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Eyes on the Road: Disentagling Cyclist Mental Workload at Intersections
No full textIn North America, cyclists often share infrastructure with motor vehicles and encounter frequent conflicts with them at intersections. While past research assumes cyclists\u27 experiences mirror those of drivers, most studies focus on roadway segments rather than intersections. This study addresses that gap by, for the first time we are aware of, examining cyclist perceptions at intersections using head and gaze movement data. Leveraging naturalistic data conducted in Albuquerque New Mexico, and statistical techniques, including t-test and repeated measures ANOVA, our findings suggest that – similar to drivers - cyclists do experience greater mental workload when performing turning movements than when performing straight movements. However, we find that cyclists experience the greatest mental workload when performing right turns. From this, we suggest that transportation professionals further investigate the mental workload of cyclists while performing turning movements, but improvements should be made for cyclists for all turning movements
Challenging CDM: unraveling cosmic distances, dark sector phenomenology, and alternative primordial B-mode sources
No full textThe dominant Lambda Cold Dark Matter (LCDM) cosmological model, while remarkably successful, increasingly shows signs that it may not fully describe our Universe, as persistent tensions in expansion rates and structure formation remain unresolved. In this thesis, I challenge the LCDM paradigm using novel theoretical frameworks combined with rigorous numerical analyses. I demonstrate that the expansion-rate tension fundamentally reflects underlying distance disagreements, and that the Thomson scattering rate strongly restricts higher pre-recombination expansion rates without additional physics. Further, I present a novel cosmological model using a mirror dark sector and varying fundamental constants, revealing an observational degeneracy allowing significantly higher expansion rates while remaining consistent with data. Lastly, I show that detectable B-mode polarization signals can originate from phase-transition-induced gravitational waves, challenging the long-held view of primordial B-modes as definitive evidence for inflation. Collectively, this work advances our understanding of cosmic tensions and suggests clear avenues for future research
Winter\u27s End: Stopping the Rite and Reclaiming Spring
No full textThis dissertation examines intersections of patriarchy, feminist movements, and the recurring theme of women’s sacrifice, through an artistic lens. Using The Rite of Spring as a central subject, I explore the societal expectation of women’s sacrifice and its persistent representation in art. By analyzing two pivotal interpretations, Vaslav Nijinsky’s Le Sacre du Printemps (1913) and Pina Bausch’s Das Fruhlingsopfer (1975), within the chronological context of feminist waves in the United States, I investigate how these works reflect and critique cycles of violence against women. Four core patterns emerge as focal points: tradition, autonomy, witnessing, and betrayal. Additionally, my choreographic reinterpretation Winter’s End subverts the original narrative, offering a critical reflection on the value of sacrifice while envisioning a shift toward recognizing and honoring the feminine. This study ultimately determines that women have been repeatedly sacrificed through time and explores ways to deter this cycle
Dragging the Chains of Indissoluble Marriage: The Impact of the Laws of Divorce and Coverture on English Literature from Shakespeare to Woolf
No full textMy dissertation investigates how English marriage laws restricting availability of divorce and remarriage, known as indissolubility, and laws depriving women of rights upon marriage, known as coverture, affected English literature. How these two sets of laws and rules, one developed by church authorities and the other by civil judges, arose out of a Biblical metaphor and created five hundred years of social and individual anxiety, as reflected in canonical and non-canonical English literature. I examine works of various genres and literary periods, demonstrating that authors over the centuries used their stories to resist and reform these laws. For theoretical guidance I rely on Michel Foucault’s theories of authorship and legal decentralization as well as Caroline Levine’s formalist theories to explain why literary works protesting oppressive marriage laws persisted through successive literary periods and genres, and why efforts to reform these laws took place over such a long period of time
A new method for measuring the effectiveness of teacher evaluation instruments in improving pedagogical performance in higher education based on the neutrosophic 2-tuple linguistic model and offset logic
No full textAssessment in a teaching-learning process allows teachers to determine to what degree students are assimilat-ing the content and are meeting the objectives of the study program. That is why when there are fine-tuned as-sessment instruments, it is assumed that there is better pedagogical performance. This is a consequence of the fact that the accuracy of the tests allows better adjustment of the classroom methods carried out by the teacher. In this article, we propose a technique that allows determining the degree of effectiveness of assessment in-struments on school results and their relationship with pedagogical performance. We focus specifically on higher education in Ecuador, although the method may be valid in another context. For the design of the meth-od, we took into account that the teacher or the specialist who evaluates is better understood with the help of a linguistic measurement scale. In addition, experience shows that in each evaluation there is indeterminacy and uncertainty. That is why the proposed method is based on the neutrosophic 2-tuple linguistic model. This is a model of Computing with Words, where they are evaluated with a natural language scale and the indetermina-cy of the evaluation is also taken into account. On the other hand, offsets allow obtaining logical results be-tween these words when logical operations are performed between their indices that are outside the classic truth values in [0, 1]
