Digital Commons Network^™

Modified Gradient Based Iterative Algorithm For Solving The Generalized Sylvester-Conjugate Matrix Equation Over Generalized Centro-Symmetric Matrices, Naglaa M. El-Shazly, Mohamed A. Ramadan, Marwa H. El-Sharway

Al-Azhar Bulletin of Science

We have recently established two techniques of relaxed gradient based form in order to solve the generalized Sylvester-conjugate matrix problem through centrosymmetric as well as the centro-Hermitian matrices. The major target of this paper is to construct a new iterative strategy to obtain the solution of the aforementioned matrix equation through generalized centro-symmetric matrices by applying a modulated method of gradient based form. The performance of our proposed technique is compared to that the iterative algorithm of the relaxed gradient based form over centrosymmetric matrices. To confirm that our constructed technique is convergent, we set up some conditions. Finally, we …

Federated Learning In Wireless Networks, Xiang Ma

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence (AI) is transitioning from a long development period into reality. Notable instances like AlphaGo, Tesla’s self-driving cars, and the recent innovation of ChatGPT stand as widely recognized exemplars of AI applications. These examples collectively enhance the quality of human life. An increasing number of AI applications are expected to integrate seamlessly into our daily lives, further enriching our experiences.

Although AI has demonstrated remarkable performance, it is accompanied by numerous challenges. At the forefront of AI’s advancement lies machine learning (ML), a cutting-edge technique that acquires knowledge by emulating the human brain’s cognitive processes. Like humans, ML requires …

Examining The Relations Between Number Of Opportunities To Self-Monitor And Self-Monitoring On-Task Or Accuracy In Children, Alison Ruby

LSU Doctoral Dissertations

Difficulties in academic achievement have been linked to adverse outcomes such as increased problem behavior and delays in development (Hinshaw, 1992). Early education should include training to self-monitor, as self-monitoring can improve academic performance and has a wide range of uses (Harris et al., 2005). Previous literature typically uses frequent self-monitoring opportunities ranging from every 30 seconds to 1 minute. The purpose of this study was to identify the effects of the number of self-monitoring opportunities when self-monitoring on-task behavior and self-monitoring accuracy of task completion, on-task behavior, disruptions, and accuracy of self-monitoring (types of errors) and determine the preferences …

Quantifying Variation Across 16s Rrna Gene Sequencing Runs In Human Microbiome Studies, Andrew J. Hoisington, Christopher E. Stamper, Joseph C. Ellis, Christopher A. Lowry, Lisa A. Brenner

Faculty Publications

Recent microbiome research has incorporated a higher number of samples through more participants in a study, longitudinal studies, and metanalysis between studies. Physical limitations in a sequencing machine can result in samples spread across sequencing runs. Here we present the results of sequencing nearly 1000 16S rRNA gene sequences in fecal (stabilized and swab) and oral (swab) samples from multiple human microbiome studies and positive controls that were conducted with identical standard operating procedures. Sequencing was performed in the same center across 18 different runs. The simplified mock community showed limitations in accuracy, while precision (e.g., technical variation) was robust …

Measuring Accuracy Of Dolphin Imaging Software In Predicting Upper Jaw Soft Tissue Profile Changes In Class Ii Adult Patients Treated With Extraction Versus Non-Extraction., Amr Amin Arif, Esam Nasef, Amira Aboalnaga

Future Dental Journal

Abstract

Objective: To assess the accuracy of Dolphin Imaging software in predicting upper jaw profile changes in class II patients treated by extraction and non-extraction.

Methods: The records of 60 Class II div 1 patients were selected; 30 patients treated by extraction of upper first premolar and 30 patients treated by non-extraction. The Pre- and post-treatment lateral cephalometric x-rays of each patient were traced using Dolphin software. The actual hard tissue changes due to treatment were calculated and installed into the prediction module to generate the predicted profile. The soft tissue measurements of the actual post-treatment and predicted profiles were …

A Red Fuji Apple Appearance Grading Method Based On Improved Whale Optimization Algorithm And Cnn, Liu Sujiao, Lu Mingxing, Wang Chunfang, Zhao Zifeng, Liu Yi

Food and Machinery

Objective: In order to improve the accuracy of machine vision technology in grading the appearance quality of red Fuji apples, a red Fuji apple appearance grading method based on improved whale optimization algorithm （WOA） and CNN is proposed. Methods: A red Fuji apple image database with different appearance quality levels was established, and the database images were preprocessed so as to improve the training effect and generalization ability of the model. The improved CNN-LSTM was designed as the weighted grey correlation method was used to compress the CNN convolution scale, in order to reduce redundant interference between features and improve …

