Digital Commons Network^™

A Model Study On Enhancing The Horizontal Gradient Of Potential Fields With The Vertical Derivative, Luan Thanh Pham, Saulo P. Oliveira, Erdi̇nç Öksüm, Jeferson De Souza

Turkish Journal of Earth Sciences

The total horizontal gradient (THG) and its derivatives are commonly used in interpreting potential fields. Because THG is a nonharmonic function, its vertical derivative (VD) can be consistently computed using, e.g., a finite-difference approximation. The calculation of VD in the wavenumber domain is physically meaningful for harmonic functions, but it provides a pseudovertical derivative (PVD) when applied to nonharmonic fields that can be used in some edge detectors, such as THG. Through experiments with synthetic and field datasets, we evaluated the performance of the PVD of THG in the tilt angle of THG (TAHG) and fast sigmoid-based edge detector (FSED). …

On Reference Accuracy: Clarification Of The Original Data, İrem Eli̇tez, Cenk Yaltirak

Turkish Journal of Earth Sciences

Although it is claimed that the same data was correctly attributed to Alçiçek (2007) in Elitez and Yaltırak (2023), no age data from Alçiçek (2007) were actually used in that study. In fact, the stratigraphic interpretation proposed by Alçiçek (2007) exhibits notable discrepancies with the conclusions presented by Elitez and Yaltırak (2023). Alçiçek (2007) defines the geological units overlying the basement as the Eşen Formation (comprising the Çetilidüz, Çaykenarı, and Kocaçay members) and Quaternary units. Based on the fossil Palaeotragus rouenii, the author suggests that the Neogene succession begins with Late Miocene alluvial-fan conglomerates, sandstones, and mudstones, whereas lacustrine sedimentation …

Citing The Citer: A Way To Claim Original Data, Mehmet Ci̇hat Alçi̇çek

Turkish Journal of Earth Sciences

In Elitez and Yaltırak (2024, p. 3), the “Upper Miocene” age data for the Eşen Basin fill is cited from Elitez and Yaltırak (2023). However, in that work, the same data was correctly attributed to Alçiçek (2007), which is the original source. Citing a secondary source instead of the original one is avoided in scientific writing. This letter aims to correct this citation practice.

A Comprehensive Deep Learning System With Mgrf Modeling For Predicting Breast Cancer Response To Neoadjuvant Chemotherapy, Ahmed Sharafeldeen, Fatma Taher, Norah Saleh Alghamdi, Eman Alnaghy, Reham Alghandour, Khadiga M. Ali, Sameh Shamaa, Abdelrahman Gamal, Mohammed Ghazal, Sohail Contractor, Ayman El-Baz

All Works

Accurate prediction of breast cancer (BC) response to neoadjuvant chemotherapy (NAC) is critical for tailoring treatment strategies and improving patient outcomes. This study introduces a novel deep learning-based framework that integrates multi-parametric magnetic resonance imaging (MRI) (i.e., T1, T2, STIR, and DWI), along with clinical and molecular subtype markers, to classify tumor response into pathological complete response (pCR), partial response (PR), and stable disease (SD). First, tumor regions are delineated across MRI modalities and then modeled using a translation-invariant Markov-Gibbs random field (MGRF) with analytical parameter estimation to capture modality-specific spatial appearance patterns correlated with NAC response. Subsequently, diffusion-weighted MRI …

Collaborative Class Zine: Weekly Reflection Assignment With Powerpoint Template, Brett Whysel

Open Educational Resources

Abstract

This collaborative class zine assignment uses a shared PowerPoint format to deepen student learning while building community. Students contribute visual reflections (graphics, diagrams, quotes, or doodles) weekly or periodically throughout the semester. Faculty provide reflection prompts about key takeaways and unclear concepts (sample prompts included). The resource includes both sample LMS instructions and a ready-to-use PowerPoint zine template that works across all disciplines. By combining metacognitive reflection with creative expression, students consolidate learning by finding new connections and applications. The collaborative format creates community connections and joy while students learn from peers' diverse perspectives.

