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Articles 24541 - 24570 of 27150
Full-Text Articles in Entire DC Network
Mechanics And Dimensions Of Divine Forgiveness, Ransford Danson, Kenneth Appiah Kubi
Mechanics And Dimensions Of Divine Forgiveness, Ransford Danson, Kenneth Appiah Kubi
Journal of Adventist Mission Studies
Central to Christianity is the doctrine of forgiveness, yet no unified understanding or coherent concept of forgiveness exists in Christian discourse. Understandings of the process of forgiveness invariably depend on denominational traditions, beliefs, values, and practices (Worthington et al. 2019). A point of convergence is the view that forgiveness relates to the physical or psychological harm or wrongdoing inflicted by one person on another (Słowikowski 2020:56). There is also agreement that forgiveness is of different types: interpersonal, intrapersonal, and God-to-human (Fincham 2022; Maranges and Fincham 2024; Shah et al. 2024). The first two types constitute human (earthly) forgiveness, and the …
Zero-Shot Cross-Lingual Pos Tagging For Filipino, Jimson Paulo Layacan, Isaiah Edri W. Flores, Katrina Bernice M. Tan, Ma. Regina Justina Estuar, Jann Railey E. Montalan, Marlene M. De Leon
Zero-Shot Cross-Lingual Pos Tagging For Filipino, Jimson Paulo Layacan, Isaiah Edri W. Flores, Katrina Bernice M. Tan, Ma. Regina Justina Estuar, Jann Railey E. Montalan, Marlene M. De Leon
Department of Information Systems & Computer Science Faculty Publications
Supervised learning approaches in NLP, exemplified by POS tagging, rely heavily on the presence of large amounts of annotated data. However, acquiring such data often requires significant amount of resources and incurs high costs. In this work, we explore zero-shot cross-lingual transfer learning to address data scarcity issues in Filipino POS tagging, particularly focusing on optimizing source language selection. Our zero-shot approach demonstrates superior performance compared to previous studies, with top-performing fine-tuned PLMs achieving F1 scores as high as 79.10%. The analysis reveals moderate correlations between cross-lingual transfer performance and specific linguistic distances–featural, inventory, and syntactic–suggesting that source languages with …
Evaluation Of A Blockchain-Based Prescription System And Data Source For National Research And Development, Sean Chan, Aedin Clay, Lance Tan, Christian E. Pulmano
Evaluation Of A Blockchain-Based Prescription System And Data Source For National Research And Development, Sean Chan, Aedin Clay, Lance Tan, Christian E. Pulmano
Department of Information Systems & Computer Science Faculty Publications
In the Philippines, healthcare providers, government agencies, and research institutions use data from patient prescriptions to generate reports for health planning and decision-making. However, current e-prescription systems have vulnerabilities, including erroneous information, hacking attempts, a single point of failure, and medical fraud. In addition to affecting the quality of data reporting, these issues violate a patient's rights to data privacy. One promising solution is a blockchain-based prescription system. Blockchain's immutable ledger accurately traces medical fraud and erroneous information, while its decentralized nature reduces the impact of failures. Performance is an important consideration, as healthcare systems need to be scalable and …
Gender Differences In Achievement, Behavior, And Stem Interest Among Learners Using Minecraft, Maricel A. Esclamado, Ma. Mercedes T. Rodrigo
Gender Differences In Achievement, Behavior, And Stem Interest Among Learners Using Minecraft, Maricel A. Esclamado, Ma. Mercedes T. Rodrigo
Department of Information Systems & Computer Science Faculty Publications
In this paper, we analyze how male and female learners differ in their in-game behaviors, knowledge assessment outcomes, and STEM interest using the What-If Hypothetical Implementations using Minecraft (WHIMC). We also investigate how male and female learners’ self-reported levels of frustration and boredom relate to these outcomes. We examine in-game data, out-of-game assessment data, self-reported frustration and boredom, and results of the STEM interest questionnaire (SIQ) from 175 Grade 8 learners from a school in the Philippines. We found that male learners tend to explore more than female learners. Both genders learn more through more exploration, making more observations, and …
Examining Public Responses To Transgressions Of Ceos On Youtube: Social And Semantic Network Analysis, Jin A. Choi, Sejung Park
Examining Public Responses To Transgressions Of Ceos On Youtube: Social And Semantic Network Analysis, Jin A. Choi, Sejung Park
College of Communication and Media Scholarship and Creative Works
In what was labeled the "nut rage" incident, the vice president of Korean Air, Hyun-Ah Cho (Heather Cho), demonstrated behavior that exemplifies corporate transgression and deviation from societal moral standards toward a flight attendant aboard a flight. Such behavior instigated the public to express negative sentiment on various social media platforms. This study investigates word-of-mouth network on YouTube in response to the crisis, patterns of co-commenting activities across selected YouTube videos, as well as public responses to the incident by employing social and semantic network analysis. A total of 512 YouTube videos featuring the crisis from December 8, 2014 through …
A Trap For Local Governments: Legislative Exactions After Sheetz V. County Of El Dorado, Andrew Klemm
A Trap For Local Governments: Legislative Exactions After Sheetz V. County Of El Dorado, Andrew Klemm
Case Western Reserve Law Review
No abstract provided.