Understanding Cadaver Dogs, Carlyn Sampson

Themis: Research Journal of Justice Studies and Forensic Science

The exploration of cadaver dogs as an accuracy and reliability tool in the field of forensic science. Due to limited research on cadaver dogs, this paper will illustrate the main factors that are crucial to making reliable and accurate scent detection dogs. It also highlights the olfactory system of dogs, which sets them apart from other mammals and enables them to detect scents with a high degree of accuracy. It will dive into the research on the genetics of canine olfaction, and the role of olfactory receptor genes in scent identification. It is demonstrated that different dog breeds are comparable …

Apple Weight Estimation Based On Joint Image Optimal Feature Extraction And Improved Rbf Neural Network, Zhao Min, Wang Chengrong, Li Run

Food and Machinery

Objective: Taking Aksu apples as an example, a joint image optimal feature extraction and improved RBF neural network learning apple weight estimation method is designed to overcome the high cost and large error of manual grading and weighing. Methods: Firstly, an apple image acquisition system was established to obtain apple foreground image information. Secondly, the optimal subset extraction strategy for apple image feature sets was designed, by transforming the process of extracting the optimal subset into an objective function optimization problem, and an improved discrete locust optimization algorithm was designed to obtain the optimal apple image feature subset. Finally, a …

Empowering Support Staff: Enhancing Hcps Through Performance Evaluation And Strategic Feedback, Sarah K. Gagnon, Cecily Gardner, Blake Roberts, Erin Schwartz, Candace Wilkerson

Doctor of Education Capstones

Hanover County Public Schools (HCPS) submitted a Request for Assistance (RFA) to doctoral students at Virginia Commonwealth University (VCU) to improve their support staff evaluation system. The doctoral team focused on developing an updated evaluation tool that effectively measures support staff job performance. To do so, the team conducted a descriptive study and developed a framework, Core Evaluation Components (CEC), to support the use of research-informed components in a quality K12 staff evaluation. The methods used in this study were a survey and a qualitative document analysis. The survey was used to understand the opinions, perspectives, and input from both …

Media Coverage Of The Covid-19 Pandemic: A Case Of New Vision And Daily Monitor In Uganda., Eve Atukunda

Theses & Dissertations

The media performs a significant role in shaping and transforming public perceptions during pandemics. This study analysed the media coverage of COVID-19 in Uganda, focusing on its impact on public awareness, government response, and societal behaviour. The study applied a quantitative approach to content analysis of news articles and official government communication, with interviews of journalists at the helm of COVID-19 reporting. The analysis assessed the framing of COVID-19 news in print media platforms. It examined the dynamics between media, government, and public health officials, evaluating the effectiveness of information dissemination and management of misinformation. The initial focus of media …

The Efficacy Of Robotic-Assisted Total Knee Arthroplasty Compared To Manual Total Knee Arthroplasty In Regards To Accuracy, Operative Time, And Patient Outcome, Chris Ewell

Theses

Objectives: This review evaluates the literature comparing Robotic-assisted and Conventional Knee Arthroplasty based on accuracy, operative time, and patient outcomes. It aims to determine the potential of robotic-assisted surgeries in orthopedics and other surgical fields to provide guidance to medical professionals on best practices in Knee Arthroplasty. Methods / Evidence Acquisition: This study conducted a search for evidence primarily on two databases: PubMed and Web of Science, with two additional articles found in the National Library of Medicine. The search utilized the term “Robotic Assisted Total Knee Arthroplasty” matched with various Mesh terms. Only articles published between 2018 and the …

Correcting Federal Rule Of Evidence 404 To Clarify The Inadmissibility Of Character Evidence, Hillel J. Bavli

Faculty Journal Articles and Book Chapters

Courts misinterpret Federal Rule of Evidence 404(b)(2) as an exception to Rule 404(b)(1)’s prohibition on character evidence rather than a mere clarification that emphasizes the permissibility of other-acts evidence whose relevance does not rely on propensity reasoning. This misinterpretation turns the rule against character evidence on its head by effectively replacing Rule 404 with a Rule 403 balancing—and one that incorrectly treats character inferences as probative rather than prejudicial, thereby favoring admissibility rather than exclusion. Consequently, as currently interpreted, Rule 404(b)(2) generates substantial unpredictability and verdicts based on conduct not at issue in a case.

I therefore propose that the …

Using Feature Selection Enhancement To Evaluate Attack Detection In The Internet Of Things Environment, Khawlah Harahsheh, Rami Al-Naimat, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

The rapid evolution of technology has given rise to a connected world where billions of devices interact seamlessly, forming what is known as the Internet of Things (IoT). While the IoT offers incredible convenience and efficiency, it presents a significant challenge to cybersecurity and is characterized by various power, capacity, and computational process limitations. Machine learning techniques, particularly those encompassing supervised classification techniques, offer a systematic approach to training models using labeled datasets. These techniques enable intrusion detection systems (IDSs) to discern patterns indicative of potential attacks amidst the vast amounts of IoT data. Our investigation delves into various aspects …