A Longitudinal Analysis Of Morphological Shape Variation Of Spleen In Patients With Fontan Surgery, Varatharajan Nainamalai, Håvard Bjørke Jenssen, Mostafa Rezaeitaleshmahalleh, Djinaud Prophete, Jordan Gosnell, Sarah Khan, Marcus Haw, Jingfeng Jiang, Joseph Vettukattil

Michigan Tech Publications

Background: Splenic size serves as a surrogate biomarker for predicting portal vein hyper-tension and liver abnormalities in subjects with Fontan Associated Liver Disease (FALD). We analyze the long-term shape variation of the spleen in FALD subjects using morphological shape features of radiomic features. Methods: We used 154 (84 from computed tomography and 70 from magnetic resonance) image volumes obtained from 36 individuals who underwent stage 3 Fontan procedure and 145 computed tomography images from controls to assess splenomegaly. To understand the splenomegaly, thirteen shape features of the spleen over three 10-year intervals, and variations between controls and FALD subjects were …

From Glory To Glory: The Analogy Of Being In The Thought Of Karl Barth And Hans Urs Von Balthasar, Philip Micele

Seton Hall University Dissertations and Theses (ETDs)

In response to Karl Barth’s rejection of the analogia entis as “the invention of the Antichrist,” Erich Przywara insists that the great Protestant theologian’s criticisms are essentially of no avail, “because for him this biblical Christianity came, in fact, to assume the shape of a system of ‘ever greater dissimilarity,’ which is to say it fell under the spell of the very analogy he sought to flee.”[1] Przywara further stresses that “it is precisely in the analogy, understood as the ‘analogy of ever greater dissimilarity,’ that God is mighty and declares himself – the God who, ‘if you comprehend …

Factors Influencing The Transition To Renewable Energy In Small- To Mid-Sized American Communities, Hanan Wehbi, Nathan Kemper

Environmental Dynamics Faculty Publications and Presentations

Background The transition to renewable energy is essential for addressing climate change and fostering sustainable communities. This involves planning and determining where, when, and how to deploy renewable energy technologies. This requires supportive policies and regulations to accommodate renewable energy sources and manage impact, as well as engagement with local communities and stakeholders to secure their support and participation in the transition process. Methods This study evaluates the impact of governance at various levels-community, county, and state-on renewable energy adoption in 87 small- to mid-sized U.S. communities with populations below 100,000. Using a multi-faceted analytical approach, this research reviews comprehensive …

A Multi-Proxy Reconstruction Of Environmental Conditions During Termination 1 In Central New Hampshire, Anne Hannah Randall

Dartmouth College Master’s Theses

The collapse of the Northern Hemisphere ice sheets subsequent to the Last Glacial Maximum (~26-19 ka) marked one of the largest natural climate change events in recent time. In response to global warming, the Laurentide Ice Sheet (LIS), the ice sheet that covered much of northern North America, receded almost completely during a time known as “Termination 1” (~19-11 ka). The climate changes during this time also caused significant changes in landscape morphology, ecology, and the lifeways of indigenous peoples. This project characterizes the timing of deglaciation and major post-glacial landscape changes across New Hampshire using lake sediment cores. I …

An Explanation Of African American Males' Experiences And Decisions In The Pursuit Of Doctoral Degrees, Vincent L. Tucker

Walden Dissertations and Doctoral Studies

There was a limited understanding of the lived experiences of African American males who had completed their doctoral degrees, which could provide solutions to the barriers faced by those did not complete the doctoral program. Elements of critical race theory, Vroom’s expectancy theory, and Herzberg’s theory of motivation were combined into a single conceptual framework to understand the barriers experienced by African American men that prevented them from pursuing and completing doctoral programs. The data analysis process included a pre-coding exercise conducted after data collection to identify patterns or commonalities between the two sets of data. The results from this …

