Digital Commons Network^™

A Chorus Of Voices: Student And Teacher Shared Dialogical Experiences And Insights, Jennifer Anne Reynolds

Theses and Dissertations

Dialogue is inherently tied to learning, but as a secondary English Language Arts (ELA) classroom teacher it can be difficult to facilitate classroom dialogue that provides authentic learning opportunities for every student. I wanted to learn more about the student experience, so I implemented an action research study to increase my understanding of how students learn through dialogue. My research question was: How does collaborative languaging, to facilitate student-teacher interaction, lead to improved classroom mediation, authentic learning, dialogue, and development? I conducted transformative action research in my classroom, focusing on students enrolled in my general English 10 classes. In an …

The Effects Of Social Impact Mentoring On Women Seeking Employment, Adriano Santos Carneiro

Theses and Dissertations

Women seeking employment often face barriers such as limited professional networks, reduced access to career guidance, and lack of consistent support during the job-search process. This study examined the effects of a social impact mentoring program that connected women seeking employment with women professionals who served as mentors. Participants included 11 mentees who were seeking employment opportunities and 11 mentors who were employed or recently employed in professional roles. Using a mixed-methods pre-post design, the study collected quantitative survey data and open-ended responses before and after four virtual mentoring sessions. Mentee measures focused on confidence in securing employment and readiness …

Testing Elicitors Of Homologous Jadr2 Proteins To Regulate Natural Product Production, Carzon J. Williams, Emilee A. Patterson, Allison S. Walker

SPARK Symposium Presentations

The growing threat of antimicrobial resistance (AMR) has and will contribute to global economic and public health concerns in the foreseeable future leading into 2050. As mortality rates derived from AMR are projected to reach 10 million if no viable solution is found to combat it through hastened drug discovery. The use of natural products to mitigate AMRs effects is viable as more than 50% of FDA approved drugs are natural products. These natural products are synthesized by biosynthetic gene clusters (BGC), found in bacteria with a regulatory protein not allowing transcription until unbound . Current methods of eliciting the …

Leadership In Higher Education Amid Demographic Shifts: Implications Of Campus Event Management, Marrissa J. Williams

M.S. in Leadership

This study focuses on how demographic shifts within higher education have influenced leadership practices, specifically within enrollment management and campus event programming. As student populations become increasingly diverse, institutions are challenged to change their recruitment, engagement, and support strategies to meet the needs of first-generation, low-income, and non-traditional learners. The research explores the role of leadership in shaping these responses, with a focus on how decisions related to admissions events, like campus visits, outreach initiatives, and multicultural programming, have contributed to student engagement and enrollment outcomes. Using a qualitative approach grounded in the analysis of peer-reviewed articles and case studies, …

Efficient Edge Implementation Of Midasnet For Real-Time Depth Estimation In Indoor Robotics, Muhammed Yasi̇n Adiyaman, İsmai̇l Fai̇k Başkaya

Turkish Journal of Electrical Engineering and Computer Sciences

Real-time depth estimation is crucial in many vision-related tasks, including autonomous driving, 3D reconstruction, robotics, and simultaneous localization and mapping. In recent years, many methods have been proposed to solve depth maps from images by utilizing different modality setups like monocular vision, binocular vision, or sensor fusion. However, for real-time deployment on edge devices, complex methods are not suitable due to latency constraints and limited computation capacity. For edge implementation, models should be simple, minimal in size, and hardware-friendly. Considering these factors, we implemented MiDaSNet, which works on the simplest setup of monocular vision and utilizes hardware-friendly convolutional neural network-based …

An Anthropological Lens Into Human Milk Mirnas: Roles In Evolution And Epigenetic Programming Of Infant Health, Samantha Wu, Erika Yu, Allison Oh, Chantal Rabay, Amy L. Non

Human Biology Open Access Pre-Prints

MicroRNAs (miRNAs) represent an understudied bioactive component of human milk with an important epigenetic role in regulating infant gene expression. Most anthropological studies of human milk have focused on the evolutionary and biocultural significance of milk macronutrient content for infant development. This review will focus specifically on the value of studying milk miRNAs, a critical bioactive component of milk that may transmit cues to offspring about maternal environments. These cues could epigenetically program infant development and shape health trajectories throughout the life course. MiRNAs are short, single stranded, ribonucleic acids that serve as post-transcriptional regulators of gene expression which can …

Scientific Advances In Ecology Through The Lens Of Ecological Processes, Jiquan Chen, De Hui Zeng, Guillermo Martínez Pastur, João C. Azevedo, James A. Lutz, Raffaele Lafortezza, Andrew Burton, Et Al.

