Jiang Gui
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Comparative Effectiveness of Long Acting Injectable Versus Oral Naltrexone in Patients with Co-Occurring Posttraumatic Stress Disorder and Alcohol Use Disorder Open
Our analyses suggest that LAI naltrexone provides no benefits in improving PTSD or AUD outcomes compared to its oral counterpart among patients with comorbid PTSD and AUD. In fact, our results suggest that oral naltrexone may provide an in…
View article: Inspired oxygen level and tension modulate the murine skin sparing FLASH effect in electron ultra-high dose rate irradiations
Inspired oxygen level and tension modulate the murine skin sparing FLASH effect in electron ultra-high dose rate irradiations Open
Objective This study evaluated the hypothesis that baseline tissue oxygen (pO 2 ) would modulate FLASH damage sparing in murine skin, comparing MeV electron ultra-high dose rate (UHDR) versus conventional dose rate (CDR) irradiations. Appr…
View article: Integration of elemental imaging and spatial transcriptomic profiling for proof-of-concept metals-based pathway analysis of colon tumor microenvironment
Integration of elemental imaging and spatial transcriptomic profiling for proof-of-concept metals-based pathway analysis of colon tumor microenvironment Open
The complex interplay between metal abundance, transport mechanisms, cell distribution, and tumor progression-related biological pathways (e.g. metabolism, collagen remodeling) remains poorly understood. Traditionally, genes and metals hav…
View article: Variation in Verification: Understanding Verification Dynamics in Large Language Models
Variation in Verification: Understanding Verification Dynamics in Large Language Models Open
Recent advances have shown that scaling test-time computation enables large language models (LLMs) to solve increasingly complex problems across diverse domains. One effective paradigm for test-time scaling (TTS) involves LLM generators pr…
RCS control method for phased array based on scattering mode cancellation network Open
An RCS control method for phased array based on a scattering mode cancellation network is proposed, which achieves precise scattering regulation while preserving radiation performance. Analytical relationships among the load resistance, ad…
View article: Blood Pressure and Late Pregnancy Circulating miRNAs in the MADRES Study
Blood Pressure and Late Pregnancy Circulating miRNAs in the MADRES Study Open
Background Circulating extracellular and vesicle particle (EVP) miRNAs have been associated with cardiovascular risk and adverse birth outcomes. Hypertensive disorders of pregnancy (HDP) increase risk for adverse birth outcomes and future …
View article: Maternal diet quality in pregnancy and human milk extracellular vesicle and particle microRNA
Maternal diet quality in pregnancy and human milk extracellular vesicle and particle microRNA Open
Extracellular vesicle and particle microRNAs (EVP miRNA) in milk have the capacity to facilitate maternal-infant communication in the postpartum period and are hypothesized to play important roles in child development. Maternal diet qualit…
View article: Optimizing Protocols for MicroRNA Profiling of Infant and Toddler Stool
Optimizing Protocols for MicroRNA Profiling of Infant and Toddler Stool Open
Background MicroRNAs (miRNAs) are increasingly being investigated as potential biomarkers for child development and disease. Although a growing number of studies are utilizing infant and toddler stool for transcriptomic analyses, no studie…
Prenatal per- and polyfluoroalkyl substances and blood pressure trajectories in the New Hampshire Birth Cohort Study Open
Per- and polyfluoroalkyl substances (PFAS) have been associated with increased risk of hypertensive disorders of pregnancy, but whether PFAS influence blood pressure (BP) trajectories among normotensive pregnant women is unknown. We examin…
Preprocessing of natural language process variables using a data-driven method improves the association with suicide risk in a large veterans affairs population Open
AMC-based categorization substantially enhanced the suicide predictive capacity of NLP variables extracted from clinical text. Transforming skewed NLP data with the AMC method holds promise for improving risk prediction models.
