Digital Commons Network^™

First Evidence Of Plastic Ingestion By Red-Billed Tropicbirds Phaethon Aethereus From St. Eustatius, Caribbean Netherlands, Hannah Madden, Eline Eggermont

Marine Ornithology

We present the first confirmed evidence of plastic ingestion by a Red-billed Tropicbird on the Caribbean Netherlands island of St. Eustatius, which supports a regionally important nesting population. With our observations, all species of tropicbird have now been documented ingesting marine plastic pollution.

Masthead, Pacific Seabird Group

Marine Ornithology

No abstract provided.

Retracted: Solving Time-Fractional Nonlinear Variable-Order Delay Pdes Using Feedforward Neural Networks, Hala S. Alruhaili, Adel S. Hussain, Abdullah M. S. Ajlouni, Funda Türk, Emad A. Az-Zo’Bi, Mohammad A. Tashtoush

Iraqi Journal for Computer Science and Mathematics

This study presents an innovative application of Feedforward Neural Networks ‘FNNs’ to solve Variable-Order Fractional Partial Differential Equations ‘VO-FPDEs’ with time delays. Utilizing the Caputo definition, the variable-order fractional derivatives are approximated in terms of integer-order derivatives. The problem is reformulated as a system of partial differential equations with delay terms, which is then addressed using ‘FNNs’ to achieve explicit approximate solutions. Comprehensive error and convergence analyses validate the method’s precision and reliability. The effectiveness of the proposed approach is highlighted through numerical examples, with graphical and tabular representations showcasing minimal absolute errors and robust convergence. These results demonstrate the …

The Future Of Intelligent Industrial Systems: Plc, Node-Red, And Iot/Iiot, Firas Ahmed Hussein, Mohammad Tariq Yaseen, Mohammed Obaid Mustafa

AUIQ Technical Engineering Science

Integrating Programmable Logic Controllers (PLCs) with Node-RED and IoT/IIoT has emerged as a transformative technique for developing intelligent industrial systems as industrial automation improves. This narrative review brings together more than 70 research sources on industrial PLC, Node-RED, IoT, and IIoT applications. Case studies, experimental implementations, and industry reports are used to discover trends, challenges, and opportunities. The review focuses on three main topics: PLCs in modern industrial systems and their evolution and integration with IoT/IIoT; Node-RED as a middleware for industrial automation and its ability to connect PLCs to cloud and edge computing; and IIoT and smart manufacturing and …

The High Burden Of Depression, Anxiety, And Stress Among University Students In Southern Iraq: A Cross-Sectional Study, Hassan Al-Karagoly, Zahraa Al-Attar, Hjar Al-Asadi, Sajad Al-Lahibi, Russul Al-Fartousi, Teeba Al-Jadry, Menatallah Bali, Baneen Al-Hasnawi, Hanan Al-Aboudi, Zainab Al-Fadliu, Ali Al-Mosawi, Zahraa Al-Aboudi, Qassim Al-Rubaie, Mohsin Al-Samawi, Abdulsalam Halboup

AUIQ Complementary Biological System

University students often face significant academic, social, and environmental pressures, making them particularly vulnerable to psychological distress. Despite this, there is limited evidence regarding the prevalence and associated factors of mental health problems among university students in Iraq. Therefore, this study aimed to assess the prevalence and severity of depression, anxiety, and stress in this population and to examine their associations with sociodemographic characteristics, insomnia, internet use, and physical activity. A cross-sectional study was conducted among Iraqi university students using a structured questionnaire, including the DASS-21, Insomnia Severity Index, and Internet Addiction Test. Descriptive and inferential statistics were used to …

Detecting Android Malware Based On Static Analysis Using Classification And Modified Clustering Techniques, Abdullah Allawi Al-Sraratee, Ahmed Habeeb Al-Azawei

Journal of Intelligent Informatics, Networking, and Cybersecurity

Because Android malware harms internet security, prior research proposes several different approaches to detect it accurately. However, such proposed models depend on numerous number of features to attain high accuracy. This could lead to high computation cost and potential overfitting. Furthermore, manual data labeling is labor-intensive, requiring significant human effort and skills. This research aims to: 1) extend previous literature on Android malware detection, 2) improve the accuracy of Android malware detection based on a low number of features, and 3) modify a clustering technique to group data into two different clusters to address the issue of unlabeled data. To …

An Exploration Of Response Bias And Their Impact On Self-Report Psychopathology: The Mmpi-A Response Bias Measures, Ashley Messinger

ETD Collection

No abstract provided.

