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Articles 17071 - 17100 of 1326677
Full-Text Articles in Entire DC Network
“Let Sleeping Dogs Lie”—The Impact Of Naval Air Warfare During The Spanish Civil War On The Royal Navy, 1936–1939, Néstor Cerdá
“Let Sleeping Dogs Lie”—The Impact Of Naval Air Warfare During The Spanish Civil War On The Royal Navy, 1936–1939, Néstor Cerdá
Naval War College Review
The landscape of modern warfare is one of constant metamorphosis caused by a variety of factors, from technological advancement to shifting combat terrains. The Royal Navy’s experience with German airpower while enforcing nonintervention during the Spanish Civil War set uneven expectations for the role of naval airpower in the war to come.
Research & Debate—Operation Sledgehammer Reconsidered: Disaster Averted Or Opportunity Lost?, Gary Giumarra
Research & Debate—Operation Sledgehammer Reconsidered: Disaster Averted Or Opportunity Lost?, Gary Giumarra
Naval War College Review
No abstract provided.
Shipwrecked—The Burlingame Policy And U.S. Strategy In China, 1867–1871, Eric Anderson
Shipwrecked—The Burlingame Policy And U.S. Strategy In China, 1867–1871, Eric Anderson
Naval War College Review
As contemporary tensions in spaces such as Taiwan and Korea mount, U.S. military leaders and policy makers may wish to revisit the legacy of Anson Burlingame and reconsider the roots of U.S. punitive interventions in China and Korea in the nineteenth century.
People’S Republic Of China Stratagems And Surprise Attacks—Implications For The Defense Of Taiwan, Ian Easton
People’S Republic Of China Stratagems And Surprise Attacks—Implications For The Defense Of Taiwan, Ian Easton
Naval War College Review
As the People’s Republic of China continues to amass military forces across the strait from Taiwan, Chinese military doctrine holds the keys to preparing for potential conflict. Elements of surprise and deception, akin to those used by Russia during the invasion of Ukraine, may drive strategy and preparation for a potential invasion of Taiwan.
Bridging The Gap: Early Childhood Reading Instruction Grounded In The Science Of Reading, Delilah A. Davis Gonzales, Ingrid Haynes Ph.D.
Bridging The Gap: Early Childhood Reading Instruction Grounded In The Science Of Reading, Delilah A. Davis Gonzales, Ingrid Haynes Ph.D.
Journal of Curriculum, Teaching, Learning and Leadership in Education
The Science of Reading (SoR) has become central to literacy research and practice, yet many early childhood classrooms struggle to integrate its principles in developmentally appropriate ways. Recent advances in cognitive science, culturally relevant pedagogy, and digital literacy highlight the need for instructional approaches that bridge research and practice. This manuscript examines how the five core components of reading—phonemic awareness, phonics, vocabulary, comprehension, and fluency—can be meaningfully implemented in early childhood education through structured literacy practices that remain play-based and culturally sustaining. A qualitative, illustrative approach is used, drawing from classroom-based case examples, professional observations, and current research. These examples …
A Hybrid Physics-Constrained Dnn Framework For Long-Term Cumulative Oil Production Forecasting, Mohamed H. Mohamed, Ghazwan N S Jreou
A Hybrid Physics-Constrained Dnn Framework For Long-Term Cumulative Oil Production Forecasting, Mohamed H. Mohamed, Ghazwan N S Jreou
Engineering and Technology Journal
Accurate long-term forecasting of cumulative oil production (Np) is critical for effective reservoir management, reserve estimation, and field development planning. However, existing decline curve analysis (DCA) techniques have limited extrapolation capability, while data-driven artificial intelligence (AI) models tend to produce physically unreasonable cumulative production profiles when extrapolated beyond the data range. Specifically, conventional AI-based forecasting models may display unreasonable long-term forecasting characteristics because of their inability to leverage basic knowledge of reservoir physics. This paper presents a new physics-constrained deep learning model to improve long-term cumulative oil production forecasting and overcome the existing limitations and challenges. The proposed model combines …
Knowledge-Management Collaboration And Labor Brokerage Performance: A Multilevel Study Of Entrepreneurial Market Making, James Downing
Knowledge-Management Collaboration And Labor Brokerage Performance: A Multilevel Study Of Entrepreneurial Market Making, James Downing
Economic and Business Review
Entrepreneurs operating in knowledge-intensive markets will seek to reduce costs with tacit-knowledge-management mechanisms. When seeking a competitive advantage in knowledge-intensive industries, individuals will create value from general market information and engineer the transaction cost for clients. These market-making individuals will operate within a firm to gain benefits from information-sharing collaboration. Firms will make investments in tacit-information sharing to assist individual collaboration, resulting in increased firm performance. The value creation process for knowledge-intensive markets is crafted from general market information. The value appropriation process is unique to knowledge-intensive industries with the engineering of a client’s transaction costs as a competitive advantage. …
Predictive Remediation By Analyzing Influence-Radius Across Generative Workspace Boards, Vishal S Desai, Robert Barton
Predictive Remediation By Analyzing Influence-Radius Across Generative Workspace Boards, Vishal S Desai, Robert Barton
Defensive Publications Series
Existing network troubleshooting tools typically remediate network issues in a reactive and localized manner, thus generating solutions that lack awareness of other active or historical sessions across the same network. As a result, multiple users often investigate identical or derivative problems, which leads to inefficient use of operational and computational resources. To address these challenges, the techniques presented herein implement an artificial intelligence (AI)-driven network troubleshooting system configured to perform context correlation, influence-radius detection, and automatic context-aware predictive remediation with proactive user notifications.
