Digital Commons Network^™

A Membership Based Neutrosophic Approach For Supervised Fingerprint Image Classification, Vinoth D, Ezhilmaran Devarasan

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Bezier Curve Model Using Control Points, Maziah Mahmud, Abd. Fatah Wahab, Mohammad Izat Emir Zulkifly, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Single Valued Neutrosophic Ordered Subalgebras Of Ordered Bci-Algebras, Eunsuk Yang, Eun Hwan Roh, Young Bae Jun

Neutrosophic Sets and Systems

No abstract provided.

Properties Of Neutrosophic Κ-Ideals In Subtraction Semigroups, G. Muhiuddin, B. Elavarasan, K. Porselvi, D. Al-Kadi

Neutrosophic Sets and Systems

No abstract provided.

Enhancing Failure Mode And Effect Analysis With Neutrosophic Inverse Soft Expert Sets, Vijayabalaji S, Thillaigovindan N, Sathiyaseelan N, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Computation Of Neutrosophic Soft Topology Using Python, J J Mershia Rabuni, N. Balaman

Neutrosophic Sets and Systems

No abstract provided.

Decarbonization Transportation: Evaluating Role Of Cyber Security In Transportation Sector Based On Neutrosophic Techniques In A Climate Of Uncertainty, Nissreen El Saber, Mona Mohamed, Nabil M. Abdelaziz

Neutrosophic Sets and Systems

No abstract provided.

A Novel Approach To The Algebraic Structure Of Neutrosophic Superhyper Algebra, S Santhakumar, I R. Sumathi, J Mahalakshmi

Neutrosophic Sets and Systems

No abstract provided.

The Symbolic Plithogenic Differentials Calculus, Yaser Ahmad Alhasan, F. Smarandache, Raja Abdullah Abdulfatah

Neutrosophic Sets and Systems

No abstract provided.

An Introduction To Some Methods For Solving A Large System Linear Neutrosophic Equations, Azzam Mustafa Nouri

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 60, 2023, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Evaluating The Efficacy Of Chatgpt In Navigating The Spanish Medical Residency Entrance Examination (Mir): Promising Horizons For Ai In Clinical Medicine., Francisco Guillen-Grima, Sara Guillen-Aguinaga, Laura Guillen-Aguinaga, Rosa Alas-Brun, Luc Onambele, Wilfrido Ortega, Rocio Montejo, Enrique Aguinaga-Ontoso, Paul Barach, Ines Aguinaga-Ontoso

Department of Medicine Faculty Papers

UNLABELLED: The rapid progress in artificial intelligence, machine learning, and natural language processing has led to increasingly sophisticated large language models (LLMs) for use in healthcare. This study assesses the performance of two LLMs, the GPT-3.5 and GPT-4 models, in passing the MIR medical examination for access to medical specialist training in Spain. Our objectives included gauging the model's overall performance, analyzing discrepancies across different medical specialties, discerning between theoretical and practical questions, estimating error proportions, and assessing the hypothetical severity of errors committed by a physician.

MATERIAL AND METHODS: We studied the 2022 Spanish MIR examination results after excluding …

Symplectic Lattice Gauge Theories In The Grid Framework: Approaching The Conformal Window, Ed Bennett, Peter A. Boyle, Debbio L Del, Niccolò Forzano, Deog Ki Hong, Jong Wan Lee, Julian Lenz, C. J.David Lin, Biagio Lucini, Alessandro Lupo, Maurizio Piai, Davide Vadacchino

School of Engineering, Computing and Mathematics

Symplectic gauge theories coupled to matter fields lead to symmetry enhancement phenomena that have potential applications in such diverse contexts as composite Higgs, top partial compositeness, strongly interacting dark matter, and dilaton-Higgs models. These theories are also interesting on theoretical grounds, for example in reference to the approach to the large-N limit. A particularly compelling research aim is the determination of the extent of the conformal window in gauge theories with symplectic groups coupled to matter, for different groups and for field content consisting of fermions transforming in different representations. Such determination would have far-reaching implications, but requires overcoming huge …

