Digital Commons Network^™

Tracking Social Media Platform Shifts In Academic Libraries, 2019-2025 [Dataset], Holly M. Surbaugh

University Libraries & Learning Sciences Faculty and Staff Publications

The author created this supplementary data file during a research study completed in January 2025. For a sample of 233 university libraries located in the United States, the author examined current and archived versions of the organizations’ websites and noted changes in links to library-specific accounts on popular social media platforms. The goal of this research was to explore how academic libraries have responded to a period of significant change and disruption in the social media landscape. The Excel file contains the final version of the compiled data, including URLs for the reviewed websites and Internet Archive Wayback Machine captures …

Rethinking Reverse Logistics: Neutrosophic Strategies For Warehouse Management Challenges, Thanh- Ngan Le, Quoc-Hieu Phan, Phi Hung Nguyen, Lan-Anh Thi Nguyen

Neutrosophic Sets and Systems

Implementing warehouse management platforms (WMPs) in Vietnam's smart reverse logistics (SRL) sector faces numerous barriers, hindering operational efficiency and competitiveness. This study develops a robust multi-stage decision-making framework to identify, analyze, and address these barriers, filling a critical research gap in SRL practices. The proposed model integrates Neutrosophic Sets (NS) for managing uncertainties in expert evaluations with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to examine cause-and-effect relationships among barriers. Additionally, the Neutrosophic Combined Compromise Solution (NS COCOSO) method ranks solutions for overcoming these challenges. In the first stage, key barriers—such as insufficient strategic planning, lack of expertise in …

Bipolar Neutrosophic Driven Approach For Assessing The Teaching Quality Of English Language And Literature Learning Outcomes, Keyan Zhao

Neutrosophic Sets and Systems

The quality of teaching in English Language and Literature is a crucial factor in enhancing student learning outcomes, fostering critical thinking, and promoting linguistic and literary proficiency. Nevertheless, the procedure of assessing the quality of English teaching remains a thought-provoking task since it typically depends on individual judgments, variety in criteria, and inconsistency in human observation, resulting in intrinsic uncertainty. Bipolar Neutrosophic Sets (BNS) offer an expressive way to model ambiguity in a bipolar manner using three positive and three negative memberships. Motivated by that, we propose to explore the novel approach based on BNS to improve the judgmental process …

Inverse Fractional Function Setting Sine Trigonometric Neutrosophic Set Approach To Interaction Aggregating Operators, Murugan Palanikumar, Nasreen Kausar, Tonguc Cagin

Neutrosophic Sets and Systems

In this paper we present novel techniques for the interacting aggregating operator of the inverse fractional function sine trigonometric neutrosophic set. Swapping the input and output variables and solving for the original input variable in terms of the original output variable are the steps involved in determining the inverse of a function. The innovative averaging and geometric operations of inverse fractional function sine trigonometric neutrosophic numbers are studied using the universal aggregation function. The inverse fractional function sine trigonometric neutrosophic set is idempotent, boundedness compatible, associative and commutative. Four new aggregating operators are introduced: inverse fractional function sine trigonometric neutrosophic …

Characterization Of Interaction Aggregating Operators Setting Interval-Valued Pythogorean Neutrosophic Set, Raed Hatamleh, Ahmed Salem Heilat, M. Palanikumar, Abdallah Al-Husban

Neutrosophic Sets and Systems

In this work, we present novel techniques for the interval-valued Pythogorean neutrosophic interaction aggregating operator. A hybrid of the neutrosophic set and the interval-valued Pythogorean fuzzy set. The innovative averaging and geometric operations of interval-valued Pythogorean neutrosophic interaction numbers are studied using aggregation operator. The interval-valued Pythogorean neutrosophic interaction is boundedness compatible, idempotent, associative, and commutative. Four new aggregating operators are introduced: IPNI weighted averaging operator, interval-valued Pythogorean neutrosophic interaction weighted geometric operator, generalized interval-valued Pythogorean neutrosophic interaction weighted averaging and generalized interval-valued Pythogorean neutrosophic interaction weighted geometric.

