Digital Commons Network^™

Structure Regulation Engineering For Biomass-Derived Carbon Anodes Enabling High-Rate Dual-Ion Batteries, Rui Zhou, Rui Liu, Yun-Nuo Li, Si-Jie Jiang, Tian-Tian Jing, Yan-Song Xu, Fei-Fei Cao

Journal of Electrochemistry

Dual-ion batteries (DIBs) usually use carbon-based materials as electrodes, showing advantages in high operating voltage, potential low cost, and environmental friendliness. Different from conventional “rocking chair” type secondary batteries, DIBs perform a unique working mechanism, which employ both cation and anion taking part in capacity contribution at an anode and a cathode, respectively, during electrochemical reactions. Graphite has been identified as a suitable cathode material for anion intercalation at high voltages (> 4.8 V) with fast reaction kinetics. However, the development of DIBs is being hindered by dynamic mismatch between a cathode and an anode due to sluggish Li^{+ …}

Transparency And Openness In Scientific Publishing Among Malaysian Social Science Researchers, Noor Masliana Razlan

Student Works (2020-2029)

The global movement toward transparency and openness in scientific publishing (TOSP) has become integral in strengthening research integrity, accessibility, and reproducibility. While TOSP practices are increasingly embedded in science, technology, engineering, and mathematics (STEM) disciplines, their uptake remains limited and fragmented in the social sciences, especially within the Malaysian context. This study investigates how Malaysian social science researchers interpret, adopt, and implement TOSP practices, and how these are influenced by demographic variables such as age, gender, academic position, discipline, and research experience. Using a sequential mixedmethods approach, the study draws on qualitative interviews with 20 participants and survey responses from …

2025 August 28 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Feasibility Evaluation Of Secure Offline Large Language Models With Retrieval-Augmented Generation For Cpu-Only Inference, Erick Tyndall, Torrey J. Wagner, Colleen Gayheart, Alexandre Some, Brent T. Langhals

Faculty Publications

Recent advances in large language models and retrieval-augmented generation, a method that enhances language models by integrating retrieved external documents, have created opportunities to deploy AI in secure, offline environments. This study explores the feasibility of using locally hosted, open-weight large language models with integrated retrieval-augmented generation capabilities on CPU-only hardware for tasks such as question answering and summarization. The evaluation reflects typical constraints in environments like government offices, where internet access and GPU acceleration may be restricted. Four models were tested using LocalGPT, a privacy-focused retrieval-augmented generation framework, on two consumer-grade systems: a laptop and a workstation. A technical …

Mantle Flow And Fault Zone Related Seismic Anisotropy Revealed By A Dense Linear Broadband Array In Southeast Tibet, Jing Wu, Yinshuang Ai, Stephen S. Gao, Peixi Huang, Fansheng Kong, Deke Xu, Jianguo Song, Xinyu Gao, Mengyi Wei, Long Li, Jien Zhang, Yanbin Zhang, Yingying Zhang

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Southeast Tibet, a key region for the southeastward extrusion of the Tibetan Plateau, remains debated in terms of its tectonic deformation in response to the ongoing collision between the Indian and Eurasian plates. In this study, we applied shear-wave splitting analysis of core-refracted phases recorded by a newly deployed dense seismic array and six permanent stations to delineate crustal and mantle deformation processes. The observed fast polarization directions are predominantly aligned NNW–SSE, while the splitting delay times vary across four sub-blocks. The anisotropy pattern suggests a dominantly asthenospheric origin, consistent with southeastward-directed mantle flow associated with the extrusion of the …

The Core-Collapse Supernovae Particle Physics Interactions, Skylar G. Butler

Beyond: Undergraduate Research Journal

This study investigates the role of specific particle physics interactions in simulations of core collapse supernovae, with a focus on understanding how varying levels of inclusion impact the accuracy of gravitational wave predictions and results of simulations. Different research groups often approach these simulations with varying degrees of complexity, cutting corners by omitting certain reactions or simplifying others. This project systematically evaluates the implications of these choices, comparing the particle physics interactions included, the dimensionality of the simulations, and the governing equations used. Our goal is to identify how these factors influence the precision of numerical simulations. By providing a …

