Digital Commons Network^™

Effective Leadership Strategies That Enhance Banking Employees’ Productivity, Biljana Matevska

Walden Dissertations and Doctoral Studies

Ineffective leader-follower relationships in banks can negatively affect productivity. Branch bank leaders in New Jersey are concerned that low productivity reduces the quality of service provided to clients. Based on leader-member exchange theory, the purpose of this qualitative pragmatic inquiry project is to identify and explore effective strategies that some leaders in the banking industry in New Jersey use to build leader-follower relationships for increasing and sustaining worker productivity. Participants were six bank managers in New Jersey who had implemented strategies. Data were collected through semistructured interviews and a review of publicly available industrial documents, and three themes were identified …

Exploring Effective Strategies For Optimizing Financial Investments In Healthcare Technology, Bashir Adeniyi Agboola

Walden Dissertations and Doctoral Studies

Ineffective optimization of the billions of dollars spent annually on healthcare technology threatens the sustainability of healthcare systems and exacerbates inequities in patient access. Healthcare technology leaders who lack effective investment optimization strategies risk reducing the operational effectiveness of their healthcare system. The purpose of this qualitative, pragmatic inquiry was to explore the effective strategies that healthcare technology leaders use to optimize financial investments in healthcare technology to improve the patient care experience and equitable access to healthcare services. The participants were nine healthcare technology leaders who used optimal financial investment strategies. Data were collected through semistructured interviews and a …

Overseas Military Transition And Post-Military Job Retention, Chea Hale-Hernandez

Walden Dissertations and Doctoral Studies

Adjustment from military life to the corporate or civilian world can be challenging for some individuals who have served in the armed forces. The purpose of this qualitative phenomenological study was to explore the lived experiences of U.S. military veterans transitioning from overseas service to civilian employment and to identify the factors contributing to long-term job retention. The military transition theory and turnover contagion theory grounded this study. The participants consisted of 20 male veterans representing the U.S. Army, Navy, Air Force, and Army National Guard in Dayton, Ohio. Data were collected using semistructured interviews and public documents. Two themes …

Fort William First Nation People’S Perceptions Of Receiving Nursing Care To Meet Their Wholistic Health Needs, Kara Morriseau

Walden Dissertations and Doctoral Studies

There was limited knowledge of First Nations people’s experiences receiving nursing care to meet their wholistic health needs in Northern Ontario. The purpose of this qualitative interpretive description study, grounded in the two-eyed seeing framework and the Indigenous wholistic theory, was to explore First Nations people’s descriptions of receiving nursing care to meet their wholistic health needs in Northern Ontario. The study took place in the community of Fort William First Nation, a First Nations community in Northern Ontario. With approval from the Chief and Council of Fort William First Nation, semistructured interviews were conducted in person and on Zoom …

Radionuclide-Stimulated Dynamic Therapy Induces Complementary Immunogenic Necroptosis And Apoptosis Cancer Cell Death Pathways, Christopher Egbulefu, Kvar Black, Xinming Su, Partha Karmakar, Lemoyne Habimana-Griffin, Gail Sudlow, Julie Prior, Ezugo Onejeme, Alex Zheleznyak, Baogang Xu, Yalin Xu, Alison Esser, Matthew Mixdorf, Evan Moss, Brad Manion, Cody Hongsermeier, Nisha Gamadia, Nicole Blasi, Luke Stallings, Chidube Alagbaoso, Nathan Reed, Matthew M Gubin, Chieh-Yu Lin, Robert Schreiber, Katherine Weilbaecher, Samuel Achilefu

Faculty, Staff and Student Publications

Radionuclide-stimulated dynamic therapy (RaST) utilizes Cerenkov-radiating radiopharmaceuticals to activate light-sensitive drugs and materials, generating reactive oxygen species (ROS) that inhibit cancer progression. However, the underlying cell death mechanisms are not fully understood. Using ROS-regenerative nanophotosensitizers coated with a tumor-targeting transferrin-titanocene complex and radiolabeled 2-fluorodeoxyglucose, we found that RaST induced apoptosis and necroptosis, characterized by the activation of RIPK-1, RIPK-3, nuclear factor kappa B, and mixed lineage kinase domain-like pseudokinase, leading to membrane permeabilization, cytokine release, and the expression of immunogenic damage-associated molecular patterns. In immune-deficient breast tumor-bearing mice with adequate stroma and growth factors, RaST did not prevent tumor growth …

