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Academic Year 2025–26 Annual Estimate Of The Strategic Security Environment, Us Army War College

Books, Monographs & Collaborative Studies

Maintaining strategic advantage demands professional discourse from across the force. The Academic Year 2025–26 Annual Estimate of the Strategic Security Environment provides a framework for those aspiring to tackle the Department of Defense’s most pressing challenges. This year’s authors highlight trending challenges and identify potential tension points across 15 sections organized into four enduring themes. This survey of regional, domestic, and institutional challenges represents the collective expertise of the US Army War College. The narrative is supplemented by a tailored list of 100 command-sponsored questions from 43 different Army and Joint organizations from across the Department of Defense. Combined, the …

Benford's Law In Basic Rnn And Long Short-Term Memory And Their Associations, Farshad Ghassemi Toosi

Department of Computer Science Publications

Benford's Law describes the distribution of numerical patterns, specifically focusing on the frequency of the leading digit in a set of natural numbers. It divides these numbers into nine groups based on their first digit, with the largest category comprising numbers beginning with 1, followed by those starting with 2, and so on. Each neuron within a neural network (NN) is associated with a numerical value called a weight, which is updated according to specific functions. This research examines the Degree of Benford's Law Existence (DBLE) across two language model methodologies: (1) recurrent neural networks (RNNs) and (2) long short-term …

Human Contributions To Global Soundscapes Are Less Predictable Than The Acoustic Rhythms Of Wildlife, Panu Somervuo, Tomas Roslin, Brian L. Fisher, Bess Hardwick, Deirdre Kerdraon, Dimby Raharinjanahary, Eric Tsiriniaina Rajoelison, Patrik Lauha, Lukas Griem, Petteri Lehikoinen, Pekka Niittynen, Esko Piirainen, Markus Lumme, Ville-Matti Riihikoski, Orlando Acevedo-Charry, Solny A. Adalsteinsson, Maaz Ahmad, Sandra Alcobia, Jón Aldará, Tad Dallas

Faculty Publications

Across the world, human (anthropophonic) sounds add to sounds of biological (biophonic) and geophysical (geophonic) origin, with human contributions including both speech and technophony (sounds of technological devices). To characterize society’s contribution to the global soundscapes, we used passive acoustic recorders at 139 sites across 6 continents, sampling both urban green spaces and nearby pristine sites continuously for 3 years in a paired design. Recordings were characterized by bird species richness and by 14 complementary acoustic indices. By relating each index to seasonal, diurnal, climatic and anthropogenic factors, we show here that latitude, time of day and day of year …

Comprehensive Review On Facets Of Cloud Computing In Context Of Security And Privacy, Saurabh Aggarwal, Ashish Khanna, Abhilash Maroju

Polytechnic Journal

The advent of information and communication technologies (ICT) has increased the appeal of cloud computing, allowing enterprises scalability and a pay-as-you-go pricing model. Cloud adoption is hampered by the serious security and privacy issues that arise when data and apps are outsourced to unaffiliated cloud providers. Many of the security solutions put out by researchers and organisations are unable to effectively handle numerous threats without going against the goals of cloud security. While security and privacy issues are frequently highlighted in the literature, there aren't many thorough technological answers available to successfully reduce these threats. However, studies that provide technological …

Understanding Youth Violence Through A Socio-Ecological Lens, Yok-Fong Paat, Kristopher Hawk Yeager, Erik M. Cruz, Rebecca Cole, Luis R. Torres-Hostos

School of Social Work Faculty Publications

Youth violence—the deliberate use of physical force or harm by young people between the ages of 10 and 24 to intimidate or cause harm to others, both online and offline—is a critical public health issue in the United States. Yet, successfully predicting future violent offenders is a complex and challenging task, as the question of why some youths resort to extreme violence while others refrain from it—despite facing similar risk factors—remains widely debated. This article highlights both risk and protective factors of youth violence through a socio-ecological lens to offer a comprehensive understanding of the multifaceted factors driving youth violence …

Artificial Intelligence In Stem Education: A Transdisciplinary Framework For Engagement And Innovation, Cristo Leon Ph.D., James Lipuma Ph.D., Xavier Oviedo Torres

