Digital Commons Network^™

Harvest And Retting Method Alter The Composition Of Hemp Fiber For High Performance Concrete, Abigail Lazier, Jennifer Macadam, Srishti Banerji, Bruce Bugbee

Plants, Soils and Climate Student Research

Recently, the use of natural fibers in place of polymer fibers in high performance concrete has been explored for improved mechanical properties (including reduced spalling) and greater sustainability. This project aims to recycle biomass waste produced by the medical cannabis industry by using it in concrete. We have designed and conducted multiple studies to determine efficient methods for fiber harvest and processing from our in-house medical cannabis waste. Harvest method, (including fresh harvest and defoliation or physically induced senescence), storage condition, ( 4 C or 25 C), and processing technique, (mechanical or biological) were trialed. Additionally, we used standard forage …

Non-Gradient Quaternion Training Matrix Modifications For Color-Image Distillation, Tahsin Shahnewaz, Megdam Ahmed Chowdhury, Nikolay Metodiev Sirakov

Student Publications

This paper develops a new multi-stage image distillation method that combines two well known techniques. In the first stage, our method creates a matrix from all training images. In the next stage, it adapts a modified principal component analysis (M-PCA) approach to transform the training matrix. In the third stage, Singular Value Decomposition (SVD) fur ther refines the training-image matrix through low-rank reconstruction and controlled row selection. In the fourth stage, rotation of small 2 ×2 matrix blocks on the entire left singular matrix is conducted. The upper m (user-selected number) rows of the reconstructed matrix are selected and transformed …

Lsab Minutes September 2026, Shawna Battle, Maryke H. Barber

WRL Newsletters

No abstract provided.

Zoonotic Fish Parasites That Pose Risks To Human Health In Türkiye, Ahmet Özer

Turkish Journal of Zoology

Fish-borne zoonotic diseases have been documented as the causative agents of considerable problems for humans on a global scale. This paper, for the first time, reveals the current zoonotic parasites of fish from wild and cultured hosts in marine, freshwater, and aquarium environments, as well as in native, endemic, and introduced hosts across different geographical areas and seas in Türkiye, based on published data to date. According to the latest global reports, zoonotic fish parasites in Türkiye are dominated by nematodes (17 species), trematodes (11 species), and cestodes (four species), followed by acanthocephalans (two species) and myxozoans (two species). The …

Spartan Daily, September 16, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 11

Cover And Contents

Turkish Journal of Zoology

No abstract provided.

Revealing Cryptic Lineage Diversity In The Persian Gulf And Oman Sea Groupers (Perciformes: Epinephelidae): Phylogenetic And Species Delimitation Insights, Ehsan Damadi, Faezeh Yazdani Moghaddam, Masoumeh Gholipour Cheshm Gilak, Mehdi Ghanbarifardi

Turkish Journal of Zoology

Groupers (Epinephelidae) are a taxon of great commercial interest due to their large body size and high market value, and are also an important ecological species for biodiversity conservation in coral reef ecosystems. Despite their importance, phenotypic convergence among species generally leads to incorrect taxonomic identification, an issue enhanced by molecular studies revealing the presence of a high cryptic diversity and complicating conventional systematic frameworks. Herein, grouper species diversity in the ecologically heterogeneous Persian Gulf and Oman Sea was investigated to resolve taxonomic ambiguities and assess patterns of cryptic diversity. Mitochondrial COI gene sequencing was used in conjunction with integrative …

Otolith Morphological Variations Reveal Intraspecific Diversity In Two-Spot Barb, Pethia Ticto (Hamilton, 1822), Inhabiting The Riverine Ecosystem, Insha Hassan, Lubna Yasmeen, Mohd Sadiq, Ameer Hamza, Mohammad Afzal Khan

Turkish Journal of Zoology

The intraspecific variation in otolith wavelet coefficients, contours, and morphometric variables (six size and nine shape indices) was analyzed to discriminate stock variation in Pethia ticto collected from four selected sites along the River Ganga (Narora, Kanpur, Varanasi, and Bhagalpur). The wavelet coefficients extracted revealed symmetrical yet site-specific contour variations, particularly along the rostral, dorsal, and posterior margins, with the fourth-level wavelet explaining 98% of the cumulative accuracy and being selected for contour analysis. Permutational analysis of multivariate dispersion (PERMDISP) (F = 6.11, p = 0.002) and permutational multivariate analysis of variance (PERMANOVA) (F = 8.42, R2 = 0.179, p …

