Digital Commons Network^™

Sustainability Impact Of Online Consumption Behavior From The Perspective Of Digital Empowerment: Indetermsoft Set With Application, Tao Shen, Chunmei Mao

Neutrosophic Sets and Systems

No abstract provided.

The Definite Integrals Of 2- Refined Neutrosophic Functions And Its Properties, Yaser Ahmad Alhasan, Mohamed Elghazali Ali Mohieldin Mohamed, Raja Abdullah Abdulfatah

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Wald Distribution With Applications To Reliability Analysis, Afrah Al Bossly, Adnan Amin

Neutrosophic Sets and Systems

No abstract provided.

Performance Evaluation Of Human Resource Management In Power Enterprises Using Multi-Criteria Decision-Making Methodology And Treesoft Set, Qingheng Sun

Neutrosophic Sets and Systems

No abstract provided.

Advanced Combined Multi-Criteria Decision-Making Methodology With Indetermsoft Set For Comprehensive Analysis Of Blended Physical Education Teaching In Colleges Framework, Xueda Yang

Neutrosophic Sets and Systems

No abstract provided.

, Evaluation Of The Implementation Quality Of The Augmented Reality Project At The National University Of Chimborazo, Based On The Neutrosophic Servqual Model, José Luis Erazo-Parra, Christiam Xavier Nuñez-Zavala, Lisbeth Reales-Chacón, Diego Marcelo Reina-Haro, Miguel Ángel Duque-Vaca, Bladimir Enrique Urgiles-Rodriguez, Andrea Car-Olina Peñafiel-Luna, Paúl Adrián Córdova

Neutrosophic Sets and Systems

No abstract provided.

Decision Making Methodology To Assess Big Data Professional Education In Vocational And Technical Colleges: Forest Hypersoft Set Approach And Implementation, Xiaohua Li

Neutrosophic Sets and Systems

No abstract provided.

Forest Hypersoft Sets For Quality Measurement Of Preschool Education In The New Era Utilizing Mcdm Approach And Data Analytics, Yanzi Zhang, Leqiang Zou

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Critic Mcdm For Prosthesis Rehabilitation, Its Applications And Technologies, Huda E. Khalid, Ibrahim Bahjat Ibrahim, A. A. Salama, Ahmed K. Essa, Maher Noorlden Saaed, Muhammad Mustaffa Hussein

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Approach For Opponent Analysis And Game Strategy Formulation In College Volleyball, Bogang Huang

Neutrosophic Sets and Systems

No abstract provided.

Statistical Characterization Of The Neutrosophic Moyal Distribution, Mansour F.Yassen, Adnan Amin

Neutrosophic Sets and Systems

No abstract provided.

Superhypersoft Set With Mcdm Methods For Assessment Of Ideological And Political Education In Colleges And Universities Under The Background Of Big Data, Junshi Yu

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 82,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Advancing Precision And Autonomy In Agriculture And Medical Imaging Through Ai And Computer Visions, Tan-Hanh Pham

Theses and Dissertations

Deep learning has revolutionized numerous fields by enhancing precision, automation, and decision-making capabilities. This dissertation explores its applications in agriculture and medical image processing, introducing novel methodologies to improve accuracy and efficiency in these domains. These fields hold critical societal importance -- agriculture underpins global food security and sustainability, while medical imaging drives advancements in diagnostics and personalized healthcare, both benefiting significantly from data-driven innovations. In agriculture, deep learning is applied to precision spray systems through droplet analysis. Specifically, a generative model is designed to create synthetic droplet images, addressing the challenge of limited training samples, which are expensive …

Effects & Buffering Of Ai-Induced Career Insecurity Among University Students, Skyler Grunberg

Theses and Dissertations

This research examines how artificial intelligence (AI) development psychologically impacts students' perception of their future careers. Adopting a cross-sectional design, 137 university students were surveyed to investigate the relationship between AI-induced future career insecurity, well-being, work engagement, and career decision-making self- efficacy (CDMSE). AI-induced career insecurity (AICI) was found to be significantly below the neutral midpoint in university students. Confirmatory factor analysis was used to assess the item structure of AICI, finding a hierarchical model incorporating both core and wording factors was best fit. Findings indicate AICI is significantly negatively related to well-being, work engagement, and CDMSE. Though insignificant, resilience …

Autonomous Defect Detection In Additive Manufacturing, John Samuel Poindexter Iv

Theses and Dissertations

Additive manufacturing (AM) is the process of creating a product by applying layers of material to build up to the final product. AM has revolutionized the field of manufacturing and has allowed more complex products to be manufactured at reasonable cost, quicker manufacturing time, and optimized material usage. Traditional forms of manufacturing were based on subtractive manufacturing, where by a product would be created by removing material from its source. AM is a new manufacturing process and faces significant challenges when it comes to manufacturing due to defects. Defects can vary from type and severity and can overall weaken or …

