Digital Commons Network^™

'Desplante Flamenco:’ A Study To Better Understand Its Meaning In Flamenco Dance, Chita Espino-Bravo Ph.D.

Modern Languages Faculty Publications

There are different definitions of the term ‘Desplante’ in relation to flamenco dance. In this study, we will delve deeper into this concept to understand its meaning in dance and to better interpret it. We will also explore its origins, which will lead us to reflect on what flamenco dance truly is and what influences it has received.

Happily Ever After?: Romantic Ideas And Gender Roles In Disney Media, Madelyn J. Winfrey

Departmental Honors & Graduate Capstone Projects

This research aims to study a sample of animated Disney movies to examine the gender roles and romantic relationships displayed. With Disney's wide reach in the media realm, they have gained popularity across the globe for the movies they produce; however, the genre they are most well-known for is romance and fairytales. This study will utilize content analysis to examine the behaviors and stereotypes displayed in each movie in the sample as well as common themes that are present.

Folding Architecture “Origami Art-Inspired” Applicability To Sustainable Architecture- Biomuseo As A Case Study, Vitta A. Ibrahim

Mansoura Engineering Journal

The growing need for sustainable architectural solutions in the contemporary era underscores the necessity for interactive architectural applications that can adapt to changing requirements. In architecture, folding systems refer to three-dimensional, foldable structural forms that create unique spatial configurations and possess a wide range of capabilities. Drawing inspiration from origami techniques, this study emphasizes the role of folding systems in generating innovative spatial designs. The research problem arises from the fact that the built environment is a significant contributor to greenhouse gas emissions and energy consumption, necessitating the implementation of smart solutions. The goal of this study is to identify …

Biomechanics Of The Ribs During Respiration At The Costotransverse Joint: An In-Vivo Retrospective Pilot Study, Michael Maninang, Greg Almeter, Erik Pearson, Arvie Vitente

Philippine Journal of Physical Therapy

Introduction: Scarce in‑vivo data describe how ribs move at the costotransverse joints during quiet breathing—knowledge critical to thoracic biomechanics and pain mechanisms. This pilot study uses four‑dimensional computed tomography (4D‑CT) to quantify, for the first time, the three‑dimensional magnitude and direction of rib motion at these joints throughout quiet respiration.

Methods: This retrospective, descriptive pilot study analyzed ten 4D‑CT scans obtained from patients undergoing thoracic imaging prior to radiation therapy. End‑expiration and end‑inspiration phases were aligned with a demons deformable‑registration algorithm. For each costotransverse joint, the three‑dimensional displacement vector, its absolute magnitude, and its components along the lateral–medial (L–M), …

Intrusion Detection System For Iot/Cloud Networks Using Federated Learning And Lightweight Cryptography, Ayad Al-Adhami, Rajaa K. Hasoun, Sanaa Ali Jabber, Soukaena H. Hashem

Baghdad Science Journal

This study presents a secure solution that utilizes lightweight cryptography (LWC) and intrusion detection systems (IDS) to safeguard cloud networks and Internet of Things (IoT) from cyberattacks. Federated Learning (FL) is suggested for identifying zero-attacks to guarantee the security of different local IoT networks connected to global server of cloud. The proposed federated learning utilizing data from all local IoT network devices to create a generalized Intrusion Detection System (IDS). Local IoT networks consist of clients that communicate updates to their parameters with a central server located in the global cloud. This server integrates these changes and deploys an improved …

Enhanced Network Anomaly Detection Using Hybrid Deep Learning Network Based On Interactive Threshold, Maythem S. Derweesh, Sundos A. Hameed Alazawi, Anwar H. Al-Saleh

Baghdad Science Journal

In recent years, the growing use of the internet by both governments and private companies has led to a major increase in individual online activity. This expand lead to make the systems more effected to the threats and cyber attacks, and need more strong solutions to cyber security. Recently, deep learning (DL) and machine learning (ML) have become powerful tools in the cybersecurity field, especially for tasks such as detecting malware and filtering spam. This study present new multi layer method to detect the abnormal activities by busing advanced deep learning techniques. The proposed system work in tow main steps. …

