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Enhancing Teachers’ Intercultural Literacy: Examining The Impact Of A Fulbright-Hays Group Projects Abroad Program To Indonesia, Paul R. Wallace Dec 2026

Enhancing Teachers’ Intercultural Literacy: Examining The Impact Of A Fulbright-Hays Group Projects Abroad Program To Indonesia, Paul R. Wallace

Journal of Global Education and Research

The Fulbright-Hays Group Projects Abroad (GPA) Program offers institutional grants to support overseas experiences and curriculum development for educators. The study reported here focused on changes in the intercultural literacy of participants involved in a 4-week Fulbright-Hays GPA Program to Indonesia. Participants in this study included K-12 teachers from public schools and teacher education majors. Before and after traveling to Indonesia, eight participants completed a self-assessment of intercultural literacy, which measured competencies, understandings, attitudes, language proficiencies, participation, and identities deemed necessary for successful living and working in a cross-cultural environment. This article presents the results of the assessment survey, along …

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Did Seismic Events Trigger The Growth Of Aragonitic Speleothems In Mawmluh Cave, North-East India?, Dildi Dildi, Dana Riechelmann Dr., Michael Weber Dr., Anne Jantschke Dr., Regina Mertz-Kraus Dr., Denis Scholz Dr. Oct 2026

Did Seismic Events Trigger The Growth Of Aragonitic Speleothems In Mawmluh Cave, North-East India?, Dildi Dildi, Dana Riechelmann Dr., Michael Weber Dr., Anne Jantschke Dr., Regina Mertz-Kraus Dr., Denis Scholz Dr.

International Journal of Speleology

Mawmluh Cave, north-east India, is located in a seismically very active region within the Himalayas with frequent earthquakes of varying magnitude. So far, speleothems from the cave have mainly been used to reconstruct past monsoon variability. The potential effect of seismic events on speleothem formation in Mawmluh Cave, however, has not been studied in detail yet. We investigated three stalagmites from Mawmluh Cave, each predominantly consisting of calcite overlain by substantially younger aragonite at the top (i.e., an aragonite ‘cap’). 230Th/U-dating shows that the initiation of aragonite growth occurred between 1859 and 1950 CE in agreement with previous studies. The …

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Related Arts Teachers In A Professional Learning Community: On The Phenomenon Of Implementation, Noah Friedman Oct 2026

Related Arts Teachers In A Professional Learning Community: On The Phenomenon Of Implementation, Noah Friedman

Journal of Practitioner Research

In recent decades, the popularity of teacher collaboration and data-driven instructional practices has seen the increased use of the professional learning community (PLC) model as a method for school improvement. Within the PLC framework are singletons, educators who are the only ones who teach their subject in their buildings (Hansen, 2015). In elementary school settings, related arts teams (e.g. music, art, physical education, and so on) are often included in a PLC as an afterthought. To accommodate the distinctive needs of this team, I created an intervention tool and method to provide support to related arts teams as they implement …

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The Role Of Emotions In Understanding Inquiry As Stance, Yun-Chen Yen, Rachel Wolkenhauer Oct 2026

The Role Of Emotions In Understanding Inquiry As Stance, Yun-Chen Yen, Rachel Wolkenhauer

Journal of Practitioner Research

This case study of a Taiwanese teacher candidate’s inquiry experience during her internship uses emotions as a lens for analyzing how she developed and refined her inquiry stance as a critical habit of mind. Using emotions as points of reflection and action, the teacher candidate came to see herself as a responsible and critical generator of knowledge, understood practice as a synthesis of reflection and action, and reframed the purpose of inquiry as elevating student voices and cultivating teacher curiosity. An inquiry community played a critical role in sustaining her engagement and commitment. This study suggests that teacher emotions can …

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Attention-Enhanced Multimodal Fusion Of Elevation And Aerial Imagery For Sinkhole Segmentation, Junfeng Zhu, Desireé Cunningham, Nathan Jacobs Oct 2026

Attention-Enhanced Multimodal Fusion Of Elevation And Aerial Imagery For Sinkhole Segmentation, Junfeng Zhu, Desireé Cunningham, Nathan Jacobs