Particle-Based High-Fidelity Interface Tracking Algorithms, Taiyuan Zhang

Dartmouth College Master’s Theses

Accurate interface tracking is essential in simulating multiphase flows, material deformation, and other physical phenomena involving evolving geometries. In this thesis, we present an adaptive dual-particle representation for high-fidelity interface tracking. By combining two types of particles—feature particles and sample particles—we construct an implicit representation that captures fine geometric details. This representation is evolved explicitly using a velocity flow field, enabling accurate and adaptive tracking of dynamic interfaces. We further propose a particle level set method on the flow map, leveraging the state-of-the-art accuracy of particle-based advection. By integrating this approach with the particle level set framework, we achieve fourth-order …

Math Course Placement Models At Csbsju Using Data Analysis, Josephine Jackson

Celebrating Scholarship and Creativity Day (2018-)

Many majors at the College of Saint Benedict and Saint John’s University (CSBSJU) require students to complete a course in calculus or statistics, however incoming students have various levels of preparation for these courses. This research investigates strategies for predicting student success in these courses and potential recommendations for remediation courses, e.g., pre-calculus or pre-statistics. The research uses data analysis to make this determination based on their previous math coursework and other data incoming students provide. Trends for success in math classes at CSBSJU have previously been based on outdated and inequitable methods. This project identifies correlations between prior coursework …

Offering A Manufacturing Curriculum Online To Rural Schools: The Case Of The Nimm Project, Raymond A. Dixon, Farjahan Shawon

Journal of Research in Technical Careers

This case study examined the extent to which the two implemented manufacturing pathways of the NIMM project successfully facilitated access and engaged high school students from rural regions in two manufacturing curricula. The program consisted of two tracks or career pathways for manufacturing technicians: Mechanical CADD technician and Electro-Mechanical technician. The Mechanical CADD program was delivered online, and the Electro-Mechanical program was delivered online and through a summer skills academy. Findings include, students showed less preference for CTE manufacturing courses in an online asynchronous format, CTE instructors need to be trained to teach online, proper IT infrastructure is needed for …

Passive Dna Transfer To Fidget Blasters Stored In Cars, Rachel Chan

Student Theses

This study evaluated the amount of detectable DNA accumulated on clean plastic fidget blasters, used to simulate firearms, over a seven-day storage period inside a vehicle. Twelve volunteers were asked to place one fidget blaster each in the glove box and underneath the driver’s seat from behind. After the seven-day period, the volunteers returned the fidget blasters, donated a reference sample, and filled out a questionnaire. The grip, slide, and trigger were swabbed for DNA and extracted. The extracts were quantified to determine the concentration of human DNA, and if the samples met the PCR threshold to be genotyped. The …

Culture And Context: How Frames Of Teaching And Of Learning Mathematics Form And Change For Graduate Student Instructors, Johan Benedict Arroyo Cristobal

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Why do instructors teach the way that they do? This question is key in understanding how and why asset-based or deficit-based practices are enacted in the classroom. In consequence, this question also gives insight into how the environment where students learn is shaped. Mathematics education research, in particular, has been concerned with how instructors respond to students’ contributions in the classroom and how these ways of responding can (dis)empower students.

One way to answer this question is to understand how instructors frame their own teaching and their students’ learning. Frames are mental constructs which help individuals filter details, interpret information, …

Considerations And Techniques For Producing Urban Tree Canopy Maps Using Freely Available And Accessible Methods, Hugh Reed Ellerman

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Urban forests are valued as green infrastructure for the variety of benefits they provide across ecological, social, public health, and economic domains. To understand the distribution of trees, maps are required. Many methods of mapping tree cover use expensive and data-intensive datasets such as hyperspectral and LiDAR imagery, making these methods inaccessible to municipal forest managers. Variations in the modelling approaches of existing, freely available methods are not addressed in sufficient enough detail to understand the trade-offs implicit in these variations. Further, characteristics of urban tree canopy mapping (high spatial resolution imagery, heterogeneous urban environments, the importance of the tree …

Emergent Models Of Place-Based Philanthropy: A Review Of Six Foundations’ Initiatives, Douglas Easterling

The Foundation Review

Traditional approaches to place-based philanthropy, including comprehensive community initiatives (CCIs), are characterized by four design features: 1) a centralized stakeholder group that serves as the primary nexus for the foundation’s engagement; 2) an extensive planning process on the front end; 3) the planning group’s initial strategy serves as the basis for the foundation’s investments throughout the initiative; and 4) foundation staff play a largely transactional role in reviewing proposals, awarding grants and monitoring progress. This linear, structured approach to community change has had only limited success over 30 years of foundation practice.

