Digital Commons Network^™

A Comparative Study Of Animal Proverbs In Myanmar And Thai Languages, Thet Su Mon, Sunantha Thetsuk, Su Su Khin

Journal of Letters

The objectives of this study are to: 1) analyze and compare animal proverbs in Myanmar and Thai, and 2) analyze the values that are reflected in animal proverbs in Myanmar and Thai. The research methodology used for this study was qualitative. According to objective 1, the study's findings can be divided into three categories: 1) Myanmar and Thai proverbs that are similar and use the same kinds of animals; 2) Myanmar and Thai proverbs are similar and use different kinds of animals; and 3) Myanmar and Thai proverbs are similar and use non animal things. The findings of the analysis …

Phra Malai Of Wat Thewa Sangkharam: An Orthographic Analysis And Its Social And Cultural Connections Within The Local Context Of Kanchanaburi, Jaturong Phiromya, Phatchaya Luangdaeng, Kriangkri Thongsri

Journal of Letters

This research article aims to 1) analyze the Phra Malai manuscript of Wat Thewasangharam from a paleographic perspective, and 2) examine the interrelationship between this manuscript and the local society and culture of Kanchanaburi. A qualitative research methodology was employed, incorporating fieldwork data collection and documentary analysis and synthesis. The findings indicate that 1) the Phra Malai manuscript of Wat Thewasangharam is a Buddhist didactic text inscribed on white Thai folding books (samut thai khao), written in Khmer–Pali and Khmer–Thai scripts, and recorded in both Pali and Thai. The script characteristics correspond to the early to mid-Rattanakosin period, spanning the …

Knowledge Transfer For Improvement Of Local Administrative Organizations Capacities In Flood Hazard Risk Management Using Participatory Geographic Information System At Dan Makham Tia, Kanchanaburi, Komsan Sriboonruang, Nirut Jorncharoen, Malinee Kumkrua

Journal of Letters

This research aims to (1) create risk and vulnerability maps of flood hazard using participatory geographic information systems in Dan Makham Tia District, Kanchanaburi Province, (2) transfer knowledge on flood hazards risk management based on data from the flood risk and vulnerability maps to local administrative organizations ; and (3) transfer the action plans based on the maps to improve the capacities of local administrative organizations in flood hazard risk management. The sample groups were officers of Charakhe Phuek Subdistrict Administrative Organization, disaster prevention and mitigation volunteers, public health volunteers, rescue workers, and disaster victim households. The research framework included …

Parameter Identification Of A Pi Controller For A Wind Energy Conversion System Based On Dfig, Mariam Hesham, Dina S. M. Osheba, Mahmoud M. Khater

Mansoura Engineering Journal

In this work, three methods are proposed to identify parameters of PI controllers used for wind energy conversion systems based on DFIG. Mathematical model of generator and grid side system is depicted. Three tuning methods; bode-plot, pole-placement, and MATLAB tuner are used for grid side and rotor side converter controllers’ design. Wind turbine system with PI controller parameters obtained using the mentioned method is investigated via MATLAB/SIMULINK under three different scenarios. The wind system is subjected to step wind speed change, random wind speed, and sever symmetrical voltage dip in the grid. The handled comparison illustrates that the pole-placement tuning …

State Of California Cannabis Reporting, University Of Mississippi – National Center For Cannabis Research And Education

California

No abstract provided.

How Gas Flow And Distance From The Laser Focus Affects Powder Deposition Focus Concentration In A Lens Machine, Max A. Siefert

Mechanical Engineering and Materials Science Independent Study

Additive manufacturing via Direct Layer Deposition (DLD) is what the Laser Net Engineered Shaping or LENS machine is used to create components using metallic powders and a high powdered laser in the Flores Lab. In the lab this machine is used to create metallic alloys with high degrees of accuracy, but it has been difficult to get the accuracy required. By changing two variables, focus height and carrier gas flow rate, the concentration of the powder in a certain radius can be changed. The dot concentration and diameter were gotten using image analysis. It was found the LPM has a …

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.

