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Jwst/Nirspec Balmer-Line Measurements Of Star Formation And Dust Attenuation At Z ∼ 3–6, Alice E. Shapley, Ryan L. Sanders, Naveen Reddy, Michael W. Topping, Gabriel B. Brammer Jan 2023

Jwst/Nirspec Balmer-Line Measurements Of Star Formation And Dust Attenuation At Z ∼ 3–6, Alice E. Shapley, Ryan L. Sanders, Naveen Reddy, Michael W. Topping, Gabriel B. Brammer

Physics and Astronomy Faculty Publications

We present an analysis of the star formation rates (SFRs) and dust attenuation properties of star-forming galaxies at 2.7 ≤ z < 6.5 drawn from the Cosmic Evolution Early Release Science Survey. Our analysis is based on JWST/NIRSpec Micro-Shutter Assembly R ∼ 1000 spectroscopic observations covering approximately 1-5 μm. Our primary rest-frame optical spectroscopic measurements are Hα/Hβ Balmer decrements, which we use as an indicator of nebular dust attenuation. In turn, we use Balmer decrements to obtain dust-corrected Hα-based SFRs (i.e., SFR(Hα)). We construct the relationship between SFR(Hα) and stellar mass (M *) in three bins of redshift (2.7 ≤ z < 4.0, 4.0 ≤ z < 5.0, and 5.0 ≤ z < 6.5), which represents the first time the star-forming main sequence has been traced at these redshifts using direct spectroscopic measurements of Balmer emission as a proxy for SFR. In tracing the relationship between SFR(Hα) and M * back to such early times (z > 3), it is essential to use a conversion factor between Hα and SFR that accounts for the subsolar metallicity prevalent among distant galaxies. We also use measured Balmer decrements to investigate the relationship between dust attenuation and stellar mass out to z ∼ 6. The lack of significant redshift evolution in attenuation at fixed stellar mass, previously confirmed using Balmer decrements out …


Azimuthal Anisotropy Measurement Of (Multi)Strange Hadrons In Au+Au Collisions At √𝑠𝑁⁢𝑁=54.4 Gev, Star Collaboration Jan 2023

Azimuthal Anisotropy Measurement Of (Multi)Strange Hadrons In Au+Au Collisions At √𝑠𝑁⁢𝑁=54.4 Gev, Star Collaboration

Physics and Astronomy Faculty Publications

Azimuthal anisotropy of produced particles is one of the most important observables used to access the collective properties of the expanding medium created in relativistic heavy-ion collisions. In this paper, we present second (v2) and third (v3) order azimuthal anisotropies of KS0, φ, Λ, Ξ, and ω at midrapidity (|y|< 1) in Au+Au collisions at sNN=54.4 GeV measured by the STAR detector. The v2 and v3 are measured as a function of transverse momentum and centrality. Their energy dependence is also studied. v3 is found to be more sensitive to the change in the center-of-mass energy than v2. Scaling by constituent quark number is found to hold for v2 within 10%. This observation could be evidence for the development of partonic collectivity in 54.4 GeV Au+Au collisions. Differences in v2 and v3 between baryons and antibaryons are presented, and ratios of v3/v23/2 are studied and motivated by hydrodynamical calculations. The ratio of v2 of φ mesons to that of antiprotons [v2(φ)/v2(p¯)] shows centrality dependence at low transverse momentum, presumably resulting from the larger effects from hadronic interactions on antiproton v2.


Beam Energy Dependence Of Fifth- And Sixth-Order Net-Proton Number Fluctuations In Au + Au Collisions At Rhic, Star Collaboration Jan 2023

Beam Energy Dependence Of Fifth- And Sixth-Order Net-Proton Number Fluctuations In Au + Au Collisions At Rhic, Star Collaboration

Physics and Astronomy Faculty Publications

We report the beam energy and collision centrality dependence of fifth and sixth order cumulants (C5, C6) and factorial cumulants (κ5, κ6) of net-proton and proton number distributions, from center-of-mass energy (sNN) 3 GeV to 200 GeV Au+Au collisions at RHIC. Cumulant ratios of net-proton (taken as proxy for net-baryon) distributions generally follow the hierarchy expected from QCD thermodynamics, except for the case of collisions at 3 GeV. The measured values of C6/C2 for 0%-40% centrality collisions show progressively negative trend with decreasing energy, while it is positive for the lowest energy studied. These observed negative signs are consistent with …


Measurement Of Sequential ϒ Suppression In Au + Au Collisions At √Snn = 200 Gev With The Star Experiment, Star Collaboration Jan 2023