Three-Stage Latent Dynamics Forecasting (T-Ldf) Framework For Shenzhen Metro Passenger Flow Prediction, Tianze Zhang

Lingnan Theses (MPhil & PhD)

Accurate forecasting of metro passenger flow is vital for efficient urban transportation management and optimal resource allocation in modern cities. Traditional ARIMA-based models effectively capture regular, cyclical patterns but struggle with sudden, nonlinear fluctuations caused by random events such as weather disruptions, special events, or service interruptions. Moreover, existing research predominantly focuses on individual stations, overlooking the complex cross-station interactions inherent in networked metro systems where passenger flows are interconnected across the entire network.

To address these critical limitations, we propose the Three-Stage Latent Dynamics Forecasting (T-LDF) Framework, a novel approach that systematically integrates temporal decomposition, latent dynamics extraction, and …

Fundamental Exploration Of Soot Formation And Morphology From A Molecular Modeling Perspective, Khaled Mosharraf Mukut

Dissertations (1934 -)

Soot formation remains one of the least understood phenomena in combustion science, posing significant challenges due to its complex physicochemical nature and considerable environmental and health impacts. This dissertation presents a comprehensive molecular-level investigation into the fundamental mechanisms governing soot inception, particle growth, and morphological evolution through state-of-the-art reactive molecular dynamics (RMD) simulations of acetylene pyrolysis. A novel computational analysis utility, Molecular Arrangement and Fringe Identification and Analysis from Molecular Dynamics (MAFIA-MD), was developed to accurately characterize soot particle formation, providing detailed insights into chemical composition, internal structure, and surface characteristics. Critical physicochemical markers defining the boundary between gas-phase species …

The Enduring Significance Of Nuanced Ideological Voting In The Supreme Court Of Canada, C. L. Ostberg, Matthew E. Wetstein

Osgoode Hall Law Journal

THE CHARTER REVOLUTION IN CANADA has ushered in a new era of politics on the Supreme Court of Canada that places the Court at the centre of controversial policy questions that are fundamental to a democratic society. Through its early Charter rulings, the Court advanced a host of rights and liberties claims resulting in the charge that it had become far more activist. This shift exemplifies a broader pattern occurring across high courts around the world in the late twentieth century that some scholars describe as the growing judicialization of politics. The Court’s increased role in reviewing government policy has …

What Happened To The Creative In The Creative Curriculum?, Lacey Peters, Mark K. Nagasawa, Maria Mavrides Calderon, Abigail Kerlin, Helen Frazier, Beth Ferholt, Erica Clarke Yardy, Margie Brickley, Alisa Algava

Straus Institute for Thriving Children & Families

This empirically-grounded commentary questions the basis for New York City Public Schools’ (NYCPS) adoption of the Teaching Strategies products—the Creative Curriculum (CC) and Teaching Strategies GOLD—as the mandated curriculum and assessment systems for early childhood education (ECE) programs administered by the New York City Public Schools. In an analysis shaped by our hybrid positionalities as early childhood educators, parents, policy makers, and researchers, we argue that this decision is a local case of neoliberalism’s simultaneous narrowing of educational quality and a transfer of public funding into private hands under the guise of the free market. Our commentary, …

An Exploratory Analysis Of U.S. Academically Intensive Charter Schools (Aics), Robert Maranto, Jamison White, Sean Woytek

Education Reform Faculty and Graduate Students Publications

Considerable amounts of research have discussed "No Excuses" charter schools preparing traditionally disadvantaged students for higher education. Yet, no scholarly work has identified or investigated U.S. academically intensive charter schools (AICS) that were founded to enable students to excel academically as much as their abilities and efforts allow. Here, we offer an exploratory study of AICS, defining them, describing the lived experience of an AICS principal, presenting the first national data comparing AICS campus and student characteristics to those of other charter schools, and assessing whether, nationally, AICS succeed on their own terms, with relatively high academic achievements. The data …

