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Articles 73531 - 73560 of 1114200
Full-Text Articles in Entire DC Network
Modulation Of Energetic And Lipid Pathways By Curcumin As A Potential Chemopreventive Strategy In Human Prostate Cancer Cells, Michele Pellegrino, Maria Antonietta Occhiuzzi, Fedora Grande, Ilaria Stefania Pagani, Stefano Aquaro, Paola Tucci
Modulation Of Energetic And Lipid Pathways By Curcumin As A Potential Chemopreventive Strategy In Human Prostate Cancer Cells, Michele Pellegrino, Maria Antonietta Occhiuzzi, Fedora Grande, Ilaria Stefania Pagani, Stefano Aquaro, Paola Tucci
Staff and Researcher Publications
In Western industrialized countries, prostate cancer (PCa) is the second most common malignant disease and prevalent cause of death for men. Epidemiological studies have shown that curcumin (CUR) either prevents PCa initiation or delays its progression to a more aggressive and treatment-refractory form, thus reducing related mortality. Our previous studies have proven the anticancer, antioxidant, and anti-inflammatory properties of CUR on PCa cells. However, there are few reports of the effect of CUR on energy and lipid pathways in PCa. Herein, we show that CUR can modulate the two metabolic energy pathways, increasing glycolytic reserve and reducing oxidative phosphorylation. Moreover, …
Analysis, Design, And Experimental Validation Of The Thermal Subsystem Of Alainsat-1 Cubesat, Ameereh Seyedzadeh
Analysis, Design, And Experimental Validation Of The Thermal Subsystem Of Alainsat-1 Cubesat, Ameereh Seyedzadeh
Thesis/ Dissertation Defenses
This thesis investigates the thermal management techniques of AlAinSat-1 during extremely harsh space conditions. It presents a comprehensive analysis of its thermal behavior using numerical techniques and validates the CubeSat's survivability in space via experimental testing. AlAinSat-1 is a nanocube-shaped satellite carrying Earth observation payloads, including RITA (Remote Sensing and Interference Detector with Radiometry and Vegetation Analysis) and Locana. Understanding how the CubeSat behaves in harsh space conditions and maintains thermal stability during its mission is critical to its success. The main aim of this study is to employ finite element analysis (FEA) techniques to simulate the thermal behavior of …
Notes For Contributors To Space & Defense
Front Matter, Damon Coletta
Machine Translation In The Workplace: Deciding On The Whether, Why And How, Joop Bindels, Aletta G. Dorst, Mark Pluymaekers
Machine Translation In The Workplace: Deciding On The Whether, Why And How, Joop Bindels, Aletta G. Dorst, Mark Pluymaekers
Global Advances in Business Communication
Machine Translation (MT) is used intensively by all kinds of professionals around the world. These translation tools, in the form of a web interface, mobile phone app or as a plugin, bring with them enormous advantages: they are instantly available in a multitude of languages, often cost-free, easy to use and most of the time correct. However, they do carry certain risks, often unknown to the professionals using them. The ineffective use of MT could lead to situations of misunderstanding or misuse with real legal, medical or other implications. Hence the need for professionals to develop an informed and critical …
Through Their Eyes, Austin Dixon, Ty-Ie Fuller
Through Their Eyes, Austin Dixon, Ty-Ie Fuller
Journal of Access, Retention, and Inclusion in Higher Education
This qualitative case study explored the perceptions of success and experiences of nine minority male participants in a men-of-color-themed first-year learning community (MCLC) at a Hispanic-Serving Institution. Focus groups and individual interviews revealed four major themes: the importance of strong instructor relationships, the subjective nature of success, the value of affinity spaces, and the positive impact of the learning community on development and motivation. Participants emphasized the role of instructor rapport, defined success through the lens of personal empowerment, and highlighted the significance of culturally relevant peer connections. The findings indicate that MCLCs can foster a sense of community, identity …
Collaborative Development Of Machine Learning Algorithms For Student Success At John Jay College, John Harnisher, Sumaya Villanueva, Dana Prieto, Ricardo Anzaldua, Katie Beem