Measurement Of Sequential ϒ Suppression In Au + Au Collisions At √Snn = 200 Gev With The Star Experiment, Star Collaboration

Physics and Astronomy Faculty Publications

We report on measurements of sequential ϒ suppression in Au+Au collisions at sNN=200 GeV with the STAR detector at the Relativistic Heavy Ion Collider (RHIC) through both the dielectron and dimuon decay channels. In the 0%-60% centrality class, the nuclear modification factors (RAA), which quantify the level of yield suppression in heavy-ion collisions compared to p+p collisions, for ϒ(1S) and ϒ(2S) are 0.40±0.03(stat)±0.03(sys)±0.09(norm) and 0.26±0.08(stat)±0.02(sys)±0.06(norm), respectively, while the upper limit of the ϒ(3S) RAA is 0.17 at a 95% confidence level. This provides experimental evidence that the ϒ(3S) is significantly more suppressed than the ϒ(1S) at RHIC. The level of …


Measurementus Magnetic Moment To 0.20 Ppm Of The Positive Muon Anomalo, The Muon G − 2 Collaboration Jan 2023

Measurementus Magnetic Moment To 0.20 Ppm Of The Positive Muon Anomalo, The Muon G − 2 Collaboration

Physics and Astronomy Faculty Publications

We present a new measurement of the positive muon magnetic anomaly, aμ(gμ-2)/2, from the Fermilab Muon g-2 Experiment using data collected in 2019 and 2020. We have analyzed more than 4 times the number of positrons from muon decay than in our previous result from 2018 data. The systematic error is reduced by more than a factor of 2 due to better running conditions, a more stable beam, and improved knowledge of the magnetic field weighted by the muon distribution, p′, and of the anomalous precession frequency corrected for beam dynamics effects, ωa. From the ratio ωa/p′, together with precisely …


Ai-Assisted Optimization Of The Ecce Tracking System At The Electron Ion Collider, C. Fanelli, Z. Papandreou, K. Suresh Jan 2023

Ai-Assisted Optimization Of The Ecce Tracking System At The Electron Ion Collider, C. Fanelli, Z. Papandreou, K. Suresh

Physics and Astronomy Faculty Publications

The Electron-Ion Collider (EIC) is a cutting-edge accelerator facility that will study the nature of the ‘‘glue’’ that binds the building blocks of the visible matter in the universe. The proposed experiment will be realized at Brookhaven National Laboratory in approximately 10 years from now, with detector design and R&D currently ongoing. Notably, EIC is one of the first large-scale facilities to leverage Artificial Intelligence (AI) already starting from the design and R&D phases. The EIC Comprehensive Chromodynamics Experiment (ECCE) is a consortium that proposed a detector design based on a 1.5 T solenoid. The EIC detector proposal review concluded …


Scientific Computing Plan For The Ecce Detector At The Electron Ion Collider, J. C. Bernauer, C. T. Dean, C. Fanelli, J. Huang, K. Kauder, D. Lawrence, J. D. Osborn Jan 2023

Scientific Computing Plan For The Ecce Detector At The Electron Ion Collider, J. C. Bernauer, C. T. Dean, C. Fanelli, J. Huang, K. Kauder, D. Lawrence, J. D. Osborn

Physics and Astronomy Faculty Publications

The Electron Ion Collider (EIC) is the next generation of precision QCD facility to be built at Brookhaven National Laboratory in conjunction with Thomas Jefferson National Laboratory. There are a significant number of software and computing challenges that need to be overcome at the EIC. During the EIC detector proposal development period, the ECCE consortium began identifying and addressing these challenges in the process of producing a complete detector proposal based upon detailed detector and physics simulations. In this document, the software and computing efforts to produce this proposal are discussed; furthermore, the computing and software model and resources required …


Cylindrical Mega-Voids In Quaternary Aeolianites, Little Exuma Island, The Bahamas: Georadar Response, Ilya Val Buynevich, H. Allen Curran, Bosiljka Glumac, Michael Savarese, Lisa Park Boush Jan 2023

Cylindrical Mega-Voids In Quaternary Aeolianites, Little Exuma Island, The Bahamas: Georadar Response, Ilya Val Buynevich, H. Allen Curran, Bosiljka Glumac, Michael Savarese, Lisa Park Boush

Geosciences: Faculty Publications

In addition to karst features, tropical carbonates contain a wide range of smaller cylindrical voids (“pipes”) attributed to bioturbation, tree molds, or dissolution, among others. During geophysical investigation of the Little Exuma Island, The Bahamas, several sites with enigmatic voids were investigated using a high-frequency ground-penetrating radar (GPR) imaging.