Optimizing Runtime Memory Size Of Smith-Waterman Algorithm For Long Sequences Alignment, Imad Qasim Habeeb, Zeyad Qasim Habeeb, Hanan Najm Abdulkhudhur

Baghdad Science Journal

Sequence alignment is used to help researchers see areas of similarity between two sequences. Hence, it is a key component of many applications, such as DNA matching, plagiarism detection, and spelling correction. The Smith-Waterman algorithm (SWA) is widely used to calculate the sequence alignment because it is guaranteed to find an optimal solution. This algorithm creates a matrix of the size n * m where the symbols n, m refers to the lengths of two sequences needed to be aligned. Therefore, it requires impersonal hardware with a large amount of main memory at runtime to align long sequences. Furthermore, it …

Information System To Elucidate Dna Sequencing Based On Machine And Deep Learning Techniques, Suhiar Mohammed Zeki Abd Alsammed

Baghdad Science Journal

The elucidation of DNA sequencing provides great importance in increasing the comprehension of organisms' genomic functions. However, the investigation of concealed structural information preserved within Deoxyribonucleic Acid (DNA) sequencing represents an outstanding challenge. Recently, machine and deep learning have become the techniques of preference for various tasks of genomics modeling, involving the prediction of genetic variation influence on the mechanisms of gene regulation like DNA receptivity and splicing. Therefore, this paper presented an information system for elucidating DNA sequencing data using diverse machine and deep learning techniques. In this system, two encoding methods are utilized for modifying the DNA sequencing …

Enhanced Pothole Detection In Urban Environments Using Yolo-Nas With Adaptive Image Augmentation Techniques, Saluky, Aisya Fathimah, Onwardono Rit Riyanto

Baghdad Science Journal

Pothole detection in urban environments is a critical task for maintaining road infrastructure and ensuring vehicular safety. Recent advancements in deep learning, particularly the YOLO (You Only Look Once) framework, have shown promise in object detection tasks. However, achieving high accuracy and robustness in real-world conditions remains a challenge. This study introduces an enhanced pothole detection system utilizing the YOLO-NAS (Neural Architecture Search) model, optimized through adaptive image augmentation techniques. The YOLO-NAS model is fine-tuned on a custom dataset of urban road images, with various augmentation strategies applied to simulate different environmental conditions such as shadows, low light, and occlusions. …

Collagen Type Ii-Targeting Lentiviral Gene Therapy For Mucopolysaccharidosis Iva, Betul Celik, Sampurna Saikia, Shaukat Khan, Krishna Sai Musini, Shunji Tomatsu

Department of Pediatrics Faculty Papers

Mucopolysaccharidosis (MPS IVA) is caused by pathogenic variations in the GALNS gene, leading to the accumulation of glycosaminoglycans in tissues and causing progressive skeletal lesions. While conventional lentiviral vectors (LVs) provide long-term stable expression, they do not deliver therapeutic levels to bone and cartilage. We hypothesized that engineering the LV envelope with a collagen type II-targeting peptide (WYRGRL) increases the binding affinity of the LVs for bone and cartilage. These modified vectors carrying the CBh and COL2A1 promoters delivered the GALNS gene to MPS IVA newborn mice via intravenous (IV) or intraarticular (IA) administration. The peptide-modified LVs exhibited markedly increased …

Loss Of The Maternal Effect Gene Nlrp2 Impairs Embryonic And Extra-Embryonic Development, Revealing A Novel Genetic Cause Of Congenital Anomalies†, Momal Sharif, Zahra Anvar, Imen Chakchouk, Sara H El-Dessouky, Roni Zemet, Eric C Kao, Wessam E Sharaf-Eldin, Ying-Wooi Wan, Zhandong Liu, Pengfei Liu, Michael Jochum, Ignatia B Van Den Veyver

Duncan NRI Faculty and Staff Publications

Maternal-effect genes (MEGs) play a crucial role in early mammalian development, and their dysfunction can lead to severe embryonic and extra-embryonic abnormalities. NLRP2, a MEG that encodes a subcortical maternal complex (SCMC) protein, has been implicated in preimplantation development, but its role after implantation remains underexplored. In this study, we investigated the developmental consequences of maternal Nlrp2 loss-of-function in a maternal knockout (KO) mouse model at embryonic day 11.5. Embryos derived from Nlrp2-KO females have abnormal yolk sac vasculature, increased embryonic resorption, craniofacial abnormalities, neural tube defects, and congenital heart defects. Placental architecture is disrupted with an altered junctional zone …