Collaborative Development Of Machine Learning Algorithms For Student Success At John Jay College, John Harnisher, Sumaya Villanueva, Dana Prieto, Ricardo Anzaldua, Katie Beem
Journal of Access, Retention, and Inclusion in Higher Education
Improving graduation rates is a crucial goal in higher education, but understanding who is at risk of dropping out is resource intensive, creating barriers to effective retention interventions. Thus, identifying factors that predict drop out risk is increasingly of interest, yet current approaches often lack transparency and accessibility. To aid in this effort, DataKind collaborated with John Jay College of Criminal Justice (JJC) to co-create a data-assisted student success tool, utilizing machine learning to identify students at risk of drop out and centering the role of advisors in supporting students. The insights from this tool are used by JJC to …
Convolutional Neural Networks For Dementia Severity Classification: Ordinal Versus Regular Methods, Ambresh Bhadrashetty, P. Sandhya
Convolutional Neural Networks For Dementia Severity Classification: Ordinal Versus Regular Methods, Ambresh Bhadrashetty, P. Sandhya
Iraqi Journal for Computer Science and Mathematics
Dementia, a chronic neurodegenerative disorder, progressively impairs cognitive functions such as memory, reasoning, learning, and recall, placing a significant burden on patients and healthcare systems. Early and accurate classification of dementia severity is crucial for personalized care and intervention. This study introduces a novel Convolutional Neural Network (CNN) designed to classify dementia into four ordinal severity levels (None, Very Mild, Mild, and Moderate) based on MRI brain scans. Utilizing the extensive Open Access Series of Imaging Studies (OASIS) dataset, which includes 86,437 MRI scans (67,222 ‘none,’ 13,725 ‘very mild,’ 5,002 ‘mild,’ and 488 ‘moderate’), our model addresses severe class imbalance …
New Three-Parameter Exponentiated Benini Distribution: Properties And Applications, Elif Yıldırım, Gamze Özel, Christophe Chesneaul, Farrukh Jamal, Ahmed M. Gemeay
New Three-Parameter Exponentiated Benini Distribution: Properties And Applications, Elif Yıldırım, Gamze Özel, Christophe Chesneaul, Farrukh Jamal, Ahmed M. Gemeay
Iraqi Journal for Computer Science and Mathematics
Modeling of some rarely occurring environmental events, obtaining and analyzing accurate predictions is quite important in determining the nature of such events and taking measures accordingly. Modeling these rarely occurring environmental events with the statistical distributions in the literature may cause some problems. For this reason, different statistical distributions are needed for modeling this type of rare data. In this paper, a new three-parameter exponentiated Benini distribution based on the exponential family is proposed as a new lifetime distribution. It is called the three-parameter exponentiated Benini distribution. Although new distributions are derived by different methods in the literature, there is …
Investigating Intrusion Detection System Using Federated Learning For Iot Security Challenges, Mohammed Q. Mohammed, Zena Abd Alrahman, Aouf R. Shehab
Investigating Intrusion Detection System Using Federated Learning For Iot Security Challenges, Mohammed Q. Mohammed, Zena Abd Alrahman, Aouf R. Shehab
Iraqi Journal for Computer Science and Mathematics
The Internet of Things (IoT) is a decentralized and ever-changing network, which poses challenges in terms of security. The input highlights the need for robust security measures to protect IoT devices and their data from potential threats. The study focuses on Federated Learning (FL) technology as a potential solution to enhance IoT security. FL models are designed to protect sensitive data while allowing its exchange with other systems, making it a promising approach for securing IoT environments. Additionally, the input suggests the implementation of intrusion detection systems (IDS) as an additional strategy to enhance overall IoT security. By combining FL …
Explainable Machine Learning Approach Enables Computer-Aided Identification System For Children Autism Spectrum Disorder (C-Asd), Karrar Hameed Abdulkareem, Zainab Hussein Arif, Mazin Abed Mohammed
