Digital Commons Network^™

Relationship Between Leadership Styles And Teacher Job Satisfaction After Covid-19, Willona E. Johnson

Walden Dissertations and Doctoral Studies

The educational sector in the United States experienced substantial workforce changes during the Great Resignation, a period following the COVID-19 pandemic when many employees left their jobs. In response, school leaders were encouraged to understand the relationship between their leadership styles and teacher job satisfaction. This quantitative correlational study used Job Satisfaction Theory as its theoretical framework to examine the relationship between three leadership styles—transactional, transformational, and laissez-faire (passive-avoidant)—and teacher job satisfaction in the post-pandemic context. Eighty-two teachers participated by completing the Job Satisfaction Survey and the Multifactor Leadership Questionnaire (MLQ). Results from the multiple linear regression analysis were statistically …

Student Activism In Post-Authoritarian Indonesia: Higher Education Reform, Movement Dynamics, And Shifting Political Narratives, Mohammad Fajar Shodiq Ramadlan, Muhammad Faishal Aminuddin

Jurnal Wacana Politik

This study investigates student activism in post-authoritarian Indonesia, focusing on the interplay between higher education reform, movement dynamics, and evolving political narratives over the past decade. Utilizing a mixed-methods approach, we surveyed 497 undergraduates from social and political science faculties at 26 Indonesian universities and supplemented our analysis with a document review of student movements from 1999 to 2021. The study examines the transformation of Indonesia’s higher education system, the defining characteristics of contemporary student activism, and the predominant socio-political issues driving post-authoritarian student movements. Our findings show that student activism primarily occurs through various platforms, including social media, organizational …

Development Of A Clinical Practice Guideline To Improve Appointment Adherence Among Adults With Depression In An Outpatient Setting Using The Agree Ii Framework, Udenma Okafor-Bryden

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice (DNP) project was designed to develop a clinical practice guideline (CPG) to enhance appointment adherence among adults with depression in an outpatient mental health clinic, thereby improving outcomes. The practice-focused question was Will a CPG utilizing a multimodal reminder system improve appointment adherence? Missed appointments in outpatient mental health care contribute to delayed treatment, increased symptom severity, and higher rates of emergency care utilization. These disruptions not only compromise clinical outcomes but also financially burden healthcare systems and disrupt continuity of care. The CPG was developed using the Johns Hopkins evidence-based practice model and a …

Spartan Daily, September 3, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 5

Application Of Neural Networks For Intelligent Processing Of Sensor Signals In The Control Of Technological Process Parameters, N.R. Yusupbekov, Yu.Sh. Avazov, G.Kh. Rashidov

Chemical Technology, Control and Management

This scientific article investigates the problem of analyzing technological process parameters in the fields of chemistry, energy, and metallurgy based on sensor data and applying intelligent signal processing methods. The main objective is to evaluate the effectiveness of artificial intelligence and deep learning models for intelligent analysis, forecasting, and anomaly detection of data obtained from sensors. Time-series data collected from industrial sensors were analyzed using LSTM (Long Short-Term Memory) and Autoencoder neural networks, as well as the Kalman filter. At the first stage of the study, sensor signals were denoised and their true state was estimated using the Kalman filter. …

Research And Development Of Intelligent Measurement Systems, Odil Abdujalilovich Jumaev, Mahmudov Giyosjon Baqoyevich

Chemical Technology, Control and Management

The article discusses modern methods for developing intelligent measuring systems. Intelligent measuring systems are systems based on intelligent technologies that not only accurately measure physical or chemical quantities, but also have the ability to self-analyze, diagnose and make management decisions. The article comprehensively examines the architecture, components of such systems, the organization of their software and hardware, the relationship of sensors and artificial intelligence algorithms. It also analyzes the practical application and prospects of intelligent measuring systems in such areas as industry, medicine, energy, ecology, transport.