Michigan Tech Publications

In this perspective editorial, we analyzed publication trends and author-provided keywords across ten leading ecology journals from 2012 to 2025 to synthesize recent developments in ecological research. We identified six major trends that have shaped the field: (1) the shift from descriptive to mechanistic investigations, (2) the relevance of climate change and ecosystem feedbacks, (3) the growing integration of the human dimension into ecological research, (4) the application of advanced technologies and analytical methods, (5) the increasingly diverse contributions from the global scientific community, and (6) the rise of issue-focused research. Building on this synoptic overview, we discuss emerging frontiers …

Comparable Outcomes, Divergent Learning Pathways: Comparing Metacognitive Reflection And Practice Problems In Organic Chemistry, Jitendra D. Belani

College of Life Sciences Faculty Papers

Organic Chemistry I presents significant challenges for students, requiring both conceptual understanding and effective study strategies. Two commonly used approaches to support learning are structured practice problems and metacognitive reflection activities; however, these strategies are rarely compared directly within the same course context. In this study, students enrolled in a postbaccalaureate Organic Chemistry I course (n = 31) were randomly assigned to one of two low-stakes interventions: weekly practice problem sets or structured reflection surveys focused on study strategies. Student performance was evaluated using three midterm examinations, a cumulative final exam, and overall course grades, along with measures of participation. …

Unveiling The Diversity Within Salvia Caespitosa Sensu Lato (Lamiaceae): Three New “Hidden” Endemic Species From Türkiye​, Ferhat Celep, Musa Doğan, Gali̇p Akaydin, Ahmet Kahraman, Ersi̇n Karabacak, Ömer Çeçen, Meti̇n Armağan, Chun-Lei Xiang, Bryan T. Drew

Turkish Journal of Botany

Documenting species, particularly those that are threatened or endangered, is fundamental to biodiversity conservation. However, many taxa remain scientifically unrecognized, being either undiscovered or unpublished. While some plants can be easily recognized as new species, other identifications are obscured by morphological, taxonomic, and nomenclatural complexity. Detecting cryptic or “hidden” species is therefore essential to understanding biodiversity and plant evolution. Our revisionary studies on Salvia demonstrate that the morphologically complex Salvia caespitosa is not a single species but instead comprises at least four distinct species, three with narrow distributions. This conclusion is supported by integrative evidence from extensive field studies, herbarium …

A New Species Of The Genus Heracleum From Türkiye: H. Papilionaceum (Apiaceae: Tordyliaea​), Mehmet Sağiroğlu, Mardiya Sabdani̇, Bariş Bani̇, Hayri̇ Duman

Turkish Journal of Botany

A new species, Heracleumpapilionaceum (Apiaceae: Tordylieae), is described and illustrated from the Elmacık Mountains, Bolu Province, northwestern Türkiye. Morphological studies and phylogenetic analyses based on nuclear ribosomal (nr)DNA Internal Transcribed Spacer sequences placed the new species close to H. apiifolium and H. munzurense. Comparative morphological and fruit anatomical data, images, and a distribution map are provided. An International Union for Conservation of Nature Red List assessment is also presented, supporting its classification as Critically Endangered.