自然语言处理在评估数据中的应用流程：基于R的教程, Constanza Mardones-Segovia, Yaxuan Yang, Shiyu Wang, Allan S. Cohen

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

自然语言处理（Natural Language Processing, NLP）在教育测评中对文本作答的分析应用日益广泛。NLP 的关键环节之一是对被试的书面作答进行清理与结构化，以构建保留词汇语法、语义与语用特征的输入数据，从而支持相关特征的提取。本文旨在为教育测量任务中使用 NLP 技术提供基本方法指导，系统介绍文本预处理、特征提取及构建性题型文本数据分析的关键步骤。此外，文中还提供了一个基于 R 的潜在狄利克雷分配（Latent Dirichlet Allocation, LDA）分析示例，以展示该处理流程的实际操作。

The Association Between Food Benefit Online Ordering And Redemptions: Evidence From The Special Supplemental Nutrition Program For Women, Infants, And Children, Junzhou Zhang, Chuanyi Tang, Kayoung Park, Qi Zhang

Department of Marketing Faculty Scholarship and Creative Works

Objective:

To examine how the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) online food benefit ordering could influence WIC benefit redemptions.

Design:

A cross-sectional study. We compare the average redemption rates between online ordering early adopters and non-adopters among WIC customers before and after implementing WIC online ordering. A propensity score-weighted difference-in-difference model was used to estimate the coefficients.

Setting:

The Oklahoma WIC programme and a grocery store chain in Oklahoma.

Participants:

12743 Oklahoma WIC households that had redeemed their food benefits at the grocery store chain in 2020.

Results:

WIC online ordering significantly positively affected redemption …

In Memoriam: Dick Peterson, Professor Emeritus Of Mathematics, Michelle Tedford

College of Arts and Sciences Newsroom

Dick Peterson, director of the University's first Freshman Orientation Week in 1966, "lived his life and career in service to UD."

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – July 2025 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Entanglement-Assisted Metrology Under Spatiotemporally Correlated Quantum Noise, Francisco U. Riberi

Dartmouth College Ph.D Dissertations

Quantum sensors operating at the microscale are an emerging branch of quantum technologies where tangible experimental successes have already been reported. State-of-the-art atomic interferometers allow to measure and estimate a variety of physical parameters with unprecedented precision. In principle, exploiting the full power of quantum mechanics would lead to quantitatively better performance bounds over the best possible classical strategies under the same given set of resource constraints. However, the quantum systems' fragility to external disturbances has so far hindered most of these gains to be reached in practice, particularly in the limit of large probe number $N$. Parallel, {\em purely …

Trigonometry: A Brief Conversation, Carolyn D. King Phd, Evelyn Tam, Fei Ye Phd, Beata Carvajal

Open Educational Resources

These five units are specifically tailored to foster the mastery of a few selected trigonometry topics that comprise the one credit MA-121 Elementary Trigonometry course.  Each unit introduces the topic, provides space for practice, but more importantly, provides opportunities for students to reflect on the work in order to deepen their conceptual understanding.

These units have also been assigned to students of other courses such as pre-calculus and calculus as a review of trigonometric basics essential to those courses.  This is the third edition of the materials.  Based on suggestions from instructors Units 2 and 3 have been edited to …

Assessing Solar Radiation Patterns In Sarawak Using Measured Data And The Hargreaves-Samani Model For Photovoltaic Systems Application, Chun Yong Soo, Xian Hwa Chan, Wan Mohamad Husni Wan Mokhtar, Ahmad Rujhan Mohd Rais

Makara Journal of Technology

This study evaluates the Hargreaves-Samani model for estimating solar radiation in five locations in Sarawak: Bintulu, Kapit, Sri Aman, Kuching, and Miri (Subis), using minimum and maximum temperatures as key inputs. Analysis reveals stable minimum temperatures (19.7 °C to 28.8 °C), supporting consistent solar radiation patterns favorable for Photovoltaic (PV) performance. Miri (Subis) recorded the highest daily maximum temperature of 44.8 °C, while Kuching had the lowest at 24.7 °C, highlighting significant regional climatic variability. Analysis also indicates strong solar potential in Bintulu, Kapit, Sri Aman, Kuching, and Miri, with radiation peaking at 7.5 kWh/m², though seasonal variations impact PV …

Analysis Of Minimal And Maximal Closed Submsets In M-Topology, Rajish Kumar P, Sunil Jacob John, Baiju T.

