Digital Commons Network^™

Fish-Spec: Fast Identification System For Handheld Spectroscopy And Species Classification, Mitchell Sueker, Nicholas Mackinnon, Gregory Bearman, Amanda Tabb, Diane Kim, Rosalee S. Hellberg, Alireza Akhbardeh, Hamid Reza Marateb, Jianwei Qin, Moon Kim, Fartash Vasefi, Hossein Kashani Zadeh

Food Science Faculty Articles and Research

Accurate fish species identification is critical to prevent mislabeling and fraud in the seafood industry. We present a handheld multi-mode point spectroscopy system that combines fluorescence (365 and 395 nm excitation) and reflectance measurements in the visible to near-infrared (∼350–900 nm) and short-wave infrared (∼900–1700 nm) regions for rapid, non-destructive classification of fish fillets. Tissue spectra were acquired at 25 positions on 68 fillets from 11 species, in both frozen and thawed states. Feature-level fusion across all four modes enabled higher classification accuracy than any single mode alone. A global machine-learning model classified all species with 85 ± 2.8 %, …

Harnessing Hyperspectral Imaging And Deep Learning For Terrestrial Habitat Mapping In Arid Landscapes: A Case Study In Saudi Arabia, Ali Elgendy, Hesham Morgan, Brandon Tran, Rejoice Thomas, Tamer Ismail, Yehya Kh. Shehadeh, Ahmed Elgharib, Ahmed Abdullah Al-Dughairi, Ali El Muburak, Khaled Allam Harhash, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Arid ecosystems remain under-mapped at actionable scales despite their ecological importance. Decision makers lack reliable, high-resolution habitat maps in drylands to prioritize protection and target restoration. This research integrates spaceborne hyperspectral imaging from the Environmental Mapping and Analysis Program (EnMAP) with deep learning semantic segmentation models to produce an updated level of habitat classification based on the International Union for Conservation of Nature (IUCN) for part of the Imam Turki bin Abdullah Royal Reserve, Saudi Arabia. Using ground control points and the full EnMAP spectral cube without band selection, U-Net and DeepLabV3+ architectures were each implemented with VGG19 and ResNet-101 …

Computer Problems? Must Have Been The Sun How Solar Particles And Cosmic Rays Affect The Future Of Computing, Ned Markham

Osmosis Magazine

Imagine playing your favorite video game, when suddenly, your character teleports to the top of the level. One may be quick to blame the software for faulty code, clueless that this error may have originated from an unlikely source: the sun. That’s right, during a speed run of Nintendo’s Super Mario 64, one stray cosmic ray flipped a single bit (a bit is the most basic unit of information inside a computer, storing one of only two possible values of 0 and 1), causing a streamer’s character to glitch in front of him and a live audience. This phenomenon, however, …

A Journey Into The Mysterious Quantum Realm, Kien Bui

Osmosis Magazine

Toward the end of the 18th century, many scientists believed that all the fundamental laws of physics had already been discovered. Falling apples obeyed Newton’s laws of motion, spinning compasses were explained by Maxwell’s unification of electricity and magnetism, and steam engines drove the first industrial revolution through the rise of thermodynamics. Lord Kelvin stated, “[t]here is nothing new to be discovered in physics now, all that remains is more and more precise measurement.” Only “two small clouds,” he warned, were the two remaining mysteries: black-body radiation and the theory of light. These small clouds, however, turned out to be …

Stem Cells: Potent Potential For Disease Treatment, Natalie Small

Osmosis Magazine

Different cells in the body serve a variety of functions. Cardiac muscle cells contract to pump blood through the heart. Nerve cells transmit electrical and chemical signals throughout the body. Lymphocytes play a role in the immune system to fight infections (Mostafa, 2022). But how do these different cell types arise? The answer is a special type of cell: stem cells.

The Math That Keeps Your Money Safe: Why A Few Extra Characters Could Save You, Joanna Petridi

Osmosis Magazine

Imagine a cracker (yes—that is what malicious hackers are named) sitting behind a screen. Their computer is trying millions of password combinations every minute. Your bank account password, just eight characters long, is the only thing standing between them and your savings. The difference between a password that takes a week to crack and one that would take longer than the universe has existed isn’t magic or luck. It’s simply math.

Letter From The Editor, Sam Chanenson

Osmosis Magazine

Letter from Sam Chanenson, Editor in Chief, Osmosis Science Magazine.

Osmosis.

