Digital Commons Network^™

Progress Toward Tracking Migrating Raptors By Satellite, Frank C. Craighead Jr., Thomas C. Dunstan

Journal of Raptor Research

No abstract provided.

Raptor Energetics: A Review, James A. Mosher

Journal of Raptor Research

No abstract provided.

Raptor Rehabilitation At The Oklahoma City Zoo, John C. Snelling

Journal of Raptor Research

No abstract provided.

Why Are Female Birds Of Prey Larger Than Males?, Dean Amadon

Journal of Raptor Research

No abstract provided.

Raptor Rehabilitation At The Alexander Lindsay Junior Museum, Jim Wisecarver, Gary Bogue

Journal of Raptor Research

No abstract provided.

An Invasion Of Goshawks, P. B. Hofslund

Journal of Raptor Research

No abstract provided.

Foraging Behavior Of Ospreys In Northwestern California, Meyer L. Ueoka, James R. Koplin

Journal of Raptor Research

No abstract provided.

Part J .Reproductive Endocrinology (Special Conference On Captivity Breeding Of Raptors), Richard R. Olendorff

Journal of Raptor Research

No abstract provided.

Part H. Health And Nutrition Of Young (Special Conference On Captivity Breeding Of Raptors), Richard D. Porter

Journal of Raptor Research

No abstract provided.

Part F. Artificial Insemination (Special Conference On Captivity Breeding Of Raptors), Robert B. Berry

Journal of Raptor Research

No abstract provided.

Part G. Breeding Stock Inventory (Special Conference On Captivity Breeding Of Raptors), Donald V. Hunter Jr.

Journal of Raptor Research

No abstract provided.

Part B. Incubation, Natural And Artificial (Special Conference On Captivity Breeding Of Raptors), Richard R. Olendorff

Journal of Raptor Research

No abstract provided.

Study Of Dusty Torus In The Vicinity Of Active Supermassive Black Holes, Arya Sudhakaran

University Departments

No abstract provided.

Study Of Soalr Atmospheric Heating Due To Active Regions, Munjiba M. M

University Departments

No abstract provided.

The Energy Of Interval-Valued Complex Neutrosophic Graph Structures: Framework, Application And Future Research Directions, S.N. Suber Bathusha, Sowndharya Jayakumar, S. Angelin Kavitha Raj

Neutrosophic Systems with Applications

Graph structure is a developing field with many real-world applications and advancements, particularly effective frameworks for integrative problem-solving in computer networks and artificial intelligence systems. To define the idea of an Interval-Valued Complex Neutrosophic Graph Structure (IVCNGS), the concept of an Interval-Valued Complex Neutrosophic Set (IVCNS) is applied to the graph structure. Using the adjacency matrix to calculate the degree of vertex, we have defined some findings about the IVCNGS. Further, we compute the energy and Laplacian energy of IVCNGS. Moreover, we derive the lower and upper bounds for the energy and Laplacian energy of IVCNGS, and we have discussed …

Determination Of Thermal Neutron Capture Cross Sections Of Cerium Isotopes, Samrudhi R. Kanjarpane

University Departments

No abstract provided.

From Static Web To Metaverse: Reinventing Medical Education In The Post-Pandemic Era, Kadriye O. Lewis, Vitaliy Popov, Syeda Sadia Fatima

Department of Biological & Biomedical Sciences

The World Wide Web and the advancement of computer technology in the 1960s and 1990s respectively set the ground for a substantial and simultaneous change in many facets of our life, including medicine, health care, and medical education. The traditional didactic approach has shifted towards more dynamic and interactive methods, leveraging technologies such as simulation tools, virtual reality, and online platforms. At the forefront is the remarkable evolution that has revolutionized how medical knowledge is accessed, disseminated, and integrated into pedagogical practices. The COVID-19 pandemic also led to rapid and large-scale adoption of e-learning and digital resources in medical education …

Redesign Of Leg Assembly And Implementation Of Reinforcement Learning For A Multi-Purpose Rehabilitation Robotic Device (Roborehab), Jacob Anthony, Chung-Hyun Goh, Alireza Yazdanshenas, Yong Tai Wang

Mechanical Engineering Faculty Publications and Presentations

Patients who are suffering from neuromuscular disorders or injuries that impair motor control need to undergo rehabilitation to regain mobility. Gait training is commonly prescribed to patients to regain muscle memory. Automated-walking training devices were created to aid this process; while these devices establish accurate ankle-path trajectories, the knee and hip movements are inaccurate. In this work, a redesign of the leg assembly in a multi-purpose rehabilitation robotic device (RoboREHAB) was explored to improve hip- and knee-movement accuracy by adding an extra link and rollers to the assembly. Motion analysis was employed to test feasibility, reinforcement learning was utilized to …

Arabic Chatbots Challenges And Solutions: A Systematic Literature Review, Soufiyan Ouali, Said El Garouani