Resonance Damping Of Lcl Filters Using Capacitor-Current Proportional-Integral Positive Feedback Method For Grid-Integrated Fuel Cell System, Majid Hosseinpour, Amin Kholousi

Emirates Journal for Engineering Research

Nowadays, the use of grid-integrated inverter proton exchange membrane fuel cell (PEMFC) systems is becoming more prevalent due to their efficiency and favorable environmental effects. Switching the grid-connected inverters causes high-frequency harmonics, which are eliminated using LCL filters. These filters are susceptible to instability when their resonant frequency is affected by changes in network impedance. Active damping methods are used to weaken the resonance of LCL filters. However, the grid-connected inverter is prone to be unstable under grid impedance variations due to the negative equivalent resistance resulting by digital control delays. As a solution to this problem, the capacitor-current proportional-integral …

Indoor Air Quality In Cob Buildings: In Situ Studies And Artificial Neural Network Modeling, K Touati, M-H Benzaama, Mendili Y El, Guern M Le, F Streiff, S Goodhew

School of Art, Design and Architecture

Knowledge of indoor air quality (IAQ) in cob buildings during the first few months following their delivery is of vital importance in preventing occupants’ health problems. The present research focuses on evaluating IAQ in cob buildings through a prototype built in Normandy, France. To achieve this, the prototype was equipped with a set of sensors to monitor various parameters that determine indoor and outdoor air quality. These parameters include relative humidity (RH), carbon dioxide (CO2), nitrogen dioxide (NO2), ozone (O3), particulate matter (PM1 and PM10), and volatile organic compounds (VOCs). The obtained experimental results indicate that, overall, there is good …

Drought In The Breadbasket Of America And The Influence Of Oceanic Teleconnections, Olivia G. Campbell, Gregory B. Goodrich

School of Natural Resources: Faculty Publications

From 1980 to 2020, drought events accounted for only 11.4% of the billion-dollar disasters in the United States (U.S.), yet caused the second-highest total amount in damages, at USD 236.6 billion. With the average cost of a drought being upwards of USD 9.5 billion, these natural disasters can create serious problems in agriculture. Drought is defined as a period of below-average precipitation that causes damage to agriculture and water supplies. Previous research has linked drought events in the U.S. Great Plains to oceanic teleconnections in the Pacific and Atlantic basins, indicating the influence of El Niño—Southern Oscillation (ENSO), the Pacific …

Data-Driven Decision Support Tool Co-Development With A Primary Health Care Practice Based Learning Network, Jacqueline K. Kueper, Jennifer Rayner, Sara Bhatti, Kelly Angevaare, Sandra Fitzpatrick, Paulino Lucamba, Eric Sutherland, Daniel J. Lizotte

Epidemiology and Biostatistics Publications

Background: The Alliance for Healthier Communities is a learning health system that supports Community Health Centres (CHCs) across Ontario, Canada to provide team-based primary health care to people who otherwise experience barriers to care. This case study describes the ongoing process and lessons learned from the first Alliance for Healthier Communities’ Practice Based Learning Network (PBLN) data-driven decision support tool co-development project.

Methods: We employ an iterative approach to problem identification and methods development for the decision support tool, moving between discussion sessions and case studies with CHC electronic health record (EHR) data. We summarize our work to date in …

Modeling And Analysis Of The Selective Lightning Strike Phenomenon At Locations In A Chemical Manufacturing Plant, Terver Maor

Doctoral Dissertations

This research was motivated by the overly simplified claims, from a previous study, that attempted to explain the cause of the reportedly repeated lightning strikes at certain locations in the chemical manufacturing plant. The findings, without any model, claimed that the electronic monitoring and control devices’ fire damage occurred, due to the raised electrical ground potential during lightning strikes. It proceeded that the raised electrical ground potential caused a power flow reversal, which exceeded the ratings of the affected electronic control modules, damaging them. This claim is inconsistent with published research work in the failure mechanisms of industrial control systems, …