A Spatiotemporal Model Of Cxcl10 As A Master Regulator Of Immune Evasion And Metastasis In Osteosarcoma, Benjamin B Gyau, Tsz-Kwong Man

Faculty, Staff and Students Publications

The C-X-C motif chemokine ligand 10 (CXCL10) is implicated in the progression of osteosarcoma (OS), the most aggressive pediatric bone malignancy. However, its role often presents a profound clinical paradox: although high circulating levels are strongly linked to poor prognosis, its canonical function is to recruit anti-tumor immune cells. This review unravels these contrasting roles by proposing a novel spatiotemporal model. We argue that in the early stages, immune-evading OS cells initiate the formation of a pre-metastatic niche (PMN) in the lungs, creating a localized inflammatory environment that becomes the primary source of elevated circulating CXCL10. As the disease progresses, …

Amino Acid Signaling In Skeletal Muscle Is Blunted By Prematurity In A Piglet Model, Antonio C Ramos Dos Santos, Agus Suryawan, Ki Beom Jang, Rosemarie D Parada, Mahmoud A Mohammad, Marta L Fiorotto, Teresa A Davis

Faculty, Staff and Students Publications

Background: Preterm (PT) infants are at increased risk for reduced postnatal lean mass accretion. We established that the feeding-induced stimulation of protein synthesis in skeletal muscle is blunted in piglets born PT compared with those born at term.

Objectives: We evaluated the extent to which key components of the amino acid-sensing pathways that regulate mechanistic target of rapamycin complex 1 (mTORC1) activation contribute to anabolic resistance in skeletal muscle of piglets born PT compared with those born term.

Methods: Piglets delivered by cesarean section 10 d PT (n = 23) or at term (n = 22) were administered total parenteral …

Enhanced Generative Convolutional Networks: A Hybrid Algorithm For Refinement Video Classification, Dalal Thair Mahjoub, Hala Bahjat Abdulwahab, Kesra Nermend

Journal of Soft Computing and Computer Applications

Video classification is a vital area of research due to the growing volume of video content in various applications. Accurate category across various resolutions poses challenges, which include adapting to scaling, resizing, and compression. Therefore, this paper introduces an innovative Generative Convolutional Network (GCN) set of rules tailored for multi-resolution video classes. The proposed GCN model utilizes Convolutional Neural Networks (CNNs) combined with generative modeling to enhance the extraction of functions across varying video resolutions, which is crucial for maintaining class robustness in the face of common video adjustments, such as scaling, resizing, and compression. In contrast, traditional fashions frequently …

Subject Index, 12 Months Ended May 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Subject Index, 12 Months Ended April 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Roan Stallion, Tamar And Other Poems: Centennial Edition, By Robinson Jeffers, Brett Colasacco

Jeffers Studies

No abstract provided.

A Theology Of Creation: Ecology, Art, And Laudato Si', By Thomas Hibbs, David Rothman

Jeffers Studies

No abstract provided.

How Not To Be Human: The Inhumanist Philosophy Of Robinson Jeffers, By Matthew Calarco, James Karman

Jeffers Studies

No abstract provided.

Second Place, By Rachel Cusk, Geneva M. Gano

Jeffers Studies

No abstract provided.

Robinson Jeffers' Roan Stallion, Tamar And Other Poems: Centennial Reflections, Rja

Jeffers Studies

No abstract provided.

The Robinson Jeffers Interview: A Conversation With Scott Slovic, Scott Slovic

Jeffers Studies

No abstract provided.

A Maker Of Poems: Robinson Jeffers' "To His Father", William E. Cain

Jeffers Studies

No abstract provided.

Wild Anthropocene Literature And Multispecies Justice In Deep Time, By Louise Economides, George Hart

Jeffers Studies

No abstract provided.