Joseph Bova, Jr. V. Ray Sajone
Joseph Bova, Jr. V. Ray Sajone
2026 Decisions
USDC for the Middle District of Pennsylvania
Jose Mendez V. Superintendent Houtzdale Sci
Jose Mendez V. Superintendent Houtzdale Sci
2026 Decisions
USDC for the Eastern District of Pennsylvania
Spectator 2026-03-05, Editors Of The Spectator
The Indiana Statesman, March 5, 2026, Indiana State University
The Indiana Statesman, March 5, 2026, Indiana State University
Student Newspaper
Winners: Olivia & Campbell for S.G.A. Pres & V.P.; Wear-Wolves takes first place in Indiana State Business Pitch Competition; Help Residential Life celebrate university faculty!
Main-Chain Ion-Pair Polybenzimidazole Membranes Enabling Reduced-Temperature Ht-Pemfc Operation (Down To 120°C), Huina Lin, Brian C. Benicewicz
Main-Chain Ion-Pair Polybenzimidazole Membranes Enabling Reduced-Temperature Ht-Pemfc Operation (Down To 120°C), Huina Lin, Brian C. Benicewicz
Faculty Publications
Proton exchange membrane (PEM) fuel cells are promising for clean and efficient energy conversion across diverse applications. High-temperature PEM fuel cells (HT-PEMFCs) using phosphoric acid (PA)-doped polybenzimidazole (PBI) can operate up to 200°C, but at lower temperatures, water-induced PA loss often leads to performance degradation and reduced durability. In this work, we present a new class of main-chain ion-pair PBI membranes by integrating the imidazolium-biphosphate ion-pair units directly into the PBI backbone. This design results in membranes with high acid content, stronger acid-polymer interactions and stabilized acid retention. In single-cell tests, the Im+-PBI15-3 wt.% exhibits peak power densities …
Pacific Rxtracts - March 2026, Pacific Rxtracts
Pacific Rxtracts - March 2026, Pacific Rxtracts
Pacific RxTracts
Articles:
- FDA Approves Zycubo as First Treatment for Menkes Disease
- A Step Toward New Lung Treatment - FDA Expands Nerandomilast Approval
- Olezarsen for Severe Hypertriglyceridemia and Pancreatitis Prevention
- Increasing Accessibility of Treatment for Hepatitis C Through Telemedicine
- Efficacy of a Shortened Romosozumab Therapy followed by Denosumab in Postmenopausal Osteoporosis
- Renal Outcomes of SGLT2 Inhibitors vs. GLP-1 Receptor Agonists in T2D
- Plozasiran, A Novel Therapy for Familial Chylomicronemia Syndrome
- Incretin Agonists and Reduced CPAP Use in Obesity-Related Obstructive Sleep Apnea
- Icotrokinra: A Novel Oral Therapy for Plaque Psoriasis
- Omega-3 Fatty Acids in Pediatric Major Depressive Disorder: Limited Benefit as Adjunctive Therapy …
Syncopation In Action, Karissa Szarek
Syncopation In Action, Karissa Szarek
SPARK Symposium Presentations
No abstract provided.
