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Multimodal Learning: Generating Precise Chest X-Ray Report On Thorax Abnormality, Gaurab Subedi Jan 2023

Multimodal Learning: Generating Precise Chest X-Ray Report On Thorax Abnormality, Gaurab Subedi

Dissertations and Theses

Chronic respiratory diseases, ranking as the third leading cause of death worldwide according to the 2017 World Health Organization (WHO) report, affect a staggering 544.9 million individuals. Compounding this public health challenge is the fact that over 80% of health systems grapple with shortages in their radiology departments, highlighting an urgent need for accessible and efficient diagnostic solutions. While various image classification models for analyzing thorax abnormalities have been developed, relying solely on one type of dataset (image data, for example) for thorax abnormality analysis is insufficient. Integrating texts with image data could provide more accuracy as well as analysis. …


Induction And Mentoring Programs: Pathways To New Teacher Retention And Success, Valerie Kim Seales Jan 2023

Induction And Mentoring Programs: Pathways To New Teacher Retention And Success, Valerie Kim Seales

Dissertations and Theses

The pipeline of college students seeking teaching positions is shrinking. The teacher shortage makes finding and retaining new teachers even more challenging. The cost of replacing existing teachers who leave is tremendous, and new teachers leave the profession at an alarming rate. This dissertation explored the lived experiences of new teachers who recently completed their induction and mentoring program. The study addresses three primary research questions: (1) What are the perceived benefits and deficits of the induction program (2) What (if any) additional support do new teachers need to improve their work experience in our schools? Using a phenomenological research …


When Do Data Collection And Use Become A Matter Of Concern? A Cross-Cultural Comparison Of U.S. And Dutch Privacy Attitudes, Jessica Vitak, Yuting Liao, Anouk Mols, Daniel Trottier, Michael Zimmer, Priya C. Kumar, Jason Pridmore Jan 2023

When Do Data Collection And Use Become A Matter Of Concern? A Cross-Cultural Comparison Of U.S. And Dutch Privacy Attitudes, Jessica Vitak, Yuting Liao, Anouk Mols, Daniel Trottier, Michael Zimmer, Priya C. Kumar, Jason Pridmore

Computer Science Faculty Research and Publications

Around the world, people increasingly generate data through their everyday activities. Much of this happens unwittingly through sensors, cameras, and other surveillance tools on roads, in cities, and at the workplace. However, how individuals and governments think about privacy varies significantly around the world. In this article, we explore differences between people’s attitudes toward privacy and data collection practices in the United States and the Netherlands, two countries with very different regulatory approaches to governing consumer privacy. Through a factorial vignette survey deployed in the two countries, we identify specific contextual factors associated with concerns regarding how personal data are …


An Analytic And Systemic View Of The Digital Transformation Of Healthcare, Xuejuan J. Zhang Jan 2023

An Analytic And Systemic View Of The Digital Transformation Of Healthcare, Xuejuan J. Zhang

Full-Text Theses & Dissertations

Industry 4.0 represents a digital revolution that is driven by technologies that blur the lines between the physical and digital worlds. Industry 4.0, the latest industrial revolution, is poised to have a profound impact on all aspects of society. In order to understand how the healthcare industry is being transformed by the convergence of the physical and digital realms, a systems perspective is taken in this study. Two research questions are addressed regarding the opportunities and interventions that can be provided by both analytical and systems conceptions of digital transformation. I use a systemic literature review approach to address the …


Soft System Methodology Applied To Stakeholder Engagement In Social Services Nonprofit Organizations, Robyn Chin Jan 2023

Soft System Methodology Applied To Stakeholder Engagement In Social Services Nonprofit Organizations, Robyn Chin

Full-Text Theses & Dissertations

This dissertation explored the challenges of a Community Development Financial Institution (CDFI), a non-profit social service organization, and the value of employing a systems thinking approach to problem formulation and problem-solving to address its challenges. Soft Systems Methodology (SSM), a systems-informed framework, encourages collective learning and fosters an appreciation for differing perspectives about problem formulation amongst stakeholders instead of rushing to solve predefined issues. One common challenge from current research is that due to reliance on sparse profits and grants earmarked for programmatic endeavors, there is insufficient funding for organizational development. The literature also identified a deficit in stakeholder engagement …


