Digital Commons Network^™

Effectiveness Of Different Home Bleaching Treatments On Color Change And Tooth Sensitivity: A Split-Mouth Design, Tarek Hanbali, Rim Bourgi, Carlos Enrique Cuevas-Suárez, Monika Lukomska-Szymanska, Walter Devoto, Nicolas Nassar, Naji Kharouf, Louis Hardan

International Arab Journal of Dentistry

Objectives: Dental at-home bleaching is a widely recognized and effective treatment for improving the shade of anterior teeth. However, the impact of varying application times of carbamide peroxide (CP) concentrations on whitening efficacy and tooth sensitivity (TS) remains unclear.

Methods: In this split-mouth, randomized clinical trial, 80 participants were divided into two groups (n = 40 each) to receive either 10% or 16% CP gel for home bleaching. Different application times were tested. Tooth color was measured using the Optishade colorimeter, and TS was evaluated via a five-point analog numerical rating scale. The Friedman test with post hoc Tukey test …

Comparative Evaluation Of The Solubility Of Three Commonly Used Root Canal Sealers When Exposed To Xylene And Endosolv: An In Vitro Study, Aparna Palekar, Piyush Mantri, Basawaraj Biradar, Mukund Singh, Vaidehi Joshi, Pushpal Ingle

International Arab Journal of Dentistry

Objectives: This in vitro study compared the solubility of three root canal sealers, AH Plus (epoxy resin-based), MTA Fillapex (MTA-based), and Cerafill RCS (bioceramic), in two solvents: Xylene and Endosolv.

Methods: Sixty standardized cylindrical specimens were prepared using the three sealers of interest. The specimens were divided into six groups (n = 10) and immersed in either Xylene or Endosolv for 10 minutes. Solubility was assessed by calculating the percentage weight loss before and after immersion. Data were analysed using one-way ANOVA and Tukey’s post hoc test (α= 0.05).

Results: All sealers exhibited statistically significant solubility in both solvents (p …

Artificial Intelligence, An Aid In Teledentistry: A Review, Kavery Ittira Kuttappa, Mamatha Shetty, Upasana Reddy, Srilakshmi Mahadevan

International Arab Journal of Dentistry

The central question is whether teledentistry can effectively access and provide treatment to dental patients. This review seeks to examine how teledentistry improves oral health services through the use of various enabling technologies. This explores the integration of artificial intelligence in teledentistry in modern oral healthcare. Teledentistry expands its access to dental services, especially in remote and undeserved communities through synchronous, asynchronous and remote patient monitoring while reducing costs, logistical barriers and chairside time. It shifts its dynamic from a curative model to a proactive preventive one which focuses on patient centered care. Artificial Intelligence (AI) includes machine learning, deep …

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 …

Composite Flours For Sustainable Food Systems: Integrating Nutritional, Environmental, And Climate Resilience Strategies, Rashmi H. Poojara, Soumya P S, Alvina Rose, Niva Somarajan

Journal of Environmental Science and Sustainable Development

Composite flour blends prepared from cereals, millets, tubers, legumes, and vegetables have gained increasing attention due to their potential to enhance nutritional quality, improve functional properties, and support sustainable food systems. Previous studies have largely focused on individual nutritional or functional attributes, with limited integration of environmental and health perspectives. This review aimed to systematically analyze how composite flours simultaneously influence nutritional quality, functional performance, health relevance, and environmental sustainability within a unified analytical framework. A systematic literature review was conducted following PRISMA guidelines. Peer-reviewed studies published between 2014 and 2025 were retrieved from PubMed, Scopus, Web of Science, and …

A Pouch Of Trouble For The Pancreas: Unmasking A Case Of Lemmel Syndrome, Aravindharaj Tamilselvan, Sabari Ramesh

Manipal Journal of Medical Sciences

Lemmel syndrome is a rare cause of biliary and pancreatic obstruction arising from periampullary duodenal diverticula. We report a 72-year-old woman presenting with acute pancreatitis, biliary dilation, and a periampullary diverticulum causing distal CBD compression. Multimodality imaging, including CT and MRCP, established the diagnosis. Although ERCP was advised, the patient declined and improved with conservative management. Early recognition of this uncommon entity is essential to prevent recurrent pancreatobiliary complications.