A Molecular Dynamics Study Of Single Crystal And Intergranular Crack Growth Behavior In WX M1−X Binary Aloys (M = V, Mo, Ta, Re), Samuel C. Wagers, Adib J. Samin

Faculty Publications

This study employs molecular dynamics simulations to investigate the fracture behavior of four binary refractory alloys W_xM_1−x (M = V, Mo, Ta, Re) and their dependence on crystallographic orientation, composition, and grain boundary (GB) structure, focusing on six distinct low-sigma grain boundaries. The simulations reveal that the effect of composition is complex with the most pronounced effect, accompanied by the maximum or minimum stress intensity factor, generally occurring at intermediate compositions. All compositions showed a higher fracture resistance in the [110] orientation compared to the [100] orientation. There was a strong thermodynamic tendency for Mo and V, …

The Effect Of Transformer Based Pre-Trained Language Models On Biomedical Relation Extractions, Eman Saad, Sherif Kishk, Amr Ali-Eldin, Ahmed I. Saleh

Mansoura Engineering Journal

Biomedical relation extraction represents a critical advancement in healthcare research. As the volume of biomedical publications continues to grow exponentially, efficient extraction of entity relationships has become essential for accelerating knowledge discovery, drug development, and precision medicine initiatives. The field has evolved from focusing on simple binary relations, such as Protein-Protein Interactions (PPI), which are fundamental to understanding cellular processes and therapeutic development, to addressing more complex multi-class classification challenges like Drug-Drug Interactions (DDI) and Chemical-Protein Interactions (CPI).Pre-trained language models have become the cornerstone of modern approaches of extracting biomedical relations. Models like BioBERT, PubMedBERT, and SciBERT, along with general-purpose …

Strengthening Scientific Integrity: Digital Forensics For Biomedical Research Imaging, João Phillipe Cardenuto, Daniel Moreira, Anderson Rocha

Computer Science: Faculty Publications and Other Works

To fight against the increasing misconduct cases in science, this Ph. D. research confronted the challenge of scientific integrity with a pioneering investigation into digital forensic analysis specifically tailored for biomedical images. This work conducted extensive research into key manipulation types–copy-move forgery, image reuse, and AI-generated content–developing novel, fully explainable, and auditable computational detection methods for each. In a commitment to transparency and to promote research to the area, these techniques are provided as open-source resources. Besides the isolated techniques for each type of image forged, a central contribution is the development of an end-to-end system, created through collaboration with …

Improving Multilingual Competence In Higher Education: An Integrated Framework For Parallel Learning Of Two Foreign Languages, Aiym Kontek, Albina Dossanova, Galiya Kulzhanbekova

Higher Learning Research Communications

Objectives: The study aims to create a comprehensive framework for the effective organization of parallel teaching of two foreign languages in higher education in Kazakhstan, accounting for linguistic, psychological, didactic, and technological aspects.

Methods: We used theoretical (modeling, analysis, and generalization) and empirical methods (pedagogical experiment, testing, questionnaires, and methods of mathematical statistics) in the research. An original structural and content model of parallel learning was developed, including interrelated blocks for the integrated formation of speech activity skills and a lexico–grammatical base in each of the languages. The effectiveness of the proposed model was confirmed during the pedagogical experiment, which …

A Model Intercomparison Study Of Aerosol-Cloud-Turbulence Interactions In A Cloud Chamber: 1. Model Results, Sisi Chen, Steven K. Krueger, Piotr Dziekan, Kotaro Enokido, Theodore Macmillan, David Richter, Silvio Schmalfuß, Shin Ichiro Shima, Fan Yang, Jesse C. Anderson, Will Cantrell, Dennis Niedermeier, Raymond Shaw, Frank Stratmann

