Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 361 - 390 of 713680

Full-Text Articles in Entire DC Network

Advanced-Level Writing In The University Classroom And Beyond: Mindful Practices For Technical, Business, And Scientific Communication, Dawn Atkinson, Stacey Corbitt Oct 2026

Advanced-Level Writing In The University Classroom And Beyond: Mindful Practices For Technical, Business, And Scientific Communication, Dawn Atkinson, Stacey Corbitt

Writing

No abstract provided.

Go to article

From Innovation To Impact: Evaluation Of The Shape Accelerator Cohort, Iryna V. Lendel, Chloe Wieber Oct 2026

From Innovation To Impact: Evaluation Of The Shape Accelerator Cohort, Iryna V. Lendel, Chloe Wieber

Upjohn Institute Technical Reports

The Solutions Hub for an Alternative Packaging Ecosystem (SHAPE), a Michigan-Ohio partnership operated by the Michigan State University Research Foundation as part of a National Science Foundation Regional Innovation Engine, co-funded a special cohort of the NextCycle Accelerator focused on sustainable packaging and circular economy ventures. This report evaluates how the accelerator contributed to firm-level advancement and ecosystem-level change, drawing on program data and interviews with participating companies, program facilitators, stakeholders, and SHAPE management.  Participants most consistently credited coaching, network connections, and the Pitch Showcase with meaningfully impacting their business trajectory, gaining market traction, advancing technology readiness, and gaining access …

Go to article

A Tribute To Frank Delno Holland, Jr. (1924-2023), Sigma Gamma Epsilon National President (1970-1975), Paleontologist, And Friend, John M. Erickson Oct 2026

A Tribute To Frank Delno Holland, Jr. (1924-2023), Sigma Gamma Epsilon National President (1970-1975), Paleontologist, And Friend, John M. Erickson

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Frank Delno Holland, Jr., was born in Leavenworth, Kansas, on March 6, 1924. All family and friends, including his students and professional acquaintances, knew him as Bud. His parents were Frank D. Holland and Francys Bell Holland. His paternal grandparents, O.B. and Laura Holland were North Dakotans who had homesteaded in Sargent County during the 1880s, but had relocated to Kansas in 1903. Bud had a rural upbringing on the outskirts of Leavenworth, graduating in 1942 from Leavenworth High school. It seemed natural that he would follow in his father’s footsteps by attending the University of Kansas (KU) so Bud …

Go to article

The Compass - Volume 95 Issue 2 - Complete Issue, Scott R. Beason Oct 2026

The Compass - Volume 95 Issue 2 - Complete Issue, Scott R. Beason

The Compass: Earth Science Journal of Sigma Gamma Epsilon

No abstract provided.

Go to article

In Memoriam: Dr. Don C. Steinker (1936-2026), Paleobiologist, Teacher, Editor, And Mentor, Margaret M. Yacobucci, Susan T. Goldstein, Ronald E. Martin Oct 2026

In Memoriam: Dr. Don C. Steinker (1936-2026), Paleobiologist, Teacher, Editor, And Mentor, Margaret M. Yacobucci, Susan T. Goldstein, Ronald E. Martin

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Dr. Don C. Steinker, Professor Emeritus of Geology and Paleobiology, died at the age of 89 in Bowling Green, Ohio, on February 5, 2026. During his remarkable 43-year career at Bowling Green State University (BGSU), Don played a pivotal role in developing the Paleobiology specialization within the Geology undergraduate degree program, mentored generations of students, and served as advisor for the Beta Upsilon chapter of Sigma Gamma Epsilon (SGE) from 1969 until his retirement in 2010. In this brief memorial, we will highlight some of Don’s most important contributions to BGSU’s geology program, the field of foraminiferal paleobiology, geoscience education, …

Go to article

Beyond The Poster Session: Turning A Scientific Poster Into A Publishable Manuscript, Scott R. Beason Oct 2026

Beyond The Poster Session: Turning A Scientific Poster Into A Publishable Manuscript, Scott R. Beason

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Scientific posters are often treated as the final product of an undergraduate research project. After months of fieldwork, laboratory analysis, data processing, and interpretation, a student prepares a poster, presents the work at a departmental symposium or professional meeting, rolls up the poster, and moves on to the next stage of their career. The research, however, does not necessarily need to end with the poster session. A well-developed scientific poster already contains many of the fundamental elements of a scientific manuscript: a research question, scientific context, methods, results, figures, interpretation, discussion, and conclusions. Converting a poster into a manuscript therefore …