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 …

Analog Systems Of Physical Quantities And Their Graph Models In Determining The Parameters Of Mechatronic Modules, Temurbek Omonboevich Rakhimov, Elmira Eshmurod Qizi Raxmanova, Guzal Khujaniyazova

Chemical Technology, Control and Management

This article is dedicated to the analogy systems of physical quantities and their graph models in determining the parameters of mechatronic modules. It presents the general sets and fundamental laws of analogy systems of physical quantities and their elements for determining the parameters of mechatronic modules. Based on the general sets and fundamental laws of analogy systems of physical quantities and their elements, principles have been developed for mechatronic modules with a heterogeneous structure consisting of electrical, magnetic, and mechanical parts. In these modules, the field as a form of matter exists, forming the basis for developing mathematical models to …

Improving Self-Diagnostic Methods Of Flow Measurement Systems Based On Artificial Intelligence, Elbek Ortikov

Chemical Technology, Control and Management

The article examines methods for improving self-diagnostics of consumption measurement systems based on artificial intelligence in the context of industry digitalization and the development of cyber-physical systems. It has been shown that traditional flow meters used to measure the flow rate of liquids and gases are subject to mechanical, hydraulic, electronic, and hidden failures, which reduce the accuracy and reliability of measurements. A justification for the need to transition from classical maintenance methods to intelligent self-control methods that ensure the detection of anomalies and hidden malfunctions in real time is presented. A multi-level architecture of intelligent self-diagnosis is proposed, including …

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 …

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 …

Expansion Of The Functionality Of Discrete Fiber-Optic Liquid Level Sensors, Azimjon Mamadaliyevich Khusanov, Yuriy Gennadyevich Shipulin

Chemical Technology, Control and Management

The article examines the problems and prospects of creating discrete fiber-optic liquid level gauges. Functional diagrams of single-channel and multi-channel discrete fiber-optic liquid level meters are presented. Examining the challenges of keeping this system running continuously reveals that sustaining its required reliability necessitates replacing malfunctioning measurement systems with operational ones. Investigations into differential equation models demonstrate that system recovery and failure events occur independently and follow a Poisson distribution pattern.

Investigation Of Nonlinear Magnetic Circuits Of Measuring Transducers With A Special Parameter Distribution Structure, Javhar Sulton O'G'Li Fayzullayev

Chemical Technology, Control and Management

The article proposes a new analytical method for investigating nonlinear magnetic circuits with a special structure of parameter distribution. The method is based on introducing into the system of nonlinear differential equations of such circuits the condition that the second derivative of the magnetic flux along the length of the circuit is equal to zero, as well as on the assumption that one of the geometric parameters of the studied magnetic circuit – the size of the air gap between the ferromagnetic rods, their thickness, width, or the linear value of the number of turns of the distributed excitation winding …

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 Juraev3 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. …

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 …

Using Machine Learning To Predict Women At Risk Having A Child With Congenital Heart Defects, Amany M. Abdo Prof., Asmaa M. Mosallam Ms., Laila M. Abdelhamid Assoc.Prof.

Information Systems

Congenital heart defects (CHD) are heart malformations present at birth, affecting heart function and circulation, and are a leading cause of infant mortality. CHD can result from genetic, environmental, and maternal health factors, making early detection essential. Early diagnosis allows for timely intervention, reducing risks like heart failure or stroke. In countries like Egypt, CHD often remains undiagnosed due to limited healthcare resources. Artificial intelligence (AI) can improve early detection by analyzing risk factors. This study presents a predictive model for CHD using maternal and paternal health factors. Data was collected from 571 families: 260 with a CHD-affected child and …

Role Of Gut Microbiome In Oncogenesis And Oncotherapies, Renuka Sri Sai Peddireddi, Sai Kiran Kuchana, Rohith Kode, Saketh Khammammettu, Aishwarya Koppanatham, Supriya Mattigiri, Harshavardhan Gobburi, Suresh K. Alahari