Explainable Machine Learning Approach Enables Computer-Aided Identification System For Children Autism Spectrum Disorder (C-Asd), Karrar Hameed Abdulkareem, Zainab Hussein Arif, Mazin Abed Mohammed
Iraqi Journal for Computer Science and Mathematics
Neurodevelopmental disorders like autism spectrum disorder (ASD) cause significant cognitive, linguistic, object identification, communication, and social skills deficits. Although there is currently no cure for autism spectrum disorder (ASD), early detection can aid in diagnosis and implementing effective preventative measures. Artificial intelligence (AI) tools allow for an earlier diagnosis of ASD than was previously possible. Furthermore, many clinical and not clinical attributes can be used for identification of ASD but select the most proper ones still challenge. Therefore, in this study we propose a Computer-Aided Identification System based on machine learning concept and feature selection methods to diagnosis Children Autism …
Stable Heterogeneous Traffic Flow With Effective Localization And Path Planning In Wireless Network Connected And Automated Vehicles In~Internet Of Vehicular Things (Iovt), Ahmed N. Rashid, Ahmed Mahdi Jubair
Stable Heterogeneous Traffic Flow With Effective Localization And Path Planning In Wireless Network Connected And Automated Vehicles In~Internet Of Vehicular Things (Iovt), Ahmed N. Rashid, Ahmed Mahdi Jubair
Iraqi Journal for Computer Science and Mathematics
The increasing complexity of networks comprising both Connected Autonomous Vehicles (CAVs) and Human-Driven Vehicles (HDVs) presents substantial challenges in achieving accurate positioning, efficient communication, and optimal route planning. Current methodologies fall short in enhancing vehicular network efficiency and reliability due to noise interference, inefficient data transmission, and unstable data transfer. This study aims to improve localization accuracy, reduce communication noise, and enhance path planning efficiency in mixed CAV and HDV environments through the Stable Heterogeneous Traffic Flow using Deep Reinforcement Learning and Effective Path Planning (SHTDR-EPP) approach. The primary goals are to ensure dependable localization, efficient communication, and reliable route …
A Comprehensive Analysis Of Partition Dimensions In Efavirenz Abacavir Lamivudine Doravirine Of Anti-Hiv Drug Structures, R. Nithya Raj, R. Sundara Rajan, Hijaz Ahmad
A Comprehensive Analysis Of Partition Dimensions In Efavirenz Abacavir Lamivudine Doravirine Of Anti-Hiv Drug Structures, R. Nithya Raj, R. Sundara Rajan, Hijaz Ahmad
Iraqi Journal for Computer Science and Mathematics
The partition dimension of a graph in chemical graph theory refers to a graph invariant used to analyze the structural properties of molecules. It represents the minimum number of clusters or resolving partition set required to uniquely identify each vertex in the graph based on the neighborhoods within their respective clusters. In the context of chemical graph theory, the vertices of the graph correspond to atoms, and edges represent bonds between these atoms in a molecular structure. Determining the partition dimension of a chemical graph helps in understanding the relationships between molecular components and their spatial arrangements. It assists in …
Embedded Schemes Of The Runge-Kutta Type For The Direct Solution Of Fourth-Order Ordinary Differential Equations, F. A. Fawzi, Nizam G. Ghawadri
Embedded Schemes Of The Runge-Kutta Type For The Direct Solution Of Fourth-Order Ordinary Differential Equations, F. A. Fawzi, Nizam G. Ghawadri
Iraqi Journal for Computer Science and Mathematics
This paper introduces an innovative approach for solving fourth-order ordinary differential equations (ODEs) of the form. We present the embedded Runge-Kutta (RK) Direct Explicit (ERKDGF) method, a family of embedded direct explicit RK type methods tailored specifically for this purpose. Through meticulous application of Taylor expansion, we have derived algebraic equations with order conditions up to the sixth order, ensuring the accuracy and reliability of our proposed integrator. We have developed two key variants within this method, namely RKDF5(4) and ERKDGF5(4), with orders five and four, respectively. Our approach is strategically designed, with the higher-order method ensuring exceptional accuracy, and …