Finding The Shortest And Optimal Path With Metaheuristic And Madm Methods, Narmin Ibrahim Hasanli

Chemical Technology, Control and Management

The article had described a method for finding the shortest and most optimal path among cities. The data had been taken from the TSPLIB library, which had provided standard examples for the Traveling Salesman Problem. This approach had integrated the advantages of the meta-heuristic technique and the Multi Attribute Decision Making method to solve the problem effectively. In the first stage, the population based meta-heuristic method ACO (Ant Colony Optimization) had found optimal solutions in large search spaces. The use of pheromone trails, heuristic information and an iterative search process had given the opportunity to find the best or near-best …

An Exploration Of The Evolving Boundary-Spanning Leadership Role Of Architects, Rory Concannon, Roisin Murphy, Oluwasegun Seriki

Articles

Architects form part of multidisciplinary teams in the construction of the built environment. Traditionally they have played a leading role within the construction process, often managing entire projects to completion. In recent years the composition of construction teams have evolved, leading to a perception that the architects leadership role has been diminished. Little is known about the boundary-spanning leadership required by architects, particularly in the light of the evolving roles. Through in-depth, semi-structured interviews, this research reduces this gap by exploring architect’s leadership practices in the context of changing boundaries within the construction team. Our findings reveal six specific competencies …

Lindenwood Digest, September 3, 2025, Lindenwood University

Lindenwood Digest

The Lindenwood Digest has been a digital employee newsletter since 2009.

Umn Morris Theatre Arts Announces Bold 2025-26 Season, Communications And Marketing

Campus News Archive

No abstract provided.

Umn Morris Receives International Tutor Training Certification, Communications And Marketing

Campus News Archive

No abstract provided.

A Comprehensive Framework For Assessing Terrestrial Analogue Field Sites For Ocean Worlds, Jennifer C. Stern, Heather V. Graham, Bradley Burcar, Emily S. Martin, Aaron Noell, Kevin Hand, Jeff S. Bowman, Peter Doran, Virginia Edgcomb, James F. Holden, Alta E.G. Howells, Michael J. Malaska, Brook L. Nunn, Jani Radebaugh, Laura E. Rodriguez, Schuyler Borges, Dina Bower, Samuel Courville, Melisa Diaz, Benjamin Hockman, Julie Huber, Justin Lawrence, Trista Vick-Majors, Conor A. Nixon, John R. Spear, Amanda V. Steckel, Anezina Solomonidou, Nicholas Schmerr, Britney Schmidt, Matthew O. Schrenk, Lauren Seyler

Michigan Tech Publications

Field studies at terrestrial analogue sites represent an important contribution to the science of ocean worlds. The value of the science and technology investigations conducted at field analogue sites depends on the relevance of the analogue environment to the target ocean world. We accept that there are no perfect analogues for many of the unique environments represented by ocean worlds but suggest that a one-to-one matching of environmental characteristics and conditions is not crucial to the success or impact of the work. Instead, we must determine which processes and parameters are required to map directly to the target ocean world …

Handling Hemolytic Blood Samples From High-Risk Clinical Areas: A Call To Action, Alan H B Wu, Jerrold H Levy, W Franklin Peacock, Ramzy Rimawi, Manuel Sanchez Luna, Christopher Farnsworth, Hugo Stiegler, Robert H Christenson

2020-Current year OA Pubs

BACKGROUND: Spectrophotometric testing to detect sample hemolysis is available from central laboratory chemistry analyzers. While the cause and preventative measures are known, hemolysis continues to be a common preanalytical error, especially for specimens collected from the emergency department (ED) and intensive care units (ICUs) where point-of-care analyzers are commonly used for whole blood electrolyte testing. Recently, these analyzers have employed technology to detect hemolysis directly on whole blood samples.

