E. Patrick Donahue
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View article: Lysine demethylase 5D promotes CHEK1 inhibitor sensitivity through p38-mediated cyclooxygenase-2 expression in castration-resistant prostate cancer cells
Lysine demethylase 5D promotes CHEK1 inhibitor sensitivity through p38-mediated cyclooxygenase-2 expression in castration-resistant prostate cancer cells Open
CHEK1 (CHK1) is a key regulator of the G2/M checkpoint and DNA damage response. Although CHK1 inhibitors (CHK1is) show promise in multiple clinical trials, their further advancement is hampered by the lack of reliable predictive biomarkers…
View article: Exercise training adaptations in liver glycogen and glycerolipids require hepatic AMP-activated protein kinase in mice
Exercise training adaptations in liver glycogen and glycerolipids require hepatic AMP-activated protein kinase in mice Open
This study shows that the energy sensor and transducer, AMP-activated protein kinase (AMPK), is necessary for an exercise training-induced: 1) increase in liver glycogen that is necessary for accelerated glycogenolysis during exercise, 2) …
View article: Integration of metabolic flux with hepatic glucagon signaling and gene expression profiles in the conscious dog
Integration of metabolic flux with hepatic glucagon signaling and gene expression profiles in the conscious dog Open
Glucagon rapidly and profoundly simulates hepatic glucose production (HGP), but for reasons which are unclear, this effect normally wanes after a few hours, despite sustained plasma glucagon levels. This study characterized the time course…
View article: Exercise training adaptations in liver glycogen and glycerolipids require hepatic AMP-activated protein kinase in mice
Exercise training adaptations in liver glycogen and glycerolipids require hepatic AMP-activated protein kinase in mice Open
Regular exercise elicits adaptations in glucose and lipid metabolism that allow the body to meet energy demands of subsequent exercise bouts more effectively and mitigate metabolic diseases including fatty liver. Energy discharged during t…
View article: SmartChoices: Augmenting Software with Learned Implementations
SmartChoices: Augmenting Software with Learned Implementations Open
In many software systems, heuristics are used to make decisions - such as cache eviction, task scheduling, and information presentation - that have a significant impact on overall system behavior. While machine learning may outperform thes…
View article: Uncertainty-refined image segmentation under domain shift
Uncertainty-refined image segmentation under domain shift Open
A method for digital image segmentation is provided. The method comprises training a neural network for image segmentation with a labeled training dataset from a first domain, wherein a subset of nodes in the neural net are dropped out dur…
View article: Automatic detection of defects in high reliability as-built parts using X-ray CT.
Automatic detection of defects in high reliability as-built parts using X-ray CT. Open
View article: Optimization and Prediction of Spectral Response of Metasurfaces Using Artificial Intelligence.
Optimization and Prediction of Spectral Response of Metasurfaces Using Artificial Intelligence. Open
or an extensive number of finite element method (FEM) simulations. These approaches, however, are computationally expensive and time consuming. As such, in this work, we present a novel methodology for determining the mechanical compressio…
View article: 19751 Identifying Barriers to Diabetes Technology in Low-Income, Type 1 Patients
19751 Identifying Barriers to Diabetes Technology in Low-Income, Type 1 Patients Open
IMPACT: This research will aid clinical and policy solutions on lessening the vast health disparities and overall access issues for low-income, type 1 diabetes patients. OBJECTIVES/GOALS: Identify key barriers to accessing continuous gluco…
View article: Identifying defects in CT scans without labelled data.
Identifying defects in CT scans without labelled data. Open
View article: Optimization and Prediction of Spectral Response of Metasurfaces Using Artificial Intelligence
Optimization and Prediction of Spectral Response of Metasurfaces Using Artificial Intelligence Open
Hot-electron generation has been a topic of intense research for decades for numerous applications ranging from photodetection and photochemistry to biosensing. Recently, the technique of hot-electron generation using non-radiative decay o…
View article: Deep Convolutional Neural Networks as a Rapid Screening Tool for Complex Additively Manufactured Structures.
Deep Convolutional Neural Networks as a Rapid Screening Tool for Complex Additively Manufactured Structures. Open
images. Using the tiled nature of engineered lattices, the relatively small data set (43 to 48 lattices) can be augmented by systematically subdividing the original image into many smaller sub-images. Furthermore, during testing of the CNN…
View article: Automatic detection of defects in high reliability as-built parts using x-ray CT
Automatic detection of defects in high reliability as-built parts using x-ray CT Open
Automatic detection of defects in as-built parts is a challenging task due to the large number of potential manufacturing flaws that can occur. X-Ray computed tomography (CT) can produce high-quality images of the parts in a non-destructiv…
View article: Deep learning for shock physics.