$\Ast$-Semiclean Rings, Shefali Gupta, Dinesh Udar Jan 2023

$\Ast$-Semiclean Rings, Shefali Gupta, Dinesh Udar

Turkish Journal of Mathematics

A ring $R$ is called semiclean if every element of $R$ can be expressed as sum of a periodic element and a unit. In this paper, we introduce a new class of ring, which is the $\ast$-version of the semiclean ring, i.e. the $\ast$-semiclean ring. A $\ast$-ring is $\ast$-semiclean if each element is a sum of a $\ast$-periodic element and a unit. The term $\ast$-semiclean is a stronger notion than semiclean. In this paper, many properties of $\ast$-semiclean rings are discussed. It is proved that if $p \in P(R)$ such that $pRp$ and $(1-p)R(1-p)$ are $\ast$-semiclean rings, then $R$ is …


The Role Of Low-Dose Ct In Diagnosing Lung Cancer, Hailey Colabelli Jan 2023

The Role Of Low-Dose Ct In Diagnosing Lung Cancer, Hailey Colabelli

Student Research Poster Presentations 2023

The Role of Low Dose CT in Diagnosing Lung Cancer

Student Researcher: Hailey Colabelli

Faculty Advisor: Dr. Elaine Halesey, Ed.D., R.T(R)(QM)

Abstract

Lung cancer is the most diagnosed malignancy worldwide, with an estimated 2,093,876 new cases and 1,761,007 deaths in 2018. It has a poor prognosis with a 5-year survival rate of 16%. When detected in asymptomatic patients, most cases can be treated with an overall survival rate of 92%. Low-dose CT lung screening is a routine annual scan for those with a high risk of developing lung cancer. It can help doctors detect cancer at an earlier stage, making …


Using Drawing As A Tool For Investigating Undergraduate Conceptions Of Earth Scientists, Peggy Mcneal, Deepika Menon, Deef Allah Al Shorman, Paulina Gajewska-Schaefer Jan 2023

Using Drawing As A Tool For Investigating Undergraduate Conceptions Of Earth Scientists, Peggy Mcneal, Deepika Menon, Deef Allah Al Shorman, Paulina Gajewska-Schaefer

Department of Teaching, Learning, and Teacher Education: Faculty Publications

The purpose of this study was to investigate undergraduate students’ conceptions of Earth scientists, using drawing as a tool, during introductory Earth science courses. We explored two research questions: 1) What student conceptions are evident in undergraduate students’ drawings of Earth scientists? and 2) How do undergraduate students’ conceptions of Earth scientists—as evidenced in their drawings—change as a result of completing an introductory Earth science course? We collected pre- and post-drawings of Earth scientists from 94 students in six introductory Earth science courses at two universities and coded the 188 drawings across 39 indicators. We used Chi Square Goodness of …


Chapter 19- "I See Research Questions Everywhere": Developing Metacognitive Skills In An English-Major Research Methods Course, Joyce Kinkead, John Draeger, Jill K. Singer Jan 2023

Chapter 19- "I See Research Questions Everywhere": Developing Metacognitive Skills In An English-Major Research Methods Course, Joyce Kinkead, John Draeger, Jill K. Singer

Habits of Mind

How many ways can sticky notes—branded as Post-it Notes and introduced in 1980 by 3M—be used by college students? According to the undergraduate who investigated this topic, 31. In the report she produced as a result of a study conducted in English 3470: Approaches to Research in English Studies, the researcher found that “many stationery products have died with advancements in technology, but the Post-it Note has thrived and continues to play a role in productivity in the workplace, continuing at the top of the supply list” (Eralie, 2019). To come to this magic number of 31, Megan conducted a …


Supporting Multilingual Learners’ Reading Competence: A Multiple Case Study Of Teachers’ Instruction And Student Learning And Motivation, Melissa A. Gallagher, Jori S. Beck, Erin M. Ramirez, Ana Taboada Barber, Michelle M. Buehl Jan 2023

Supporting Multilingual Learners’ Reading Competence: A Multiple Case Study Of Teachers’ Instruction And Student Learning And Motivation, Melissa A. Gallagher, Jori S. Beck, Erin M. Ramirez, Ana Taboada Barber, Michelle M. Buehl