Evolutionary Neural Architecture Search: A Survey, Ferda Nur Özçeli̇k, Mehmet Önder Efe

Turkish Journal of Electrical Engineering and Computer Sciences

Deep Neural Networks (DNNs) have achieved remarkable success across diverse machine learning applications, yet designing effective architectures remains a laborious, expert-driven process. Neural Architecture Search (NAS) was introduced to automate this process, with Evolutionary NAS (ENAS) emerging as one of the most effective and widely adopted NAS paradigms. This survey provides a comprehensive and systematic review of 164 ENAS studies published between 2020 and 2024, categorized according to the specific evolutionary algorithm employed as the search strategy. Unlike prior surveys—which either treat evolutionary methods at a high level or focus on general NAS pipelines—this study is, to the best of …

A Holistic Approach For Workforce Scheduling And Routing, Kerem Can Manalp, Ansel Kaplan Erol, Kutluhan Erol, Cem Evrendi̇lek

Turkish Journal of Electrical Engineering and Computer Sciences

The workforce scheduling and routing problem (WSRP) involves assigning tasks across multiple locations while accounting for varying travel times, service durations, time windows, and skill requirements in a wide range of industries, from healthcare to telecommunications. This paper presents a mixed-integer programming model for the WSRP that balances the trade-off between cost and customer satisfaction using a score-generation function and subsequently evaluates the trade-off between solution quality and computation time for several algorithms on well-known datasets. We demonstrate that our model effectively balances cost, service-level agreement satisfaction, and task priorities while providing high-quality solutions in a timely manner. Observing that …

Cnkg: Harnessing Large Language Models For Cognitive Neuroscience Knowledge Graph Construction, Ali Sarabadani, Kheirollah Rahsepar Fard, Hamid Dalvand

Turkish Journal of Electrical Engineering and Computer Sciences

Textual resources are among the most valuable sources of information in cognitive neuroscience (CN) for understanding and investigating brain activity and cognitive processes. Extracting and constructing knowledge graphs (KGs) from these texts can facilitate medical research by providing deeper insights into neurological diseases and brain function. In recent years, the use of large language models (LLMs) in natural language processing (NLP) has become increasingly widespread, significantly enhancing the extraction of meaningful information from large volumes of text. This study proposes a novel approach for constructing and evaluating a specialized knowledge graph, termed the cognitive neuroscience knowledge graph (CNKG), from scientific …

Dual-Stream Bilstm Framework With Histogram-Based Shape Features For Household Load Forecasting, Chang Xu, Wong Jee Keen Raymond, Hazlee Azil Illias, Hazlie Mokhlis

Turkish Journal of Electrical Engineering and Computer Sciences

This study proposes a dual-stream BiLSTM framework for household load forecasting that integrates time-series dynamics with histogram-based daily shape features. Unlike existing models relying on weather or external data, the proposed method extracts intrinsic load-shape information directly from normalized daily curves. A multihead attention module fuses temporal and shape representations, enabling adaptive weighting of informative dimensions. Experiments on three real-world datasets show consistent improvements over the baseline BiLSTM, with up to 30.12%, 24.27%, and 19.03% reductions in MAE, RMSE, and SMAPE, respectively. The results highlight the framework’s robustness and efficiency for fine-grained load forecasting without external inputs.

Robust Variable-Gain Backstepping Control For Nonlinear Systems With Real-Time Application To Induction Motor, Fadi Alyoussef, İbrahi̇m Kaya, Ahmad Akrad, Rabia Sehab, Cristina Morel

Turkish Journal of Electrical Engineering and Computer Sciences

This study proposes a novel variable-gain mechanism with a minimal number of tuning parameters to enhance the performance of conventional backstepping controllers for nonlinear systems while avoiding singularity and peaking phenomena. The proposed approach is simple, computationally efficient, and well suited for real-time implementation without imposing a significant computational burden. Its effectiveness is validated through real-time experiments conducted using a dSPACE DS1104 controller board and a 7.5-kW induction motor (IM). Simulation results demonstrate that the proposed controller outperforms the conventional backstepping controller. Robustness analyses under variations in stator resistance, load inertia, and viscous friction coefficient reveal substantial reductions in the …

Enhancement Of Nested Hexagonal Fractal Antenna Performance For Multiband Wireless Applications, Abdelbasset Azzouz, Rachid Bouhmidi, Mohammed Chetioui, Redouane Berber, Ahmed Jamal Abdullah Al-Gburi