Atomistic-Informed And Machine Learning-Assisted Crystal Plasticity Modeling For Materials Interface, Ibrahim Altarabsheh

Doctoral Dissertations

This dissertation presents a comprehensive study that addresses two critical challenges in the field of computational materials science and engineering from nano- to mesoscale. First, to overcome the well-acknowledged length scale limitation associated with atomistic simulations, a novel two-step approach is introduced for a probabilistic prediction of stress-strain curves in terms of material volume. The method combines Molecular Dynamics (MD) simulations and a multioutput Gaussian process (MOGP) with Bayesian analysis to model stress-strain behavior and predict stress and strain values. The model effectively captures the intricate three-stage curve shape exhibited in stress-strain plots, discerning key points such as yielding, hardening, …

Access To Qualitative Inquiry: An Internal Dialogue, James A. Bernauer

The Qualitative Report

Based on the theme of the TQR 15^th Annual Conference – “Qualitative Inquiry; Access Denied?” this article introspectively examines through a self-interview what I have learned and experienced and my “evolution” in relation to qualitative inquiry. My journey began firmly in the quantitative/rationalistic camp, and I now find myself midway between this camp and the qualitative/naturalistic camp. Is this an integrated space that provides a home to practice mixed methods and a more natural and authentic way to go about discovery and learning?

Pathogenicity In Chickens And Turkeys Of A 2021 United States H5n1 Highly Pathogenic Avian Influenza Clade 2.3.4.4b Wild Bird Virus Compared To Two Previous H5n8 Clade 2.3.4.4 Viruses, Mary J. Pantin-Jackwood, Erica Spackman, Christina Leyson, Sungsu Youk, Scott A. Lee, Linda M. Moon, Mia K. Torchetti, Mary L. Killian, Julianna B. Lenoch, Darrell R. Kapczynski, David E. Swayne, David L. Suarez

United States Department of Agriculture Wildlife Services: Staff Publications

Highly pathogenic avian influenza viruses (HPAIVs) of subtype H5 of the Gs/GD/96 lineage remain a major threat to poultry due to endemicity in wild birds. H5N1 HPAIVs from this lineage were detected in 2021 in the United States (US) and since then have infected many wild and domestic birds. We evaluated the pathobiology of an early US H5N1 HPAIV (clade 2.3.4.4b, 2021) and two H5N8 HPAIVs from previous outbreaks in the US (clade 2.3.4.4c, 2014) and Europe (clade 2.3.4.4b, 2016) in chickens and turkeys. Differences in clinical signs, mean death times (MDTs), and virus transmissibility were found between chickens and …

Incidental Detection Of Fgfr3 Fusion Via Liquid Biopsy Leading To Earlier Diagnosis Of Urothelial Carcinoma, Quillan Huang, Irene Mitsiades, Heidi Dowst, Neda Zarrin-Khameh, Attiya Batool Noor, Patricia Castro, Michael E Scheurer, Guilherme Godoy, Martha P Mims, Nicholas Mitsiades

Faculty, Staff and Students Publications

The rising utilization of circulating tumor DNA (ctDNA) assays in Precision Oncology may incidentally detect genetic material from secondary sources. It is important that such findings are recognized and properly leveraged for both diagnosis and monitoring of response to treatment. Here, we report a patient in whom serial cell-free DNA (cfDNA) monitoring for his known prostate adenocarcinoma uncovered the emergence of an unexpected FGFR3-TACC3 gene fusion, a BRCA1 frameshift mutation, and other molecular abnormalities. Due to the rarity of FGFR3 fusions in prostate cancer, a workup for a second primary cancer was performed, leading to the diagnosis of an otherwise-asymptomatic …

Manipulation In The Agricultural Commodities Futures Market: Application Of Benford's Law, Frank Tenkorang, Greg Nies