Perl V. Grant: The "Quintessential Example" Of Why Courts Must Strictly Construe The Statute Of Frauds, Lauren Heggen
Perl V. Grant: The "Quintessential Example" Of Why Courts Must Strictly Construe The Statute Of Frauds, Lauren Heggen
Montana Law Review
No abstract provided.
Significant Montana Cases, Noah Durnell, Rachael Dean
Significant Montana Cases, Noah Durnell, Rachael Dean
Montana Law Review
No abstract provided.
Factors For Patient Trust And Acceptance Of Medical Artificial Intelligence, Ana Bracic, Kayte Spector-Bagdady, Sophie Towle, Rina Zhang, Cornelius A. James, Nicholson W. Price Ii
Factors For Patient Trust And Acceptance Of Medical Artificial Intelligence, Ana Bracic, Kayte Spector-Bagdady, Sophie Towle, Rina Zhang, Cornelius A. James, Nicholson W. Price Ii
Articles
Artificial intelligence (AI) is increasingly used in clinical care, but widespread adoption requires patient trust. Trust may be enhanced through systemic governance mechanisms or frontline clinicians providing a human in the loop for AI oversight. However, it is unclear how different approaches specifically influence patient trust in the use of medical AI. The objective is to determine the extent to which patient trust in and choice of medical scenarios involving AI are associated with governance mechanisms, clinician presence, performance, and data quality.
Internal Quality Enhancement: Case Of A Uae Business School, Valentine Matthews
Internal Quality Enhancement: Case Of A Uae Business School, Valentine Matthews
International Journal of Applied Management and Technology
This paper presents a case study of a quality enhancement process of a small business school in the United Arab Emirates. The research explores this specific quality enhancement process with a focus on why it is implemented by the case institution and how it achieves quality improvement. The case quality enhancement process is an internal institutional approach that deviates from the Scottish Enhancement-Led Institutional Review approach. Articulation of the process is conducted from policy and practice. The articulation provides deeper and clearer understanding of the approach to quality enhancement, how it achieves quality improvements, and the leadership’s justifications for adopting …
Book Review: Strategy And Grand Strategy, John Erickson
Book Review: Strategy And Grand Strategy, John Erickson
Parameters Bookshelf – Online Book Reviews
Author: Joshua Rovner
Reviewed by: John Erickson, senior engineer, Axiom Technologies
Joshua Rovner’s Strategy and Grand Strategy is a compelling and essential exploration of how nations succeed—or fail—when aligning military strategy with broader security goals. Through vivid historical case studies and sharp analysis, Rovner reveals how misunderstanding or ignoring the relationship between strategy (a theory of victory) and grand strategy (a theory of security) can lead to disastrous outcomes. This book is a must-read for anyone involved in national security, defense planning, or the study of statecraft in an era of technological and geopolitical complexity.
©2026 John Erickson
Anhedonia Underlies The Association Between Childhood Unpredictability And Adult Ptsd Symptoms: Evidence From Three Independent Longitudinal Cohorts, Christopher Hunt, Laura M. Glynn, Elysia Poggi Davis, Tallie Z. Baram, Caroline M. Nievergelt, Giovanni Castillo, Christian Cortes, Christine Y. Chang, Dewleen Baker, Victoria B. Risbrough
Anhedonia Underlies The Association Between Childhood Unpredictability And Adult Ptsd Symptoms: Evidence From Three Independent Longitudinal Cohorts, Christopher Hunt, Laura M. Glynn, Elysia Poggi Davis, Tallie Z. Baram, Caroline M. Nievergelt, Giovanni Castillo, Christian Cortes, Christine Y. Chang, Dewleen Baker, Victoria B. Risbrough
Psychology Faculty Articles and Research
Background
Unpredictability in the child’s environment has recently emerged as a significant and unique form of early life adversity (ELA). Cross-sectional studies have linked childhood unpredictability with increased post-traumatic stress disorder (PTSD) symptoms in adults; however, no prospective studies have tested the link between childhood unpredictability and PTSD risk in later life, nor what processes, such as increased anhedonia symptoms, might mediate such risk. Here, we leveraged three distinct prospective, longitudinal cohorts to test the hypothesis that unpredictability during childhood contributes to adult PTSD via worsening anhedonia symptoms.
