Digital Commons Network^™

Levetiracetam In Epilepsy And Autism Spectrum Disorder: Analysis Of Safety, Tolerability, And Efficacy, Jon Allard, William Henley, Brendan Mclean, Lance Watkins, Mary Parrett, Sanjeev Rajakulendran, Melissa Maguire, Shan Ellawela, Phil Tittensor, Juliet Bransgrove, Arjune Sen, Rajiv Mohanraj, Many Bagary, Sunil Ram, Sarah Pashley, Rohit Shankar

Peninsula Medical School

Purpose: One in five people with autism spectrum disorder have epilepsy and take Anti-Seizure Medications (ASM). However, the impact of ASM on people with autism is under researched. This study evaluates the efficacy and tolerability of Levetiracetam (LEV) for autistic people and epilepsy. Method: Data was derived from the English Epilepsy Research Database Register which compares ASM responses in those with neurodevelopmental disorders to those without. Age range was 18–50 years as there were no autistic research participants with autism prescribed LEV over 50. Twelve-month ASM data, including withdrawal rate, seizure frequency and adverse effects were compared. Fisher's exact test …

Poking Holes And Adding Points In Dictator Games, James C. Cox, Cary Deck, Laura Razzolini, Vjollca Sadiraj

ESI Working Papers

Deviations from choices predicted by self-regarding preferences have regularly been observed in standard dictator games. Such behavior is not inconsistent with conventional preference theory or revealed preference theory, which accommodate other-regarding preferences. By contrast, experiments in which giving nothing is not the least generous feasible act produce data that is inconsistent with conventional preference theory including social preference models and suggest the possible relevance of reference point models. Two such models are the reference-dependent theory of riskless choice with loss aversion and choice monotonicity in moral reference points. Our experiment includes novel treatments designed to challenge both theoretical models of …

Leaving Delaware? The Essential Role Of Specialized Corporate Courts, Zohar Goshen, Tomer S. Stein

Faculty Scholarship

Following the Delaware Court of Chancery’s invalidation of Elon Musk’s fifty-six- billion-dollar compensation package, Tesla moved its incorporation from Delaware to Texas. Shortly thereafter, Delaware’s legislature, seeking to protect Delaware’s dominant incorporation position, passed the most sweeping corporate law amendments in fifty years.

Both supporters of Musk and defenders of Delaware’s judiciary have accused each other of partisanship, but neither side has addressed the central question: What is the role of specialized corporate courts?

This Essay presents a novel theory of why such courts are necessary. Corporate disputes are distinct because they arise within ongoing relationships between shareholders and management, …

Ai Companions And The Lessons Of Family Law, Clare Huntington

Faculty Scholarship

Virtual friends and lovers powered by artificial intelligence are rapidly moving to the center of our emotional and social lives. Millions of people turn to AI companions every day for conversation, romance, sexual intimacy, therapy, and education. AI companionship holds promise, potentially reducing loneliness, supporting people without access to mental health treatment, helping students learn, and offering a judgment-free space for sensitive conversations. But AI companionship also raises significant concerns. The technology's addictiveness may exacerbate loneliness and can undermine human relationships. Therapy bots may prove more harmful than helpful. AI companions can be emotionally abusive. And their access to the …

Child-Taking Justice And The Federal Indian Boarding School Initiative, Diane Marie Amann

Scholarly Works

The focus of this article is the 2022–2024 Federal Indian Boarding School Initiative undertaken the U.S. Executive Branch. The article chronicles this three-year process, which included sessions with survivors and their descendants, and which resulted in a two-volume report, in an apology by President Joe Biden, and in designation of a national memorial at one of the most notorious school sites. This article examines the initiative as an example of “child-taking justice”; that is, as a process of what is called “transitional justice”, done in an effort to redress the takings of children from their community, followed by efforts to …

Attorneys And Ai: How Lawyers Use Artificial Intelligence And Analyze Its Impacts, Matthew I. Hall, Christian Turner, Eddie A. Gomez Schieber, Nathaniel Kite, Ari Schlesinger

Scholarly Works

AI systems are testing lawyers' professional ethics obligations of competence, confidentiality, and candor. In the legal profession, the widespread availability of AI systems presents opportunities, like improving the review of documents during the discovery stage of a lawsuit, and challenges, illustrated by the handful of high-profile incidents where lawyers submitted legal briefs in court citing and describing fictitious cases based on AI-generated output. We conducted interviews with 44 legal professionals in the U.S. to understand how attorneys are making sense of AI technology and the impacts these technologies are having on their profession, legal ethics, and legal institutions. We describe …