Mountain Plains Journal of Business and Technology

This paper proposes that Benford’s Law is an effective tool for determining futures market irregularities and therefore should be adopted and used in efforts to detect and prevent manipulation in the agriculture commodities futures market. Market manipulation, while hard to define and even harder to detect and prevent, has long been a concern for traders and regulators alike. Market power manipulation – the intentional use of monopolistic power to cause market prices to diverge from their competitive level – harms the market by eroding its efficiency and impairing market integrity thereby driving away potential traders and ultimately undermining financial markets, …

Mental Illness, Normalization, And The Construction Of The Abnormal Subject, Paige Lau

Furman Humanities Review

No abstract provided.

On The Nature Of Possible Worlds, John Bayne

Furman Humanities Review

No abstract provided.

Furman Humanities Review. Volume 34, August 2023, Gretchen Braun Editor

Furman Humanities Review

No abstract provided.

Spectral Reflectance Indices Associated With Biomass Production Of Cold Stress Resistant White Clover Genotypes Collected In Argentine And Chilean Patagonia, Hernán Acuña, Luis Inostroza, Catalina Vásquez, Joel Ibañez

IGC Proceedings (1977-2023)

White clover (Trifolium repens L.) is the main forage legume species in grazing pastures in central and southern Chile and many other temperate regions of the world. Its growth rate is limited by low temperature, therefore, the selection of cold stress resistant genotypes is an important step for breeding cultivar to improve the clover growth curve and extend the grazing season in early spring and autumn. The main objective of this experiment was to determine the relationship between phenotypic traits, measured by the high-throughput phenotyping procedures based on canopy reflectance at different wavelengths (spectral reflectance indices, SRIs), and dry …

Stocking Rates And Carrying Capacity Of Grazing Lands In Bale Mountain National Park And Adjacent Areas, Southeast Ethiopia, Mohammed Abdulahi, Habtamu Teka, Hadis Tadele

IGC Proceedings (1977-2023)

Knowledge of grazing land carrying capacity and grazing pressure in and around protected areas is very crucial to support decision making over sustainable grazing levels and developing grazing pressure reduction strategies. However, there was lack of studies conducted on livestock carrying capacity and grazing pressure in the connected and dynamic system over a wider landscape scale. Hence, this study was conducted to estimate the livestock stocking rates and carrying capacity of grazing lands in Bale Mountain National Park (BMNP) and adjacent districts grazing lands, southeast Ethiopia. Three categories of data: Field surveys, satellite imagery, and socioeconomic secondary data were used. …

Grazing Effects On Soil Seed Banks: A Global Synthesis, Shi Yafei

IGC Proceedings (1977-2023)

Livestock grazing is a major disturbance affecting plant diversity and abundance in terrestrial ecosystems. The intermediate disturbance hypothesis (IDH) predicts that moderate-intensity grazing should produce the highest species diversity, while the Milchunas-Sala-Lauenroth (MSL) model posits that the IDH is valid only for mesic areas. However, it remains unclear how grazing affects soil seed bank and whether or not the IDH or MSL models are valid for soil seed bank communities. Here, we presented a global meta-analysis synthesizing 483 observations: we found that grazing had a negative effect on soil seed bank abundance, but did not alter seed bank richness. Further …

Effects Of Warming And Nitrogen Addition On Soil Enzyme Activities, X. Zhang, G. D. Han

IGC Proceedings (1977-2023)

Due to the intensification of human activities, global warming and increased atmospheric nitrogen deposition have become important driving factors of global change. In order to understand the effects of long-term warming and nitrogen application on soil physical and chemical properties and enzyme activities, the effects of warming and nitrogen application on grassland soil enzyme activities were measured. The aim was to reveal the response of enzyme activity in an Inner Mongolian desert steppe to long-term warming and nitrogen addition. The results were as follows. In 2018, nitrogen fertilization significantly increased soil dehydrogenase activity, and soil depth significantly affected soil urease, …