Digital Commons Network^™

Facilitators And Barriers To Alarm Management In Icu: A Qualitative Systematic Review Using Cfir, Jiayi Wang, Yitong Mao, Zhiting Guo, Yuping Zhang, Jingfen Jin

International Nursing Research Congress (INRC)

A literature search of four English-language databases (PubMed, Web of Science, Embase, the Cochrane Library) and three Chinese-language databases (China National Knowledge Infrastructure, Wan Fang, VIP Database). Studies from inception to October 1 2025 published in English or Chinese using qualitative or mixed methods to explore alarm management practices in intensive care units were included. Based on the Consolidated Framework for Implementation Research (CFIR) 1, data were synthesized by classifying influencing factors into the five domains and 48 constructs. Key domains and factors were identified through frequency analysis across and within domains. The Joanna Briggs Institute Qualitative Assessment was used …

In The Problem Lies The Solution: How Digital Mindfulness Can Address The College Students’ Mental Health Crisis And Support Holistic Education, Steve Haberlin

Journal of Contemplative and Holistic Education

The mental health of today’s college students remains a serious concern. The alarming trend of greater psychological distress among undergraduates shows no signs of slowing. Excessive smartphone usage, screen time, and social media have been attributed as partial factors. However, what if forms of digital mindfulness and technology-assisted contemplative practices are the key to assisting students with stress, anxiety, depression and other problems? In this article, the author posits that innovations, such as neurofeedback-loop meditation platforms that dramatically increase focus, virtual reality platforms featuring in depth-meditation instruction, and Artificial Intelligence have the potential to address the crisis, establishing a refreshed …

Ancient Wisdom & Its Cultural Relevance: Reimagining Deeper Learning In Science Classrooms Through The Lens Of Yoga And Vedānta, Raaghav Pandya

Journal of Contemplative and Holistic Education

Contemporary calls to reconceptualize how science is taught and understood have brought deeper learning to the forefront of education at-large for its emphasis on critical perspectives, creativity, and student-centered inquiry. Yet this paper argues that its prevailing framework remains constrained by Cartesian dualism, a materialist foundation that disassociates the individual from self, other, and nature, and falls short of addressing the mental health, environmental, and cultural challenges facing youth today. To address this limitation, this paper proposes a complementary convergence between deeper learning and the contemplative traditions of Yoga and Vedānta, whose ancient paradigms of self-inquiry, interconnectedness, and well-being offer …

Toward A Post-Modern Daoist Pedagogy: Bridging Complexity And Dao Through Inner Cultivation And Autopoietic Currere, Jie Yu, Jingyu Liu

Journal of Contemplative and Holistic Education

This article first critically examines the call to reenchant the world as it resonates within a middle space between science and mysticism and then connects key ideas from complexity theory and systems thinking on complex adaptive systems with two seminal Daoist texts: the Neiye (《內業》, Inner Cultivation), a proto-Daoist chapter from the Guanzi anthology (4th–3rd century B.C.E.), and the Huangting Jing (《黃庭經》, Yellow Court Scripture), a later Daoist classic (3rd–4th century C.E.). Through this dialogue, the article advocates a post-modern Daoist pedagogy through inner cultivation and autopoietic currere—an autopoietic process wherein curriculum emerges organically through participatory dialogue …

Notification String Optimization Using Reinforcement Learning And Llms, Sumit Kumar Jha, Ishan Gambhir, Shubham Kumawat

Defensive Publications Series

Current approaches to avoid the drop in engagement with notifications have a high overhead, are slow to roll out, and lack content personalization. This disclosure describes techniques, implemented with user permission, to automatically select and manage content for push notifications with an automated closed-loop self-healing personalized architecture. The approach can be implemented with a Contextual Multi-Armed Bandit (CMAB) Reinforcement Learning (RL) model with reward signals configured to trigger a Large Language Model (LLM) to generate, validate, and inject fresh personalized notification strings in the content pool. The pipeline to generate structured content to replace previously pushed notification content can be …

To Doubt Or Not To Doubt? Religious Development For Spirit-Empowered Christians, Andrea C. Walker, Ricky T. Munoz, Andrew S.I.D. Lang

Salubritas: International Journal of Spirit-Empowered Counseling

No abstract provided.