Capacity Maximization Through Production Lead Time Reduction Of Company Xyz With The Use Of Dmaic Methodology, Aaron Will G. Delmo, Julius Angelo D.J. Galang, Maria Liezel C. Eusebio

Journal Article

Company XYZ, an industrial printing company, has been declining in capacity and actual output resulting in monthly unrealized revenue. The goal of this study is to maximize the current capacity, decreasing production lead time by at least 12%, with the use of Define, Measure, Analyze, Improve and Control methodology. The focus was set on the offset machine and packaging process which are the most crucial steps based on Pareto Analysis. Fishbone diagram was then utilized to identify the root cause of the problems with the aforementioned processes. These root causes are further assessed using the CNX analysis. The main root …

Agility Evaluation On The Small Value Item Procurement Process Of The Department Of Education Division Of Davao Del Sur, Philippines, Save Mart E. Mondejar, Haerold Dean Z. Layaoen, Gabriel John L. De Leon, Julius Angelo D.J. Galang

Journal Article

Public procurement in the Philippines is primarily guided by Republic Act 9184 or the Government Procurement Act. In the Department of Education Division of Davao del Sur (DepEd Davao del Sur), procurement can be classified under big and small value item procurement. However, small value item procurement (SVP) projects in DepEd Davao del Sur experienced persistent delays in 2021 and 2022. In addition, gaps in the documentation and archiving system constrained the availability of reliable procurement data. To address this, the fuzzy agility evaluation method (FAEM) was utilized within a limited timeframe to determine the level of procurement agility and …

Perceived Courier Service Quality On Online Sellers’ Intentions To Reduce Overpackaging, Freya Jiana T. Arellano, Marc Immanuel G. Isip

Journal Article

This study focused on understanding the intentions of Filipino online sellers to reduce overpackaging, recognizing their pivotal role in addressing packaging waste. Specifically, the study employed Ajzen’s Theory of Planned Behavior (TPB) and extended it by integrating Perceived Courier Service Quality (PCSQ) to explain Filipino online sellers’ intentions to reduce overpackaging. Additionally, the study examined the mediating role of TPB constructs in the relationship between PCSQ and these intentions. Quantitative data collected from 182 Filipino online sellers revealed positive intentions among these sellers to reduce overpackaging. Results from the Partial Least Squares – Structural Equation Modeling (PLS-SEM) identified Attitude and …

Extremism Governance In The United Arab Emirates: A Case Study Using Qualitative Policy Framework, Haya Saleh Almansoori

Theses

This thesis investigates how the United Arab Emirates governs extremism using various models of governance and Gareth Morgan’s metaphorical organizational models. This research goes beyond a focus on security and looks at extremism as a governance and policy problem related to social cohesion, institutional trust, and legitimacy. The research utilizes a qualitative case study design through analyzing federal laws and national strategies, as well as institutional frameworks to understand how authority, coordination and meaning are organized in the UAE’s governance of extremism.

The results show that the UAE’s governance of extremism is characterized as a hybrid governance model with hierarchical …

Enhancing It Security Management With An Advanced Intrusion Detection System Based On Machine Learning And Explainable Ai, Hanan Aslam Al Zubaidi

Theses

The fast changing landscape of cyber threats continues to challenge the development of strong and reliable security frameworks for IT management systems. Traditional defense tools, such as Intrusion Detection Systems (IDS), often struggle to keep up with today's advanced and constantly evolving attack methods. This thesis explores these ongoing challenges and looks into how machine learning (ML) and explainable artificial intelligence (XAI) can be used to boost IDS performance.

