Digital Commons Network^™

Fertility And Birth Rates In The Mountain West, 2024, Sydney Mitchell, Maisoon Faris, Caitlin J. Saladino, William E. Brown Jr.

Health

This fact sheet reports 2024 data on the overall birth rate and birth-related health measures in the five Mountain West states of Arizona, Colorado, New Mexico, Nevada, and Utah using data from the Centers for Disease Control and Prevention (CDC) website. This fact sheet includes information from the National Center for Health Statistics, “Statistics by State” subsection related to birth. This subsection focuses on fertility rates, teen birth rates, infant mortality rates, births to unmarried mothers, cesarean deliveries, pre-term births, and infants with low birth weight.

A Significant Moment In The Colorado River Water Supply Crisis, Jack Schmidt, Anne Castle, John Fleck, Eric Kuhn, Kathryn Sorensen, Katherine Tara

The Traveling Wilburys of the Colorado River

On Sunday, July 12, the surface of Lake Powell was 3524.32 feet above sea level, and the surface of Lake Mead was at 1042.77 ft.7 These elevations equated to 5,505,869 and 7,169,640 acre feet (af), respectively, of live storage in the two reservoirs. The combined total live storage of these reservoirs was 12,675,509 af. The last time the combined total live storage in Lake Powell and Lake Mead was this small was May 23, 1957, during construction of Glen Canyon Dam when the entire amount of 12,668,000 af was stored in Lake Mead.

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 …

Microwave-Plasma Disinfector (Origreen), Samir M. El-Ghazaly, Amirreza Ghadimi Avval, Sara Ghayouraneh, Saleh A. Alfawaz, Ibrahim Nasser I. Alquaydheb

Patents Granted

A microwave-plasma disinfector (Origreen) with a microwave source with multi-feed points and variable output power. It also has a low-temperature atmospheric-pressure plasma source. This versatile microwave-plasma disinfector has the ability to decontaminate heat-sensitive materials by subjecting them to a microwave-assisted plasma with controlled microwave power. This dual-action, at suitable non-destructive microwave and plasma doses, sterilizes the equipment at a lower temperature with higher effectiveness than either plasma or microwaves alone.

Vima Group Inc. V. Zhang

All Decisions

Court granted landlord's motion to amend petition to allege the small landlord exemption from GCEL and granted DHCR's motion to quash landlord's subpoena, but granted tenant's summary judgment motion and dismissed the petition because the apartment is presumptively rent stabilized under ETPA as it is in a building built before January 1, 1974 containing at least six residential units, and landlord failed to properly plead a recognized exemption from rent stabilization or a ground for eviction under the Rent Stabilization Code.

Different Chitinase Activity In Nutrient-Enriched Multi-Antagonistic Streptomyces Sp. And Trichoderma Sp. Against Root-Knot Nematodes Meloidogyne Sp., Tri Mujoko, Penta Suryaminarsih, Safira Rizka Lestari

Baghdad Science Journal

The threat of root-knot nematodes to horticultural and plantation crops is a grave concern. To combat this issue, using bacteria and fungi as biological control agents is an effective and efficient approach. This research aims to evaluate the efficacy of Streptomyces sp. strains PS23104 and Trichoderma sp. when grown on nutrient-enriched media as a biological control agent for root-knot nematodes Streptomyces sp. PS23104 and Trichoderma sp. were cultured on enriched EKG media with malt extract, glucose nitrate, pure coconut water, and molasses, while potato extract media without nutrient addition served as the control. The findings indicate that both Streptomyces sp. …

Study Of The Correlation Between Asprosin And Insulin Resistance In Obese And Normal-Weight Pcos Patients, Walaa Najm Abdulwahid, Reem M. Obaid

Baghdad Science Journal

Fatty tissue is considered an endocrine organ that produces a type of hormone called Adipokine; this hormone is specifically secreted by adipose tissues, such as asprosin. Polycystic Ovarian Syndrome (PCOS) is the most common hormonal condition throughout the years of reproduction in females, manifesting with a significant frequency of decreased glucose tolerance, increased serum androgen levels, and type 2 diabetes among female sufferers who are overweight or obese. The current investigation included 120 PCOS patients (40 obese, 40 normal weight) and 40 healthy women; samples were collected from July to December 2024 at Kamal al-Samarrai Hospital in Baghdad, Iraq. Serum …

Histopathological And Immunological Effects Of Tamanu Oil Nanoemulsion On Imiquimod Induced Psoriasis In Albino Rat Skin, Israa Mahmood Mohammed, Treefa Farouq Ismail

Baghdad Science Journal

Psoriasis is an autoimmune disease caused by T-cell activation. This condition is characterized by skin proliferation and inflammation. This study aimed to enhance tamanu oil bioavailability by green synthesis method, in order to evaluate the potential anti-psoriatic benefits of tamanu oil nanoemulsion in rat skin, based on observational, histopathological, and immunological outcomes. The formulation was prepared by phase inversion temperature technique. The physical and chemical characteristics include: droplet morphology, size, zeta potential, pH, and stability. The formulation exhibited a spherical and small globule size of less than 100 nm, good zeta potential (–23.9 mV), suitable pH (5.3) and physically stable. …