Review And Analysis Of Methods And Techniques For Refining Vegetable Oils, Umidjon Ruziev, Marufjon K. Shodiev

Chemical Technology, Control and Management

This article provides a comparative analysis of the main methods of vegetable oil refining: alkaline (chemical), physical, and combined. It examines the stages of the technological process and the applicability of each method for various types of oils (palm, soybean, cottonseed, sunflower, rapeseed, etc.). Attention is paid to energy consumption at the stages of neutralization, washing, drying, and deodorization, as well as the impact of equipment performance on specific energy consumption. Approximate calculations of the distribution of thermal and electrical energy during the processing of 1 kg of oil are provided. It is noted that physical refining, despite the high …

Improvement Of Technology And Control And Management Systems Of The Plant Oil Refination Process, Elyor Samadov

Chemical Technology, Control and Management

The article examines modern approaches to modernizing vegetable oil refining processes from the perspective of increasing energy efficiency, environmental friendliness, and final product quality. Traditional and innovative technologies are analyzed, with a focus on the implementation of membrane filtration, automated control systems, heat exchange complexes, and renewable energy sources. It has been shown that the use of intelligent control systems, high-precision membrane filters, and heat regeneration allows for a 25% reduction in energy consumption, a 20% reduction in greenhouse gas emissions, and a significant improvement in acidity, color, and impurity content in the product. The obtained results show the effectiveness …

Comprehensive Mechatronic Design Methodology For 6-Dof Stationary Lower Limb Rehabilitation Exoskeleton Robot With Safety-Integrated Control Architecture, Javlonbek Rakhmatillaev Mr., Nodirbek Kimsanboyev Mr., Umidjon Takabaev Mr., Zafar Juraev Dr.

Chemical Technology, Control and Management

This paper presents the mechatronic design of a proposed six-degree-of-freedom (6-DOF) stationary lower limb rehabilitation exoskeleton (SLLRE) robot, developed through a comprehensive mechatronic design methodology that includes mechanical design, actuator and sensor selection, and the development of a control structure based on a safety-oriented control approach. The proposed 6-DOF SLLRE mechanical design introduces a comprehensive mechanical structure comprising bilateral hip, knee, and ankle joints, degrees of freedom, joint ranges of motion, human parameters for rehabilitation training, as well as the frames and structural elements of the proposed system. Furthermore, the selection of appropriate sensors, actuators, and control architecture for the …

Design Of A Fuzzy Set-Point Tracking Controller Based On The State-Dependent Control Characteristics Of Fuzzy Logic And Pid For Temperature Control Systems In Electrical Equipment, Rahim Mammadzada

Chemical Technology, Control and Management

This paper presents a Fuzzy-SPT (Fuzzy Set-Point Tracking) controller designed to combine the strengths of FLC (Fuzzy Logic Control) and PID (Proportional-Integral-Derivative) control while mitigating their limitations across varying operating conditions. Inspired by state-dependent reasoning but implemented within a single controller, the method uses internal logic to adapt the control effort across different operating regions. FLC handles rapid changes and nonlinear transients, enabling fast system response without overshoot, while PID-like integral action is activated when the FLC reaches steady state or enters a threshold region near the set point, eliminating residual errors and maintaining stable performance. By applying each behavior …

Empirical Analysis Of Machine Learning Models For Predicting Equipment Failures Using Iot Sensor Data, Yusuf Shodiyevich Avazov

Chemical Technology, Control and Management

This article examines the problem of detecting and predicting industrial equipment faults using IoT sensor data through machine learning techniques. Sensor readings such as temperature, vibration, pressure, voltage, and current, as well as FFT-based features, were statistically analyzed. Class imbalance and low signal informativeness were identified as key factors limiting model accuracy. Results obtained from Logistic Regression, Random Forest, and XGBoost models were comparatively evaluated, showing that when ROC-AUC values remain around 0.5, distinguishing fault and non-fault states becomes challenging. Correlation and feature-importance analyses confirmed the absence of strong dominant indicators. The findings highlight the need to improve sensor architecture …

Current Trends In Industrial Gas Furnace Control And Monitoring Systems, Utkir Uktam O'Gli Kholmanov

Chemical Technology, Control and Management

This paper presents a critical review of modern control methods applied to industrial gas-fired furnaces. Conventional PID controllers and their advanced modifications, including Advanced Process Control (APC) and cascade control schemes, are analyzed alongside Model Predictive Control (MPC) approaches. In addition, intelligent control algorithms—such as fuzzy logic and neuro-fuzzy systems (Fuzzy, ANFIS)—are examined. The study also considers advanced sensing technologies, including Tunable Diode Laser Absorption Spectroscopy (TDLAS), acoustic pyrometry, and infrared pyrometers, as well as digital twins and CFD-based modeling techniques. Particular attention is given to a comparative evaluation of control strategies based on key performance criteria, including energy efficiency, …