Robust-Fragile Watermarking Using Integer Wavelet Transform For Tampered Detection And Copyright Protection, Hendra Budi, Ferda Ernawan, Agit Amrullah
Robust-Fragile Watermarking Using Integer Wavelet Transform For Tampered Detection And Copyright Protection, Hendra Budi, Ferda Ernawan, Agit Amrullah
Iraqi Journal for Computer Science and Mathematics
The use of the internet and advanced technologies enables the distribution of information and data through diverse digital images. Nevertheless, this ease of use comes with the potential risk of data misappropriation, encompassing unauthorized alterations, duplications, and reproductions of digital images. Ongoing research is being conducted in the field of watermarking to enhance the capabilities of protecting digital images. The objective of this work is to enhance the strength of copyright protection and the vulnerability of watermarking for authentication in digital images by utilizing the Integer Wavelet Transform (IWT). The watermarking approach involves embedding a durable watermark in the red …
Modelling Security Factors Influencing E-Wallet Adoption In Malaysia, Adi Badiozaman Ruhani, Nur Suhaili Mansor, Hapini Awang, Mohamad Fadli Zolkipli, Khuzairi Mohd Zaini, Abderrahmane Benlahcene
Modelling Security Factors Influencing E-Wallet Adoption In Malaysia, Adi Badiozaman Ruhani, Nur Suhaili Mansor, Hapini Awang, Mohamad Fadli Zolkipli, Khuzairi Mohd Zaini, Abderrahmane Benlahcene
Iraqi Journal for Computer Science and Mathematics
This study aims to develop an effective framework that addresses the security concerns and user behavior related to e-wallet adoption. The research methodology entails quantitative data collection through a literature review and surveys of e-wallet users using convenience sampling, and the proposed model is tested using the Partial Least Squares Structural Equation Modelling (PLS-SEM). The proposed security factors in this study include phone stolen protection, app security performance, secure authentication, data privacy protection, secure online transaction and banking info security. The online survey form was disseminated to Malaysian citizens, and 186 respondents participated in the survey. Using a two-step approach, …
Robust Image Watermarking Based On Schur Decomposition, Ahmad Toha, Ferda Ernawan, Agit Amrullah
Robust Image Watermarking Based On Schur Decomposition, Ahmad Toha, Ferda Ernawan, Agit Amrullah
Iraqi Journal for Computer Science and Mathematics
The advanced of internet technology allows unauthorized people to distribute multimedia data. Copyright protection for digital images is needed to protect the intellectual properties of the digital image. This study presents a colour image watermarking using schur decomposition for protecting the digital copyright. This study investigates the significant contribution of the orthogonal U of schur decomposition with the size of 8´8 pixels. The proposed scheme embeds a watermark on the (U2, U6) of the U matrix to achieve high invisibly and robustness of the embedded watermark. The relationship of each coefficient on the U matrix …
Image Watermarking Using Firefly Algorithm–Iwt-Svd For Copyright Protection, Anjahul Khuluq, Ferda Ernawan, Agit Amrullah, Mohd Arfian Ismail
Image Watermarking Using Firefly Algorithm–Iwt-Svd For Copyright Protection, Anjahul Khuluq, Ferda Ernawan, Agit Amrullah, Mohd Arfian Ismail
Iraqi Journal for Computer Science and Mathematics
Image watermarking is a technique used to ensure the legitimacy of ownership by safeguarding images. This research presented the Firefly algorithm–IWT-SVD to enhance resistance and robustness performance against different type of attacks. The cover image is split into blocks of 4×4 pixels, and each block is then computed by IWT-SVD. The Firefly algorithm is used to determine the appropriate scaling factor to incorporate the watermark using a predefined set of principles. The watermarked images have been evaluated under various attacks such as noise addition, filtered image, compressed image and scaled image. The experimental results demonstrate exceptional imperceptibility, with an average …
Robust Image Watermarking Based On Iwt-Dct-Svd For Copyright Protection, Syafiqul Shubuh, Ferda Ernawan, Agit Amrullah, Prajanto Wahyu
