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Synteny to SNPs: Comparative and Population Genomics of Endemic Gila River Fishes
No full textPopulation genomic data are becoming an essential component of the best available science used by conservation professionals to make management decisions to preserve biodiversity in a rapidly changing world. The proliferation of high-throughput sequencing technologies has made generating genome scale data feasible for non-model organisms that are of conservation concern. In addition to applicability in conservation science, genomic data enable the exploration of basic questions related to species evolution. To that end, this body of research exemplifies the applied and basic utility of genomic data and is focused on two federally-protected minnows endemic to the Gila River basin, Loach Minnow (Tiaroga cobitis) and Spikedace (Meda fulgida). Through developing reference genome assemblies, I explore questions related to gene family expansion, structural variation and selection through a comparative framework. Further, I detail the range-wide population genomics of both species. Lastly, I explored how factors related to processes occurring over historical and ecological timescales act synergistically to influence contemporary patterns of genomic diversity in Spikedace. This dissertation provides a novel perspective on population dynamics and evolution of these fishes, and provides information required for data-driven conservation and management of two members of the native fish community within the Gila River basin
Enhanced framework for Effectiveness Evaluation of Teachers\u27 Digital Leadership with Double-Valued Neutrosophic Number Distance Measures
No full textThe evaluation of the effectiveness of teachers\u27 digital leadership is significant in measuring their leadership abilities and influence in a digital teaching environment. Through assessment, we can understand the impact of teachers in areas such as technology integration, innovative teaching methods, and improving student engagement. This not only helps promote teachers\u27 professional development but also provides a basis for educational institutions to optimize digital teaching strategies, ensuring students receive a higher quality learning experience and fostering sustainable development in educational digitalization. The effectiveness evaluation of teachers\u27 digital leadership is regarded as the defined multiple-attribute decision-making (MADM). Recently, the EDAS method was utilized to cope with MADM. The double-valued neutrosophic sets (DVNSs) are utilized as a technique for characterizing fuzzy information during the effectiveness evaluation of teachers’ digital leadership. In this study, double-valued neutrosophic number EDAS (DVNN-EDAS) technique is administrated for MADM in light with DVNN Euclidean distance (DVNNED). Finally, numerical example for effectiveness evaluation of teachers’ digital leadership is put forward to show the DVNN- EDAS technique. The major contribution of this study is administrated: (1) DVNN-EDAS technique is administrated for MADM in light with DVNNED; (2) The objective weights are considered through average technique; (3) numerical example for effectiveness evaluation of teachers’ digital leadership and some comparative analysis are administrated to verify the DVNN-EDAS technique
A Triangular Fuzzy Neutrosophic Model for Assessing and Optimizing Educational Quality in University Badminton Initiatives: A comprehensive study
No full textThe evaluation of teaching quality in public badminton classes at general universities primarily considers students\u27 learning outcomes, teachers\u27 teaching abilities, class organization, and the appropriateness of the teaching content. Evaluation criteria include students\u27 mastery of skills, participation, interest development, and teachers\u27 teaching methods, classroom management, and interaction effectiveness. By combining quantitative and qualitative approaches, the evaluation aims to assess teaching quality, promote improvements, enhance students\u27 physical fitness and sports skills, and support teachers\u27 professional development and improvement of teaching standards. The teaching quality evaluation of public badminton classes at general universities is a multi-attribute decision-making (MADM). In this paper, a novel technique is introduced that combines triangular fuzzy neutrosophic numbers and PROMETHEE II (TFNN-PROMETHEE II) to address this issue. The TFNN- PROMETHEE II method leverages the properties of TFNN- PROMETHEE II and triangular fuzzy neutrosophic sets (TFNSs) to solve MADM problems effectively. A detailed numerical example is provided to demonstrate the application of the TFNN-PROMETHEE II technique in evaluating the teaching quality of public badminton classes at general universities. Additionally, several comparisons are made to highlight the advantages of this approach. The primary contributions of this paper are outlined: (1) The TFNN-PROMETHEE II technique is developed within the framework of TFNSs; (2) sensitivity analysis was conducted to show the stability of the rank of alternatives; (3) The technique is specifically applied to evaluate the teaching quality of public badminton classes at general universities; (4) Comparative analysis demonstrates that the TFNN-PROMETHEE II technique is also effective in assessing the teaching quality of public badminton classes at general universities
On Schur Complement in k-Kernel Symmetric Block Quadri Partitioned Neutrosophic Fuzzy Matrices
No full textIn this paper, we present equivalent characterizations of k-kernel symmetric (k-KS) Quadri Partitioned Neutrosophic Fuzzy Matrices (QPNFMs). Additionally, we establish the necessary and sufficient conditions for the Schur complement (SC) within a k-KS QPNFM to be k-symmetric. The study also offers equivalent characterizations of both KS and k-KS QPNFMs. A few fundamental examples of KS QPNFMs are provided to clarify these concepts. It is shown that although k-symmetry implies k-KS, the converse does not necessarily hold. Several fundamental properties of k-KS QPNFMs are also derived. Finally, decision-making model utilizing QPNSMs has been successfully developed and validated through its application to real-world problems
