Digital Commons Network^™

Regardless, Jackson Martin

Arrow Rock

No abstract provided.

Co-Creating Ai Learning Solutions: A Qualitative Analysis Of Student And Faculty Deliverables In An Algorithmic Literacy Learning Community, Samantha Legrand, Zoeanna Mayhook, Jing Lu

Libraries Faculty and Staff Scholarship and Research

This research describes the conceptual development and insights from implementation of Partners for Algorithmic Literacy (PAL) - a groundbreaking student-faculty learning community model, facilitated by academic librarians, where undergraduates and instructors partner to co-design curricular plans integrating or interrogating AI in the classroom. In the fall of 2023 and 2024, two cohorts in this learning community were partnered. In weekly sessions, partners experimented with AI tools and engaged PAL’s novel Algorithmic Literacy Pedagogy Framework to guide their conversations and co-design process.

Employing qualitative content analysis, an in-depth exploration is underway to glean valuable insights from the student-faculty partners’ personal reflections, …

Influence Of Laser Power On Glass Formation In Cu64zr36 Fabricated By Direct Laser Deposition, Max A. Siefert

Mechanical Engineering and Materials Science Independent Study

Metallic glasses, metallic materials with a disordered, non-crystalline atomic structure, can be fabricated by rapidly quenching a specific alloy from the liquid state. One intriguing fabrication strategy is direct laser deposition (DLD), and additive manufacturing technique which involves using a laser to melt small volumes of material, which then cool rapidly once the laser is removed. The goal for this independent study is to find how the laser power during the first remelt affects the overall glass formation ability of Cu₆₄Zr₃₆ alloy fabricated from elemental powders. This was done by using a Laser Engineered Net Shaping machine …

The Nitrogen-Vacancy-Nitrogen Color Center: A Ubiquitous Visible And Near-Infrared-Ii Quantum Emitter In Nitrogen-Doped Diamond, Brett C. Johnson, Mitchell O. De Vries, Alexander J. Healey, Marco Capelli, Anjay Manian, Giannis Thalassinos, Amanda N. Abraham, Harini Hapuarachchi, Tingpeng Luo, Vadym N. Mochalin, Jan Jeske, Jared H. Cole, Salvy Russo

Chemistry Faculty Research & Creative Works

Photoluminescent defects in diamond, such as the nitrogen-vacancy (NV) color center, are at the forefront of emerging optical quantum technologies. Most emit in the visible and near-infrared spectral region below 1000 nm (NIR-I), limiting their applications in photonics, fiber communications, and biology. Here, we show that the nitrogen-vacancy-nitrogen (N2V) center, which emits in the visible and near-infrared-II (NIR-II, 1000-1700 nm), is ubiquitous in as-synthesized and processed nitrogen-doped diamond, ranging from bulk samples to nanoparticles. We demonstrate that N2V is also present in commercially available state-of-the-art NV diamond sensing chips made via chemical vapor deposition (CVD). In high-pressure high-temperature (HPHT) diamonds, …

The Digital Economy And Equitable Access To Jobs In The Mountain West, 2023, Isabelle G. Graham, Caitlin J. Saladino, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data from a Brookings Institution report, “The future of the US digital economy depends on equitable access to jobs,” which compares the share of 2023 employment in highly digital jobs among women and minority groups for select U.S. metropolitan statistical areas (MSAs). This fact sheet reports data for nine Mountain West MSAs: Las Vegas-Henderson-Paradise, NV; Albuquerque, NM; Colorado Springs, CO; Denver-Aurora- Lakewood, CO; Tucson, AZ; Phoenix-Mesa-Chandler, AZ; Salt Lake City, UT; Provo-Orem, UT; and Ogden- Clearfield, UT.

2025 Revised Draft Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A New Algorithm For Finding Initial Basic Feasible Solution Of Spherical Fuzzy Transportation Problem With Applications, K. Hemalatha, Venkateswarlu. B

Baghdad Science Journal

In operation research, a specific area being analyzed in great depth is the transportation problem (TP). The key objective of this problem is to find the lowest total transportation costs for commodities to meet consumer requirements at destinations incorporating resources acquired at their points of origin. In this work, the spherical fuzzy transportation problem (SFTP) determines the lowest cost of carrying items from origin to destination. Most of the time, accurate data has been used, but these variables are actually inaccurate and ambiguous. According to the literature, several generalizations and expansions of fuzzy sets have been proposed and investigated. One …

Solution Of Wave Equation By Linear Regression Artificial Neural Network, Nahdh S. M. Al-Saif, Mahmood A. Shamran, Samah Mohammed Ali, Saad Naji Al-Azzawi

