Digital Commons Network^™

Characterization Of Aromatic Stationary Phases For Uses In High Performance Liquid Chromatography, Anastasia Davis

Honors Theses

High Performance Liquid Chromatography (HPLC) is an analytical chemist technique used to separate a sample into its components to characterize and study a specific molecule or compound. Traditionally, High-Performance Liquid Chromatography in different industries, such as the environmental and pharmaceutical fields, uses stationary phases that are already well characterized, such as the C18 stationary phase for separation. However, aromatic stationary phases have recently been produced, which have phenyl groups bonded to the interior surface of the column. Still, they have not been well characterized because of how modern they are. This project characterized several aromatic stationary phases (Biphenyl, pentafluorophenyl, and …

Cran V. Mtc Ltd And Others (Sa 822022) 2024 Nasc 6 (13 March 2024), Dunia P. Zongwe

SAIPAR Case Review

This piece focuses on the Namibian Supreme Court's decision concerning the Communications Regulatory Authority of Namibia's (CRAN) discretionary powers to levy regulatory fees. The judgment upholds the constitutionality of the amended Section 23 of the Communications Act of Namibia, which provides guidelines for setting these fees. The commentary commends the Court's sophisticated understanding of regulatory governance, balancing legislative oversight with administrative expertise. However, it also points out inefficiencies in the current fee-setting mechanism, particularly the lack of collaborative input from stakeholders and the risk for potential regulatory costs being pased on to consumers in an already oligopolistic market. Legislative reforms …

Dementia Risk Reduction In The African Context: Multi-National Implementation Of Multimodal Strategies To Promote Healthy Brain Aging In Africa (The Africa-Fingers Project), Chinedu Momoh, Rachel Maina, Lukoye Atwoli, Karen Blackmon, Edna Bosire, Gloria Chemutai, Linda Khakali, Sylvia Mbugua, Zul Merali, Olivera Nesic Taylor,, Anthony Ngugi, Cyprian Mostert, Eunice Muthoni, Roselyter Riang’A, Mansoor Saleh, Shahin Sayed, Jasmit Shah

Brain and Mind Institute

Dementia prevention in Africa is critically underexplored, despite the continent's high prevalence of modifiable risk factors. With a predominantly young and middle-aged population, Africa presents a prime opportunity to implement evidence-based strategies that could significantly reduce future dementia cases and mitigate its economic impact. The multinational Africa-FINGERS program offers an innovative solution, pioneering culturally sensitive, multidomain interventions tailored to the unique challenges of the region. Leveraging insights from landmark global studies such as Worldwide-FINGERS and Alzheimer's Disease Neuroimaging Initiative, the program employs a multideterminant precision prevention framework, grounded in community based systems dynamics. Africa-FINGERS further integrates cutting-edge state-of-the-art multimodal biomarker …

Insulator-To-Metal Transition And Isotropic Gigantic Magnetoresistance In Layered Magnetic Semiconductors, Gokul Acharya, Bimal Neupane, Chia-Hsiu Hsu, Xian P. Yang, David Graf, Eun Sang Choi, Krishna Pandey, Md Rafique Un Nabi, Santosh Karki Chhetri, Rabindra Basnet, Sumaya Rahman, Jian Wang, Zhengxin Hu, Bo Da, Hugh O.H. Churchill, Guoqing Chang, M. Zahid Hasan, Yuanxi Wang, Jin Hu

Physics Faculty Publications and Presentations

Magnetotransport, the response of electrical conduction to external magnetic field, acts as an important tool to reveal fundamental concepts behind exotic phenomena and plays a key role in enabling spintronic applications. Magnetotransport is generally sensitive to magnetic field orientations. In contrast, efficient and isotropic modulation of electronic transport, which is useful in technology applications such as omnidirectional sensing, is rarely seen, especially for pristine crystals. Here a strategy is proposed to realize extremely strong modulation of electron conduction by magnetic field which is independent of field direction. GdPS, a layered antiferromagnetic semiconductor with resistivity anisotropies, supports a field-driven insulator-to-metal transition …

