Digital Commons Network^™

Ranking Of Neutrosophic Number Based On Values And Ambiguities And Its Application To Linear Programming Problem, Manas Karak, Pramodh Bharati, Animesh Mahata

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 63,2024, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

An Efficient Approach For Solving Time-Dependent Shortest Path Problem Under Fermatean Neutrosophic Environment, Vidhya K, Saraswathi A, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Foundation Of Superhyperstructure & Neutrosophic Superhyperstructure (Review Paper), Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Sphere-Graph: A Compact 3d Topological Map For Robotic Navigation And Segmentation Of Complex Environments, Meryl Spencer, Reid W. Sawtell, Sarah Kitchen

Michigan Tech Publications

Topological maps are a common framework for enabling autonomous robotic navigation. To be effective for robotic exploration the maps must be able to be generated quickly and compact enough to store on lightweight hardware. Here we propose a novel 3D topological map called Sphere-Graph which has adaptive edge lengths, can be quickly generated, and can be used to semantically identify hallways and rooms to produce a compact representation of complex environments. We give examples of the Sphere-Graph representation of large 3D urban and cave environments.

Ordered Subalgebras Of Ordered Bci-Algebras Based On The Mbj-Neutrosophic Structure, Eunsuk Yang, Eun Hwan Roh, Young Bae Jun

Neutrosophic Sets and Systems

No abstract provided.

Introduction Of Neutrosophic Soft Lie Algebras, Sebuhi Abdullayev, Kemale Veliyeva, Sadi Bayramov

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Spherical Cubic Sets, J. Shalinitharanya, M. Trinita Pricilla, R. Anitha Cruz

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic B-Spline Surface Approximation Model For 3-Dimensional Data Collection, Siti Nur Idara Rosli, Mohammadi Izati Emir Izulkifly

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Encoding And Decoding Algorithm For Ascii Code System, A. A. Salama, Zahraa Tarek, Eman Yousif Darwish

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Linguistic Valued Hypersoft Set With Application: Medical Diagnosis And Treatment, Muhammad Saqlain, Poom Kumam, Wiyada Kumam

Neutrosophic Sets and Systems

No abstract provided.

On Sθ-Summability In Neutrosophic-2-Normed Spaces, Sumaira Aslam, Archana Sharma, Vijay Kumar

Neutrosophic Sets and Systems

No abstract provided.

On Λ-Statistical And Vλ-Statistical Summability In Neutrosophic-2-Normed Spaces, Sumaira Aslam, Vijay Kumar, Archana Sharma

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Automata And Reverse Neutrosophic Automata, Anil Kumar Ram, Anupam K. Singh, Bikky Kumar

Neutrosophic Sets and Systems

No abstract provided.

New Algebraic Structure For Diophantine Neutrosophic Subbisemirings Of Bisemirings, G. Manikandan, M. Palanikumar, P. Vijayalakshmi, Aiyared Iampan

Neutrosophic Sets and Systems

No abstract provided.

The Minimum Spanning Tree Problem On Networks With Neutrosophic Numbers, Kalyan Adhikary, Prashnatita Pal, Jayanta Poray

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Interval-Valued Anti Fuzzy Linear Space, Sivaramakrishnan S, Vijayabalaji S, And Balaji P

Neutrosophic Sets and Systems

No abstract provided.

Sine Trigonometric Aggregation Operators With Single-Valued Neutrosophic Z-Numbers: Application In Business Site Selection, Muhammad Kamran, Nadeem Salamat, Muhammad Shazib Hameed

Neutrosophic Sets and Systems

No abstract provided.

Extension For Neutrosophic Vague Subbisemirings Of Bisemirings, G. Manikandan, M. Palanikumar, P. Vijayalakshmi

Neutrosophic Sets and Systems

No abstract provided.

Comprehensive Review Merec Weighting Method For Smart Building Selection For New Capital Using Neutrosophic Theory, Asmaa Elsayed

Neutrosophic Sets and Systems

No abstract provided.