Skeleton-Based Human Action Recognition Using Spatio-Temporal Latent Features With A Gcn Model, Avazjon Marakhimov, Kabul Khudaybergenov, Mominov Zakhriddin

Chemical Technology, Control and Management

Owing to its resilience to visual noise and viewpoint variations, skeleton-based analysis has become a cornerstone of human action recognition research. Despite its practical significance, existing methodologies often suffer from a reliance on single-stream skeletal representations, which fail to encompass the full complexity of action features. This study introduces Latent Features for Human Action Recognition (LFHAR), a novel architecture designed to overcome these limitations by utilizing diverse spatio-temporal latent representations for improved feature extraction. The approach applies graph-based transformations to individual skeletal frames in temporal sequences, then arranges the derived graph features into spatio-temporal matrices. Evaluation of standard datasets demonstrates …

Models And Algorithms Of Control Mechanisms In Information Exchange Processes, Madina M. Fozilova, Dilshoda N. Uchqunova

Chemical Technology, Control and Management

In modern digital systems, efficient and reliable information exchange is essential for the stability of corporate systems. Traditional data management models struggle to detect and eliminate invalid, incomplete data at early stages, resulting in reduced accuracy and system inefficiency. This article proposes an advanced framework for controlling information exchange processes through the development of a Verification and Filtering algorithm. The algorithm operates within a multi-layered conceptual model that includes data input, control, validation, optimization, and decision layers. Acting as the core component, the Verification and Filtering algorithm distinguishes valid from invalid records in real time, ensuring data integrity before storage. …

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 …

Feeding Difficulties And Survival Outcomes In Advanced Dementia: A Multicentre Retrospective Study From Oman, Fatma Al-Shamsi, Ahmed Al-Darmaki, Said A Al-Busafi, Hamed Al-Sinawi, Ahmed Al-Harrasi, Athba Al-Ajmi, Abdullah Mohammed Al Alawi

Sultan Qaboos University Medical Journal

Objectives: Feeding problems are among the most common in patients with advanced dementia. This study aimed to assess the prevalence of feeding problems and evaluate survival outcomes following the onset of feeding problems in patients with advanced dementia. Methods: A retrospective cohort study of adults with advanced dementia identified from the electronic patient record using diagnostic codes and keyword searches was conducted. This multicentre study took place at Sultan Qaboos University Hospital, Muscat, Oman and the Royal Hospital, Muscat, Oman, from January 2010 to December 2023. Results: A total of 202 patients were included. The median age was 78.5 …

Metabolic Syndrome As A Risk Factor For Postoperative Complication In Patients Undergoing Spine Surgery: A Systematic Review And Meta-Analysis Of More Than 3 Million Cases, Amir-Mohammad Asgari, Farhad Shaker, Mohammad Taha Pahlevan Fallahy, Sourena Sharifkashani, Alireza Soltani Khaboushan, Dorsa Salabat, César Carballo Cuello, James Harrop, Puya Alikhani

Department of Neurosurgery Faculty Papers

OBJECTIVE: Including conditions like obesity, diabetes, hypertension, and dyslipidemia, metabolic syndrome disrupts metabolic homeostasis and impairs recovery, increasing the risk of surgical complications. This study evaluates the impact of metabolic syndrome on spine surgery outcomes, addressing inconsistencies in the existing literature.

METHODS: Four databases were searched until December 2024 for studies comparing the postoperative complication rates of spine surgeries between patients with and without metabolic syndrome. Following deduplication, 2 authors independently reviewed the studies. For each included study, demographics and incidence rates of postoperative complications were extracted separately by 2 authors. Data analysis was performed using R.

RESULTS: After deduplication, …

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 …

Seemingly Unrelated Exponetiated Exponential Geometric Regression Model, Oluwaseun Michael Famoni, Bamidele Mustapha Oseni

Al-Bahir

In the class of seemingly unrelated regression models, the dispersion nature of the dependent variable can greatly impact the efficiency and reliability of the parameter estimates for the model. Despite this, the seemingly unrelated Poisson regression model and seemingly unrelated negative binomial model are two most commonly used count data models for these class of regression models. This study introduces the seemingly unrelated exponentiated exponential geometric regression (SUEEGR) for modelling count data which might be equi-, under, or over-dispersed. Parameters estimation for the model was carried out using the method of maximum likelihood. A simulation study was carried out to …