Interval Valued Secondary k-Range Symmetric Quadri Partitioned Neutrosophic Fuzzy Matrices with Decision Making
No full textThe objective of this study is to establish the results concerning Interval-Valued (IV) Secondary k-Range Symmetric (RS) Quadri Partitioned Neutrosophic Fuzzy Matrices (QPNFM). We have applied the RS condition within the neutrosophic environment to explore the relationships between IVQP s−k- RS, s-RS, IVQP k-RS, and IVQP RS matrices. This analysis has yielded significant insights into how these various matrix types interrelate and their structural properties. We have established the necessary and sufficient criteria for IVQP s−k-RS IVQPNFM, along with various generalized inverses of an IVQP s−ks- RS fuzzy matrix to maintain its classification as an IVQP s−k- RS matrix. Furthermore, we have characterized the generalized inverses of an IVQP s−k- RS matrix S corresponding to the sets S = {1,2}, S = {1,2,3}, and S = {1, 2, 4}. This characterization contributes to the foundational understanding of generalized inverses in the context of IVQPNFM. Additionally, a graphical representation of RS, Column symmetric (CS), and kernel symmetric (KS) adjacency and incidence QPNFM is illustrated. It is shown that every adjacency QPNFM is symmetric, RS, CS, and KS, whereas the incidence matrix only satisfies KS conditions. Similarly, every RS adjacency QPNFM is a KS adjacency QPNFM, but a KS adjacency QPNFM does not necessarily imply RS QPNFM. In this paper, we present an application of soft graphs in decision-making through the use of the adjacency matrix of a soft graph. We have developed an algorithm for this purpose and provide an example to demonstrate its application
Neutrosophic Decision Framework for Performance Analysis in Construction Project Management Using the EVAMIX Method
No full textThe performance evaluation of construction project management is the process of comprehensively assessing the effectiveness and efficiency of project management based on key indicators such as cost, schedule, quality, and safety. Through quantitative analysis and comprehensive evaluation, it identifies strengths and weaknesses in management, ensuring the achievement of project goals and providing references for future improvements. This evaluation not only helps optimize resource allocation but also enhances the overall level of project management, ensuring the project is completed on time, with quality, and efficiently. The performance evaluation of construction project management is multiple-attribute decision making (MADM). Currently, the EVAMIX approach is employed to implement MADM. The type-2 neutrosophic sets (T2NSs) are administrated as an efficient approach for manipulating uncertain information during the performance evaluation of construction project management. In this paper, the type-2 neutrosophic number EVAMIX (T2NN-EVAMIX) approach is administrated for MADM. The average approach is to put forward weight information with T2NSs. Finally, a numerical example for performance evaluation of construction project management is administrated and some efficient comparisons are found to verify the T2NN EVAMIX approach. The major contribution of this paper is administrated: (1) The average approach is utilized to manage the weight numbers based on T2NSs; (2) the T2NN-EVAMIX approach is administrated for MADM under T2NSs; (3) Finally, a numerical example for performance evaluation of construction project management is administrated and (4) some comparisons are administrated to show some advantages of T2NN-EVAMIX approach
A Neutrosophic Approach to Solving First-Order Differential Equations: Applications to Heat Convection with Uncertain Initial Conditions
No full textThis study explores the solution of first-order differential equations (����) using trapezoidal neutrosophic numbers (����������������������) as initial conditions. It examines various forms of ���������������������� based on the dependencies of truth (��), indeterminacy (��), and falsity (��). The application first order DE is illustrated through heat conduction problems in fluids. The temperature distribution ��1(��,��), � �2(��,��), ��1′(��, ��), ��1′′(��, ��), ��2 ′(��, ��) and ��2 ′′(��, ��) are analyzed through tables and graphs. A solution procedure for the system of first-order ODEs is developed and demonstrated with numerical examples
Plithogenic Sets-Based MABAC Framework for Evaluating the Quality of Elderly Care Security Services for Left-Behind Elderly in Rural Areas of Western China: A Healthcare Industry Perspective
No full textThis study proposed a multi-criteria decision-making (MCDM) methodology for evaluating the elderly care security services. These services consist various criteria, so the MCDM methodology is used. MABAC methodology is a MCDM method used to rank the alternatives. The MABAC methodology is integrated under the plithogenic sets to deal with vague and uncertainty data. The plithogenic sets are an extension of neutrosophic sets to deal with inconsistencies data. The criteria weights are computed in this study. Seven criteria and 13 alternatives are collected in this study. An application with opinions of three experts evaluate the criteria and alternatives. The results show the criterion Accessibility of Services has the highest weights and the criterion Technological Integration in Care Services has the lowest weights. The sensitivity analysis is performed to show the stability of rank of alternatives
2023/2024 UNMV Art Studio Cert Assessment
No full texthttps://digitalrepository.unm.edu/provost_assessment/4221/thumbnail.jp
2023/2024 HC State of Assessment Narrative and Rubric
No full texthttps://digitalrepository.unm.edu/provost_assessment/4259/thumbnail.jp