Michigan Tech Publications

This study presents the first model intercomparison of aerosol-cloud-turbulence interactions in a controlled cloudy Rayleigh-Bénard Convection chamber environment, utilizing the Pi Chamber at Michigan Technological University. We analyzed simulated cloud chamber-averaged statistics of microphysics and thermodynamics in a warm-phase, cloudy environment under steady-state conditions at varying aerosol injection rates. Simulation results from seven distinct models (DNS, LES, and a 1D turbulence model) were compared. Our findings demonstrate that while all models qualitatively capture observed trends in droplet number concentration, mean radius, and droplet size distributions at both high and low aerosol injection rates, significant quantitative differences were observed. Notably, droplet …

Zeus: Zero-Shot Llm Instruction For Union Segmentation In Multimodal Medical Imaging, Siyuan Dai, Kai Ye, Guodong Liu, Haoteng Tang, Liang Zhan

Computer Science Faculty Publications

Medical image segmentation has achieved remarkable success through the continuous advancement of UNet-based and Transformer-based foundation backbones. However, clinical diagnosis in the real world often requires integrating domain knowledge, especially textual information. Conducting multimodal learning involves visual and text modalities shown as a solution, but collecting paired vision-language datasets is expensive and time-consuming, posing significant challenges. Inspired by the superior ability in numerous cross-modal tasks for Large Language Models (LLMs), we proposed a novel Vision-LLM union framework to address the issues. Specifically, we introduce frozen LLMs for zero-shot instruction generation based on corresponding medical images, imitating the radiology scanning and …

Unlocking Efficiency In Real-World Collaborative Studies: A Multi-Site International Study With One-Shot Lossless Glmm Algorithm, Jiayi Tong, Chongliang Luo, Et Al.

2020-Current year OA Pubs

The widespread adoption of real-world data has given rise to numerous healthcare-distributed research networks, but multi-site analyses still face administrative burdens and data privacy challenges. In response, we developed a Collaborative One-shot Lossless Algorithm for Generalized Linear Mixed Models (COLA-GLMM), the first-ever algorithm that achieves both lossless and one-shot properties. COLA-GLMM ensures accuracy against the gold standard of pooled data while requiring only summary statistics and completes within a single communication round, eliminating the usual back-and-forth overhead. We further introduced an enhanced version that employs homomorphic encryption to reduce the risks of summary statistics misuse at the coordinating center. The …

Data Please!: Expanding The Role Of Libraries In Data Science Through Digital Scholarship, Halie Kerns

Library Scholarship

Objective: As data science becomes more integrated into research and teaching, libraries are well-positioned to support this work. This study examines how a digital scholarship team at Binghamton University enhanced engagement with data science by assessing faculty, staff, and graduate student needs. Through focus group interviews, the study identifies key support gaps and outlines strategic initiatives to strengthen interdisciplinary data science programming within the library.

Methods: A qualitative approach was used, involving 26 focus group interviews with faculty, staff, and graduate students across STEM and related fields. Participants discussed their data science work, tools, training, and perceived resource …

Research On Policy Representation In Deep Reinforcement Learning, Zhen Chen, Zhuoyi Wu, Lin Zhang

Journal of System Simulation

Abstract: Deep reinforcement learning (DRL) has achieved remarkable success in various domains. Nevertheless, existing policy networks in DRL still face significant challenges in areas such as generalizability, multi-task adaptability, and sample efficiency. Policy representation, as a crucial research direction for enhancing DRL capabilities, aims to improve an agent's adaptability to environmental changes and novel tasks by constructing more efficient and generalizable forms of policy expression. This paper provided a concise overview of key research advances in the field of policy representation. It introduced diverse policy architectures, ranging from traditional multi-layer perceptron (MLP) -based policies to those based on pointer networks, …

A Cancer Education Needs Assessment: Informing Middle-Aged Female Patients About The Relationships Between Obesity And Women’S Health Concerns In The Reproductive System, Breast, And Endometrial Health, Batul Mirza

