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Jnchc, Vol. 24, No. 1: Frontmatter, National Collegiate Honors Council

Journal of the National Collegiate Honors Council Online Archive

Frontmatter for JNCHC: Journal of the National Collegiate Honors Council (Spring/Summer 2023) 24(1): ii-xvii

Forum essays on "Regime change in honors"

Journal editor Ada Long, University of Alabama at Birmingham

ISBN 978-1-945001-19-2 | ISSN 1559-0151

Includes front cover, masthead, table of contents, Call for papers, editorial policy, deadlines, submission guidelines, dedication to James Joseph Buss (Northern Kentucky University), and editor's introduction by Ada Long (University of Alabama at Birmingham).

Jnchc: Journal Of The National Collegiate Honors Council; Forum Essays On "Regime Change In Honors," Vol. 24, No. 2, Fall/Winter 2023: Complete Issue, National Collegiate Honors Council

Journal of the National Collegiate Honors Council Online Archive

Contents

Call for Papers

Editorial Policy, Deadlines, and Submission Guidelines

Dedication to Cliff Jefferson and Mitch Pruitt

Editor’s Introduction - Ada Long

Forum Essays on “Creating an Honors Faculty”

Creating and Celebrating Honors Faculty - Lynne C. Elkes

Honors as Incubator for Creating and Sustaining Faculty Professional Growth - Marlee Marsh and John Zubizarreta

Building an Honors Community that Values and Celebrates Faculty - Kristine A. Miller

Peanuts and Shoestrings: Building an Honors Faculty Pool with Limited Resources - Victoria M. Bryan

Research Essays

Developing Honors Faculty through Faculty Development Programs - Aaron Hanlin

A Relational Model for Honors Education: …

Jnchc, Vol. 24, No. 2: Frontmatter And Backmatter, National Collegiate Honors Council

Journal of the National Collegiate Honors Council Online Archive

JNCHC: Journal of the National Collegiate Honors Council

Forum on Creating an Honors Faculty

Vol. 24, No. 2 | Fall/Winter 2023

Masthead

Contents

Call for papers

Editorial policy

Dedication: Cliff Jefferson and Mitch Pruitt

About the authors

About the NCHC monograph series

NCHC monographs and journals

NCHC publications order form

In this issue

Honors As Incubator For Creating And Sustaining Faculty Professional Growth, Marlee Marsh, John Zubizarreta

Journal of the National Collegiate Honors Council Online Archive

Successful honors programs inspire and sustain a vibrant and committed faculty. This essay presents an established honors program which demonstrates, through varied faculty commitments over time, honors as a valuable asset in identifying, recruiting, supporting, and rewarding a strong, creative, loyal faculty that benefits the entire institution. Authors suggest multiple ways for establishing and nurturing the kinds of relationships that enhance both honors and its dedicated faculty. Leveraging honors for professional growth and pedagogical development, these include the design of interdisciplinary courses and special seminars, mentoring of student projects, engaging in study-travel ventures, winning distinguished awards, serving on important committees, …

Underrepresented Students’ Perspectives On Higher Education Equity In The University Of California’S Elimination Of The Standardized Testing Requirement: A Critical Policy Analysis, Yufei Chen

LMU Theses and Dissertations

In July 2022, the University of California (UC) permanently eliminated the standardized tests requirement for its freshman admissions in order to alleviate the severed socioeconomic gap and college access barriers that were heightened by the COVID-19 pandemic. This critical policy analysis research explored the immediate effects of UC’s policy reform on higher education equity. All 14 participants were underrepresented minority (URM) students who applied to at least one UC campus for fall 2022’s freshman admissions and were enrolled in four-year universities at the time of this study. From demographic surveys, focus groups, and in-depth interviews, I applied critical race theory …

How Reliable Are Shap Values When Trying To Explain Machine Learning Models, Jason Lawless

Senior Honors Theses and Projects

With the rapid growth and application of machine learning and artificial intelligence models that can not be understood by humans, there is a growing movement calling for an increase in interpretability. There are numerous methods that attempt to explain these models that vary drastically in the process of evaluating models. In this paper, we investigate a local post-hoc method called SHAP. SHAP utilizes Shapley values from game theory to attribute an importance value to each input in a model at each datapoint. Shapley values can require significant computation time, especially as the number of inputs increases. In order to shorten …

A Literary Analysis Of The Oort Cloud: Summarising Its History And Proposing A Mission To Image Oort Cloud Objects, Avital Keeley

Senior Honors Theses and Projects

The Oort Cloud was hypothesised in 1950 but has lost popularity as a research topic. This literary research summarises the most notable articles and simulations on the Oort Cloud with an analysis on the outdated simulations and assumptions. Finally, this research conflates the hypothesised values of Oort Cloud parameters to calculate the required specifications of instrumentation needed to image an Oort Cloud Object, and a rough budget is proposed of $5 million to launch a 35 km interferometer.