Multi-Step Ahead Water Level Forecasting Using Deep Neural Networks, Fahimeh Sharafkhani, Steven Corns, Robert Holmes

Engineering Management and Systems Engineering Faculty Research & Creative Works

Stream gauge height (water level) is a significant indicator for forecasting future floods. Flooding occurs when the water level exceeds the flood stage. Predicting imminent floods can save lives, protect infrastructure, and improve road traffic management and transportation. Deep neural networks have been increasingly used in this domain due to their predictive capabilities in capturing complex features and interdependencies. This study employs four distinct models—Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), transformer, and LSTNet—with MLP serving as the baseline model to forecast water levels. The models are trained using data from 20 distinct river gages across the state of Missouri …

Women In Stem, Anahi Garcia Valdez

First Year Composition Colloquium

STEM is an acronym that stands for science,technology, engineering, and mathematics.STEM is one of the most important careers in theworld today, but one of the main problems inSTEM is the treatment that women get in STEM;in my project we cover some of those problemsand we will find effective solutions to be able tomake a change in this problem and why genderdiversity is important in STEM.

Andrews University Hosts Stem Day For Lake Union Educators, Nicholas Gunn

Lake Union Herald

No abstract provided.

2024 Library Annual Report, James White Library

Library Administration and Marketing

No abstract provided.

Teaching Statistics For The Social Sciences Using Active Learning: A Case Study, Daniel Douglas

Department of Sociology Faculty Scholarship and Creative Works

US college students are typically required to take at least one mathematics or statistics course, either as part their major area of study, or as a general education requirement. College mathematics requirements are an obstacle for many college students. Active learning, a pedagogical approach that places emphasis on students’ collaborative work, has been shown to increase student learning and course success in STEM fields of study and in mathematics courses. Active learning has also been shown to be adaptable to courses involving computer software and programming, such as introductory statistics. This case study is based on the author’s experience implementing …

Balanced Index Sets Of Graphs And Semigraphs, Nagarjun Prabhu, Devadas Nayak

Open Access archive

Let G be a simple graph with vertex set V (G) and edge set E(G). Graph labeling is an assignment of integers to the vertices or the edges, or both, subject to certain conditions. For a graph G(V, E), a friendly labeling f : V (G) → {0, 1} is a binary mapping such that |vf(1) − vf(0)| ≤ 1, where vf(1) and vf(0) represents number of vertices labeled by 1 and 0 respectively. A partial edge labeling f^∗ of G is a labeling of edges such that, an edge uv ∈ E(G) is, f^∗(uv) = 0 …

Is The Population Of The Critically Endangered White-Bellied Heron Declining In Namdapha Tiger Reserve, India?, Rohan K. Menzies, Kulbhushansingh R. Surya Wanshi, Rohit Naniwadekar

Open Access archive

The Critically Endangered white-bellied heron Ardea insignis is a large-bodied, range-restricted, piscivorous bird of the Himalayan mountains. With fewer than 60 individuals remaining globally, regular monitoring is required for this rare species. We present the results of surveys during 2017 and 2023-2024 in Namdapha Tiger Reserve, Arunachal Pradesh, India. The encounter rate of white-bellied herons in 2017 was 0.55 individuals per km of river, but we did not detect the bird during intensive surveys in the same location during 2023-2024. The surveyed area within the Reserve was once a stronghold for the species, but its population appears to be declining. …

Building Stronger Maritime Governance In Belize : A Collaborative And Organizational Approach, Jasmine Deneen Bellini

World Maritime University Dissertations

No abstract provided.

Critical Valuation Of The Implementation Of Imo’S Guidelines For The Reduction Of Underwater Radiated Noise : A Kenyan Perspective, Swabra Mohamed Abdulrahman

World Maritime University Dissertations

No abstract provided.

Analysis Of The Impact Of Mass On The International Regulatory Framework In The Example Of Unclos Terminology : Issues, Legal Challenges, Possible Solutions, Akbar Akbarov

World Maritime University Dissertations

No abstract provided.