Front Matter, Editors Salubritas

Salubritas: International Journal of Spirit-Empowered Counseling

No abstract provided.

Full Issue Salubritas 5 (2026), Editors Salubritas

Salubritas: International Journal of Spirit-Empowered Counseling

No abstract provided.

Beyond Boundaries: Unlocking Positive Social Change Through Shared Expertise, Sigifredo Castell Britton

Journal of Social Work in the Global Community

Societal progress thrives through the dynamic interplay of diverse disciplines, each contributing unique insights to advance positive change. Interdisciplinary collaboration plays a crucial role in addressing complex social challenges by combining the strengths of various fields. This article explores the historical evolution, theoretical foundations, and practical applications of interdisciplinary collaboration to foster positive social change. The discussion provides definitions of key terms, such as societal progress and positive social change, within distinct ideological and contextual frameworks. It makes use of these to clarify the direction of positive change in different societal settings. Historical and contemporary examples, such as Bolivia’s social …

Dynamic Flood Risk Assessment For Transportation Infrastructure In Fresno, Ca, Yushin Ahn, Fayzul Pasha

Mineta Transportation Institute

Urban roadway flooding in flat metropolitan environments often shows up as small areas of standing water rather than large, flowing floods. In low-gradient urban environments, subtle micro-topographic features—such as pavement crowns, curbs, and localized depressions—often control where surface water accumulates following rainfall. Accurately identifying these localized ponding areas is important for roadway flood screening and infrastructure management. This study develops a LiDAR-based depression mapping framework to identify roadway segments susceptible to surface ponding in flat urban environments. High-resolution airborne LiDAR datasets were used to generate detailed elevation maps (down to less than a foot in resolution) from ground-classified point clouds …

Tuning Bond Exchange Rate To Control Long-Time Mobility And Creep In Vitrimer-Like Networks, Fardin Khabaz, Michel Cloitre, Kevin Barz, Patrick Cuddihy

University Research

Vitrimers relax stress through a combination of polymer mobility and associative bond exchange, but connecting exchange kinetics to microscopic dynamics and macroscopic rheology remains challenging. Many simulation schemes do not allow independent control of the exchange rate. Here we utilize a molecular dynamics–Monte Carlo simulation technique for associative networks in which the exchange attempt interval is an explicit, independently tunable control parameter, enabling systematic scans of exchange kinetics at fixed network architecture and interactions. Using mean-squared displacement and creep compliance as indicators of the microscopic dynamics and macroscopic rheology, we show that slowing the bond exchange rate delays the onset …

Biki: Design Overhaul, Meg Rawson

Computer Science and Engineering Senior Theses

For children from bilingual households, kindergarten can represent both an introduction to formal mathematics education and a period of increased exposure to the English language. Students may therefore be learning foundational mathematical concepts while simultaneously developing the English vocabulary used to describe those concepts. BiKi (Bilingual Math for Kindergartners) was developed to help bridge this gap through an educational application that combines visual, auditory, and interactive learning activities to reinforce mathematical vocabulary in both English and a student’s home language.

This work builds upon the existing BiKi application while maintaining its original educational goals and intended audience. The primary focus …

Karst Hydrogeologic Framework And Factors Contributing To Flooding In Burgin, Kentucky, Charles Taylor, Junfeng Zhu, Matthew Carmichael, Hudson J. Koch

KGS Publications and Maps

This report examines the karst hydrogeologic setting and drainage characteristics that are thought to contribute to frequent severe flooding in the city of Burgin in Mercer County, Kentucky. Burgin is located at the eastern end of an approximately 4.5 mi² mapped karst groundwater basin in the Ordovician limestone aquifer system in the Inner Bluegrass karst region. Flooding occurs within a streamless 1.4 mi² dry karst valley where almost all channelized surface runoff has been captured by sinkholes and sinking stream segments and diverted underground by con­duit piracy. The only natural outlet for water exiting from the karst valley and larger …