Iraqi Journal for Computer Science and Mathematics

Since the beginning of Natural Language Processing, researchers have been highly interested in the idea of equipping machines with the ability to think, understand, and communicate in a human-like manner. However, despite the significant progress in this field, particularly in English, Arabic research remains in its early stages of development. This study presents a Systematic Literature Review on challenges faced in Arabic chatbot development and the proposed solutions. Utilizing the search terms"ARABIC," "CHATBOT," "CHALLENGES," and "SOLUTION," (including synonyms) we systematically surveyed studies published between 2000 and 2023 from Scopus, Science Direct, Web of Science, PubMed, SpringerLink, IEEE Xplore, ACM, Ebesco, …

Learners' Emotions Estimation Using Video Processing Techniques For Optimum E-Learning Experience, Mohammed Ahmed Subhi, Mohammed Khaleel Hussein, Ali Abdullah Ali, Saleh Mahdi Mohammed

Iraqi Journal for Computer Science and Mathematics

Learning management systems (LMSs) have integrated multiple technologies to enhance the e-learning experience. One such technology is the emotional recognition system (ERS), which provides tutors with data on learners' emotions, including anger, sadness, happiness, and more. ERS utilizes various data sources like facial expressions, body activities, and brain signals to recognize emotions. This paper provides an overview of the ERS structure and discusses the state-of-the-art technologies in this field. The results indicate that deep learning based ERS using VGG19 for feature extraction over the FER2013 dataset is reliable with a recognition accuracy of 87% using Random Forest Algorithm

Uncovering Weaknesses In Autonomous Driving: A Formal Approach To Adversarial Scenario Generation And Falsification, Carlos O. Hernandez

Master's Theses

Autonomous vehicles utilize advanced safety features like proactive driving assistance and pre-collision alerts to minimize the risk of accidents. However, evaluating the correct functionality of these systems is complex. First, safety systems are highly sophisticated, integrating software, networking, and hardware components, many of which rely on advanced artificial intelligence and machine learning algorithms. Second, an array of dynamic factors, including numerous actors and physical variables, can influence the performance of safety mechanisms during critical scenarios. Each actor’s unique behavior introduces unpredictability, making it difficult to anticipate future states and outcomes. This thesis presents a comprehensive framework for testing autonomous vehicle …

Thorstein Veblen And His Underlying Philosophical Influences, John B. Hall

Economics Faculty Publications and Presentations

This inquiry recognizes Thorstein Veblen first and foremost as a philosopher who advanced a literature in Social Sciences, generally, and Economic Science, in particular. Veblen’s thinking and writing were supported by rich traditions drawn from notable philosophers that included among several: Charles Sanders Peirce, Immanuel Kant, and Friedrich Nietzsche. Relying upon his strong background in Philosophy, he then sought to challenge mainstream, neoclassical economics, especially. As his career developed, he would turn his talents and energies towards advancing ideas that would ultimately prove foundational for heterodox economics and, relatedly, American Institutionalism.

Journal of Economic Literature Classification Codes:
B15 – Historical, …

Unlocking The Potential: Synergizing Iot, Cloud Computing, And Big Data For A Bright Future, Zeena N. Al-Kateeb, Dhuha Basheer Abdullah

Iraqi Journal for Computer Science and Mathematics

The convergence and integration of the Internet of Things (IoT), CloudComputing (CC), and Big Data(BD) offer huge potential for transformative progress that will support the massive industrial revolution that is so prevalent in today’s digital landscape. This prompts an exploration of the synergies among these three domains and investigates how their integration can unlock new opportunities for a brighter future. This integration seamlessly connects billions of IoT devices, leverages the potential of CC, and efficiently manages vast datasets generated by these devices. The amalgamation of BDanalytics with IoT and CCempowers organizations to extract invaluable insights, foster data-driven decision-making, and fuel …

Investigating Clot-Flow Interactions By Integrating Intravital Imaging With In Silico Modeling For Analysis Of Flow, Transport, And Hemodynamic Forces, Chayut Teeraratkul, Maurizio Tomaiuolo, Timothy Stalker, Debanjan Mukherjee

Cardeza Foundation for Hematologic Research

As a blood clot forms, grows, deforms, and embolizes following a vascular injury, local clot-flow interactions lead to a highly dynamic flow environment. The local flow influences transport of biochemical species relevant for clotting, and determines the forces on the clot that in turn lead to clot deformation and embolization. Despite this central role, quantitative characterization of this dynamic clot-flow interaction and flow environment in the clot neighborhood remains a major challenge. Here, we propose an approach that integrates dynamic intravital imaging with computer geometric modeling and computational flow and transport modeling to develop a unified in silico framework to …

Resource Allocation And Edge Computing For Dual Hop Communication In Satellite Assisted Uavs Enabled Vanets, Ahmed Adil Nafea, Mustafa Maad Hamdi, Sami Abduljabbar Rashid

