Digital Commons Network^™

Performance Assessment Of Operators Under Digital Simulator-Based Training In Automated Industrial Systems, Kamola Abdullaeva

Chemical Technology, Control and Management

This article proposes a comprehensive approach to training process operators, based on computer simulators integrated with digital twins, SCADA/DCS systems, real production data, and artificial intelligence algorithms. This approach is particularly relevant given the increased requirements for safety, productivity, and reliability of industrial facilities, as human factors are often the main cause of accidents (up to 60-80% of cases). The architecture of the simulator complex is designed to accurately emulate steady-state, transient, and pre-emergency operating modes of equipment, which are not achievable under actual production conditions. The experiment compared the training effectiveness of two groups of operators: one that used …

Retinal Vasculature In Schizophrenia Spectrum Disorder, Caroline Simon Sherman, Erik Gunnarsson, Nycole Hidalgo, Victoria Chen, Kevin Zhang, Shuo Chen, Hwiyoung Lee, Hugh O'Neill, L Elliot Hong, Osamah Saeedi

Faculty, Staff and Student Publications

The purpose of this research is to determine whether retinal vasculatures differ between participants with schizophrenia spectrum disorder (SSD) and controls. Ninety participants (51 SSD, mean age 35.8 ± 13.5, and 39 controls, mean age 35.5 ± 11.4) underwent 3 × 3 mm2 macular and 6 × 6 mm2 optic nerve head (ONH) optical coherence tomography angiography (OCTA) scans. En face macula and ONH region images were divided into quadrants, binarized, and then skeletonized. Skeletonized vessel densities were compared between our two groups. Additionally, the foveal avascular zone (FAZ) size and acircularity index were compared between the two groups. There …

Effect Of Different Deep Margin Elevation Thicknesses Versus No Elevation On The Fracture Resistance Of Indirect Restorations: An In-Vitro Study, Fleurene Daraze, Karim Corbani, Brigitte Douaihy, Hadi Jomaah, Cynthia Kassis

International Arab Journal of Dentistry

Objectives: This in-vitro study aimed to evaluate whether different deep margin elevation (DME) thicknesses (1 mm, 2 mm, 3 mm) influence the fracture resistance and fracture type of molars restored with CAD/CAM lithium disilicate overlays, compared to no elevation.

Methods: Seventy-six extracted human molars were randomly divided into four groups (n=19) based on Deep Margin Elevation thickness: 0 mm (control), 1 mm, 2 mm, and 3 mm. Standardized Class II cavities were prepared with cervical margins extending 1 mm below the cementoenamel junction. DME was performed using a low-viscosity hybrid composite. Using a CAD/CAM workflow, overlays were designed and milled …

The Effect Of Loading On The Success Of Dental Implants After Immediate Extraction Compared To Delayed Dental Implants: A Systematic Review, Hassen Merzouk, Samir Habibi, Ben Ali Boutabout

International Arab Journal of Dentistry

Introduction: The study focuses on dental implants, which are used to replace missing teeth. A key decision in implant dentistry is when to place the implant relative to tooth extraction. This review compares two main approaches: immediate implant placement (placing the implant during the same surgery as tooth removal) and delayed implant placement (placing the implant after the extraction site has healed, typically 6 to 12 months later).

Objectives: The study aims to compare the success rates and complications associated with these two-timing strategies, especially concerning the implant’s ability to withstand chewing forces. The primary objective was to compare post-extraction …

Review Of “Hitler’S First War: Adolf Hitler, The Man Of The List Regiment, And The First World War” By Thomas Weber, Andrew Iarocci

Canadian Military History

Review of Hitler’s First War: Adolf Hitler, the Man of the List Regiment, and the First World War by Thomas Weber

Development And Evaluation Of A Smart Vacuum-Assisted Suspension System For Transtibial Prostheses, Zahraa Kathem Ali, Wajdi Sadik Aboud

Al-Bahir

A prosthetic socket is essential for achieving comfort, gait symmetry, and overall satisfaction for amputees. Effective suspension systems are crucial for securely attaching prostheses, thereby optimizing comfort, functional performance, and long-term limb health. This study aimed to develop and evaluate an intelligent vacuum-assisted suspension system for transtibial prostheses to improve socket fit, gait stability, and reduce residual limb movement. The system integrates force-sensitive resistors (FSRs) and an inertial measurement unit (MPU6050) with accelerometer and gyroscope sensors, continuously monitoring interface pressure and limb motion. Real-time data from these sensors dynamically adjusts vacuum pressure based on the user's gait pattern .Quantitative gait …

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.

