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The Design and Implementation of AI Partner in Supporting Foreign Language Teaching and Assessment - Project Summary
We plan to focus on AI training to improve students\u27 performance on the Oral Proficiency Interview (OPI). We will train the AI on the structure of the OPI using ACTFL proficiency guidelines and design prompts that simulate a natural, contextual target language environment.The existing CFLingo platform supports conversations between Chinese as a Foreign Language (CFL) students and OpenAIs ChatGPT LLM. The platform facilitates a variety of exercises, including debates, roleplays, sentence creation, essay outlining, and essay drafting. We are currently in the process of augmenting the scripts supporting our existing CFLingo platform to use audio as both an input and output as well as text. The existing platform uses OpenAIs GPT-4-Omni LLM, which only uses text for input and output. However there is now an available model, GPT-4-Omni-Audio-Preview that can use audio in addition to text for input and output using the same "chat completions" API end point as the standard 4 Omni model. However, we need to slightly restructure the messages being sent and received by our platform as the model requires additional parameters for audio settings and also returns audio as part of its response
Measuring Research Impact in the College of Health using ChatGPT 4o - Project Summary
To better understand and quantify the impact of our research efforts, we propose a generative AI use case project aimed at creating a comprehensive prompt to measure research impact. This project will explore various dimensions of research impact, ensuring a holistic approach to the evaluation.The primary objective of this project is to develop a robust generative AI prompt that can effectively draw out and/or provide a measurement of the research impact within the College of Health. This prompt will serve as a tool for Research Administration staff to help faculty researchers assess the contributions of their work in terms of academic influence, societal benefit, and policy implications, among other measurements of Research Impact. Inspired by the recent work at Elsevier, this project will explore current literature to identify key metrics and indicators that reflect the multi-faceted nature of research impact
Study Companion - Project Summary
Combines Ai, active study techniques to help students get better grades in less time.Study companion will be a vertical llm agent built upon chat gpt to be the most comprehensive study tool. A study tool that tell you when to study in your day and for how long, what content to study to be on schedule to meet your goals and how to study it with the most effective techniques, in order to get better grades in less time
Three Essays on Labor and Health Economics
In the first chapter, I explore the intra-relationship bargaining dynamics over fertility. I examine the impact of young men\u27s relative earnings to women on teenage birth rates. Utilizing the 2000s fracking boom as an instrument for wage differences between young men (14-34) and teenage women (14-18), I find that a rise in men\u27s bargaining power leads to an increase in teenage birth rates. In exploring how the enhanced bargaining power of men increases fertility, my collective bargaining model posits that the observed positive link arises when young men have a more pronounced preference for child-rearing over private consumption than do teenage women. In the second chapter, we examine whether women exposed to China\u27s one-child policy (OCP) change their fertility decisions when they migrate to a country without fertility restrictions. Using American Community Survey (2010-2020) data, we compare the childbearing decisions of Chinese-born women with varying exposure to the OCP before migrating to the US. We compare them both to each other and to a control group of other female Asian immigrants. We find that Chinese women aged 35-45 exposed to the OCP for a longer duration have significantly fewer children than women who were not exposed to the OCP. These findings are robust to several specification checks. In the third chapter, I explore the impact of Medical Marijuana Legalization (MML) on traffic fatalities near college and university campuses in the US. Utilizing data from the Fatality Analysis Reporting System (2001-2019) and employing a Negative Binomial two-way fixed-effect model as introduced by Wooldridge (2021, 2023), I find that MML does not influence traffic accidents near college campuses. Furthermore, drug test and BAC test results from individuals who have undergone testing provide no evidence to suggest that MML is associated with changes in drug-, cannabis-, and alcohol-related fatal accidents.</p
Warehouses, Truck Traffic, and Particulate Pollution in the Lehigh Valley: A Preliminary Study Design and Assessment by Hannah Perrelli