Turkish Journal of Electrical Engineering and Computer Sciences

This work focuses on developing a compact multiband antenna to meet the growing demand for versatile and efficient radiating structures in modern wireless communication systems. A hexagonal fractal antenna is proposed and analyzed for applications such as mobile communications, WLAN, industrial, scientific and medical (ISM) bands, Wi-Fi, satellite links, radar systems, and military communications. By iteratively modifying the antenna geometry with larger hexagonal elements, the design enhances multiband behavior and improves key performance parameters including gain, S11, voltage standing wave ratio (VSWR), and radiation characteristics. The antenna is modeled using high-frequency structure simulator (HFSS)® and fabricated on a low-cost 0.8 …

Parameter Optimization Of Dual-Qsg Based Pll For Real-Time Control Of Grid-Connected Ev Chargers, Gaurav Yadav, Sudhanshu Mittal, Vineet Kumar, Sombir Kundu, Praveen Bansal

Turkish Journal of Electrical Engineering and Computer Sciences

Dual-Quadrature Signal Generator (D-QSG) based Phase lock loop (PLL) has been recently proposed to handle the nonideal grid voltage conditions. However, selecting the parameter for D-QSG based controller has been a great challenge, especially for higher-order systems. Inappropriate parameter selection tends to increase settling time both in terms of amplitude as well as harmonics attenuation. Hence, in the proposed work, the main focus is on parameter selection to achieve a faster response. Here, a fourth-order Quasi-Synchronous Generator has been realized by cascading the two nonidentical second order generalized integrators (NISOGIs). Furthermore, the parameters of both the NISOGIs are selected in …

Erratum To “Sgsc-Kko-Lstm: A Deeplearning Classifier Model For Smart Grid” [Turkish Journal Of Electrical Engineering & Computer Sciences 34 (2) 2026 185-213], Samaniba Imchen, Dushmanta Kumar Das

Turkish Journal of Electrical Engineering and Computer Sciences

The first and second authors were incorrectly ordered in the article PDF due to a typesetting error. To rectify this oversight and ensure the accuracy of the published work, the author order have been corrected as follows: 1. Samaniba Imchen – First Author 2. Dushmanta Kumar Das – Second Author

A link to the original article can be found at: https://doi.org/10.55730/1300-0632.4170

July 14, 2026 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

Striking A Chord For Southern Music Scholarship, Michael Newsom

University of Mississippi News

OXFORD, Miss. – From the Delta blues to the birth of rock 'n' roll, many of the harmonies that shaped American music were first struck in the South, and a new gift aims to help the University of Mississippi study this rich history in depth.

Erginia (Asteraceae: Cichorieae: Crepidinae), A New Genus Accommodating Chondrilla Spinosa, An Orphan Species Of Localized Distribution In Southeastern Anatolia, Murat Erdem Güzel, Kami̇l Coşkunçelebi̇, Serdar Makbul, Mutlu Gültepe, Zeynepnur Alemdağ, Norbert Kilian

Turkish Journal of Botany

The new genus Erginia is established to accommodate Chondrilla spinosa, a species of previously uncertain systematic placement, with a highly localized distribution in Southeastern Anatolia (Türkiye) on alpine screes along two mountain ridges. Although there has been general agreement that the species is a member of the subtribe Crepidinae in its wider sense, including the Chondrillinae, its placement in Chondrilla is based on the superficial resemblance of its achene features, which also do not match any other known genus, and no molecular phylogenetic analysis had clarified its sister group. In this study, we produce additional micro- and macromorphological as well …

Integrative Data Inform The Taxonomy Of Salix: A Case Study Of S. Purpurea L. Subsp. Leucodermis Yalt. (Salicaceae) From Türkiye, Peli̇n Acar, Yasi̇n Kaya, Dudu Özlem Mavi̇ İdman, Irina V. Belyaeva