A Neutrosophic Model For Assessing The Impact Of Artificial Intelligence On Civil Liability, María Gracia Paredes-Morales, Gino Joel Alberdy-Rodriguez, Susy Grey Morales-Cobos, Dessire Amandiz Castro-Valderrama, Gloria Angélica Valderrama-Barragán, Edwin Favio Valderrama-Barragán

Neutrosophic Sets and Systems

The creation of Artificial Intelligence (AI) tools has grown exponentially in recent years. The number of these tools, their capabilities to solve problems and the number of people who use them are increasing rapidly. This constitutes a positive advance for humanity; however, there is also a negative side that can arise from its inappropriate use. To avoid the problems that may arise with the improper use of AI, it is necessary to have a regulatory legal framework that offers the guidelines to follow for evaluating the AI tools that arise and the civil and criminal consequences for those who fail …

The Numerical Applications Of (Abm) And (Amm) Numerical Methods On Some Neutrosophic And Dual Problems, Ahmed Salem Heilat

Neutrosophic Sets and Systems

The objective of this paper is to present two neutrosophic numerical methods for finding the numerical solutions for some neutrosophic differential equations, where a numerical comparison between AMM and ABM methods with numerical tables that clarify some numerical results of the previous two methods applied on some neutrosophic initial value problems IVP. Also, we apply the same methods on dual variables problems, and we will show that they will give us the same numerical results

Enhancing Missing Data Imputation For Migrants Data: A Neutrosophic Set-Based Machine Learning Approach, Doaa A. Abdo, A. A. Salama, Alaa A. Abdelmegaly, Hanan Khadari Mahdi Mahmoud

Neutrosophic Sets and Systems

This study tackles the problem of missing data in migrant datasets by introducing a new framework that combines machine learning techniques with neutrosophic sets. These sets, which can represent uncertainty and ambiguity, are well-suited for managing the complex nature of missing information in sensitive fields like migration research. We test the effectiveness of KNN, SVM, decision tree, random forest, and Ada Boost algorithms on a migrant dataset, comparing their results using different imputation methods (mean/mode, model-based imputer (simple tree), and random values). Our research showed that our proposed approach, which used neutrosophic sets, improved imputation accuracy and strengthened model reliability. …

Human Capital And Innovation In Developed And Developing Countries: A Systematic Literature Review Using Methodi Ordinatio And Hypersoft Sets, Leonardo José España-Barraza, Efraín Javier De-La-Hoz-Granadillo, Katia Ninozca Flores-Ledesma

Neutrosophic Sets and Systems

This article aims to analyze the influence of human capital on innovation. To achieve this, the Methodi Ordinatio methodology was used. The search for scientific articles was done using the Scopus and Web of Science databases. Only documents published between 2013 and 2023 were selected. The systematic review of the literature shows that human capital is relevant in promoting innovation in any type of economy; however, the impact may vary depending on the economic and regional context being studied. The data obtained are analyzed with the help of the hybridization of the Methodi Ordinatio with the HyperSoft Sets theory. In …

Clear Approach To Education Quality Evaluation Of Multilingual Higher Education Internationalization Under Probabilistic Simplified Neutrosophic Sets For Academic Improvement, Qing Li, Wenya Chen

Neutrosophic Sets and Systems

An integrated multi-criteria decision-making (MCDM) approach is used in this study to evaluate multilingual higher education internationalization. This study is the first to employ a novel combination technique that has not yet been used for corporate performance evaluation. It is based on root assessment method (RAM) and indifference threshold-based attribute ratio analysis (ITARA) methodologies. The weights of the criteria are determined using the ITARA approach, and the RAM method is used to rank the alternatives. these methods are used under the neutrosophic sets to deal with vague and uncertainty data. This study uses the Probabilistic Simplified Neutrosophic sets to overcome …

Edge Connectivity Of A Neutrosophic Graph, Aparna Tripathy, Amaresh Chandra Panada, Siva Prasad Behera, Bhabani S. Mohanty