Toxicokinetics And Multibiomarker Assessment Of Coexposure To Sulfamethoxazole And  Titanium Dioxide Nanoparticles In Cyprinus Carpio, Nazish Iftikhar, Rabeea Zafar, Imran Hashmi, Asma Jamil, Christopher Joseph Martyniuk, Munib Ahmed Shafique

Turkish Journal of Zoology

The combined effects of pharmaceuticals and nanoparticles (NPs) on aquatic organisms remain insufficiently characterized. The present study examined toxicokinetics and multibiomarker responses of Cyprinus carpio (common carp) following exposure to sulfamethoxazole (SMX) and titanium dioxide (TiO₂) NPs. Juvenile fish were treated with SMX (25, 50, and 100 μg/L) alone and in combination with 1.5 mg/L TiO₂ NPs (96 h). TiO₂ NPs had a significant effect on the bioaccumulation of SMX in muscle tissues, with SMX reaching peak concentrations of 2286.54 ng/g in the 100 μg/L SMX + 1.5 mg/L TiO₂ NPs group after 72 h, compared to 1477.2 ng/g with …

Cuip-X25: A Real-World Network Intrusion Dataset For Next-Generation Ai-Driven Security, Arshad Iqbal, Sohail Asghar

Turkish Journal of Electrical Engineering and Computer Sciences

The efficacy of artificial intelligence (AI) in intrusion detection systems (IDS) is critically dependent on high-fidelity training data. However, as detailed in the manuscript's literature review, existing benchmark datasets are predominantly synthetic, outdated, or imbalanced and fail to capture the complexity of the contemporary threat landscape. To bridge this gap, this study introduces CUIP-X25, a novel real-world cyber-attack dataset captured over a four-month period using a dionaea honeypot deployed on a public network. Unlike synthetic alternatives, this dataset provides an authentic representation of modern adversarial tactics, techniques, and procedures, encompassing 3.16 million real events across ten distinct attack categories, including …

Boundary Layer Sliding Mode Control Strategy For Variable-Speed Compressor In Deep Freezers: Experimental Validation Of Energy Efficiency And Freezing Capacity, Sertan Aksoy, Kami̇l Çeti̇n, Sezai̇ Taşkin

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents the design and experimental validation of a nonlinear sliding mode controller developed for a deep freezer equipped with a variable-speed compressor. The proposed control strategy aims to minimize energy consumption while maintaining rapid and stable cooling performance under varying ambient conditions. A detailed thermal model of the deep freezer was established using an equivalent resistance–capacitance network representation, enabling precise analysis of temperature dynamics. The sliding mode-based control algorithm dynamically adjusts the compressor’s operating frequency according to temperature deviation, ambient conditions, and time-dependent factors, providing robust performance without requiring parameter retuning for different models. Beyond theoretical-based analysis, a …

Artificial Intelligence Use Disclosure Student Rubric, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Disclosure Student Log, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Guidelines, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Cv: Martha Wilkins (Elementary Education), Martha Wilkins

Education Department Faculty Curricula Vitae

No abstract provided.

Predictors Of Psychological Strain In College Students In The Context Of The Covid-19 Pandemic, Randy M. Ludwig

Journal of Social, Behavioral, and Health Sciences

The coronavirus disease 2019 (COVID-19) pandemic exacerbated the traditional challenges of being a college student. This study examined the factors associated with the mental health difficulties many college students faced during the pandemic. Factor analysis was used to uncover a latent variable called psychological strain, which was composed of mental instability, mental health strain, sadness, anxiety, and unhappiness. An exploratory path model was created to determine which factors most closely related to psychological strain. Of the 14 factors considered, 11 were significant predictors. Overall, the most important risk factor was found to be social isolation (total effects = .437), while …

Lindenwood Digest, September 16, 2026, Lindenwood University

Lindenwood Digest

• Event & Date: The Lindenwood University Employee Digest was published on September 16, 2026, announcing the President's Town Hall on September 16, 2026, and the Fall Business Ethics Panel on October 1, 2026.