Baghdad Science Journal

In the realm of mathematical analysis, the concept of a Multiset (in short mset), which allows for the inclusion of repeated elements within a collection, has garnered attention. This is particularly relevant in real-life scenarios where the presence of duplicates holds significance. The emergence of mset topology, a specialized branch of topology designed to accommodate the unique characteristics of msets, has provided a valuable framework for understanding the topological properties of these diverse collections. This paper delves into the nuanced exploration of mset topology, specifically focusing on various properties associated with minimal closed submsets and maximal closed submsets. These submsets …

Direct Control Strategy Using Polynomial Fuzzy-Based Adaptive Fractional Order Pid Controller, Ali Rospawan, Clara Lavita Angelina, Faisal Samsuri, Muhammad Yeza Baihaqi, Edmun Halawa, Muhammad Munajat, Vincent Vincent, Surawan Setiyadi, Irwan Purnama, Joni Welman Simatupang

Makara Journal of Technology

This paper presents a novel direct control strategy using a polynomial fuzzy neural network-based adaptive fractional order proportional integral derivative (PFNN-AFOPID) controller for nonlinear and time-varying systems. The proposed approach integrates the enhanced flexibility of fractional order calculus PID with the superior nonlinear approximation capabilities of polynomial fuzzy models, enabling dynamic adjustment of all control parameters without requiring precise mathematical modeling of system dynamics. By extending traditional PID control with fractional-order operations, the controller achieves improved frequency response and robustness against disturbances. Experimental validation on a DC motor position control system demonstrates significant performance improvements. Compared to traditional PID, the …

An Economic Assessment Of Precision Conservation With On-Farm Precision Experiment Data, Karina A. Schoengold, Badri Khanal, Taro Mieno, David S. Bullock

Cornhusker Economics

Using a novel dataset that includes within field variation in productivity, we find that partial field retirement for a prairie strip can not only provide conservation benefits, but can also be economically beneficial. We note that these results are for a single field with one year of data, and that additional years of production and fields are essential to determine how much these results can be generalized. We also note that precision systems can be costly, and a comparison of outcomes with and without this information is essential to determine if investing in such systems is profitable. However, variable rate …

Preparing Educators To Meet The Unique Needs Of Multilingual Learners, Anna Adamo

Masters Projects

Effectively educating multilingual learners requires knowledge of culturally and linguistically responsive teaching, as well as an understanding of translanguaging techniques. Research shows that the population of multilingual learners continues to grow in the United States, however, qualified educators with knowledge of the specific needs of this population are lacking. This project explores the need for ongoing support for secondary novice and non-ESL certified educators who teach multilingual students. Included in this project is a complete full year of professional development sessions ranging from culturally and linguistically responsive teaching practices, guidelines for accommodations and modifications, opportunities for classroom observations, and technology …

Topological Indices And Quantitative Structure-Property Analysis Of Novel Drugs For Acute Lymphoblastic Leukemia Treatment, P. Nathiya, M. Suresh, Jalal Hatem Hussein Bayati

Baghdad Science Journal

Acute lymphoblastic leukemia in children is a bone marrow and blood cancer. Healthy blood cells begin to change and grow out of control when leukemia initially occurs. Acute lymphoblastic leukemia (ALL) is an immune system-related malignancy of the lymphocytes, a subtype of white blood cells. The most common form of cancer affecting children is ALL. In this work, the topological indices are derived from the structure of a chemical graph, and predict the physical, chemical, and biological characteristics of several anticancer drugs. ALL are usually treated with drugs such as methotrexate, 6-mercaptopurine (6-MP), vincristine, L-asparaginase, and/or prednisone, etc., which are …

2025-07-29 Executive Council Minutes, Susie Salazar

Executive Council Minutes

No abstract provided.

