Digital Commons Network^™

Forecasting Big Data Daily Silver Price Based On Hybridizing Support Vector Regression And Meta-Heuristic Algorithms, Ibtihal Muneeb Yahya, Zakariya Yahya Algamal

Baghdad Science Journal

Because commodities are prone to large price swings, forecasting their prices can be extremely difficult. Similar to other commodities, the price of silver is determined by a complicated interplay between a number of factors, including time-lag. Precise forecasting of the silver price is essential for the stable and effective functioning of silver markets. The time series that metal prices follow is non-stationary, nonlinear, and contains periods that fluctuate due to possible growth. Accurate forecasting of silver prices is difficult since they are consistently highly nonlinear and non-stationary. Forecasting metal prices, in general, have been predicted by support vector regression (SVR). …

Career Interest And Work Values Of Online Filipino Psychology Graduates: Basis For Retention Program, Henmar C. Cardiño, Erwin B. Sario, Rommel P. Sergio

Social Sciences and Development Review

The main objective of the study is to evaluate the significant association between career interests and workplace values among Filipino online psychology graduates in 2022 and to provide retention strategies for diverse organizations. The study’s goal was to identify the gap between the participants’ career interests and their work values and offer possible retention programs to bridge the gap. The researcher employed a quantitative correlational research design and utilized two research instruments, the RIASEC Test by John L. Holland and the Work Values Inventory by Ronald E. Super, to measure career interest and work values, respectively. In August 2022, a …

Assessment Of Traffic Related Air Pollution Effects On Indoor Air Quality In Educational Buildings, Ahmed Gouda Mohamed, Mohamed Sherif Dr., Fahad Alqahtani Dr., Yousif Deeb Eng.

Civil Engineering

This study assesses the impact of traffic-related air pollution (TRAP) on indoor air quality (IAQ) within a Riyadh school. The main objectives are to pinpoint factors influencing IAQ and to evaluate the effectiveness of existing ventilation and filtration systems. Air quality Egg sensors monitored nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matter (PM1.0, PM2.5, PM10) levels both indoors and outdoors over 30 days. Findings revealed average indoor PM2.5 and PM10 concentrations of 14.09 µg/m3 and 18.15 µg/m3, respectively, while outdoor concentrations averaged 20.63 µg/m3 and 27.88 µg/m3. A strong positive correlation was observed between indoor and outdoor PM levels, …

Low-Energy Multiphoton Scattering At Tree-Level And One-Loop Order In A Homogeneous Electromagnetic Field, James Edwards, Ivan Ahumada Hernandez, Patrick Copinger

School of Engineering, Computing and Mathematics

We study low energy photons coupled to scalar and spinor matter in the presence of an arbitrary homogeneous electromagnetic field in a first-quantized (worldline) approach. Utilizing a Fock-Schwinger gauge for both the scattering photons and homogeneous background, simple compact expressions are found for both the photon- and background-dressed effective action and propagator in scalar and spinor quantum electrodynamics. The low-energy limit allows identification of the coupling of the scattering photons as one of an effective homogeneous superposition of their field strengths, with amplitudes following from application of a suitable linearization operator. To treat the linearization, several techniques are employed, including …

Analysis Of The Submergence, Landing, And Navigation Of An Autonomous Underwater Landing Vehicle, Theresa Wainwright

Electronic Theses and Dissertations 2020 - Present

Autonomous Underwater Landing Vehicles allow for seafloor data to be taken in multiple locations with little to no human intervention. The movement of these vehicles needs to be analyzed through simulated to ensure the correct programming of vehicle missions. This analysis includes the surface navigation, the drift experienced by the vehicle during descent, and the seafloor stability of the vehicle. The results then inform the limitations of this vehicle and the necessary adjustments to subsequent versions. Surface navigation allows understanding of vehicle movement between ascent locations, waypoints, and descent locations. Drift during descent allows for visual of the vehicle’s movements …

