Digital Commons Network^™

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 4 [2025], Número 2 (Issue 2), Cristo Leon, Romano Ponce-Díaz Phd, Ivan Avila Gonzalez Phd, James Lipuma Dr., Bruce G. Bukiet, Ricardo Victoria-Uribe, Nazario Robles-Bastida, Chris Birmingham, Ximena Diaz Santillan, Edgar Francisco Vázquez Martínez He, Jorge Prieto Terrones, Juan Carlos C. González Vidal S, Edgar Meritano, Laura Magela Garcés Ramírez

Journal of Roleplaying Studies and STEAM

En una sesión de juego por medio del registro lingüístico se organiza la escena, se orienta la manera de nombrar las tareas, se distribuyen los roles actanciales, se establecen la expectativas; por lo tanto, se establece una puesta en escena. De tal forma, las prácticas lúdicas y ficcionales se configuran a partir de nuestra mirada del mundo e irremediablemente también reconfiguran esa misma mirada. El ser y el estar en un espacio es la especificidad mediática fundamental de los juegos de rol; dicho de otra manera, en los sistemas de juego de rol dentro de sus universos narrativos, en su …

Hydrothermal Vents In Sulfuric Acid Speleogenesis Karst: Isolated Feeders With Pristine Hypogenic Water Or Interconnected Conduits With Rapid Flow And Recycled Water?, Jakub Mareš, Marek Audy, Serban M. Sarbu, Jan Kukačka, Romeo Eftimi, Jiří Bruthans

International Journal of Speleology

Underwater connectivity and flow paths in the saturated zone of hypogenic sulfuric acid speleogenesis (SAS) karst remain unclear, despite sustained research over the past 30 years. Being regarded as sources of pristine H₂S-charged water, narrow inflow conduits called "feeders" are typically considered primary sources of water and hotspots of speleogenesis. In southeastern Albania, there is a newly discovered active SAS karst system comprising numerous caves and springs. Tracer tests were conducted to investigate the connection of these caves to the surrounding springs and to characterize the flow paths. The results show that water flows from cave lakes to …

3d-Dnn Ion-Eg Model Applications For Ionospheric Characterization Over Egypt: Mans Cors Case Study Of Vtec Variability And Nmf2/Hmf2 Mapping (2020-2024), Ismail Zaher, Zaki Zeidan, Mostafa Rabah, Mahmoud El-Mewafi

Mansoura Engineering Journal

This study introduces an operational evaluation of a deep learning–driven ionospheric modeling system tailored for Egypt, designed to overcome the limitations of conventional empirical approaches in data-sparse regions. The 3D-DNN Ion-EG model was trained on 737,110 COSMIC-2 radio occultation profiles (2020–2024), integrating spatial temporal coordinates with geophysical drivers to generate high-resolution threedimensional electron density distributions. Validation against the MANS CORS station (Mansoura University) demonstrated strong predictive skill (R2 = 0.9337; r = 0.970) under independent testing. Performance analysis across diverse geophysical regimes confirmed the model’s advantage in capturing storm-time and solar-driven disturbances, surpassing empirical models that perform best only under …

Optimizing Cultivated Land Productivity Through Integrated Fertilization Strategies And Uav-Assisted Management, Kejun Wang

Turkish Journal of Agriculture and Forestry

This study investigates the impact of long-term fertilization modes on crop health and productivity using unmanned aerial vehicle (UAV)-assisted monitoring and a Q-learning-based approach for optimized fertilization strategies. An approximate state-matching Q-learning algorithm was developed to improve the efficiency of agricultural UAVs in fertilization tasks. The spatiotemporal patterns of cultivated land productivity under different fertilization regimes were analyzed in a long-term experiment. An evaluation system for cultivated land health productivity was established. The results indicated that the Q-learning algorithm enabled UAVs to achieve efficient task completion. QLASM outperformed traditional methods on all metrics. QLASM achieved a 92% task completion rate …

The Role Of Ai In Addressing The United Nations Sustainable Development Goals (Sdgs): A Comprehensive Survey, Walid Abdullah, Muhammad Nawaz, Basma Nasir, Muhammad Javed Ramzan