Online Learning For Adaptive Control : Stable Learning And Control For Aerospace And Robotics, Jacob G. Elkins
Online Learning For Adaptive Control : Stable Learning And Control For Aerospace And Robotics, Jacob G. Elkins
Dissertations
Aerospace and robotic systems perform various tasks in uncertain, dynamic environments. Further, the data that a system encounters in the real-world is often the most valuable. The most advanced aerospace and robotic systems of the future will be able to learn online, during operation, from this real-world data. Aerospace and robotic systems are often expensive and difficult to model, and the controllers of these systems thus require rigorous control proofs and safety guarantees. Recently, general research in artificial intelligence and machine learning (AI/ML) has made significant strides in developing learning-based systems and controllers. However, much of this research has focused …
The Zero Forcing Number Of Graphs With Prescribed Girth, Paige Gant
The Zero Forcing Number Of Graphs With Prescribed Girth, Paige Gant
Dissertations
The zero forcing number is a graph parameter that was introduced in 2008 to study the minimum rank of matrices. Since then, it has garnered attention due to its applications in search problems, control theory, and power grid monitoring as well as a subject of theoretical interest in its own right. We denote the zero forcing number of a graph Z(G). Consider a subset Z of the vertex set of a simple graph G and color the vertices in Z pink. If a pink vertex has exactly one uncolored neighbor, then that pink vertex forces its sole uncolored neighbor to …
Conflict Profiles And Team Outcomes In Cross-Disciplinary Teams: An Integrated Latent Profile Analysis And Natural Language Processing Approach, Francisco Cima, Pilar Pazos
Conflict Profiles And Team Outcomes In Cross-Disciplinary Teams: An Integrated Latent Profile Analysis And Natural Language Processing Approach, Francisco Cima, Pilar Pazos
Engineering Management & Systems Engineering Faculty Publications
Team conflict is a naturally emerging phenomenon resulting from individuals' interactions during project execution. Cross-disciplinary teams can experience higher levels of conflict than single-discipline teams because of the increased diversity of knowledge and perspectives. Research has shown that team conflict can emerge from different types of disagreements (cognitive and interpersonal), which have different implications for team functioning. Past empirical research has focused on the impact of both conflict types independent from each other while overlooking their combined effects. This work examines the conflict profiles resulting from the combined levels of interpersonal and cognitive disagreements and their association with team outcomes. …
A New Frontier In Online Dispute Resolution: Combining Ai And Mindfulness, Noopur Amin
A New Frontier In Online Dispute Resolution: Combining Ai And Mindfulness, Noopur Amin
Journal of Law, Technology, & the Internet
The use of artificial intelligence (AI) in dispute resolution has gained attention due to its potential to streamline the resolution process and reduce costs. The purpose of this paper is to explore the integration of AI with alternative dispute resolution (ADR) processes and propose an online dispute resolution (ODR) model that combines elements of mindfulness and different forms of AI. The paper begins by providing an overview of the history of ODR and introducing Lodder and Zeleznikow's three-step ODR model. It then explores the role of AI in dispute resolution and provides a brief history of AI generally. The comparison …
A Cytosine Analogue 5-Azacitidine Improves The Accumulation Of Licochalcone A In Licorice Glycyrrhiza Inflata., Xiaoling Ma, Ningxin Jiang, Jingxian Fu, Yuping Li, Lijun Zhou, Ling Yuan, Ying Wang, Yongqing Li
A Cytosine Analogue 5-Azacitidine Improves The Accumulation Of Licochalcone A In Licorice Glycyrrhiza Inflata., Xiaoling Ma, Ningxin Jiang, Jingxian Fu, Yuping Li, Lijun Zhou, Ling Yuan, Ying Wang, Yongqing Li
Plant and Soil Sciences Faculty Publications
Licochalcone A (LCA) is a characteristic compound of Glycyrrhiza inflata with anti-inflammatory, antioxidant and antitumor activities. However, G. inflata produces LCA in low quantities that does not meet the market demand. In this study, we found that DNA methylation inhibitor 5-azacitidine (5-azaC) successfully improved the LCA contents in G. inflata seedlings. Transcriptome analysis revealed a series of differentially expressed genes (DEGs), including transcription factors such as MYB, ERF, WRKY, and some structural genes related to flavonoid biosynthesis. However, whole genome bisulfite sequencing (BS-seq) results showed little effect of the 5-azaC treatment on the alteration of DNA methylation on these genes, …