A carnitine transporter at the blood–brain barrier modulates sleep via glial lipid metabolism in <i>Drosophila</i> Open
To regulate brain function, peripheral compounds must traverse the blood–brain barrier (BBB), an interface between the brain and the circulatory system. To determine whether specific transport mechanisms are relevant for sleep, we conducte…
Transcriptome-wide association study identifies genes associated with bladder cancer risk Open
Genome-wide association studies (GWAS) have detected several susceptibility variants for urinary bladder cancer, but how gene regulation affects disease development remains unclear. To extend GWAS findings, we conducted a transcriptome-wid…
View article: Integration of Elemental Imaging and Spatial Transcriptomic Profiling for Proof-of-Concept Metals-Based Pathway Analysis of Colon Tumor Microenvironment
Integration of Elemental Imaging and Spatial Transcriptomic Profiling for Proof-of-Concept Metals-Based Pathway Analysis of Colon Tumor Microenvironment Open
The complex interplay between metal abundance, transport mechanisms, cell distribution, and tumor progression-related biological pathways (e.g., metabolism, collagen remodeling) remains poorly understood. Traditionally, genes and metals ha…
Investigating the Differential Impact of Psychosocial Factors by Patient Characteristics and Demographics on Veteran Suicide Risk Through Machine Learning Extraction of Cross-Modal Interactions Open
Accurate prediction of suicide risk is crucial for identifying patients with elevated risk burden, helping ensure these patients receive targeted care. The US Department of Veteran Affairs' suicide prediction model primarily leverages stru…
Residual Kolmogorov-Arnold Network for Enhanced Deep Learning Open
Despite their immense success, deep convolutional neural networks (CNNs) can be difficult to optimize and costly to train due to hundreds of layers within the network depth. Conventional convolutional operations are fundamentally limited b…
View article: Maternal glucose levels and late pregnancy circulating extracellular vesicle and particle miRNAs in the MADRES pregnancy cohort
Maternal glucose levels and late pregnancy circulating extracellular vesicle and particle miRNAs in the MADRES pregnancy cohort Open
Maternal hyperglycemia during pregnancy adversely affects maternal and child outcomes. While mechanisms are not fully understood, maternal circulating miRNAs may play a role. We examined whether continuous glucose levels and hyperglycemia …
View article: Genome-Wide and Transcriptome-Wide Association Studies on Northern New England and Ohio Amyotrophic Lateral Sclerosis Cohorts
Genome-Wide and Transcriptome-Wide Association Studies on Northern New England and Ohio Amyotrophic Lateral Sclerosis Cohorts Open
Our results support the need for future evaluation to clarify the role of these potential genetic risk factors for ALS and to understand genetic susceptibility to environmental risk factors.
The effect of second language acquisition on central auditory processing abilities and its interaction with HIV Open
Introduction Second language learning is a multifaceted task that benefits across numerous neurocognitive domains including central auditory processing. Existing cross-sectional and longitudinal data show that performance on tests of centr…
Identifying stationary microbial interaction networks based on irregularly spaced longitudinal 16S rRNA gene sequencing data Open
Introduction The microbial interactions within the human microbiome are complex, and few methods are available to identify these interactions within a longitudinal microbial abundance framework. Existing methods typically impose restrictiv…
Machine learning for predicting cognitive deficits using auditory and demographic factors Open
Importance Predicting neurocognitive deficits using complex auditory assessments could change how cognitive dysfunction is identified, and monitored over time. Detecting cognitive impairment in people living with HIV (PLWH) is important fo…
A quantitative method to compare regional tumor contrast between prone and supine breast MRI Open
Purpose For surgical guidance applications, supine breast MRI tumor contrast should be non-inferior to prone MRI, currently considered the standard-of-care. However, comparing image contrast quantitatively between different MRI sequences a…
Central auditory test performance predicts future neurocognitive function in children living with and without HIV Open
Tests of the brain’s ability to process complex sounds (central auditory tests) correlate with overall measures of neurocognitive performance. In the low- middle-income countries where resources to conduct detailed cognitive testing is lim…
A murine model to evaluate immunotherapy effectiveness for human Fanconi anemia-mutated acute myeloid leukemia Open
Fanconi anemia (FA)-mutated acute myeloid leukemia (AML) is a secondary AML with very poor prognosis and limited therapeutic options due to increased sensitivity to DNA-damaging agents. PD-1 immune checkpoint inhibitors upregulate T-cell k…