Turkish Journal of Botany

The study of endemic species provides valuable perspectives on evolutionary history and future targets for their conservation. Salix purpurea L. subsp. leucodermis Yalt., which is endemic to Sandras Mountain in Türkiye, was analysed using morphological, anatomical, and genomic methods. This study presents the first draft short-read sequence of S. purpurea subsp. leucodermis, providing preliminary genomic evidence of differentiation from related taxa. This study also revealed a specific combination of anatomical features (prominent calcium oxalate crystals and amphistomatous leaves) and morphological characteristics (striated wood, glabrous buds, absence of stipules) that differentiate the taxon in question from the closely related species S. …

How To Authenticate An Orcid On Your Experts Profile, Kimberly Holling

ScholarWorks Publications

This document provides step-by-step instructions for researchers to authenticate their unique ORCID number on the Experts Portal profile.  This allows for the two systems to update researcher profiles for either one or both systems, as preferred.

Combining Menin And Mek Inhibition To Target Poor Prognosis Kmt2a-Rearranged Ras Pathway-Mutant Acute Myeloid Leukemia., Nastassja Scheidegger, Constanze Schneider, Gabriela Alexe, Yi-Cheng Wang, Todd A. Alonzo, Allen Basanthakumar, Wallace A. Bourgeois, Julia Dudkiewicz-Garbicz, Delan Khalid, Lucy A. Merickel, Jennifer A. Perry, Rhonda E. Ries, Silvi Salhotra, Audrey Taillon, Alan S. Gamis, Richard Aplenc, Marian H. Harris, Mark Wunderlich, Scott A. Armstrong, Jessica A. Pollard, Soheil Meshinchi, Yana Pikman, Kimberly Stegmaier

Manuscripts, Articles, Book Chapters and Other Papers

KMT2A-rearranged (KMT2A-r) acute leukemias are especially prevalent in the pediatric population. KMT2A-fusion proteins drive leukemogenic gene expression through an interaction with a chromatin complex that includes the scaffold protein menin, giving rise to aggressive acute leukemias. RAS pathway mutations are also common in pediatric leukemia. In a cohort of 1750 patients enrolled on Children's Oncology Group (COG) trials, we identified RAS pathway mutations in 43% of acute myeloid leukemia (AML) cases. The presence of RAS pathway mutations in KMT2A-r AML was associated with a lower complete remission rate, poor event-free survival and overall survival (OS), and early relapses. Given the …

Influence Of A New Nanoensemble Of Graphene Oxide And Indole-3-Acetic Acid On The Morphophysiological, Biochemical, And Ultrastructural Characteristics Of Upland Cotton (Gossypium Hirsutum L.), Nurlan Amrahov, Ulviyya Hasanova, Aliyeva Gunel, Aghazada Goncha, Fuad Rzayev, Eldar Gasimov, Aliyeva Solmaz, Lala Gahramanli, Elvin Ibrahimli, Ruhangiz Mammadova, Zarema Gakhramanova, Cem Bayram, Goncha Eyvazova, Si̇bel Hasanova, Ziyaddin Mammadov

Turkish Journal of Botany

​The exogenous application of phytohormones plays a crucial role in the activation of adaptive mechanisms in plants under both normal and stress conditions. Therefore, the present study investigates the synthesis, characterization, and application of nanoensembles based on indole-3-acetic acid (IAA) and graphene oxide (GO) nanolayers. The surface of GO synthesized by the modified Hummer method was noncovalently functionalized with IAA molecules. The structure and morphological properties of the prepared materials were analyzed by Fourier transform infrared spectroscopy, X-ray diffraction, UV-Vis spectroscopy, and transmission electron microscopy. The IAA and IAA+GO nanoensemble enhanced the morphological parameters, lateral root formation, catalase and peroxidase …

Effects Of Calcium And Magnesium Ions On Wheat (Triticum Aestivum) Chromosome Structure Visualized Using Light And Scanning Elec​Tron Microscopes, Andi Salamah, Fitri Amalia Nurchasanah, Vycka Fikriyani Fairuz, Astari Dwiranti

