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Ai-Driven Project Management In Real Estate Private Equity: Impacts On Workflow Efficiency And Standardization, Alexander D. Van Den Bosch

Harrisburg University Dissertations and Theses

Artificial intelligence (AI) is increasingly used in project management, yet limited research has examined its relationship with workflow efficiency and process standardization in real estate private equity (REPE) acquisitions. This quantitative correlational study examined these relationships and identified which AI-supported functionalities respondents perceived as contributing most to project management performance. The study drew on project management principles and the Technology Acceptance Model. Data were collected through a cross-sectional QuestionPro survey of professionals involved in REPE and related acquisition workflows, resulting in 146 completed surveys. The study used descriptive statistics, Pearson correlations, and regression analysis to evaluate the data. AI implementation …

Staying Ahead Of Murphy’S Law: A Proactive Approach To Quality Improvement, Cristina L. Ritzema, Jessica Schweitzer

International Nursing Research Congress (INRC)

Purpose: The purpose of this initiative was to proactively minimize the risk for patient harm related to errors in the administration of IV Pitocin and/or magnesium (Mg) during emergent situations in the labor and delivery unit, through best-practices and evidence-based strategies.

Background: Pitocin and Mg are high-risk IV medications in obstetrics, frequently given during stressful situations. After a serious Pitocin-related error at another facility caused adverse outcomes, the staff recognized their own vulnerability to similar mistakes. While quality improvement and risk management initiatives are often reactive responses to poor outcomes, the team chose a proactive approach. It implemented fail-safe solutions …

Jose Lemus Palma V. Attorney General United States Of America

2026 Decisions

Agency

Usa V. Gerald Welch

2026 Decisions

USDC for the Eastern District of Pennsylvania

Tfb Midatlantic 4 Llc V. The Local Car Wash Inc

2026 Decisions

USDC for the Middle District of Pennsylvania

Emergency Departments And The Return Of Vaccine-Preventable Diseases: Closing The Preparedness Gap, Eve A. Spear, Steven J. Spear

URGENT Matters

No abstract provided.

Study The Effects Of Nuclear Correlations And Tensor Forces On The Nuclear Structure Of The 10B Nucleus, Farah Faris Kaddoori

Baghdad Science Journal

A detailed theoretical investigation of nuclear transition charge densities is carried out for the odd–odd nucleus ¹⁰B, with particular emphasis on collective dynamics and short-range nucleon–nucleon correlations. Longitudinal C2 form factors for inelastic electron scattering are evaluated for several excited nuclear states. The transition charge density is expressed as a superposition of the shell-model contribution and a core-polarization term arising from collective nuclear dynamics. The latter is evaluated within the Tassie collective model using correlated ground-state two-body charge-density distributions (2BCDDs). These correlated densities are derived using the nuclear contact formalism, incorporating short-range central correlations and tensor-force effects from realistic …

Reduced Kinetic Modelling Of Reactive Oxygen And Nitrogen Species Formation In Microwave Plasma Jets, Hayder M. Hadi, Abdul Hussain A. Khadyair, Hamid Al-Jibbouri

Baghdad Science Journal

Cold atmospheric-pressure microwave plasma jets are crucial sources of reactive oxygen and nitrogen species (RONS) in the fields of biomedicine, environment, and industry. A reduced kinetic model has been constructed to model RONS production in microwave-driven plasma jets at different process parameters in this paper. The model employs a simplified system of coupled ordinary differential equations representative of the dominant plasma-chemical reactions to characterize the time evolution of six high-interest species (OH, O, O₃, NO, NO₂, and H₂O₂). The influence of gas composition, gas flow rate, surface humidity, and microwave power on …

I-V Characteristics Of Corona Discharge Of The Upper-Lower Electrode Arrangement, Asep Yoyo Wardaya, Zaenul Muhlisin, Isnain Gunadi, Pandji Triadyaksa, Muhammad Nur, Susilo Hadi

Baghdad Science Journal

Corona discharge characterization is essential for industrial plasma devices such as electrostatic precipitators, where effective sharp electrode configurations can generate high discharge currents at relatively low potential differences efficiently and measurably. This study aims to determine the characteristic equation of the current-voltage (I-V) curve for DC corona plasma with both electrodes sharp, which represents the optimal condition for producing corona discharge. A geometric approach based on modified capacitance by introducing a current multiplier factor (k) on the sharp electrode surface is implemented. Corona discharge is assumed to depend on the maximum local electric field at the electrode tip, while k …

