Digital Commons Network^™

Pre-Nesting Behavior Of The Swallow-Tailed Kite (Elanoides Forficatus), Including Interference By An Unmated Male With A Breeding Pair, Lawrence Kilham

Journal of Raptor Research

No abstract provided.

Decomposition Of Raptor Pellets, James R. Philips, Daniel L. Dindal

Journal of Raptor Research

No abstract provided.

Diets Of North American Falconiformes, Steve K. Sherrod

Journal of Raptor Research

No abstract provided.

Peregrine Prairie Falcon Interaction, Brian James Walton

Journal of Raptor Research

No abstract provided.

Studies On The Karyotype Of The Red-Tailed Hawk (Buteo Jamaicensis), Kathryn L. Pape, F. X. Ogasawara

Journal of Raptor Research

No abstract provided.

Announcements, Journal Of Raptor Research

Journal of Raptor Research

No abstract provided.

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

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 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 …