Comprehensive Metabolic Profiling Across Five Lifespan Stages In Murine Hippocampus And Cortex Reveals Sex-Related Variation In Age-Related Cognitive Decline, Xi Long, Wuping Liu, Changhan Chen, Qi Guo, Yidan Wang, Fang Yu, Yujin Zhang, Rodney E Kellems, Yang Xia

Faculty, Staff and Student Publications

This study employs Barnes maze behavioral assessments, untargeted liquid chromatography-mass spectrometry metabolomics, and 13C6-glucose isotopic tracing to systematically investigate cognitive function and metabolic profiles in hippocampal and cortical tissues of male and female mice across five distinct age-ranges. Behavioral analyses reveal significant cognitive decline in both sexes by 16-months-of-age, with females exhibiting more severe impairment by 23-months, demonstrating a sex-related variation. 13C6-glucose tracing analyses reveals that glucose is rapidly and preferentially metabolized toward the Tricarboxylic acid cycle over glycolysis and the pentose phosphate pathway (PPP), with metabolism rates increasing from juvenility to meet developmental demands and maintaining homeostasis into pre-elderly. …

From Rivalry To Ritual: Sungkeman As A Strategic Political Communication Tool In Indonesian Politics, Fitra Hadi Khaz, Erinaldi Erinaldi, Refdi Refdi, Dede Mirza

Jurnal Wacana Politik

This study explores the overlooked phenomenon of “political sungkeman “ as a culturally rooted yet politically strategic gesture performed by Prabowo Subianto toward Joko Widodo (Jokowi) during Indonesia’s 2019 and 2024 presidential elections. While symbolic gestures have been widely studied in global political communication, limited attention has been paid to how localized traditions like sungkeman are adapted to mitigate polarization and influence public perception in highly mediated electoral contexts. Utilizing a qualitative literature review combined with political discourse and media framing analysis, this study investigates the role of sungkeman through five analytical dimensions: political reconciliation, cultural symbolism, image strategy, public …

Digitalization And Power In Southeast Asia: Rethinking Democracy And Development, Taqiya Arini Putri, Hamzah Turmudi

Jurnal Wacana Politik

Digitalization has become an inevitable driver of Southeast Asia’s economic development, simultaneously reshaping policy frameworks and reconfiguring regional power dynamics. Control over and access to digital infrastructure not only influence the distribution of power but also determine the extent to which digital transformation contributes to equitable and sustainable growth. This study, grounded in the theoretical lens of power relations, explores how digitalization initiatives intersect with political agendas and economic trajectories in the region. Methodologically, the research employs a literature-based analysis that conceptualizes digitalization as a non-human actor interacting with human agency in shaping development outcomes. The findings highlight that technological …

Muslim-Based Parties And The Strategic Use Of Polarization In Indonesia’S Multiparty Politics After 2014, Ari Ganjar Herdiansah, Raden Widya Setiabudi Sumadinata, Aliyuna Pratisti

Jurnal Wacana Politik

The article explores how Indonesian Muslim-based parties are structurally responding to, and using, post-2014 polarization in coalition politics through party institutionalization. Party institutionalization is understood as the mediator that shapes how polarization results in coalition formation, internal organizational dynamics, and electoral performance. A comparative case study of PKB, PKS, PAN, and PPP is covered here, based on interviews with party elites and activists for Islamic organizations, along with secondary sources, electoral reports, and media coverage. Results indicate patterned variation across parties. PKB and PKS, with more cohesive constituencies and stronger organizational capacity, have been able to better exploit the impact …

Trust Based Intelligent Bidding Mechanism For Selecting Efficient, Highly Rated And Suitable Worker Agents, Aditya Kesarwani, Sushanth Patil, Sunil Pareek

Defensive Publications Series

A system including a trust-based intelligent bidding mechanism is proposed herein that addresses the critical challenge of selecting an appropriate agent within an agentic artificial intelligence ecosystem, where users and customers often struggle to evaluate agents, resulting in suboptimal outcomes. This innovative system incorporates bidding agents and a trust layer that facilitates the selection of trustworthy agents for user task execution. Thus, the system rapidly and accurately provides users with appropriate worker agents while considering other factors such as cost, ratings, and user feedback.

