how redundancy contributes to flagellar assembly. Disrupting single allows complete However, when disrupting both actins using latrunculin B (LatB) treatment on nap1 mutant background, find that are necessary for growth from newly synthesized limiting proteins. Under total disruption,...
The green alga
The regulated assembly of multiple filamentous actin (F-actin) networks from an monomer pool is important for a variety cellular processes. Chlamydomonas reinhardtii unicellular green alga expressing conventional and divergent that emerging system investigating the complex regulation polymerization. One network contains exclusively F-actin in fertilization tubule, mating structure at apical cell surface gametes. In addition to two genes, expresses profilin (PRF1) four formin genes (FOR1-4),...
Abstract The green alga Chlamydomonas reinhardtii is a leading model system to study photosynthesis, cilia, and the generation of biological products. cytoskeleton plays important roles in all these cellular processes, but date, filamentous actin network within has remained elusive. By optimizing labeling conditions, we can now visualize distinct linear filaments at posterior nucleus both live fixed vegetative cells. Using situ cryo-electron tomography, confirmed this localization by...
Patients with inflammatory bowel disease (IBD) are exposed to chronic systemic inflammation and at risk for secondary malignancies. Here we review the literature on of myeloid neoplasms (MN) in IBD present profiles patients a single institution who later developed MN, comparing them those literature. No characteristic was found associate MN severity, including previously-identified association between MNs thiopurine exposure. Of somatic mutations identified out cohort's
Despite the widespread adoption of multi-task training in deep learning, little is understood about how learning (MTL) affects generalization. Prior work has conjectured that negative effects MTL are due to optimization challenges arise during training, and many methods have been proposed improve performance. However, recent shown these fail consistently In this work, we seek our understanding failures by empirically studying impacts tasks, whether impact can explain on We show results a...
Hyperammonemic encephalopathy (HE) is a rare and life-threatening complication of multiple myeloma, with underlying mechanisms that are not fully understood. In contrast to previously reported cases, most which have been associated IgG or IgA isotypes, we describe patient HE as the presenting symptom non-producer myeloma (NPMM).A 60-year-old man developed lethargy progressed into coma. He was found an elevated ammonia level, despite normal hepatic function. diagnosed secondary NPMM,...
ABSTRACT Flagella of the unicellular green alga Chlamydomonas reinhardtii are nearly identical to cilia mammalian cells and provide an excellent model study ciliogenesis. These biflagellated have two actin genes: one encoding a conventional (IDA5) other divergent novel actin-like protein (NAP1). Previously, we described role for in regulation flagella-building intraflagellar transport machinery. Here, probe how redundancy contributes this process using nap1 mutant strain. Disruption single...
Traditional multi-task learning architectures learn a single model across multiple tasks through shared encoder followed by task-specific decoders. Learning these models often requires specialized training algorithms that address task-conflict in the parameter updates, which otherwise can lead to negative transfer. A new type of within NLP homogenizes as and language decoder, does surprisingly well range diverse tasks. Does this architecture suffer from task-conflicts require algorithms? We...
Size ranges are a widespread type of product family design, which used to combine high variety and cost reductions. For the purposes motivation remuneration, these reductions should be shared in fair way between employees. The nature cooperative is super-additive - fact impedes assignment. this reason, purpose paper present an approach for calculating fairly allocating reduction hierarchically structured firm. process designing producing size modelled as cost-reduction game within...
A phasor domain short circuit study for a battery energy storage system was performed per ANSI C37.010-2016. Results showed high asymmetrical currents. Two time-domain models were also built— simplified and detailed ——to compare the results with study. The of both agree to large degree model on conservative side. However, differ dramatically from model. in this paper show need update C37.010-2016 account inverter based-generation general.
Traditional multi-task learning architectures train a single model across multiple tasks through shared encoder followed by task-specific decoders. Learning these models often requires specialized training algorithms that address task-conflict in the parameter updates, which otherwise can lead to negative transfer. A new type of within NLP homogenizes as and language decoder, does surprisingly well range diverse tasks. Does this architecture suffer from task-conflicts require algorithms? We...
ABSTRACT The regulated assembly of multiple filamentous actin (F-actin) networks from an monomer pool is important for a variety cellular processes. Chlamydomonas reinhardtii unicellular green alga expressing conventional and divergent that emerging system investigating the complex regulation polymerization. One network contains exclusively F-actin in fertilization tubule, mating structure at apical cell surface gametes. In addition to two genes, expresses profilin (PRF1) four formin genes...
The moving-boat Acoustic Doppler Current Profiler (ADCP) gauging method is extensively used to measure the discharge of rivers and canals. Inter-comparison ADCP measurements are necessary not only validate instruments their deployment, but also study measurement uncertainty. Uncertainty estimates provided by propagation methods cannot be validated for in situ conditions because complexity data workflow uncertainty references To solve this issue, a complementary approach repeated measures...
Modern neural networks do not always produce well-calibrated predictions, even when trained with a proper scoring function such as cross-entropy. In classification settings, simple methods isotonic regression or temperature scaling may be used in conjunction held-out dataset to calibrate model outputs. However, extending these structured prediction is straightforward effective; furthermore, calibration set available. this paper, we study ensemble distillation general framework for producing...
Named-entities are inherently multilingual, and annotations in any given language may be limited. This motivates us to consider polyglot named-entity recognition (NER), where one model is trained using annotated data drawn from more than language. However, a straightforward implementation of this simple idea does not always work practice: naive training NER models multiple languages consistently underperforms on monolingual alone, despite having access data. The starting point paper solution...
Using excimer lasers and ultrasensitive detectors it is now possible to remotely detect parts per million of many the toxic insecticides currently in use field today.