Leveraging Blockchain Technology In Mining Supply Chain Management: Vietnam Coal Mining Case Study, Thu Hang Nguyen, Nguyen Trung Tuan, Hong Anh Le

Journal of Sustainable Mining

The global economy heavily relies on the mining industry for essential resources such as coal, oil, gas, and metal ores. However, the intricate nature of mining operations poses significant challenges in supply chain management (SCM). This research investigates how blockchain technology can address these challenges within mining supply chain management (MSCM). Through a systematic review of existing research and projects, a conceptual blockchain model is proposed to improve mining supply chains’ transparency, traceability, efficiency, and sustainability, specifically focusing on coal supply chain management in Vietnam. The model integrates distributed ledgers, smart contracts, IoT devices, identity management, and consensus mechanisms to …

Patient-Specific Lumped-Parameter Model For Quantifying Vessel-Specific Remodeling And Predicting Right Ventricular Function In Pulmonary Hypertension, Christopher G. Lechuga, Amirreza Kachabi, Mitchel J. Colebank, Claudia E. Korcarz, Farhan Raza

Faculty Publications

Purpose: Pulmonary hypertension (PH) is a heterogeneous disease with patient-specific variability and vessel-specific remodeling, which eventually lead to right ventricular (RV) failure. The gold standard for RV assessment—pressure–volume (PV) loop acquisition—is invasive and limited to specialized settings. This study aims to develop a patient-specific lumped-parameter model that quantifies vessel-specific remodeling and simulates RV PV loops across PH phenotypes using routine clinical data.

Methods: A lumped-parameter model was calibrated using right heart catheterization and echocardiography data. Model agreement was assessed by R2 values for pressure and flow goodness-of-fit, and model-derived hemodynamic metrics were comparedwith clinical values. A dimensionality reduction approach was …

The Student Movement Volume 110 Issue 11: A Snowy Start To Spring Semester, Corinna Bevier, Audrey Lim, Addison Randall, Jj Nixon, Megan Constantine, Joey Carrion, Isa Demoraes, Caleb Chung, Aiko J. Ayala Rios, Reagan Westerman, Joseph Piresson Ii, Anna Rybachek, Maya Thomas

The Student Movement V. 110 (2025-2026)

ARTS & ENTERTAINMENT

In the Doghouse: Canine Awarded for Acting Performance, Corinna Bevier

On the Trump-Kennedy Center, Audrey Lim

Students Step Up as Wind Symphony Keeps Winter Concert Alive, Addison Randall

HUMANS

Senior Spotlight: Derek Wonenberg, JJ Nixon

Lessons From 2025, Goals For 2026, Megan Constantine

NEWS

Spring Convocation Offers Spiritual Exhortation and Academic Celebration, Joey Carrion

Andrews University Experiences GYC, Isa DeMoraes

IDEAS

Finding Balance between Grind and Chill, Caleb Chung

The Price of Being an International Student (and How to Address It), Aiko J. Ayala Rios

The Internet: Tool or Foe?, Reagan Westerman

Op-Ed: A Letter for Better …

Characterization Of Ru(Ii) Polypyridyl Photosensitizers Bound To Tio2 Supports Through A New Covalent Metal-Ester Bonding Motif, D. M. S. C. Dissanayake, Christopher T. Lebarron, Laura C. Maybach, Joseph J. Kuchta Iii, Seyyedamirhossein Hosseini, Aaron K. Vannucci

Faculty Publications

The development of photoelectrochemical (PEC) devices involves the attachment of molecular photosensitizers onto solid supports. Particularly significant to this work are PECs that rely on ruthenium-based photosensitizers on high band gap metal oxide (MOx) supports. In this study, we have explored a new ester binding motif (MOx-ester) to covalently attach a ruthenium polypyridyl photosensitizer to TiO₂. This new MOx-ester photoanode is compared to the traditional photoanodes that utilize acid/base binding groups to attach the molecular Ru sensitizers to TiO₂. The new MOx-ester binding motif is characterized by cyclic voltammetry UV-Vis, solid state ¹³C NMR, and …

The Hidden Opportunities Within The Stem Workforce Pipeline, Brad Schenker

STEM for Success Showcase

_{Five Connections in STEM Education That Can Harmonize America's Workforce Pipeline}

The recent changes to our education system have created a state of uncertainty and instability, which presents a unique moment in time to change systemic design failures that can be accomplished within existing budget, people and resource constraints.