Education and Leadership Faculty Publications and Presentations

Supporting students’ reading competence (i.e., their comprehension and vocabulary) is complex, particularly when working with multilingual learners, and involves implementing instructional practices to support their behavioral engagement in reading as well as their reading motivation. The purpose of this mixed methods case study was to examine changes in multilingual learners’ reading comprehension, academic vocabulary, reading engagement, and reading motivation after participating in a 7-week intervention called United States History for Engaged Reading (USHER) and then examine qualitative data to explain why these changes may have occurred. We found changes in the reading comprehension of MLs across all four teachers’ classes, …


Improving Deep Neural Network Training With Knowledge Distillation, Dongdong Wang Jan 2023

Improving Deep Neural Network Training With Knowledge Distillation, Dongdong Wang

Electronic Theses and Dissertations, 2020-2023

Knowledge distillation, as a popular compression technique, has been widely used to reduce deep neural network (DNN) size for a variety of applications. However, in recent years, some research had found its potential for improving deep neural network performance. This dissertation focuses on further exploring its power to facilitate accurate and reliable DNN training. First, I explored data-efficient method for blackbox knowledge distillation where the specifics of the DNN for distillation is inaccessible. I integrated active learning and mixup to obtain significant distillation performance gain with limited data. This work reveals the competence of knowledge distillation to facilitate large foundation …


Methodologies For Evaluating Interaction Cues For Virtual Reality, Xinyu Hu Jan 2023

Methodologies For Evaluating Interaction Cues For Virtual Reality, Xinyu Hu

Electronic Theses and Dissertations, 2020-2023

Virtual reality (VR) games and educational systems commonly employ interaction cues to provide information on how to take appropriate actions at particular moments. Interaction cues can be employed for different purposes, such as informing the user to look, go, pick, and operate. Additionally, different types of interaction cues can directly affect usability and user experiences. In our early research, we conducted two ecologically valid empirical studies with a preexisting VR training application and evaluated the effects of delayed interaction cues, in addition to comparing the purposes of interaction cues for learning and retention. Our results indicated that immediate interaction cues …


Towards Optimization And Robustification Of Data-Driven Models, Ehsan Kazemi Foroushani Jan 2023

Towards Optimization And Robustification Of Data-Driven Models, Ehsan Kazemi Foroushani

Electronic Theses and Dissertations, 2020-2023

In the past two decades, data-driven models have experienced a renaissance, with notable success achieved through the use of models such as deep neural networks (DNNs) in various applications. However, complete reliance on intelligent machine learning systems is still a distant dream. Nevertheless, the initial success of data-driven approaches presents a promising path for building trustworthy data-oriented models. This thesis aims to take a few steps toward improving the performance of existing data-driven frameworks in both the training and testing phases. Specifically, we focus on several key questions: 1) How to efficiently design optimization methods for learning algorithms that can …


From Human Behavior To Machine Behavior, Zerong Xi Jan 2023

From Human Behavior To Machine Behavior, Zerong Xi

Electronic Theses and Dissertations, 2020-2023

A core pursuit of artificial intelligence is the comprehension of human behavior. Imbuing intelligent agents with a good human behavior model can help them understand how to behave intelligently and interactively in complex situations. Due to the increase in data availability and computational resources, the development of machine learning algorithms for duplicating human cognitive abilities has made rapid progress. To solve difficult scenarios, learning-based methods must search for solutions in a predefined but large space. Along with implementing a smart exploration strategy, the right representation for a task can help narrow the search process during learning. This dissertation tackles three …


Comparing Phosphorus Removal Efficiencies And Mechanisms Via Two Cost-Effective Specialty Adsorbents In A Cascade Upflow Filtration System, Sydney Kilgus-Vesely Jan 2023

Comparing Phosphorus Removal Efficiencies And Mechanisms Via Two Cost-Effective Specialty Adsorbents In A Cascade Upflow Filtration System, Sydney Kilgus-Vesely

Honors Undergraduate Theses

Finding solutions to treat water that contains phosphorus is an important effort due to the harmful impacts it presents to both human health and the environment. Phosphorus is considered a limiting factor in water oftentimes and therefore controls the growth of algal bloom in a water body. The increase of algal populations due to wastewater effluent, stormwater runoff, and agricultural discharge in Florida waters has a direct link to the event of harmful algal blooms such as red tide in coastal regions, eutrophication of waterbodies, and fish kills. Finding low cost, energy efficient, and low maintenance green sorption media (GSM) …


A Framework For The Automatic Identification Of Optimized Yield Surface Parameters, Kevin Hanekom Jan 2023