The Mechanism Of Sperm (Pro)Nuclear Migration In Plants And Animals, Yilin Zhang, Tomokazu Kawashima
The Mechanism Of Sperm (Pro)Nuclear Migration In Plants And Animals, Yilin Zhang, Tomokazu Kawashima
Plant and Soil Sciences Faculty Publications
Gamete nuclear migration is a critical process during fertilization in flowering plants, yet its molecular mechanisms remain poorly understood. Recent studies have highlighted the essential role of cytoskeletal elements, particularly F-actin, in directing sperm nuclear migration, contrasting with the microtubule-driven migration in animals. We summarize the process of sperm nuclear migration in plants and the involvement of Class XI myosin XI-G in Arabidopsis, along with the ROP8-SCAR2 pathway’s ARP2/3-independent mechanism for F-actin nucleation. We also provide a comparative overview of examples from sea urchins, C. elegans, mice and yeast contrasting these mechanisms with those in plants. Finally, we …
Molecules In Cool Stars: The A²Π - X²Σ⁺ And The B²Σ⁺ And The B²Σ⁺ - X²Σ⁺ Band Systems Of Cacl, Léo Lavy, Peter F. Bernath
Molecules In Cool Stars: The A²Π - X²Σ⁺ And The B²Σ⁺ And The B²Σ⁺ - X²Σ⁺ Band Systems Of Cacl, Léo Lavy, Peter F. Bernath
Chemistry & Biochemistry Faculty Publications
Cool red giant stars exhibit absorption bands of calcium monochloride (CaCl) in the optical region. In this work, the bands of CaCl corresponding to the A2Π − X2Σ+ transition with v′ ≤ 4 and v″ ≤ 4, and B2Σ+ − X2Σ+ transition with v′≤ 2 and v″ ≤ 2 are rotationally analyzed with PGOPHER, a multipurpose program for simulating and fitting molecular spectra. All bands were analyzed using high-resolution absorption spectra collected at the National Solar Observatory in 1985, calibrated with atomic lines from a high-resolution emission spectrum obtained …
Higher-Derivative Quantum Field Theory And Its Implications For Hawking Radiation And Nonlocality, Gordon Kanan
Higher-Derivative Quantum Field Theory And Its Implications For Hawking Radiation And Nonlocality, Gordon Kanan
Physics Dissertations - Archive
One of the fundamental equations of quantum field theory is the Klein-Gordon equation which can be constructed using irreducible representations of the Poincar ́e group and describes the dynamics of spin-0 matter. The higher derivative Klein- Gordon equations are also constructed using irreducible representations of the Poincar ́e group and are, thus, invariant under operations of this group. These higher derivative Klein-Gordon equations can be placed into two series depending on the power of the derivative, one for odd powers of the derivative and one for even powers, whose solu- tions yield timelike and spacelike fields. Applying these higher derivative …
Symmetry Analysis Of The Canonical Connection On Lie Groups:Co-Dimension Two Abelian Nilradical With Abelian And Non Abelian Complement, Nouf Alrubea Almutiben
Symmetry Analysis Of The Canonical Connection On Lie Groups:Co-Dimension Two Abelian Nilradical With Abelian And Non Abelian Complement, Nouf Alrubea Almutiben
Theses and Dissertations
We consider the symmetry algebra of the geodesic equations of the canonical
connection on a Lie groups. We mainly consider the solvable indecomposable four,
five and six-dimensional Lie algebras with co-dimension two abelian nilradical, that
have an abelian and not abelian complement. In this particular case, we have only
one algebra in dimension four namely; A4,12 , and three algebras in dimension five
namely; A5,33, A5,34, and A5,35 In dimension six, based on the list of Lie algebras in
Turkowski’s list, there are nineteen such algebras namely; A6,1- A6,19 that have an
abelian complement, and there are eight algebras that …
Advancing Clinical Bacterial Diagnosis: Gram-Stained Whole-Slide Image Classification With Attention-Based Deep Learning, Jack Mcmahon
Advancing Clinical Bacterial Diagnosis: Gram-Stained Whole-Slide Image Classification With Attention-Based Deep Learning, Jack Mcmahon
Computer Science Senior Theses
We introduce a new method for the classification of Gram-stained WSIs. As a test for the diagnosis of blood infections, Gram stains are highly relevant to informing patient treatment. Rapid analysis of Gram stains has been shown to be positively associated with better clinical outcomes, indicating the need for better tools to aid in automatic Gram stain analysis. To date, this area of research has been underexplored, with previous studies relying on the manual patch-level annotation of WSIs to generate training data. This is the first application of a transformer-based model to Gram-stain WSI classification, an approach that is far …