Is It Rape Or Consent? College Men Just Don’T Know, Stephanie A. Navarro Silvera, Eva S. S. Goldfarb, Amanda S. Birnbaum, Lisa D. Lieberman

Department of Public Health Scholarship and Creative Works

Introduction: Women and LGBTQ+ undergraduates face higher rates of sexual assault and rape compared to cisgender male peers—the overwhelming majority of perpetrators. Federal policies have aimed to curb campus sexual violence, yet questions remain about the efficacy of consent education, particularly among cisgender heterosexual men. Methods: This study surveyed 1567 undergraduate students at a large Northeastern public university in 2017 and 2022. Responses to a nine-item consent scale were analyzed by gender, sexuality, and demographic factors. Results: Cisgender heterosexual (cis-het) men had poorer understanding of consent compared to women and LGBTQ+ students, both in 2017 and 2022. Cis-het men’s consent …

Mediapipe-Based Extraction Of Joint Rom And Position From Patient Videos For The Functional Movement Screen: An Exploratory Study, Joshua Paul Verdillo, Lily Ann Bautista

Philippine Journal of Physical Therapy

Introduction. The Functional Movement Screen (FMS) is widely used to identify movement deficiencies and potential injury risk. However, its reliance on visual inspection introduces subjectivity, requires specialized training, and necessitates face-to-face assessment. Advances in computer vision, offer opportunities to automate and better objectify functional movement assessment. This exploratory study aimed to evaluate the feasibility of using a MediaPipe-based system, Software-Optimized Movement Assessment (SOMA), to extract joint range of motion (ROM), joint position, and compensatory movement patterns from patient videos during FMS performance.

Methods. SOMA was developed using MediaPipe Pose and MediaPipe Hands libraries integrated with Python-based tools to analyze videos …

Developing A Vietnamese Text Summarization Large Language Model On Limited Hardware, Tin Pho

Master's Theses

Text summarization models have achieved significant growth during the last few years because of major Large Language Model (LLM) technological advancements. The application of LLMs are widely used in news distribution (TL;DR news), translation tools (DeepL Translate), or virtual assistants (ChatGPT, DeepSeek, Claude, etc.). However, the progress has not yet reached all languages equally. The Vietnamese language is used by more than 90 million people, but the language is not as highly developed for LLM as it has many homophones, five different tones that affect meaning of words, and irregular grammar compared to other languages (e.g. English, Spanish, etc.). Also, …

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 …

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 …

Comparing The Effectiveness Of Eggshell Spectra From Laser-Induced Break-Down Spectroscopy And Near-Infrared Spectroscopy Using Principal Compo-Nent Analysis To Determine The Authenticity Of Organic Eggs, Ahmad Qusthalani, Rara Mitaphonna, Muliadi Ramli, Rajibussalim Rajibussalim, Kurnia Lahna, Nasrullah Zaini, Nasrullah Idris

Makara Journal of Science

This study aimed to explore the potential of modern spectroscopy in the authentication of organic and non-organic chicken eggs using near-infrared spectroscopy (NIRS) and laser-induced breakdown spectroscopy (LIBS) spectra. A total of 175 eggs were analyzed, which were grouped into seven categories based on the source of feed given: 100% organic, 100% non-organic, 75% organic, 75% non-organic, 50% organic, free-range chickens, and eggs obtained from the local traditional market. Each group consisted of 25 eggs. NIRS spectra were recorded in the wavelength range of 350–2500 nm, whereas LIBS spectra were recorded in the range of 200–900 nm. A total of …

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 …

Review Of Video Steganography By Using Deep Learning Methods: Datasets, Techniques, And Evaluations, Noor Fahem Sahib, Soukaena Hassan Hashem, Ekhlas Falih Naser

Journal of Soft Computing and Computer Applications

The growing prevalence of cyber threats, including fraud and attacks, has intensified the demand for secure methods of safeguarding confidential information exchanged between users. As telecommunications increasingly rely on multimedia data, video steganography has become a prominent technique to address these concerns. By embedding sensitive data within video files, this approach enhances protection against unauthorized access and common internet-based attacks, offering a robust layer of security in an era of escalating digital risks. With the introduction of Deep Learning (DL) steganography methods recently, video steganography can be defined as a rapidly developing subject within information security. This study provides a …

The Tax Adviser, Volume 8, Number 6, June 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

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

Tax Adviser

No abstract provided.

Tax Trends, E. S. Linett

Tax Adviser

No abstract provided.

Washington Report: Responsibilities Statement No. 10, Thomas R. Hanley

Tax Adviser

No abstract provided.

Spotlight, Robert F. Manning

Tax Adviser

No abstract provided.

Crossword: Words Of Change, Josh Grauer

Tax Adviser

No abstract provided.

Tax Clinic, Paul Farber

Tax Adviser

No abstract provided.

Transferring Patents And Know-How, Steven J. Cohen, John C. Suttle

Tax Adviser

No abstract provided.

Estate Planning: Significant Recent Developments Concerning Estate Planning (Part Iii) The, Byrle M. Abbin, Robert H. Daskal, David K. Carlson

Tax Adviser

No abstract provided.

Viewpoint: Managing The Erisa Requalification Crunch, Alvin D. Lurie

Tax Adviser

No abstract provided.

The Tax Adviser, Volume 8, Number 4, April 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Tax Clinic, Peter Elder

Tax Adviser

No abstract provided.

Reits: Tax Planning Under The ’76 Act, Burton M. Mirsky, Alan Yates

Tax Adviser

No abstract provided.