Novel Solitary Wave Solutions And Stability Analysis Of The Generalized (3+1)-Dimensional Chaffee–Infante Equation, Mostafa M. A. Khater

Baghdad Science Journal

The generalized (3+1)-dimensional Chaffee–Infante equation, a nonlinear evolution equation with dispersive, dissipative and nonlinear effects, is considered a member of the class of reaction–diffusion models. Applying the Khater III method, we obtain seventeen exact analytical solutions of hyperbolic, trigonometric and rational function forms. The accuracy of these solutions is verified by comparison with the numerical simulations obtained by He's variational iteration method. The satisfactory consistency at absolute error levels less than 10^ - 9 supports the reliability of the analytical results. The analysis shows different dynamical patterns: solitary waves, periodic structures and singular wave profiles and studies their stability properties …

J&S 49 Prince Llc V. Parra

All Decisions

Respondent superintendent moves for summary judgment dismissing this RPAPL §713(11) holdover on the ground that petitioner's notice of petition materially departed from the mandatory form prescribed by AO/163/19 and 22 NYCRR §208.42(b): the "Language Help" multilingual section contained corrupted characters, organizational boxes were omitted, and prescribed emphasis and visual spacing were eliminated. Court holds that "mandatory" means the prescribed form must be used—it is not suggested language from which a petitioner may construct a substitute—and applies the First Department's strict compliance standard from Riverside Syndicate, Inc. v. Saltzman, 49 AD3d 402 [1st Dept 2008]. The departures impair the form's access-to-justice …

When Steroids Backfire: Tinea Incognito Following Treatment For Presumed Psoriasis, Nicole Skalka, Nathaniel Marroquin, Jay Nguyen, Panagiotis Mitropoulos, Patrick Dominguez

GME Publications

Tinea incognito is an altered clinical presentation of a dermatophyte infection that develops following treatment with topical or systemic corticosteroids or other immunosuppressive agents. Suppression of inflammation temporarily improves the appearance of the eruption while masking the characteristic annular, scaly appearance of the infection, making diagnosis more challenging. If a fungal infection is suspected, a potassium hydroxide (KOH) preparation should be performed to evaluate for an underlying fungal etiology. A 43-year-old male presented to dermatology after treatment with clobetasol propionate 0.05% cream and roflumilast 0.3% cream for presumed psoriasis. His eruption initially improved but subsequently recurred and progressively worsened over …

Quality Improvement Project: Improving Nursing Knowledge And Confidence Of Dysglycemia In Pediatric Oncology Patients, Lindley Abrams

Doctor of Nursing Practice Projects

Treatment-induced dysglycemia is a frequently underrecognized complication of pediatric cancer therapy. Pediatric oncology nurses play a critical role in recognizing and managing dysglycemia; however, limited exposure to specialized dysglycemia education may contribute to gaps in knowledge and confidence. A site needs assessment found that 53% of nurses reported discomfort with glycemia-related concepts, supporting the need for targeted education. The purpose of the project was to evaluate changes in pediatric oncology nurses’ knowledge and confidence in recognizing and responding to treatment-induced dysglycemia. The project aimed to provide a structured educational intervention and measure pre- and post-intervention changes. Newman’s Health as Expanding …

Quality Improvement Project: Electronic Consent's Influence On Consent Error Rates, Alexis Fogle

Doctor of Nursing Practice Projects

Surgical consent errors increase the risk of inaccurate documentation, compromise patient safety, and disrupt procedure times. Evidence indicates that adopting electronic consent can optimize workflow, support accurate and complete documentation, improve readability, and enhance record reliability. This project evaluated whether initiating electronic consent, compared with handwriting surgical consent forms, reduced the number of improper surgical consent forms completed over six weeks. Roy’s Adaptation Model guided the change process, and the Theory of the Person as an Adaptation System provided the theoretical basis. The Plan-Do-Study-Act model supported evidence-based implementation of the electronic consent intervention. The quality improvement project was conducted on …

Implementing An Evidence-Based Practice Training Program To Impact Nursing Skills Competency And Self-Efficacy In A Long-Term Care Facility, Angela Mcknight

Doctor of Nursing Practice Projects

Long-term care facilities require nursing staff who can competently perform clinical skills; however, the project site relied primarily on written in-service education and attendance verification without direct validation of psychomotor performance. The purpose of this quality improvement project was to evaluate competency-based nursing education in a long-term care facility. The aim was to strengthen demonstrated urinary catheterization competency and evaluate changes in perceived professional nursing competence and general self-efficacy among licensed nurses. A quasi-experimental, one-group pretest-posttest design included 12 registered and licensed practical nurses. Plan-Do-Study-Act guided implementation, Lewin’s Change Theory guided organizational change, and Social Cognitive Theory supported the educational …