Methods
Participants were male service members (n=314), adult females (n=170), and adolescents …
Privacy Preserving Anomaly Detection System For Der Solar Inverters, Tanzim Jim Hassan, Prakash Ranganathan
Privacy Preserving Anomaly Detection System For Der Solar Inverters, Tanzim Jim Hassan, Prakash Ranganathan
Graduate Research Achievement Day Posters
Reliable operation of solar inverters depends on maintaining a stable frequency. Recent cyber attacks on solar DERs are concerning and increase the likelihood of such stealthy attacks leading to anomalies in DER. Therefore, a robust anomaly detection system (ADS) is crucial for solar inverters used in distributed energy resources (DERs), enabling timely detection and correction of frequency anomalies. Additionally, preserving data privacy is essential for the security and reliability of the power grid. This paper proposes a privacy-preserving anomaly detection system (PP-ADS) based on a multi-stage hybrid machine learning (MSHML) model specifically designed for solar inverter data in DER environments. …
Computational Discovery Of Sars-Cov-2 Viral Entry Inhibitory Peptides From Androctonus Mauretanicus Scorpion Venom: Molecular Docking And Molecular Dynamics Simulations Targeting The Spike Protein, Reda Chahir, Salaheddine Redouane, Jacob Galan, Hicham Hboub, Lahoussaine Aserrar, Salma Chakir, Ahmed Salim Lahlou, Hinde Aassila, Rachid El Fatimy, Naoual Oukkache
Computational Discovery Of Sars-Cov-2 Viral Entry Inhibitory Peptides From Androctonus Mauretanicus Scorpion Venom: Molecular Docking And Molecular Dynamics Simulations Targeting The Spike Protein, Reda Chahir, Salaheddine Redouane, Jacob Galan, Hicham Hboub, Lahoussaine Aserrar, Salma Chakir, Ahmed Salim Lahlou, Hinde Aassila, Rachid El Fatimy, Naoual Oukkache
School of Medicine Publications
Background and Objective:
While vaccination remains central to controlling the COVID-19 pandemic, the emergence of SARS-CoV-2 variants with partial resistance to immune responses has highlighted the need for complementary therapeutic strategies. Among these, antiviral agents that inhibit viral entry mechanisms are of particular interest. Animal venoms, especially scorpion venoms, are a rich source of bioactive peptides with potential antiviral properties. This study aimed to evaluate peptides derived from the Moroccan scorpion Androctonus mauretanicus as inhibitors of SARS-CoV-2 spike glycoprotein, which mediates virus entry into host cells via ACE2 receptor binding.
Material and Methodology:
Six peptides from the venom of the …
Spartan Daily, March 5, 2026, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, March 5, 2026, San Jose State University, School Of Journalism And Mass Communications
Spartan Daily, 2026
Volume 166, Issue 19
The End Of Peremptory Strikes?: Free Exercise And Religion-Based Batson Challenges, Jeremy Ross
The End Of Peremptory Strikes?: Free Exercise And Religion-Based Batson Challenges, Jeremy Ross
Montana Law Review
No abstract provided.
Schrodinger's Stop: The Unintended Consequences Of State V. Gardner, John C. Brothers
Schrodinger's Stop: The Unintended Consequences Of State V. Gardner, John C. Brothers
Montana Law Review
No abstract provided.
State V. Rodriguez: Blurring The Standard For Burglary In Montana, Rachel Leader
State V. Rodriguez: Blurring The Standard For Burglary In Montana, Rachel Leader
Montana Law Review
No abstract provided.
Memphis Street Academy Charter School At J.P. Jone V. Philadelphia School District
Memphis Street Academy Charter School At J.P. Jone V. Philadelphia School District
2026 Decisions
USDC for the Eastern District of Pennsylvania
Interfacial Structural Entropy (Ise): A Statistical Descriptor That Links Distributed Fluid Microstructures And Interfacial Properties, Zhu Jiahua, Mu Liwen, Ji Tuo, Ye Wenkai
Interfacial Structural Entropy (Ise): A Statistical Descriptor That Links Distributed Fluid Microstructures And Interfacial Properties, Zhu Jiahua, Mu Liwen, Ji Tuo, Ye Wenkai
University Research
Fluids at the nano/microscopic interface, particularly when influenced by external fields, exhibit significant variations in microstructures, resulting in complex properties that differ markedly from those of single molecules and bulk fluids. The diversity in microstructures leads to unique interfacial transport and reaction phenomena. Notably, the microstructure is a group of molecular clusters with different configurations distributed at the interface in a balanced state, yet the governing factors that determine the cluster structure and their distribution remain to be understood. Herein, we introduce interfacial structural entropy (ISE) as a metric to capture the combined effects of solid surfaces and external fields …