STEM for Success Resources

This peer-reviewed article, Artificial Intelligence in STEM Education: A Transdisciplinary Framework for Engagement and Innovation by Cristo León, James Lipuma, and Xavier Oviedo-Torres, published in Frontiers in Education, examines how artificial intelligence (AI) is transforming STEM education through a transdisciplinary lens. Based on a systematic review of 41 scholarly studies (2020–2025), it analyzes AI integration in STEM classrooms, focusing on learner agency, adaptive assessment, and ethical challenges such as algorithmic transparency, equity, and inclusion. Guided by a Transdisciplinary Communication (TDC) framework and grounded in PRISMA protocols, the study applies tools like Nvivo, Excel, and VOSviewer for thematic coding and …

Parents Of Adolescents On Electronic Use And Attention Deficit Hyperactivity Disorder: Parental Perspectives, Sleep, Internalization, Jessica Wiepking

Walden Dissertations and Doctoral Studies

ADHD in adolescents is a common diagnosis, with exposure to daily electronic use. There is strong evidence for a relationship between electronic use and ADHD in adolescents. However, there is a gap on electronic use, internalized feelings, and sleep behaviors in ADHD adolescents and how sleep behaviors might impact that relationship. ADHD has its core symptoms that impact the individual daily. These symptoms need to be taken into consideration when looking at internalized feelings and sleep behavior patterns. The theoretical framework that aligns with this study is the Dopaminergic Dysregulation Theory (DDT). This theory is a module that suggests that …

Und Leads Implementation Team Meeting Agenda — July 9, 2025, University Of North Dakota

LEADS Implementation Documents

Agenda for the July 9, 2025 meeting of the UND LEADS Implementation Team. The agenda includes subgroup reports and discussion of the Equity data summary and its implications for data-informed recommendations.

Documents From The July 9, 2025 Meeting Of The University Of Montana Staff Senate, University Of Montana--Missoula. Staff Senate

University of Montana Staff Senate Meeting Minutes

Agenda and meeting minutes from the July 9, 2025 meeting of the University of Montana Staff Senate.

Wdr2 Regulates The Orphan Kinesin Kin-G To Promote Hook Complex And Golgi Biogenesis In Trypanosoma Brucei, Qing Zhou, Huiqing Hu, Ziyin Li

Faculty, Staff and Student Publications

The flagellum in Trypanosoma brucei plays crucial roles in cell locomotion, cell morphogenesis, and cell division, and its inheritance depends on the faithful duplication of multiple flagellum-associated structures. One of such cytoskeletal structures is a hairpin-like structure termed the hook complex, composed of a fishhook-like structure and a centrin arm structure, whose cellular functions remain poorly understood. We recently identified KIN-G, an orphan kinesin that promotes hook complex and Golgi biogenesis. Here we report a WD40 repeat-containing protein named WD40 Repeat-containing protein 2 (WDR2), which interacts with and regulates KIN-G. WDR2 co-localizes with KIN-G at the centrin arm, and knockdown …

From Novice To Expert: Preparing Your Peer Review, Diana M Proctor, Rachy Abraham, Shannon Esher Righi

Faculty, Staff and Student Publications

Peer review is the process by which the quality of scholarly work is assessed prior to being published, presented, or funded. The consequences of flawed research entering the public domain in the "post-truth" era highlight the need to improve peer review quality, which we believe can be achieved by standardizing training. Here, we aim to enhance the quality of published literature by presenting a systematic guide to train new reviewers (and aid experienced ones) in the art of peer reviewing the rigor of scientific manuscripts.