Baghdad Science Journal

Wave partial differential equations are one of the most important topics that model, for example, the wave motion of ground vibrations. Hence, finding approximate solutions to such equations with high accuracy and speed faster than difficult and complex analytical solutions has become possible through the use of artificial intelligence and machine learning methods. This research has three goals. The first is to transform the problem of the initial value of the wave equation into its legal form and find its accurate solution. The second is to write a linear-regression neural network algorithm. The third result is applying this algorithm to …

A Systematic Review On Sentiment Analysis For Sindhi Text, Safdar Ali Soomro, Siti Sophiayati Yuhaniz, Mazhar Ali Dootio, Ghulam Murtaza, Muhammad Hussain Mughal

Baghdad Science Journal

The field of sentiment analysis has experienced significant growth in recent years due to its applications in various domains such as news headlines, online product purchase, marketing, and reputation management. With the rise of social media and online shopping platforms, there is a wealth use-generated data available. This has led manufacturing, sales, and marketing companies to seek global feedback on their practices and products from these sources. In the context of Sindhi language, millions of phrases are shared daily on news media sites, Twitter, Facebook, and other platforms. However, the exclusion of sentiment analysis for Sindhi language limits the utilization …

Image Encryption Based On Chaotic Blocks Shuffling And Rc4, Donia Fadil Chalob, Rusul Hussein Hasan, Farah Neamah Abbas

Baghdad Science Journal

The necessity for image encryption has grown significantly, especially the rapid development of the Internet of Things (IoT) fast development and the ease with which images can be taken and transferred, including those related to travel, health care, the agricultural sector, the military and autos. Additionally, since every image has significant characteristics like size, high correlation, and massive redundant positions, encrypting it with a conventional key via IoT communication technology exposes it to numerous threats. Chaotic image cryptography is considered the most suitable method for image application due to its sensitivy to the initial conditions and control parameters. This research …

An Improved Deep Perceptual Hashing Algorithm-Based Information Retrieval System For Remote Cloud Computing, Othman Atta Ismael, Israa Fars Hassan

Baghdad Science Journal

The growth of information retrieval and associated services can be attributed to technical advancements. Meanwhile, traditional information retrieval methods are impacted by performance, accuracy, and scalability limitations. An information retrieval system for distant cloud computing that is based on an Improved Deep Perceptual Hashing Algorithm (IDP-HA) is one of the solutions that have been developed to solve these constraints. Systems are widely used due to their ability to recognize intricate patterns in data. The accuracy of information similarity measurement is still lacking due to the inherent complexity of data and measuring methods. The deep perceptual hashing approach uses Deep Neural …

Student Research Project Engineers Better Cpr Training, Aaron Sanborn

UNH Today Archive

No abstract provided.

The Aquatic Symbiosis Genomics Project: Probing The Evolution Of Symbiosis Across The Tree Of Life, Matthew Berriman, Victoria Mckenna, Roxanne Beinart, John M. Archibald, Ute Hentschel, Michael N. Dawson, Jose V. Lopez, Patrick J. Keeling, Jillian M. Petersen, Anne W. Thompson, Multiple Addiional Authors

Biology Faculty Publications and Presentations

We present the Aquatic Symbiosis Genomics Project, a global collaboration to generate high quality genome sequences for a wide range of eukaryotes and their microbial symbionts. Launched under the Symbiosis in Aquatic Systems Initiative of the Gordon and Betty Moore Foundation, the ASG Project brings together researchers from across the globe who hope to use these reference genomes to augment and extend their analyses of the dynamics, mechanisms and environmental importance of symbioses. Applying large-scale, high-throughput sequencing and assembly technologies, the ASG collaboration will assemble and annotate the genomes of 500 symbiotic organisms – both the “hosts” and the microbial …

A Circular Economy Framework For Reducing Construction Waste During The Design Process In Egyptian Architectural Design Firms, Ayman Ahmed Ezzat Othman, Abeer Ahmed Kamel, Fatma Othman Alamoudy

Architectural Engineering

Purpose – Construction waste drivers, amplified by the linear economy model, contribute significantly to resource consumption and waste generation across various phases of the construction process. Recognizing the critical influence of the design process on these outcomes, this study aims to develop a framework integrating circular economy to reduce construction waste and promote sustainable practices during the design process within architectural design firms in Egypt.

