Digital Commons Network^™

Elementary Teachers’ Use Of Sphero Robots To Teach Computational Thinking, Marquita Jackson

Walden Dissertations and Doctoral Studies

The power of play has often been used in K–5 classrooms, but it has not always been implemented as a way to teach computational thinking skills. The use of educational robots such as Sphero have been explored, but not with young learners. The research problem addressed through this study was the lack of understanding of K–5 teachers’ experiences in using Sphero robots to teach computational thinking. The purpose of this basic qualitative study was to explore K-5 teachers’ experiences in implementing Sphero robot activities and specifically to teach computational thinking. The conceptual framework included Magana’s T3 model and Angeli’s computational …

Patent Searching With Uspto, Derwent Innovation And Lens.Org, Ibis Anette Moreno-Lozano

Day Family Research Lab Workshop Series

No abstract provided.

High-Resolution Lidar Observations Of Sedimentation-Induced Size Sorting Of Droplets Near A Laboratory Cloud Top, Fan Yang, Yong Meng Sua, Zipei Zheng, Jesse Anderson, Hamed F. Sadi, Jae Min Yeom, Suryadev Pratap Singh, Pei Hou, Will Cantrell, Ernie Lewis, Alex Kostinski, Raymond Shaw

Michigan Tech Publications

No abstract provided.

Electrochemical Detection Of Aβ42 And Aβ40 At Attomolar Scale Via Optimised Antibody Loading On Pyr-Nhs-Functionalised 3d Graphene Foam Electrodes, Muhsin Dogan, Sophia Nazir, David Jenkins, Yinghui Wei, Genhua Pan

School of Engineering, Computing and Mathematics

Alzheimer’s Disease (AD) is one of the most commonly seen neurodegenerative disorders, where early detection of its biomarkers is crucial for effective management. Conventional diagnostic methods are often expensive, time-consuming, and highly complex, which highlights an urgent need for point-of-care biosensing technology. In this work, we developed assays on three-dimensional (3D) graphene foam electrodes by functionalising them with a 1-Pyrenebutyric acid N-hydroxysuccinimide ester (Pyr-NHS) to enable effective antibody immobilisation for the detection of amyloid beta peptides (Aβ42 and Aβ40), key biomarkers for AD. Pyr-NHS linkers were used for stable functionalisation, followed by binding with Aβ42 and Aβ40 antibodies, and then …

Midweek Memo, Georgia Southern University

Midweek Memo

• Applaud
• Remember
• Share
• Experience
• Around the Nest

Ifnγ-Driven Skewing Towards Th1 Over Th17 Differentiation Underlies Crs And Neutropenia In Car-T Therapy, Payal Goala

USF Tampa Graduate Theses and Dissertations

CAR-T therapy has improved overall and complete response rates, andprolonged progression free survival of patients with relapsed/refractory hematological malignancies. The short-term and long-term impacts of anti-CD19 CAR-T products on the immune landscape of B cell malignancies has garnered considerable attention in recent years. Most notably, a subset of patients experience high-grade cytokine toxicities, including cytokine release syndrome and immune cell-associated hematologic toxicity that manifest as prolonged cytopenia. Whereas etiology of CRS is more well established, the mechanisms leading to CAR-T associated cytopenia remains elusive. Rejeski et. al. showed that severe cytopenia in patients post CAR-T treatment led to frequent infections …

A Canadian Advanced Physiotherapist Practitioner Shared-Care Model In Pediatric Rheumatology Offers Safe And Quality Care In The Management Of Juvenile Idiopathic Arthritis-Comparing Key Performance Indicators With The Pr-Coin Registry., Julie Herrington, Patrick Clarkin, Jade Singleton, Karen Beattie, Sheetal S. Vora, Katelyn Banschbach, Catherine A. Bingham, Tania Cellucci, Danielle Fair, Mileka Gilbert, Beth Gottlieb, Julia G. Harris, Liane Heale, Tzielan Lee, Melissa L. Mannion, Edward J. Oberle, Nancy Pan, Jonathan Park, Mary Toth, Jennifer E. Weiss, Michelle Batthish, Pediatric Rheumatology Care And Outcomes Improvement Network

Manuscripts, Articles, Book Chapters and Other Papers

Background/Objectives: Canadian Advanced Physiotherapist Practitioner (APP) roles have existed for over 25 years in pediatric rheumatology. The APP can manage many common pediatric rheumatic conditions most often in Shared-Care Models (SCMs) with pediatric rheumatologists (PRs). The quality of care children receive in an APP SCM compared to traditional care is unknown. The Pediatric Rheumatology Care and Outcomes Improvement Network (PR-COIN) tracks quality measures as Key Performance Indicators (KPIs) in juvenile idiopathic arthritis (JIA) care. This study aimed to analyze the frequency of KPIs documented in a pediatric rheumatology APP SCM from a single center and compare to PR-COIN's performance …