A Framework For The Automatic Identification Of Optimized Yield Surface Parameters, Kevin Hanekom

Honors Undergraduate Theses

Advanced engineering materials are designed to display tensile-compressive asymmetry (TCA) and anisotropy to provide unique attributes to critical components necessary in the hot section of turbines. The never-ending chase for higher efficiencies, and with them, higher temperature gradients, intrinsically leads to more and more of these complex materials, like single crystal turbine blades, embedded within the turbine environment. Mathematical models, known as yield criteria, allow engineers to visualize the mechanical behavior of these materials in various orientations under complex loading. Yield criteria are dependent on three key items in determination of their governing parameters: material test data, mathematical constraints, and …


Magnetic Anomaly Data Products Of The Central And Eastern United States, Dhananjay Ravat Jan 2023

Magnetic Anomaly Data Products Of The Central And Eastern United States, Dhananjay Ravat

Earth and Environmental Sciences Research Data

This data set contains Central and Eastern U.S. Magnetic Anomaly, DRTP, Tilt Derivative, and Analytic Signal Amplitude Products ultimately derived from Ravat, D., Finn, C., Hill, P., Kucks, R., Phillips, J., Blakely, R., Bouligand, C., Sabaka, T., Elshayat, A., Aref, A., and Elawadi, E., 2009, A preliminary, full spectrum, magnetic anomaly grid of the United States with improved long wavelengths for studying continental dynamics--A website for distribution of data: U.S. Geological Survey Open- File Report 2009–1258, 2 p.


Massachusetts Prevalence Of Opioid Use Disorder Estimation Revisited: Comparing A Bayesian Approach To Standard Capture-Recapture Methods, Jianing Wang, Nathan Doogan, Katherine L. Thompson, Dana Bernson, Daniel Feaster, Jennifer Villani, Redonna Chandler, Laura F. White, David Kline, Joshua A. Barocas Jan 2023

Massachusetts Prevalence Of Opioid Use Disorder Estimation Revisited: Comparing A Bayesian Approach To Standard Capture-Recapture Methods, Jianing Wang, Nathan Doogan, Katherine L. Thompson, Dana Bernson, Daniel Feaster, Jennifer Villani, Redonna Chandler, Laura F. White, David Kline, Joshua A. Barocas

Statistics Faculty Publications

Background: The National Survey on Drug Use and Health (NSDUH) estimated the prevalence of opioid use disorder (OUD) among the civilian, noninstitutionalized people aged 12 years or older in Massachusetts as 1.2% between 2015 and 2017. Accurate estimation of the prevalence of OUD is critical to the success of treatment and resource planning. Various indirect estimation approaches have been used but are subject to data availability and infrastructure-related issues.

Methods: We used 2015 data from the Massachusetts Public Health Data Warehouse (PHD) to compare the results of two approaches to estimating OUD prevalence in the Massachusetts population. First, we used …


Multimodal Learning: Generating Precise Chest X-Ray Report On Thorax Abnormality, Gaurab Subedi Jan 2023

Multimodal Learning: Generating Precise Chest X-Ray Report On Thorax Abnormality, Gaurab Subedi

Dissertations and Theses

Chronic respiratory diseases, ranking as the third leading cause of death worldwide according to the 2017 World Health Organization (WHO) report, affect a staggering 544.9 million individuals. Compounding this public health challenge is the fact that over 80% of health systems grapple with shortages in their radiology departments, highlighting an urgent need for accessible and efficient diagnostic solutions. While various image classification models for analyzing thorax abnormalities have been developed, relying solely on one type of dataset (image data, for example) for thorax abnormality analysis is insufficient. Integrating texts with image data could provide more accuracy as well as analysis. …


Vcu Job Shadowing, Austin Adam, Nora Bloch, Sue Kurgatt, Ezrah Medina, Erin Pacelli, Rebecca Segal, Stephanie Thulin Jan 2023

Vcu Job Shadowing, Austin Adam, Nora Bloch, Sue Kurgatt, Ezrah Medina, Erin Pacelli, Rebecca Segal, Stephanie Thulin

