Institution
Texas A&M University
Recent research
- Health & MedicineOpen access
RhoA Y42C drives cell plasticity and PD-1-mediated immune evasion of diffuse gastric cancer
Diffuse gastric cancer (DGC) is an aggressive gastric cancer subtype with a poor prognosis. The RHOA Y42C mutation is recurrent in DGC, but its independent oncogenic role is unclear. Next-Generation Sequencing of 431 DGC cases revealed that most RHOA mutations occurred without CD...
- Materials & EnergyOpen access
NH2 Measurements during the Pyrolysis and Oxidation of Ammonia/Propane Mixtures in a Shock Tube
Abstract Ammonia/propane pyrolysis and oxidation mixtures were studied using NH2 laser spectroscopy to obtain NH2 time histories in a shock tube. An NH3 diagnostic based on a quantum cascade laser was used to verify the initial ammonia concentrations, while a 597.375-nm laser dia...
- Health & MedicineOpen access
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder affecting more than 55 million people worldwide and is characterized by cognitive decline, amyloid-beta (Aβ) plaques, and neurofibrillary tangles. Although transgenic rodent models have advanced understanding of...
- Materials & EnergyOpen access
Interfacial Polytype Engineering of Polymer-Derived SiC via Compositionally Complex MXene Templating
Controlling polytype selection in polymer-derived silicon carbide (SiC) remains challenging since stacking sequences are determined locally at the nucleation front. Here, we investigate an interface-based strategy for influencing SiC polytype evolution by introducing compositiona...
- BiologyOpen access
The Effect of Broiler-Targeted Lighting Programs on Productivity, Health, and Welfare
Background: Poultry are highly sensitive to lighting photoperiod, intensity, and color, yet little research has combined these components into a single broiler-targeted lighting program. This study evaluated an integrated dynamic LED lighting program and a further red-light dawn/...
- Climate & EnvironmentOpen access
Towards continental-scale SWOT-based modeling of reservoir operations
The advent of reservoir models has enabled the monitoring and prediction of reservoir operations (inflow, storage, and release); however, the in situ operation data used for model parameterization is spatially scarce. In this study, we evaluate reservoir monitoring capabilities b...
ABSTRACT Guar ( Cyamopsis tetragonoloba L. Taub.), a resilient legume valued for its galactomannan‐rich seeds used in industrial applications, exhibits limited productivity due to limited genetic diversity and insufficient breeding efforts. This study aimed to dissect the genetic...
- Engineering & TechnologyOpen access
Flexural-wave shielding in plates through scattering by a curved resonator arrangement
This study considers a thin elastic plate excited by a harmonic point force and coupled to locally resonant mass–spring attachments distributed along two opposing parabolic trajectories. The resulting resonator arrangement redirects part of the incident flexural-wave energy throu...
- BiologyOpen access
Abstract Although light quality influences tomato phenolic biosynthesis, its impact on the bioaccessibility and probiotic growth remains unclear. Thus, bioaccessibility, phenolic profiles of in vitro digested tomatoes, and their effects on Lactobacillus plantarum growth were asse...
- Physics & SpaceOpen access
Geothermal energy is an important renewable energy resource, and geothermal doublet systems are widely used for its sustainable exploitation. Accurate simulation of coupled fluid-flow and heat-transfer processes in geothermal doublet systems provides an important basis for assess...
- Materials & Energy
Molecular Polarity in Conjugated Microporous Polymers for Efficient CO2 Photoreduction
Abstract Donor–acceptor (D–A) conjugated microporous polymers (CMPs) are a promising class of metal-free photocatalysts for CO2 reduction. However, conventional D–A CMP design strategies that prioritize the screening of isolated D and A units based solely on energy-level offsets...
- Engineering & TechnologyOpen access
A machine learning based investigation of void distribution effects in ductile failure
The overarching goal of this work is to develop a predictive model of fracture resistance in a context of epistemic uncertainty due to analytically intractable mechanisms in metallic materials. The uncertainty associated with the spatial distribution of defects, such as voids, an...
- Society & EconomicsOpen access
Abstract Amid the rapid growth of the gig economy, gig workers can be particularly vulnerable to customer sexual harassment (CSH), facing unique challenges due to the “one-off” nature of their interactions with customers, insufficient protections, and the absence of bystanders wh...
- BiologyOpen access
Effect of flavonoid structures on Maillard reaction product formation in cookies
Abstract Flavonoid structure plays a crucial role in the inhibition of Maillard reaction product formation during baking and might impact sensory properties of final products. The goal of this study was to assess the effect of flavonoids common in whole grains on Maillard reactio...
- BiologyOpen access
Peptide macrocyclization is a powerful strategy to enhance the stability, rigidity, binding affinity, and cellular permeability of therapeutic candidates. Peptide bicycles provide superior conformational constraint but remain difficult to generate in phage-displayed libraries bec...
- Engineering & TechnologyOpen access
Abstract This study investigates the potential of high-speed nanoindentation in collaboration with data analytics and phase volume fractions to achieve micromechanical characterization of heterogeneous rocks. Although micromechanical characterization can be performed using mechan...
- Society & Economics
. 2026;116(10):1479-1483. https://doi.org/10.2105/AJPH.2026.308553).
- AI & ComputingOpen access
ReFun: Reconstructing Function Boundaries in EVM Bytecode
Recovering the structure of a Solidity smart contract from its deployed bytecode is a prerequisite for various downstream analyses, such as control-flow graph construction, decompilation, and clone detection. A central step in this task is identifying private functions. However,...
- AI & ComputingOpen access
Bonsai: Efficient and Optimal Automatic Tensor Rematerialization for Memory-Constrained DNN Training
GPU memory is increasingly the primary bottleneck in scaling deep neural network (DNN) training, where the activation tensors footprint of a model may exceed the memory capacity. Tensor recomputation is a powerful technique that trades additional computation for reduced peak memo...
- AI & ComputingOpen access
We study the problem of extracting a quantum complexity resource from a mixed Gaussian state of the multimode light. We present the first complete, certificate-checked solution to this problem in a genuinely coupled sector. We carry this out for the two-mode case, the smallest ca...