Surface-Engineered Mineral Particles For Gated Drug Delivery, Gene Transfer And Sunscreen Formulations, Mahadi Hasan

Dissertations and Theses

Surface-engineered nanomaterials have recently garnered wide attention for their huge biomedical applications. The surface functionalization of nanoparticles by desired chemical groups and coatings imparts unique properties to be used in therapeutic applications. Herein, we reported the biological and biomedical applications of three mineral particles: calcium carbonate nanoparticles, hydroxyapatite nanoparticles and mesoporous silica nanoparticles. The ability of pristine and surface-modified calcium carbonate particles to scatter UV-light significantly depends on the particle’s size, its surface chemical composition, and can be close to the SPF values of commercial sunscreens. These nontoxic particles are a promising component of biocompatible sunscreens free of the traditional …

Sub-Monthly Prediction Of Harmful Algal Blooms Based On Automated Cell Imaging, Vitul Agarwal, Jonathan Chávez-Casillas, Colleen B. Mouw

Graduate School of Oceanography Faculty Publications

Harmful algal blooms (HABs) are an increasing threat to global fisheries and human health. The mitigation of HABs requires management strategies to successfully forecast the abundance and distribution of harmful algal taxa. In this study, we attempt to characterize the dynamics of 2 phytoplankton genera (Pseudo-nitzschia spp. and Dinophysis spp.) in Narragansett Bay, Rhode Island, using empirical dynamic modeling. We utilize a high-resolution Imaging FlowCytobot dataset to generate a daily-resolution time series of phytoplankton images and then characterize the sub-monthly (1–30 days) timescales of univariate and multivariate prediction skill for each taxon. Our results suggest that univariate …

Using Drone Imagery To Map Intertidal Oyster Reefs Along Florida’S Gulf Of Mexico Coast, Michael Espriella, Vincent Lecours

Gulf and Caribbean Research

Eastern oyster (Crassostrea virginica) reefs offer vital ecosystem services and support economically and culturally important fisheries. However, environmental and anthropogenic stressors have led to significant decline in oyster reef coverage globally and locally in places like the Suwannee Sound in Florida, USA. Current monitoring methods are insufficient for timely and accurate assessment of oyster resources in the region. Here we demonstrate how drone imagery can be used to delineate intertidal oyster reef coverage rapidly and reliably. The high spatial resolution offered by drone imagery enables accurate delineations. We use a segmentation algorithm to delineate reefs, which produces consistently …

Getting To Know You: Learning About Our Student Populations, Cynthia Rain Keller, Elizabeth Novosel

LOEX Conference Proceedings 2023

No abstract provided.

Does Current Uk Law Protect Members Of The Public When Attending Amusement Parks, Or Is A Review And Reform Of Current Legislation Needed?, Poppy Jarvis

Plymouth Law Review

No abstract provided.

Aircraft Damage Classification By Using Machine Learning Methods, Tüzün Tolga İnan

International Journal of Aviation, Aeronautics, and Aerospace

Safety is the most significant factor that affected incidents (non-fatal) and accidents (fatal) in civil aviation history related to scheduled flights. In the history of scheduled flights, the total incident and accident number until 2022 is 1988. In this study, 677 of them are taken into consideration since 11 September 2001. The purpose of this study is to reveal the factors that can classify type of aircraft damages such as none, minor and substantial in all-time incidents and accidents. ML algorithms with different configurations are applied for the classification process. The RFE and PCA are used to find the most …

Accuracy Assessment Of The Ebee Using Rtk And Ppk Corrections Methods As A Function Of Distance To A Gnss Base Station, Joseph Cerreta, David Thirtyacre, Peter Miller, Scott S. Burgess, William J. Austin

International Journal of Aviation, Aeronautics, and Aerospace

The use of unmanned aircraft systems to collect data for photogrammetry models has grown significantly in recent years. The accuracy of a photogrammetric model can depend on image georeferencing. The distance from a reference base station can affect the accuracy of the results. Positioning corrections data relies on precise timing measurements of satellite signals. The signals travel through the Earth's atmosphere, which introduces errors due to ionospheric and tropospheric delays. The aim of this research was to examine the eBee X and its global GNSS accuracy by comparing the RTK and PPK methods at different base station distances in photogrammetry …