Comparative Analysis And Plan To Align Panamanian Safety Regulations For Cargo Ships Under 500 Gt With International Standards, Carlos Manuel Mosquera Athanasiadis

World Maritime University Dissertations

No abstract provided.

A Study On The Risk Assessment Of Japanese Domestic Passenger Vessel Accident, Miki Yanagisawa

World Maritime University Dissertations

No abstract provided.

Evaluation Of Port Reception Facilities And Ship-Generated Solid Waste Management : A Case Study Of Apapa Port, Nigeria., Abdullahi Gambasha Barau

World Maritime University Dissertations

No abstract provided.

Use Of Environmental Dna To Examine Seagrass Ecosystem Functionality, Kathy Ann Young

World Maritime University Dissertations

No abstract provided.

Estimating The Social Costs Of Emissions And Pollution From Malawi’S Inland Shipping And Dry Port, Joel Herald Kossam

World Maritime University Dissertations

No abstract provided.

Optimizing Hidden Neurons In Multilayer Perceptrons With A Hybrid Feature Selection Approach For Classification Tasks, Susmitha Boyidapu

USF Tampa Graduate Theses and Dissertations

Identifying the ideal number of hidden neurons in multilayer perceptron (MLP) networks remains an ongoing challenge in the field of machine learning. Our research presents an innovative strategy to address this issue by combining data preprocessing, feature selection by a hybrid method, and a methodical approach to MLP architecture design. The extracted features through feature selection help to construct MLP architecture and implement k-fold cross-validation along with early stopping mechanism for finding optimal number of hidden neurons. Our method's key innovation is its capacity to dynamically adjust the hidden neuron count while optimizing model performance. Through iterative refinement of the …

Bibliography For "3-D Printing Display", Isabella Piechota, Arianna Tillman, Annikah Carpio

Library Displays and Bibliographies

A bibliography created to support a display about 3D printing at the Leatherby Libraries during November 2024-February 2025 at the Leatherby Libraries at Chapman University.

Comparison Of Soil Organic Matter Fractions In Non-Grazed And Prescribed Sheep-Grazed Managed Land In Southwest Michigan, Julia M. Shreve, Katelyn Smith, Lauren Burns

Student Summer Scholars Manuscripts

The impact of prescribed sheep grazing on soil organic carbon (SOC) was investigated by comparing a 2-acre grazed and a 2-acre non-grazed (control) portion of redeveloped land previously seeded with pasture mix in Southwest Michigan. This study aimed to measure changes in SOC resulting from prescribed sheep grazing by examining two key soil organic matter (SOM) fractions: particulate organic matter (POM) and mineral-associated organic matter (MAOM) along with soil physical and chemical properties (e.g., bulk density, infiltration rate, moisture content, pH, conductivity). Soil cores were collected from 5 locations within each of the 2-acre plots using a diagonal random sampling …

Engineering Technology Capstone: Exploring The Current State, Rustin Webster, Matthew Turner

School of Engineering Technology Faculty Publications

The characteristics that make up the general identity of engineering technology (ET) degree programs and their graduates are well known; however, the explicit characteristics of ET capstone nationally is unknown. In other words, there are multiple gaps in the general ET capstone body of knowledge that need to be filled in order to fully understand and describe the current state. The purpose of this short paper is to provide a synopsis of 1) the current known identity of ET education, 2) existing ET capstone research, and 3) ET capstone knowledge gaps (i.e., future research areas). Internal preliminary findings comparing traditional …

The Near Normality Of The Commutant Of A Moufang Loop, Evan Phillips

All NMU Master's Theses

We investigate conditions under which the commutant of a Moufang loop is normal and related topics. We begin by giving relevant background on Moufang loops and normality. We then prove a theorem showing how close the commutant is to being normal: cR(x, y)R(x, y)R(x, y) = c. We then prove a couple of theorems emphasizing the importance of cubes in Moufang loops. Finally we prove a decomposition theorem for the multiplication group of a finite commutative Moufang loop.