Go to article

Genetically Driven Lipid Dysfunction And Neuroinflammation: An Agent-Based Model Of Alzheimer's Disease, Anthony Wolfe, Mack Kona, Sela Raisl, Enrique Lopez, Kamila Larripa Oct 2026

Genetically Driven Lipid Dysfunction And Neuroinflammation: An Agent-Based Model Of Alzheimer's Disease, Anthony Wolfe, Mack Kona, Sela Raisl, Enrique Lopez, Kamila Larripa

IdeaFest 2026

Microglia are immune cells in the brain that switch phenotypes to maintain neural health, but disruptions in this regulation may contribute to Alzheimer’s Disease (AD). We developed an agent-based model to link cell mechanisms to tissue-level patterns, incorporating both individual cell responses to localized signaling and the effects of APOE and TREM2 variants on microglial metabolism and clearance. Through computational experiments, we simulate how impaired lipid clearance and sensing lead to a pro-inflammatory microglial population and chronic inflammation. Our framework offers insight into how local dysfunction progresses to persistent neuroinflammation and promotes conditions like AD.

Go to article

Lightning-Driven Wildfire Risk And Forest Loss In Six Rivers National Forest, Jonathan David Juarez, Dr. Rachel Torres Oct 2026

Lightning-Driven Wildfire Risk And Forest Loss In Six Rivers National Forest, Jonathan David Juarez, Dr. Rachel Torres

IdeaFest 2026

Forest ecosystems support biodiversity, stabilize soils, and regulate water but face increasing threats from wildfire and drought under climate change. Six Rivers National Forest in Humboldt County, California, is vulnerable due to dense biomass, dry summers, and dominant species like coastal redwood, Douglas fir, and tanoak. This study combines CAL FIRE wildfire records (1950-2025) with remote sensing (2014-2024) to assess wildfire-forest loss relationships. Hansen Global Forest Change and MODIS data, along with NDVI and PDSI, show strong overlap between wildfire and forest loss, with rising lightning-caused ignitions after 2000, suggesting climate-driven fire dynamics.

Go to article

Noise Characterization And Mitigation In Intermediate-Scale Quantum Systems, Muhammad Qasim Khan Oct 2026

Noise Characterization And Mitigation In Intermediate-Scale Quantum Systems, Muhammad Qasim Khan

Dartmouth College Ph.D Dissertations

Current quantum processors, at the intermediate scale of tens to hundreds of qubits, remain error-limited. This thesis studies two related sources of error. The first is environmental noise, which may have temporal and spatial correlations and nonclassical components. The second is state-preparation and measurement (SPAM) error, which arises in the operations used to characterize this noise, a prerequisite for boosting operational fidelities. Neither can be characterized alone. Noise spectroscopy techniques use imperfect preparation and readout, while SPAM characterization is affected by qubit decoherence. Our methods vary measurement depth, drive duration, or sequence repetition so each source changes the measured signal …

Go to article

A Folk Taxonomy Of Magic, Gustav Kuhn, Cyril Thomas, Griffiths Thomas Oct 2026

A Folk Taxonomy Of Magic, Gustav Kuhn, Cyril Thomas, Griffiths Thomas

School of Psychology

Magic tricks provide a uniquely powerful window onto the boundaries of what people consider possible, and the ways in which those boundaries can be challenged. Although there exists an effectively infinite variety of magic tricks, relatively little is known about how different magical effects relate to one another at a psychological level. Previous attempts to classify magic have largely relied on the judgments of a small number of expert magicians, rather than capturing people’s intuitive understanding of magical phenomena. Here, we introduce a new multi-dimensional taxonomy of magic that treats the observable effect (e.g., an object vanishing) and the attributed …

Go to article

Faculty Authors & Achievers Bibliography 2026, Luke Vilelle Oct 2026

Faculty Authors & Achievers Bibliography 2026, Luke Vilelle

WRL: Faculty Authors & Achievers Bibliographies

The office of Academic Affairs and the Wyndham Robertson Library congratulate all Hollins faculty who published or presented creative or scholarly works from Fall 2024 - Fall 2026. These pages comprise a list of that work.