Equilibrium Points And Their Stability Of Covid-19 In Us, Xiaoxi Hu, Zixin Hu, Tao Xu, Kai Zhang, Henry H Lu, Jinying Zhao, Eric Boerwinkle, Li Jin, Momiao Xiong

Faculty, Staff and Student Publications

This study aims to develop an advanced mathematic model and investigate when and how will the COVID-19 in the US be evolved to endemic. We employed a nonlinear ordinary differential equations-based model to simulate COVID-19 transmission dynamics, factoring in vaccination efforts. Multi-stability analysis was performed on daily new infection data from January 12, 2021 to December 12, 2022 across 50 states in the US. Key indices such as eigenvalues and the basic reproduction number were utilized to evaluate stability and investigate how the pandemic COVD-19 will evolve to endemic in the US. The transmissional, recovery, vaccination rates, vaccination effectiveness, eigenvalues …

A Unified Approach To Second And Third Degree Price Discrimination, Dirk Bergemann, Tibor Heumann, Michael C. Wang

Cowles Foundation Discussion Papers

We analyze the welfare impact of a monopolist able to segment a multiproduct market and offer differentiated price menus within each segment. We characterize a family of extremal distributions such that all achievable welfare outcomes can be reached by selecting segments from within these distributions. This family of distributions arises as the solution to the consumer maximizing distribution of values for multigood markets. With these results, we analyze the effect of segmentation on consumer surplus and prices in both interior and extremal markets, including conditions under which there exists a segmentation benefiting all consumers. Finally, we present an efficient algorithm …

Revealing Chronic Disease Progression Patterns Using Gaussian Process For Stage Inference, Yanfei Wang, Weiling Zhao, Angela Ross, Lei You, Hongyu Wang, Xiaobo Zhou

Faculty, Staff and Student Publications

OBJECTIVE: The early stages of chronic disease typically progress slowly, so symptoms are usually only noticed until the disease is advanced. Slow progression and heterogeneous manifestations make it challenging to model the transition from normal to disease status. As patient conditions are only observed at discrete timestamps with varying intervals, an incomplete understanding of disease progression and heterogeneity affects clinical practice and drug development.

MATERIALS AND METHODS: We developed the Gaussian Process for Stage Inference (GPSI) approach to uncover chronic disease progression patterns and assess the dynamic contribution of clinical features. We tested the ability of the GPSI to reliably …

2024 January 18 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Enabling The Clinical Application Of Artificial Intelligence In Genomics: A Perspective Of The Amia Genomics And Translational Bioinformatics Workgroup, Nephi A Walton, Radha Nagarajan, Chen Wang, Murat Sincan, Robert R Freimuth, David B Everman, Derek C Walton, Scott P Mcgrath, Dominick J Lemas, Panayiotis V Benos, Alexander V Alekseyenko, Qianqian Song, Ece Gamsiz Uzun, Casey Overby Taylor, Alper Uzun, Thomas Nate Person, Nadav Rappoport, Zhongming Zhao, Marc S Williams

Faculty, Staff and Student Publications

OBJECTIVE: Given the importance AI in genomics and its potential impact on human health, the American Medical Informatics Association-Genomics and Translational Biomedical Informatics (GenTBI) Workgroup developed this assessment of factors that can further enable the clinical application of AI in this space.

PROCESS: A list of relevant factors was developed through GenTBI workgroup discussions in multiple in-person and online meetings, along with review of pertinent publications. This list was then summarized and reviewed to achieve consensus among the group members.