System For Autonomous Behavioral Verification And Remediation Of Migrated Database Code, Khushmeet Rekhi

Defensive Publications Series

The migration of database code may result in data corruption when static translation tools do not fully account for behavioral differences between source and target platforms, for example, in rounding or null value handling. A dynamic verification approach can address this. A system may passively observe a legacy database to capture truth vectors, which can be records linking transaction inputs to their verified outputs. Translated code can then be executed in an isolated sandbox environment using these inputs. A semantic comparator may analyze the new output against the legacy output from the truth vector. If a material discrepancy is found, …

Conscious Ai Thought Origination In Llm, Shreyas Kc, Yu Gu

Defensive Publications Series

The present disclosure relates to the field of Artificial Intelligence (AI), and more specifically to conscious AI systems integrated with Large Language Models (LLMs) for autonomous ideation and decision-making. The present disclosure introduces a consciousness layer to a fine-tuned LLM, enabling the model to continuously generate candidate topics, rank them using a weighted scoring algorithm, and select the highest-priority topic for ideation. The consciousness layer captures and stores intermediate outcomes, embeddings, agent actions, and metadata, which are vectorized and re-injected into the LLM’s context to maintain continuity. This loop operates without external prompting, emulating humans like spontaneous thought and topic …

3d Reconstruction For Stadium Cad Drawings Based On Graphic Element Arrangement Pattern Analysis, Shang Ma, Mengyu Zhang, Lan Zhang, Gang Yang

Journal of System Simulation

Abstract: To address the issue of the time-consuming and labor-intensive manual conversion of two-dimensional CAD design drawings of buildings into three-dimensional models, and leveraging the characteristic that stadiums contain a large number of repetitively and regularly arranged objects, this study proposes a similar graphical element detection algorithm. This algorithm detects similarities between graphical elements by constructing their bounding boxes and calculating the L2-Norm distance, identifying all graphical elements of the same type within the CAD drawing. Furthermore, a transformation sequence detection algorithm is proposed. Based on the geometric transformation relationships between graphical elements, a geometric transformation space is defined. By …

Virtual Reality Rehabilitation Training System Based On Multimodal Brain-Computer Interface, Jing Qu, Kaining Fang, Shantong Zhu, Lingguo Bu

Journal of System Simulation

Abstract: The aging population has led to an increasing demand for rehabilitation for cognitive and motor functions. In response to the lack of interest in traditional rehabilitation and the absence of objective physiological assessment in existing virtual reality (VR) rehabilitation systems, a VR rehabilitation training system based on multimodal brain computer interface is developed by integrating VR interaction, near-infrared brain functional imaging, and motion capture technology. An immersive cognitive-motor integrated training environment was constructed to guide users in completing upper limb tasks. By recruiting subjects and synchronously collecting brain network data and Kinect upper limb motion parameters, multimodal assessment …

A Noncovalent Click-To-Release Strategy To Control Bond Cleavage And Prodrug Activation, Xuancheng Fu, Bowen Xu, Suman Maity, Michelle Wu, Luke G. Westbrook, James H. Henderson, Yaoying Wu, Katie A. Edwards, Atanu Acharya, Xiaoran Hu