The research outlines a smart, adaptive system that combines supervised learning for real-time threat detection, unsupervised models for anomaly analysis, and proactive defense strategies. The goal is to improve detection accuracy, …

Comparison Of Alcohol-Induced Hepatoprotective Effects Of The High Fischer Ratio Oligopeptides With/Without Half Substitution By Pueraria Lobata, Yongke Deng, Qin Zhao, Na Chen, Zhiqin Zhang, Jingxuan Wang, Hongbing Fan, Haimei Liu, Lili Zhang

Animal and Food Sciences Faculty Publications

Long-term excessive intake of alcohol can cause serious damage to the liver, and the study of natural active ingredients with hepatoprotective effects is of great significance for the prevention and treatment of alcoholic liver injury. This study explored the ameliorative effects of high F-value oligopeptides (HFOPs) from Chlamys farreri, Pueraria lobata extract (PL), and their complex (HFOPs + PL) on alcoholic liver injury. Results showed HFOPs + PL significantly reduced alanine aminotransferase (ALT) and aspartate aminotransferase (AST) leakage, increased superoxide dismutase (SOD) and glutathione (GSH) activities, and decreased the production of malondialdehyde (MDA) and inflammatory factors in alcohol-induced HepG2 cells. …

The Performance, Energy And Nutrient Utilization, And Bone Mineralization Of Broiler Chickens Fed Corn-Soybean Meal-Based Diets With Reduced Metabolizable Energy, Calcium, And Available Phosphorus Supplemented With Exogenous Enzymes, Megan M. Bauer, Tuoying Ao, Jacqueline P. Jacob, Michael J. Ford, Anthony J. Pescatore, Ronan F. Power, Sunday A. Adedokun

Animal and Food Sciences Faculty Publications

This study evaluated the performance and energy and nutrient utilization of broiler chickens fed corn-soybean meal-based diets supplemented with a naturally fermented enzyme complex containing xylanase and phytase. This was evaluated using 300 one-day-old male Cobb broiler chicks in a randomized complete block design with five dietary treatments replicated 10 times with 6 chicks per replicate. The treatments consisted of a positive control (PC) group containing commercially recommended energy and nutrient levels, a negative control (NC) group with reduced metabolizable energy, calcium, and available phosphorus, and three levels of exogenous enzyme supplementation to the NC diet at 150, 200, 250 …

Exploring Multimodal Large Language Models On Transthoracic Echocardiogram (Tte) Tasks For Cardiovascular Decision Support, Jianfu Li, Yiming Li, Zenan Sun, Evan Yu, Ahmed M Abdelhameed, Weiguo Cao, Haifang Li, Jianping He, Pengze Li, Jingna Feng, Yue Yu, Xinyue Hu, Manqi Li, Rakesh Kumar, Yifang Dang, Fang Li, Shahyar M Gharacholou, Cui Tao

Faculty, Staff and Student Publications

Objective: Multimodal large language models (LLMs) offer new potential for enhancing cardiovascular decision support, particularly in interpreting echocardiographic data. This study systematically evaluates and benchmarks foundation models from diverse domains on echocardiogram-based tasks to assess their effectiveness, limitations and potential in clinical cardiovascular applications.

Methods: We curated three cardiovascular imaging datasets-EchoNet-Dynamic, TMED2, and an expert-annotated echocardiogram (TTE) dataset-to evaluate performance on four critical tasks: (1) cardiac function evaluation through ejection fraction (EF) prediction, (2) cardiac view classification, (3) aortic stenosis (AS) severity assessment, and (4) cardiovascular disease classification. We evaluated six multimodal LLMs: EchoClip (cardiovascular-specific), BiomedGPT and LLaVA-Med (medical-domain), and …

Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, And Multi-Modal Learning, Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To advance biomedical vision language model capabilities through scaling up, fine-tuning, and instruction tuning, develop vision-language models with improved performance in handling long text, explore strategies to efficiently adopt vision language models for diverse multi-modal biomedical tasks, and examine the zero-shot learning performance.

Methods: We developed two biomedical vision language models, BiomedGPT-Large and BiomedGPT-XLarge, based on an encoder-decoder-based transformer architecture. We fine-tuned the two models on 23 benchmark datasets from 6 multi-modal biomedical tasks, including one image-only task (image classification), three language-only tasks (text understanding, text summarization, and question answering), and two vision-language tasks (visual question answering and image …

Colorectal-Specific Radiation Dose And Chemotherapy Risk For Subsequent Colorectal Malignancies In Childhood Cancer Survivors: A Childhood Cancer Survivor Study (Ccss) Report, Constance A Owens, Ethan B Ludmir, Qi Liu, Weiyu Qiu, Aashish C Gupta, Susan A Smith, Bastien Rigaud, Kristy K Brock, James E Bates, Taylor G Meyers, Arnold C Paulino, Christine B Peterson, Stephen F Kry, Jop C Teepen, Cécile M Ronckers, Joseph P Neglia, Wendy M Leisenring, Kevin C Oeffinger, Paul C Nathan, Lucie M Turcotte, David C Hodgson, Melissa M Hudson, Leslie L Robison, Chaya S Moskowitz, Gregory T Armstrong, Tara O Henderson, Yutaka Yasui, Rebecca M Howell

