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Articles 43261 - 43290 of 1517436
Full-Text Articles in Entire DC Network
Sme Cyber Resilience State Of The Sector 2025, Hazel Murray, Gillian O'Carroll, Aoibheann Brangan, Jason Holland, Stephanie Chevanne Wallace, Miriam Curtain, Glenda Deveney
Sme Cyber Resilience State Of The Sector 2025, Hazel Murray, Gillian O'Carroll, Aoibheann Brangan, Jason Holland, Stephanie Chevanne Wallace, Miriam Curtain, Glenda Deveney
Department of Computer Science Publications
Ireland's small and medium enterprises (SMEs) face a critical cyber resilience gap. SMEs account for 99.8% of all enterprises in Ireland and employ over 2.29 million people, representing 67.9% of total employment (based on the latest CSO 2022 figures). This cyber resilience assessment reveals that the majority of SMEs remain underprepared for modern cyber threats.
Seagrass Carbon Standing Stock In The Northern Gulf Of Mexico: The Role Of Seagrass Beds In Mississippi As Potential Blue Carbon Sinks, Devan Hildebrand
Seagrass Carbon Standing Stock In The Northern Gulf Of Mexico: The Role Of Seagrass Beds In Mississippi As Potential Blue Carbon Sinks, Devan Hildebrand
Master's Theses
Organic carbon stored in marine ecosystems is known as blue carbon. Seagrass beds have the ability to contribute to global blue carbon standing stocks through the uptake and sequestration of carbon from the water column. Through coastal management and conservation best practices, blue carbon habitats have the potential to help mitigate the effects of climate change. Although widely studied, knowledge gaps exist on the sediment carbon standing stock of seagrasses. I aim to better understand how persistent seagrass meadows surrounding barrier islands in the northcentral Gulf of Mexico contribute to long-term blue carbon standing stocks. Subaqueous sediment cores were collected …
Hyaluronic Acid Loaded With Aloe Vera-Derived Extracellular Vesicles: A New Bioactive Approach For Fibrotic Scarring, Maria Camila Ceballos Santa
Hyaluronic Acid Loaded With Aloe Vera-Derived Extracellular Vesicles: A New Bioactive Approach For Fibrotic Scarring, Maria Camila Ceballos Santa
Theses
Disruptions in wound healing can result in pathological outcomes ranging from chronic nonhealing wounds to excessive fibrotic scarring. Hypertrophic scars and keloids are hallmarks of this dysregulation, characterized by abnormal collagen deposition, persistent myofibroblast activation, and disorganized extracellular matrix (ECM) remodeling. Chronic inflammation and oxidative stress play central roles by increasing reactive oxygen species (ROS), which damage essential macromolecules and sustain pro-inflammatory signaling, while promoting the transdifferentiation of fibroblasts into myofibroblasts and the excessive production of ECM proteins, such as collagen and α-smooth muscle actin (α-SMA). This fibrotic cascade leads to tissue stiffness, contractility, and disfigurement, affecting the well-being of …
Unmasking Corruption And Bribery Using Predictive Analytics, Maha Salem
Unmasking Corruption And Bribery Using Predictive Analytics, Maha Salem
Theses
The initiative (Unmasking Corruption and Bribery Using Predictive Analytics) aims to identify employees in government sectors who commit corruption and bribery by addressing issues such as the lack of transparency, fairness, equality, and public trust, as well as weakened loyalty and poor reputation. This project focuses on data analytics and predictive modeling to detect suspicious or high-risk employee behaviors related to corruption and bribery. The main objective is to reduce these unethical activities in government sectors, strengthen integrity, and promote transparency and public trust through predictive capabilities. It also seeks to raise awareness about how serious and harmful these crimes …
Predictive Maintenance For It Equipment Using Machine Learning Models, Rashed Khalid Alshirawi
Predictive Maintenance For It Equipment Using Machine Learning Models, Rashed Khalid Alshirawi
Theses
Predictive maintenance was recently introduced as a paradigm shift in the field of smart manufacturing, and it allows organizations to predict equipment failures and streamline maintenance planning based on the data-driven insights. The present work addresses the concept of the implementation of a decision tree-based predictive maintenance model based on AI4I 2020 Predictive Maintenance Dataset, a simulated environment of an actual industry through sensor data including temperature, torque, rotational velocity, and toolwear. The study uses a quantitative approach that is based on positivism philosophy, which is the focus on objectivity, empirical validation, and statistical testing of the model performance. Synthetic …
Predicting Inmate Overcrowding To Improve Facility Management, Mayed Ali Alameri
Predicting Inmate Overcrowding To Improve Facility Management, Mayed Ali Alameri
Theses