Go to article

Sex-Based Disparities In Artificial Intelligence For Cardiovascular Disease: A Scoping Review, Maurgan Lee, Tarek Atasi, Michael Mclellan, Yodit Beru, Jason Booza Oct 2026

Sex-Based Disparities In Artificial Intelligence For Cardiovascular Disease: A Scoping Review, Maurgan Lee, Tarek Atasi, Michael Mclellan, Yodit Beru, Jason Booza

Population, Patient, Physician and Professionalism Projects

No abstract provided.

Go to article

Leader-Follower Formation-Based Leader Velocities Estimation Via Adaptive-Τ Tustin Differentiator, Zeyad A. Karam, Mohammed Y. Hassan, Amjad J. Humaidi Oct 2026

Leader-Follower Formation-Based Leader Velocities Estimation Via Adaptive-Τ Tustin Differentiator, Zeyad A. Karam, Mohammed Y. Hassan, Amjad J. Humaidi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This work develops a leader–follower formation for differential-drive mobile robots with an explicit estimator for the leader's velocities. Firstly, a leader robot position-variance-adaptive, under-rate-limited differentiator provides forward speed and yaw-rate estimate for the leader velocities, using exponentially weighted increment variances that drive a convex one-sided mapping to provide adaptive time constants for this estimator. Secondly, the control stack couples three layers: first layer, a nonlinear body-frame kinematic law for leader tracking, with orientation corrections handled via a smooth bounded function sin(eθ)/eθ to eliminate singularities near zero error. Second layer, a formation-preserving follower controller based on …

Go to article

Adaptive Intelligent H-Infinity Controller Design For Mimo Nonlinear Systems Under Asymmetric Input Saturation, Mohammed Qasim, Hazem I. Ali, Omar Farouq Lutfy Oct 2026

Adaptive Intelligent H-Infinity Controller Design For Mimo Nonlinear Systems Under Asymmetric Input Saturation, Mohammed Qasim, Hazem I. Ali, Omar Farouq Lutfy

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This paper details the design of a robust adaptive intelligent guaranteed cost H-infinity controller, tailored for MIMO nonlinear systems subject to external disturbances, parametric uncertainties, and asymmetric input saturation constraints. The adaptive intelligent part of the proposed controller consists of a Radial Basis Function Neural Network (RBFNN) with bounded output to respect saturation constraints and a robust adaptive law for RBFNN weights estimation. This part serves to estimate the system's uncertain nonlinearities and external disturbances. The guaranteed cost H-infinity is designed based on Linear Matrix Inequalities (LMIs) to address the system parameter uncertainties and bounded RBFNN estimation errors, as well …

Go to article

Enhancing Gru With Long-Short Attention: A Case Study Of Saudi Stock Market Prediction, Hussein Samma, Qusay Shihab Hamad, Ali Salem Bin Sama, Adnan Bakather, Khaled Alhashash Oct 2026

Enhancing Gru With Long-Short Attention: A Case Study Of Saudi Stock Market Prediction, Hussein Samma, Qusay Shihab Hamad, Ali Salem Bin Sama, Adnan Bakather, Khaled Alhashash

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Predicting stock market movements accurately is a challenging task due to the inherent complexity and volatility of financial markets. In recent years, deep learning techniques, particularly the Gated Recurrent Unit (GRU), have shown promising results in financial time series prediction. However, capturing the most relevant information from large volumes of data remains a critical challenge for improving prediction accuracy. This work introduces an attention-enhanced GRU model for forecasting the Saudi stock market. The proposed model integrates attention mechanisms to dynamically prioritize different input patterns, enabling the network to focus on the most relevant information for prediction. Two types of attention …

Go to article

Generative Artificial Intelligence-Driven Augmentation With Deep Feature Fusion Model For Rare Disease Detection And Classification, V. Kavitha Oct 2026

Generative Artificial Intelligence-Driven Augmentation With Deep Feature Fusion Model For Rare Disease Detection And Classification, V. Kavitha

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Rare disease detection focuses on identifying rare health conditions that affect a tiny fraction of people. Detection is challenging because symptoms are often ambiguous and information is limited. In recent years, retinal diseases have become a serious problem worldwide. Progressing a computer-assisted diagnosis (CAD) method is highly beneficial and functional for ophthalmologists. Proper detection and treatment can save eye vision. Deep learning (DL) has advanced across various scientific fields and is leveraged for numerous healthcare tasks. This research presents a Generative Artificial Intelligence-Assisted Adaptive Feature Fusion Network for Rare Retinal Disease Detection (GAIAFF-RRDD) technique assists ophthalmologists by allowing early and …