Osmosis Magazine

Science Magazine

Novel Eco-Friendly Synthesis Of Coo Nps: Evaluation Of Their Diode Laser-Enhanced Inhibitory Activity Through Combined In Silico And In Vitro Approaches., Arshad Mahdi Hamad, Sahar Naji Rashid

Karbala International Journal of Modern Science

In our study, for the first time worldwide, to the best of our knowledge, cobalt oxide nanoparticles (CoO NPs) were synthesized using naringin (Nar) extracted from citrus peels. The properties of the prepared Nar-CoO NPs were studied using field emission scanning electron microscopy (FESEM), energy dispersive X-ray spectroscopy (EDX), ultraviolet-visible (UV-Vis), X-ray diffraction (XRD), and Fourier transform infrared (FTIR) spectroscopy. All the test results demonstrated the efficiency and success of the nanofabrication process. The solution was then exposed to three types of diode lasers: red (650 nm), green (532 nm), and blue (405 nm). The purpose of this study was …

Designing And Writing Effective Data Management Plans For Grant Proposals, Rubab Shahzad, Ibis Anette Moreno-Lozano

Day Family Research Lab Workshop Series

Fundamentals of research data management and how to create effective Data Management Plans (DMPs).

Interpreting Extension Professionals' Viewpoints On Agricultural Climate Change Programming, Aaron B. Wilson, Alli Wenman, Samuel Pratsch, Kenneth Genskow, Patrick Robinson, Dennis Todey, Laurie Nowatzke, Namah Chiamo Taku-Forchu, Moses Wanyakha

Journal of Extension

We evaluated Extension professionals' attitudes and beliefs from Midwestern "1862" land-grant universities around three themes: prioritizing climate programming, farmers' perceptions, and the role of Extension leadership in building capacity to integrate climate change into programs. Using key informant interviews and a two-hour virtual workshop, we developed 'coordinate planes' to illustrate the tensions and contradictions among the three themes, with participants expressing highly diverse viewpoints across the region. Results identify the need for Extension leadership to support multi-state programs and shared resources that provide consistent guidance and expectations around climate change programming while recognizing the intrinsic state context and values.

A Bioarchaeological Study Of The Individuals From The Városfalva Burial Mound In Transylvania, Romania (15th-19th Century), Vanessa C. Reeves

USF Tampa Graduate Theses and Dissertations

This study explores the lives and deaths of the Szekler people recovered from a burial mound in the Transylvanian village of Városfalva. The Transylvanian plateau is located in present day Romania, and is protected on the east and the south by the Carpathian Mountains. The Szekler people arrived in this area around 1000 CE, and were a nomadic group originating in the Asian Steppes region who later intermarried with various migratory groups as they moved across the Eurasian plains. The Szeklers eventually banded together with the proto-Hungarian Magyar peoples and settled in the Carpathian Basin, the easternmost frontier of the …

Indigenous And Tribal Nation Scientists And Universities, Elizabeth A. Sumida Huaman, Stephen J. Smith

Critical Internationalization Studies Review

No abstract provided.

11.17.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Qualtrics training sessions
• Alcorn State University, Dr. Edmund Buckner

Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

Protein function emerges from dynamic conformational changes, yet structure prediction methods provide only static snapshots. While AlphaFold3 (AF3) predicts protein structures, the potential for extracting dynamic information from its ensemble predictions has remained underexplored. Here, we demonstrate that AF3 structural ensembles contain substantial dynamic information that correlates remarkably well with molecular dynamics simulations (MD). We developed ChronoSort, a novel algorithm that organizes static structure predictions into temporally coherent trajectories by minimizing structural differences between neighboring frames. Through systematic analysis of four diverse protein targets, we show that root-mean-square fluctuations derived from AF3 ensembles can correlate strongly with those from MD …

Comparing Machine Learning, Deep Learning, And Reinforcement Learning Performance In Culex Pipiens Predictive Modeling, Wei Yin, Sanad H. Ragab, Michael G. Tyshenko, Teresa Patricia Feria-Arroyo, Tamer Oraby

School of Mathematical & Statistical Sciences Faculty Publications

Several machine learning (ML) and deep learning (DL) methods have been used to predict the presence of species in classification problems. Another set of methods, called reinforcement learning (RL), has been used in training agents to perform various tasks, but not in predicting species distribution. Culex pipiens (Diptera: Culicidae), commonly known as the common house mosquito, is a globally distributed species prevalent in temperate and subtropical regions. They serve as a primary vector for West Nile Virus (WNV), a mosquito-borne pathogen that affects humans and other animals. The study objective is to compare the performance of logistic regression, random forest …