This analysis of research, mostly from 2015-2025, identifies five opportunities in the STEM workforce pipeline to create “Moments of Impact” that can change the direction of a student's STEM education pathway.

From Latent Manifolds To Targeted Molecular Probes: An Interpretable, Kinome-Scale Generative Machine Learning Framework For Family-Based Kinase Ligand Design, Gennady M. Verkhivker, Ryan Kassab, Keerthi Krishnan

Mathematics, Physics, and Computer Science Faculty Articles and Research

Scaffold-aware artificial intelligence (AI) models enable systematic exploration of chemical space conditioned on protein-interacting ligands, yet the representational principles governing their behavior remain poorly understood. The computational representation of structurally complex kinase small molecules remains a formidable challenge due to the high conservation of ATP active site architecture across the kinome and the topological complexity of structural scaffolds in current generative AI frameworks. In this study, we present a diagnostic, modular and chemistry-first generative framework for design of targeted SRC kinase ligands by integrating ChemVAE-based latent space modeling, a chemically interpretable structural similarity metric (Kinase Likelihood Score), Bayesian optimization, and …

Iron-Involved Orr Electrocatalysts Under The Lens Of In-Situ/Operando Mössbauer Spectroscopy, Sumbal Farid, Jun-Hu Wang

Journal of Electrochemistry

Exploring cost-effective and efficient catalysts for oxygen reduction reaction (ORR) poses a significant challenge, especially in the pursuit of alternatives to precious metals like platinum. Significant advancements have driven electrochemists to develop efficient ORR catalysts using abundant materials, particularly iron (Fe)-based, known for their exceptional performance in ORR. While the crucial function of Fe in boosting ORR catalytic activity is recognized, the connection between material attributes and catalytic performance remains enigmatic. Understanding the dynamic processes involved in oxygen electrocatalysis is paramount for designing precious-metals-free ORR electrocatalysts. Mössbauer spectroscopy stands out as a powerful technique for deciphering the structural characteristics of …

The Ntp Anode For Aqueous Sodium Ion Batteries: Recent Advances And Future Perspectives, Ming-Li Wang, Xue-Ying Su, Zheng-Xiang Shan, Shu-Zhe Yang, Heng-Rui Guo, Hao Luo, Dong-Liang Chao

Journal of Electrochemistry

Aqueous sodium-ion batteries (ASIBs) have attracted great attention in aqueous batteries due to their merit of high safety. However, the constrained work potential and insufficient chemical stability of anode materials in aqueous electrolytes hinder the large-scale application of ASIBs. Sodium titanium phosphate, NaTi₂(PO₄)₃ (NTP), is considered one of the most promising anode materials for ASIBs due to its excellent electrochemical performance and tunable structure. Recently, great achievements have been made in the development of NTP, however, a comprehensive review of existing studies is still lacking. This article firstly introduces the basic properties of NTP and …

Development Status And Existing Problems Of Ion-Solvation Membranes For Electrolysis Of Water, Zheng-Yuan Zhou, Yu-Tao Sun, Zheng-Bang Liu, Chuan-Zheng Wang, Yong-Nan Zhou, Xi Luo, Tian-Chi Zhou, Jin-Li Qiao

Journal of Electrochemistry

Ion-solvaing membranes (ISMs) have received extensive attention in recent years as a key component in electrochemical energy conversion and storage devices. This article provides an overview of structural composition, performance advantages, research progress, ion conduction mechanism and existing issues of ISMs, primarily classifying them according to the matrix structure. A detailed analysis of performance enhancement methods, key performance indicators of ISMs and performance influencing factors is also presented. The article contributes to further optimizing the design and application of ion-solvation membranes, providing theoretical support for the development of fields such as hydrogen production through electrolysis of water and electrochemical energy …

Carbon Supported Octahedral Ptni Nanoparticles (Oct-Ptni/C) As A Cathode Catalyst For Proton Exchange Membrane Fuel Cells (Pemfcs) With Improved Activity And Durability, Zi-Wei Feng, Hai-Zhong Chen, Xiao Duan, Ling Tang, Yun-Kun Zhao, Long Huang