Sustainable Machine Intelligence Journal

Artificial Intelligence (AI) emerges as a transformative tool in addressing global challenges, particularly in achieving the United Nations Sustainable Development Goals (SDGs). This paper provides a comprehensive survey of how AI technologies contribute to addressing global challenges across social, economic, and environmental domains. By enabling advanced data analysis, predictive modeling, and automation, AI offers innovative solutions across sectors such as poverty reduction, healthcare, quality education, sustainable cities, climate action, and the protection of life on land and below water. Special attention is given to practical, real-world examples where AI enables more efficient resource management, predictive analytics, environmental monitoring, and data-driven …

Physicochemical, Pharmacognostic Standardisation And Phytochemical Analyses Of The Homoeopathic Drug Justicia Adhatoda, Bibaswan Biswas, Satish Patel, Digvijay Verma, Satyajit Maity, Shilpi Singh, Paulami Majumdar, Narasimha Kumar Gv

Indian Journal of Research in Homoeopathy

Background: Justicia adhatoda (J. adhatoda), also well known as Vasaka in India is a medicinal plant chiefly used to treat respiratory ailments in traditional and alternative medical systems. Objective: This study aimed to establish the physicochemical, pharmacognostic, and phytochemical standardisation parameters of the drug. The study involved the measurement of physicochemical parameters and chemical profiling of the raw drug. The chemical characteristics of the in-house mother tincture (prepared from in-house raw drug) and commercial mother tinctures available in India were also evaluated to assess the quality of commercially available mother tinctures. Materials and Methods: The present study …

Potency Dependent Angiogenic Effect Of Bellis Perennis On In Ovo Chick Chorioallantoic Membrane Assay, Jayanthdevan V, Winston Vargheese V, Anish Fathima K, Lohita S

Indian Journal of Research in Homoeopathy

Background: Hormesis is the biological response of an organism for a particular dosage of a substance. The lower dose stimulates and higher dose inhibits. J Compton Burnett, an eminent homeopath, prescribed Bellis perennis for breast and uterine tumours, which suggests it could be due to the antiangiogenic property or angiogenic inhibiting property and clinically also it is used for healing of fractured bone and wound healing which may be due to angiogenic promoting property. This experiment deals with the dose dependent effect of Bellis perennis on In Ovo Chick Chorioallantoic Membrane Assay. Objective: To evaluate the Hormesis effect of Bellis …

Perspectives On Implementing Environmentally Sustainable Practices In Cataract Surgeries: Interviews Of Administrative And Frontline Healthcare Workers, Daniel Parra, Brooke Sherry, Emma Pak, Lauren Taylor, Erin S. Rogers, Sarah E. Hochman, Maria De Los Angeles Ramos Cadena, Joel S. Schuman, Christina R. Prescott, Cassandra L. Thiel

Wills Eye Hospital Papers

BACKGROUND: Healthcare is responsible for 8.5% of greenhouse gas emission in the United States. Physicians are becoming increasingly concerned about the climate crisis, particularly in the field of ophthalmology where there is a growing body of literature related to sustainability. Although emissions of cataracts surgery, one of the most performed surgical procedures in the world, have been quantified, modifications to practice have yet to be made. This study aims to uplift the perspectives of a diverse set of healthcare workers on implementing environmentally sustainable practices in the cataract surgery setting.

METHODS: 16 semi-structured interviews were conducted with professionals working in …

Digital Zakat And Islamic Fintech: A Bibliometric Analysis Of Global Research Trends And Collaboration Networks (2012–2025), Muhamad Dupi, Fauziyah Adzimatinur

Journal Of Middle East and Islamic Studies

This paper examines global research trends, collaborative networks, and prevailing themes in digital zakat and Islamic fintech studies published from 2012 to 2025. We retrieved a total of 194 Scopus-indexed publications using bibliometric methods on September 23, 2025, and analyzed them using VOSviewer version 1.6.20. The analysis set a minimum occurrence threshold of 5 for keywords and a minimum citation threshold of 10 for documents. The results indicate that the number of publications has been steadily rising since 2017, with the most in 2023 (42 documents). Malaysia, Indonesia, and Nigeria were the top contributors, and INCEIF University and the International …