A Clustering Technique Based On The Hard K-Means (H.Km.) Method To Determine The Governorate That Have More Influence For Spreading Covid-19 In The Kingdom Of Saudi Arabia, Rand Muhaned Fawzi, Wurood R. Abd Al-Hussein, Iden Hassan Alkanani

Baghdad Science Journal

The Kingdom of Saudi Arabia is the gathering place of most of the nationalities of the Islamic world. When a certain disease spreads, it will be important to know which governorate has the greatest influence on the spread of the disease and take the necessary precautions to limit its spread, and this is the goal of this study. COVID-19, The SRS-COV-2 coronavirus that caused the most recent pandemic is known as the Corona pandemic. To determine which Saudi governorates had the greatest influence on the epidemics spread, data was gathered for thirteen governorates over two months (July and August). The …

A New Approach For Selecting Optimal Neuron Number In Input Layer Of Generalized Regression Neural Network Model, Muhammad Muhajir, Hermansah Hermansah, Aditya Pandu Wicaksono, Lathifah Aliya Pratiwi

Baghdad Science Journal

This study aimed to determine the input layer neurons for the Generalized Regression Neural Network (GRNN) model by using various classical methods, namely 1) Partial Autocorrelation Function (PACF), 2) frequency-based method, 3) frequency and Forward Selection (FS), 4) frequency and Backward Elimination (BE), 5) frequency and step-based methods, and 6) frequency method combined with the Least Absolute Shrinkage and Selection Operator (LASSO). These classical methods were combined with various parameters within GRNN, including smoothing parameters, forecasting strategies, and transformations. The most accurate model, with the lowest RMSE, MAE, MAPE, and SMAPE values, resulted from the combination of frequency and BE, …

A New Efficient Method To Solve Bi-Objective Transportation Problems Under Fuzzy Parameters, Ramakant Sharma, Sohan Lal Tyagi

Baghdad Science Journal

The transportation problem (TP) is a classical optimization problem in operations research and logistics. Due to several factors, real-life situations may have inconsistent supply, demand, and unit transportation costs. The fuzzy numbers represent these inaccurate data. In the present scenario, the decision-maker handles several objectives simultaneously. This paper presents a simple method to solve linear Bi-Objective Transportation Problems (BOTP) using (η, ξ) interval-valued fuzzy numbers (IVFN), offering a more realistic way to model uncertainty than normal fuzzy numbers. Using the signed distance ranking, the Fuzzy BOTP was transformed into the equivalent crisp BOTP. In this paper, A method is developed …

A Comparative Of Detecting Physical And Cyber Attacks On Drones Using Machine Learning And Deep Learning Techniques, Khattab M Ali Alheeti, Sara Abbas Rafa, Maha Mahmood, Aythem Khairi Kareem, Mohammad Aljanabi, Ahmed Adil Nafea

Baghdad Science Journal

Multitudes of Unmanned Aerial Vehicles (UAVs) are generally embraced in military and civilian applications. Yet, this physical-cyber method is intimidated by cyber-attacks. Recently, Machine Learning (ML) based attacks detection approaches have been effectively embraced to detect cyber-attacks. This paper presented the Intrusion Detection Security (IDS) approach. The proposed approach investigates UAVs' cyber and physical attributes under normal process and attack circumstances. Two types of cyber-attacks have been classified: Denial-of-service (DoS) and replay. This study developed IDS approaches established on ML and Deep Learning (DL) prototypes, including Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Naive Bayes (NB), and One Dimensional Convolutional …

Accurate Skin Lesion Segmentation Through Feature Fusion In Dermoscopy Images, Fallah H. Najjar, Farhan Mohamed, Asniyani Nur Haidar Abdullah, Mohd Shafry Mohd Rahim, Karrar A. Kadhim

Baghdad Science Journal

In the diagnosis of skin cancer, dermoscopy images have to be evaluated for feature extraction. In this paper, the authors design a new method to enhance the skin dermoscopy image segmentation accuracy by eliminating artifacts and hair using photometric quasi-invariants, followed by a unique approach for skin lesion segmentation using histogram-based feature fusion. Histogram features are used to extract data range and mean images from the histogram, and these are fused with the free artifacts and hair image to generate the final image. the authors used the PH2 dataset for the proposed segmentation method because it contains the ground truth …