The Grace E. Harris Leadership Institute Publications

Job shadowing is an initiative aimed at bolstering students' career preparedness through an immersive exploration of the multifaceted landscape of career opportunities within higher education. By facilitating these experiential learning opportunities, this program endeavors to achieve a twofold objective. Firstly, it seeks to enhance the student experience at Virginia Commonwealth University (VCU) by cultivating meaningful interactions between students and VCU's typically non-student-facing staff and faculty members. Secondly, by facilitating direct engagement with our students, it is our aspiration that every member of the VCU community, regardless of their traditional roles, will have the opportunity to support our students' personal and …


Active Learning Methodologies In A High Stakes Graduate Nursing Program, Nina Mclain, Mary Jane Collins, Lawanda Baskin Jan 2023

Active Learning Methodologies In A High Stakes Graduate Nursing Program, Nina Mclain, Mary Jane Collins, Lawanda Baskin

International Journal for the Scholarship of Teaching & Learning

Active learning with student engagement has been demonstrated to improve knowledge retention and improve learning in graduate education. Nurse anesthesia education has traditionally been taught using lecture with slide presentations without considering student centered learning. Much attention has been given to active learning strategies to promote student engagement and content retention, yet little information exists regarding student preferences for in higher level graduate nursing courses. This mixed-methods study aimed to examine student learning preferences for seven different instructional methodologies; traditional lecture, a problem-based learning exercise, reading with workbook assignments, development of cognitive aids, game-based learning, practice questions, and a case …


Magnetotelluric Insights Into The Formation And Reactivation Of Trans-Crustal Shear Zones In Precambrian Basement Of The Eastern U.S. Midcontinent, Benjamin S. Murphy, Michael S. Delucia, Stephen Marshak, Dhananjay Ravat, Paul A. Bedrosian Jan 2023

Magnetotelluric Insights Into The Formation And Reactivation Of Trans-Crustal Shear Zones In Precambrian Basement Of The Eastern U.S. Midcontinent, Benjamin S. Murphy, Michael S. Delucia, Stephen Marshak, Dhananjay Ravat, Paul A. Bedrosian

Earth and Environmental Sciences Faculty Publications

Three-dimensional inversion of regional long-period magnetotelluric (MT) data re- veals the presence of two distinct sets of high-conductivity belts in the Precambrian basement of the eastern U.S. Midcontinent. One set, beneath Missouri, Illinois, Indiana, and western Ohio, is defined by northwest– southeast-oriented conductivity structures; the other set, beneath Kentucky, West Vir- ginia, western Virginia, and eastern Ohio, in- cludes structures that are generally oriented northeast–southwest. The northwest-trend- ing belts occur mainly in Paleoproterozoic crust, and we suggest that their high con- ductivity values are due to graphite precipi- tated within trans-crustal shear zones from intrusion-related CO2-rich fluids. Our MT inversion …


Terrestrial Ecosystem Transformations In Response To Rapid Climate Change During The Last Deglaciation Around Mono Lake, California, Usa, Adam J. Benfield, Sarah J. Ivory, Bailee Nicole Hodelka, Susan R. H. Zimmerman, Michael M. Mcglue Jan 2023

Terrestrial Ecosystem Transformations In Response To Rapid Climate Change During The Last Deglaciation Around Mono Lake, California, Usa, Adam J. Benfield, Sarah J. Ivory, Bailee Nicole Hodelka, Susan R. H. Zimmerman, Michael M. Mcglue

Earth and Environmental Sciences Faculty Publications

We examine major reorganizations of the terrestrial ecosystem around Mono Lake, California during the last deglacial period from 16,000–9,000 cal yr BP using pollen, microcharcoal, and coprophilous fungal spores (Sporormiella) from a deep-water sediment core. The pollen results record the assemblage, decline, and replacement of a mixed wooded community of Sierran and Great Basin taxa with Alkali Sink and Sagebrush Steppe biomes around Mono Lake. In particular, the enigmatic presence of Sequoiadendron-type pollen and its extirpation during the early Holocene hint at substantial biogeographic reorganizations on the Sierran-Great Basin ecotone during deglaciation. Rapid regional hydroclimate changes produced structural alterations in …


Itihas Vol. 23 Issue No. 1, Sastra Univ Jan 2023

Itihas Vol. 23 Issue No. 1, Sastra Univ

ITIHAS

NEWSLETTER FROM SASTRA DEEMED UNIVERSITY


Northeastern Illinois University, Academic Catalog 2023-2024, Northeastern Illinois University Jan 2023

Northeastern Illinois University, Academic Catalog 2023-2024, Northeastern Illinois University

Course Catalogs

No abstract provided.