• Geographic Grounding: Documented events take place at Scheidegger Theater and Dunseth Auditorium in Harmon Hall, Lindenwood University, St. Charles, Missouri.

• Key Honorees/Awards: Director of Operations and Engineering of Mane Media Productions Brandon McKinney received Q2 recognition for broadcast engineering support; Senior Professor of Psychology Dr. Rebecca Foushee received Q2 recognition for providing independent research materials to biology students; Associate Professor of Art and Design Joe Weber received …

Virtual Lunch And Learn: Efficient Database Translation, Stefanie Lapka

TMC Library Newsletter (2015-)

Searching across multiple databases is an important part of a comprehensive literature search—but translating a search strategy from one database to another takes more than simply copying and pasting.

Join us for September's Lunch & Learn to explore database translation. Register to attend this virtual session.

Resources Feature: Explore Public Opinion Data With Roper Ipoll, Joanne Romano

TMC Library Newsletter (2015-)

Looking for public opinion or survey data? Roper iPoll, available through the TMC Library, provides access to nearly one million survey and poll questions and responses covering decades of public opinion research.

Explore Roper iPoll through the TMC Library’s A–Z Databases: https://bit.ly/4rixZFk

History Of Medicine Seminar Returns For Fall 2026, Alice Sherwood

TMC Library Newsletter (2015-)

The History of Medicine Seminar is back for the Fall 2026 semester! This longstanding collaborative series brings together the TMC community for conversations exploring the history of medicine, archival collections, philosophy, and morally relevant questions in medicine.

View the Fall 2026 History of Medicine Seminar schedule

Black Existential–Spiritual Counseling: A Content Analysis, Miles Matise

Journal of Social, Behavioral, and Health Sciences

Black American existential–spiritual counseling integrates existential philosophy with the unique cultural, historical, and spiritual contexts of Black Americans to address their psychological and spiritual needs. Rooted in the lived experience of systemic oppression, alienation, and the quest for identity and freedom, this counseling approach emphasizes meaning-making, personal responsibility, and authentic living. It acknowledges the interconnectedness of spirituality and psychology, recognizing the importance of the Black church, music, and communal values in fostering resilience and empowerment. Drawing on existential themes, such as mortality, freedom, loneliness, and purpose, this approach supports clients in navigating sociocultural stressors and generational trauma through a spiritually …

Una Magazine, Office Of Alumni Relations- University Of North Alabama

Documents

"50 Golden Years"-UNA Magazine, Spring 1999

Welcome To Our Charity Bazaar, Leslee Thorne-Murphy, Maggie Kopp

Faculty Publications

Catalog for the 2017-2018 exhibit at L. Tom Perry Special Collections, BYU Library. Charity bazaars were a product of a massive nineteenth-century philanthropic undertaking in the United Kingdom, as private citizens attempted to respond to the social ills created by a rapidly industrializing economy. Bazaars combined the entertainment value of a social gathering and the fun of a town fair, with the moral earnestness of philanthropic work. Typically organized by women, these bazaars offered handmade goods for sale, raising funds for numerous local and national charitable causes. The exhibit showcases the history and print culture of the charity bazaar, from …

Cover And Contents

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Challenges, Trends, And The Role Of Lstm In Ai-Based Predictive Maintenance Of Electrolyzers For Solar Hydrogen Systems: A Review, Yani Koerniawan Kuatno, Muhamad Zahim Sujod

Turkish Journal of Electrical Engineering and Computer Sciences

The transition toward low-carbon energy systems has increased interest in hydrogen as a clean energy carrier, with solar-driven water electrolysis emerging as a promising technology due to its high efficiency and compatibility with renewable energy sources. However, dynamic operating conditions and intermittent renewable input accelerate electrolyzer degradation, reducing reliability and system lifespan. Predictive maintenance (PdM), supported by artificial intelligence (AI), offers a data-driven approach to anticipate failures and improve operational durability. This review systematically investigates AI-based PdM approaches for electrolyzers, with an emphasis on long short-term memory (LSTM) networks and Internet of things (IoT) integration. Following PRISMA 2020 guidelines, 35 …

Empowering Edge Intelligence Through Reparameterized Lightweight Transformers And Distributed Inference, Hosein Esmaeili, Mohammad Ali Afshar Kazemi, Reza Radfar, Nazanin Pilevari