Migration Delays At Head-Of-Tide Weirs Are A Function Of Tidal Cycles And River Flows In Anadromous Twaite Shad Alosa Fallax, Mark I.A. Yeldham, J. Robert Britton, Charles Crundwell, Peter Davies, Jamie R. Dodd, Chris Grzesiok, Andrew D. Nunn, Randolph Velterop, Jonathan D. Bolland

School of Biological and Marine Sciences

Riverine barriers can have significant negative impacts on the spawning migrations of anadromous fishes, with barriers of low passage efficiency limiting access to upstream spawning areas. Even fish that pass a barrier can be negatively affected via migration delays and energetic costs. The spawning migrations of 74 twaite shad Alosa fallax were tracked at two head-of-tide weirs on a bifurcated channel in the River Severn’s upper estuary, western England, to test how barriers in tidal areas can affect river entry and incur migration delays. Although the weirs had a combined passage efficiency of 98.9%, median passage time was 19.8 h, …

An Ensemble Approach For Detection Of Malicious Urls Using Som And Tabu Search Optimization, Simar Preet Singh, Abhilash Maroju, Mohammad Kamrul Hasan, Karan Tejpal

Polytechnic Journal

Abstract: The fast spread of malicious URLs is a significant risk to online safety, since it makes assaults like spam, phishing, virus distribution, and vandalism of websites easier to carry out. The dynamic nature of these threats makes traditional detection techniques unable to keep up. Enhanced methods that can handle large-scale datasets and identify new attack patterns are needed for the real-time identification of malicious URLs. This research presents a strong hybrid machine learning approach that combines accurate classification with effective feature extraction. For feature extraction, we provide a Self-Organizing Map based Radial Movement Optimization (SOM-RMO); for classification, we …

Computational And Imaging Approaches For Precision Characterization Of Bone, Cartilage, And Synovial Biomolecules., Rahul Kumar, Kyle Sporn, Vibhav Prabhakar, Ahab Alnemri, Akshay Khanna, Phani Paladugu, Chirag Gowda, Louis Clarkson, Nasif Zaman, Alireza Tavakkoli

Department of Medicine Faculty Papers

Abstract

Background/Objectives: Degenerative joint diseases (DJDs) involve intricate molecular disruptions within bone, cartilage, and synovial tissues, often preceding overt radiographic changes. These tissues exhibit complex biomolecular architectures and their degeneration leads to microstructural disorganization and inflammation that are challenging to detect with conventional imaging techniques. This review aims to synthesize recent advances in imaging, computational modeling, and sequencing technologies that enable high-resolution, non-invasive characterization of joint tissue health. Methods: We examined advanced modalities including high-resolution MRI (e.g., T1ρ, sodium MRI), quantitative and dual-energy CT (qCT, DECT), and ultrasound elastography, integrating them with radiomics, deep learning, and multi-scale modeling approaches. We …

Hemp Cultivation Under Off-Season High Tunnel Growth Chamber Environments In South Louisiana, Gabriel Lococo

LSU Master's Theses

Industrial hemp (Cannabis sativa) production in Louisiana began in 2020 with 932 acres cultivated for fiber and cannabidiol (CBD) extraction. By 2024, production had declined to just 58.4 acres (Louisiana Department of Agriculture and Forestry, personal communication). During the 2020–2021 season, over 40% of field-grown hemp was lost due to tropical storms, insect pressure, and diseases associated with warm, wet conditions. To mitigate these challenges, hemp was planted and harvested between November and January, a cooler period with reduced environmental stress.

‘Sour Citron’, a day-neutral cultivar, was selected for its insensitivity to photoperiod, enabling flowering during shorter days. …

The Interactive Effects Of Stereotype Activation And Minority Group Belonging On Identity Mobilization Tactics, Career Identity, And Leader Identity For Black Women In The Workplace, Corai E. Jackson

LSU Doctoral Dissertations

The purpose of this study was to understand when and how Black women can achieve positive identity outcomes in the workplace when they experience stereotype activation. Despite Black women's increasing presence in the workforce, they continue to face unique challenges at the intersection of race and gender, including negative stereotypes that undermine their credibility and limit career advancement opportunities. This research explored how Black women's sense of belongingness to their minority group influences their use of identity mobilization tactics when stereotypes are activated, and how these factors collectively influence their career and leader identities.