The aim of the paper is to assess the feasibility of GPR to detect voids within lithified Holocene calcarenites of the Hannah Bay Member


New Advances In Long-Term Monitoring Of Storm-Deposited Boulder Ridges Along Rocky Shorelines Of San Salvador Island, Bahamas, Bosiljka Glumac, Ursula Miquel, H. Allen Curran Jan 2023

New Advances In Long-Term Monitoring Of Storm-Deposited Boulder Ridges Along Rocky Shorelines Of San Salvador Island, Bahamas, Bosiljka Glumac, Ursula Miquel, H. Allen Curran

Geosciences: Faculty Publications

Beginning in January 2012, we have monitored two boulder ridges on San Salvador: Singer Bar Point (SBP, length ~790 m) along the reef- and lagoon-protected northern coast and The Gulf (TG, length ~460 m) on the island’s high-energy southern coast. This long-term monitoring aims at documenting changes in ridge morphology and distribution, and the direction and amount of movement of individual boulders to gain insights into the intensity and effects of storms on these coastal areas.

In the initial stage of our investigations, the largest boulders from each site were photographed, GPS-located, measured, and characterized by composition and morphology. Boulders …


The Application Of Statistical Modeling To Identify Genetic Associations With Mild Traumatic Brain Injury Outcomes, Caroline Schott Jan 2023

The Application Of Statistical Modeling To Identify Genetic Associations With Mild Traumatic Brain Injury Outcomes, Caroline Schott

Masters Theses

"Traumatic brain injury (TBI) is a growing health concern, with millions of TBI diagnoses in the United States each year. The vast majority of TBI diagnoses are mild traumatic brain injuries (mTBI), which can be challenging to manage due to variation in symptoms and outcomes. Most individuals with mTBI successfully recover quickly, but a small subset has a delayed recovery. Although the factors that contribute to this variation in recovery are not clearly understood, it is possible that genetic differences may play a role. Very few studies have investigated the association between single nucleotide polymorphisms (SNPs) with mTBI outcomes and …


Spatially Resolved Imaging Of The Inner Fomalhaut Disk Using Jwst/Miri, András Gáspár, Schuyler Grace Wolff, George H. Rieke, Jarron M. Leisenring, Jane Morrison, Kate Y.L. Su, Kimberly Ward-Duong, Jonathan Aguilar, Marie Ygouf, Charles Beichman, Jorge Llop-Sayson, Geoffrey Bryden Jan 2023

Spatially Resolved Imaging Of The Inner Fomalhaut Disk Using Jwst/Miri, András Gáspár, Schuyler Grace Wolff, George H. Rieke, Jarron M. Leisenring, Jane Morrison, Kate Y.L. Su, Kimberly Ward-Duong, Jonathan Aguilar, Marie Ygouf, Charles Beichman, Jorge Llop-Sayson, Geoffrey Bryden

Astronomy: Faculty Publications

Planetary debris disks around other stars are analogous to the asteroid and Kuiper belts in the Solar System. Their structure reveals the configuration of small bodies and provides hints for the presence of planets. The nearby star Fomalhaut hosts one of the most prominent debris disks, resolved by the Hubble Space Telescope, Spitzer, Herschel and the Atacama Large Millimeter Array. Images of this system at mid-infrared wavelengths using JWST/MIRI not only show the narrow Kuiper belt-analogue outer ring, but also that (1) what was thought from indirect evidence to be an asteroid-analogue structure is instead broad, extending outward into the …


The Vertical Evolution And Horizontal Correlation Of Information Science Education Research In China, Siyu Chen, Xiaofeng Zhu, Xumu Jiang Jan 2023

The Vertical Evolution And Horizontal Correlation Of Information Science Education Research In China, Siyu Chen, Xiaofeng Zhu, Xumu Jiang

Journal of Scientific Information Research

[Purpose/significance]The comprehensive and accurate visualization of the information science education research in our country will help clarify the research context and inspire future research.[Method/process] Based on the relevant literature on "information education" in the CNKI database from 1980 to 2022, from the high-frequency keywords of the literature, the evolutionary context and development direction of our country's information science education research hotspots were longitudinally studied; from the three levels of system including our county's information science reseanch subject and research authar, our country's information science research research subject and research auther, horizontally explored and analyzed the mutual influence and mutual connection …