Pharmacy Faculty Scholarship

Click-to-release chemistry enables bioorthogonal bond cleavage and controlled release via a click-type ligation reaction serving as both the trigger and means of localization. Extending this concept beyond covalent ligation reactions, we introduce a noncovalent click-to-release strategy based on cucurbit[7]uril-adamantane (CB-Ad) association. The CB host molecule forms a pre-assembled host-guest complex with a self-immolative guest (SIG) SIG1, where the masked SIG remains inert. Introduction of a high-affinity guest Ad initiates the CB-Ad noncovalent click reaction, displacing SIG1 and triggering its self-immolation and cargo release. As a proof-of-concept, we used a prototype prodrug SIG2 to demonstrate our strategy's potential for controlled therapeutic …

Material Reconstruction From Single Image Combining Neural Networks With Singular Value Decomposition, Zhiqiang Li, Xukun Shen, Yong Hu, Xueyang Zhou, Yifan Chen

Journal of System Simulation

Abstract: The tabulated BRDFs (bidirectional reflectance distribution function) can realistically reproduce the surface appearance of objects. However, due to their high-dimensional characteristics and the fact that a single planar image contains limited reflectance information and small differences, methods for estimating tabulated BRDFs typically require complex equipment or the capture of multiple images. To address this issue, a method is proposed for reconstructing material properties from a single image by combining neural networks with singular value decomposition. The singular value decomposition is introduced to compress the material into a lower-dimensional space. The task of solving the tabulated BRDFs is simplified to …

Vrbt: Vr Badminton Training With Multitask Injury Alerts Based On Lightweight 3d Skeletal Reconstruction, Yuning Zhu, Meng Yang, Tianyue Chen, Weiliang Meng

Journal of System Simulation

Abstract: To overcome the limitations of traditional badminton training, a VR training method that integrates multiple models for collaborative simulation is proposed. A "perception-decision- interaction" framework is developed within Unity, featuring diverse training modules powered by a physics engine for realistic trajectory simulation. The system employs a lightweight MHFormer for 3D pose estimation and a novel multi-task model (enhanced injury prediction system, EIPS) that combines random forest and XGBoost to jointly assess injury risk. This approach offers a solution for balancing real-time performance with accuracy in skeleton reconstruction and enables personalized training through dynamic risk assessment.

Addressing The Void Of Ai Policies In Education For Students With Specific Learning Disabilities, Mikyung Shin, Fatmana Deniz, Latesha Watson, Cynthia Dieterich, Kathy B. Ewoldt, Friggita Johnson, Jennifer E. Kong, Sung Hee Lee, April Whitehurst

Education Faculty Articles and Research

The purpose of this study was to identify the current state of artificial intelligence (AI) policies in U.S. education and propose actionable recommendations through large language model–based topic modeling and Delphi surveys. Out of 12 policy documents released between 2015 and 2025, only two documents (National Center for Learning Disabilities, 2024; W.A. v. Clarksville/Montgomery County School System, 2024) specifically addressed learning disabilities. Policy documents addressing topics such as AI-driven risk assessment, data protection, legal risk management, and ethical guidelines covering other disabilities and general AI in education policy were provided as baselines that could be discussed and validated through …

Statewide Sanctuary Policies And Female Homicide Rates, 2016–2021, Kaitlin M. Boyle, Sophia Shaiman, Veronica Valencia Gonzalez, Wendy Regoeczi

Faculty Publications

The current study examines whether state immigration enforcement policies, such as sanctuary policies that limit local police cooperation with federal immigration enforcement, are associated with female homicide rates in the United States (2016–2021). We examine crude female homicide rates from the National Violent Death Reporting System (N = 244 state-years), which we stratify by race and ethnicity (Hispanic of all races, non-Hispanic Black, and non-Hispanic White) and victim–suspect relationship (domestic vs. stranger homicide). State-years with policies that are more protective of immigrants were not associated with higher homicide rates for any group. Instead, state-years with these policies reported significantly lower …

Pdr-Stgcn: An Enhanced Stgcn With Multi-Scale Periodic Fusion And A Dynamic Relational Graph For Traffic Forecasting, Jie Hu, Bingbing Tang, Langsha Zhu, Yiting Li, Jianjun Hu, Guanci Yang