Bs Computer Engineering, Mathematics And Computer Science, Physics
Bs Computer Engineering, Mathematics And Computer Science, Physics
Program Revisions/Additions
No abstract provided.
Exercise Science Occupational Therapy, Kinesiology, Sport, And Recreation
Exercise Science Occupational Therapy, Kinesiology, Sport, And Recreation
Program Revisions/Additions
No abstract provided.
Exercise Science Athletic Training, Kinesiology, Sport, And Recreation
Exercise Science Athletic Training, Kinesiology, Sport, And Recreation
Program Revisions/Additions
No abstract provided.
Exercise Science Physical Therapy, Kinesiology, Sport, And Recreation
Exercise Science Physical Therapy, Kinesiology, Sport, And Recreation
Program Revisions/Additions
No abstract provided.
Digital Media Technology Major, Technology
Digital Media Technology Major, Technology
Program Revisions/Additions
No abstract provided.
Bs Middle Level Education, Teaching, Learning, And Foundations
Bs Middle Level Education, Teaching, Learning, And Foundations
Program Revisions/Additions
No abstract provided.
Efficient Connectivity Management And Path Planning For Iot And Uav Networks, Amirahmad Chapnevis
Efficient Connectivity Management And Path Planning For Iot And Uav Networks, Amirahmad Chapnevis
Theses and Dissertations
This dissertation explores how to better manage resources in mobile networks, especially for enhancing the performance of Unmanned Aerial Vehicles (UAV)-supported IoT networks. We explored ways to set up a flexible communication architecture that can handle large IoT deployments by making good use of mobile core network resources like bearers and data paths. We developed strategies that meet the needs of IoT networks and enhance network performance. We also developed and tested a system that combines traffic from several mobile devices that use the same user identity and network resources within the core mobile network. We used everyday smartphones, SIM …
Photoluminescence Of Beryllium-Related Defects In Gallium Nitride, Mykhailo Vorobiov, Mykhailo Vorobiov
Photoluminescence Of Beryllium-Related Defects In Gallium Nitride, Mykhailo Vorobiov, Mykhailo Vorobiov
Theses and Dissertations
This study explores the potential of beryllium (Be) as an alternative dopant to magnesium (Mg) for achieving higher hole concentrations in gallium nitride (GaN). Despite Mg prominence as an acceptor in optoelectronic and high-power devices, its deep acceptor level at 0.22 eV above the valence band limits its effectiveness. By examining Be, this research aims to pave the way to overcoming these limitations and extend the findings to aluminum nitride and aluminum gallium nitride (AlGaN) alloy. Key contributions of this work include. i)Identification of three Be-related luminescence bands in GaN through photoluminescence spectroscopy, improving the understanding needed for further material …
Shape Inverse Prediction Of Magnetic Field-Actuated Soft Robots By Neural Network Machine Learning, Lineth J. Perez Monsalve
Shape Inverse Prediction Of Magnetic Field-Actuated Soft Robots By Neural Network Machine Learning, Lineth J. Perez Monsalve
Theses and Dissertations
Soft robotics has drawn tremendous interest in recent years because the compliance and motion of soft robotics enable biocompatibility and versatility for many applications, such as human-machine interaction, wearable and assistive devices, and health monitoring. This study introduces a novel predictive modeling approach using neural networks for shape control of magnetic soft robots. The robots are made of silicone materials embedded with hard magnetic particles, which respond to the external magnetic field provided by a ring-type of permanent magnet. These robots, free from physical connections to external devices, i.e., non-tethered actuation, hold significant potential for applications in healthcare, such as …
Commencement Program, 2024, Cuny John Jay College Of Criminal Justice
Commencement Program, 2024, Cuny John Jay College Of Criminal Justice
Reports and Publications from John Jay College
Commencement Programs are handed out at each graduation. They include information on honorary degrees, awards and prizes and candidates for degree. However, they cannot be considered an official record of conferring of degrees.