In response, a growing number of foundations have …

College Student Relationship Between Adverse Childhood Experiences And Resilience Through The Eyes Of Transition, Andrew Dies, Juliann Sergi Mcbrayer, Pamela Wells, Antonio P. Gutierrez De Blume, Summer Pannell, Mary Josephine Carney

Journal of Higher Education & Student Affairs

This research focused on the role that Adverse Childhood Experiences (ACEs) play in the lives of today’s college students and how protective factors may increase a student’s level of resilience. This study examined participants’ levels of resilience, what ACEs they experienced prior to entering college, and what role protective factors played in mitigating the impacts of ACEs on resilience levels. Results indicated that older students scored higher in resilience than their younger counterparts. The findings indicated protective factors coupled with resilience play a role in the success of college students. Implications for practice suggest institutions of higher education should examine …

Spatial Variaiton In Host-Associated Microbiota, Daniel Malagon

All Dissertations

Many organisms rely upon the internal and/or external microbial communities they harbor. Microbial communities which depend upon other organisms for survival are known as host-associated (HA) microbial communities. HA microbial communities differ in diversity and composition from surrounding environmental microbiota and are generally less diverse than surrounding soil microbiomes. Although distinct bacterial profiles exist between host and environment, microbial scale dispersal often links the two. For this reason, host and environmental microbial communities can be correlated (e.g., dominant taxa in HA microbiota are dominant in the host microenvironment or vice versa). Eukaryotic hosts act as islands for HA microbiota. Unlike …

Tfr 17.1 Full Issue

The Foundation Review

No abstract provided.

Biochar And Manure Levels: Impact On Selected Soil Hydro-Physical Parameters And Sorghum Canopy Temperature, Catana Faison

All Theses

Climate-smart agriculture (CSA) enhances crop yields and maintains healthy soils while also contributing to strategies that mitigate climate change. One of the main aspects of CSA is its impact on soil and environmental conditions, such as structural stability, moisture retention, temperature regulation, and canopy development, which are fundamental to sustainable crop production and land management. Soil organic amendments, e.g., biochar, and chicken and dairy manure applications, substantially improve soil hydrological properties and structure. This thesis reports on the impact of three organic amendment types and rates on selected soil hydrological and physical properties, including water holding capacity, heat capacity, aggregate …

The Effects Of Loving-Kindness Meditation (Lkm) On Relationship Satisfaction In Couple Therapy, Ruimeng Gao

Electronic Theses and Dissertations

This thesis explores the integration of loving-kindness meditation (LKM) into couple therapy sessions and its impact on relationship satisfaction. Meditation, historically rooted in religious practices, has increasingly been adopted in Western therapeutic contexts due to its demonstrated benefits for mental health and interpersonal well-being. Although mindfulness-based interventions have gained popularity in psychotherapy, research specifically examining the use of LKM in couple therapy remains limited. This study investigates whether incorporating LKM into therapy sessions enhances relationship satisfaction compared to standard therapy alone. Couples were randomly assigned to either a control group, which received standard therapy, or an experimental group, which practiced …

Bridging The Digital Skills Gap: Positive Leadership In The Aerospace Industry 4.0, James Richard Robinson Ii

Electronic Theses and Dissertations

This qualitative study explores how employees and leaders in a major aerospace manufacturing organization experience digital transformation in the context of Industry 4.0. As emerging technologies reshape manufacturing processes, organizations face a growing digital skills gap, particularly across a multigenerational workforce. This research focuses on how generational differences influence digital adaptation and how leadership approaches either support or hinder that process. Guided by the diffusion of innovations theory, the study involved semistructured interviews with 15 participants from four generational cohorts, representing IT, engineering, manufacturing, and operations roles. Findings reveal that trust, leadership style, and tailored training significantly shape how individuals …

Teacher Perspectives On A Teacher Mentorship Program And Its Influence On A Sense Of Belonging And Professional Growth., Hyun Kang Wilson

Electronic Theses and Dissertations

Teacher retention is crisis in the U.S. and globally. Literature suggests the first five years of teaching is a crucial time range to determine if teachers stay in the profession or quit. Teachers will leave the profession due to lack of support, poor school culture, feeling isolated, high work-related stress, poor compensation, and challenging student behaviors. Research suggests that new teacher mentorship programs are effective in addressing teacher support, ultimately improving teacher retention. Literature also suggests that employees are more likely to stay with a company if they feel belonged. To explore the further into a new teacher mentorship program …