Faculty Publications

Accurate traffic flow prediction is a core component of intelligent transportation systems, supporting proactive traffic management, resource optimization, and sustainable urban mobility. However, urban traffic networks exhibit heterogeneous multi-scale periodic patterns and time-varying spatial interactions among road segments, which are not sufficiently captured by many existing spatio-temporal forecasting models. To address this limitation, this paper proposes PDR-STGCN (Periodicity-Aware Dynamic Relational Spatio-Temporal Graph Convolutional Network), an enhanced STGCN framework that jointly models multi-scale periodicity and dynamically evolving spatial dependencies for traffic flow prediction. Specifically, a periodicity-aware embedding module is designed to capture heterogeneous temporal cycles (e.g., daily and weekly patterns) and …

Virtual-Real Fusion Simulation Technology And Application Research For Industrial Control Systems Cybersecurity Of Process Manufacturing, Xinwei Wang, Jinjiang Wang, Zheng Wang, Laibin Zhang

Journal of System Simulation

Abstract: Aiming at the problem that the industrial control system in the process manufacturing industry lacks an effective attack and defense drill platform when facing network attacks, it is difficult to truly simulate the attack situation, verify the protective measures, and accurately evaluate the impact of attacks on the physical system, an industrial control cybersecurity simulation technology based on virtual-real fusion is proposed to build an efficient attack and defense drill range. The industrial control cybersecurity simulation architecture based on virtual-real fusion is designed, and the consistency analysis of virtual-real fusion data is carried out. At the same time, …

Liahona Project Checklist And Form Samples, Yoshihiko Ariizumi

Spiritual Proficiency

Table of Contents (Page)

• Checklist for Phenomenological Reduction and Analysis of Spiritual Experiences (1)

• Spiritual Experience Phenomenological Reduction Journal Template (3)

• Daily Checklist for Spiritual Growth (4)

• 1-Minute Daily Spiritual Growth Check (5)

• Spiritual Proficiency (SP) Daily Journal (6)

• Checklist for Phenomenological Reduction and Analysis of Spiritual Experiences (Reprint) (8)

Fatigue Crack Length Estimation Using Acoustic Emissions Technique-Based Convolutional Neural Networks, Asaad Migot, Ahmed Saaudi, Roshan Joseph, Victor Giurgiutiu

Faculty Publications

Fatigue crack propagation is a critical failure mechanism in engineering structures, requiring meticulous monitoring for timely maintenance. This research introduces a deep learning framework for estimating fatigue fracture length in metallic plates through acoustic emission (AE) signals. AE waveforms recorded during crack growth are transformed into time-frequency images using the Choi–Williams distribution. First, a clustering system is developed to analyze the distribution of the AE image-based dataset. This system employs a CNN-based model to extract features from the input images. The AE dataset is then divided into three categories according to fatigue lengths using the K-means algorithm. Principal Component Analysis …

Ethics Of Artificial Intelligence For Lawyers: I’M Sorry Dave, I’M Afraid I Can’T Do That: Competence, Confidentiality, And Communication, Cliff Mckinney

Arkansas Law Notes

In Stanley Kubrick’s 2001: A Space Odyssey, the spaceship’s onboard computer, HAL, calmly refuses to follow the astronaut’s command with the chilling words, “I’m sorry, Dave, I’m afraid I can’t do that.” HAL’s response has become a cultural shorthand for what happens when human expectations collide with machine limitations. The line endures because it captures the chilling reality that machines may appear capable, but they cannot always be trusted to act in ways humans expect or need.