Bioactivity Of Chitosan Coated Nanoparticles Biosynthesized Using Yeast Against Hypervirulent Klebsiella Pneumoniae (Hvkp), Sura Alaa Suod, Huda Suhail Abid Al-Hayanni

Baghdad Science Journal

Multidrug-resistant (MDR) bacteria are becoming one of the most pressing problems worldwide and are becoming difficult to treat; therefore, nanotechnology is a promising alternative technology. The current study aimed to biosynthesize chitosan Saccharomyces cerevisiae nanoparticles (ScNPs) and evaluate their antibacterial activity against hypervirulent Klebsiella pneumoniae (HvKp). Five K. pneumoniae isolates from different clinical sources were screened for extended-spectrum beta-lactamase (ESBL) production and virulence tests. ScNPs were synthesized and characterized. The antibacterial activity of ScE and ScNPs was determined. The result showed that five bacterial isolates were confirmed as K. pneumoniae and displayed highly virulent and resistant capabilities, hence classifying them …

Cytokine Profiles In Rheumatoid Arthritis: Relationship Of Tnf-Α , Il-17, And Il-13 With Autoantibodies (Rf And Anti-Ccp) And Clinical Disease Severity, Sonia Elia Ishaq, Taban Kamal Rasheed, Niaz Albarzingi

Baghdad Science Journal

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation and autoantibody production. This study aimed to assess serum levels of TNF-α , IL-17, and IL-13 in RA patients and to explore their association with disease severity and autoantibody status in comparison to healthy controls. The study involved 67 RA patients and 20 healthy individuals. Patients were initially classified based on autoantibody status (RF-positive vs. RF-negative and anti-CCP-positive vs. anti-CCP-negative), and further categorized into low, moderate, and high disease activity groups. Cytokine levels were measured by ELISA, CRP and RF by turbidimetry, and anti-CCP levels by electrochemiluminescence immunoassay. …

Foliar Application Of Methyl Jasmonate And Titanium Nanoparticles Mitigates The Negative Effects Of Salinity On Lettuce Plants, Tahani J. Hijazin

Baghdad Science Journal

Salinity stress is one of the major abiotic factors that significantly impact plant growth. In this regard, this work investigated a way to alleviate the adverse impacts by simultaneously spraying methyl jasmonate and titanium nanoparticles on lettuce (Lactuca sativa L.) plants, which are grown under induced salinity conditions. Two concentrations of salt (100 and 150 mM NaCl) were applied to the plants. After that, simultaneous spraying of methyl jasmonate (0.5 and 1 mM) and titanium nanoparticles (100 and 200 mg/L) was performed on lettuce leaves. Following the application of the previous treatments, the plants were collected, and various …

El Dibujo Como Tecnología De Mediación Cognitiva: Pensamiento Visual Y Construcción Del Conocimiento, María Gárgoles Navas

Artículos científicos

Este artículo reconsidera el dibujo más allá de su función repre-sentativa. Se plantea como una tecnología de mediación cognitiva que es capaz de traducir fenómenos complejos en estructuras visuales compren-sibles. Dibujar no consiste solo en registrar ideas previas, sino también im-plica participar activamente en su construcción. Este proceso se produce mediante la interacción entre percepción, gesto y materialidad. En primer lugar, se analiza el dibujo como forma de pensamiento visual corporeizado. La acción de dibujar configura un espacio de exploración cognitiva donde emergen relaciones conceptuales. En segundo lugar, las imágenes cientí-ficas permiten estructurar el conocimiento debido a que actúan como …

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 …

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

Advancing Data-Driven Health Research From The All Of Us Data Training And Engagement Program, Kristi Sadowski, Debran Tarver, Jennifer Burnette, Allissa Dillman, Regina Renfro, Lafrancis Gibson, Kelli Bursey, Laura Bartlett, Nadine Bonds-Bishop, Lisa Connor, Efraín Flores-Rivera, Sarah Joseph, Yuqi He, Margaret Henderson, Savannah L. Kelley, Maletta Payne, Brett Porter, Kimberly Prosper, Melissa Rethlefsen, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

Background: Fulfilling a recognized need in data skills training for academic librarians, the National Library of Medicine and the National Institutes of Health All of Us Research Program collaborated to enhance academic library workers’ skills in biomedical and public health data, as well as their library's research capacity, through the awareness and use of the All of Us Researcher Workbench. Case Presentation: The All of Us Data Training and Engagement Program for Academic Libraries (ALP) blended professional development training, hands-on learning, and peer-to-peer networking that focused on increasing knowledge of the All of Us Researcher Workbench. Activities were designed to …

July 14, 2026 Ereporter, University Of Alabama At Birmingham

eReporter (campus newsletter)

No abstract provided.

State Engagement In Trump Accounts: A Policy-Design And Implementation Framework, Center For Social Development, Washington University In St. Louis, Pennsylvania Treasury Department

Center for Social Development Research

Trump Accounts are IRAs for American children, with a $1,000 federal seed contribution available for those born from 2025 through 2028. Under the current design, families must take two separate steps to request an account. Children whose families do not complete both steps will receive neither the account nor the federal deposit. They also will be excluded from employer matches, philanthropic contributions, and other general contributions to Trump Accounts. The current opt-in design will leave behind the children who need the program most. States are well positioned to address this gap. This Policy Brief proposes a framework for state engagement …