Overcrowding is a major challenge to correction systems because the conventional forecasting techniques are inaccurate and inadequate in most cases. This paper will solve this by constructing and testing a machine learning-based model to predict facility-level overcrowding. With the use of the XGBoost Regressor model on a dataset comprising of U.S. correctional facilities, the research identified key structural drivers but showed that the static facility attributes alone have limited predictive power (r-square approx 0.18) The discussion shows that overcrowding is non-linear, and a complicated problem not confined to the facility characteristics but to the larger, non-measurable regional influences, of which …
Strainx : A Technical Exploration Of Cinema4d'S Native Particle System In An Experimental Title Sequence, Farah Ahmad
Strainx : A Technical Exploration Of Cinema4d'S Native Particle System In An Experimental Title Sequence, Farah Ahmad
Theses
This paper presents a practice-based investigation into the capabilities of Cinema 4D’s native particle system through the creation of an experimental title sequence titled StrainX. The project was conceived as a technical and aesthetic exploration, prioritizing abstraction, form, and motion over narrative content. Through iterative testing and simulation, the study examines how Cinema 4D’s built-in particle, geometry, and material tools can generate visually complex results without relying on third-party plugins, such as X-Particles. All assets, simulations, and textures were developed natively within Cinema 4D, allowing for a unified and efficient workflow. The methodology emphasizes procedural experimentation, simulation caching using Alembic …
Spotted Seal Coastal Haul Out Behavior In Arctic Alaska, Maeghan Connor
Spotted Seal Coastal Haul Out Behavior In Arctic Alaska, Maeghan Connor
Biological Sciences
Hauling out - the act of exiting the water to rest, molt, breed, and pup on solid surfaces - is a key behavior of pinnipeds worldwide. Unlike other ice seals (i.e., ice-associated phocid species), spotted seals (Phoca largha) in Alaska frequently use terrestrial substrates to haul out during the summer and fall open-water period in the Chukchi and Beaufort Seas. Despite being a core aspect of spotted seal ecology, their terrestrial haul out behavior remains understudied. To address this, we analyzed data collected from 2020 - 2022 near two known haul out sites in Dease Inlet, Alaska, including time-lapse camera …
The Spoon Theory & Autoimmune Diseases, Karen Davis Rdh, Bsdh
The Spoon Theory & Autoimmune Diseases, Karen Davis Rdh, Bsdh
Metro Denver Dental Society Articulator Magazine
In this article, Karen Davis, RDH, BSDH, uses the Spoon Theory to illustrate how the hidden challenges of living with an autoimmune disease or chronic illness can impact oral health, treatment tolerance and daily hygiene routines. She offers practical strategies for dental teams to better support “Spoonie” patients with compassionate, customized care.
A Gis Method To Analyze Trajectories Of Gross Changes Through Multiple Temporal Resolutions With An Application To Brazilian Soybean Cultivation, Thomas Mumuni Bilintoh, Robert Gilmore Pontius, Gustavo Oliveira, Julia Shimbo
A Gis Method To Analyze Trajectories Of Gross Changes Through Multiple Temporal Resolutions With An Application To Brazilian Soybean Cultivation, Thomas Mumuni Bilintoh, Robert Gilmore Pontius, Gustavo Oliveira, Julia Shimbo
Geography
Our manuscript presents Trajectory Analysis, which is a novel method to characterize patterns of gross changes during a time series of raster maps. This manuscript is our first article to elaborate on concepts and features of Trajectory Analysis that are necessary to analyze more than two time intervals. The method computes up to eight trajectories and three components of change: Quantity, Exchange, and Alternation. Quantity is the absolute net change between the two time points that bound the temporal extent. Exchange is the additional gross change between the same two time points. Alternation is the additional gross change that derives …
Extension Of Mcgdm To New Type Of Complex Pythagorean Neutrosophic Set Applied To Soft Set Via Weighted Score Function, Murugan Palanikumar, Nasreen Kausar, Brikena Vrioni, Ervin Hoxha
Extension Of Mcgdm To New Type Of Complex Pythagorean Neutrosophic Set Applied To Soft Set Via Weighted Score Function, Murugan Palanikumar, Nasreen Kausar, Brikena Vrioni, Ervin Hoxha
Neutrosophic Sets and Systems
No abstract provided.
A Neutrosophic Mathematical Model For Evaluating Innovation Modes In Higher Arts Education, Lechen Dong, Yao Wu, Hao Chen
A Neutrosophic Mathematical Model For Evaluating Innovation Modes In Higher Arts Education, Lechen Dong, Yao Wu, Hao Chen
Neutrosophic Sets and Systems
No abstract provided.
Introducing The Neutrosophic Reflexivity Operator: Modeling Recursive Truth Dynamics In Intelligent Teaching Of Journalism And Communication Curricula Under Ai-Mediated Ambiguity, Dawen Xu
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Information Gain For Decision Tree Construction: Application To Teaching Performance Of Tennis Instructors In Sports Universities, Bo Pang
Neutrosophic Sets and Systems
No abstract provided.
A Hybrid Pso And Kruskal Approach For Neutrosophic Trapezoidal Minimum Spanning Tree Problem, Kalyan Adhikary, Prashnatita Pal, Jayanta Poray
A Hybrid Pso And Kruskal Approach For Neutrosophic Trapezoidal Minimum Spanning Tree Problem, Kalyan Adhikary, Prashnatita Pal, Jayanta Poray
Neutrosophic Sets and Systems
No abstract provided.