Educator, Community And Student Reflections On Community-Engaged Research And Learning For Mathematics, Gareth A. Tribello, Jason Donaghy, Jyoutir Raj, Joshua Cunningham, Daniel Pyper, David Heaney, Kai Q. Lian, Sarah Conway, Judy Williams, Emma Mckenna

Irish Journal of Academic Practice

Community-engaged research and learning (CERL) is a constructivist pedagogy that involves students working on projects in collaboration with community partners. This approach was introduced to universities in the late 1960s, and although some disciplines have wholeheartedly embraced it, it is still rarely used in mathematics. This paper consists of a series of reflections written by educators, students, community partners and university leaders about a module in a mathematics degree that includes an element of CERL. These reflections demonstrate that community partners find value in the work done by mathematics students and that university leaders are broadly supportive of efforts to …

Enhance Telecom-Related International Indicators Using Machine Learning, Omar Alnemer

Theses

This thesis investigates the enhancement of the Network Readiness Index (NRI) through the application of machine learning methodologies to refine indicator weighting, clustering, and dimensionality. The study builds on research promoting data-driven methods to address the limitations of equal-weighted indices in capturing indicator importance and interdependence. The research aims to evaluate how unsupervised and supervised learning methods can optimize the interpretation of NRI data. The study focuses on three primary research questions: (1) How can PCA be used to reduce the dimensionality of the NRI without significant loss of information? (2) Can k-means clustering reveal meaningful groups of countries with …

Free-Running Ring Oscillators For Crystal-Free Communication Systems: Design, Simulation Challenges, And Frequency Stability Improvements, Haziq Rohail

Dissertations and Theses

This thesis presents techniques for enhancing the frequency stability of ring oscillators (ROs) for crystal-free wireless communication systems. The first major contribution is a tutorial-style study of frequency stability metrics, providing clear definitions, conversions methods, and comparative analysis of commonly used figures of merit such as phase noise, Allan deviation, and jitter. The second contribution addresses the challenges of simulating phase noise in free-running ROs. Key techniques including Periodic Steady-State Noise (PNoise), Harmonic Balance Noise (HBNoise), and transient noise analysis are evaluated in terms of accuracy, convergence behavior, and simulation runtime. Based on these results, practical guidelines are offered for …

Assessment Of The Thermal Performance Of Cables At Zummar Station, Considering The Impact Of Harmonics, Riyad Zaki Sabri Younis, Khaled Mohammed Othman

AUIQ Technical Engineering Science

This study evaluates the thermal impact of harmonic distortion on underground power cables through a real-life case study conducted at the Zummar 33/11 kV substation. Field measurements indicated that the cable most exposed to thermal stress was the one supplying an industrial area, where a Total Harmonic Distortion (THD) level of 23.8% was recorded due to nonlinear loads. Numerical simulations were carried out using the Finite Element Method (FEM) to analyze the thermal performance of the cable system under different seasonal loading conditions. The results showed that harmonics not only increased the temperature of the affected cable but also indirectly …

Morphology And Distribution Of Lakes Under The Laurentide Ice Sheet: Implications For Ice Flow Dynamics, Sarah M. Principato, Carissa Mobley

Environmental Studies Faculty Publications

This study examines the distribution and morphology of lakes under the Laurentide Ice Sheet (LIS) to investigate relationships with ice flow velocity, bedrock and basal thermal regime. Palaeo-ice streams and lobes were important components of the LIS, and properties of lakes in those regions are quantified at high resolution. Lake polygon shapefiles obtained from the HydroLAKES database contain data including water depth, volume and elevation. ArcGIS Pro is used to measure lake area, length, width, elongation, orientation, parallel conformity, density and packing. Approximately 982 282 natural lakes were identified in the region of North America covered by the maximum extent …

Quantum Error Correction: Studying Correlated Errors On Surface Codes, Reu/Fri Program Physics And Astronomy, Pritesh Thakur

Student Works

No abstract provided.