Design/methodology/approach – A qualitative and quantitative research approach was used to accomplish four objectives. A comprehensive literature review explored the concepts of construction waste, the design process, the circular economy and Egypt’s Sustainable Development Strategy …

Evaluating The Protective Role Of Epo-R76e In Oxidative Stress-Induced Cell Death In Retinal Pigment Epithelium, Jemima Alam

USF Tampa Graduate Theses and Dissertations

Age-Related Macular Degeneration (AMD) causes dysfunction and loss of Retinal pigment epithelium (RPE). The degeneration and death of RPE cells causes irreversible visual impairment. Oxidative stress is a widely accepted triggering factor for RPE dysfunction. A hormone called Erythropoietin (EPO) is responsible to facilitate the erythropoiesis process, prevents progenitor cells from apoptosis and protects photoreceptors downregulating retinal degeneration. In this study, we aim to elucidate the role of EPO in downregulating oxidative stress in RPE. It is hypothesized that EPO will have a positive impact on suppressing oxidative stress and ferroptosis-mediated RPE degeneration due to its vital role in apoptosis …

Progress Towards The Asymmetric De Novo Synthesis Of Tetracyclic Triterpenoids: Cucurbitanes, Lanostanes, And Cardiotonic Steroids, Andrea Rachel Bucknam

Dartmouth College Ph.D Dissertations

The complex molecular scaffolds of tetracyclic triterpenoid natural products continue to inspire novel chemical reactions. Steroid-based drugs have contributed significantly to human health in the past century, demonstrating a broad range of therapeutic applications including anti-viral, anti-inflammatory, and anti-cancer activities. However, the efficient and flexible synthesis of tetracyclic triterpenoids remains an unsolved problem. Despite numerous reports of medically relevant bioactivity associated with cucurbitanes, lanostanes, and cardenolides, exploration of their pharmaceutical promise has been limited by a lack of access to molecules bearing their requisite carbon frameworks. Prior to the initiation of my doctoral research, there were no reported syntheses of …

Initial Crisis Leadership During Covid-19 Higher Education: A Systematic Review, Joseph Crawford, Kerryn Butler-Henderson, Karima Lalani, Jürgen Rudolph, Sabu K.M.

Faculty, Staff and Student Publications

The effect of the novel coronavirus pandemic (COVID-19) on the higher education sector is profound. The scholarly research on COVID-19 effects in higher education have largely focused on presenting intra-period facts, often with poor contextualisation to the broader evidence base. This manuscript draws on the first comprehensive systematic literature reviw database comprising 138 publications, the COVID-19 in Higher Education Database, to provide a first glance at six months of COVID-19 crisis leadership responses in the higher education sector. This systematic review aims to consolidate learning and teaching literature between 1 January 2020 and 30 June 2020 to share timely educational …

Restricted Nonlinear Simulations Of Flow Over Riblets: Characterizing Drag Reduction And Its Breakdown, Xiaowei Zhu, Bianca Fontanin Viggiano, Benjamin A. Minnick, Dennice Gayme

Mechanical and Materials Engineering Faculty Publications and Presentations

The restricted nonlinear (RNL) model is employed as low-order representation of turbulent flow over riblets at 𝑅𝑒𝜏 ≈ 395. Comparisons with direct numerical simulations (DNS) verify the ability of the model to accurately capture low-order statistics, as well as trends in drag-alteration and secondary motion as a function of riblet geometry and spacing. We demonstrate the ability of the RNL model to reproduce additional flow features by decomposing the roughness function to isolate contributions from the total stress and comparing its predictions to DNS data. An analysis of the spectra of Reynolds shear stress shows that the RNL model captures …

Heterozygous Kmt2d Loss Diminishes Enhancers To Render Medulloblastoma Cells Vulnerable To Combinatory Inhibition Of Lsd1 And Oxphos, Shilpa S Dhar, Calena Brown, Ali Rizvi, Lauren Reed, Sivareddy Kotla, Constantin Zod, Janak Abraham, Jun-Ichi Abe, Veena Rajaram, Kaifu Chen, Min Gyu Lee

Faculty, Staff and Student Publications

The histone H3 lysine 4 (H3K4) methyltransferase KMT2D (also called MLL4) is one of the most frequently mutated epigenetic modifiers in many cancers, including medulloblastoma (MB). Notably, heterozygous KMT2D loss frequently occurs in MB and other cancers. However, its oncogenic role remains largely uncharacterized. Here, we show that heterozygous Kmt2d loss in murine cerebellar regions promotes MB genesis driven by heterozygous loss of the MB-suppressor gene Ptch via the upregulation of tumor-promoting programs (e.g., oxidative phosphorylation [OXPHOS]). Downregulation of the transcription-repressive tumor suppressor NCOR2 by heterozygous Kmt2d loss, along with Ptch

A Digital Pixel Sensor Having Decreased Pixel Size

Defensive Publications Series

A pixel array includes a photodiode array and an ADC-memory array underlying the photodiode array, where the photodiode array includes a plurality of photodiode groups, and each photodiode group shares a common ADC element from within the ADC-memory array.