METHODS: Experienced laboratorians and physicians from the clinical laboratory, ED, adult and neonatal ICUs provide a summary of the medical importance of in vitro hemolysis. Causes for in vivo hemolysis are …

Award-Winning Teachers’ Perceptions Of The Missouri Leadership Development System’S Principal Competencies As A Factor In Teacher Retention, Shelly Parks

Walden Dissertations and Doctoral Studies

This qualitative descriptive study addressed low teacher retention in the U.S. state of Missouri, where ineffective school leadership is often noted as a primary cause for why teachers leave the profession despite the existing Missouri Leadership Development System (MLDS) principal training. Guided by the job demands-resources theory, the purpose of this study was to explore award-winning teachers' perceptions of MLDS principal competencies as an influence on retention and gather suggestions for refinement. Phase 1 involved surveying 82 award-winning Missouri teachers on the appropriateness of the 41 principal competencies for retention where teachers ranked each competency. Survey data were analyzed to …

The Sea Ice For Walrus Outlook—A Network For Weather And Sea-Ice Information Sharing In The Bering Strait, Alaska, Lisa Sheffield Guy

Benefits of Ocean Observing Catalog (BOOC)

The Sea Ice for Walrus Outlook (SIWO) is a collaborative information-sharing network that delivers weekly springtime updates on sea ice and weather conditions relevant to walrus habitat in the Bering Strait region of Alaska. Launched in 2010, SIWO shares Indigenous Knowledge from Alaska Native sea-ice experts alongside custom forecasts and imagery from the National Weather Service Alaska, the University of Alaska Fairbanks, and the Alaska Ocean Observing System. Weekly reports incorporate community-based observations, satellite imagery, 7-day forecasts, and animated current and ice movement models to inform subsistence hunters and support maritime safety. This hybrid approach facilitates real-time communication and mutual …

Students From Low-Income Backgrounds: Characteristics, Common Barriers, And Initiatives To Better Support Student Success, Michael Sparrow

New York Journal of Student Affairs

Students from low-income backgrounds comprise almost a third of undergraduate enrollment, but most colleges are designed poorly to support these students. This misalignment between the characteristics and needs of students from low-income backgrounds and the typical college environment leads to disproportionately low matriculation, persistence, and graduation rates for this population. This literature review provides an overview of common challenges faced by students from low-income backgrounds and characteristics of these students (including strengths). This literature review concludes by providing an overview of some student-focused initiatives from orientation, first-year seminars, peer mentoring, and others that can help mitigate these challenges and improve …

Use Of Eagala Model–Based Psychotherapy For Youth Psychological Disorders, Kimberley D. Ryan, Tammy L.B. Mckenzie

People and Animals: The International Journal of Research and Practice

Global youth psychological disorder prevalence has increased exponentially. Therefore, a drastic increase in mental health care utilization is expected. Since traditional approaches to the treatment of adult psychological disorders are ineffective with youth, alternative approaches to treatment of youth psychological disorders must be considered. One such approach is equine assisted psychotherapy (EAP), a person-centered, experiential approach using horses during the treatment of psychological disorders and the basis of the Equine Assisted Growth and Learning Association (Eagala) model–based programming. This article presents the quantitative research findings of a study investigating the effectiveness of the Eagala model–based EAP programming in the treatment …

Introducing Therapy Dog Programs Within Organizational Settings: A Scoping Review Of Implementation Processes And Practices, Laura Mundy, Carlie Driscoll, Janette Young

People and Animals: The International Journal of Research and Practice

Organizations are introducing therapy dog programs at a growing rate. Standards and guidelines for including therapy dogs in programs with people are also being developed and made available to those implementing such programs. How organizations are implementing programs, how they are aligning with available standards, and the presence of any barriers and facilitators to their implementation has been largely unexplored. Therefore, the aim of our review was to summarize the literature available on the implementation of therapy dog programs within organizational settings. Furthermore, we aimed to summarize available descriptions of program practices and their alignment with best practice guidelines, and …

President's Message, Gregory P. Guerra D.D.S.

New Orleans Dental Association News

Monthly update from Dr. Greg Guerra, D.D.S. with details of recent events, upcoming activities and news from the association.

Noda News September 2025

New Orleans Dental Association News

New Orleans Dental Association (NODA) News includes regular columns with regional news impacting the New Orleans membership including: columns from the President and Executive Director, feature articles relating to the field of dentistry, association events and upcoming activities, component news, continuing education opportunities, and classifieds.