Sinkhole Conference 2026

Image segmentation, the task of assigning a class label to each pixel in an image, has been widely applied in remote sensing to identify surficial geological and hydrological features from data sources such as multispectral satellite imagery, aerial photography, and digital elevation models. UNet is among the most widely adopted convolutional neural network architectures for segmentation, owing to its encoder–decoder structure and skip connections that enable precise spatial localization. UNet has been applied to detect sinkholes using lidar-derived high-resolution digital elevation data; however, existing models still fall short of the accuracy of manual sinkhole mapping. In this study, we aim …

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Comparing Manual And Automated Methods In Sinkhole Delineation: A Cantabrian Mountains (Spain) And Tasman Mountains (New Zealand) Case Study, Mario Puente-Sierra, Javier Santos-González, Rosa B. González-Gutiérrez Oct 2026

Comparing Manual And Automated Methods In Sinkhole Delineation: A Cantabrian Mountains (Spain) And Tasman Mountains (New Zealand) Case Study, Mario Puente-Sierra, Javier Santos-González, Rosa B. González-Gutiérrez

Sinkhole Conference 2026

Studies of karst landforms, such as sinkholes, have advanced in recent years due to technological advances and the rise of automated detection methods. Such methods offer notable time-saving strengths, but their limitations in complex terrains are frequently overlooked in modern literature. To compare these automated methods to traditional manual methods, we selected four karst massifs in the Cantabrian Mountains (Spain) and two in the Tasman Mountains (New Zealand) as study areas. High-resolution LiDAR-derived Digital Elevation Models were used to identify and map sinkholes. Automated detection was performed using a Geographic Information System and included: i) a depression-filling method; ii) a …

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Statewide Sinkhole Susceptibility Mapping In Florida Using Explainable Geoai, Osama M. Altarawneh, Weiwei Zhan, Clint Kromhout Oct 2026

Statewide Sinkhole Susceptibility Mapping In Florida Using Explainable Geoai, Osama M. Altarawneh, Weiwei Zhan, Clint Kromhout

Sinkhole Conference 2026

Sinkholes cause persistent damage to infrastructure, property, and groundwater resources across Florida. Statewide sinkhole hazard mitigation has been constrained by incomplete inventories and the absence of a high-resolution susceptibility map. This study presents a statewide sinkhole susceptibility assessment using an explainable GeoAI framework that integrates the citizen-reported Subsidence Incident Reports (SIR) database and a geologist-confirmed collapse-type sinkhole inventory from the Florida Geological Survey (FGS). Random Forest (RF) is used as the primary learner with ten geologic, hydrologic, topographic, and anthropogenic predictors. The influence of negative-sample buffer geometry on model behavior is evaluated across five annular buffer conditions (100-1000 m through …

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Mobile Lidar Scans Of Caves: Methods For Tying In Ground Control Points, Robert E. Salaz, Jake Slyder, Ellen Trautner, Georgia Schneider Oct 2026

Mobile Lidar Scans Of Caves: Methods For Tying In Ground Control Points, Robert E. Salaz, Jake Slyder, Ellen Trautner, Georgia Schneider

Sinkhole Conference 2026

Mapping cave passages using modern techniques such as Light Detection and Ranging (LiDAR) and photogrammetry are still in the juvenile stages. Newer technologies such as Simultaneous Location and Mapping (SLAM) LiDAR and faster computers have enabled speleologists to map caves much faster than traditional methods. From a land management perspective, the ability to efficiently collect detailed cave maps with reasonable precision quickly is crucial for decision making. The ongoing challenge with digital cave mapping using mobile LiDAR and photogrammetry techniques is geolocating the point-cloud underground. Mobile scanning methods can be tied to ground control points on the surface using high …

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Mapping Sinkholes And Closed Depressions In The Edwards Aquifer Recharge Zone: Comparison Of Lidar-Based Semi-Automated Detection Methods And Field Validation, Enzo Franceschi Genesi, Horia G. Olariu, Bradford Wilcox Oct 2026

Mapping Sinkholes And Closed Depressions In The Edwards Aquifer Recharge Zone: Comparison Of Lidar-Based Semi-Automated Detection Methods And Field Validation, Enzo Franceschi Genesi, Horia G. Olariu, Bradford Wilcox