Neutrosophic Sets and Systems

Neutosophic graphs are an extension of fuzzy and intuitionistic fuzzy graphs by including the uncertainty, vagueness, and indeterminacy that are normal in the real world. This paper looks into the edge connectivity of a neutrosophic graph, which is a basic parameter that shows how strong and fault-tolerant networks are that are modelled by these graphs. Edge connectivity, which is the smallest number of edges that need to be taken away from a graph to make it trivial or disconnected, is a key concept in figuring out how strong and resilient networks are in many situations. This paper also addresses computational …

Quality Review Of Computer Digital Media Art Design Using Neutrosophic Logic: A Case Study, Gao Huijuan, Fu Licheng

Neutrosophic Sets and Systems

Evaluating the quality of Computer Digital Media Art Design is complex because it involves both subjective artistic elements and objective technical criteria. This study uses the multi-criteria decision making (MCDM) method to deal with different criteria. Two MCDM methods are used in this study such as Preference Selection Index (PSI) Method to compute the criteria weights and the RATGOS method to rank the alternatives. These methods are used neutrosophic sets to dela with vague and uncertainty information. Eight criteria and seven alternatives are used to select the best alternatives. Four experts have evaluated these criteria and alternatives. An example is …

Complex Fermatean Neutrosophic Sets And Their Applications In Decision Making, Vijaya V, Said Broumi, Manikandan H

Neutrosophic Sets and Systems

Complex Neutrosophic Sets have emerged as a groundbreaking paradigm for handling uncertainty in complex-valued variables. By defining truth, indeterminacy, and falsity membership functions within the unit circle of the complex plane, this innovative framework provides a robust foundation for uncertainty management. This paper introduces a novel hesitance distance measure for Complex Fermatean Neutrosophic Sets, enabling the quantification of uncertainty in complex decision-making scenarios. The proposed distance measure is applied to solve a Multi-Criteria Decision Making Problem, demonstrating its effectiveness in handling uncertainty and ambiguity. This research has far-reaching implications for various fields, including decision theory, artificial intelligence, and operations research. …

The Pulse - March 27, 2025, Unm Hsc Marketing & Communications

The Pulse

Weekly newsletter of the UNM Health Sciences Center.

Drug Targets Illumination: An Evidence-Based Data Analytics & Informatics Approach To Hypothesis Generation Through Clinical Trials And Genomic Variants, Jeremiah I. Abok

Chemistry and Chemical Biology ETDs

DRUG TARGETS ILLUMINATION: AN EVIDENCE-BASED DATA ANALYTICS & INFORMATICS APPROACH TO HYPOTHESIS GENERATION THROUGH CLINICAL TRIALS AND GENOMIC VARIANTS

Target Illumination Clinical Trial Analytics with Cheminformatics (TICTAC) introduces a scalable data integration pipeline that aggregates multivariate clinical trial evidence to systematically rank disease–target associations. By harmonizing metadata from AACT and employing confidence-scoring techniques, TICTAC facilitates hypothesis-driven target selection for drug discovery, enabling a data-driven approach to therapeutic development. In parallel, a bioinformatics-driven analysis of gnomAD exome mutations in the ZPR1 gene highlights the broader role of genetic variants in disease association. By employing variant effect predictors, protein stability modeling, and …

The Pulse - March 20, 2025, Unm Hsc Marketing & Communications

The Pulse

Weekly newsletter of the UNM Health Sciences Center.

The Pulse - March 13, 2025, Unm Hsc Marketing & Communications

The Pulse

Weekly newsletter of the UNM Health Sciences Center.