The Minutes Of The Marshall University Staff Council Meeting, July 2025, Marshall University Staff Council

Staff Council Minutes

No abstract provided.

Attachment Style Moderating The Relationship Between Risk Perception And Adoption Of Precautionary Dating Behaviors, Sophie Leser

ETD Collection

No abstract provided.

A Study On Graduate Students Motivations To Conduct Psychological Evaluations For Asylum Seekers And The Asylum Project Program Evaluation, Anabel Castillo

ETD Collection

No abstract provided.

Electrochemically-Assisted Low Power Density Laser Writing On Stainless Steel Via Enrichment Of Chromium Oxides, Zechariah Pfaffenberger, Lianlian Liu, Tae Kyong John Kim, Vignesh Venkataramani, Lydia Kisley

Faculty Scholarship

Laser color marking produces nearly permanent, environmentally friendly, vibrant colors on surfaces. However, previous work has used high-power-density pulsed lasers to induce the physicochemical reactions for marking. Here, laser color marking on stainless steel 304 (SS304) is performed with a less expensive continuous wave (CW) laser and a power density five orders of magnitude below that previously reported by combining an electrochemical cell with a fluorescence microscope. Using a combination of optical microscopy, x-ray photoelectron spectroscopy, and bulk electrochemistry, it is demonstrated that the laser-induced luminescence and colors are due to enrichment (32 ± 9% increase) of Cr2O3 in the …

The Environmental Law Clinic At Pontificia Universidad Católica De Perú (Pucp): Advancing Justice And Education In Latin America, Andrea Dominguez, Emilia Saenz

Maryland Journal of International Law

No abstract provided.

Global Supply Chain Regulations Protecting Human Rights: Foreign And Domestic Regulatory Efforts To Create Supply Chain Due Diligence, Gregory Deyesu

Maryland Journal of International Law

No abstract provided.

Identity Entanglement In Transnational Body Horror Cinema, Jessica Hughes

Staff Scholarship - Australia & Dubai

This paper will examine Coralie Fargeat’s The Substance (2024) within the context of transnational body horror films, arguing that its power lies in its ability to entangle audiences in themes of identity fragmentation. The Substance, echoing work by filmmakers including David Cronenberg, Pedro Almodóvar, and Takashi Miike, depicts the disturbing erosion of self through visceral transformations and psychological disintegration. By analysing Fargeat’s

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recent film alongside earlier films such as Videodrome (1983), The Skin I Live In (2011), and Audition (1999), this paper demonstrates how body horror, despite diverse origins, shares a preoccupation with blurring self/other boundaries. Drawing on Blasi’s …

Carbon Sequestration Potential Of Urban Tree Species: A Case Study From Porbandar, India, Himanshu Vandariya, Jay Ulva, Kunal N. Odedra, Jenish Bamaniya, B. A. Jadeja Dr.

Cities and the Environment (CATE)

Urban ecosystems are integral to climate change mitigation through carbon sequestration. This study quantifies the carbon sequestration potential of 40 tree species at M.D. Science College, Porbandar, Gujarat, employing non-destructive methodologies. Key biometric parameters, including height, diameter at breast height (DBH), and biomass, were analysed to estimate carbon storage and CO₂ sequestration. The dataset reveals significant inter-species variations, with Ficus benghalensis leading in sequestration capacity, storing 1221.08 kg of carbon and sequestering 4476.84 kg of CO₂ per tree annually. Conversely, low biomass species such as Ziziphus mauritiana exhibit limited sequestration rates, highlighting a broad spectrum of ecological roles. tatistical analyses …

Using Confidence Scores To Improve Eyes-Free Detection Of Speech Recognition Errors, Sadia Nowrin, Keith Vertanen

Michigan Tech Publications

Conversational systems rely heavily on speech recognition to interpret and respond to user commands and queries. Despite progress on speech recognition accuracy, errors may still sometimes occur and can significantly affect the end-user utility of such systems. While visual feedback can help detect errors, it may not always be practical, especially for people who are blind or low-vision. In this study, we investigate ways to improve error detection by manipulating the audio output of the transcribed text based on the recognizer's confidence level in its result. Our findings show that selectively slowing down the audio when the recognizer exhibited uncertainty …