Sinkhole Conference 2026

Sinkholes and closed depressions play a critical role in karst hydrology by facilitating rapid recharge to aquifer systems (Ford & Williams, 2007; White, 1988), yet their spatial distribution is often poorly quantified in large recharge zones, and the automated methods used to detect them vary widely in approach and reliability. This study compares three LiDAR-based automated detection methods to determine their relative performance for mapping sinkholes and closed depressions within the Edwards Aquifer Recharge Zone, using a 0.5-meter resolution bare-earth Digital Elevation Model derived from high-density airborne LiDAR point cloud data (12.66 points/m²) obtained from OpenTopography. The three methods evaluated …

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Remediating Groundwater In A Karst Terrane: Encouraging Results And Lessons Learned, Urvi Tulsiani, Jason M. Tillotson, Allison Nelan, Keith A. White Oct 2026

Remediating Groundwater In A Karst Terrane: Encouraging Results And Lessons Learned, Urvi Tulsiani, Jason M. Tillotson, Allison Nelan, Keith A. White

Sinkhole Conference 2026

Karst aquifers, characterized by a combination of multiple porosity types, discrete flow paths, and variable hydraulic conductivities, create a highly complex and heterogeneous environment that influences both the storage capacity and transport of contaminants in the subsurface. These complexities of karst aquifers present unique challenges for remediating contaminated groundwater. Pilot studies were performed at eight sites at Redstone Arsenal (RSA) in Huntsville, Alabama, to assess the viability of in situ injection-based remedies to treat groundwater impacted by chlorinated volatile organic compounds (CVOCs) and perchlorate in the epikarst, the uppermost, highly weathered rind of karst bedrock. The studies assessed effectiveness of …

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Ongoing Dye Tracing Prompts Major Reevaluation Of Groundwater Divides For The Lost River Karst System, Bowling Green, Ky, Usa, Lee Anne Bledsoe, Chris G. Groves, Nick Lawhon Oct 2026

Ongoing Dye Tracing Prompts Major Reevaluation Of Groundwater Divides For The Lost River Karst System, Bowling Green, Ky, Usa, Lee Anne Bledsoe, Chris G. Groves, Nick Lawhon

Sinkhole Conference 2026

The Lost River Groundwater Basin located in south-central Kentucky may be one of the most thoroughly investigated karst basins in the US. Over the past 50 years, numerous studies have been conducted primarily due to the environmental challenges created by urban development on a well-developed sinkhole plain. The City of Bowling Green (pop. ~80,000) covers much of the basin but lies primarily in the northern, downstream reach nearest the main outlet of the system, the Lost River Rise. However, land use in the southern, up-gradient, portion of the basin is quickly changing from undeveloped and/or agriculture to industrial and residential. …

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Cover Collapse Sinkholes In Stormwater Infrastructure In The Urban Karst Of Bowling Green, Kentucky: Occurrence, Mitigation, And Prevention, Nick Lawhon P.G., C.F.M. Oct 2026

Cover Collapse Sinkholes In Stormwater Infrastructure In The Urban Karst Of Bowling Green, Kentucky: Occurrence, Mitigation, And Prevention, Nick Lawhon P.G., C.F.M.

Sinkhole Conference 2026

Cover collapse sinkholes are an extremely common geohazard in karst terrains. These features, formed by concentrated flows of water entering the subsurface through discrete points in the epikarst, are particularly common in stormwater infrastructure in Bowling Green, KY. There are currently 787 known stormwater basins and hundreds of miles of stormwater conveyances in this fast-developing city, all of which concentrate stormwater flows over the naturally sinkhole-prone karst system. This paper reports on the occurrence of cover collapse sinkholes in stormwater infrastructure, particularly retention and detention basins, from inspections over the past 7 years and records from City-managed sinkhole repair projects, …

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Brine-Enhanced Hypogenic Speleogenesis And Concentrated Karst Development In The Burton Flats, Eddy County, New Mexico, Dave Decker, Garrett Jorgensen Olague, Michael Jones, Ryan Palmer Oct 2026

Brine-Enhanced Hypogenic Speleogenesis And Concentrated Karst Development In The Burton Flats, Eddy County, New Mexico, Dave Decker, Garrett Jorgensen Olague, Michael Jones, Ryan Palmer