Using a 2 × 2 between-groups …

Distinct Systemic Impacts Of Aβ42 And Tau Revealed By Whole-Organism Snrna-Seq, Ye-Jin Park, Tzu-Chiao Lu, Tyler Jackson, Lindsey D Goodman, Lindsey Ran, Jiaye Chen, Chung-Yi Liang, Erin Harrison, Christina Ko, Xi Chen, Baiping Wang, Ao-Lin Hsu, Elizabeth Ochoa, Kevin F Bieniek, Shinya Yamamoto, Yi Zhu, Hui Zheng, Yanyan Qi, Hugo J Bellen, Hongjie Li

Faculty, Staff and Students Publications

Both neuronal and peripheral tissues become disrupted in Alzheimer's disease (AD). However, a comprehensive understanding of how AD impacts different tissues across the whole organism is lacking. Using Drosophila, we generated an AD Fly Cell Atlas (AD-FCA) based on whole-organism single-nucleus transcriptomes of 219 cell types from flies expressing AD-associated proteins, either human amyloid-β 42 peptide (Aβ42) or Tau, in neurons. We found that Aβ42 primarily affects the nervous system, including sensory neurons, while Tau induces accelerated aging in peripheral tissues. We identified a neuronal cluster enriched in Aβ42 flies, which has high lactate dehydrogenase (LDH) expression. This LDH-high cluster …

Inferring Chromosome Segregation Error Stage And Crossover In Trisomic Disorders With Application To Down Syndrome, Zhenhua Li, Wenjian Yang, Gang Wu, Ti-Cheng Chang, Zhongshan Cheng, Meenakshi Devidas, Mary Shago, Andrew J Carroll, Nyla A Heerema, Julie M Gastier-Foster, Brent L Wood, Lauren Sanclemente, Elizabeth A Raetz, Stephen P Hunger, Mignon L Loh, Eleanor Feingold, Tracie C Rosser, Emily G Allen, Stephanie L Sherman, Karen R Rabin, Philip J Lupo, Jun J Yang

Faculty, Staff and Students Publications

Errors in chromosome segregation during gametogenesis, such as nondisjunction (NDJ) errors, have severe consequences in human reproduction, and a better understanding of their etiology is of fundamental interest in genetics. Mapping NDJ errors to meiotic/mitotic stages typically requires proband-parent comparison, limiting its applicability. Herein, we develop Mis-segregation Error Identification through Hidden Markov Models (MeiHMM), a method for inferring NDJ error stage and crossover events based on only genomic data of trisomic probands. Guided by triallelic genotype/haplotype configurations, MeiHMM discerns the allelic origin at each locus, which informs NDJ error during gamete formation, without identifying the parental origin of the trisomy. …

Callison College Promotional Book: Japan, Callison College

Callison College and School of International Studies

No abstract provided.

Callison College Promotional Book: Bangalore, Callison College

Callison College and School of International Studies

No abstract provided.

America, China, Japan: A Fresh Perspective, Callison College

Callison College and School of International Studies

No abstract provided.

Integrating Digital Escape Room Design Into Teacher Education: Cultivating Instructional Creativity In Preservice Teachers, Gina L. Solano, Wen Wen

Excelsior: Leadership in Teaching and Learning

This action research documents how a teacher education program incorporates game-based learning to engage pre-service teachers (PSTs) in developing their instructional creativity. In this project, game-based learning goes beyond playing games; Instead, it allows PSTs to design their own game-a digital escape room created using a website with embedded clues, digital locks, and online challenges. This paper showcases an impressive level of creativity through the variety and complexity of PSTs’ clues, the creative graphics and layout of their websites, and their cleverly written scenarios and context for the game. Moreover, PSTs reflect on their design processes, considering the affordances and …

Tips For Inclusive Postsecondary Education Programs On College Campuses: Peer Mentors’ Perspectives On Access And Inclusion, Laura N. Sarchet, Kristen Love, Martha Mock

Excelsior: Leadership in Teaching and Learning

As inclusive postsecondary education programs have grown and improved towards more campus access for college students labeled with an intellectual disability, peer mentoring is a common model for such programs. Peer mentors from one private institution were asked to describe their experiences and perspectives of campus inclusion after participating in a training program designed to increase their understanding of disability within a social justice lens. Mentors shared the personal and professional benefits of mentoring, for both themselves and for students labeled with an intellectual disability, and noted recommendations for how programs can increase access to college in order to improve …