Development Of A High-Doppler Shift Optical Simulator To Test Femtosecond-Level Optical Time-Frequency Transfer, Matthew S. Bigelow, Kyle W. Martin, Nolan Matthews, Benjamin K. Stuhl, Richard Gonzales, Alexandre De Pinho E Braga, John Elgin, Kimberly A. Frey

Space Dynamics Laboratory Publications

We have developed an optical simulator to test real-time optical two-way time–frequency transfer at the femtosecond level capable of simulating relative motion between two linked optical clock nodes up to Mach 1.8 with no moving parts. The technique is enabled by artificially Doppler shifting femtosecond pulses from auxiliary stabilized optical frequency combs. These pulses are exchanged between the nodes to simulate the Doppler shifts observed from a changing optical path length. We can continuously scan the simulated velocity from 14 to 620 m s⁻¹ while simultaneously measuring velocity-dependent clock shifts at much higher velocities than previously recorded. This system …

Black Bone Mri Morphometry For Mandibular Cortical Bone Measurement In Head And Neck Cancer Patients: Prospective Method Comparison With Ct, Lisanne V Van Dijk, Juan Ventura, Kareem A Wahid, Lin L Zhu, Brigid A Mcdonald, Sara Ahmed, Keith L Sanders, Sonja M Stieb, Lance Mccoy, Christina S Sharafi, Kathryn E Preston, Natalie A West, Sarah Mirbahaeddin, Dina M El-Habashy, Travis Salzillo, Samuel Mulder, Joly Fahim, Aubryane Dearmas, Mona Arbab, Yao Ding, Jihong Wang, Bastien Rigaud, Anando Sen, Mark Chambers, Katherine A Hutcheson, Kristy K Brock, Abdallah S R Mohamed, Stephen Y Lai, Clifton D Fuller

Faculty, Staff and Student Publications

Objectives: Determine the utility of low-flip angle "black bone" magnetic resonance imaging (MRI) for cortical mandibular bone assessment compared to computed tomography (CT).

Methods: Quantification of cortical mandibular bone width was performed per Hamada et al. at 15 cross-sectional interdentium locations on pretreatment black bone MRI and CT for 15 oropharyngeal cancer patients, with interobserver analyses on a subset of three patients by 11 observers. CT and MRI measurements were compared using Bland-Altman analysis, Lin's concordance, and Deming regression; interobserver variability was assessed with absolute variance and intraclass correlation coefficient (ICC).

Results: Bland Altman and Deming regression analyses showed CT …

Barriers To Digital Payment Adoption In Saudi Arabia: A Plithogenic Indetermhypersoft Complex Refined Modelling Approach, Mohanned H. Alharbi

Sustainable Machine Intelligence Journal

Digital payments are central to Saudi Arabia's financial modernization under Vision 2030. While infrastructure and regulations have advanced rapidly, adoption is still hindered by barriers such as security concerns, unclear costs, usability issues, and religious ambiguity. Standard analytical models often struggle to evaluate these barriers because user feedback is frequently incomplete, conflicting, or vague. To address this uncertainty, this paper proposes a new decision-making framework: the Plithogenic IndetermHyperSoft Complex Refined Neutrosophic model (PIHCRN-DPA). This model integrates advanced mathematical concepts to handle complexity. It uses refined neutrosophic sets to process degrees of truth and indeterminacy, while complex sets account for contextual …

Sustainable Framework For Performance-Based Learning Assessment Under Uncertainty: Computational Modeling, Mona Gharib, Muhammad Imran, Zaka Ur Rehman

Sustainable Machine Intelligence Journal

Evaluating performance-based learning, such as dance or performing arts education, poses significant computational challenges due to uncertainty, subjectivity, and heterogeneous evaluation data. Conventional scoring models fail to capture the coexistence of quantitative indicators (timing, attendance) and qualitative judgments (artistry, expressiveness).