A Quality Improvement Project: Impacting Communication Perceptions Among Nursing Staff And Providers Regarding Perioperative Medication Management Impacting Anesthesia Care, Demetria Jefferson

Doctor of Nursing Practice Projects

Medication-related surgical cancellations disrupt patient care, increase healthcare costs, and contribute to inefficient use of perioperative resources. Evidence supports standardized education and communication to improve perioperative medication safety. This quality improvement project aimed to improve staff self-efficacy in communicating medication instructions and reduce surgical cancellations associated with sodium-glucose cotransporter-2 (SGLT2) inhibitors, glucagon-like peptide-1 (GLP-1) receptor agonists, and phentermine. Bandura’s Social Cognitive Theory and Lewin’s Change Model guided the project. A quasi-experimental one-group pretest-posttest design included perioperative staff who provided medication instructions across two settings within an academic health sciences center. Using the Plan-Do-Study-Act framework, interventions included standardized staff education, patient …

Training Faculty For Skills Evaluation: A Quality Improvement Project, Shelley Leezer

Doctor of Nursing Practice Projects

There is an identified gap between nursing knowledge learned in academic settings and application of clinical skills in practice settings. Literature contributes this gap to poor knowledge retention, lack of constructive feedback, and inability to apply knowledge to clinical practice. The purpose of this project was to address skill mastery and retention in nursing students within a university. The project aim was to improve faculty feedback and evaluation to best support skill mastery in the skills laboratory. Lewin’s Change Management Model and Dr. Patricia Benner’s Novice-to-Expert Theory guided project design and progress. This pre- and post-intervention study followed a PDSA …

Participant Recruitment And Retention In Studies Investigating Pregnancy-Related Pelvic Girdle Pain: A Methodological Systematic Review, Jasmine Darley, Bradley Halliday, Jill Shawe, Joanne Hosking, Zoe Hoare, Jennifer Freeman

School of Nursing and Midwifery

BackgroundRecruiting and retaining participants for clinical trials is a common and well-documented challenge, with particular complexity in perinatal populations which are historically underrepresented in health research. Recruitment and retention are known to be shaped by context-specific factors, yet no systematic review has examined these processes within the clinical domain of pregnancy-related pelvic girdle pain (PPGP), a common and potentially debilitating condition affecting around one in five women in the UK.ObjectiveThis methodological systematic review aimed to summarise participant recruitment and retention in clinical trials investigating PPGP across four objectives: (1) to identify methods of recruitment and retention; (2) to assess the …

Sex-Based Differences In Gastroduodenal Artery Morphometry, Morgan W. Stewart, Jenna M. Watts, Vincent J. Schmidt, Simran Aulakh, Cameron T. Smith, Forrest Dunivin, Julia Kirkland, Melissa Zolnierz

Student Publications

Introduction: The gastroduodenal artery (GDA) supplies the upper gastrointestinal tract, and variation in its geometry may influence endovascular access and hepatobiliary interventions. This study evaluated sex-based differences in the GDA branching angle and diameter using standardized morphometric analysis.

Methods: This retrospective cadaveric morphometric study included 28 formalin-embalmed donors (12 males and 16 females) examined between 2024 and 2025. Inclusion criteria required an intact GDA and common hepatic artery suitable for analysis. Following targeted vessel dissection, perpendicular images were obtained with in-plane calibration and analyzed using ImageJ (National Institutes of Health, Bethesda, MD, USA). Branching angle and mid-segment diameter were measured …

Hybrid Transformer-Bilstm Model For Early Fault Detection And Multiclass Classification Of Wind Turbine Faults Using Scada Data, Hassan Y. Mkindu

Tanzania Journal of Engineering and Technology (TJET)

Early and accurate fault detection in wind turbines is essential for improving operational reliability, reducing maintenance costs, and minimizing unplanned downtime. This study proposes a Hybrid Transformer-BiLSTM deep learning model for early fault detection and multiclass fault classification using Supervisory Control and Data Acquisition (SCADA) data. The proposed architecture combines the Transformer's self-attention mechanism to capture global temporal dependencies with the Bidirectional Long Short-Term Memory (BiLSTM) network's ability to model sequential fault evolution, enabling effective learning of multivariate time-series data. The model was developed and evaluated using the recently introduced CARE SCADA dataset, classifying five operating states: No Fault, Transformer …

Shu World Review- September 20th 2026, Diplolab, Seton Hall University

SHU World Review

No abstract provided.

