Digital Commons Network^™

Noaa Or&R Remote Sensing /Uas Workshop Report, Coastal Response Research Center

Coastal Response Research Center

NOAA’s DPP partnered with CRRC to plan and facilitate a hybrid workshop over two days at UNH’s Memorial Union Building (MUB) in Durham, NH. This workshop titled “NOAA OR&R Remote Sensing/UAS Workshop” identified overarching concepts, knowledge gaps, challenges, and research regarding the current capabilities of oil spill remote sensing of NOAA and its partners, including government and state agencies, and the private sector (e.g., OSROs, contractors). The resulting conversations explored state of the art technologies that could be deployed during a spill event and complications introduced to response and recovery efforts by data delivery timelines, data products, and remote sensing …

2024 U.S. Globe Partner Yearbook, Globe U.S. Coordination Office

Partner Yearbooks

No abstract provided.

Front Matter

SMU Science and Technology Law Review

No abstract provided.

A Theory Of Economic Justice, Marshall Paul Forrester

Yale Graduate School of Arts and Sciences Dissertations

This dissertation develops a theory of economic justice. It begins with an economic state of nature, much like Hobbes's political state of nature. In the economic state of nature, there is no economic cooperation through the division of labor and specialization, and everyone is very poor. The purpose of the dissertation is to identify the conditions for just economic cooperation. I argue that each participant in economic cooperation should be rewarded according to their contributions. The first chapter draws on Henry George to argue that there is a fundamental difference between land and the other two factors of production, labor …

Disruption Of Functional Network Development In Children With Prenatal Zika Virus Exposure Revealed By Resting-State Eeg, Ahmet Omurtag, Samah Abdulbaki, Thomas Thesen, Randall Waechter, Barbara Landon, Roberta Evans, Dennis Dlugos, Geetha Chari, A. Desiree Labeaud, Karen Blackmon

Brain and Mind Institute

Children born to mothers infected by Zika virus (ZIKV) during pregnancy are at increased risk of adverse neurodevelopmental outcomes including microcephaly, epilepsy, and neurocognitive deficits, collectively known as Congenital Zika Virus Syndrome. To study the impact of ZIKV on infant brain development, we collected resting-state electroencephalography (EEG) recordings from 28 normocephalic ZIKV-exposed children and 16 socio-demographically similar but unexposed children at 23–27 months of age. We assessed group differences in frequency band power and brain synchrony, as well as the relationship between these metrics and age. A significant difference (p < 0.05, Bonferroni corrected) in Inter-Site Phase Coherence was observed: median Pearson correlation coefficients were 0.15 in unexposed children and 0.07 in ZIKV-exposed children. Results showed that functional brain networks in the unexposed group were developing rapidly, in part by strengthening distal high-frequency and weakening proximal lower frequency connectivity, presumably reflecting normal synaptic growth, myelination and pruning. These maturation patterns were attenuated in the ZIKV-exposed group, suggesting that ZIKV exposure may contribute to neurodevelopmental vulnerabilities that can be detected and quantified by resting-state EEG.

Language, Categorization, And Control: Examining Exclusion In Refugee Regimes Through The Shift From Muhājir To Lājiʾ, Cormac M. Thorpe

Harvey M. Applebaum ’59 Award

No abstract provided.

News From Uab Libraries, 01 2025, Uab Libraries

UAB Libraries News

No abstract provided.

Recombinant Factor Viia: New Insights Into The Mechanism Of Action Through Product Innovation, Miguel A Escobar, Maureane Hoffman, Giancarlo Castaman, Cedric Hermans, Johnny Mahlangu, Johannes Oldenburg, Charles L Percy, Mark T Reding, Amy D Shapiro, Steven W Pipe

Faculty, Staff and Student Publications

Management of bleeding in persons with hemophilia and inhibitors involves treatment with bypassing agents, including recombinant activated factor VII (rFVIIa). Two rFVIIa products are commercially approved for use in the United States and the European Union. Eptacog alfa and eptacog beta share the same amino acid sequence but differ in posttranslational modifications. Although rFVIIa has been used to manage bleeding in persons with hemophilia and inhibitors for over 30 years, its mechanisms of action is still being studied. In vitro and in vivo studies have suggested that rFVIIa could promote hemostasis by (1) increasing tissue factor-dependent activation of factor (F)X …

Wmu Board Of Trustees Formal Session February 5, 2025, Wmu Board Of Trustees

WMU Board of Trustees Meetings

Acceptance of the Agenda

Approval of the Minutes (December 12, 2024 Meeting)

Remarks by the Vice Chair of the Board

Remarks by the President

Updates by the Faculty Senate President

Updates by the Western Student Association President

Updates by the Graduate Student Association President

Employee Graduates

Climb Onward – A Look-in on WMU Athletics’ Strategic Plan

Public Comments Regarding Action Items

Action Items

Western Michigan University Board of Trustees Annual Officer Election

Delegated Board of Trustees Authority to Confer Degrees

Faculty Senate Constitution Amendments

Campus Master Plan 2025 and Beyond

2025 General Revenue Bonds

Consent Item

• Personnel Report
• Curriculum Proposals …

Book Reviews

The Asbury Journal

No abstract provided.