Analytical Electrochemistry Of Nickel, Platinum, And Platinum-Nickel Electrodepositions, Kyle James Troche

Nanoscience and Microsystems ETDs

Nickel and platinum electrodeposits have numerous applications in corrosion and wear-resistant coatings, electronic connectors, heat resistance, metal finishings, and catalysts. The addition of additives can vastly change the morphology of the deposition. Electrokinetic parameters can be calculated by conducting rotating disk electrode (RDE) experiments along with Koutecky-Levich analysis. Significant challenges need to be addressed to deposit uniform films of Pt-Ni alloys from a single co-deposition bath. The main challenge is platinum’s catalytic property to reduce the overpotential for the hydrogen generation reaction. An Investigation into methanol and carbon monoxide’s hydrogen generation reaction suppression was conducted. Electrodeposition of nickel, platinum, and …

Modeling And Simulations Of An Input Coupler For A High-Power Traveling Wave Tube Amplifier As A Preliminary Investigation Into A Multi-Stream Traveling Wave Tube Amplifier, Ethan Wade

Electrical and Computer Engineering ETDs

The University of New Mexico (UNM) is working on developing a multi-stream Traveling Wave Tube (TWT) amplifier. One of the first steps to be taken during the design of a TWT amplifier is to design an input coupler to couple power from a lower power High Power Microwave (HPM) seed source to the slow wave structure (SWS) of the amplifier. In order to aid in the development of a TWT which operates in X-band, multiple options for input couplers have been designed for use in a greater TWT project at UNM. The primary tasks to be addressed with these input …

04-03-25 Hsc Committee Meeting Notice, Patricia Serna

HSC Committee (A subcommittee of the UNM Board of Regents)

04-03-25 HSC Committee Meeting Notice

The Relationship Between Closed-Loop Auditory Stimulation During Sleep And Eeg On Memory Consolidation, Hector Patricio Valverde

Psychology ETDs

Slow-wave sleep is critical for consolidating information into long-term memory. Past research has found this process can be enhanced using closed-loop auditory stimulation (CLAS), where pink noise tones are timed to slow oscillations using live EEG to increase slow wave amplitude and synchronize connections across the neocortex, thalamus, and hippocampus. In this study, subjects slept in our laboratory while receiving counterbalanced sham or verum CLAS. Memory retention scores were calculated using a paired associates word task completed before and after sleep. Subjective sleep quality scores were also obtained. A total of 33 verum and 35 sham nights of data were …

The Pulse - March 6, 2025, Unm Hsc Marketing & Communications

The Pulse

Weekly newsletter of the UNM Health Sciences Center.

Superhypersoft Framework For College English Blended Teaching Quality Evaluation In The New Era: Addressing Uncertainty And Complexity, Dahai Zhang

Neutrosophic Sets and Systems

A Single-Valued Neutrosophic Set (SVNS) is a powerful tool for representing uncertainty, ambiguity, and incomplete or inconsistent information in real-world scenarios. This approach is particularly effective for handling uncertain measurements and data. Building on the concept of fuzzy set entropy, the SVN-entropy method has been developed to support multi-criteria decision-making (MCDM) processes. In this study, SVN-entropy is combined with the SuperHyperSoft (HSS) framework—an extension of HyperSoft sets— to evaluate different criteria and sub-criteria with varying values. The proposed method uses entropy to calculate criteria weights, which are then applied to assess the quality of College English Blended Teaching in the …

A Neutrosophic Perspective On Enhancing Quality Virtual Simulation Experimental Education Of Integrated Circuits: A New Approach, Lihua Dai, Ben Wang, Xuemin Cheng, Junyi Xu, Hao Wang

Neutrosophic Sets and Systems

With rapid advancements in technology-related industries, integrated circuits come to be the core of modern electronics (IC). This in turn highlights the indispensable need to figure out advanced techniques for delivering high-quality experimental education in integrated circuits (IC). To that end, this work presents a neutrosophic framework to enhance the quality of education based on the selection of simulation-based tools that best improve the experimental skills of students. Given the inherent challenges of uncertainty, ambiguity, and subjectivity of virtual simulation, we propose to incorporate Interval-Valued Neutrosophic Sets (IVNS) to model uncertainty inherent to virtual simulation scenarios and adapt to encode …

Trigonometric Interval-Valued Neutrosophic Set Setting With Reciprocal Fractional Function Using A Finite Weighted Method, Murugan Palanikumar, Nasreen Kausar, Tonguc Cagin

Neutrosophic Sets and Systems

This paper presents a new method for creating a trigonometric interval-valued neutrosophic set via reciprocal fractional function. This article will cover the concepts of geometric, generalized weighted averaging, trigonometric interval-valued neutrosophic reciprocal fractional weighted averaging, and generalized weighted geometric. We used an aggregating model to get the weighted average and geometric. To further examine a number of sets with important qualities, the algebraic techniques listed below will be applied.