War Abstracted, Jay Hatfield

Electronic Theses and Dissertations 2020 - Present

War Abstracted is an exhibition in response to the devastation of war. The body of work encapsulates three years of artistic exploration at Florida Atlantic University. The exhibit is a reaction to contemporary conflicts, both global and domestic. It is neither a glorification nor a condemnation of war. The exhibition reflects my experience as a Marine Corps Scout during the Gulf War, the challenges of reintegrating into society with post-traumatic stress disorder (PTSD), and uncertainty. It also engages broader themes of global warming and gun violence. Through a diverse range of materials, methods, and presentations, the work navigates personal and …

Exploring The Recognition Of Internalizing Problems Among Black Students: Delving Into The Youth Mental Health Help-Seeking Pathway, Marketta A. Adams

LSU Master's Theses

The mental health of Black adolescents is a growing concern, with high prevalence rates of internalizing disorders such as anxiety and depression. National studies report that nearly 47% of Black adolescents experience a mental health disorder by age 18, with over 60% reporting moderate to severe depressive symptomology. Despite these alarming rates, Black youth underutilize mental health services, often due to cultural stigma, limited access to culturally competent care, and under-recognition of their mental health needs. This study aimed to explore problem recognition as a key component in the mental health help-seeking pathway for Black adolescents in school settings. Grounded …

Effect Of Pore Structure On Void Formation In Lotus Type Porous Cu/Solder Joints, Jin-Kwan Lee, Keun-Soo Kim, Jae-Ho Shin, Seung-Min Cho, Sung Yi, Sang-Wook Kim, Soong-Keun Hyun

Mechanical and Materials Engineering Faculty Publications and Presentations

Void formation in solder joints is a critical reliability challenge in high-power electronics, as it degrades thermal dissipation and mechanical integrity. This study investigates a novel structural approach to mitigate this issue. The influence of an uni-directional porous structure in lotus-type porous Cu (Louts Cu) on void formation in solder joints was investigated. All pores in lotus Cu were infiltrated with SAC305 (Sn–3.0Ag–0.5Cu) solder paste. Then reflow soldering was performed under three different atmospheric conditions: air, nitrogen, and vacuum. The microstructure and void fraction were characterized. The shear strength was evaluated. The shear strength of Louts Cu joint was slightly …

2025 - The Sixth Annual Fall Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Fall 2025 Symposium of Student Scholars, held in November 2025. Includes abstracts from the presentations and posters.

Gboost-Ctl: A Novel Method In Multi-Tissue Transcriptome-Wide Associations Studies In Cross-Tissue Learner Incorporating Gwas Information, Md Mutasim Billah, Hairong Wei, Fengzhu Sun, Kui Zhang

Michigan Tech Publications

Genome-wide association studies (GWAS) have uncovered numerous genetic variants linked to complex human diseases, yet linking these variants to transcripts and tissues that drive pathology remains difficult. Multi-tissue transcriptome-wide association studies (TWAS) offer a powerful bridge, but existing analytical methods have some limitations, either by discarding important signals by separately analyzing and then aggregating results across tissues, implying imputation models in individual tissues, or fusing them with weights that ignore how much GWAS signal each tissue actually carries. Therefore, most of the existing methods do not work uniformly across different GWAS cohorts. Here, we propose GBoost-CTL - a GWAS-boosted cross-tissue …

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 %, …

Leveraging Consistency: Evaluating Ai Coders For Qualitative Research, Saríah López-Fierro, Carlos Chiriboga-Calderón, José López-Fierro, Rubén Pacheco-Villamar

Instructional Technology and Learning Sciences Faculty Publications

This study provides insights of using Large Language Models (LLMs) for deductive coding tasks in market research. Deductive coding, which applies predefined codes to text, often demands consistency rather than interpretive nuance. 

We compare five closed-weight LLMs with a group of human coders in tagging instances of “Expansive Framing” across qualitative excerpts, using Fleiss’ Kappa, ANOVA, and Estimated Marginal Means. Results reveal that LLMs exhibit higher consistency and faster processing than humans. These findings suggest that integrating LLMs can improve efficiency, making them an attractive asset for firms managing large datasets.