From The Editor, Robert A. Danielson

The Asbury Journal

No abstract provided.

Theory And Practice In John Wesley’S Critique Of Calvinism: A Philosophical Examination, Walter Stepanenko

The Asbury Journal

On more than one occasion, John Wesley found himself engaged in debate with Calvinists in the Methodist revival. This paper philosophically re-examines John Wesley’s concerns with the Calvinism of some members of his evangelical cohort. It is argued that Wesley’s concerns fall into two types: theoretical concerns about the conceptual coherency of a view that makes God the author of sin, and practical concerns about the moral implications of a view that suggests some individuals are elect and others are reprobate. This article then attempts a principled reconstruction of these objections. It is argued that while there is a rational …

Irene Blyden Taylor: God’S Apostle To Nevis, Robert A. Danielson

The Asbury Journal

Irene Blyden Taylor was an early Holiness convert from the Island of Saba in the West Indies. Her life intersects a number of key people and places in the history of the Holiness Movement, as she worked with C.O. Moulton, one of the founding Holiness missionaries in the Caribbean, attended school at God’s Bible School and College, and as she worked as an evangelist and church planter on the Islands of St. Kitts, Nevis, and Saba. Through her story, the origins of Holiness mission work in the English speaking Caribbean can be explored as well as key missiological insights. Blyden …

Ai And Higher Education, Chris A. Kiesling

The Asbury Journal

No abstract provided.

The Giants Cry “Halt”: Incongruencies Between Classical Virtue Ethics And Generative Artificial Intelligence, Aaron J. Lewis

The Asbury Journal

No abstract provided.

Knowing What To Eat And When To Eat: Reading The Food Offering Text (1 Corinthians 8:1–11:1) From A Myanmar Christian Perspective (Burmese Version), Hram Hu Lian

The Asbury Journal

Food offerings play a vital role in the socio-religious life of the people of Myanmar. This is mainly because food is served as a part of worship in religious settings (Nat worship, Ahlu pwe, and religious festivals), as well as a part of regular interactions in a social setting (workrelated dinner parties, dinner parties at a Buddhist neighbor’s house, and non-religious social gatherings). In this context, knowing what to eat, and when to eat, becomes crucially important for Myanmar Christians as often times a person encounters various questions in regard to food offerings such as; Should a Christian participate in …

Freemasonry And The Methodist Episcopal Church In The Nineteenth Century, Nicholas M. Railton

The Asbury Journal

Virtually nothing has been written on the presence and impact of Freemasonry within the Methodist Episcopal Church. This article begins to fill this lacuna by shedding some light on the topic. It has been claimed that John Wesley was himself a Freemason. In his journal he briefly discusses a book by an ex-Mason.

In this article some of the similarities and differences between the two systems are highlighted. The Morgan Affair temporarily weakened the position of Freemasonry in the Methodist Episcopal Church and in broader American society. Twelve short biographies of Methodists who joined the lodge show that the influence …

Horizontal Infiltration Of Water Through Porous Snow As A Gravity Current, Anthony Cheng

Dartmouth College Master’s Theses

On the surface of the Greenland ice sheet or around the margins of the Antarctic ice shelf, water infiltrates porous ice. It is important to understand this infiltration process since water populating the pore space of ice directly impacts the density, porosity, and wetness of ice. These properties influence the mechanics and tensile strength of ice, as greater amounts of infiltration result in faster or more widespread deformation events, which may lead to adverse climatic effects such as sea level rise and ocean current disruption. While studies have considered the thermodynamics and fluid mechanics of water vertically percolating through snow …

The Implementation And Miniaturization Of A New Current Source Into The Consolidated Layout Of An Electrical Impedance Tomography Probe With A Novel Approach To Electrode Layout, Katherine M. Bullion

Dartmouth College Master’s Theses

Prostate cancer is the most highly diagnosed form of cancer in male subjects in the United States. As a result, over 100,000 radical prostatectomies are performed annually in the US [1]. However, it is currently very difficult for surgeons to confirm that all impacted tissues have been effectively removed from the patient. Positive surgical margins are an independent risk factor for the recurrence of cancer, yet currently there is no method to efficiently, intraoperatively assess the status of surgical margins during a radical prostatectomy. There is a need for a new tool that is small enough to fit into a …