CONCLUSIONS: Substantial informatics research and development are needed to fully realize the clinical potential of such technologies. The development of …

Thinking Backwards About Time, D. P. Sheehan

Physics and Biophysics: Faculty Scholarship

The concept of time in physics and its connection to consciousness are becoming increasingly problematic. A missing ingredient to both could be retrocausation — the temporal inverse of everyday causation — in which the future influences the past. Apparent evidence for it is in the phenomenon of precognition. Thus far, psychology and physics have assiduously avoided incorporating precognition into their paradigms, even though experimental evidence for it is substantial. Among many noteworthy studies, the Graff–Cyrus experiment is explicated here as an outstanding example of the phenomenon. It is hoped that consciousness, retrocausation, and precognition can be accommodated within the current …

Predicting Radiotherapy Patient Outcomes With Real-Time Clinical Data Using Mathematical Modelling, Alexander P Browning, Thomas D Lewin, Ruth E Baker, Philip K Maini, Eduardo G Moros, Jimmy Caudell, Helen M Byrne, Heiko Enderling

Faculty, Staff and Student Publications

Longitudinal tumour volume data from head-and-neck cancer patients show that tumours of comparable pre-treatment size and stage may respond very differently to the same radiotherapy fractionation protocol. Mathematical models are often proposed to predict treatment outcome in this context, and have the potential to guide clinical decision-making and inform personalised fractionation protocols. Hindering effective use of models in this context is the sparsity of clinical measurements juxtaposed with the model complexity required to produce the full range of possible patient responses. In this work, we present a compartment model of tumour volume and tumour composition, which, despite relative simplicity, is …

Self-Consistent Phonon Calculations And Quartic Anharmonic Lattice Thermal Conductivity In 2d Ins Monolayer, Eesha Andharia, Hind Alqurashi, Abhiyan Pandit, Bothina Hamad

Physics Faculty Publications and Presentations

Low lattice thermal conductivity (κ_l) is a crucial factor for higher figure-of merit and hence the efficiency of thermoelectric generators. There are several reports on intrinsically low κ_l values in two-dimensional (2D) van der Waals materials using density functional theory and molecular dynamics simulations. In general, phonon dispersions are studied at absolute zero temperature using the finite-displacement approach within harmonic approximations. In addition, the κ_l is calculated using the third-order cubic interatomic force constants (IFCs) by solving the Boltzmann transport equation for phonons. In these calculations, we use quartic IFCs to solve self-consistent phonon equations …

Translating The Potential Of The Urine Steroid Metabolome To Stage Nafld (Trust-Nafld): Study Protocol For A Multicentre, Prospective Validation Study, Hamish Miller, David Harman, Guruprasad Padur Aithal, Pinelopi Manousou, Jeremy F. Cobbold, Richard Parker, David Sheridan, Philip N. Newsome, Fredrik Karpe, Matthew Neville, Wiebke Arlt, Alice J. Sitch, Marta Korbonits, Michael Biehl, William Alazawi, Jeremy W. Tomlinson

Peninsula Medical School

Introduction Non-alcoholic fatty liver disease (NAFLD) affects approximately one in four individuals and its prevalence continues to rise. The advanced stages of NAFLD with significant liver fibrosis are associated with adverse morbidity and mortality outcomes. Currently, liver biopsy remains the 'gold-standard' approach to stage NAFLD severity. Although generally well tolerated, liver biopsies are associated with significant complications, are resource intensive, costly, and sample only a very small area of the liver as well as requiring day case admission to a secondary care setting. As a result, there is a significant unmet need to develop non-invasive biomarkers that can accurately stage …

Carbon Cycle–Climate Feedbacks In The Post-Paris World, David S. Schimel, Dustin Carroll

Faculty Research, Scholarly, and Creative Activity

The Paris Agreement calls for emissions reductions to limit climate change, but how will the carbon cycle change if it is successful? The land and oceans currently absorb roughly half of anthropogenic emissions, but this fraction will decline in the future. The amount of carbon that can be released before climate is mitigated depends on the amount of carbon the ocean and terrestrial ecosystems can absorb. Policy is based on model projections, but observations and theory suggest that climate effects emerging in today’s climate will increase and carbon cycle tipping points may be crossed. Warming temperatures, drought, and a slowing …