Faculty, Staff and Student Publications

Purpose: Among childhood cancer survivors, we evaluated not previously explored relationships between colorectal subsequent malignant neoplasm (SMN) incidence and colorectum-specific radiation dose metrics currently used in radiation therapy (RT) planning and expanded upon previously reported chemotherapy associations.

Methods: The Childhood Cancer Survivor Study (CCSS) includes 5-year survivors of childhood cancer diagnosed between 1970 and 1999. RT was assessed as mean colorectal dose (MCD) and the percent volume (VX Gy) receiving ≥5, 10, 20, 30, and 40 Gy. Chemotherapy was assessed as cumulative doses for procarbazine and platinum agents, cyclophosphamide-equivalent doses for alkylating agents, and doxorubicin-equivalent doses for anthracyclines. Piecewise-exponential models …

Intentional Creation Of Suboptimal, Realistic Dose Distributions, Skylar S Gay, Mary P Gronberg, Raymond Mumme, Beth M Beadle, Anuja Jhingran, Tze Yee Lim, Zhiqian H Yu, Christine Chung, Meena Khan, Chelsea Pinnix, Sanjay Shete, Brent Parker, Tucker J Netherton, Carlos E Cardenas, Laurence E Court

Faculty, Staff and Student Publications

Background: Radiation oncology residents report a lack of understanding and confidence in assessing radiotherapy plan quality. A contributing factor is the environment in which plan review is taught during residency, that is, routine clinical practice, which does not provide ample time for self-guided practice in a low-stakes setting. Expertise in plan review requires diverse case presentation and many examples, which are often not achievable in smaller programs and for less common cancer types. As plan quality affects patient outcomes, it is important to address these pitfalls in the education of residents on plan review.

Purpose: To address the identified pitfalls …

Probabilistic Template Matching For Detecting Resting-State Functional Mri Language Network In Brain Tumor Patients, Jian Ming Teo, Vinodh A Kumar, Alexander M Khalaf, Kyle R Noll, Sherise D Ferguson, Chibawanye I Ene, Sujit S Prabhu, Max Wintermark, Ho-Ling Liu

Faculty, Staff and Student Publications

Background: Intersubject variation among patients with brain tumors complicates the template matching process for detecting the resting-state (rs) functional MRI (fMRI) language network when using independent component analysis (ICA).

Purpose: This study aimed to develop methods that use a probabilistic language atlas to incorporate intersubject variation in brain tumor patients into the template matching process.

Methods: This retrospective study included 79 patients with brain tumors (average age, 50 ± 15 years) who underwent presurgical task-based (tb)-fMRI and rs-fMRI at clinical 3T scanners. At varying template generation thresholds (τ), binary and probabilistic templates were obtained from the language atlas. A binary …

Continuous Androgen Deprivation Therapy With Or Without Metastasis-Directed Therapy For Oligometastatic Prostate Cancer: The Multicenter Phase 2 Randomized Extend Trial, Alexander D Sherry, Bilal A Siddiqui, Cara Haymaker, Bryan M Fellman, Marina N Medina-Rosales, Tharakeswara K Bathala, Shuqi Wang, Suyu Liu, Aaron Seo, Kieko Hara, Hsinyi Lu, Patricia Troncoso, Stephen G Chun, Chul S Ha, Lauren L Mayo, Henry Mok, Ryan J Park, Brian F Chapin, Ryan M Phillips, Matthew P Deek, Craig A Kovitz, Ana Aparicio, Amado J Zurita, Patrick G Pilie, Lorenzo Cohen, Seungtaek L Choi, Alexandre Reuben, Phuoc T Tran, Paul G Corn, Sumit K Subudhi, Chad Tang

Faculty, Staff and Student Publications

Background and objective: Oligometastatic prostate cancer (omPC) is characterized by limited metastases. We hypothesized that metastasis-directed therapy (MDT) to all sites of omPC combined with androgen deprivation therapy (ADT) would improve clinical outcomes.