The Effects Of Visual And Audio Secondary Cognitive Tasks During Landing: A Statistical Parametric Mapping Analysis Of Hip And Knee Biomechanics, Hillary Nguyen, Amber Lyle, Kevin Tran, Dominic Espinoza, Gerwyn Hughes

International Journal of Exercise Science

International Journal of Exercise Science 18(7): 1367-1380, 2025. https://doi.org/10.70252/KGHI3479 ACL injuries often occur when athletes perform cognitive tasks while performing a landing/cutting movement. This study investigated the effects of secondary cognitive tasks on hip and knee biomechanics during single limb landing. Sixteen recreational athletes (10 females and 6 males, age: 21.6 ± 2.5 years, mass: 65.2 ± 8.9 kg, height 1.66 ± 0.07 m) performed landings on their dominant limb as a single task and while simultaneously performing secondary cognitive tasks (mental arithmetic) provided through audio and visual means. Hip and knee joint angles and moments were calculated in all …

Single Vs. Whole Muscle Group Assessments: Does The Specific Muscle Influence Its Association With Performance?, Carina M. Velasquez, Kealey J. Wohlgemuth, Mckenzie M. Hare, Kathryn E. Southall, Jacob A. Mota

Topics in Exercise Science and Kinesiology

Topics in Exercise Science and Kinesiology Volume 6: Issue 1, Article 11, 2025. Biometric Muscle size and echo intensity are thought to influence muscle function. Unfortunately, previous works often will examine a single muscle from a group of agonists as a metric of whole muscle performance. This approach may not always be the most appropriate to assess performance outcomes. The purpose of the study was to 1) quantify the association of muscle size and echo intensity with vertical jump performance (VJ), 2) Compare the associations between individual and whole muscle group size and echo intensity, 3) determine whether single or …

Nepenthes Megastoma (Nepenthaceae), A Micro-Endemic Pitcher Plant From Puerto Princesa Subterranean River National Park, Palawan, Philippines, John Charles A. Altomonte, John Paul R. Collantes, Vernaluz Mangussad, Rene Alfred Anton Bustamante, Alastair S. Robinson

Environmental Science Faculty Publications

Nepenthes megastoma is described and illustrated as a new species from the Puerto Princesa Subterranean River National Park, a UNESCO World Heritage Site in Palawan Philippines. This carnivorous tropical pitcher plant is currently known from just three locations in the Mount Saint Paul karst formation, where it grows on vertical limestone walls. Morphologically, N. megastoma is characterised by its highly branched stems, campanulate pitchers, peltate tendril exsertion, dimorphic upper pitchers, and unidirectionally upturned female flowers. It is assessed as Critically Endangered under the IUCN Red List criteria, based on its restriction to three subpopulations comprising few total individuals. Pitcher morphology …

Data Cleaning With Excel, Rubab Shahzad

Day Family Research Lab Workshop Series

This workshop will delve into the importance of cleaning research data and why clean data is an important part of the larger research data lifecycle. This session will also provide an overview of data cleaning and preprocessing using Microsoft Excel including a hands-on demonstration.

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Life As An Intern For Njit Stem For Success, Christopher Tava

STEM Month

I joined the STEM for Success Team in May 2023 with two main goals. The first goal was to reach 100 hours worth of contributions, as part of a mandatory internship requirement to graduate from the Academy for Mathematics, Science, & Engineering (AMSE). I reached that goal by early October 2023, although I have been motivated to continue my work with NJIT beyond that hour target. The second goal was to accomplish something that I was proud of with the resources that the New Jersey Institute of Technology (NJIT) provided me. I had heard of former students of AMSE that …

Cv: Philip Blankenship (Behavioral Neuroscience), Philip Blankenship

Psychology Department Faculty Curricula Vitae

No abstract provided.

Developmental Effects On Zebrafish Embryos Exposed To Alcohol, Tamya Mchaney

Science University Research Symposium (SURS)

Zebrafish are a good organism model due to their similarities with human biology. The transparency of their embryos allows for an easier view to see the developmental stages of the embryos, and easily and accurately note any mutations or defects in any of the embryos. In addition, they make excellent candidates to track potential effects that mirror human embryos with ethanol and alcohol will have on their developmental stages. The aim of this study was to measure the genetic size developmental differences of the embryo’s lens, eyes, and heart that are given 1% alcohol and 2% alcohol. This study’s experimental …