School of Graduate Studies Faculty Publications

The gut microbiome has emerged as a key regulator of human health, influencing not only metabolism and immunity but also the development and treatment of cancer. Mounting evidence suggests that microbial dysbiosis contributes to oncogenesis by driving chronic inflammation, producing genotoxic metabolites, altering bile acid metabolism, and disrupting epithelial barrier integrity. At the same time, the gut microbiome significantly modulates the host response to oncotherapies including chemotherapy, radiotherapy, and especially immunotherapy, where microbial diversity and specific taxa determine treatment efficacy and toxicity. This review synthesizes current evidence on the role of the gut microbiome in both oncogenesis and oncotherapies, focusing …

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, …

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 …

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 …

A Return To The Real: Elder Wisdom, Story, And The Great Mystery Of Consciousness, Patrice V. Mathon-Nerad Phd

Journal of Conscious Evolution

This essay honors the life and legacy of consciousness scholar Allan Leslie Combs by exploring elder wisdom as an epistemic, ethical, and spiritual stance grounded in openness to the great mystery of consciousness. Drawing on Combs’s writings, Charlene Spretnak’s articulation of the Real, and Malidoma Somé’s teachings on elderhood, the essay contrasts elder understanding with contemporary psychiatric approaches that impose epistemic certainty upon the vastness and lived complexity of human consciousness. Portions of this essay are adapted from the author’s 2023 doctoral dissertation, Separation from the Real: The Power of Story at the Heart of the Civil Commitment Process, …

“A Leader Or A Teacher”: A Latent Theory Of Transformative Education In James Macgregor Burns’S Transforming-Transactional Leadership Paradigm, Evan Rw Dutmer

Interdisciplinary Journal of Leadership Studies

The purpose of this paper is to uncover a latent theory of transformative teaching and learning to be found in James MacGregor Burns’s account of transforming leadership and place it in interdisciplinary conversation with transformative education. The importance of this interdisciplinary exploration consists in this: Burns’s view that good leadership and good teaching are nearly indistinguishable has powerful implications that have been too little recognized. For, if right, teachers ought to view their work as exemplifying leadership (of a mutually beneficial, elevating sort); similarly, leaders across organizations ought to look to transformative teachers as paradigmatic models of good leadership. Expanding …

The Perception Of Leader Identity: The Impact Of The Covid-19 Pandemic On Interfaith Hospital Chaplains, Zachary C. Wooten, Jocelyn R. Brown

Interdisciplinary Journal of Leadership Studies

This article showcases the results of one research question in a multi-question study, specifically, “How do interfaith hospital chaplains perceive themselves leaders or part of the leadership process?” To answer this question, researchers interviewed ten interfaith hospital chaplains and employed interpretive phenomenological analysis (IPA). The analysis revealed the participants’ views that interfaith hospital chaplains are part of the leadership processes in hospital systems. A significant opportunity exists for chaplains and the healthcare system at large to engage in a more expansive, interdisciplinary understanding of leadership with the work of healthcare chaplaincy at the center of such discourse. This understanding moves …

Beyond Charisma: A Critical Theory Perspective On Populist Leadership In A Post-Covid Age Of Crisis, Samuel Fianko-Ofori, Stephen Apolima

Interdisciplinary Journal of Leadership Studies

This paper argues that the digital communication environment has qualitatively transformed the dynamics of populist leadership, moving it beyond a reliance on personal charisma. While the affective bonds between leaders and followers—explored by classical theorists like Weber, Freud, and Adorno—are not new, their operation within the platformed public sphere marks a distinct shift. We introduce the concept of Affective Populist Leadership (APL) to conceptualize this shift. APL is a mode of leadership sustained through the strategic cultivation and digital amplification of collective emotions. It operates through three mutually reinforcing mechanisms: (1) the perpetual theatrical framing of politics as crisis, (2) …