Business Process Architecture For The Integration Of Artificial Intelligence At Aerospace Organizations, Andrew Walker

International Journal of Aviation, Aeronautics, and Aerospace

Artificial intelligence's capability is rapidly increasing, and the aerospace industry must capitalize on this computing revolution. The current study conducts an integrative literature review to identify current and potential AI applications beneficial to the aerospace industry. It utilizes the findings to develop a new high-level business process architecture integrating AI in the workplace. Business process elements are extracted from the literature using logical reasoning to modify a baseline architecture model. The new model is developed to allow the integration of artificial intelligence from a holistic perspective, at the more general level of employee interaction and at the more narrow level …

Stochastic Optimization To Reduce Aircraft Taxi-In Time At Igia, New Delhi, Rajib Das, Saileswar Ghosh, Rajendra Desai, Pijus Kanti Bhuin, Stuti Agarwal

International Journal of Aviation, Aeronautics, and Aerospace

Since there is an uncertainty in the arrival times of flights, pre-scheduled allocation of runways and stands and the subsequent first-come-first-served treatment results in a sub-optimal allocation of runways and stands, this is the prime reason for the unusual delays in taxi-in times at IGIA, New Delhi.

We simulated the arrival pattern of aircraft and utilized stochastic optimization to arrive at the best runway-stands allocation for a day. Optimization is done using a GRG Non-Linear algorithm in the Frontline Systems Analytic Solver platform. We applied this model to eight representative scenarios of two different days. Our results show that without …

Science And Science Fiction In An Interdisciplinary First-Year Experience Honors Course, John D. Carrell, Robert G. Weiner

Honors in Practice Online Archive

Engineering and pop-culturist instructors team-teach a first-year experience course exploring science through the lenses of history, literature, film, television, and sequential art. Authors present science fiction discourses as unique for synthesizing fields in the humanities and STEM, and they present curricular and co-curricular design strategies for harnessing its potential in the honors classroom. Course objectives and outcomes are presented, with authors noting specific challenges in implementation and emendation. Adaptability and compatibility figure prominently in the successful delivery of the course. A review of literature relating to interdisciplinary education and team-teaching in honors is included.

About The Authors, Nchc Monograph Series, Publications Order Form, Back Cover

Honors in Practice Online Archive

No abstract provided.

Bridgewater Magazine, Volume 33, Number 2, Fall 2023, Bridgewater State University

Bridgewater Magazine

Taking Flight: Meet BSU students and alumni from the growing Aviation Science Program. Also in this issue: Two faculty members research the lives and times of early Black and Indigenous local citizens; Faculty researchers recount details of two of the enslaved in Colonial Bridgewater; and Alumna finds career satisfaction in helping others.

Characteristics Of Special Education Field Placements: An Exploratory Study, Karin M. Fisher, Angela Norris

The Journal of Special Education Apprenticeship

Research and policy in the field of teacher education recommend that special education (SPED) programs include opportunities for candidates to practice in supervised field experiences. Such field experiences (a) engage candidates in professional practice, (b) reduce their anxiety, (c) gain confidence, and (d) allow them to view themselves as educators. However, there is a lack of research on the characteristics of field placements in SPED. As a result of the dearth in the literature, the researchers discussed the results of an exploratory single survey study of 42 faculty members from institutes of higher education (IHE) from across the United States …

Database Design And Implementation, Weiru Chen

ATU Faculty OER Books and Materials

The book of Database Design and Implementation is a comprehensive guide that provides a thorough introduction to the principles, concepts, and best practices of database design and implementation. It covers the essential topics required to design, develop, and manage a database system, including data modeling, database normalization, SQL programming, and database administration.

The book is designed for students, database administrators, software developers, and anyone interested in learning how to design and implement a database system. It provides a step-by-step approach to database design and implementation, with clear explanations and practical examples. It also includes exercises and quizzes at the end …

The Everyday Math Guide: Seeing And Using Math In Your Daily Life, Jamie King

ATU Faculty OER Books and Materials

This textbook was created to align with many of the Arkansas standards for the Quantitative Literacy course "MATH 1113" in the Arkansas Course Transfer system.