Analyzing Real-Time Behavioral Shifts In Response To Tourism Policy Using Google Trends Data And Advanced Difference-In-Differences (Did) Methods, Aaron Bradley Scott

Doctor of Business Administration Dissertations

Google Trends is a publicly available aggregate search data portal that allows researchers to capture and review search interests. This dissertation analyzes real-time behavioral shifts resulting from tourism policy changes in Venice, Italy using Google Trends data. This work contributes to the current literature in DiD modeling, by using information-seeking behavior that is ahead of observable, lagged, outcomes. Through the integration of recent DiD advancements, this work further extends DiD applications in tourism econometrics, and a case-example of real-world tourism policy assessment. This dissertation highlights changes in search behavior immediately following policy implementation. Additionally, this work highlights Google Trends as …

Spatial Analysis And Machine Learning Integration For Nutritional Status Mapping Using Ann And Random Forest Models, Desi Anis Anggraini, Fachrul Kurniawan, Fresy Nugroho, Meidya Koeshardianto, Mohammad Iqbal Bachtiar

Knowledge Engineering and Data Science

Nutritional problems among children under five remain a major public health challenge. This research seeks to create a spatially oriented system for evaluating and mapping nutritional status utilizing Artificial Neural Network (ANN) and Random Forest (RF) algorithms. Data obtained from the Sumenep District Health Office included age, weight, height, and gender variables. Both models were trained using a 70:30 data ratio and evaluated with accuracy, precision, recall, and F1-score metrics. The ANN model achieved an accuracy of 95.8%, while the RF model reached 97.7%. Classification results were visualized through a Geographic Information System (GIS) to illustrate spatial distribution and identify …

Time Series Forecasting With Lstm: An Extensive Content Analysis, Andri Pranolo, Xiaofeng Zhou, Yingchi Mao

Knowledge Engineering and Data Science

This paper presents a comprehensive bibliometric and content review of the trend, architecture, and application of long short-term memory (LSTM) models for time series forecasting. The study aims to provide insights into the overall statistics and distribution of papers focused on LSTM for forecasting. Additionally, the research questions address the most highly cited papers based on LSTM approaches in forecasting, the most productive journals in this field, and identifying trends, gaps, summary tasks and their performance, datasets availability, and future research directions for LSTM in forecasting. This paper is a comprehensive review of LSTM for forecasting from 2017 to 2023 …

Prediction Of Audit Findings Using Deep Learning With Financial And Non-Financial Data: A Case Study In Province X, Fery Yohan Setiawan, Eko Mulyanto Yuniarno, Reza Fuad Rachmadi

Knowledge Engineering and Data Science

The implementation of the audit from the local government financial statements by The Audit Board of The Republic of Indonesia (BPK RI), especially for the Province X representative, are frequently faced by the various limitations, one of them being the required audit time. At this moment, the BPK RI representative of Province X doesn’t have the tools that are able to help the accurate of sample determination for the pick test, which resulted in this study proposing the application of multi-label classification to predict the findings of financial statement (Laporan Keuangan, LK) audits based on financial and non …

A Hybrid Soft Voting And Stacking-Based Meta-Learning Approach For Sentiment Analysis Of Bangkalan Batik, Moh. Imron Wahyudi, Lailil Muflikhah, Rizal Setya Perdana

Knowledge Engineering and Data Science

Sentiment analysis is an important field in Natural Language Processing (NLP) that focuses on processing consumer opinions to gain useful insights. The information generated from sentiment analysis can be used as a basis for business decision-making, service quality evaluation, and the formulation of more effective marketing strategies. In the local context, Bangkalan Batik, as one of Madura's distinctive cultural products, has high economic value and cultural identity. However, consumer reviews available online, for example through Google Maps, are still rarely utilized optimally by MSMEs as a source of strategic information. Therefore, this study was conducted to develop a sentiment classification …

A Comparative Study Of Machine Learning Models For Javanese Wuku Classification: Exploring Svm, Naïve Bayes, And Cnn For Cultural Texts, Danang Arbian Sulistyo, Aji Prasetya Wibawa, Didik Dwi Prasetya, Fadhli Almu'iini Ahda, Agung Bella Putra Utama