Sinkhole Conference 2026

The Burton Flats, a 259-km² gypsum-dominated outcrop of the Permian Rustler Formation 26 km northeast of Carlsbad, New Mexico, contains more than 3,500 documented karst features — an anomalously high density relative to surrounding areas of equivalent lithology. The proposed explanation is a two-step brine-enhanced dissolution mechanism driven by the spatial intersection of three factors: the eastward-dipping Rustler Formation outcrop, the underlying Capitan Aquifer, and the intervening Permian Salado Formation. Fresh Capitan water dissolves Salado halite, generating an NaCl-enriched brine up to three times more aggressive toward gypsum dissolution than fresh water; this brine ascends into the Rustler Formation along …

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Cognitive Resilience At The Edge: Hyperdimensional Computing Versus Deep Learning For Hardware-Degraded Rf Classification, Adrian B. Cisneros, Jeong Yang Sep 2026

Cognitive Resilience At The Edge: Hyperdimensional Computing Versus Deep Learning For Hardware-Degraded Rf Classification, Adrian B. Cisneros, Jeong Yang

Military Cyber Affairs

Autonomous Collaborative Combat Aircraft (CCA) operating in contested electromagnetic environments must classify Radio Frequency (RF) signals on edge silicon that degrades over the mission lifetime due to thermal stress, radiation, and manufacturing variation. Deep neural networks dominate RF classification on pristine hardware, but their weights are precise and interdependent, causing catastrophic accuracy collapse as the underlying chip ages. We investigate whether Hyperdimensional Computing (HDC), a brain-inspired paradigm that distributes information across thousands of dimensions, can provide a reliability floor where Deep Learning fails. Using the RadioML 2016.10A dataset filtered to five digital modulations relevant to drone command-and-control links, we trained …

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Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine Sep 2026

Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine

Military Cyber Affairs

Ransomware represents one of the most disruptive threats in the cyber landscape, yet hands-on malware analysis remains rare in undergraduate cybersecurity curricula. This paper presents the design, implementation, and evaluation of an experiential learning module centered on the WannaCry ransomware case study, deployed in a senior-level course at West Virginia University. Students performed static and dynamic analysis using industry-standard tools. Pre- and post-module assessments demonstrated measurable gains in self-reported competency across seven technical dimensions. The module's competencies align directly with DoD Cyber Workforce Framework Work Role 212, Cyber Defense Forensics Analyst, supporting education-to-workforce pipeline development.

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From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder Sep 2026

From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder

Military Cyber Affairs

Federal agencies face a fiscal year 2027 target for enterprise-wide Zero Trust deployment, but NIST SP 800-207A defines logical components without identifying the Kubernetes technologies that implement them. This paper proposes a three-tier mapping of the Policy Engine, Policy Administrator, and Policy Enforcement Point to service mesh, microsegmentation, and perimeter tooling, stating the criteria by which each component is classified. It then applies a defined rubric to six Zero Trust vendors across component alignment, Kubernetes capability, federal authorization posture, and evidence quality, finding that no single vendor covers all three tiers. The mapping is a testable architectural proposition; a Stage …

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Hybrid Deep (Cnn-Bilstm) Intrusion Detection For Defense And Mission-Critical Networks, Corey A Cheng, Jermaine Anim-Addo, Asma Jakir Hussain, Zion O Smith-Fox, Sanjay Goel, Yuksel Celik Sep 2026

Hybrid Deep (Cnn-Bilstm) Intrusion Detection For Defense And Mission-Critical Networks, Corey A Cheng, Jermaine Anim-Addo, Asma Jakir Hussain, Zion O Smith-Fox, Sanjay Goel, Yuksel Celik

Military Cyber Affairs

This article examines how hybrid deep learning can strengthen intrusion detection for military and defense networks. Using the CSE-CIC-IDS2018 dataset, the study evaluates a CNN-BiLSTM model designed to detect benign traffic and multiple attack categories, including DDoS, DoS, botnet, brute-force, web attack, and infiltration activity. The model achieved strong multi-class detection performance, with 0.9893 accuracy and 0.9979 ROC-AUC. The findings suggest that AI-supported intrusion detection can improve cyber defense operations, analyst triage, and protection of mission-critical networks.