Mechanical, Durability, And Environmental Performance Of Limestone Powder-Modified Ultra-High-Performance Concrete, Yashovardhan Sharma, Meghana Yeluri, Srinivas Allena

Civil and Environmental Engineering Faculty Publications

Ultra-high-performance concrete (UHPC) delivers outstanding durability and strength but typically relies on high Portland cement content. This study evaluates a 20% cement replacement with limestone powder (LP) in UHPC and benchmarks performance under two curing regimes: moist curing (MC) and warm bath curing at 90 degrees C (WB). Metrics include workability, compressive and flexural behavior, shrinkage, freeze-thaw resistance, chloride transport (surface resistivity, RCPT), material cost, and embodied CO2. LP improved fresh behavior: flow increased by 14.3% in plain UHPC and 33% in fiber-reinforced UHPC (FR-UHPC). Compressive strengths remained in the UHPC range at 28-56 days (approximately 142-152 MPa with LP), …

Genetically Modified Crops In Africa: Evidence On Adoption, Economic Benefits, Environmental Effects, And Constraints, Aloyce Hepelwa, Innocensia John

Tanzanian Economic Review

Africa faces deep food insecurity with over 300 million undernourished people driven by, low agricultural productivity, and climate shocks. To enhance food production and sustainable development, there is potential seen in genetically modified (GM) crops. To explore the potential of GM crops, this paper examines their production, adoption, economic and environmental impacts, adoption barriers, and policy implications in Africa and globally. This is done using a structured narrative review of peer-reviewed literature, reports, and policy documents (2014–2024) sourced from different databases complemented by stakeholder consultations. The findings show that GM has expanded considerably worldwide driven by high productivity, reduced pesticide …

Advancing Sustainable Co2 Mitigation: Experimental And Computational Analysis Of Thermal Carbon Chitosan Sorbent For Automotive Exhaust Capture, Dalia A. Ali Dr., Amir Ahmed Elgamal Eng., Rania Rushdy Moussa Dr.

Chemical Engineering

This study investigated the efficiency of thermal carbon chitosan (TCCS) sorbent for CO2 capture from vehicle exhaust emissions within a designed adsorption system. TCCS was synthesized and meticulously characterized using a series of analytical techniques, including Brunauer-Emmett-Teller (BET) surface area analysis, Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Ther- mogravimetric Analysis (TGA), Energy Dispersive X-ray Spectroscopy (EDX), and Differential Scanning Calo- rimetry (DSC). The TCCS adsorbent showed high thermal stability and a heating value (HHV) of 23.5 MJ/kg. Adsorption isotherm study demonstrated that the maximum capacity of CO2 adsorption is 0.084 kg.CO2/kg. TCCS, as well …

Ian Colburn, Ian Colburn, Katie Slack

Oral Histories of Farming along the Middle Rio Grande

No abstract provided.

Nonlinear Excitation Control Of Multimachine Systems Via The Invariant-Set Design, Ehab Bayoumi

Mechanical Engineering

Power grids are inherently vulnerable to many uncertainties. All power networks are prone to instability because of the uncertainties inherent in the operation of power systems. Rotor-angle instability is a challenging issue, and if not properly managed, could give rise to cascading failures and even blackouts. This paper addresses the generator excitation system’s state feedback sliding mode control (SMC). The global system is divided into multiple subsystems to achieve decentralized control. A disturbance is defined as the influence of the system as a whole on a specific subsystem. The state-feedback controller is to be designed taking into account the disturbance …

2025-12 December Newsletter, Sammi Williams

NMOER Newsletters

No abstract provided.

Fall 2025 Issue Co-Editor Letter, Cambria Sheridan, Mckenzie M. Lemhouse

South Carolina Libraries

No abstract provided.

A Conversation With Paolo Lugari, Founder Of Las Gaviotas, Colombia, Jonathan Andelson

Communal Societies

No abstract provided.