Design And Fabrication Of Volume Holographic Optical Couplers For A Range Of Non-Normal Incidence Angles, Dipanjan Chakraborty, Rosen Georgiev, Sinead Aspell, Izabela Naydenova, Suzanne Martin

Conference Papers

A theoretical model has previously been developed to calculate the holographic recording beam angles required in air (at any recording wavelength) to produce a Volume Holographic Optical Element (VHOE) for operation as a coupler for different input and output angles. In this paper, the experimental study is extended to further validate the VHOE coupler design and fabrication approach for additional incident beam angles, comparing -40° -45° and -50° (in air). The output angle for each VHOE is +45° within the medium and the coupler operational wavelength is 633nm. Holographic recording in Bayfol HX 200 photopolymer at 532nm is used to …

Fabrication And Characterisation Of Large Area, Uniform And Controllable Surface Relief Patterns In Photopolymer Material, Owen Kearney, Izabela Naydenova

Conference Papers

As the risk of antibiotic resistant pathogens increases, development of convenient point of care devices is essential. Such devices would help avoid infection – ensure cleanliness of environments and assist in bacteria analysis. The ultimate aim of the research presented here is to develop a compact, cost effective, easy to use optical device which is capable of detecting and quantifying bacteria in an aqueous sample. The surface relief patterns have a dual role, they provide a diffracted light signal, and control the adhesion of the bacteria to the surface. The strength of the diffracted signal is expected to provide a …

Explaining Deep Learning Time Series Classification Models Using A Decision Tree, Ephrem T. Mekonnen, Pierpaolo Dondio, Luca Longo

Academic Posters Collection

This preliminary study proposes a new post hoc method to explain deep learning-based time series classification models using a decision tree. Our approach generates a decision tree graph or rulesets as an explanation, improving interpretability compared to saliency map-based methods. The method involves two phases: training and evaluating the deep learning-based time series classification model and extracting prototypical events from the evaluation set to train the decision tree classifier. We conducted experiments on artificial and real datasets, evaluating the explanations based on accuracy, fidelity, number of nodes, and depth. Our preliminary findings suggest that our post-hoc method improves the interpretability …

Developing A Data-Driven Statistical Model For Accurately Predicting The Superconducting Critical Temperature Of Materials Using Multiple Regression And Gradient-Boosted Methods, Emil Agbemade

Data Science and Data Mining

This study focuses on developing a statistical model for estimating the superconducting critical temperature (Tc) of materials using a data-driven strategy. The study analyzed 21,263 superconductors and used a combination of multiple regression and gradient-boosted models to make predictions. The analysis included a descriptive analysis of the distribution of Tc, feature selection using the Backwards selection method, and model diagnostics. The results showed that the gradient-boosted method outperformed the multiple linear regression method with an RMSE of 12.01 and an R² value of 88.23 after fine-tuning its hyperparameters. The study concludes that the gradient-boosted method is an effective approach …

A Linear Regression Model To Predict The Critical Temperature Of A Superconductor, Amir Alipour Yengejeh

Data Science and Data Mining

Since the superconductivity has been introduced, almost all studies in this area have been striving to predict the critical temperature ($T_{c}$) through the features extracted from the superconductor's chemical formula. In this study, thus, we are interested in exploring the linear association between $T_{c}$ and the related features.

Realism, Disagreement, And Explanation, Brian Leiter

Articles

No abstract provided.

Statistical Inference And Power Analysis For Direct And Spillover Effects In Two-Stage Randomized Experiments, Zhichao Jiang, Kosuke Imai, Anup Malani

Articles

Two-stage randomized experiments become an increasingly popular experimental design for causal inference when the outcome of one unit may be affected by the treatment assignments of other units in the same cluster. In this paper, we provide a methodological framework for general tools of statistical inference and power analysis for two-stage randomized experiments. Under the randomization-based framework, we consider the estimation of a new direct effect of interest as well as the average direct and spillover effects studied in the literature. We provide unbiased estimators of these causal quantities and their conservative variance estimators in a general setting. Using these …

How Ai Can Learn From The Law: Putting Humans In The Loop Only On Appeal, I. Glenn Cohen, Boris Babic, Sara Gerke, Qiong Xia,, Theodoros Evgeniou, Klaus Wertenbroch

Faculty Scholarly Works

While the literature on putting a “human in the loop” in artificial intelligence (AI) and machine learning (ML) has grown significantly, limited attention has been paid to how human expertise ought to be combined with AI/ML judgments. This design question arises because of the ubiquity and quantity of algorithmic decisions being made today in the face of widespread public reluctance to forgo human expert judgment. To resolve this conflict, we propose that human expert judges be included via appeals processes for review of algorithmic decisions. Thus, the human intervenes only in a limited number of cases and only after an …