Journal of Electrochemistry

Proton exchange membrane fuel cells (PEMFCs) are considered as a promising renewable power source. However, the massive commercial application of PEMFCs has been greatly hindered by their high expense and less-satisfied performance mainly due to the sluggish oxygen reduction reaction (ORR) kinetics even on state-of-the-art Pt catalyst. Octahedral PtNi nanoparticles (oct-PtNi NPs) with excellent ORR activity in a half-cell have been widely studied, while their performance in membrane electrode assembly (MEA) has much less reported. Herein, we investigated the MEA performance using the carbon supported oct-PtNi NPs (oct-PtNi/C) as the cathode catalyst. Under the mild acid washing condition, the surface …

Promoting Equitable Early Childhood School Readiness Through Prevention And Advocacy In A Rural Community, Teri Kimberling

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement

The goal of this Social Change Portfolio is to promote healthier developmental outcomes for young children in our rural community by increasing access to early childhood readiness supports that prevent social-emotional and behavioral difficulties in kindergarten.

Significant Findings

Early childhood school readiness is a significant public health and mental health concern in the rural coastal community of Lincoln County, Oregon. A large number of children enter kindergarten without any school readiness, whether it was in a formal preschool or just done at home. This can be due to many factors, including socioeconomic disparities, such as high poverty rates, …

Students’ Motivation For Online Learning Of English As A Second Language Through The Lens Of The Self-Determination Theory, Wajeeh Daher, Ahlam Anabousy, Ahmad Amer, Nael Issa

Higher Learning Research Communications

Learning English as a second language (ESL) can be challenging for students, so it is essential to keep them motivated. One way to motivate students is through electronic programs (e-programs) that can enhance their motivation to learn. This research examined student learning motivation through the lens of the self-determination theory (SDT), with 39 preparatory-year students participating and learning in a blended context. Nine students were interviewed regarding their motivation to learn English using the electronic program, and both quantitative and qualitative research methods were used to examine participants’ motivation to learn English in that context. The quantitative results indicated that …

Observation-Based Reconstruction Of High-Resolution Daily Temperature Field Using Lapse-Rate-Constrained Kriging In Complex Terrain: A Nationwide Dataset For South Korea, Youjeong Youn, Menas Kafatos, Seung Hee Kim, Yangwon Lee

Institute for ECHO Articles and Research

High-resolution air-temperature fields are essential for climate, hydrologic, and ecological applications in complex terrain, yet operational products often lack the spatial detail to resolve topographic effects. We develop an observation-driven reconstruction of daily air temperature fields for South Korea (2024) using ordinary kriging with lapse-rate correction (OKLR), integrating a dense network of over 500 stations from the Automatic Mountain Meteorology Observation System (AMOS) and the Automated Surface Observing System (ASOS). The OKLR framework systematically removes elevation-driven trends using a physically based fixed lapse rate (–6.5 °C km−1), performs kriging on detrended residuals, and reapplies Digital Elevation Model (DEM)-based corrections to …

A Systematic Review Of Cyber Risk Analysis Approaches For Wind Power Plants, Muhammad Arsal, Tamer Kamel, Hafizul Asad, Asiya Khan

School of Engineering, Computing and Mathematics

Wind power plants (WPPs), as large-scale cyber–physical systems (CPSs), have become essential to renewable energy generation but are increasingly exposed to cyber threats. Attacks on supervisory control and data acquisition (SCADA) networks can cause cascading physical and economic impacts. The systematic synthesis of cyber risk analysis methods specific to WPPs and cyber–physical energy systems (CPESs) is a need of the hour to identify research gaps and guide the development of resilient protection frameworks. This study employs a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol to review the state of the art in this area. Peer-reviewed studies published …

Adaptive Multi-Agent Intelligence: A Dynamic Data Management System For Enhanced Data Quality And Reconciliation, Anthony Taeyang Vigil