Iraqi Journal for Computer Science and Mathematics

VANETs are highly attractive and isused in maximum of the applications of cross-regional communication. To increase the coverage of the vehicular network, Unmanned Arial Vehicles (UAVs) are introduced, and they getconnected with the satellite networks to perform heterogeneous communication. With the help of this connectivity,the communication quality of ground level to air medium is increased.Currently the vehicle usage is highly increased and as aresults of communication link failure, improper resource allocation are arises whither abruptly assumesa stability about a network with that increasesan energy consumption and communication delay in the heterogeneous networks. In these conditions, thus study is idea of …

A Comprehensive Review On Cybersecurity Issues And Their Mitigation Measures In Fintech, Guma Ali, Maad M. Mijwil, Bosco Apparatus Buruga, Mostafa Abotaleb

Iraqi Journal for Computer Science and Mathematics

The fourth industrial revolution has seen the evolution and wide adoption of game-changing and disruptive innovation "financial technologies (FinTech)" around the globe. However, the security of FinTech systems and networks remains critical. This paper comprehensively reviews the evolving landscape of cybersecurity issues within the FinTech sector and explores effective mitigation measures. Four independent researchers reviewed relevant literature from IEEE Xplore Digital Library, ScienceDirect, Taylor& Francis, Emerald Insight, Springer, SAGE, Wiley Online Library, Hindawi, MDPI, ACM Digital Library, IGI Global, and Google Scholar. The research paper begins by examining the history and evolution of FinTech, drivers for the growth of FinTech, …

Picard And Adomian Decomposition Methods For A Fractionalquadratic Integral Equation Viaζ-Generalizedξ-Fractional Integral, Ali Hasan Ali, Alan Jalal Abdulqader, Saleh S. Redhwan, Omar Bazighifan, Awad T. Alabdala

Iraqi Journal for Computer Science and Mathematics

The primary focus of this paper is to thoroughly examine and analyze a class of a fractional quadraticintegral equation viaζ-generalizedξ-fractional integral. To achieve this, we introduce an operator that possessesfixed points corresponding to the solutions of the fractional quadratic integral equation, effectively transforming thegiven equation into an equivalent fixed-point problem. By applying the Banach fixed-point theorems, we prove theuniqueness of solutions to fractional quadratic integral equation. Additionally, The Adomian decomposition methodis used, to solve the resulting fractional quadratic integral equation. This technique rapidly provides convergentsuccessive approximations of the exact solution to the given fractional quadratic integral equation, therefore, weinvestigate the …

Can Vpac-Targeted Cu-67-Tp3805 Play A Theranostic Role For Prostate Cancer?: A Quest, Mathew L. Thakur

Department of Radiology Faculty Papers

Early and accurate detection of prostate cancer (PCa) together with effective treatment can save lives. Despite the recent advances in its treatment, the mortality trends due to PCa, in the USA, continue to be alarming with annual increase of 3%. In this brief communication, we propose a novel approach to treat PCa, its metastasis and recurrence. This is guided by a large quantity of preliminary data driven by targeting an endogenous genetic product, VPAC, expressed in high density on the cell surface at the onset of genetic mutation that ignites the cancerous transformation. A large body of preclinical and clinical …

The Energy Of Interval-Valued Complex Neutrosophic Graph Structures: Framework, Application And Future Research Directions, S.N. Suber Bathusha, Sowndharya Jayakumar, S. Angelin Kavitha Raj

Neutrosophic Systems with Applications

Graph structure is a developing field with many real-world applications and advancements, particularly effective frameworks for integrative problem-solving in computer networks and artificial intelligence systems. To define the idea of an Interval-Valued Complex Neutrosophic Graph Structure (IVCNGS), the concept of an Interval-Valued Complex Neutrosophic Set (IVCNS) is applied to the graph structure. Using the adjacency matrix to calculate the degree of vertex, we have defined some findings about the IVCNGS. Further, we compute the energy and Laplacian energy of IVCNGS. Moreover, we derive the lower and upper bounds for the energy and Laplacian energy of IVCNGS, and we have discussed …

Course Portfolio For Biochemistry 1: Structure And Metabolism (Bioc431), Didier Mena

UNL Faculty Course Portfolios

This benchmark portfolio encapsulates a comprehensive exploration aimed at enhancing the educational landscape of the BIOC431 course, a part of the general biochemistry course series (431 and 432). These courses are designed to offer a general introduction to the structure and function of cells in the body, along with their chemical reactions. Specifically, BIOC431 focuses on the structure, function, and metabolism of proteins, lipids, carbohydrates, and other major metabolic pathways. The three primary objectives addressed in this portfolio were the reevaluation of learning objectives, reassessment of assessment methods, and documentation of effective classroom strategies. Through background design, the learning objectives …