Deep learning for shock physics. Open
View article: Segmentation Certainty through Uncertainty: Uncertainty-Refined BinaryVolumetric Segmentation under Multifactor Domain Shift.
Segmentation Certainty through Uncertainty: Uncertainty-Refined BinaryVolumetric Segmentation under Multifactor Domain Shift. Open
View article: Deep Convolutional Neural Networks as a Rapid Screening Tool for Complex Additively Manufactured Structures
Deep Convolutional Neural Networks as a Rapid Screening Tool for Complex Additively Manufactured Structures Open
View article: Near-Zero Power Mechanical Shock-Resistant Inertial Wakeup System with Scaled Inputs
Near-Zero Power Mechanical Shock-Resistant Inertial Wakeup System with Scaled Inputs Open
This paper reports on a near-zero power inertial wakeup sensor system supporting digital weighting of inputs and with protection against false positives due to mechanical shocks. This improves upon existing work by combining the selectivit…
View article: Machine Learning for CT Segmentation.
Machine Learning for CT Segmentation. Open
View article: Plate Impact and Penetration at the Ballistic Launch Tube: Experiments
Plate Impact and Penetration at the Ballistic Launch Tube: Experiments Open
This report details the data collected from plate impact experiments performed at the Ballistics Launch Tube (BLT) in May 2019. The experiments consisted of 62 shots of copper projectiles (cylindrical and ogive) impacting 1/4", 1/2", and 3…
View article: Front Matter: Volume 11139
Front Matter: Volume 11139 Open
View article: Investigating Machine Learning Based X-Ray Computed Tomography Reconstruction Methods to Enhance the Accuracy of CT Scans
Investigating Machine Learning Based X-Ray Computed Tomography Reconstruction Methods to Enhance the Accuracy of CT Scans Open
Development of new materials and predictive capabilities of component performance hinges on the ability to accurately digitize "as-built" geometries. X-ray computed tomography (CT) offers a non-destructive method of capturing these details…
View article: Deep learning for automated defect detection in high-reliability electronic parts
Deep learning for automated defect detection in high-reliability electronic parts Open
Recent advances in deep learning have shown promising results for anomaly detection that can be applied to the problem of defect detection in electronic parts. In this work, we train a deep learning model with Generative Adversarial Networ…
View article: Aerobic exercise training improves hepatic and muscle insulin sensitivity, but reduces splanchnic glucose uptake in obese humans with type 2 diabetes
Aerobic exercise training improves hepatic and muscle insulin sensitivity, but reduces splanchnic glucose uptake in obese humans with type 2 diabetes Open
Background Aerobic exercise training is known to have beneficial effects on whole-body glucose metabolism in people with type 2 diabetes (T2D). The responses of the liver to such training are less well understood. The purpose of this study…
View article: SasquatchDeepCloud Image Classification Training Application.
SasquatchDeepCloud Image Classification Training Application. Open
View article: Recurrent Neural Networks 2.
Recurrent Neural Networks 2. Open
View article: Glycine N-methyltransferase deletion in mice diverts carbon flux from gluconeogenesis to pathways that utilize excess methionine cycle intermediates
Glycine N-methyltransferase deletion in mice diverts carbon flux from gluconeogenesis to pathways that utilize excess methionine cycle intermediates Open
Glycine N-methyltransferase (GNMT) is the most abundant liver methyltransferase regulating the availability of the biological methyl donor, S-adenosylmethionine (SAM). Moreover, GNMT has been identified to be down-regulated i…
View article: AUTHOR INDEX
AUTHOR INDEX Open
View article: Loss of hepatic AMP-activated protein kinase impedes the rate of glycogenolysis but not gluconeogenic fluxes in exercising mice
Loss of hepatic AMP-activated protein kinase impedes the rate of glycogenolysis but not gluconeogenic fluxes in exercising mice Open
Pathologies including diabetes and conditions such as exercise place an unusual demand on liver energy metabolism, and this demand induces a state of energy discharge. Hepatic AMP-activated protein kinase (AMPK) has been proposed to inhibi…
View article: Correction: Liver AMP-Activated Protein Kinase Is Unnecessary for Gluconeogenesis but Protects Energy State during Nutrient Deprivation
Correction: Liver AMP-Activated Protein Kinase Is Unnecessary for Gluconeogenesis but Protects Energy State during Nutrient Deprivation Open
[This corrects the article DOI: 10.1371/journal.pone.0170382.].
View article: Glucagon’s effect on liver protein metabolism in vivo
Glucagon’s effect on liver protein metabolism in vivo Open
The postprandial state is characterized by a storage of nutrients in the liver, muscle, and adipose tissue for later utilization. In the case of a protein-rich meal, amino acids (AA) stimulate glucagon secretion by the α-cell. The aim of t…