An Exploration Of The Impact Of Educational Background On Basic Science And Life Sciences Librarians, Laura Lipke, Margaret Hoogland, Jeremy Kupsco, Stephanie Schulte

Library Scholarship

This study sought to investigate the influence of a science educational background on librarian interactions with basic and life sciences programs. Through semi-structured interviews with 14 librarians, the study identified several key themes: understanding and enjoying science is beneficial; previous experience influences librarians’ approaches; relationships are important; defining success is challenging; and collaborating with other campus units is unusual. Results suggest a science undergraduate or graduate degree and previous science-related work experience enhance librarians’ comfort and communication with scientists and highlight a lack of professional continuing education related to researcher workflows.

Integrated Geochemical, Geoelectrical, And Uav-Based Methods For Analyzing The Güzelyalı Landslide (Çanakkale, Türkiye), Oya Erenoğlu, Emi̇n Ulugergerli̇, R. Cüneyt Erenoğlu, Abdullah Akbaş, Ahmet Evren Ergi̇nal

Turkish Journal of Earth Sciences

The number of reactivations increased in the Güzelyalı-Erenköy landslide area after 2013 in Çanakkale, Türkiye, where historical landslide activity has been recorded since 1875. This area is home to numerous summer residences and experiences ongoing slow-moving landslide activity along a 400-m-long slope, extending from the heavily trafficked Çanakkale-İzmir highway to the coastline. In this study, the nature of the reactivations was evaluated by considering the conditioning and triggering factors that contributed to the landslide. The evaluation was based on geochemical analyses, field observations, geoelectric measurements, and unmanned aerial vehicle (UAV) data. The results revealed that the sliding occurred along a …

Clinician Attitudes And Perceptions Of Point-Of-Care Information Resources And Their Integration Into Electronic Health Records: Qualitative Interview Study, Marlika Marceau, Sevan Dulgarian, Jacob Cambre, Pamela M Garabedian, Mary G Amato, Diane L Seger, Lynn A Volk, Gretchen Purcell Jackson, David W Bates, Ronen Rozenblum, Ania Syrowatka

Faculty, Staff and Students Publications

Background: Electronic health records (EHRs) are widely used in health care systems across the United States to help clinicians access patient medical histories in one central location. As medical knowledge expands, clinicians are increasingly using evidence-based point-of-care information (POCI) resources to facilitate clinical decision-making in medical practices. While these tools can improve clinical outcomes, few studies have assessed clinicians' opinions on integrating them with EHRs.

Objective: This study aims to assess clinicians' attitudes and the perceived value of POCI resources for finding medication- and disease-related information in clinical practice and their integration with EHRs.

Methods: Semistructured interviews were conducted with …

First Record Of Scyphocrinoids In Türkiye And Recognition Of The Silurian/Devonian Boundary Interval (Halevikdere Section, Eastern Taurides), Eberhard Schindler, Reimund Haude, Mehmet Namik Yalçin, Rainer Brocke, Ati̇ke Nazi̇k, Emine Şeker Zor, Volker Wilde, Achim Wehrmann

Turkish Journal of Earth Sciences

During the Silurian/Devonian (S/D) boundary interval, scyphocrinoids (Crinoidea, Echinodermata) flourished on a global scale. The first record of scyphocrinoids from Türkiye, especially represented by their bulbuous loboliths, is now described from the Halevikdere Section in the Eastern Taurides. The Devonian part of the section is more than 1300 m thick and covers a time span from the S/D boundary interval to the Late Devonian (Famennian). It consists mainly of fine-grained to sandy siliciclastics, event-driven conglomerates/fanglomerates and biogenic carbonates deposited in deep shelf to shallow-water coastal settings. The S/D boundary interval was measured and studied in great detail. The dominant lithology …

The Quaternary Fluvial-Lacustrine System In The Akarçay Basin (Sw Anatolia): Depositional Environments And Paleoclimatic Interpretation, Koray Aktürk, Sevi̇nç Kapan

Turkish Journal of Earth Sciences

The Akarçay Closed Basin, located in southwest Anatolia, contains deformed formations and the drying Akşehir and Eber lakes. This study aimed to interpret the paleoenvironmental and paleoclimatic conditions of the Akşehir and Eber lakes, which are reported to have been connected during the Pleistocene. Based on sedimentological and mineralogical data, three different depositional subenvironments were defined, corresponding to the formation and development stages of the lake. Sedimentary facies analysis of the Pleistocene deposits in the basin revealed the following facies associations, listed from bottom to top: 1) an alluvial fan and fluvial facies association, representing the formation stage of the …