Go to article

Glycemia Regulation In Type 1 Diabetes Using Artificial Pancreas Systems: One Decade Review Of Positive Control Approaches, Luay Thamir Rasheed, Ahmed Sabah Al-Araji, Taghreed Mohammadridha Oct 2026

Glycemia Regulation In Type 1 Diabetes Using Artificial Pancreas Systems: One Decade Review Of Positive Control Approaches, Luay Thamir Rasheed, Ahmed Sabah Al-Araji, Taghreed Mohammadridha

Iraqi Journal of Computers, Communications, Control and Systems Engineering

An artificial pancreas (AP) is a biomedical device that mimics the natural glucose-regulation process carried out by a healthy pancreas. This device consists of three parts: a continuous glucose monitor (CGM), a control algorithm, and an insulin pump. These three parts work together by continuously monitoring blood glucose concentration (BGC) and adjusting insulin delivery to maintain normoglycemia while minimizing the occurrence of hypoglycemia and hyperglycemia. While several review studies have addressed control strategies for AP systems, limited attention has been given to the fundamental positivity constraint of insulin delivery and its systematic impact on controller design and performance. This paper …

Go to article

Power-Efficient Target Tracking And Coverage In Under-Provisioned Wireless Visual Sensor Networks, Muna M. Jawad Oct 2026

Power-Efficient Target Tracking And Coverage In Under-Provisioned Wireless Visual Sensor Networks, Muna M. Jawad

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Due to their ability to detect the physical environment, directional sensors have attracted a lot of attention in wireless visual sensor networks (WVSN). These sensors perform two key functions: communication and sensing. A WVSN comprises numerous configurable limited fields of view sensors, comprising distinct angular sectors, arranged with multiple targets randomly scattered in the same surrounding region. Therefore, there is a critical need to improve the network's lifetime and reduce power demand while providing complete target coverage. This paper looks at under-resourced visual networks with an inadequate number of sensors to match applications' needs and develops a viable model to …

Go to article

Improving Performance For Dco-Ofdm Based Vlc Via Convolutional Coding And Viterbi Decoding, Maha F. Shatti, Samir M. Hameed, Atheer A. Sabri Oct 2026

Improving Performance For Dco-Ofdm Based Vlc Via Convolutional Coding And Viterbi Decoding, Maha F. Shatti, Samir M. Hameed, Atheer A. Sabri

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The reliability of Visible Light Communication (VLC) is affected by several parameters, the most significant being high peak-to-average power ratio(PAPR) and nonlinear distortion. This study presents an adaptive direct current O-OFDM (DCO-OFDM) based VLC system as a solution, which integrates error correction the Convolutional coding and Viterbi decoding (by hard and soft decision methods) with a PAPR reduction technique that combines Vandermonde-like Matrix (VLM) precoding with a nonlinear companding transform (NCT). This proposed system enhances resistance to channel impairments, thereby reducing BER while maintaining the gains of PAPR reduction. Moreover, examined the system under realistic VLC propagation conditions both Line …

Go to article

A Triple-Verification Framework For Swift, Real-Time Detection Of Anomalous Sensor Readings In Large-Scale Iot Systems, Taha E. Al-Jarakh, Inas Jawad Kadhim, Ayad Al-Dujaili, Eduardo Campos Mercado Oct 2026

A Triple-Verification Framework For Swift, Real-Time Detection Of Anomalous Sensor Readings In Large-Scale Iot Systems, Taha E. Al-Jarakh, Inas Jawad Kadhim, Ayad Al-Dujaili, Eduardo Campos Mercado

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Due to the massive expansion of Internet of Things systems and the variety of anomalous data resulting from faulty sensors, cyberattacks, or communication failures, it has become difficult to handle this type of data. Although current machine learning and statistical analysis techniques offer high accuracy in detecting anomalies, these methods alone are not sufficient for handling massive amounts of data in real-time. Therefore, the idea arose to propose a Triple-Verification Framework to detect and block anomalous data. The first stage of the framework acts as a firewall to block incoming messages from blocklisted/unauthorized sensors or carrying unknown schemes. In the …