Discrimination Of Blue Denim Fibers Utilizing Physical Characteristics, Optical Properties, Fluorescence Microscopy, Ultraviolet-Visible Microspectrophotometry, And Microchemical Testing, Elkin Howard
Master of Science in Forensic Science Directed Research Projects
Cotton, the most common natural fiber, has numerous uses in the textile industry. This fiber type is ubiquitous in forensic casework due to its prevalence, particularly in blue jeans. The abundance of blue cotton in society and its limited variations in features can diminish the probative value of its presence on items of evidence. While a pair of blue jeans may be constructed with a combination of natural and manufactured fibers, the most likely fiber type to be transferred between sources is cotton. In this study, a comprehensive analytical approach to blue jean fiber analysis was explored to determine if …
Persistent Relative Homology For Topological Data Analysis, Christian J. Lentz
Persistent Relative Homology For Topological Data Analysis, Christian J. Lentz
Mathematics, Statistics, and Computer Science Honors Projects
A central problem in data-driven scientific inquiry is how to interpret structure in noisy, high-dimensional data. Topological data analysis (TDA) provides a solution via the language of persistent homology, which encodes features of interest as holes within a filtration of the data. The recently presented U-Match Decomposition places the standard persistence computation in a flexible form, allowing for straight-forward extensions of the algorithm to variations of persistent homology. We describe U-Match Decomposition in the context of persistent homology, and extend it to an algorithm for persistent relative homology, providing proofs for the correctness and stability of the presented algorithm.
Leveraging Leadership To Retain Early Career Teachers In Stafford County Public Schools, Christopher Gannon, Caroline Canning, Andrew Hoyt, Lauren Johnson, Thomas Mcauley
Leveraging Leadership To Retain Early Career Teachers In Stafford County Public Schools, Christopher Gannon, Caroline Canning, Andrew Hoyt, Lauren Johnson, Thomas Mcauley
Doctor of Education Capstones
Stafford County Public Schools requested an evaluation of their current support of Early Career Teachers (ECTs) with one to three years experience, and its potential impact on retention efforts. They stamped this request with urgency, noting the COVID-19 pandemic and teacher pay as two driving factors, specifically, impacting retention of teachers within their first three years. Our Capstone team sought a deeper understanding of the following issues in three research questions: 1) types of support across their division and within their school buildings, 2) the impact of current practices of support, and 3) division-wide considerations for enhancing current systems of …
Examining The Effects Of Parameter Correlation And Its Implications For Models Of Learning And Retention: A Large Scale Model Validation : Examining The Effects Of Parameter Correlation And Its Implications For Models Of Learning Andretention: A Large Scale Model Validation, Michael Gordon Collins
Browse all Theses and Dissertations
Mathematical models of learning and retention have long been developed in psychology for both basic and applied research. For basic research, models of learning and retention attempt to explain how individuals acquire and retain information over time. While for applied research, models of learning and retention are used to inform education and training decisions. In both of these applications, the primary purpose of using a model is to fit and predict the performance of individuals. However, little attention has been paid to the interpretation of a model’s free parameters (i.e., learning and decay rates) and the effect that a model’s …