Unlocking Potential: Analyzing The Content, Style, Structure, And Interactivity Of Mesonets As Operational Dashboards, Savannah Olivas, Jeannette Sutton, Michele K. Olson

Emergency Preparedness, Homeland Security, and Cybersecurity Faculty Scholarship

Emergency managers need data and information to make life-saving decisions on behalf of the public. Operational dashboards, if designed appropriately, can provide this information in a central location and reduce cognitive demands during decision-making. Mesonet websites can serve as a type of operational dashboard that has the potential to provide the meteorological data necessary for emergency managers to make decisions. In this study, we use quantitative content analysis to examine the content, style, structure, and interactivity of 18 Mesonet websites from across the contiguous United States. We find that Mesonet websites vary in the type and amount of content they …

Urban H: Housing, Heat, And Health, Loretta Lees

Asian Management Insights

Future policy needs to triangulate the ‘triple-H’ to help marginalised urban populations.

1. The urban heat island effect generates disproportionately high temperatures in urban settlements compared to non-urban ones, leading to increased heat-related illnesses and mental health issues, especially among vulnerable and marginalised populations living in poorly-planned or -resourced areas.

The Urban-H research agenda by Boston University’s Initiative on Cities focuses on the interconnected effects of housing, heat, and health (triple-H) to develop a resilience index for cities.

3. The proposed global Urban-H Index could help cities worldwide address the triple-H crisis by guiding policymakers to craft equitable, as well …

Our Roads Are Choking Us, Mark Stevenson, Ferdinand Balfoort, Darius Balfoort

Asian Management Insights

Re-imagining transport systems to cut carbon emissions and drive climate change.

1. The global transport sector, particularly road transport, contributes significantly to global greenhouse gas (GHG) emissions and air pollution, causing serious health issues like respiratory and cardiovascular diseases, especially in highly urbanised areas.

2. In-vehicle telematics and smartphone apps that provide emission feedback can help incentivise drivers to adopt sustainable driving habits. A global carbon credit market can help achieve the same goal by letting individuals and companies monetise their emission reduction.

3. Transitioning to electric vehicles and micro- mobility solutions, with the support of proper infrastructure and regulations, …

Urban Sustainability: The Singapore Experience, Chuan Seng Lee

Asian Management Insights

The importance of green buildings, the circular economy, and zero waste.
Lee Chuan Seng, Chairman of the National Environment Agency (NEA) and founding President of the Singapore Green Building Council (SGBC), shares insights on urban sustainability. He emphasizes the significance of green buildings, the circular economy, and achieving zero waste. Lee also discusses strategies to promote the reduction and reuse of materials in the built environment, contributing to Singapore's leadership in sustainable urban development.

Power Shift: Steering The Energy Sector Towards A Net Zero Future, Tengku Muhammad Taufik

Asian Management Insights

Tengku Muhammad Taufik, President and Group CEO of PETRONAS, discusses how the global energy company navigates an increasingly volatile energy market while advancing its commitment to a Net Zero future. Balancing traditional operations with the demands of an accelerated energy transition, PETRONAS focuses on delivering energy to its stakeholders while meeting sustainability expectations. The company adopts frontier technologies and artificial intelligence (AI) as key enablers in its strategy to achieve a sustainable and resilient energy future.

Angels Or Demons: Investigating And Detecting Decentralized Financial Traps On Ethereum Smart Contracts, Jiachi Chen, Jiang Hu, Xin Xia, David Lo, John Grundy, Zhipeng Gao, Ting Chen

Research Collection School Of Computing and Information Systems

Decentralized Finance (DeFi) uses blockchain technologies to transform traditional financial activities into decentralized platforms that run without intermediaries and centralized institutions. Smart contracts are programs that run on the blockchain, and by utilizing smart contracts, developers can more easily develop DeFi applications. Some key features of smart contracts—self-executed and immutability—ensure the trustworthiness, transparency and efficiency of DeFi applications and have led to a fast-growing DeFi market. However, misbehaving developers can add traps or backdoor code snippets to a smart contract, which are hard for contract users to discover. We call these code snippets in a DeFi smart contract as “DeFi …