Body Language In Social Interactions: Patterns Of Nonverbal Behavior, Caleb Roten, Ivelina Naydenova

Journal of Counseling and Psychology

A two-part study was conducted on the qualitative and quantitative aspects of nonverbal behavior to investigate the factors that influence physical movement. The qualitative aspects of nonverbal behavior were investigated by testing the effects of academic anxiety on the amount of body language mirroring produced by a population of collegiate honors students. The honors students were induced with varying levels of academic anxiety based on groups, and were recorded to determine the quality of their movements in relation to stress level. To test the quantitative aspects, a broad range of participants was collected and assessed on their demographic variables, emotional …

Exploring And Improving Initialization For Deep Graph Neural Networks: A Signal Propagation Perspective

Defensive Publications Series

Graph Neural Networks (GNNs) often suffer from performance degradation as the network depth increases. This paper addresses this issue by introducing initialization methods that enhance signal propagation (SP) within GNNs. We propose three key metrics for effective SP in GNNs: forward propagation, backward propagation, and graph embedding variation (GEV). While the first two metrics derive from classical SP theory, the third is specifically designed for GNNs. We theoretically demonstrate that a broad range of commonly used initialization methods for GNNs, which exhibit performance degradation with increasing depth, fail to control these three metrics simultaneously. To deal with this limitation, a …

Llm-Based Navigation Guidance Revisions Based On Conversational Context, Florian Hartmann, Matthew Sharifi

Defensive Publications Series

When a vehicle has multiple occupants engaged in a conversation, audio instructions from a digital map/ navigation application can be disruptive and/or unnecessary. This disclosure describes techniques, implemented with specific user permission to access and analyze data related to the presence of multiple users in a vehicle and the conversational context. With user permission, the ongoing conversation in the vehicle is analyzed locally using a large language model and the analysis is used to enhance the audio delivery of dynamic navigational guidance. A transcript of the conversation related to the ongoing drive is provided to an LLM along with a …

Alphafold Database Debiasing For Robust Inverse Folding

Defensive Publications Series

The AlphaFold Protein Structure Database (AFDB) offers unparalleled structural coverage at near-experimental accuracy, positioning it as a valuable resource for data-driven protein design. However, its direct use in training deep models that are sensitive to fine-grained atomic geometry—such as inverse folding—exposes a critical limitation. Comparative analysis of structural feature distributions reveals that AFDB structures exhibit distinct statistical regularities, reflecting a systematic geometric bias that deviates from the conformational diversity found in experimentally determined structures from the Protein Data Bank (PDB). While AFDB structures are cleaner and more idealized, PDB structures capture the intrinsic variability and physical realism essential for generalization …

Contextual Explanation Of Local Differences On Digital Map User Interface, Florian Hartmann, Matthew Sharifi

Defensive Publications Series

Different regions of the world have different regulations, e.g., related to driving, parking, etc. as well as different social norms, e.g., tipping, acceptable use of a mobile device on public transport, etc. Such differences can trip up travelers when they are in unfamiliar locations. This disclosure describes techniques to automatically determine via offline processing by a large language model (LLM). The differences are stored in a database and are used to surface proactive contextual alerts to users at appropriate times by explaining relevant differences between rules or norms at their current location and their typical location. The LLM can be …

Implicit Graph Neural Networks With Flexible Propagation Operators

Defensive Publications Series

Due to the capability to capture high-order information of nodes and reduce memory consumption, implicit graph neural networks have become an explored hotspot in recent years. However, these implicit graph neural networks are limited by the static topology, which makes it difficult to handle heterophilic graph-structured data. Furthermore, the existing methods inspired by optimization objectives are limited by the explicit structure of graph neural networks, which makes it difficult to set an appropriate number of network layers to solve optimization problems. To address these issues, we propose an implicit graph neural network with flexible propagation operators in this paper. From …

Tax Clinic, William T. Diss

Tax Adviser

No abstract provided.