Turkish Journal of Botany

Divalent cations, particularly calcium (Ca2+) and magnesium (Mg2+), are essential for maintaining chromosomal architecture, yet their roles in plants remain poorly characterized. This study investigated the effects of Ca2+ and Mg2+ on the chromosomal structure of wheat (Triticum aestivum, 2n = 6x = 42), a widely used model in plant cytogenetics. Root-tip chromosomes were isolated enzymatically and treated with BAPTA (a Ca2+-specific chelator), EDTA (a broad cation chelator), and buffer solutions containing either 5 mM Mg2+ (XBE5) or no Mg2+ (XBE). Chromosomes were stained with aceto-orcein for light microscopy and processed for scanning electron microscopy (SEM). Microscopic observations revealed that …

Systematic Implications Of Seed Morphology In Oxytropis (Galegeae: Fabaceae) From Pakistan, Amjad Khan, Amir Sultan, Raees Khan, Rozina Rozina, Shahab Ali, Ali Bagheri, Rifat Ullah Khan, Abdul Samad Mumtaz, Tariq Ullah, Ghalia Saleem Aljeddani, Hasil Khan

Turkish Journal of Botany

Oxytropis is a taxonomically challenging genus within the tribe Galegeae of the family Fabaceae. Despite its systematic importance, the seed morphology of Oxytropis has been poorly investigated. In the present study, we examined the seed morphology of 18 Oxytropis species representing 10 sections from the Pakistan, with the aim of evaluating the diagnostic value of seed traits using both light and scanning electron microscopy. The current investigation revealed two distinct seed shapes, namely cordiform and prolonged reniform, across the studied taxa. Seed length ranged from 1.75 mm in O. crassiuscula to 2.3 mm in O. duthieana, while seed width varied …

A Revenue-Driven Approach For Enhanced Task Utilization In Vehicular Cloud Computing, Ashish Singh Saluja, Satyabrata Das, Sanjib Kumar Nayak, Sohan Kumar Pande

Turkish Journal of Electrical Engineering and Computer Sciences

Vehicular networks support intelligent transportation through vehicle-to-roadside Units (V2R) and vehicle-to-vehicle (V2V) communication but face challenges from dynamic topologies, limited RSU coverage, and bandwidth scarcity, which impact service delivery and revenue. RDA-ITU addresses these challenges by integrating V2R and V2V paradigms to maximize RSU revenue, enhance service availability, and improve system efficiency. It dynamically allocates services based on real-time network conditions and vehicle mobility, leveraging V2V relays to optimize both RSU-direct and cooperative communication. Through extensive simulations, RDA-ITU significantly outperforms four baselines: RBSM, VVMM-U, VVMM-LW, and VVMM-MA. It achieves 81.1% higher total revenue, 154.8% more completed requests, and 103.6% higher …

Class-Aligned Frequency Augmentation Using Variational Mode Decomposition Forfew-Shot Image Classification, Leila Boussaad

Turkish Journal of Electrical Engineering and Computer Sciences

Few-shot image classification benefits from data augmentation, yet most existing methods operate in pixel space with limited control over spectral semantics. We introduce a lightweight, frequency-guided augmentation strategy based on Variational Mode Decomposition (VMD). Our method constructs an offline, per-class ModeBank by decomposing downsampled luminance patches and retaining midband modes that encode class-specific texture patterns. During episodic training, VMD is never executed online: instead, for each support image, a same-class midband mode is selected and blended using PSNR-targeted scaling with a luminance energy cap, ensuring perceptual consistency. The augmentation is fast, reproducible, class-consistent, and integrates seamlessly into standard metric-based pipelines …

Scalefusion: Hierarchical Feature Aggregation For Unified Multiscale Object Detection, Ayşenur Yaylaci, Berru Kaya, Mehmet Kiliçarslan

Turkish Journal of Electrical Engineering and Computer Sciences

Detecting objects across a wide range of scales, particularly small ones, remains a significant challenge in computer vision. Existing methods often improve small object detection at the cost of performance on larger objects or introduce significant computational overhead through external techniques like image slicing. This paper introduces ScaleFusion, a novel, unified, end-to-end object detection architecture designed to provide robust performance across all scales within a single model. The core of our approach is a hierarchical feature aggregation strategy structured like a tree. ScaleFusion processes an image by running a shared backbone network only on fine-grained patches at the lowest level …