Evaluating The Analgesic Activity Of The Ethanolic Leaf Extract Of Ipomoea Aquatica (Convolvulaceae), Blessy H. Vale, Lenny Shai Somer, Julie Mae Suico, Roselle L. Remulta, Junnin Gay Garay

Pacific Journal of Health

Ipomoea aquatica, commonly known as water spinach, is a leafy vegetable widely consumed in tropical and subtropical regions for its nutritional benefits. This study investigated the potential analgesic activity of the ethanolic leaf extract of I. aquatica, as no prior scientific evidence supports its role in acute pain management. Male Swiss albino mice were used in an acetic acid-induced writhing test, with aspirin as the positive control and plain normal saline solution (PNSS) as the negative control. The extract was administered at low, medium, and high doses. In the writhing test, I. aquatica significantly inhibited the writhing response …

Virtual Process Modeling Of Metal Additive Manufacturing Basedon Direct Energy Deposition In-Situ Failure, Jachin J. Ramirez

2025 Fall Honors Capstones Projects - Archive

This study builds a mesoscale finite element simulation to examine how internal stresses form during additive metal manufacturing using directed energy deposition. The goal is to track how heat and stress develop layer by layer and determine where a failure criterion could appear during the print. The model uses temperature-dependent material properties for Inconel 718 and a moving heat source defined with custom G-code.

Thermal results are mapped into a mechanical simulation to watch stress accumulate as new layers are added. Different scan paths were tested to determine whether varying heat exposure could reduce the extent of a region exceeding …

'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.

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. …

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.

Spinal Cord Injury In The Context Of Major Motor Vehicle Collision Trauma: A Retrospective Ecological Analysis Of Global Estimates Across Income Groups, Tim Nutbeam, Jessica Caterson, Colleen J. Saunders, Hendry R. Sawe, Sabariah Faizah Jamaluddin, Ian Roberts, Jason E. Smith, Paulus Ambunda, Willem Stassen

Peninsula Medical School

Introduction: Road traffic injuries (RTIs) are a leading cause of death globally, especially in low- (LICs) and middle-income countries (LMICs). Despite this burden, post-crash care remains underdeveloped. Many clinical principles of post-crash care focus on spinal cord injury (SCI), yet its incidence is poorly understood. The aim of this study was to describe the incidence of death and non-fatal RTI with a specific focus on SCIs using Global Burden of Disease (GBD) 2019 data. Methods: A retrospective ecological analysis was conducted using GBD 2019 data for 204 countries and territories (2012–2019). We examined the MVC-related mortality, SCIs, and major non-fatal …

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 …

Standardizing Assessment Of Clinical Performance In Physical Therapy: From Good Intentions To Shared Standards, Arvie Vitente, Carmina Rafael, Rolando Lazaro

Philippine Journal of Physical Therapy

Clinical education is the crucible in which physical therapy students integrate knowledge, skills, and professional judgment into safe, ethical, and person-centered practice. Yet globally, the assessment of clinical performance remains highly variable, shaped by disparate tools, rubrics, and levels of assessor preparation. While several countries have adopted nationally standardized approaches to clinical assessment, many contexts—including the Philippines—continue to rely on locally developed or institution-specific systems, resulting in inconsistent expectations, inequitable student experiences, and limited capacity for benchmarking, research, and quality improvement. This editorial argues that good intentions alone are insufficient and that the profession must move toward shared, trustworthy standards …

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 …

Precision Education In Health Sciences Education: A Call-To-Action For Developing An Interprofessional Strategy, Arvie Vitente, Jennifer Bosworth, Robert Sweet, Rebecca Cozzi, Christopher Galloway, Piotr Szczurek, Melanie Obispo-Young, Eron Bozec, Erica Brkovic, Tina Bobo, Jennifer Lubinski

Philippine Journal of Physical Therapy

Introduction. Growing learner diversity, expanding biomedical knowledge, and rapid clinical digitization have exposed the limits of on-size-fits-all health sciences training. Competency-Based Education (CBE) has sharpened the focus on outcomes, yet many programs still move learners through fixed sequences, infrequent assessments, and retrospective remediation. Precision Education (PE) offers a complementary, data-enabled approach that uses learning analytics, artificial intelligence (AI), and continuous feedback loops. Embedded within CBE, PE converts competencies from static milestones into dynamic trajectories that can be measured, visualized, and adjusted in real time across the curriculum. This abstract highlights the need for an interprofessional strategy to design, fund, and …

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, …