Empowering Students For Success In The Workplace, Amelia Baker, Brian Wooten, Ahmad Ali, Christine Ziegler, Judy Craven, Nicole Phillips, Justin Lawhead

Symposium of Student Scholars

Although a bachelor's degree is commonly viewed as a pathway to career success, many students graduate without the practical skills and real-world knowledge needed to thrive in the workplace (Song, 2025). Employers are placing greater importance on critical thinking and soft skills such as communication and collaboration—areas that traditional academic programs may not always prioritize. In spring 2025, a multi-institutional team developed and completed a research study evaluating the curriculum of a course focused on preparing students for the workforce. Individuals in business, government and/or non-profit communities reviewed the current course curriculum and offered insight for emerging trends needed to …

Supporting Best Practices In Family Engagement: Our Week Of The Young Child Experience, Michelle Fazio Brunson, Faith S. Birdwell, April Giddens

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

Family engagement is a collaborative process where early childhood professionals, families, and children build positive, goal-oriented relationships. Incorporating family engagement into preschool programs is not merely beneficial but essential for promoting holistic child development in programs where children feel safe, cared for, and secure. In this article, we share the benefits of effective family engagement activities for families with young children and describe how we celebrated the National Association for the Education of Young Children's 2025 Week of the Young Child.

Learning To Love Science: Preservice Elementary Teachers Conceptualizations Of Science Teaching And Self-Efficacy To Teach Science, Christine Mcgrail, Stephanie B. Purington, Alicia Gonzales

Excelsior: Leadership in Teaching and Learning

No abstract provided.

Teachers’ Thoughts About Using Ai Technologies In Classroom Lessons, Francine Falk-Ross, Peter Mcdermott

Excelsior: Leadership in Teaching and Learning

No abstract provided.

The Early Translation Of Ellen G. White Books Into Spanish, Gluder Quispe

Ellen White and Current Issues Symposium

No abstract provided.

Improving Road Safety Through Multimodal Deep Learning For Driver Drowsiness Detection, Hadel A. Hussain, Mohammed A. Subhi, Ahmed S. Al Tmeme, Ahmed D. Radhi, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

One of the most common causes of road accidents globally is driver drowsiness and it needs solutions that are reliable and can be applicable in numerous real-life situations. We present this paper with the aim of developing a deep-learning system that is capable of reliably detecting drowsiness in diverse and varied conditions across different drivers, environments, and sensor types. Our system is known as Multimodal Attention Network (MMAN), which combines information of eye and head movement, heart-rate and breathing pattern, and vehicle-dynamics signal. MMAN has a gradient-reversal layer that enables the layer to be domain-adaptive such that it does not …

Deep Learning-Based Fog-Cloud Approach Intrusion Detection System In Iomt, Yahya Rbah, Mohammed Mahfoudi, Mohammed Fattah, Younes Balboul, Said Mazer, Moulhime Elbekkali

Iraqi Journal for Computer Science and Mathematics

The Internet of Medical Things (IoMT) creates an interconnected environment linking humans, devices, sensors, and systems, enhancing healthcare services through advanced technologies. Nonetheless, these IoMT devices are susceptible to cyberattacks, which can endanger patient safety and healthcare services. To identify and mitigate cyberattacks in IoMT, techniques such as threat intelligence, log monitoring, and intrusion detection systems are employed. As attackers evolve their strategies, there is a growing trend towards leveraging artificial intelligence to achieve more predictive and accurate attack detection. Since IoMT devices are inherently low-power, they require minimal computing resources. Existing intrusion detection systems are generally trained in the …

Multitaskvenationnet: A Multi-Task Deep Neural Network With Strip Pooling And Hybrid Upsampling For Leaf Vein Segmentation, Ishak Ariawan, Ahmad Ashari, Moh. Edi Wibowo

Iraqi Journal for Computer Science and Mathematics

Leaf vein segmentation is a critical task in plant phenotyping and species classification, yet it remains challenging due to the hierarchical, curvilinear nature of veins and interference from complex backgrounds. Existing methods face three key limitations. First, they lack directional context modeling, leading to blurred vein boundaries and the omission of fine venation. Second, they fail to effectively capture global dependencies, limiting semantic coherence across spatial regions. Third, they do not incorporate explicit mechanisms for detecting vein discontinuities, which is essential for complete topological understanding. To address these challenges, we propose MultiTaskVenationNet (MTV-Net), a multi-task deep segmentation framework that integrates …

Autonomous Causal Inference Using Artificial Intelligence Agents, Teginder Singh, Ramakrishnan Neelakandan, Bakul Patel, Justin Chen, Kiran Dattani, Sean Hamill, Jacob Van Bochove

Defensive Publications Series

Post-market drug-safety procedures, known as pharmacovigilance, require a team of skilled physicians or epidemiologists to manually investigate each adverse event. This disclosure describes artificial intelligence (AI) agent-based, cloud computing techniques that automate the end-to-end cognitive workflow of investigating potential adverse drug events (ADEs). Moving beyond current techniques, which only perform statistical signal detection, the described techniques enable the determination of biological causality. Upon receiving a statistical signal of an adverse event, plausible biological hypotheses that can explain the signal are autonomously generated. A set of specialized software agents are dispatched to forage for evidence across disparate data sources (real-world evidence …