Trucks, integral to the operation of warehousing distribution centers, emit substantial fine particulate matter (PM2.5) during start-up, operation, and idling phases (Bluffstone et al.2006, Kinney et al.2000, Lei et al.2022). Over the last two decades, the air quality in the Lehigh Valley (aka the Valley) has been in and out of compliance with federal PM2.5 standards (EPA Greenbook). The region\u27s surge in warehousing activity, coupled with the EPA\u27s recent decision to tighten the annual allowable PM2.5 level to 9 μg/m3 (EPA 2024), has once again threatened the region\u27s ability to meet the National Ambient Air Quality Standards (NAAQS). In response, Northampton and Lehigh counties launched an air quality monitoring project, formally titled the Lehigh Valley Breathes Initiative. This Initiative is deploying a network of Purple Air monitors across the Valley to provide easily accessible data on the distribution of PM2.5 pollution, so that its relationship to truck traffic and the region\u27s expanding warehousing activities can be assessed. This thesis was developed to support and guide the Lehigh Valley Breathes Initiative by creating a framework for the study design, developing a corrected air quality dataset, and by conducting initial analyses to evaluate the robustness of the design. Hypothesis testing for this thesis revealed that hourly average PM2.5 concentrations at sites that are associated with heavily trafficked truck routes are significantly greater than the concentrations at other sites throughout the Valley that are removed from truck traffic and warehouse activity. These results underscore the value of the Lehigh Valley Breathes efforts to deploy a spatially dense network of low-cost air quality monitors.</p
Meso-Scale Models for Virus-Cell Adhesion
Many pandemic historical diseases spread around the world have been caused by viruses and this would be a continuous issue for humans due to the emergence of new stains and the mutation from the existing ones. The infection of virus usually starts with its binding with human receptors, understanding this process therefore become essential for design new therapeutical methods. There are many featured questions need to be addressed, such as 1) how the length or flexibility of receptors will affect the binding strength? 2) How can virus infect human cells with the existence of glycocalyx, a brush like structure that is shown in almost all types of cells? 3) identify new receptors for existing viruses and measure their binding affinity. In this article, we will first give an introduction of the virus history and its structure in chapter1. In chapter 2, we will introduce some computational models (Continuum, coarse-grained and all-atoms model) and experimental measurement skills (Atomic Force Microscope). Next, we will give detailed examples in chapters 3,4 and 5 to illustrate how we use the computational and experimental approaches to solve the featured questions. In chapter 6, we will discuss the limitations of the current works and any potential studies we can address in the future.</p
Outcomes of renin‐angiotensin inhibitors following transcatheter aortic valve implantation
Surface science insight note
X‐ray photoelectron spectroscopy (XPS) provides quantitative information from photoemission peaks and shapes observed within the background due to the inelastic scattering of photoelectrons. To quantify the signal, both photoemission peaks and background in spectra must be adjusted for instrumental transmission variations that are a consequence of changes in efficiency when recording electrons with different kinetic energy. While it is generally assumed that correcting spectroscopic data for transmission is a necessary part of quantification by XPS, there are consequences for the quantification of spectra measured using an instrument for which transmission has significant curvature. In this Insight , the implications of curvature in transmission characteristics are discussed and a method based on XPS microscopy is proposed that ensures the transmission response of an instrument is free from significant curvature. An example of an instrument for which a flat transmission response is presented is achieved through collecting spectra using lens modes designed to measure stigmatic images
TOI-1994b: A Low-mass Eccentric Brown Dwarf Transiting A Subgiant Star
Abstract
We present the discovery of TOI-1994b, a low-mass brown dwarf transiting a hot subgiant star on a moderately eccentric orbit. TOI-1994 has an effective temperature of
7700
‚àí
410
+
720
K, V magnitude of 10.51 mag and log(g) of
3.982
‚àí
0.065
+
0.067
. The brown dwarf has a mass of
22.1
‚àí
2.5
+
2.6
M
J, a period of 4.034 days, an eccentricity of
0.341
‚àí
0.059
+
0.054
, and a radius of
1.220
‚àí
0.071
+
0.082
R
J. TOI-1994b is more eccentric than other transiting brown dwarfs with similar masses and periods. The population of low-mass brown dwarfs may have properties similar to planetary systems if they were formed in the same way, but the short orbital period and high eccentricity of TOI-1994b may contrast this theory. An evolved host provides a valuable opportunity to understand the influence stellar evolution has on the substellar companion’s fundamental properties. With precise age, mass, and radius, the global analysis and characterization of TOI-1994b augments the small number of transiting brown dwarfs and allows the testing of substellar evolution models.</jats:p
Future (2020-2099) Carbon and Water Dynamics of Lehigh Valley Based on Land Use and Land Cover Change
Readme for data: Felzer and Andrade, Future (2020-2099) Carbon and Water Dynamics of Lehigh Valley Based on Land Use and Land Cover Change data_archive.tar.gz: contains the input files necessary to run the TEM-Hydro model, including all the climate files, ozone, Ndep, LULCC, soil texture, and elevation. Subdirectors contain all the *.ecd files (literature-based calibration parameters) and *.dat files (calibration-based parameters). code.tar.gz: contains the C++ TEM-Hydro code xmlfiles.tar.gz: contains the batch files for each experiment LV_processed_output.zip: contains processed output files for the Lehigh Valley experiments, including the summary statistics files (Sum*) and *.txt files generated by included utility C++ programs Beth_processed_output.zip: contains the *.txt files for the Bethlehem experiments map_files.zip: contains the gridded output used to generate the maps Excel_files.zip: final output data used to generate figures in the paper</ul