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How Stress Affects HU Student Study Habits
This project is meant to give people an in-depth analysis of the average HU student's study habits.(Class Project)
3rd Annual HU Research Symposium Program 2021
3rd Annual HU Research Symposium program and schedule of presenters. Presentations were held April 21st, 2021 virtually on the Teams platform.
The Hu Syndrome: At the Intersection of Cancer and Autoimmunity
Ilana J. DeLuca
Jan 01, 0001
Paraneoplastic neurologic diseases (PNDs) arise when systemic malignancies express proteins normally restricted to neurons. Abnormal expression of a neuronal protein by tumor cells in the periphery results in an autoimmune...
Published by: Rockefeller University
Development of HU Cloud-based Spark Applications for Streaming Data Analytics
Sangwhan Cha
Jan 01, 0001
Nowadays, streaming data overflows from various sources and technologies such as Internet of Things (IoT), making conventional data analytics methods unsuitable to manage the latency of data processing relative to the growing...
A Study into the Ownership and Care of Animals among the HU Community
Amir Khan, Akeisha Belgrave
Jan 01, 0001
My project involves understanding the animal care routines of persons in the HU Community. (Class Project)
Higher oxygen saturation with hydroxyurea in paediatric sickle cell disease.
INTRODUCTION: Sickle cell disease (SCD) is one of the most common inherited diseases worldwide. It is associated with lifelong morbidity and reduced life expectancy. Hydroxyurea (HU) has been shown to reduce the frequency and...
Published by:
Hierarchical Hybrid Neural Networks With Multi-Head Attention for Document Classification
Document classification is a research topic aiming to predict the overall text sentiment polarity with the advent of deep neural networks. Various deep learning algorithms have been employed in the current studies to improve...
Analysis of Environmental Governance Expense Prediction Reform With the Background of Artificial Intelligence
Xiaohui Wu
Sep 01, 2022
In this paper, Artificial Intelligence assisted rule-based confidence metric (AI-CRBM) framework has been introduced for analyzing environmental governance expense prediction reform. A metric method is to assess a level of...
Productivity and Efficiency at Bank Holding Companies in the U.S.

This paper investigates the productivity and efficiency of large bank holding companies (BHCs) in the United States over the period 2004–2013, by estimating a translog stochastic distance frontier (SDF) model with...
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Enhancing Financial Investment Decision-Making With Deep Learning Model
Xiaohui Wang, Baoli Lu
Jan 01, 2024
This paper introduces the ISSA-BiLSTM-TPA model to improve financial investment decision-making. Traditional deep learning models face limitations in handling the complexity and uncertainty of financial markets. Our approach...
A varying-coefficient panel data model with fixed effects
In this paper, we propose a semiparametric varying-coefficient categorical panel data model in which covariates (variables affecting the coefficients) are purely categorical. This model has two features: first, fixed effects are...
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The Pharmacological Effects and Pharmacokinetics of Active Compounds of Artemisia capillaris.
Artemisia capillaris Thunb. (A.capillaris, Yin-Chen in Chinese) is a traditional medicinal herb with a wide spectrum of pharmacological properties ranging from effects against liver dysfunction to treatments of severe cirrhosis...
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Relationship between Carotid Computed Tomography Dual-Energy and Brain Leukoaraiosis
Background The purpose of this study was to assess if there is a correlation between the carotid computed tomography (CT) Hounsfield unit (HU)-based plaque attenuation values measured using dual-energy CT (DECT) scanner and...
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Variable Selection for a Categorical Varying-Coefficient Model with Identifications for Determinants of Body Mass Index
Obesity has become one of the major public health issues during the last three decades. A considerable number of determinants have been proposed for body mass index (BMI) by a large range of studies from multiple disciplines. In...
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Productivity and Efficiency at Bank Holding Companies in the U.S.

This paper investigates the productivity and efficiency of large bank holding companies (BHCs) in the United States over the period 2004–2013, by estimating a translog stochastic distance frontier (SDF) model with...
Published by:
Research on Rumor Detection Based on a Graph Attention Network With Temporal Features
The higher-order and temporal characteristics of tweet sequences are often ignored in the field of rumor detection. In this paper, a new rumor detection method (T-BiGAT) is proposed to capture the temporal features between...
Isolating the net effect of multiple government interventions with an extended Susceptible-Exposed-Infectious-Recovered (SEIR) framework
OBJECTIVE: By using a data-driven statistical approach, we isolated the net effect of multiple government interventions that were simultaneously implemented during the second wave of COVID-19 pandemic in China. DESIGN, DATA...
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One-step methodology for the direct covalent capture of GPCRs from complex matrices onto solid surfaces based on the bioorthogonal reaction between haloalkane dehalogenase and chloroalkanes.
Protein immobilization techniques play an important role in the development of assays for disease diagnosis and drug discovery. However, many of these approaches are not applicable to transmembrane proteins. G protein-coupled...
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