Performance Of Adaptive Wingtips On A Tailless Supersonic Business Jet, Khushi Piparava

2025 Fall Honors Capstones Projects - Archive

The growing interest in supersonic business travel has renewed focus on efficient, low-drag configurations that can achieve high performance while maintaining stability and structural integrity. This research investigates the aerodynamic and structural implications of adaptive folding wingtips on a tailless supersonic business jet (SBJ) concept designed under the SkyBreaker senior design program. Using a conceptual aerodynamic model based on linearized supersonic theory, the Polhamus leading-edge suction analogy, and an empirical compression-lift correlation, the study evaluates how varying wingtip droop angles influence lift, drag, lift-to-drag ratio (L/D), and static stability. The analysis was performed parametrically in MATLAB, using geometry inputs derived …

From Cafes To Competitiveness: The Influence Of Amenities On Office Values And Suburban Economic Development In Portland, Or, Jihye Kang

Dissertations and Theses

This dissertation examines the spatial and economic implications of urban amenities in the formation of suburban office markets in the post-pandemic period. The research applies principles from agglomeration theory, spatial econometrics, and urban planning to analyze the statistical relationships between amenity distribution, rent formation, and location behavior across central and non-central submarkets.

The research consists of three integrated papers focused on the Portland–Vancouver–Hillsboro, OR–WA Metropolitan Statistical Area (MSA). The first paper employs spatial econometric modeling, specifically a Spatial Autoregressive Model with Autoregressive Disturbances (SARAR), to examine the relationship between proximity to cafés and office rent levels in Portland’s central business …

Interview With Orca Award Winner John J. Janovy, Jr., Unl Biological Sciences; Parasitologist And Author, Mark Griep, John J. Janovy Jr.

UNL ORCA Interview Series

Professor John Janovy, Jr., was awarded the ORCA in 1998. John was born in Louisiana, but his family moved to Oklahoma, where he grew up in Tulsa and then Oklahoma City. Something in his youth must have sparked an interest in science because he earned three degrees from the University of Oklahoma in Norman: a bachelor of science in math in 1959, a master of science in zoology in 1962, and doctoral degree in zoology in 1965. Next, he ventured 1400 miles east to Rutgers University in New Brunswick, New Jersey, where he did post-doctoral work for about a year. …

Elevated Lactate In Aml Bone Marrow Contributes To Macrophage Polarization Via Gpr81 Signaling., Celia A Soto, Maggie L Lesch, Jennifer L Becker, Azmeer Sharipol, Amal Khan, Xenia L Schafer, Zhewen Li, Amanda R Streeter, Michael W Becker, Joshua C Munger, Benjamin J Frisch

Oncology Articles

Interactions between acute myeloid leukemia (AML) and the bone marrow microenvironment (BMME) are critical to leukemia progression and chemoresistance. In the solid tumor microenvironment, altered metabolite levels contribute to cancer progression. We performed a metabolomic analysis of AML patient bone marrow serum, revealing increased metabolites compared to age- and sex-matched controls. The most highly elevated metabolite in the AML BMME was lactate. Lactate signaling in solid tumors induces immunosuppressive tumor-associated macrophages and correlates with poor prognosis. This has not yet been studied in the leukemic BMME. Herein, we describe the role of lactate in the polarization of leukemia-associated macrophages (LAMs). …

Online Decision Mamba, Trenton W. Ruf

Dissertations and Theses

Online in-context reinforcement learning enhances offline-trained policies through online fine-tuning. We introduce Online Decision Mamba (ODM), an architecture that replaces the attention mechanism in Online Decision Transformers (ODT) with the Mamba module to improve long-context sequence modeling and overall RL performance. We performed in-depth evaluations on MuJoCo (OpenAI Gym) and Atari benchmarks, comparing ODM against state-of-the-art offline and online baselines—including Decision Mamba (DM) and ODT. Our results show that ODM achieves competitive or superior performance, with particularly robust gains when initial datasets lack expert demonstrations. In the Qbert Atari environment, ODM shows context-length sensitivity similar to offline DM; however, we …

Practicing Disciplinary Role-Play With Ai: Bioinspired Innovation Meets Business Strategy, Christine R. Rodriguez

Teaching Repository of AI-Infused Learning

Students use Blackboard’s AI Conversation tool to rehearse their team’s innovation pitch with a simulated investor. This role-play activity prepares students to confidently communicate scientific ideas in business contexts and strengthens final group presentations.