MUSC Theses and Dissertations

Obesity significantly impacts women’s health, particularly among middle-aged women, by increasing the risk of hormone-sensitive cancers such as breast, endometrial, and reproductive system cancers. This study examines the educational needs of this demographic group regarding obesity-related cancer risks and explores effective intervention strategies. Obesity-induced mechanisms – hormonal imbalances, chronic inflammation, and insulin resistance – drive cancer susceptibility, emphasizing the need for targeted health education. The study employs a qualitative design, which includes interviews with subject matter experts (SMEs) and surveys of middle-aged women. The goal is to assess awareness, perceived barriers, and preferred learning methods. Findings suggest that with many …

Semiparametric Learning Of Integral Functionals On Submanifolds, Xiaohong Chen, Wayne Yuan Guo

Cowles Foundation Discussion Papers

This paper studies the semiparametric estimation and inference of integral functionals on submanifolds, which arise naturally in a variety of econometric settings. For linear integral functionals on a regular submanifold, we show that the semiparametric plugin estimator attains the minimax-optimal convergence rate n—s2s+d-m, where s is the Hölder smoothness order of the underlying nonparametric function, d is the dimension of the first-stage nonparametric estimation, m is the dimension of the submanifold over which the integral is taken. This rate coincides with the standard minimax-optimal rate for a (d − m)-dimensional nonparametric estimation problem, illustrating that integration over the …

Evaluation Of The Energy And Timing Resolution Of Cerium Bromide Detectors For Nuclear Applications, Madyson C. Hickman

Physics and Astronomy Summer Fellows

We tested the timing and energy resolution of cerium bromide (CeBr₃) detectors for use in the CeBrA array of gamma-ray detectors in the John D. Fox lab at Florida State University. Using different sources, we calibrated energy spectra and analyzed FWHM values to determine the energy resolution. Timing resolution from a ⁶⁰Co source was measured using coincident gamma rays from the sources. Our results showed the expected energy dependence and confirmed that the detectors meet performance standards.

Cerium Bromide Detectors: Measuring Efficiencies For Gamma Ray Detection, Ewan Chattin

Physics and Astronomy Summer Fellows

This Summer we have had access to 9 Cerium Bromide Gamma Ray detectors, which we have conducted various tests on to ensure a smooth transition when they are integrated into the Cerium Bromide Array(CeBrA) at Florida State University. One of the goals we pursued was mapping out the Full Energy Peak Efficiency for each of the detectors, which is described below. While the results we have right now are not our final ones, we can describe the trends that we see in the detectors accurately. This work is supported by National Science Foundation Grant No. 2405485.

A Web Application For Generating Argument Maps For Essays Using Llms, Alexis R. Chalmers

Theses

Argumentative writing is a critical skill that strengthens students’ reasoning, communication, and analytical abilities. However, maintaining a clear and organized argument structure while writing can be challenging. Argument maps — visual diagrams which explicitly show an argument’s structure — have been shown to improve students’ writing, but are rarely used outside of the planning stage of an essay due to the time and effort required to create them. Automatically generating argument maps from student essays helps students to evaluate the structure of their argument as they write and makes identifying unsupported claims visible. To evaluate whether large language models (LLMs) …

Novel Tools And Datamining Techniques To Visualize And Interpret Historical Sugarcane Datasets, Zachary A. Taylor

LSU Master's Theses

Heritable genetic variation is an essential raw ingredient of variety development programs. This variation is acted upon via selection by identifying elite progeny that can be utilized agronomically or exploited as parents. Sugarcane breeders are tasked with creating optimal genetic variation through crossing. Prior knowledge of pedigree and parental performance allows breeders to discern which crosses to prioritize, since the time to make crossing decisions and the space to evaluate tens and thousands of progenies are both limited resources in sugarcane variety development programs. In this project, we have updated and validated the U.S. sugarcane pedigree …