Identifying The Desired Word Suggestion In Simultaneous Audio, Dylan Gaines, Keith Vertanen

Michigan Tech Publications

We explore a method for presenting word suggestions for non-visual text input using simultaneous voices. We conduct two perceptual studies and investigate the impact of different presentations of voices on a user's ability to detect which voice, if any, spoke their desired word. Our sets of words simulated the word suggestions of a predictive keyboard during real-world text input. We find that when voices are simultaneous, user accuracy decreases significantly with each added word suggestion. However, adding a slight 0.15 s delay between the start of each subsequent word allows two simultaneous words to be presented with no significant decrease …

Perceptions Of Blind Adults On Non-Visual Mobile Text Entry, Dylan Gaines, Keith Vertanen

Michigan Tech Publications

Text input on mobile devices without physical keys can be challenging for people who are blind or low-vision. We interview 12 blind adults about their experiences with current mobile text input to provide insights into what sorts of interface improvements may be the most beneficial. We identify three primary themes that were experiences or opinions shared by participants: the poor accuracy of dictation, difficulty entering text in noisy environments, and difficulty correcting errors in entered text. We also discuss an experimental non-visual text input method with each participant to solicit opinions on the method and probe their willingness to learn …

2025 July 17 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Computational Thinking As A Novel Framework For Enhancing Cognitive Organization In Older Adults With Cognitive Frailty (Letter To The Editor), Daisuke Akiba

Publications and Research

As aging populations grow, especially in high-income nations, the burden of dementia-related care continues to escalate both economically and socially. In response, this article introduces Computational Thinking (CT) as a novel, non-pharmacological framework to support cognitive organization in older adults experiencing cognitive frailty. Though CT has gained traction in fields like PK-16 education, including special education, for enhancing executive function and problem-solving, it has not yet been applied to geriatric- or memory-care contexts. This perspective proposes that CT’s core components (i.e., decomposition, pattern recognition, abstraction, and algorithmic thinking) may align with residual cognitive strengths in mild-to-moderate dementia, offering a strengths-based, …

Conquer And Prevail Issue 192 July 17 2025, Wofford College. Office Of Marketing And Communications

Conquer and Prevail Newsletter

No abstract provided.

Urban Tree Committees Of New England, Usa: Describing Past, Present, And Future Regional Trends, Alicia F. Coleman, Danica Doroski, Richard W. Harper, Alexander J. Elton, Eli Grigorian, Eric E. Griffith

Cities and the Environment (CATE)

In the United States, grassroots responses have emerged to supplement urban forest management efforts traditionally led by local, county, and federal governments. Urban tree committees are one such grassroots response, whose service exists between a formalized organization and ad-hoc task force. While past research has described the roles and responsibilities of various urban forest management actors, no studies have previously established a baseline understanding of regional urban tree committees, including the membership of paid and volunteer committees, their programming and educational initiatives, and key audiences. In this study, we distributed a participant survey to all known urban tree committees of …

Developing A Stochastic Rupture Model Catalog For Earthquakes With Magnitudes Of Seven Or Greater Along The Alaskan Subduction Zone, Alexandru Mihai Lapadat

Geosciences

Alaska represents one of the most seismically active regions in the Ring of Fire and world impacted by large-magnitude (Mw > 6.5) earthquake events, posing significant risks to local communities and infrastructure, but also distant populations due to the associated tsunami hazard. However, limited seismo-geodetic datasets hinder the understanding of the slip kinematics of megathrust earthquakes in the Alaskan subduction zone, complicating the estimation of future earthquake probabilities, surface displacements, and the design of a GNSS-aided Earthquake Early Warning (EEW) system. This research contributes an extensive synthetic rupture model catalog for the Alaskan subduction zone, generated using the stochastic methodology of …

Bridging The Mind And Body: Functional Neurologic Symptom Disorder Following Sexual Trauma In An Adolescent Girl, Ariel E. Sosa Gomez, Daniel Gutierrez