Knowledge Engineering and Data Science

This study rigorously evaluates machine learning models for classifying culturally significant Javanese Wuku texts from the “Keagamaan atau Spiritual” category, a domain challenged by unique linguistic nuances and limited digitized resources. We compared Support Vector Machine (SVM), Naïve Bayes, and Convolutional Neural Network (CNN) on texts from five pivotal Wuku types (Sinta, Galungan, Kuningan, Sungsang, Warigalit) sourced from sastra.org, aiming to identify the most effective computational approach. The dataset comprises N = 1419 documents (T = 751.290 tokens), with per-class document counts reported for all five Wuku types. Our evaluation uses accuracy, precision, recall, F1-score, and …

Mapping Of Product Sales Potential Based On Brands In The East Kalimantan Region Using Hybrid Analytical Framework, Achmad F O Gaffar Mr, Mulyanto Mulyanto Mr, Arief Bw Putra Mr, Muhammad Taufiq Sumadi Mr, Emmilya Umma Aziza Gaffar

Knowledge Engineering and Data Science

In geographically dispersed markets, operational costs should be reflected in sales planning to support accurate performance evaluation. However, such considerations are often neglected in practice. This study proposes a hybrid analytical framework to map brand-based product sales potential, with and without operational cost consideration, using historical sales data from PT Karya Inti Total Anugerah (PT KITA) in East Kalimantan. The framework integrates spatial, statistical, and machine learning techniques. Principal Component Analysis (PCA) is used to reduce the dimensionality of variables related to travel distance, total sales, and units sold, where travel distance represents the primary contributor to operational costs. K-Means …

Cognitive Eeg Differentiation With Hypnosis-Based Noise Reduction And K-Harmonic Means For Personalized Brainwave Modeling, Ahmad Azhari, Dimas Chaerul Ekty Saputra

Knowledge Engineering and Data Science

This study investigates the integration of hypnosis-based noise reduction and K-Harmonic Means (KHM) clustering for personalized brainwave modeling using Electroencephalography (EEG) data. EEG signals were collected from 100 participants using a Neurosky Mindset sensor at the FP1 (prefrontal) location, with each subject performing nine standardized cognitive tasks such as breathing, memory recall, and mathematical problem-solving. Hypnosis was applied not as a filtering method but as a behavioral protocol to standardize subject conditions and minimize physiological and environmental noise. The EEG signals were sampled at 128 Hz and analyzed using KHM clustering with K=4K = 4K=4, resulting in a Silhouette Score …

Comparative Performance Of Vgg16 And Efficientnetb0-Based Transfer Learning For Brain Tumor Classification, Huzain Azis, Rizqi Ananda Jalil, Abdul Rachman Manga'

Knowledge Engineering and Data Science

The classification of brain tumors using Magnetic Resonance Imaging (MRI) images is essential for early diagnosis but remains challenging due to tumor diversity. This study evaluates the effectiveness of two distinct architectural approaches for feature extraction: VGG16, representing a classic sequential design, and EfficientNetB0, a modern architecture optimized for parameter efficiency through compound scaling. Using a dataset of 2,870 MRI images categorized into four classes, we implemented a static transfer learning strategy by freezing all pre-trained ImageNet weights to act as fixed feature extractors. Features were extracted from specific layers, the final pooling layer for VGG16 and the Global Average …

Ahp–Python Framework For Multicriteria Modeling Of Rice Production In Asean, Mayang Anglingsari Putri, Risqy Siwi Pradini, Anuraga Jayanegara, Alexander Dimas Yonanta Putra

Knowledge Engineering and Data Science

Rice production is a key indicator of food security and agricultural stability in Southeast Asia, especially among Association of Southeast Asian Nations (ASEAN) countries. Despite shared regional goals, disparities in rice production remain, and previous studies mainly rely on descriptive statistics, lacking structured multicriteria decision-making frameworks and computational tools for cross-country comparisons. This study addresses these gaps by proposing an integrated Analytic Hierarchy Process (AHP)–Python framework to evaluate and rank ASEAN rice production from 2013 to 2022. Three criteria are used: Total Production Volume (K1), Production Growth Trend (K2), and Recent Year Performance (K3), capturing both long-term consistency and short-term …

Stable Numerical Solution Of An Elliptic Pde Inverse Problem Subject To Incomplete Boundary Conditions, Qasim Abd Ali Tayyeh

Knowledge Engineering and Data Science

This study addresses the challenging problem of solving inverse elliptic Partial Differential Equations (PDE) with incomplete boundary data, data available only on a part of the domain boundary. The aim is to develop a robust, effective numerical framework that consistently recovers parameters and/or sources from incomplete, ill-posed data. In the case of a variational problem discretized by the Finite Element Method (FEM) and solved by an adjoint-based optimization strategy, the framework uses Tikhonov regularization. Morozov's Discrepancy Principle is used to determine regularization parameters that achieve the best balance between accuracy and stability. Even with 5% noise in the measurement data, …