Retracted: Automated Diagnosis Of Orthopedic Patients With Vertebral Column Disorders Using Advanced Mathematical Modeling, Chen Feng, Zhenhua Sun, Xinheng Dai, Hongli Wen

Iraqi Journal for Computer Science and Mathematics

Orthopedic disorders are multifactorial, making accurate diagnosis a significant challenge. This study introduces a novel method for classifying patients into three categories—normal, disc herniation, and spondylolisthesis—using biomechanical parameters derived from diagnostic datasets. To enhance classification accuracy, two meta-heuristic optimization algorithms—the Zebra Optimization Algorithm (ZOA) and Chaos Game Optimization (CGO)—are integrated with Adaptive Boosting (ADAC) and Light Gradient Boosting Machine (LGBM) classifiers. The experimental results reveal that ZOA significantly improves model performance, particularly in the ADAC classifier. The baseline ADAC model achieved a mean accuracy of 0.916, which increased to 0.952 after optimization with ZOA (referred to as the ADZO model). …

Deep Learning And Texture Analysis For Lung And Colon Cancer Predicting, Mohamed M. Neamah, Laith A. Al-Ani, Loay E. George

Iraqi Journal for Computer Science and Mathematics

Cancer remains a major cause of death worldwide, with lung and colon (LC) cancers presenting significant challenges to healthcare systems due to their high rates of occurrence and mortality. Early and precise diagnosis is essential for better patient outcomes. This research utilizes recent advances in deep learning (DL) and texture analysis (TA) to create a reliable predictive model for detecting LC cancer through histopathological images (HPI). A hybrid method is proposed that combines a gray-level co-occurrence matrix (GLCM) for extracting texture features with an adaptive modified EfficientNet B2 model (AM-EfficientNet B2) for deep feature extraction. These features are used to …

Retracted: Software Engineering-Oriented Text Generation And Analysis Using Gpt-2, Nadia Mahmood Hussien, Aumama Mohammed Farhan, Yasmin Makki Mohialden, Qabas Abdal Zahraa Jabbar, Shahbaa Mohammed Abdulmaged, Asmaa Hatem Arif

Iraqi Journal for Computer Science and Mathematics

The research focuses on developing an improved system for generating and analyzing text by combining GPT-2, LSTM, and CNN models to address challenges in automated content creation for software engineering tasks. The system targets specific applications such as requirements engineering, software documentation, and code comment generation. It generates 150-token text samples based on over 100 user-provided prompts. These generated texts are first processed through an LSTM layer to capture semantic meaning, then passed through a CNN module to extract syntactic and semantic features. All outputs are stored in structured CSV files to support future analysis. Evaluation results demonstrate positive impacts …

Anomaly Detection Agent Empowered By Quantum Ai And Machine Learning, Fuming Guo

Defensive Publications Series

The present disclosure relates to an advanced anomaly detection system for high-volume log data that incorporates a dual-agent architecture consisting of a Detector Agent and an Evaluator Agent. The Detector Agent is configured to identify anomalies using hybrid quantum-classical processing techniques, including quantum-enhanced machine learning methods such as a Hamiltonian Quantum Generative Autoencoder and advanced transformer models. The Evaluator Agent critiques the outputs from the Detector Agent, providing continuous feedback for iterative improvement. This feedback loop allows for dynamic adjustments to enhance detection accuracy. Additionally, the system integrates with Splunk for real-time log data ingestion and employs a Large Language …

2024-2025 Annual Report | Institutional Effectiveness, Program Review Subcommittee, Tracey Matthews

Institutional Effectiveness Committee Minutes

No abstract provided.

Contemporary Theology, Joseph Okello

Syllabi

No abstract provided.

Matthew, David Bauer

Syllabi

No abstract provided.

Counseling Theories And Techniques, Stephen Stratton

Syllabi

No abstract provided.

Christian Ethics, James Thobaben

Syllabi

No abstract provided.

Gospel Of John, Joseph Dongell

Syllabi

No abstract provided.