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Characterizing Advanced Persistent Threats With Cyber Attack Flow Metrics, Tyler Miller, Caleb Chang, Shouhuai Xu Sep 2026

Characterizing Advanced Persistent Threats With Cyber Attack Flow Metrics, Tyler Miller, Caleb Chang, Shouhuai Xu

Military Cyber Affairs

Cyber attack campaigns vary not only in scale but in structure, yet conventional characterizations often reduce them to a single dimension such as technique count or impact severity. In this paper we extend the concept of cyber attack flows by defining three new metrics, novelty, technique complexity and flow complexity. Then we characterize the attack flows of three advanced persistent threat campaigns using these metrics and draw insights regarding their capabilities. Our findings include that low novelty does not equate to low attack capabilities and that exploitation of an internet-facing appliance is a common initial attack vector.

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Semantic Shields: Automating Critical Infrastructure Defense Via Nlp-Driven Ransomware Profiling, Henry Trowbridge, Ian Zalcberg, Ryan Schley, Carter Yagemann, Natasha Phan, Srikar Maduposu, Vimal Buck Sep 2026

Semantic Shields: Automating Critical Infrastructure Defense Via Nlp-Driven Ransomware Profiling, Henry Trowbridge, Ian Zalcberg, Ryan Schley, Carter Yagemann, Natasha Phan, Srikar Maduposu, Vimal Buck

Military Cyber Affairs

Ransomware poses a growing threat to critical infrastructure, where successful attacks can disrupt operational technology (OT) and industrial control systems (ICS) with significant public safety consequences. However, attributing ransomware incidents to specific threat actors remains challenging due to ransomware-as-a-service ecosystems, actor rebranding, and the obfuscation of traditional indicators of compromise. This paper presents Semantic Shields, an NLP-driven attribution framework that leverages BERT-generated semantic embeddings and DBSCAN clustering to profile ransomware actors through the linguistic characteristics of ransom notes. Using a dataset of 295 ransom notes from 189 distinct threat groups, the framework achieved an 87.2% true positive clustering rate and …

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Closing The Interpretability Gap: Explainable Ml-Based Malware Detection For Defensive Cyberspace Operations, Tashi Stirewalt, Sean Hodgson, Puumaaya Tahiru, Assefaw Gebremedhin Sep 2026

Closing The Interpretability Gap: Explainable Ml-Based Malware Detection For Defensive Cyberspace Operations, Tashi Stirewalt, Sean Hodgson, Puumaaya Tahiru, Assefaw Gebremedhin

Military Cyber Affairs

This paper presents an end-to-end, explainable malware triage pipeline designed for defense-oriented cyber operations. It combines high-performance static detection methods with analyst-centered interpretability. Utilizing the EMBER 2024 Windows PE subset, we train and evaluate four classifiers and select LightGBM as the production model based on its predictive performance, inference efficiency, and compatibility with exact tree-based attribution. The deployed system consists of four sequential components: PE feature extraction, malware probability scoring, dual explainability (using SHAP and LIME), and large language model (LLM) report generation, all integrated within a Flask web interface. On a temporal test set of 1,080,000 samples, LightGBM achieves …

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Llm-Generated Countermeasures For Iot Cyberattacks, James Alger, Michael Tu Sep 2026

Llm-Generated Countermeasures For Iot Cyberattacks, James Alger, Michael Tu

Military Cyber Affairs

The rapid expansion of the Internet of Things (IoT) has introduced significant cybersecurity challenges, particularly for resource-constrained devices that traditional intrusion detection systems often fail to protect effectively. This paper proposes a novel, two-phase autonomous security pipeline designed to bridge the gap between probabilistic threat detection and deterministic network enforcement. The framework first utilizes a custom Time Series Transformer (TST) to classify multivariate network traffic and identify specific attack vectors, such as ransomware, SQL injections, and malicious file uploads. In the second phase, an agentic AI layer, comprising a locally hosted Large Language Model (LLM) orchestrated via LangGraph, processes the …

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Erratum To: Wavelet-Based Multiscale Analysis Of Cave Co2 Concentration In Response To Short-Term High-Intensity Tourism Activities: Spatiotemporal Heterogeneity And Lag Characteristics, Editors Ijs Sep 2026