Bringing Stakeholders Along For The Ride: Towards Supporting Intentional Decisions In Software Evolution: Supplemental Material, Alicia M. Grubb, Paola Spoletini Jan 2023

Bringing Stakeholders Along For The Ride: Towards Supporting Intentional Decisions In Software Evolution: Supplemental Material, Alicia M. Grubb, Paola Spoletini

Data

Supplemental material for the research paper entitled, "Bringing Stakeholders Along for the Ride: Towards Supporting Intentional Decisions in Software Evolution". This paper presents an initial literature review to define intentionality, disambiguate it from its use in literature, and position it in relation to similar concepts. This supplement contains the literature review data file.


Predicting Precedent: A Psycholinguistic Artificial Intelligence In The Supreme Court, Kimo Gandall, Chris Haley, Juliana Chhouk, Logan Knight, Alex Wang, Bella Demarco Jan 2023

Predicting Precedent: A Psycholinguistic Artificial Intelligence In The Supreme Court, Kimo Gandall, Chris Haley, Juliana Chhouk, Logan Knight, Alex Wang, Bella Demarco

Journal of Law, Technology, & the Internet

Since the proliferation of analytic methodologies and ‘big data’ in the 1980s, there have been multiple studies claiming to offer consistent predictions for Supreme Court behavior. Political scientists focus on analyzing the ideology of judges, with prediction accuracy as high as 70%. Institutionalists, such as Kaufmann (2019), seek to make predictions on verdicts based on a thorough, qualitative analysis of rules and structures, with predictive accuracy as high as 75%. We argue that a psycholinguistic model utilizing machine learning (SCOTUS_AI) can best predict Court outcomes. Extracting sentiment features from parsed briefs through the Linguistic Inquiry and Word Count (LIWC), our …


Genetic Capitalism: The Anthropological Evolution Of Antibiotic Resistant Bacteria, Mehin Suleiman Jan 2023

Genetic Capitalism: The Anthropological Evolution Of Antibiotic Resistant Bacteria, Mehin Suleiman

Hispanic Studies Honors Papers

This thesis titled "Genetic Capitalism: The Anthropological Evolution of Antibiotic Resistant Bacteria" explores the evolution of antimicrobial resistance (AMR) genotypes in bacteria and its impact on our destruction of a once symbiotic relationship with bacterial species. By taking an anthropological approach, I investigate how material relations, social institutions, cultural meanings, and political relations within and beyond the microcosm of bacteria have led to mass bacterial resistance. In the course of my research, I examine the cultures of bacterial cultures and their interactions, as well as the language of bacteria and their social intelligence, in order to anthropomorphize bacterial species that …


Examining Spaces For Integrating Physics And Computing Through Classroom Inquiry, Colby Tofel-Grehl, Kristin Searle, Douglas Ball, Soojeong Jeong Jan 2023

Examining Spaces For Integrating Physics And Computing Through Classroom Inquiry, Colby Tofel-Grehl, Kristin Searle, Douglas Ball, Soojeong Jeong

Teacher Education and Leadership Faculty Publications

As computing becomes an essential component of professional practice across science, technology, engineering, and mathematics (STEM) fields, integration of computing across content areas in K-12 classrooms is also becoming important. Particularly within science classrooms, computer science and computational thinking (CS/CT) are novel and necessary skills for modeling, working with data, and other foundational science skills. Finding ways to engage students in practicing and learning CT within authentic science learning is challenging for most teachers. In this article, the authors report on one teacher’s efforts to engage high school students in maker-based physics education, integrating computational thinking by designing and building …


Design, Construction, And Stabilization Of An Adjustable Repetition Rate Frequency Comb For Precision Spectroscopy, Matthew Carter Jan 2023

Design, Construction, And Stabilization Of An Adjustable Repetition Rate Frequency Comb For Precision Spectroscopy, Matthew Carter

Physics, Astronomy and Geophysics Honors Papers

Optical frequency combs have numerous applications across the sciences. One of the most powerful applications is in molecular spectroscopy, which takes advantage of both the coherence of lasers and combs’ inherent broad bandwidth. One well-established design is the erbium fiber comb, which is popular due to its low cost and relative ease of construction. I have modified the traditional all-fiber design by introducing an adjustable free-space section which allows for adjustments to the path length, and thus the comb’s repetition rate. This low-cost addition allows for repetition rate matching, a necessity for dual-comb spectroscopy, and active repetition rate stabilization, which …