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 …

Michael D. Shaw, Sr.

African American Funeral Programs

No abstract provided.

Enhanced Photocatalytic Degradation Of Water Pollutants Using Au/Cds: Tio2 Films Nanocomposites Under Ultra Violet-Visible Irradiation, Zainab K. Mohammed, Souad G. Khalil, Mahdi M. Mutter

Baghdad Science Journal

In this work, Au/ CdS: TiO₂ film nanocomposites were prepared and deposited on a glass substrate for photocatalytic application. First, sol-gel dip coating thin films of CdS: TiO₂ were synthesized. Next, the plasma sputtering technique was used to deposit Au on the CdS: TiO₂ thin films. Composite CdS: TiO₂ ratios were (1:1, 1:0.25, and 1:0.5). The produced films were studied using X-ray diffraction (XRD) measurements, atomic force microscopy (AFM), field emission scanning electron microscopy (FESEM), and UV-visible spectroscopy. With the addition of TiO₂, the energy band gap, as measured by UV-visible spectroscopy, decreased from …

Divergent Prefrontal Cortex Circuits Regulate Cued Food Seeking Under Distinct Metabolic Or Emotional States, Xu O Zhang, Guillermo Aquino-Miranda, Claire E Cho, Yongzhe Wang, Duy Hoang Ha, Nikita Elinson-Watson, Allen Dong, Caleb Kemere, Fabricio H Do-Monte

Faculty, Staff and Student Publications

Flexibly adjusting food-seeking behaviour in response to food-associated cues and internal states is crucial for animals' survival. However, the neural mechanisms that modulate cued food-seeking behaviour during varying metabolic (i.e., hungry vs. satiated) and emotional (i.e., safe vs. threatened) states remain elusive. Here, we show that the encoding of metabolic or threat states in projection-defined neurons in the prelimbic cortex (PL) mediates cued food-seeking responses in rats. Using microendoscopic imaging, we demonstrate that neural population dynamics in PL consistently represent food cues, task-relevant behaviours, and internal state changes by recruiting distinct subsets of cue-responsive neurons at each state. Single-unit recording …

Field Canals Improvement Projects Duration Prediction: A Comparative Analysis Of Machine Learning Models, Hania Ghouse, Ukaegbu Chinonso Ishmael, Edgar Dario Obando-Paredes, Hashem Shafik Shakir, Ali Al-Bayaty

Electrical and Computer Engineering Faculty Publications and Presentations

There are several essential elements in project construction management to be studied appropriately, and priority to these elements, such as cost and duration, is predominantly interesting to be investigated. In this research, the duration of field canal improvement projects (DFCIP) was predicted using two relatively new machine learning (ML) models - the Multivariate Adaptive Regression Spline (MARS) and Extreme Learning Machine (ELM). The targeted DFCIP was calculated using other dependent parameters, such as the length of the pipe, years of construction, the geographical zone of the network, the supplied area with water, and finally the actual cost of the field …

Yolo-Based Marine Search And Rescue Using Uav Multi-Dataset In Challenging Weather Conditions, Aysha Alshebli

Thesis/ Dissertation Defenses

Object detection models, powered by deep learning and computer vision, are revolutionizing marine search and rescue (SAR). By analyzing aerial imagery and live drone footage, these systems automatically identify critical targets like survivors, life rafts, and debris across vast and treacherous ocean areas. This capability enhances operational efficiency by reducing human workload and accelerating response times, even in challenging conditions such as poor light, high seas, or cluttered backgrounds. The result is continuous monitoring, faster decision-making, and a significantly improved probability of successful rescue.