USF Tampa Graduate Theses and Dissertations

Organizations struggle with data quality problems that cost them millions of dollars annually. Manual data cleanup and standardizing, also known as reconciliation, can take skilled analysts days to complete and can still contain human errors. This dissertation addresses this challenge by developing and validating the Origin Data Management System, which automates processes that traditionally require days of manual work. The system achieved up to 100% accuracy in standardizing vendor names and identifying CEO information across real-world test datasets from Jefferson County Public Schools, Forbes, and Fortune Magazines. Processing time dropped from days to minutes—a 96-fold improvement over manual methods. These …

Study Of The Spatial Effect Of Geothermal On Surface Water Quality (Case Study Of Ci Pamatutan Watershed, Parakansalak Sub-District), Fauzan Abdurrahman Masykur, Prasetiawan Pras, M. Rafli Ariq Rianputra, Nesya Desfarivana Umaya, Vanesa Kelly Gabriela, Mangapul Parlindungan Tambunan, Supriatna Supriatna

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Geothermal plays an important role in affecting surface water quality with both positive and negative effects. It becomes an efficient renewable energy source in generating electricity without producing harmful gases. However, the presence of geothermal affects the quality of surface water in a watershed. This research is focused on the Mount Salak geothermal area which has volcanic and tectonic activity. Parameters such as electrical conductivity (measured in millisiemens/cm) were used to measure the content of minerals and dissolved compounds in the water. Total Dissolved Solids (TDS) measured in ppt is used to quantify dissolved solids, while water acidity (pH) indicates …

Searching For Value In The Wastelands Of Commodity Fetishism, Robert Goldman, Andrew Miller

Fast Capitalism

No abstract provided.

Full Issue, Fast Capitalism Editorial Team

Fast Capitalism

No abstract provided.

Imaginary Fathers, Jonathan Holden

Creative Nonfiction Magazine

No abstract provided.

Deletion Practices In The Era Of Permanent Digital Memory, Eric Kula

Fast Capitalism

No abstract provided.

Needless Necessity: Sameness And Dynamic In Capitalist Society, Marcel Stoetzler

Fast Capitalism

No abstract provided.

Driving, Dashboards And Dromology: Analysing 1980s Videogames Using Paul Virilio’S Theory Of Speed, Alex Wade

Fast Capitalism

No abstract provided.

Coming Home After The Surge: Dissecting The Heart Of The Matter Report From The American Academy Of Arts & Sciences, Timothy W. Luke

Fast Capitalism

No abstract provided.

Full Issue, Fast Capitalism Editorial Team

Fast Capitalism

No abstract provided.

Algorithmic Capitalism In The Epoch Of Digital Reason, Michael A. Peters

Fast Capitalism

No abstract provided.

(Auto)Biography And Social Theory: A Perspective On The Life And Work Of Ben Agger (1953-2015), Lukas Szrot

Fast Capitalism

No abstract provided.

Clustering Of Temporal And Visual Data: Recent Advancements, Priyanka Mudgal

Computer Science Faculty Publications and Presentations

Clustering plays a central role in uncovering latent structure within both temporal and visual data. It enables critical insights in various domains including healthcare, finance, surveillance, autonomous systems, and many more. With the growing volume and complexity of time-series and image-based datasets, there is an increasing demand for robust, flexible, and scalable clustering algorithms. Although these modalities differ—time-series being inherently sequential and vision data being spatial—they exhibit common challenges such as high dimensionality, noise, variability in alignment and scale, and the need for interpretable groupings. This survey presents a comprehensive review of recent advancements in clustering methods that are adaptable …

Land Use And Sovereignty Along The Catawba River, Thomas C. Brugh, Lucile C. Rencher

Student Scholarship

This document-based case study explains how land-use change along the Catawba River Corridor (Lancaster and York Counties, South Carolina) has been produced through the interaction of property rights (dominium) and rule-setting authority (imperium), showing why sovereignty continues to shape development even after land disputes appear “settled.” Through analyzing legal records (Treaty of Nation Ford, the 1959 Catawba Division of Assets Act, the 1986 Supreme Court timing decision, and the 1993 Settlement Act), planning documents, parcel records, and field observations, we trace how shifting jurisdiction and title certainty structured what kinds of land uses were possible and when. We argue that …

Eyes Like Mine, Korey E. Crawford

Stimulus: A Medical Humanities Journal

No abstract provided.

William Richter V. Duquesne University Of The Holy Spirit

2026 Decisions

USDC for the Western District of Pennsylvania