Multimodal Emotion Analysis With Focused Attention, Siddhi Kiran Bajracharya Jan 2023

Multimodal Emotion Analysis With Focused Attention, Siddhi Kiran Bajracharya

Dissertations and Theses

Emotion analysis, a subset of sentiment analysis, involves the study of a wide array of emotional indicators. In contrast to sentiment analysis, which restricts its focus to positive and negative sentiments, emotion analysis extends beyond these limitations to a diverse spectrum of emotional cues. Contemporary trends in emotion analysis lean toward multimodal approaches that leverage audiovisual and text modalities. However, implementing multimodal strategies introduces its own set of challenges, marked by a rise in model complexity and an expansion of parameters, thereby creating a need for a larger volume of data. This thesis responds to this challenge by proposing a …


Project Intersect Integrated Stem Badge Facilitator’S Guide, Terrie Galanti, Raven Robinson-Wilson Jan 2023

Project Intersect Integrated Stem Badge Facilitator’S Guide, Terrie Galanti, Raven Robinson-Wilson

STEM Integration

This guide supports STEM teacher educators who would like to offer the 8-week Project InTERSECT Integrated STEM badge course (15 hours) to a small group of elementary pre-service or practicing teachers.

The facilitator’s guide describes the structure of the Canvas course, editable text for weekly announcements, and suggested feedback statements to support weekly activity completion and reflection.


The Meaning Of Optimum And Chosen Method Of Optimization Are Individually Defined, Jeffrey Yi-Lin Forrest, Lawrence Shao, Jun Liu, Brian Sloboda Jan 2023

The Meaning Of Optimum And Chosen Method Of Optimization Are Individually Defined, Jeffrey Yi-Lin Forrest, Lawrence Shao, Jun Liu, Brian Sloboda

Pennsylvania Economic Review

Finding the true meaning of the assumption of rationality has attracted the attention of many scholars and brought forward major changes to the discipline of economics. However, the vast amount of literature shows that such attention has not only led to inconsistent interpretations, but also contradictory ones. To clear up these inconsistencies and contradictions, this paper looks at this assumption from a different angle – natural endowments of individuals and business firms, respectively. To do so successfully, this research goes far beyond all well-adopted methods of analysis and employs systems methods and such a logical reasoning that is parallel to …


A Picture Is Worth A Thousand Words: Understanding Our Students' Mathematical Experiences Through Drawing, Gabriel T. Matney, Corrinne Fischer, Jack L. Jackson Ii Jan 2023

A Picture Is Worth A Thousand Words: Understanding Our Students' Mathematical Experiences Through Drawing, Gabriel T. Matney, Corrinne Fischer, Jack L. Jackson Ii

School of Inclusive Teacher Education Faculty Publications

Learning about our students’ perceptions of mathematics can help teachers better understand students’ mathematical efficacy and aid in the creation of lessons that foster positive mathematical learning experiences. In this article, we share some students’ perceptions of doing mathematics through their drawings. We looked at students from three different grade levels in three different countries: China, Fiji, and the United States. We discuss what we learned from these drawings as teachers and how teachers can use the drawing task to learn more about their student’s perceptions of doing mathematics.


Implied Organizations And Technological Governance, Shawn Bayern Jan 2023

Implied Organizations And Technological Governance, Shawn Bayern

Scholarly Publications

Common law historically adapted creatively and gracefully to the emergence of new types of organizations. Today, statutory forms of organizations predominate. But statutory organizational forms may be ill-suited to govern the novel, loosely coupled, and rapidly changing organizations that can arise through distributed technological mechanisms. This Article suggests that the common law of implied organizations can be a fertile ground for legal responses to technological organizations and indeed may be important not just for regulating such organizations but for giving them important legal capabilities.


Tweetace: A Fine-Grained Classification Of Disaster Tweets Using Transformer Model, Ademola Adesokan, Sanjay Madria, Long Nguyen Jan 2023

Tweetace: A Fine-Grained Classification Of Disaster Tweets Using Transformer Model, Ademola Adesokan, Sanjay Madria, Long Nguyen

Computer Science Faculty Research & Creative Works

Disaster management teams play a crucial role in responding to catastrophic events with speed and efficiency. However, when faced with large data of disaster-related information, manual systems can struggle to classify the information accurately, especially when they are unavailable. This challenge highlights the need for integrating social media and implementing machine learning models to address the issue. However, the development of such models is dependent on the availability of adequately annotated data, which presents a significant obstacle in the field of crisis management. to address this challenge, our study focuses on the need for disaster event classification through social media. …