Non-Destructive Detection Of Fillet Fish Quality Using Mq135 Gas Sensor And Neutrosophic Logic-Enhanced System, M. Y. Shams, M. R. Darwesh, Roheet Bhatnagar, N. S. A. Al-Sattary, A. A. Salama, M. S. Ghoname

Neutrosophic Sets and Systems

This paper demonstrates the feasibility of using an electronic nose to assess fish quality by analyzing air quality and examining volatile organic compounds (VOCs) alongside physical variables, with pH, protein content, and VOCs serving as chemical reference points. Artificial intelligence algorithms were employed to predict quality and calculate regression coefficients. Using the reference neural network algorithm based on chemical and physical compounds, regression coefficients (R values) achieved were 0.99, 0.98, and 0.97, respectively. Additionally, ANFIS (Adaptive Neuro-Fuzzy Inference System) produced R values of 0.99, 0.85, and 0.98. Both fuzzy logic and ANFIS proved effective for predicting fish quality. Image processing …

Neutrosophic Sets And Systems, Vol. 80,2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Formulation Of The Quadratic Transmuted Generalized Exponential Distribution: Properties And Applications, Kumarapandiyan Gnanasegaran, Benitta Susan Aniyan, Abdul Kani Jabarali

Neutrosophic Sets and Systems

The Quadratic Transmuted Generalized Exponential Distribution (QTGED) enhances the general ized exponential distribution, making it a significant development for handling complex decision-making con texts. Traditional statistical distributions often focus on representing degrees of truth or membership in fuzzy sets, yet they struggle to capture situations involving incomplete, vague, or contradictory data accurately. This study introduces the Neutrosophic Quadratic Transmuted Generalized Exponential Distribution (NQTGED), specifically designed to address indeterminacy and transmuted data. Neutrosophic theory is essential here, as it overcomes the limitations of classical and fuzzy set theories by effectively managing uncertainty, indetermi nacy, and inconsistency in data. By simultaneously representing …

A Tree Soft Set Framework For Evaluating Teaching Quality In University Physics Programs: Enhancing Precision And Decision-Making, Hongzhi Zhao, Fengqiang Zhang

Neutrosophic Sets and Systems

Education in physics is at a crossroads. Numerous nations have middling or worse levels of scientific literacy, according to international research, and their students are viewed as being ill-equipped to handle the challenges going forward. The governmental level has acknowledged the necessity of high-quality development. The article focuses on evaluating physics education is taught and learned through experiments and real-world experiences. We propose a multi-criteria decision making (MCDM) approach to deal with various factors in evaluation of teaching quality in physics programs. We integrate the MCDM method with the Tree Soft Set (TSS) to show the relationship between the different …

Quantifying Teaching Quality In University Chemistry Using Bipolar Neutrosophic Decision-Making Framework, Lina Sun, Feng Yi

Neutrosophic Sets and Systems

There is no doubt that the teaching of university Chemistry plays a critical role in enriching the students’ knowledge with analytical and problem-solving skills that are necessary for achieving academic and professional progress in many fields. However, the process of evaluating the quality of Chemistry teaching remains a challenging task because it usually relies on subjective judgments, diversity of criteria, and variability in human perception, leading to inherent uncertainty. Bipolar Neutrosophic Sets (NS) provide appropriate representation for uncertainty setting ls with three levels of membership, each with positive and negative degrees. Inspired by that, this study contributes to the body …