Digital Commons Network^™

Genesis: Advanced Systems Framework For Reasoning Over Primitives, Formulas, And Axioms, Fulton D. Bridwell

Defensive Publications Series

A production-ready computer system and method for deterministic reasoning and computation over three foundational components: primitives (atomic, typed values), formulas (expressions derived from axioms), and axioms (immutable domain rules). The system comprises a primitives registry, axiom store, formula compiler, reasoning engine, memory degradation system, and modality engines for generating natural language explanations, executable code, visual diagrams, and engineering documentation.

Key Innovation: Bidirectional English ↔ formula translation with automatic axiom grounding, deterministic auditable computation, tiered memory management, and multi-modal output generation from a single unified reasoning core.

Applications: Scientific computing, engineering design, aerospace, financial risk analysis, healthcare, manufacturing, energy systems, and …

The Feasibility Of Applying Hedging Strategies And Techniques Under The Requirements Of Ifrs 9 For Financial Reporting In Sudanese Banks To Hedge Against Exchange Rate Fluctuations, Awadalla Gafer Elhussin Abobaker

UB Journal for Humanities

This study aims to evaluate the effectiveness of applying hedge accounting strategies and techniques in accordance with IFRS 9 requirements within Sudanese banks, as well as to examine their role in mitigating the impact of exchange rate fluctuations—one of the most significant financial challenges in the Sudanese business environment. The research focuses on banks listed on the Khartoum Stock Exchange. Data were collected through both paper-based and electronic questionnaires distributed to a sample of 220 participants, including accountants, auditors, department managers, and academic staff from Sudanese universities. The data were analyzed using SPSS. The study found that the application of …

Two Members Of The Editorial Board Of Journal Electrochemistry, Kai Wu Elected As An Academician Of The Chinese Academy Of Engineering And Yi Cui A Foreign Academician Of The Chinese Academy Of Sciences, Editorial Office Of J.Electrochem.

Journal of Electrochemistry

No abstract provided.

Electrochemical Characterization And Modulation Of Biological Processes, Yue-Qi Li, Wei-Hua Huang, De-Chen Jiang, Bao-Hong Liu, Bin Su, Yang Tian, Jing-Juan Xu, Ping Yu, Feng Zhao, Huang-Xian Ju, Jing-Hong Li

Journal of Electrochemistry

Electrochemical processes lie at the core of biological function, governing energy transduction, metabolic flux, and molecular signaling. Recent advances in electrochemical science now allow these processes to be probed and controlled with unprecedented spatial, temporal, and chemical resolution. In this review, we present an integrated framework that progresses from fundamental mechanisms to analytical technologies and functional modulation. We begin by outlining electron transfer pathways in mitochondrial respiration, microbial extracellular electron transfer, and DNA- and protein-based charge conduction, followed by the principles of photon-electron conversion in photosynthesis and the central role of redox equilibrium in coordinating cellular responses. We then highlight …

A Novel Electrolyte Pyridine Additive For Enhancing Cycle Life Of Lithium-Ion Batteries, Peng-Cheng Wang, Ding-Chang Li, Jun-Tao Li, Guang-Bo Lu, Shi-Wen Wang

Journal of Electrochemistry

Lithium-ion (Li-ion) battery using a graphite (Gr.) anode and a lithium iron phosphate (LiFePO₄, LFP) cathode (Gr.||LFP) has been widespread in energy storage. To match the warranty period of energy storage systems, the lifespan of this kind of Li-ion battery, not only under room temperature but also under relatively high temperature, is critical. Exploration of functional electrolyte additive provides an efficient approach to address this issue. This study reports the usage of pyridine (Py) as a new electrolyte functional additive for Gr.||LFP. In the first cycle, it was found that Py can be reduced before ethylene carbonate and …

Journal Of Electrochemistry Officially Indexed By Leading Oa Databases Oarl And Coaj, Editorial Office Of J.Electrochem.

Journal of Electrochemistry

No abstract provided.

Feature Column Of Journal Of Electrochemistry Nominated For 2025 Top 10 Famous Columns Of Fujian Provincial Newspapers And Periodicals, Editorial Office Of J.Electrochem.

Journal of Electrochemistry

No abstract provided.