Departing from prior methodologies, YOLO introduced a paradigm shift through its single-shot architecture, which concurrently predicts …

Investigate The Performance And Airtightness Of Short Carbon Fiber Reinforced Polypropylene Pressure Vessel Fabricated Via Fdm 3d Printing, Trad Abdallah Abualbandora

Thesis/ Dissertation Defenses

This work offers a thorough investigation into the performance of 3D-printed, short carbon fiber-reinforced polypropylene pressure vessels, specifically designed for gas storage in demanding sectors like aerospace, drones, and medical equipment, operating within a pressure range of 0-10 bar. A key challenge in FDM additive manufacturing of pressure vessels is achieving airtightness due to the inherent porosity and micro-gaps resulting from the printing process. To address this, the fabricated vessel models were coated with various commercially available materials to effectively fill these microscopic imperfections and ensure the necessary tightness. Spray coating and adhesion coating materials were applied to the outer …

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 …

My Roman Empire: The Mystery Of Roman Concrete, Lilly Cashen

Osmosis Magazine

After the fall of an empire and millennia of conflict and decay, most structures crumble. Yet the monumental dome of the Pantheon, the towering ruins of the Colosseum, and the sprawling miles of aqueducts still stand today, two thousand years later, as testaments to Roman engineering brilliance. The survival of these ancient structures was made possible by one of Rome’s greatest innovations: Roman concrete, or opus caementicium.

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.

Osmosis.

Osmosis Magazine

Science Magazine

Coe Presents: Puerto Rico, College Of Engineering

International Education Week

A vibrant event celebrating Puerto Rican culture through snacks, music, and interactive experiences that capture the island’s energy.

Notes For Contributors, Editors Space And Defense

Space and Defense

No abstract provided.

Review Article: International Relations: State Of The Field. Paul R. Viotti’S Kenneth Waltz: An Intellectual Biography (Ny: Columbia University Press, 2023)., Damon Coletta

Space and Defense

In this review essay, Damon Coletta examines Paul R. Viotti’s Kenneth Waltz: An Intellectual Biography (Columbia University Press, 2023), positioning it as both a tribute to and a reexamination of one of International Relations’ most influential theorists. Viotti, a former student of Waltz, reconstructs the intellectual development of structural realism—tracing its philosophical and methodological roots from Man, the State, and War (1959) to Theory of International Politics (1979)—while situating Waltz’s scholarship within the geopolitical and academic transformations of the Cold War era. Coletta highlights Viotti’s skillful balance between biography and disciplinary analysis, showing how Waltz’s systemic approach to international politics …

Review Article: Monetary Power And National Security. A 10th Anniversary Review Of Paul R. Viotti’S The Dollar And National Security: The Monetary Component Of Hard Power (Stanford, Ca: Stanford University Press, 2014), Ricardo Crespo

Space and Defense

In this ten-year retrospective, Ricardo A. Crespo reassesses Paul R. Viotti’s The Dollar and National Security (2014) as a foundational text bridging the fields of monetary policy and national security. Viotti’s central thesis—that military power ultimately depends on a stable and privileged monetary foundation—has only grown more relevant amid today’s weaponization of finance and the geopolitics of sanctions. Crespo highlights Viotti’s argument that sustaining the U.S. dollar’s global dominance requires cooperative security and international consensus, noting how historical parallels—from the sterling gold standard to Bretton Woods—illustrate the fragility of monetary hegemony under fiscal mismanagement or political fragmentation. The review situates …

Plan To Fail By Failing To Plan: Deterring Prc Nuclear Force Expansion, Mark Tang, Grace Buettner

Space and Defense

This article argues that the United States must adapt its nuclear deterrence strategy to counter the People’s Republic of China’s (PRC) accelerating nuclear force expansion. As Beijing seeks to achieve nuclear parity with Washington—projecting up to 1,500 warheads by 2035—the authors contend that U.S. strategy must evolve from Cold War-era models to meet the Indo-Pacific’s unique strategic challenges. They propose the establishment of a Pacific Air Forces (PACAF) A-10 Strategic Deterrence and Nuclear Integration Division, modeled after its European counterpart, to enhance regional nuclear planning, integration, and allied assurance. The paper emphasizes the concept of escalation domination, arguing …