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

Designing A Technology-Enhanced Curriculum For Preservice Mathematics Teachers: A Practice-Based Reflection, Alaa Karem Abd-El-Hafez

International Journal of Transformative Teaching and Learning in Higher Education

Preparing preservice secondary mathematics teachers in a post-pandemic, AI-driven digital landscape presents unique pedagogical challenges. As a teacher educator and former secondary mathematics teacher, I aim for preservice candidates to harness technology as a vehicle for high-leverage, evidence-based teaching strategies while prioritizing software accessibility and affordability. This practice-based article details the comprehensive redesign of a technology in mathematics education course structured around five modular units and three project-based assessments. Guided by the Technological Pedagogical Content Knowledge (TPACK) framework, I articulate the rationale for tool selection, instructional design decisions, and assessment strategies. Ultimately, this course model offers higher education programs an …

Use Of Generative Ai Tools In An Undergraduate Engineering Design Course, Wei Yin, Esther Ocharo, Lillian Best, Harrison Martin

International Journal of Transformative Teaching and Learning in Higher Education

Generative AI tools are widely used by college students. This study aimed to investigate the best ways to teach students the limits of AI, especially in hands-on engineering classes. A class project in a sophomore biomedical engineering class was used to test the effectiveness of generative AI tools in supporting engineering CAD design and 3D modeling. Students were tasked with designing a finger basketball toy, creating 2D engineering drawings, and creating a physical prototype using 3D modeling and printing. Students used ChatGPT, Copilot, and Gemini to support the completion of the design project. Students’ manual work demonstrated satisfactory skills in …

Veterans' Benefits Exceptionalism After Axon: Johnson V. U.S. Congress And The Future Of Structural Constitutional Review In Va., Robert Molina

ConLawNOW

This Essay addresses the pending case before the U.S. Supreme Court, Johnson v. U.S. Congress, and argues that the Court should resolve the tension between regular federal jurisdiction and specialized administrative court jurisdiction for veterans’ benefits claims. Veterans’ benefits exceptionalism, it asserts, should not overcome the usual federal court process. Ordinary benefits-entitlement claims, and some statutory-validity claims, may properly remain in the specialized pipeline established by the Veterans’ Judicial Review Act. But structural constitutional challenges to the Veterans Administration adjudicatory apparatus should receive immediate district court review when they satisfy the three-factor test the Court applies to determine whether …

Multi-Source Artifact Enrichment And Validation For Automated Defect-Signature Detection, Ramesh Babu Radhakrishnan, Amrit Tickoo, Praveen Kumar Tarikere Nagaraj, Mohan Sai Vara Prasad Pedavala, Venkat Krishnamurthy

Defensive Publications Series

A system is proposed herein for converting an unstructured software defect record into a standalone executable detection program that can determine, through read-only operation, whether a live deployment is exposed to the defect. The system performs a staged transformation that derives root-cause and exposure criteria, assesses the availability of required telemetry, enriches missing artifacts from trusted sources, generates detection logic under schema constraints, and validates and repairs the resulting program. A large language model (LLM) assists selected stages, while source grounding, reusable helper routines, multi-stage review, and bounded execution costs produce a reliable operational result. The program can then execute …

Multi-Agent Orchestration Engine For Synchronized Generative Dialogue And Kinematics, Allison Garcia, Corbin Cunningham, Mike Dory

Defensive Publications Series

Creating coordinated interactions for multi-agent systems, such as physical robots or virtual characters, can present challenges in synchronizing expressive dialogue with coherent physical actions and adapting to unscripted events. The disclosed technology describes a multi-agent orchestration engine with a decoupled architecture that can employ a tiered timeline system to manage a global narrative and individual agent states. A dynamic interruption handler can leverage a large language model to reason about real-time inputs and determine if an agent should deviate from a scripted path. The engine can then generate synchronized dialogue and high level behavioral tokens, which may be subsequently translated …

Celebrity Of Springfield Llc V. Sba

2026 Decisions

USDC for the District of New Jersey

Usman Roshan V. New Jersey Institute Of Technology

2026 Decisions

USDC for the District of New Jersey

Ahmed Jalees V. Attorney General United States Of America

2026 Decisions

Agency