Pd-1 Blockade Induced Bone Loss Occurs In A T-Cell Dependent Manner And May Be Mediated By Ifnγ-Driven Osteoclast Activation, Elena Amonette, Paige M. Hill

Science University Research Symposium (SURS)

PD-1 Blockade Induced Bone Loss Occurs in a T-Cell Dependent Manner and May Be Mediated by IFNγ-Driven Osteoclast Activation

^†Elena Amonette¹, ^†Paige Hill¹, Gwenyth J. Joseph², Rachelle W. Johnson^2,3

¹Belmont University, Nashville, TN; ²Vanderbilt University, Nashville, TN; ³Vanderbilt University Medical Center, Nashville, TN

^†These authors contributed equally to this work

Immune checkpoint inhibitors (ICIs) are becoming increasingly prevalent in the treatment of various cancers due to their ability to reduce tumor mediated T cell death and lengthen the anti-tumor response. One such therapy that is increasingly utilized …

Seagrass Persistence In The Indian River Lagoon And Lake Worth Lagoon, Florida, Kelly Kibler, Melinda Donnelly, Vincent Encomio, Madison Giuntoli, Manisha Thenuwara, Brice Bennett, Laura Andrade Barron, Mariam Sonbol, Wynter Raine Seppala, Namritha Ramakrishnan, Jennifer Jordan Báez, Beth Orlando, Irene Arpayoglou, Melissa Meisenburg

Indian River Lagoon Shorelines

The spatial dataset: UCF_seagrasspersistence_IRL_LWL.shp was created with support from the Indian River Lagoon National Estuaries Program and Florida Sea Grant. These projects cumulatively led to creation of a living shoreline restoration prioritization model and hydrodynamic habitat suitability models for 1,550 km (963 miles) of estuarine shorelines in Indian River Lagoon (IRL) and Lake Worth Lagoon (LWL). The dataset presented herein represents persistence of seagrass throughout waters of the IRL and LWL.

Correcting Class Imbalance Through Synthetic Training Data And 3d Modeling For Carabid Pitfall Trap Sampling, Blair Mirka

Geography ETDs

Crowdsourced biodiversity data provide an accessible foundation for large-scale ecological monitoring, but class imbalance limits automated species identification, particularly for rare taxa. This research explores the use of synthetic training data generated from 3D models of carabid beetle museum specimens to improve detection and classification performance for underrepresented species in crowdsourced datasets. High-resolution 3D models were created to simulate variation in lighting, orientation, and background. These synthetic images were incorporated into convolutional neural network training datasets at varying synthetic-to-real ratios to assess their impact on classification accuracy. Models were evaluated using controlled pitfall-trap imagery to examine the influence of scene …

11.10.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Sherilyn Hulugalla winds Biosafety and Biosecurity Month Challenge

An Integrated Ca–Markov Modeling Framework For Forecasting Land Use And Land Cover Dynamics In Arkansas, Usa, Rasool Vahid, Mohamed H. Aly

Environmental Dynamics Faculty Publications and Presentations

Land use and land cover (LULC) changes significantly shape urban environments and directly impact ecological and socioeconomic systems. This study aims to explore these interconnections by employing the Cellular Automata–Markov (CA–Markov) model to assess and predict LULC dynamics in Arkansas. Historical LULC datasets from 2001 to 2021, obtained from the National Land Cover Database, were simplified from 11 into 5 classes to facilitate analysis and effectively map transitions. The model was validated by predicting LULC for 2016 and 2021 and comparing the predictions with the real maps, achieving an overall accuracy of approximately 91.9%, using model validation metrics, including precision, …

Nanofiber-Enabled Rapid And Non-Destructive Sensors For Meat Quality And Shelf-Life Monitoring: A Review, Karna Ramachandraiah, Elizabeth M. Martin, Alya Limayem

Food Science Faculty Publications and Presentations

The meat industry faces significant economic losses and environmental impacts due to spoilage and waste, much of which results from inadequate, delayed, or inefficient quality assessment. Traditional methods used for assessing meat quality are often time-consuming, labor-intensive, and lack the ability to provide real-time information, making them insufficient for modern supply chains that demand safety, freshness, and minimal waste. Recent advances in nanotechnology position nanofibers (NFs) as promising materials for addressing these challenges through smart sensing and active packaging. NFs, characterized by their high surface-to-volume ratio, tunable porosity, and small diameter, enable superior encapsulation and immobilization of sensing agents. These …

Data-Driven Modeling Of Dynamics And Adaptation In Mapk Pathway, Elisha Erzoah, Maria Emelianenko, Mariaelena Pierobon

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.