Robust Image Watermarking Based On Iwt-Dct-Svd For Copyright Protection, Syafiqul Shubuh, Ferda Ernawan, Agit Amrullah, Prajanto Wahyu
Iraqi Journal for Computer Science and Mathematics
The rapid advancement of technology has resulted in many intellectual works, in the form of images requiring copyright protection to prevent unauthorized use by irresponsible parties. This research examines the hybrid watermarking method that utilises IWT-DCT-SVD domain to enhance the durability of the embedded watermark. The host image is used as the input for the R-Level process, if the watermark logo is small, then the cover image is computed by 3-level of IWT. Whereas, the watermark logo has a large size, the cover image is then computed by 1-level of IWT. The watermark logo is embedded into the singular value …
Automated Fake News Detection System, Saja A. Al-Obaidi, Tuba Çağlıkantar
Automated Fake News Detection System, Saja A. Al-Obaidi, Tuba Çağlıkantar
Iraqi Journal for Computer Science and Mathematics
Online news has been the majority of people’s information source in recent decades. However, a lot of the information that is accessible online is fake and sometimes even designed to mislead. It might be difficult for individuals to distinguish between certain false newspaper items and the real ones since they are so similar. Deep learning (DL) and machine learning (ML) models, among other automated false news detection (FND) techniques, are quickly becoming essential. A comparative study was conducted to analyze the performance of five prominent deep learning models across four distinct datasets, namely ISOT, FakeNewsNet, Dataset1, and Dataset2. Results indicated …
Posinormality Of Operators Treated By Weyl's Theorem On Unbounded Hilbert Space, Abbas G. Rajij, Dalia S. Ali, Huseyin Cakalli, Nadia M. G. Al-Saidi
Posinormality Of Operators Treated By Weyl's Theorem On Unbounded Hilbert Space, Abbas G. Rajij, Dalia S. Ali, Huseyin Cakalli, Nadia M. G. Al-Saidi
Iraqi Journal for Computer Science and Mathematics
Hamiltonians, momentum operators, and other quantum-mechanical perceptible take the form of self-adjoint operators when understood in quantized physical schemes. Unbounded and self-adjoint recognition are required in the situation of positive measurements. The selection of the proper Hilbert space(s) and the selection of the self-adjoint extension must be made in order for this to operate. In this effort, we define a new extension positive measure depending on the measurable field of nonzero positive self-adjoint operator in unbounded Hilbert space of analytic functions of complex variables. Consequently, we define an extension norm in the same space. We show several new properties of …
Why Should Universities Contribute To New Utopias?, Geert Bouckaert
Why Should Universities Contribute To New Utopias?, Geert Bouckaert
Budhi: A Journal of Ideas and Culture
What would the ideal society look like, and its university? In 1516 the English humanist Thomas More tried his hand at imagining a perfect society on a distant island. His Utopia was first published in the Flemish town of Leuven, home of a university that was established almost a century earlier in 1425. Five hundred years later, university scholars revisit More’s exercise in an interdisciplinary range of science-based utopias.1 Like More’s Utopia, later and new utopias have to be read in the light of their own times. Utopias are connected to and embedded in their social realities. They belong to …
Are Secular Politics Possible?, Gregory C. Melleuish, Susanna G. Rizzo
Are Secular Politics Possible?, Gregory C. Melleuish, Susanna G. Rizzo
Budhi: A Journal of Ideas and Culture
Contemporary political analysis makes a distinction between politics that are secular in nature and politics that are religiously based. This article questions whether there is such a thing as secular politics. Firstly, it examines the roots of the secular/religious dichotomy in Western thought and concludes that it is the creation of particular intellectual developments in the West. And then it argues that modern politics is best viewed in terms of a number of “sacred projects” that are generated out of the supposedly secular nature of the modern West. There can be no real politics without such projects, only administration. Even …
Christianity's Paradox: Chesterton After Kierkegaard, Peter Murphy