Microtubule Polarity Flaws As A Treatable Driver Of Neurodegeneration, Bridie D. Eckel, Roy Cruz Jr., Erin M. Craig, Peter W. Baas Jan 2023

Microtubule Polarity Flaws As A Treatable Driver Of Neurodegeneration, Bridie D. Eckel, Roy Cruz Jr., Erin M. Craig, Peter W. Baas

All Faculty Scholarship for the College of the Sciences

Microtubule disruption is a common downstream mechanism leading to axonal degeneration in a number of neurological diseases. To date, most studies on this topic have focused on the loss of microtubule mass from the axon, as well as changes in the stability properties of the microtubules and/or their tubulin composition. Here we posit corruption of the normal pattern of microtubule polarity orientation as an underappreciated and yet treatable contributor to axonal degeneration. We include computational modeling to fortify the rigor of our considerations. Our simulations demonstrate that even a small deviation from the usual polarity pattern of axonal microtubules is …


The Role Of The Principal In Teacher Retention, Johnathan Bolek Jan 2023

The Role Of The Principal In Teacher Retention, Johnathan Bolek

All-Inclusive List of Electronic Theses and Dissertations

This is a qualitative study focused on investigating building leaders evaluations and the role they may play in teacher retention and recruitment. This qualitative study included analysis of interviews of evaluators of building level leaders and the findings from those interviews relative to teacher retention. 


Eocene To Oligocene Cooling And Ice Growth Based On The Geochemistry Of Interglacial Mudstones From The East Antarctic Continental Shelf, Jennifer J. Light, Sandra Passchier Jan 2023

Eocene To Oligocene Cooling And Ice Growth Based On The Geochemistry Of Interglacial Mudstones From The East Antarctic Continental Shelf, Jennifer J. Light, Sandra Passchier

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

The Eocene-Oligocene Transition at c. 34 million years ago (Ma) marked the global change from greenhouse to icehouse and the establishment of the East Antarctic Ice Sheet (EAIS). How the ice-sheet behaviour changed during interglacials across this climate transition is poorly understood. We analysed major, trace and rare earth elemental data of late Eocene interglacial mudstone from Prydz Bay at Ocean Drilling Program Site 1166 and early Oligocene interglacial mudstone from Integrated Ocean Drilling Program Site U1360 on the Wilkes Land continental shelf. Both sites have comparable glaciomarine depositional settings. Lithofacies and provenance at Site 1166 in Prydz Bay are …


Indigenous And Western Sciences In Carlos Hernandez's The Assimilated Cuban's Guide To Quantum Santeria, Joy Sanchez-Taylor Jan 2023

Indigenous And Western Sciences In Carlos Hernandez's The Assimilated Cuban's Guide To Quantum Santeria, Joy Sanchez-Taylor

Publications and Research

This chapter examines Carlos Hernandez’s The Assimilated Cuban’s Guide to Quantum Santeria as an example of how authors of alternative futurisms can draw on Indigenous knowledge to destabilize Eurowestern perceptions that Western science is more modern and rational than Indigenous knowledge. Joy Sanchez-Taylor argues that Hernandez combines references to Santería and quantum physics to demonstrate parallels between Indigenous knowledge and Eurowestern “rational” science. Ultimately, references in Quantum Santeria to ideas of spiritual healing and nonlinear time demonstrate how authors like Hernandez are working to restore Biskaabiiyang, or a return to self, within science fiction.


Modeling Monthly Actual Evapotranspiration: An Application Of Geographically Weighted Regression Technique In The Passaic River Basin, Felix Oteng Mensah, Clement Aga Alo Jan 2023

Modeling Monthly Actual Evapotranspiration: An Application Of Geographically Weighted Regression Technique In The Passaic River Basin, Felix Oteng Mensah, Clement Aga Alo

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Actual evapotranspiration (ET) is perhaps the most difficult quantity to directly measure among the major water balance components. Because of the high cost and labor constraints associated with the direct measurement of ET, empirical data-driven modeling has frequently been used to estimate ET. Beyond the widely used traditional type regression that has the effect of producing ‘global’ parameter estimates, assumed to be uniform throughout an area, we utilized a more localized spatially non-stationary technique - the geographically weighted regression (GWR) - to estimate mean monthly ET in the Passaic River Basin (PRB). We identified the key environmental controls of ET …