Turkish Journal of Electrical Engineering and Computer Sciences

Deploying advanced transformer-based models on resource-constrained edge devices remains a significant challenge due to their high memory footprint and substantial compute requirements. In this paper, we propose a reparameterized transformer framework that integrates High-Rank Factorization (HRF) during training, layer merging at inference, and dynamic, load-balanced distributed inference across multiple devices. To further reduce resource usage, our framework supports mixed-precision quantization down to 4-bit, enabling flexible accuracy–latency–energy trade-offs. Experimental evaluations on the ESC-50 environmental sound dataset demonstrate that our method matches or exceeds the performance of larger baseline models while using 20–30% fewer parameters, achieving up to 48% latency reduction in …

Dynamic Focal Loss Adjustment For Railway Defect Detection, Mehmet Koç, Ridvan Özdemi̇r, Ömer Gerek

Turkish Journal of Electrical Engineering and Computer Sciences

Railway infrastructure is critical to the safe and efficient operation of transportation systems, and the early detection of defects is essential for preventing catastrophic failures. Automated defect detection methods are therefore crucial for maintaining continuous safety while reducing maintenance costs. Although Focal Loss is widely used in object detection under class-imbalanced conditions, its fixed α parameter may limit its effectiveness in detecting rare defects. In this study, we propose an adaptive α-tuned Focal Loss approach that dynamically adjusts class weights based on average precision (AP) values. By iteratively optimizing α without relying on gradient-based optimization, the proposed method improves the …

Relative Rate Observer-Based Online Tuning Mechanism For Single-Input Interval Type-2 Fuzzy Pid Controllers, Oqba Aldreiei, Cenk Ulu, Mert Can Kurucu, Müjde Güzelkaya

Turkish Journal of Electrical Engineering and Computer Sciences

The characteristics of the footprint of uncertainty (FOU) in interval type-2 membership functions (IT2-MFs) are crucial to the performance and robustness of interval type-2 fuzzy controllers (IT2-FCs). However, existing IT2-FC design approaches mostly use fixed FOU structures. This study proposes an online membership function (MF) adjustment mechanism for a single-input interval type-2 fuzzy PID controller (SIT2-FPID)  that adjusts the FOU of the antecedent MFs and weights of the consequent MFs, respectively, to achieve high performance and robustness. The proposed online adjustment mechanism consists of a relative rate observer (RRO), a two-input rule-base adjustment system, and a first-order smoothing filter. The …

Robust Load Frequency Control For Multiarea Electrical Power Systems Via Analytical Proportional-Integral-Derivative Plus Second Order Derivative Controller Design, Yavuz Güler, Mustafa Nalbantoğlu, Ibrahim Kaya

Turkish Journal of Electrical Engineering and Computer Sciences

This research presents a proportional-integral-derivative plus second order derivative (PIDD2) controller design based on the Direct Synthesis Method (DSM) for load frequency control (LFC) of interconnected power systems. The parameters of the proposed PIDD2 controller are determined using the DSM, which offers an analytical approach for tuning. The design approaches have been developed specifically for single, two, and three-area power systems, encompassing nonreheated and reheated thermal turbines. In the proposed design method, the best values of PIDD2 controller parameters were found by using a multicriteria objective function that includes the integral of absolute error (IAE) and settling time. In response …

A Binary Multiobjective Hippopotamus Optimization Algorithm For Feature Selection In Phishing Website Detection, Fatima Belmessaoud, Sofiane Maza, Djaafar Zouache

Turkish Journal of Electrical Engineering and Computer Sciences

Phishing website detection remains a major challenge in cybersecurity as attackers continuously develop new techniques to deceive users. Identifying the most informative features from large datasets is essential to improve classification accuracy while reducing computational complexity. Feature selection is therefore widely addressed using metaheuristic optimization techniques due to their flexibility and global search capability. In this study, we propose a Binary Multiobjective Hippopotamus Optimization Algorithm (B-MOHOA) for feature selection in phishing website detection. The proposed method simultaneously optimizes two conflicting objectives: maximizing classification accuracy and minimizing the number of selected features. Unlike many existing studies that mainly focus on transfer …