Enterococcus Abundance, Distribution, And Environmental Controls At A Sandy Shoreline, South Carolina, Usa, Helen Kehoe

Electronic Theses and Dissertations

Water quality monitoring crucially protects the health of beachgoers around the world. However, water-adjacent sediments, such as sandy beaches, are known to harbor harmful bacteria, yet are not monitored despite their intensive recreational use. This project monitored the abundance of fecal indicator bacteria (FIB), specifically Enterococci, in sandy beach sediments at beaches routinely monitored for water quality in Myrtle Beach and North Myrtle Beach, South Carolina. Surface sediment core sampling (0-5 cm) in the swash zone was conducted once per month for 4 months at 24 beaches in tandem with state-accredited surf-water FIB monitoring using IDEXX’s Enterolert test (Standard Method …

Can Ai Pass The Us Army War College?, Kevin M. Boyce, John A. Nagl, Kristan J. Wheaton

The US Army War College Quarterly: Parameters

The US Army War College oral comprehensive examination serves as the institution’s capstone, measuring its senior officers’ strategic thinking. In early 2026, three faculty panels applied that standard to four leading commercial artificial intelligence (AI) systems: ChatGPT, Gemini, Claude, and Grok. Prompted without core curriculum materials, all four models passed. Unlike static benchmarks, the examination’s impromptu dialogue format revealed meaningful performance differences that were invisible in general-purpose evaluations, with one model performing at a statistically significant advantage. These findings challenge how the Department of War assesses commercial AI for strategic applications and point toward domain-specific, dialogue-based benchmarking as a more …

Semantic-Guided Diffusion Autoencoder For Medical Image Synthesis And Representation Learning, Neda Yousefi, Abbas Koochari, Azadeh Zamanifar

Makara Journal of Technology

The development of robust machine learning models for medical diagnostics is constrained by the scarcity of large, annotated imaging datasets, a challenge rooted in high acquisition costs and stringent privacy regulations. To address this, generative approaches for data synthesis have emerged as an essential tool, and this study explores the use of diffusion models to generate medical images. This study introduces a novel Diffusion Autoencoder Model (DAM) integrated with a semantic encoder framework to generate interpretable and decodable image representations. Our DAM learns disentangled latent features via its encoder, which then conditions a diffusion probabilistic model acting as the decoder, …

Transforming The Us Army Reserve For Protracted War, Joshua Yarbrough

The US Army War College Quarterly: Parameters

This article argues the US Army Reserve must be transformed from an operational to an adaptive reserve to meet the demands of protracted, high-intensity warfare. The author’s analysis focuses on how the Army Reserve’s current structure lacks the strategic depth, mobilization capacity, and training to sustain long-term conflict. Drawing on historical cases, contemporary conflicts, and official documents, this article blends strategic analysis with policy recommendations, offering practitioners actionable reforms relevant to the Army Transformation Initiative and future Joint Force readiness in large-scale combat operations.

Book Reviews, Usawc Press

The US Army War College Quarterly: Parameters

No abstract provided.

Constraint Breeds Lethality: Three Models Of Military Ai Adoption, Branko Ruzic

The US Army War College Quarterly: Parameters

This article argues that the United States faces an institutional, not technological, adaptation gap in military artificial intelligence (AI). Constraints drive adversaries toward optimization choices that generate greater operational lethality than abundance-driven Western procurement allows. Departing from algorithmic or budget-centric commentary, it compares three procurement architectures (compliance-optimized, battlefield-validated, and systematically extractive) and treats Ukraine as a distinct wartime adoption system rather than a fourth model. Using Russian ZALA Lancet loitering munition strike data, Chinese-language doctrine on dissipative warfare, and US and NATO acquisition documentation, the analysis offers acquisition executives and combatant commanders five reforms achievable within existing authorities.