Methods: In the multicenter phase 2 EXTEND trial, patients with omPC were randomized 1:1 to ADT versus MDT + ADT in two independently powered and randomized baskets, one using intermittent ADT and one using continuous ADT. The primary endpoint was progression-free survival (PFS). The secondary endpoints included radiologic PFS (rPFS) and castration resistance-free survival (CRFS). Here, the primary results of the continuous ADT basket, the combined analysis …

The 10-Year Status Of Pediatric Gastroenterologists' Perception Of Their Roles In The Management Of Childhood Obesity., Sara Karjoo, Senthilkumar Sankararaman, Fotini Tania Mitsinikos, Marwa Abu El Haija, Sheela Mahendra, Ayesha Baig, Ruba A. Abdelhadi, Ruben E. Quiros-Tejeira, Timothy Sentongo

Manuscripts, Articles, Book Chapters and Other Papers

In 2013, a survey of NASPGHAN members on their involvement in managing pediatric obesity revealed that most pediatric gastroenterologists viewed their roles as primarily supportive, focusing on the management of obesity-related gastrointestinal comorbidities. This 10-year follow-up survey, which targeted pediatric gastroenterology programs and practices, found similar perceptions, along with an increased interest in learning about obesity pharmacotherapy. Additionally, most programs and practices reported limited access to dedicated dietitians, a lack of funding, and a desire for greater institutional support for multidisciplinary programs addressing obesity. Notably, none of the funded programs cited philanthropy as a source of funding. These findings underscore …

Corrigendum To "Single-Cell Proteomic Analysis Reveals Multiple Myeloma Heterogeneity And The Dynamics Of The Tumor Immune Microenvironment In Precursor And Advanced States" [Neoplasia 66 (2025) 1101189], Mohamed Kamal, Stephanie N Shishido, Jeremy Mason, Krina Patel, Elisabet E Manasanch, Robert Z Orlowski, Peter Kuhn

Faculty, Staff and Student Publications

No abstract provided.

Integration Of Genetic And Imaging Data For Alzheimer's Disease Diagnosis And Interpretation, Yanfei Wang, Qing Wang, Minghao Zhou, Jialu Liang, Lei You, Breton Asken, Xiaobo Zhou, Qianqian Song

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by complex interactions between genetic risk factors and structural brain changes. Traditional diagnostic approaches that rely on single-modality data, such as imaging or genomics alone, often fall short in both predictive accuracy and biological interpretability. To address these limitations, AlzCLIP, a novel contrastive learning framework that integrates single nucleotide polymorphism (SNP) profiles and MRI-derived imaging features into a unified embedding space is introduced. This joint representation captures disease-relevant interactions between genetic variation and brain structure, enabling both accurate diagnosis and mechanistic insight into AD. AlzCLIP is trained and evaluated on two …

Data-Driven Abdominal Phenotypes Of Type 2 Diabetes In Lean, Overweight, And Obese Cohorts From Computed Tomography, Lucas W Remedios, Chloe Cho, Trent M Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R Krishnan, Adam M Saunders, Michael E Kim, Shunxing Bao, Alvin C Powers, Bennett A Landman, John Virostko

Faculty, Staff and Student Publications

Purpose: Although elevated body mass index (BMI) is a well-known risk factor for type 2 diabetes, the disease's presence in some lean adults and absence in others with obesity suggests that more detailed measurements of body composition may uncover abdominal phenotypes of type 2 diabetes. With artificial intelligence (AI) and computed tomography (CT), we can now leverage robust image segmentation to extract detailed measurements of size, shape, and tissue composition from abdominal organs, abdominal muscle, and abdominal fat depots in 3D clinical imaging at scale. This creates an opportunity to empirically define body composition signatures linked to type 2 diabetes …

Fontan Circulation And Transplantation: Considerations For The Complex Candidate., Drishti Tolani, Sharon Chen, Edo Bedzra, Kurt R. Schumacher, Shahnawaz Amdani