This installment explores three pillars of Formal Opinion 512: competence, confidentiality, and communication. These pillars focus on what lawyers need to understand about …

Changing High Water Exceedances In The Southeast U.S., Xavier Willis, Ian Kahn, Steven Meyers, Mark Luther

Making Waves REU

Sea level rise increases the likelihood that water levels will exceed flooding thresholds. This is particularly true for low-lying areas such as Florida. The rate of change of these exceedances is a topic of research, and important for planning community resilience to climate change. Data from NOAA coastal tide gauges for the Southeast U.S. were used to determine the annual 95th, 98th, and 99th percentile exceedance levels from 1975 to 2022, for each year and with Summer and Winter segments. Exceedance levels were on average 5-10% higher during Summer compared to Winter. The tide gauge station at Fernandina Beach had …

Pabrik Gula Di Tangan Netizen: Pemanfaatan User Generated Content (Ugc) Sebagai Mesin Promosi Film, Muthiah Khansa Basyirah, Khairunnisa Devani Aqtus Permana Putri Putri, Peny Meliaty Hutabarat, Yunita Miftahul Jannah

Jurnal Sosial Humaniora Terapan

Social media continues to drive growing digital trends in Indonesia, including marketing strategies. TikTok has become one of the social media platforms capable of gaining wider exposure due to its ability to create viral content. In line with the increasing use of TikTok, the phenomenon of User Generated Content (UGC) has emerged. This study aims to examine UGC in the marketing strategy of the film Pabrik Gula (Sugar Factory) to improve effective communication, close relationships with audiences, and creative content production strategies. This study uses User Generated Content (UGC) as the research subject and Pabrik Gula as the object, using …

The Warship, Caleb T. Ramage

Night Flight: Online Literary Journal

When cargo hauler Captain Solin Keer wakes from cryosleep to find his ship boarded by an alien vessel, he freezes, just as he did twenty years ago when his brother died behind a closing blast door. Now, as four hundred colonists vanish into the void, Solin faces a choice: remain a coward, or finally act.

Modulation Of Hypothalamic–Limbic Circuits Regulating Appetite In Response To Health Lifestyle In Obese Adults, Nour Shakir Rezaieg, Muthanna M. Awad

Karbala International Journal of Modern Science

Background: Overeating leads to obesity a low-grade inflammatory disease. In this context, aguati-related neuropeptide (AgRP) and ghrelin are pivotal players in appetite regulation, while chemerin is an adipose tissue-secreted adipokine that contributes to low-grade inflammation associated with obesity. Objective: This study used a healthy lifestyle program designed for each obese participant to identify diet-related neuro-hormonal changes in appetite regulation. Design, Setting, and Participants: This a longitudinal quasi-experimental controlled study was conducted from 1^st December 2024, to 30^th July 2025, at University of Anbar. The sample included 100 participants, 50 obese (weight between 100–140 kg) and 50 healthy participants …

California Couple Adds $3 Million To Scholarship Fund, Tina H. Hahn

University of Mississippi News

OXFORD, Miss. – Bill and Melanie Roper, of La Jolla, California, are deepening their commitment to University of Mississippi students by adding $3 million to the Bill and Melanie Roper Scholarship Endowment, which began with a $2 million gift in 2022.

Host-Derived Interleukin-1Α Drives Tumor Immunosuppression By Reprogramming Tumor-Associated Myeloid Cells, Manikanda Raja Keerthi Raja, Gourab Gupta, Grace Atkinson, Katie Kathrein, Alissa R. Armstrong, R. Michael Gower, Igor Roninson Ph.D., Eugenia Broude, Mengqian Chen Ph.D., Hao Ji, Chang-Uk Lim, Hongjun Wang, Daping Fan, Peisheng Xu Ph.D., Hexin Chen

Faculty Publications

Myeloid cells are highly heterogeneous and play key roles in establishing an immunosuppressive tumor microenvironment (TME), but the mechanisms controlling their differentiation remain unclear. Using orthotopic murine breast cancer models, we investigated how interleukin-1α (IL-1α) influences this process. Deletion of host Il1α resulted in rejection of transplanted tumors. Single-cell RNA sequencing identified CX3CR1⁺ macrophages as the main source of IL-1α in the TME. Il1α deficiency disrupted monocyte–macrophage differentiation, reducing CX3CR1⁺ macrophages and increasing iNOS⁺ macrophages. Myeloid cells from Il1α⁻/⁻ hosts induced lower PD-1 and CTLA-4 expression in co-cultured CD8⁺ T cells than those from wild-type hosts. CellChat analysis showed …