School of Medicine Publications

Functional neurologic symptom disorder (FNSD) is a multifaceted condition that can present with neurologic symptoms inconsistent with recognized neurological disease, often in the context of psychosocial stressors, though these are not required for diagnosis. We report the case of a 12-year-old Hispanic female who developed episodes of limb paralysis, motor unresponsiveness, and self-injurious behaviors following a history of sexual abuse by a family member. Despite the initial absence of depressive symptoms, the patient later met criteria for major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). Her neurological symptoms lacked identifiable medical findings, following unremarkable results from comprehensive blood work, …

Recent Advances In Modelling Of Frost Formation For Mechanical Systems, Yong Tao

Mechanical Engineering Faculty Publications

The physics underlying frost and ice formation has been extensively studied over the past few decades, with significant contributions to our understanding of this phenomenon. These insights have primarily been applied to engineering systems with refrigerated surfaces, such as refrigerators, freezers and heat pumps of various sizes. Despite considerable progress, the dynamic and complex mechanisms governing frost and ice formation remain an active area of research, as competing factors continue to challenge predictive accuracy. The increasing interest from stakeholders in reducing energy consumption and carbon footprints in mechanical systems further underscores the importance of advancing modelling and simulation capabilities in …

Super-Resolution Stimulated X-Ray Raman Spectroscopy, Kai Li, Christian Ott, Marcus Agåker, Phay J. Ho, Gilles Doumy, Alexander Magunia, Marc Rebholz, Marc Simon, Tommaso Mazza, Alberto De Fanis, Thomas M. Baumann, Jacobo Montano, Nils Rennhack, Sergey Usenko, Yevheniy Ovcharenko, Kalyani Chordiya, Lan Cheng, Jan Erik Rubensson, Michael Meyer, Thomas Pfeifer, Mette B. Gaarde, Linda Young

Faculty Publications

Propagation of intense X-ray pulses through dense media has led to the observation of phenomena such as atomic X-ray lasing^1,2, self-induced transparency³ and stimulated X-ray Raman scattering (SXRS)⁴. SXRS has been long predicted as a means to launch and probe valence-electron wavepackets and as a building block for nonlinear X-ray spectroscopies^5,6. However, experimental observations of SXRS to date^4,7,8 have not provided spectroscopic information, and theoretical modelling has largely implemented hard-to-realize phase-coherent attosecond pulses. Here we demonstrate SXRS with spectroscopic precision, that is, detection of valence-excited states in neon with a near Fourier-limited …

Quantum Memory, Isabel Martinez-Robles

Physics and Astronomy Summer Fellows

Isolated quantum systems are almost always observed to achieve thermal equilibrium in experiments. Understanding cases where they do not thermalize, and therefore retain memory about the initial state, could lead to the development of a quantum memory. We excite atoms in a magneto-optical trap, where they are cold enough to treat as stationary. In our experiment, our atoms exchange energy via dipole-dipole interactions and fail to thermalize. We present a theoretical and computational analysis that suggests that our system starts in an exceptional initial state.

Cover

Louisiana Law Review

No abstract provided.

Diffusion Model For Medical Image Denoising, Reconstruction And Translation, Wei Wang, Shuo Li

Faculty Scholarship

Diffusion models, as a class of generative models, have demonstrated significant performance in image generation since their inception. The fundamental principle behind diffusion models is the definition of a forward process and a reverse process. The input data is progressively perturbed by adding random noise during the forward process, and the expected noise distribution is learned. In the reverse process, noise is gradually reduced from a Gaussian distribution to generate the image. Recently, diffusion models have been widely adopted in various image processing tasks, including text-to-image synthesis, denoising, segmentation, and object detection. In medical image analysis, diffusion models have shown …

Limitations Of Using Large Language Models For Automated Essay Scoring, Thomas A. Fink

Theses

Background: Automated essay scoring (AES) is a challenging deep learning problem. The two most widely used methods for predicting essay quality scores, supervised learning-based and LLM-based, have their own limitations. Although supervised learning-based methods are more accurate, they only predict a score and do not offer descriptive feedback to students. On the other hand, LLM-based methods can offer rubric-guided feedback but are known to be less accurate.

Methods: This work focuses on improving the accuracy of state-of-the-art LLM-based AES methods. We began by thoroughly investigating why these methods were performing poorly for certain datasets and certain examples. This led us …