Erratum To: Wavelet-Based Multiscale Analysis Of Cave Co2 Concentration In Response To Short-Term High-Intensity Tourism Activities: Spatiotemporal Heterogeneity And Lag Characteristics, Editors Ijs

International Journal of Speleology

N/A

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The Fossil Pearls Of The Million-Pearls Flowstone, Fairgrounds Room, Fort Stanton Cave, New Mexico Usa, Victor J. Polyak, Paula P. Provencio, Yemane Asmerom Sep 2026

The Fossil Pearls Of The Million-Pearls Flowstone, Fairgrounds Room, Fort Stanton Cave, New Mexico Usa, Victor J. Polyak, Paula P. Provencio, Yemane Asmerom

International Journal of Speleology

‘Fossil’ cave pearls in the Fairgrounds Room of Fort Stanton Cave form two distinct layers in a flowstone sample, FS-14-2. The flowstone in the Fairgrounds Room covers a mud-silt bank and the extinct streambed that extends across the room. Uranium-series dates of two pieces of flowstone from this room, one piece from the higher end of the flowstone (FS-14-1, devoid of pearls), and another piece from the lower end of the flowstone (FS-14-2, rich in pearls), show that the flowstone was deposited during the Last Glacial period (60,000 to 11,000 yr BP).  The two cave-pearl layers in FS-14-2 yielded U-series …

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Smart Service Experience And Consumer Loyalty In Saudi Arabian Smart Hotels: The Mediating Roles Of Tourist Happiness And Value Co-Creation, Fahad M. Alhuqbani Sep 2026

Smart Service Experience And Consumer Loyalty In Saudi Arabian Smart Hotels: The Mediating Roles Of Tourist Happiness And Value Co-Creation, Fahad M. Alhuqbani

Journal of Global Business Insights

Drawing on Cognitive-Affective System Theory (CAST), this study investigates the mediating roles of tourist happiness and willingness to co-create value in the relationship between Smart Service Experience (SSE) and loyalty among consumers of smart hotels in Saudi Arabia. Data were collected from 367 guests who had stayed in a smart hotel in Saudi Arabia within the past year and analyzed using Partial Least Squares Structural Equation Modeling. The findings reveal that SSE positively influences both tourist happiness and co-creation willingness, which in turn drive guest loyalty. Notably, the affective pathway through tourist happiness exerts a stronger effect on loyalty than …

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Market Orientation And Strategic Performance In Global Firms: A Sequential Mediation Model Of Innovation And Supply Chain Resilience, Meisam Karami Sep 2026

Market Orientation And Strategic Performance In Global Firms: A Sequential Mediation Model Of Innovation And Supply Chain Resilience, Meisam Karami

Journal of Global Business Insights

This study examines how market orientation is associated with strategic performance in globally operating firms through the sequential mediating roles of innovation and supply chain resilience. Drawing on the Resource-Based View and Dynamic Capabilities Theory, the research proposes a capability-sequencing framework in which market orientation reflects a sensing capability, innovation represents a seizing capability, and supply chain resilience embodies a reconfiguring capability that stabilizes value creation under environmental disruption. Using cross-sectional survey data from 356 manufacturing and service firms engaged in international activities, partial least squares structural equation modeling was employed to test the hypothesized relationships. The results indicate that …

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The Competence Architecture Of Nonprofit Organizations: A Conceptual Model Linking Leadership, Governance, And Human-Capital Systems To Institutional Credibility, Franklin Livingston Sep 2026

The Competence Architecture Of Nonprofit Organizations: A Conceptual Model Linking Leadership, Governance, And Human-Capital Systems To Institutional Credibility, Franklin Livingston

Journal of Global Business Insights

Nonprofit organizations are judged through the competence of visible leaders, yet organizational competence is not reducible to the capabilities of any single executive. Reviews of nonprofit capacity report inconsistent associations between organizational capacity and performance. This conceptual article proposes a theoretical explanation for that inconsistency, one that remains compatible with methodological explanations. It develops a model of nonprofit competence architecture in which competence is an output that organizational systems continuously produce, correct, retain, and make visible, not a stock organizations possess. A theory-synthesis design specifies four mechanisms: Leadership-formation systems generate managerial capability; governance systems detect and partially compensate for capability …