Comparative Transcriptomics Reveals Novel And Differential Long-Noncoding Rna Responses Underlying Interferon-Mediated Antiviral Regulation In Porcine Alveolar Macrophages, Jiuyi Li, Oluwaseun Adeyemi, Laura C. Miller, Yongming Sang

Food and Animal Sciences Faculty Research

Porcine reproductive and respiratory syndrome virus (PRRSV) is a major threat to the global swine industry. Long non-coding RNAs (lncRNAs) are emerging as crucial regulators of antiviral immunity, but their roles in porcine alveolar macrophages (PAMs)—the primary target of PRRSV—remain poorly characterized. This study presents a genome-wide analysis of lncRNA expression in PAMs stimulated with a PRRS modified live virus (MLV) vaccine and two type I interferons, IFN-α1 and IFN-ω5. Whole-transcriptome sequencing identified over 2000 differentially expressed lncRNAs, with IFN-ω5 inducing the most extensive transcriptional reprogramming. Weighted gene co-expression network analysis (WGCNA) revealed interferon-specific lncRNA-mRNA modules, and functional enrichment showed …

Nuclear Binding Energy Prediction For Some Odd-Mass Number Nuclei By Artificial Neural Network (Ann), Ruya H. Ibrahim, Akram Mohammed Ali

Baghdad Science Journal

Machine learning models called artificial neural networks (ANNs) are widely used in many fields and real-world applications. The parameter vector that forms the basis of these models needs to be evaluated computationally. We calculated the ground-level binding energy of 146 nuclei with an odd mass number using three different models:the integrated nuclear model,the liquid drop model and the experimental model. The results of these models were compared with our theoretical results calculated by the artificial intelligence network. The mean squared error of the target and output values and how close they are to zero were calculated, and the degree of …

Generalized Pentagonal Linear And Non-Linear Functions For Solving Fully Fuzzy Linear Programming Problems, Eman Hassan Ouda, Iden Hassan Hussein

Baghdad Science Journal

Fuzzy linear programming problems (FLPP) are advanced approaches for solving linear programming problems (LPP) that involve fuzzy coefficients and variables with constraints on the problem. Numerous applications exist for the pentagonal function and ranking membership in geometry and the sciences, especially mathematics. This study suggests a novel approach for solving fully fuzzy linear programming problems (FFLPP) using the ranking function with pentagonal functions. The project aims to determine the maximum (minimum) solution to the problems where all variables, including the objective function, constraints and the right hand, are pentagonal fuzzy numbers. Additionally, generalizations of both linear and nonlinear pentagonal functions …

On The Systems Of Distinct Representatives For The Family Of Sets Formed By Neighborhoods Of Vertices, Shahistha Hanif, K Arathi Bhat

Baghdad Science Journal

Currently, the theory of systems of distinct representatives is being carefully examined and reworked, often in a more general context. With time, considerable literature has grown, and new theories are proposed that require the system of distinct representatives to possess additional properties. In this article, one such context is considered. A graph is completely defined by the relationship between its vertices, also known as the neighborhood of vertices in graph theoretical context. Several parameters are defined based on the set of all neighborhoods of vertices and are explored. This article delves into the well-known problem of the existence of a …

Voices Of The Headland: Robinson Jeffers And The Bird Of Prey, By Alan Malnar, Eric San George

Jeffers Studies

No abstract provided.

Biomechanics Of The Ribs During Respiration At The Costotransverse Joint: An In-Vivo Retrospective Pilot Study, Michael Maninang, Greg Almeter, Erik Pearson, Arvie Vitente

Rehabilitation Sciences Department Faculty Articles

Introduction: Scarce in‑vivo data describe how ribs move at the costotransverse joints during quiet breathing—knowledge critical to thoracic biomechanics and pain mechanisms. This pilot study uses four‑dimensional computed tomography (4D‑CT) to quantify, for the first time, the three‑dimensional magnitude and direction of rib motion at these joints throughout quiet respiration.

Methods: This retrospective, descriptive pilot study analyzed ten 4D‑CT scans obtained from patients undergoing thoracic imaging prior to radiation therapy. End‑expiration and end‑inspiration phases were aligned with a demons deformable‑registration algorithm. For each costotransverse joint, the three‑dimensional displacement vector, its absolute magnitude, and its components along the lateral–medial (L–M), …