Christianity's Paradox: Chesterton After Kierkegaard, Peter Murphy
Budhi: A Journal of Ideas and Culture
A convert to Catholicism, G.K. Chesterton was a leading intellectual of the British Edwardian age and one of the important social and religious thinkers of the twentieth century. His trademark was paradox. He wrote in defense of the imagination and the corralling of opposites, oppositions, contradictions, and bountiful inconsistencies. The article explores Chesterton’s views on faith, religion, God, Christianity, Islam, modernity, change, and progress. It locates him in a philosophical stream that sees laughter and comedy as a religious disguise, paradox as a creative force, and the imagination as a necessary complement of reason. This is framed by a discussion …
The Practice Of Hermeneutics: The Legal Text And Beyond, George H. Taylor
The Practice Of Hermeneutics: The Legal Text And Beyond, George H. Taylor
Budhi: A Journal of Ideas and Culture
This article attempts to show the continuing practical relevance of hermeneutics through the example of legal interpretation. The article begins with the very concrete nature of legal hermeneutics that forms everyday legal practice—the interrelation of meaning and application— and expands at a more theoretical to show how legal hermeneutics, and hermeneutics more generally, offers what Ricoeur calls an interpretive “choice in favor of meaning.” The choice in favor of meaning underscores the restorative character of hermeneutics that legal hermeneutics can epitomize. The article concludes with some of the challenges facing contemporary legal hermeneutics.
Exemplarity And The "Law Of Superabundance", Roger W. H. Savage
Exemplarity And The "Law Of Superabundance", Roger W. H. Savage
Budhi: A Journal of Ideas and Culture
Paul Ricoeur’s critique of social emancipatory projects that claim to be absolutely radical sets the stage for my investigation into the exemplary value of esteemed moral and political acts. Like works of art, such acts reform or revolutionize praxis through refashioning the world from within. By placing textual hermeneutics under the theme of the increase in being evinced by the work of art, Ricoeur’s analysis on the way that metaphor as a work in miniature iconically augments reality forges a link between the imagination’s productive power and the “law of superabundance.” This law inheres in the logic of hope. The …
The Utah Statesman, November 25, 2024, Utah State University
The Utah Statesman, November 25, 2024, Utah State University
The Utah Statesman
Weekly student newspaper of Utah State University in Logan.
Data-Driven Quality Improvement For Sustainability In Automotive Packaging Systems, Tyler Mcknight
Data-Driven Quality Improvement For Sustainability In Automotive Packaging Systems, Tyler Mcknight
Morehead State Theses and Dissertations
A thesis presented to the faculty of the College of Science and Engineering at Morehead State University in partial fulfillment of the requirements for the Degree Master of Science by Tyler McKnight on November 25, 2024.
Resilience Of A Palestinian University Instructor Surviving War: A Grounded Theory Study, Hassan El-Nabih, Sadek Firwana
Resilience Of A Palestinian University Instructor Surviving War: A Grounded Theory Study, Hassan El-Nabih, Sadek Firwana
An-Najah University Journal for Research - B (Humanities)
This qualitative study addressed the devastating impacts of war on civilians by giving voice to a Palestinian university instructor who had a life-threatening experience during the Israeli aggressive war on the Gaza Strip in 2014. The data for the study were gathered from two different sources: (i) a narrative written by the instructor shortly after his recovery and (ii) a semi-structured interview conducted with him three years after this harrowing event. In order to explore and theorize the salient themes in the data, we adopted a three-phase grounded theory methodology. The initial coding phase yielded 30 important codes, which were …
2024-11-25 Executive Board Meeting Minutes, Morehead State University. Student Government Association.
2024-11-25 Executive Board Meeting Minutes, Morehead State University. Student Government Association.
Student Government Association Records
Meeting minutes of the Student Government Association Executive Board from November 25, 2024.