Mechanical Improvements And Control Implementation On A Biomimetic Quadruped Model, Matthew Jack Lutz

Dissertations and Theses

Robotic development started billions of years after earth first began biological prototyping. While the evolutionary process in animals is quite different from robotic prototyping, it still remains no surprise that animals remain more agile, more efficient, and more adaptable than even the most advanced engineered robots to date, simply due to the sheer length of their improvement process. While bridging this improvement gap between deficits in robots and the abilities of animals is difficult, a specific subfield of robotics engineering has attempted to do so using biomimetic robotics. At Portland State, the Agile and Adaptive Robotics Lab (AARL) studies these …

Spatial And Temporal Analysis Of Summer Rainfall Characteristics In Upper Northeastern Thailand Using Weather Radar Data, Nawin Sermsook

Journal of Letters

This research aims to investigate and analyze spatial and temporal characteristics of daily rainfall which include rainfall amount, proportion of areas with heavy (35-90 mm/day) and extreme (>90 mm/day) rainfall intensity, numbers of extreme rainfall clusters, average size of extreme rainfall clusters, and orientation of extreme rainfall areas in the upper northeastern region of Thailand during the summer season (March to May) from 2017 to 2020. Rainfall data were obtained from Sakon Nakhon weather radar station. Radar reflectivity was converted to hourly rainfall amount using Z-R relationship for northeastern Thailand.    It was found that the spatially variable bias correction …

Pressure Field Estimation From 2d-Piv Measurements: A Case Study Of Fish Suction-Feeding, Jensine C. Coggin, Duvall Dickerson-Evans, Erin E. Hackett, Roi Gurka

Physics and Engineering Science

Particle image velocimetry (PIV) flow measurements are common practice in laboratory settings in a wide variety of fields involving fluid dynamics, including biology, physics, engineering, and medicine. Dynamic fluid pressure is a notoriously difficult property to measure non-intrusively, yet its variation is a driving flow force and critical to model correctly. Techniques have been developed to estimate the pressure from velocity and velocity gradient measurements. Here, we highlight a novel application of boundary conditions when applying such pressure estimation techniques based on two-dimensional PIV data; the novel method is especially relevant to problems with complex boundary conditions. As such, it …

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 …

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 …

Synergizing Digital And Print: Leveraging Spine Surgeons' Social Media To Transform Publishing And Society Interaction, Benedikt W. Burkhardt, Kai-Uwe Lewandrowski, Choll W. Kim, Morgan P Lorio, Oscar L. Alves, Rossano Kepler Alvim Fiorelli, Sergio Luis Schmidt, Hansen A. Yuan, Alex R. Vaccaro

Department of Orthopaedic Surgery Faculty Papers

BACKGROUND: Social media has fundamentally altered how information is created, disseminated, and consumed, with growing impact on spine surgeons and professional societies. Traditional academic publishing remains the standard for research validation, but digital platforms now shape much of the real-time dialogue in spine care.

OBJECTIVE: To explore strategies for integrating spine surgeons' social media presence with traditional publishing channels to enhance knowledge dissemination, support clinical innovation, and improve member engagement within spine societies.

METHODS: This perspective reviews current patterns of social media use among spine surgeons, focusing on platforms such as X (formerly Twitter), Instagram, and LinkedIn. It analyzes benefits …

Regenerative And Wellness Medicine: A Boon Or Barrier To Surgical Innovation In Degenerative Spine Care?, Álvaro Dowling, Kai-Uwe Lewandrowski, Morgan P. Lorio, Óscar L. Alves, Rossano Kepler Alvim Fiorelli, Sergio Luis Schmidt, Hansen A. Yuan, Alexander R. Vaccaro

Department of Orthopaedic Surgery Faculty Papers

BACKGROUND: Regenerative and wellness medicine is rapidly reshaping health care, particularly in the management of degenerative spine conditions. Noninvasive or minimally invasive options such as stem cell therapy, platelet-rich plasma (PRP) injections, and holistic wellness programs are increasingly selected by patients who wish to avoid the risks, costs, and prolonged recovery associated with elective spine surgery.

PURPOSE: This perspective article examines whether regenerative and wellness approaches function primarily as a boon or a barrier to innovation in spine surgery and explores their impact on traditional, insurance-based surgical care models.

METHODS: Using a narrative, opinion-based framework, this article synthesizes current trends …

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 …

Exploring Math Word Problem Generation With Llms, Trung Hieu Vuong

Master's Theses

Math Word Problem (MWP) is an important building block for learning math. This type of problem is particularly useful for younger audiences because solving it involves two simultaneous skill sets: reading comprehension and mathematical reasoning. With publicly available large language models (LLMs), generating additional MWPs is readily achievable. While researchers have started using LLMs as MWP facilitators, there still exists a gap in studies about the diversity of MWPs generated by unmodified, publicly accessible LLMs. For that reason, our study focused on two goals: (1) to evaluate the diversity of MWPs generated by publicly available LLMs when provided with examples …

“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 …

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 …

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 …

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 …

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.

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 …

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 …

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 …

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, …