Go to article

Energy-Efficient Resource Allocation In Cloud Service Management Via Significant Feature Ranking With Recurrent Network Model, C. Arun, S. Santhoshkumar, J. Jegathesh Amalraj, T. Suresh Oct 2026

Energy-Efficient Resource Allocation In Cloud Service Management Via Significant Feature Ranking With Recurrent Network Model, C. Arun, S. Santhoshkumar, J. Jegathesh Amalraj, T. Suresh

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The increasing adoption of cloud computing (CC) produces a notable growth in data centres, resulting in severe financial, environmental, and operational problems. To mitigate these issues, energy-efficient resource allocation strategies have been developed as a key solution for enhancing energy utilization while ensuring high performance and reliability. In this framework, machine learning (ML) enables the implementation of dynamic and intelligent approaches for effective resource utilization. In this paper, we focus on the Scalable Hybrid Feature Ranking Framework for Energy-Efficient Resource Allocation (SHFRF-EERA) approach in Cloud Service Management Systems. The novelty of the proposed model lies in the integration of hybrid …

Go to article

A Corpus Linguistics-Driven Hybrid Deep Representation Framework Incorporating Majority Voting For Enhanced Automatic Spoken Language Identification, Lubin Balasubramanian, J. Uthayakumar, Niranjana Kumara M, Sariga Arjunan Oct 2026

A Corpus Linguistics-Driven Hybrid Deep Representation Framework Incorporating Majority Voting For Enhanced Automatic Spoken Language Identification, Lubin Balasubramanian, J. Uthayakumar, Niranjana Kumara M, Sariga Arjunan

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Spoken Language Identification (SLID) is a well-researched area. It has previously been recognized as a crucial first stage in every multi-lingual speech recognition system. Latest developments in artificial intelligence (AI) and deep learning (DL) are used to highly strengthen the performance of SLID systems, allowing them to perform a crucial part in mainstream applications The gathered speaker utterances have been entered into the DL network for training phase. The language equivalent to the great posterior probability is then recognized as the target language. This study introduces an Enhancing Automatic Spoken Language Identification with Corpus Linguistics and Ensemble Deep Representation (EASLI-CLEDR) …

Go to article

Learning Opportunities 2026/2027, Illinois Math And Science Academy Oct 2026

Learning Opportunities 2026/2027, Illinois Math And Science Academy

Course Catalogs

The graduation requirements of the Illinois Mathematics and Science Academy are established by the IMSA Board of Trustees. Each semester, students must take a minimum of five academic courses (2.5 credits) for a letter grade (not Pass/Fail), not including Fine Arts or Wellness courses. Students may enroll in a maximum of eight academic opportunities each semester, including academic courses, Fine Arts and Wellness courses, and Experiential programs. The College and Academic Counselor approves enrollment for students in all courses and experiences.

Go to article

Exploring The Significance Of Kenya's Indigenous And Emerging Blue Foods For Sustainable Aquaculture Development. A Review, Jonathan Munguti, Mavindu Muthoka, Domitila Kyule, Esther Magondu, Kevin Obiero, Jimmy Mboya, Menaga Meenakshisundaram, Tanga M. Chrysantus, Gerald Kwikiriza, Francis K. Njonge Oct 2026

Exploring The Significance Of Kenya's Indigenous And Emerging Blue Foods For Sustainable Aquaculture Development. A Review, Jonathan Munguti, Mavindu Muthoka, Domitila Kyule, Esther Magondu, Kevin Obiero, Jimmy Mboya, Menaga Meenakshisundaram, Tanga M. Chrysantus, Gerald Kwikiriza, Francis K. Njonge

All Peer-Reviewed Publications

Kenya's aquaculture sector is at a pivotal stage, transitioning from a historical reliance on Nile tilapia and African catfish toward a more diversified production portfolio that integrates indigenous and emerging freshwater and marine species. This shift is increasingly recognized as essential to enhance climate resilience, food security, and ecosystem health. This systematic review synthesizes more than two decades (2000 to 31st January, 2026) of peer-reviewed literature to evaluate the biological suitability, culture performance, and socio-ecological roles of underutilized native taxa, including Ningu (Labeo victorianus), Jipe tilapia (Oreochromis jipe), freshwater prawns (Macrobrachium spp.), rabbitfish (Siganus sutor), marine-acclimatized Nile tilapia, mud crab …