Manuscripts, Articles, Book Chapters and Other Papers

The Fontan operation has transformed survival for patients with single ventricle congenital heart disease, but the long-term durability of this physiology remains limited. Fontan circulatory failure (FCF) is a progressive, heterogeneous condition associated with multiorgan dysfunction, lymphatic failure, and elevated post-transplant risk when not recognized early. With increasing survival into adulthood, heart transplantation has emerged as the definitive "fourth stage" of palliation. However, referrals for advanced therapies are often delayed, with many patients presenting in advanced stages of decline. This review synthesizes current evidence on the pathophysiology of Fontan failure, outlines consensus indications for transplant evaluation, and highlights pre-transplant strategies …

Study Of 18 F-Fluciclovine Pet For Serial Assessment Of Glioblastoma Tumor Volumes During Surgery And Radiotherapy, Samir A Dagher, Jason M Johnson, Rania M M Mohamed, Shehbaz Ansari, Osama Mawlawi, Ho-Ling Liu, Max Wintermark, Dawid Schellingerhout, Lesley Flynt, Debra N Yeboa, Jeffrey S Weinberg, Sherise D Ferguson, Maria K Gule-Monroe

Faculty, Staff and Student Publications

PURPOSE: Recent evidence supports incorporating 18 F-Fluciclovine PET for glioblastoma treatment planning and monitoring, as it better captures tumor infiltration compared to conventional MRI. However, the relationship between PET- and MRI-defined tumor volumes remains unclear, particularly in the post-treatment setting. This study prospectively compares tumor volumes on MRI and PET at multiple timepoints throughout the treatment course and evaluates volumetric changes with therapy.

METHODS: We prospectively enrolled 8 adults with IDH-wildtype glioblastoma treated with surgery and chemoradiation between September 2019 and 2021. Participants underwent paired 18 F-Fluciclovine PET/CT and conventional MRI at four timepoints: preoperatively, pre-radiation, and at one- and …

Acute Kidney Injury Is Associated With Elevated Urinary Endotrophin, Amanda J Clark, Brenda Mendoza Flores, Marie Christelle Saade, Kyle Q Vu, Isaac J Pence, Ningyan Zhang, Zhiqiang An, Dawei Bu, Philipp E Scherer, Samir M Parikh

Faculty, Staff and Student Publications

Acute kidney injury (AKI) is prevalent among hospitalized patients. Novel biomarkers are needed to diagnose AKI and target therapies. Endotrophin (ETP) is a molecule released during collagen type VI formation that may promote injury and fibrosis. Although serum ETP elevation has been associated with adverse outcomes in AKI, urinary ETP has not been assessed in AKI, nor has ETP been evaluated in a pediatric population. Urine samples were collected from a tertiary children's hospital. Medical records were reviewed, and patients who met criteria were sorted into three categories:

Novel Dynamic Multi-Depth Neutrosophic Coordinate Model For Teaching Performance Analysis In College Electronic Piano Courses With Numerical Examples And A Mathematical Framework, Xinyuan Zhang

Neutrosophic Sets and Systems

No abstract provided.

Structured Α-Neutrosophic Symbolic Conformance: A Formal Design Quality Evaluation Model For Digital Cultural And Creative Products Based On Paper Cutting Art, Fengxia Bi

Neutrosophic Sets and Systems

No abstract provided.

The Impact Of Relative Bridge Width On Highway Crashes In Nebraska, Mujahid Ali Bahadur

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

This research examines how bridge width relative to the approach roadway affects crash occurrence on Nebraska highways. The Nebraska Department of Transportation-(NDOT) Bridge Design Manual sets minimum bridge widths based on roadway classification, traffic projections, and the American Association of State Highway and Transportation Officials’ (AASHTO) Load and Resistance Factor Design (LRFD) criteria. While these guidelines ensure structural and functional adequacy, they do not incorporate safety performance analyses based on crash data. This leaves an important gap in understanding how bridge and approach roadway width decisions influence safety outcomes.

This research has four objectives: (1) evaluate crash frequency across different …

A Practice-Based Framework For Teaching Geography At The Secondary Level, Kyle F. Tredinnick

Department of Geography: Dissertations, Theses, and Student Research

Further work is necessary to carry out the goals set forth in geography education initiatives like the Geography for Life: National Geography Standards and Road Map for 21^st Century Geography Education Project. Methods to communicate the focus of geographic lessons at the secondary level can help guide teachers who are otherwise unaware of the ability for geography to answer questions and develop solutions to problems. Research and development of effective instructional tools to teach geography is needed. This research aims to provide a practice-based model for lesson-development in geography, as supported in academic literature. Input from higher-education faculty …