A Bipolar Pythagorean Neutrosophic Algebraic Lattice Model With Hybrid Entropy Weighting For Credit Risk Evaluation For Agricultural Smes Supply Chain Finance, Jianbing Yin
Neutrosophic Sets and Systems
No abstract provided.
Application Of Complex Neutrosophic Sets To Real-World Decision Making Problems, R. Rajalakshmi, M. Gayathri Lakshmi, Mana Donganont, Prasanta Raut, Bhabani S. Mohanty
Application Of Complex Neutrosophic Sets To Real-World Decision Making Problems, R. Rajalakshmi, M. Gayathri Lakshmi, Mana Donganont, Prasanta Raut, Bhabani S. Mohanty
Neutrosophic Sets and Systems
No abstract provided.
A Neutrosophic Entropy-Based Statistical Model For Uncertainty Quantification In Mixed-Type Linguistic Data: Application To University Korean Language Teaching Management Innovation Evaluation, Fei Fei
Neutrosophic Sets and Systems
No abstract provided.
Construction And Analysis Of Neutrosophic Regression Models Under Triple Uncertainty (T, I, F): A Statistical Framework For Modeling Learning Outcomes In College Japanese Classrooms, Yifan Liang
Neutrosophic Sets and Systems
No abstract provided.
Coefficient Bounds And Fekete-Szego Inequalities For A Subclass Of Bi-Univalent Functions Defined Via Ρ Neutrosophic-Poisson Distribution, Abdullah Alsoboh, Mustafa A. Sabri, Hasan Almutairi, Yousef Al-Qudah, Ala Amourah, Abdullrahman A. Al-Maqbali
Coefficient Bounds And Fekete-Szego Inequalities For A Subclass Of Bi-Univalent Functions Defined Via Ρ Neutrosophic-Poisson Distribution, Abdullah Alsoboh, Mustafa A. Sabri, Hasan Almutairi, Yousef Al-Qudah, Ala Amourah, Abdullrahman A. Al-Maqbali
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Latent Semantic Uncertainty Mapping For Evaluating Interpretive Vocabulary In University Fine Art Classroom Teaching Analysis, Huiping Shang
Neutrosophic Sets and Systems
No abstract provided.
A Neutrosophic Extension Of The Inverse Gamma Distribution: Properties And Applications, Fuad S. Alduais
A Neutrosophic Extension Of The Inverse Gamma Distribution: Properties And Applications, Fuad S. Alduais
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Hyper-Distributions For Modeling Teaching Reform And Practice Efficiency Analysis Of University Thought And Political Curriculum In Digital Education Environments, Min Wang, Zhenguo Shang
Neutrosophic Hyper-Distributions For Modeling Teaching Reform And Practice Efficiency Analysis Of University Thought And Political Curriculum In Digital Education Environments, Min Wang, Zhenguo Shang
Neutrosophic Sets and Systems
No abstract provided.
Early Detection Of Epidemics Using Generalized Additive Models And Hidden Markov Models: A Neutrosophic Statistical Approach With Real-Time Health Data, Ammar Kuti Nasser
Early Detection Of Epidemics Using Generalized Additive Models And Hidden Markov Models: A Neutrosophic Statistical Approach With Real-Time Health Data, Ammar Kuti Nasser
Neutrosophic Sets and Systems
No abstract provided.
N-Edu: An Innovative Neutrosophic Logic Construction For Digital Transformation Effectiveness Of College Ideological And Political Education With Mathematical Foundations And Applied Learning Dynamics, Ye Chen
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Triplet Growth Model For Moral-Linguistic Competence In College English Teaching Reform Under Moral Education And Talent Cultivation, Jianguo Liu, Ruohan Liu
Neutrosophic Triplet Growth Model For Moral-Linguistic Competence In College English Teaching Reform Under Moral Education And Talent Cultivation, Jianguo Liu, Ruohan Liu
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Truncated Normal Distribution For Renewable Energy Forecasting And Optimization, Afrah Al Bossly, Zahid Khan
Neutrosophic Truncated Normal Distribution For Renewable Energy Forecasting And Optimization, Afrah Al Bossly, Zahid Khan
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Modeling And Redesign Effects Analysis Of Abandoned Buildings In The Context Of Urban Renewal: A Spatial Probabilistic Framework For Urban Hazard Risk, Zhiyong Tian
Neutrosophic Sets and Systems
No abstract provided.
Integrating Neutrosophic Logic With Fuzzy Inference Systems: A Comprehensive Survey On Enhancing Decision-Making Under Uncertainty, A.A. Salama, Huda E. Khalid, Ahmed K. Essa, Ibrahim Yasser, Aya A. . Abd El-Khalek
Integrating Neutrosophic Logic With Fuzzy Inference Systems: A Comprehensive Survey On Enhancing Decision-Making Under Uncertainty, A.A. Salama, Huda E. Khalid, Ahmed K. Essa, Ibrahim Yasser, Aya A. . Abd El-Khalek
Neutrosophic Sets and Systems
No abstract provided.
Neutrosophic Cubic Fuzzy Set For Analyzing The Positive Psychological Quality Importance During Vocal Performance Process, Jie Zhu
Neutrosophic Sets and Systems
No abstract provided.