This study introduces a computational neutrosophic functional framework that models ambiguity using set-valued, indeterminate representations within a rigorous analytic structure. We construct a neutrosophic function space CN(X) and a Hilbert C*-module HN for integrating evaluator signals through algebraic fusion. A strongly continuous neutrosophic operator semigroup (T(t)) is developed to model temporal …

The M-Clean Graph Of A Finite Commutative Ring, Susan F. El-Deken, Harald Fripertinger, Aya Gamal

Sustainable Machine Intelligence Journal

We study m-clean graphs of finite commutative rings R, which are a generalization of clean graphs. Their vertices are pairs of m-potent elements and units of R. These graphs can be described as Cartesian sums or co-normal products of two graphs. In particular we explore under which conditions the subgraph involving only non-zero m-potent elements is connected and we determine the degrees of its vertices. Moreover, we characterize under which conditions on two rings the corresponding m-clean graphs are isomorphic.

Comment On Shamsaei Et Al. The Role Of Fuel Characteristics And Heat Release Formulations In Coupled Fire-Atmosphere Simulation. Fire 2023, 6, 264, Aurélien Costes, Adam K. Kochanski

Faculty Research, Scholarly, and Creative Activity

Accurate vertical distribution of fire-induced heat fluxes in the atmosphere is critical for realistic coupled fire–atmosphere simulations. In response to concerns raised by Shamsaei et al. (2023) regarding potential energy conservation issues in the WRF-SFIRE heat distribution scheme, this study first conducts a comprehensive theoretical analysis, demonstrating that the original exponential formulation exhibits negligible error under typical domain configurations. Then, it introduces a novel formulation, called the Versatile Energy-Conservative Distribution scheme, that rigorously guarantees energy conservation while providing enhanced flexibility in specifying vertical distribution profiles. The proposed method accommodates multiple profiles, including exponential, Gaussian, and gamma, and enables the independent …

Detection Of Ultra-Trace Levels Of Copper In Seawater Using A Bare Gold Microwire Electrode And A Portable Digital Voltammeter, Luke M. Brosnan, Wade Lonsdale, Paul Pringle, Paul Lewtas, Samantha Ridgway, Sebastien Allard, Magdalena Wajrak

Research outputs 2022 to 2026

The accumulation of biomass on ship hulls (biofouling) can greatly decrease their fuel efficiency. Many antifouling coatings contain copper as a biocidal agent, which can be released during hull cleanings and is of particular concern when cleaning the hulls in situ (i.e., without dry docking). Previously established voltammetric methods for the detection of copper in seawater using a gold microwire electrode have been modified and adapted to a portable on-site voltammetric technique. Notable differences from previous voltammetric methods include the use of linear sweep voltammetry, analysis under atmospheric conditions, alternating the potential during the deposition period and the use of …

Geochemical Fingerprinting Of Tanzanian Uranium Deposits: The Insights Of Ree Ratios (La/Ce, Nd/Ce, And Sm/Nd) As A Provenance Tool, Lazaro H. Meza, John W. Kondoro, Iyabo T. Usman, Najat K. Mohammed, Titus A. Msagati, Mwingereza John Kumwenda, Mohamed S. Mazunga

Tanzania Journal of Science

Accurate uranium provenance determination is crucial for nuclear non-proliferation and environmental protection, yet a forensic-level geochemical framework for Tanzanian uranium deposits has been lacking. This study establishes a robust analytical method using forty-five samples from three major deposits (Mkuju, Manyoni, and Bahi), analyzing elemental compositions, particularly Rare Earth Elements (REEs), via ICP-MS, and validating results using Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA). Despite their proximity, the deposits exhibit distinct geochemical signatures as revealed by key REE ratios and anomalies. Mkuju (mean La/Ce 1.17, Nd/Ce 0.62, Sm/Nd 0.56) is characterized by a positive Europium (Eu) anomaly and heavy …

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.

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 …

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. …

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 …

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 …

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 …