Parameters Autumn 2026, Usawc Press

The US Army War College Quarterly: Parameters

No abstract provided.

Getting There First: Strategic Competition Requires A Proactive Mindset, Antulio J. Echevarria Ii

The US Army War College Quarterly: Parameters

This Strategic Competition Corner analyzes a recent war game dealing with strategic competition in Africa over critical minerals. It argues US military and policy practitioners need to think more about ways to leverage crises to America’s advantage and to its competitors’ disadvantage.

New Faculty Guide, 2026, University Of Mississippi. Provost

New Faculty

No abstract provided.

Asymmetric Janus Monolithic Biocomposites Via Silica Stratification In Cellulose Diacetate Films For Enhanced Adsorption, Efraín Mauricio Santos Rebolledo, César Alejandro Ortiz Martinez, Santiago Emilio Calvo Betancur, Dariana Geraldine Erazo Rondon, David Felipe Ordoñez Obando, Astrid Lorena Giraldo Betancur, Daniel Fernando Hincapie Rojas, César Leandro Londono Calderón

Artículos científicos

This study presents a waste-to-interface strategy for engineering high-performance Janus monolithic adsorbents through a circular biorefinery pathway utilizing coffee and rice residues. We demonstrate that a critical loading of 20 wt% biogenic submicron silica into a coffee-derived cellulose diacetate matrix triggers a definitive gravityinduced stratification, transforming a traditional isotropic film into a sophisticated asymmetric architecture. This Janus transition yields a superhydrophilic interface (contact angle < 5◦) and significantly enhances surface porosity, effectively bypassing the diffusion barriers that typically limit homogeneous biocomposites. Methylene Blue adsorption trials reveal that this 20 wt% threshold achieves rapid adsorption kinetics (p < 0.05) by maximizing active-site accessibility. In contrast to conventional powder adsorbents, these monolithic films enable zero-energy manual recovery, entirely eliminating the need for energy-intensive post-treatment separation. By bridging the gap between multi-feedstock valorization and anisotropic materials science, this work provides a scalable blueprint for sustainable, high-flux water remediation

Microwave-Assisted Synthesis Of Core-Shell Structured Pd@Pdptcufe Recessed Truncated Octahedral Nanocrystals For Multifunctional Electrocatalysis, De-Zhong Hu, Wen-Dan Jiang, Wei Keat Ng, Jun Yang, Xiong-Wu Kang

Journal of Electrochemistry

Developing cost-efficient and durable multifunctional electrocatalysts of hydrogen evolution reaction, oxygen reduction reaction and oxygen evolution reaction is crucial for improving energy conversion efficiency in electrolytic water splitting electrolyzer and advancing rechargeable zinc-air batteries. Polyhedral shaped nanocrystals with well-defined crystal facets represent a type of model catalysts that enables the exploration of structure-activity relationships. However, it is still very challenging to prepare alloy nanocrystals with multiple metal components due to their complicated redox potentials and mixing enthalpy. Herein, we report a rapid microwave-assisted polyol reduction method for syntheses of core-shell Pd@PdPtCu, Pd@PdPtCuNi, Pd@PdPtCuCo and Pd@PdPtCuZn octahedral nanocrystals, and recessed truncated-octahedral …

Neural Network Driven By Electrochemical Performance Data For Predicting The Discharge Termination Time Of Seawater Electrolyte-Based Metal-Air Batteries, Peng-Peng Shen, Yi-Chi Pan, Yu-Rong Liu, Lu-Dan Zhang, Ning Niu, Guan-Jun Wang, De-Kun Yang, Xin-Long Tian, Peng Rao