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Algorithms In Battle: Ai, International Relations, And Future Warfare, Nikos Koutsoupias, Kyriakos Mikelis, Marios Nosios Sep 2026

Algorithms In Battle: Ai, International Relations, And Future Warfare, Nikos Koutsoupias, Kyriakos Mikelis, Marios Nosios

Journal of Strategic Security

This study examines the role of artificial intelligence (AI) in transforming contemporary warfare, with a particular emphasis on its applications in unmanned aerial platforms, sensor networks, and decision-support architectures. The analysis examines current operational uses, the algorithmic processes that enable them, and empirical insights drawn from the Russian-Ukrainian War. Findings indicate that machine learning enhances key military functions, including surveillance, navigation, targeting, fire coordination, and maintaining communication networks under conditions of electronic disruption. The emergence of loitering munitions and autonomous navigation systems reflects a pattern of incremental innovation, wherein automation augments operational efficiency without displacing human authority in decisions involving …

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Reinterpreting The Grand Ethiopian Renaissance Dam Dispute In The Nile Basin Through The Game Theories Of Attrition And Bargaining, Olileanya Amuche Ezugwu, Felix C. Chidozie, Adeola A. Adebajo Sep 2026

Reinterpreting The Grand Ethiopian Renaissance Dam Dispute In The Nile Basin Through The Game Theories Of Attrition And Bargaining, Olileanya Amuche Ezugwu, Felix C. Chidozie, Adeola A. Adebajo

Journal of Strategic Security

Why have more than a decade of negotiations, mediation efforts, and diplomatic interventions failed to produce a binding agreement on the Grand Ethiopian Renaissance Dam (GERD)? This article examines the hydro-politics of the Nile Basin through the lens of game theory, focusing on how bargaining behavior, strategic persistence, and competing perceptions of gains and losses shape state interactions. Drawing on the game of attrition and the bargaining game, the study analyzes the evolving strategies of Ethiopia, Egypt, and Sudan in the context of dam construction, filling, and operation. Rather than viewing the dispute solely as a contest over water allocation, …

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Teaching Strategic Intelligence In Political Transition, Henry W. Prunckun Sep 2026

Teaching Strategic Intelligence In Political Transition, Henry W. Prunckun

Journal of Strategic Security

Scholarship on intelligence ethics centers on operations, leaving the ethics of intelligence education and capacity-building under-theorized. This article develops retrospective moral reappraisal (RMR): the delayed moral reclassification of earlier teaching as ethically compromised when political transition and new public knowledge recontextualize what that teaching may have enabled. It argues that RMR is a pathway to moral injury because the injurious event is later learning—not the original classroom act—that one’s contribution is now plausibly implicated in harm. Linking RMR to complicity and enabling under uncertainty, the article clarifies how foreseeability, professional role morality, and leverage shape responsibility without requiring causal certainty …

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Optimizing Cannabinoid Exposure In An In Vitro Alzheimer's Disease Model: A Dose- And Time-Dependent Analysis Of Δ9-Thc, 11-Oh-Thc, And Thc-Cooh, Janiellys Brito, Chuanhai Cao Aug 2026

Optimizing Cannabinoid Exposure In An In Vitro Alzheimer's Disease Model: A Dose- And Time-Dependent Analysis Of Δ9-Thc, 11-Oh-Thc, And Thc-Cooh, Janiellys Brito, Chuanhai Cao

OneUSF Summer Undergraduate Research Symposium

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by the accumulation of amyloid-β plaques and neurofibrillary tau tangles, leading to progressive cognitive decline and synaptic dysfunction. Because current disease-modifying therapies for AD are extremely limited, there is a pressing need to investigate compounds that may influence underlying disease-related cellular processes. This study investigated the dose- and time-dependent effects of Δ9-tetrahydrocannabinol (Δ9-THC), 11-hydroxy-Δ9-tetrahydrocannabinol (11-OH-THC), and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THC-COOH) to identify cannabinoid exposure conditions and to establish a framework for future AD research. N2a-APP cells, a mouse neuroblastoma cell line genetically modified to overproduce human amyloid precursor protein (APP) and serve as an …

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