Go to article

Check Out The Library, 2026 Fall Issue, Cal Poly Humboldt Library Oct 2026

Check Out The Library, 2026 Fall Issue, Cal Poly Humboldt Library

Library Publications

Issue 21

Go to article

Revisiting Her2-Negative Breast Cancer In The Era Of Her2-Low And Her2-Ultralow Expression: Assessment Of Interobserver Variability, Xiao Huang, Sarah Anderson, Valeria Dal Zotto, Shuko Harada, Andrea G. Kahn, Meiling Zhou, Kui Zhang, Kanako Okamoto, Shi Wei Oct 2026

Revisiting Her2-Negative Breast Cancer In The Era Of Her2-Low And Her2-Ultralow Expression: Assessment Of Interobserver Variability, Xiao Huang, Sarah Anderson, Valeria Dal Zotto, Shuko Harada, Andrea G. Kahn, Meiling Zhou, Kui Zhang, Kanako Okamoto, Shi Wei

Michigan Tech Publications

BACKGROUND: HER2-low and HER2-ultralow expressions have recently emerged as actionable targets in breast cancer (BC). However, data remain limited regarding the consistency of immunohistochemistry (IHC) scoring when both categories are considered. This study aimed to evaluate interobserver variability in assessing HER2-negative BC, with particular focus on the reproducibility of HER2-low and -ultralow classifications. METHODS: A total of 389 consecutive HER2-negative BC cases were re-evaluated by six pathologists with varying experience (1-20 years). The panel included dedicated breast pathologists, general pathologists routinely covering breast services, and a surgical pathology fellow in training. HER2 expression was categorized as HER2-null (no staining), -ultralow, …

Go to article

From Homes To Classrooms: Cultural Wisdom As A Guide For Stem Lesson Planning, Miriam Ortiz, Uma Ganesan, Angela Chapman, William Medina-Jerez, Ruby Lynch Arroyo, Mourat Tchoshanov Oct 2026

From Homes To Classrooms: Cultural Wisdom As A Guide For Stem Lesson Planning, Miriam Ortiz, Uma Ganesan, Angela Chapman, William Medina-Jerez, Ruby Lynch Arroyo, Mourat Tchoshanov

Teaching and Learning Faculty Publications

This article describes innovative elementary science instructional approaches based on cultural wisdom developed by preservice teachers enrolled in a teacher preparation program at a university in the U.S.-Mexico border region. As a part of a larger study, three Latina preservice elementary teachers were a part of a teacher residency in conducting community interviews and reflection activities to uncover cultural backgrounds that could inform culturally relevant STEM lesson planning, centering on family and home knowledge. This project began with family interviews during winter break and culminated in lesson planning and implementation during their science methods course in the spring semester. The …

Go to article

First Evaluation Of Contrast-Enhanced Micro-Xct As A Tool For Organismal And Reproductive Trait Observations In Corals Based On Scans Of Thesea Nivea Deichmann, 1936, Erin E. Easton Oct 2026

First Evaluation Of Contrast-Enhanced Micro-Xct As A Tool For Organismal And Reproductive Trait Observations In Corals Based On Scans Of Thesea Nivea Deichmann, 1936, Erin E. Easton

School of Earth, Environmental, & Marine Sciences Faculty Publications

Micro-X-ray computed tomography (micro-XCT) with contrast enhancement is considered a non-destructive tool that is increasingly being applied to explore the internal and external structures of vertebrates and invertebrates. Although micro-XCT has been applied to corals to study skeletal features, contrast enhancement has not been applied to evaluate the utility for visualization of soft tissue structures in corals. This study is the first to evaluate the utility of contrast enhancement to visualize internal and external features, including soft tissue features, of octocorals. Contrast staining of a Thesea nivea specimen with 2.5% Lugol's iodine permitted visualization of soft tissues with sufficient density …

Go to article

Ai Student Survey 2026 Oct 2026

Ai Student Survey 2026

AI Survey Datasets

Student survey conducted by the University of Memphis AI Pedagogy Taskforce on generative AI.

Go to article

Ai Pedagogy Faculty Survey 2025 Prelim Data Results Oct 2026

Ai Pedagogy Faculty Survey 2025 Prelim Data Results

AI Survey Datasets

Faculty survey on AI knowledge and usage conducted in 2025 by University of Memphis AI Pedagogy Taskforce.

Go to article

First Prev Next Last