Journal of Electrochemistry

Seawater electrolyte-based metal-air batteries exhibit great promise for marine energy supply systems. However, conventional statistical analysis methods, though applicable to seawater metal-air battery lifetime prediction, have inherent limitations of insufficient prediction accuracy and large error. Herein, a deep time-series regression framework based on InceptionTime and incorporating prior-biased attention pooling is proposed to construct a nonlinear mapping between electrochemical performance sequences and the discharge termination time of catalysts. Specifically, chronoamperometric profiles are employed to extract long-term stability features, while prior knowledge derived from linear sweep voltammetry is introduced to strengthen the attention weighting over critical potential regions. Under a nested leave-one-catalyst-out …

In Situ Electrochemical Characterization Techniques For Active Hydrogen In Electrocatalytic Nitrate Reduction To Ammonia, Hong-Mei Li, Mei Yi, Zhao-Yu Jin, Ming-Hao Xie, Khalid M. Omer, Yong Guo, Pan-Pan Li

Journal of Electrochemistry

Electrocatalytic nitrate reduction to ammonia (NitRR) represents a sustainable pathway that integrates environmental remediation with the production of high-value ammonia. However, the activity and selectivity of this process are limited by the generation, consumption, and dynamic equilibrium of the key transient intermediate—active hydrogen (*H). Precise modulation of *H necessitates a comprehensive understanding of its behavior, which relies fundamentally on advanced in situ electrochemical characterization techniques. However, a systematic review dedicated to the rational selection and application of in situ electrochemical techniques for the specific characterization of *H in NitRR, with clear definitions of each technique's "detectable targets, quantitative accuracy, and …

Re: Conditional Approval Letter For The Draft Final Butte Mine Waste Repository Operations And Maintenance (O&M) Plan (Dated August 3, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Personal Experiences With Remarkable Outcomes Of Stage 4 Cancer: A Phenomenological Study, Gail Firman Porter

Walden Dissertations and Doctoral Studies

Prayer as a source of improved physical outcomes for individuals with medically diagnosed Stage 4 cancer has not been thoroughly addressed in recent academic literature, despite an increase in individual reporting within nonacademic sources.. The purpose of this phenomenological study was to explore the lived experiences of individuals in the United States who experienced remarkable healing from Stage 4 cancer after receiving Christian prayer for healing. Using the biopsychosocial-spiritual model as the conceptual framework, this study investigated the lived experiences of participants regarding their decision to seek prayer to heal their Stage 4 cancer, and its subsequent effects on their …

Investigation Of Bridge Foundation Depth Using Geoelectrical Dipole Configuration, Devi Oktaviana Latif, Amalia Ula Hazhiyah, Adhitya Yoga Purnama, Ika Rahmawati Suyanto, Surya Dewi Puspitasari, Heru Budi Utomo

Makara Journal of Technology

Bridges are constructed to facilitate the crossing of pedestrians, vehicles, or trains and are essential components of land transportation infrastructure, which is crucial for ensuring the smooth flow of traffic. As part of the reconstruction project for the south side of the Muja Muju Bridge on Jalan Kusumanegara, the Yogyakarta City Government rebuilt this section of the bridge, which had become unfit for traffic use. The area features two bridges, serving as transportation routes: the Muja Muju Bridge on the north side and the newly reconstructed bridge on the south side. The demolition of the south side of the Muja …

Early Detection Of Alzheimer’S Disease Using Federated Learning Based On Personalized Gans: A Data-Driven Approach, Iffat Fatima, Uzair Iqbal, Uzair Ishtiaq, Muhammad Burhan Ul Islam Khan

Makara Journal of Technology

Alzheimer’s disease (AD) is a complicated neurodegenerative disease marked by the slow worsening of memory and cognitive functions. Early detection is a key to effective disease management, but the creation of reliable machine learning models is not an easy task because medical data are limited, and there are strict privacy requirements, such as GDPR and HIPAA, that inhibit the creation of central databases. In this paper, a new privacy-saving model that combines personalized federated learning (PFL) with generative adversarial networks (GANs) is proposed to diagnose Alzheimer’s disease. Under the proposed method, the synthesis of data using GAN is conducted on …