Formation Of Holocene Paleosols In A Relict Sand Dune Sequence At Kıyıköy, Türkiye, Ahmet Evren Ergi̇nal, Mustafa Bozcu, Nuretti̇n Yakupoğlu, Abdullah Akbaş, Hakan Kaya, İsmai̇l Onur Tunç

Turkish Journal of Earth Sciences

The paleoclimatic indicators from a relict dune and paleosol sequence observed south of Kıyıköy Port, NW Türkiye, provide insights into the variable paleoclimatic conditions in the western Black Sea coastal zone over the last 4700 yrs BP. The relict dune- paleosol sequence consists of reddish-brown coarse sands with abundant shells and overlying paleosol. Radiocarbon dating of Donax trunculus shells collected from the lowest part of the relict dune revealed the onset of sand deposition 4689 ± 123 yrs ago. The dark-colored paleosol layer, with an Rb/Sr ratio of 0.008, yielded an age of 287 ± 32 yrs cal BP. These …

U-Pb Calcite Geochronology, Epr, Geochemistry, And C-O-Sr Isotopes Of Africanomarbles In The Seferihisar (İzmir, Türkiye) U-Pb Calcite Geochronology, Epr, Geochemistry, And C-O-Sr Isotopes Of Africano Marbles In The Seferihisar (İzmir, Türkiye), Fatma Şi̇şman Tükel, Namik Aysal, İpek Deni̇z Yildirim, Marcel Guillong, Tonguç Uysal, Si̇nan Öngen, Emre Erdem

Turkish Journal of Earth Sciences

The Africano marbles (Africano Verde and Bigio Africano) extracted from the region of Sığacık (ancient Teos) region and its surroundings were widely used and even traded in construction and decorative items throughout the Roman period due to their brecciated and colourful appearance. There are two different types of Africano marble, the first consisting of marble breccias embedded in a dark matrix. In this type, the marble breccias show micritic, microsparitic, and sometimes sparitic textures formed by coarse-grained calcite, while the dark matrix consists of chlorite and/or serpentine minerals. The second type is Bigio Africano, which consists of grey-blue homogeneous limestones, …

The Impact Of Artificial Intelligence On Esg: A Conceptual Framework For Practitioners And Policymakers, Mario Marlito R. Domingo

Journal of Management for Global Sustainability

The growing integration of artificial intelligence (AI) into corporate ecosystems has reshaped the Environmental, Social, and Governance (ESG) landscape. While AI offers powerful tools for sustainability optimization, social equity advancements, and governance automation, it also introduces significant challenges such as high energy consumption, bias in algorithmic decision-making, and regulatory uncertainties. Existing research often isolates these aspects rather than examining AI’s role within an interconnected ESG framework. This paper presents a conceptual framework—the AI-ESG Integration Model—for systematically analyzing AI’s dual impact on ESG initiatives. The model categorizes AI’s influence into three pillars: 1) AI’s role in environmental sustainability (E), addressing energy-intensive …

Teachers’ Use Of Generative Artificial Intelligence For Designing Science Lessons In Support Of Environmental Science Agency, Won Jung Kim

Teacher Education

Generative Artificial Intelligence (GenAI) holds promise as a tool to assist teachers in addressing specific instructional design and implementation tasks. This study explores how teachers in a master’s-level elementary science methods course used Large Language Model AI, as one type of GenAI, to design lessons fostering students’ environmental science agency (ESA). The course introduced ESA as one of pedagogical constructs that emphasize the importance of science learning relevant and consequential to students’ lives, and encouraged teachers to use GenAI for their ESA-focused lesson design projects. Data sources included surveys, lesson design documents, GenAI chat logs, and field notes. Findings, derived …

Examining How Self-Advocacy Skills Are Taught To Students With Exceptionalities, Pamela Kay Choate

Walden Dissertations and Doctoral Studies

Students with mild to moderate exceptionalities often do not receive adequate instruction in self-advocacy skills during their elementary or middle school years. The specific problem addressed in this study was that many teachers at the research setting are not teaching the four component skills of self-advocacy to students with mild to moderate exceptionalities. Grounded by the theory of self-advocacy, the purpose of this basic qualitative study was to explore the strategies used and the barriers faced by teachers who are not teaching the four component skills of self-advocacy to students with mild to moderate exceptionalities. Four elementary and five middle …