Facile Electrochemical Preparation Of Hydrophobic Antibacterial Fabrics Using Reduced Graphene Oxide/Silver Nanoparticles, Behnaz Jafari, Carla M.R. Lacerda, Gerardine G. Botte Jan 2023

Facile Electrochemical Preparation Of Hydrophobic Antibacterial Fabrics Using Reduced Graphene Oxide/Silver Nanoparticles, Behnaz Jafari, Carla M.R. Lacerda, Gerardine G. Botte

Jasper Department of Chemical Engineering Faculty Publications and Presentations

A novel facile electrochemical method was developed for in situ coating of fabrics with reduced graphene oxide/silver nanoparticles. The procedure consisted of three steps: spray coating of graphene oxide on the fabric, electrochemical reduction of the graphene oxide layer, and electrodeposition of silver nanoparticles on the fabrics. All the steps were performed at room temperature without using a toxic reducing agent. The fabrics coated with reduced graphene oxide/silver nanoparticles demonstrated excellent hydrophobicity (water contact angle of 148.0° 1.1) and strong antibacterial activity against gram negative Escherichia coli bacteria (reduction rate >99.99%). The durability of the modified fabrics was investigated by …


Cyberphysical Systems And Energy: A Discussion With Reference To An Enhanced Geothermal Process, Keshav Kasturi Rangan, Henrique Oyama, Ilham Azali Assoumani, Helen Durand, K.Y. Simon Ng Jan 2023

Cyberphysical Systems And Energy: A Discussion With Reference To An Enhanced Geothermal Process, Keshav Kasturi Rangan, Henrique Oyama, Ilham Azali Assoumani, Helen Durand, K.Y. Simon Ng

Chemical Engineering and Materials Science Faculty Research Publications

As cyberphysical systems research advances, energy systems will be able to benefit from the developments. In this section, we discuss several points in two newer areas for cyberphysical systems research in chemical engineering: 1) cybersecurity of process control systems; and 2) quantum computation of control actions. The discussion is presented in a general manner, with relevance to flow systems or under traditional control laws (e.g., proportional control). However, to showcase energy systems relevance, we will provide links, at intervals, between the developments discussed and enhanced geothermal systems with energy production through the Organic Rankine Cycle (ORC).


Mediational Effect Of Teacher-Based Discrimination On Academic Performance: An Intersectional Analysis Of Race, Gender, And Income/Class, Eric Kyere, Saahoon Hong, Carolyn Gentle-Genitty Jan 2023

Mediational Effect Of Teacher-Based Discrimination On Academic Performance: An Intersectional Analysis Of Race, Gender, And Income/Class, Eric Kyere, Saahoon Hong, Carolyn Gentle-Genitty

Founder’s College - Scholarship and Professional Work

Drawing on prior research, this study applies an intersectional framework to investigate discrimination in the context of teacher–student relationships and its influence on students’ academic outcomes. Outcomes assessed were inclusive of self-efficacy, school attendance, and grade point average (GPA). For this analysis, structural equation modeling was used with a cross-sectional sample of the Maryland and Adolescent Development in Context Study (MADICS) and the youth self-administered (YSA) questionnaires administered when the youth were in 8th grade (Wave 3). A total of 1182 students completed the survey, of whom 704 were selected for this study. Findings show teacher discrimination as a mechanism …


The Use Of Artificial Intelligence In The Practice Of Law, Indiana Continuing Legal Education Forum (Iclef) Jan 2023

The Use Of Artificial Intelligence In The Practice Of Law, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2023

Meeting proceedings of a seminar by the same name, held August 4, 2023.


Evidence For Trial Lawyers, Indiana Continuing Legal Education Forum (Iclef) Jan 2023

Evidence For Trial Lawyers, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2023

Meeting proceedings of a seminar by the same name, held November 14, 2023.


Avoiding Malpractice_ The Good, The Bad, And The Ugly Of Legal Technology, Indiana Continuing Legal Education Forum (Iclef) Jan 2023

Avoiding Malpractice_ The Good, The Bad, And The Ugly Of Legal Technology, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2023

Meeting proceedings of a seminar by the same name, held February 14, 2023.


21st Annual Family Law Institute, Indiana Continuing Legal Education Forum (Iclef) Jan 2023

21st Annual Family Law Institute, Indiana Continuing Legal Education Forum (Iclef)

Indiana Continuing Legal Education Forum 2023

Meeting proceedings of a seminar by the same name, held November 2-3, 2023.