Neutrosophy, Causal AI, and Web3: combo for complex decision-making
No full textThis article introduces Neutrosophic Causal AI, a novel framework that integrates neutrosophic logic with structural causal models to enhance decision-making under uncertainty. While traditional Causal AI is effective at identifying cause-and-effect relationships, it assumes a level of precision rarely found in complex, real-world systems. By incorporating degrees of truth (T), indeterminacy (I), and falsity (F), Neutrosophic Causal AI extends causal inference to accommodate ambiguity, contradiction, and incomplete data. The proposed framework formalizes the neutrosophic do-operator and adapts Judea Pearl’s structural causal models to a neutrosophic context, allowing for more nuanced intervention analysis and counterfactual reasoning. Through illustrative examples and a simulation-based approach, the article demonstrates how this method improves transparency and epistemic robustness in decision systems. Special attention is given to applications in Web3 environments, where decentralized governance, smart contracts, and autonomous decision-making require high levels of reliability and trust. Neutrosophic Causal AI thus emerges as a critical tool for building intelligent systems that reflect the complexity of social and digital ecosystems, providing a bridge between computational logic, causal analysis, and real-world ambiguity
Multineutrosophic Analysis of the Relationship Between Survival and Business Growth in the Manufacturing Sector of Azuay Province, 2020–2023, Using Plithogenic n-Superhypergraphs
No full textThis study analyzed the relationship between survival and business growth in the manufacturing sector of Azuay Province. To achieve this, Plithogenic n-SuperHyperGraphs and Multineutrosophic logic were employed to examine financial data defined by a set of n-indicators, n-records, and n-entities between 2020 and 2023. Additionally, the Springate Z-Score model was used, along with the logarithmic variation of assets, multiple regression, and factor analysis. The results showed that business survival was determined by variables related to vertices of financial stability and operational efficiency, while growth was primarily associated with asset expansion. Factor analysis identified three key components: firm size, financial solvency, and profitability, grouped within the dominant vertex. These findings demonstrate an integrated financial structure underlying business survival. In conclusion, the results provide an empirical basis for designing sustainability strategies in Azuay’s manufacturing sector, with potential applications in other regions and sectors of Ecuador
Environmental Sustainability and Organizational Commitment in Rainbow Trout Production in Junín, Peru: An Approach from Plithogenic Fuzzy Soft Sets
No full textHuman resource management could leverage global environmental concerns to promote green practices. Furthermore, ecological sustainability is a major concern in modern society. Among other tools, the affective, normative, and continuance dimensions of organizational commitment are central to organizational implementation. This study aims to determine the relationship between environmental sustainability and organizational commitment in rainbow trout production in the Ingenio-Junín district. For data processing, we use the plithogenic soft set theory. On the one hand, plithogenic theory allows for the modeling of multidimensional phenomena with dynamics composed of elements of diverse origin, where each concept, its opposite, and its neutral are considered. Soft set theory effectively models the uncertainty inherent in data derived from human subjectivity. Plithogenic soft sets are the product of the hybridization of both concepts, which allows us to take advantage of the benefits of both tools. The study we propose to conduct depends on variables of diverse origin, having uncertainty in the measurements. This is why plithogenic soft sets are suitable for performing the proposed study
Using plithogenic n-SuperHyperGraphs to assess the degree of relationship between information skills and digital competencies
No full textThis study investigates the interdependence between informational skills and digital competencies, and how an educational intervention can strengthen this relationship in university students. Using Plithogenic n-SuperHyperGraphs as a modeling mechanism, 40 students were assessed through questionnaires and practical tests before and after a ten-week experiment. Findings revealed new associations, such as a strong positive correlation (0.82) between information searching and digital literacy. Significantly, the percentage of students with high-level integrated skills increased from 12.5% to 37.5% after the intervention. Although the intervention improved all dimensions regardless of socio-demographic variables, female students, engineering students, and the 18-20 age group showed the greatest progress. The study proposes a novel approach to assess these multidimensional competencies and suggests the need to integrate these transversal skills into university curricula to better prepare students for the digital aca-demic and professional environment
Euthanasia in Ecuador and Latin America: A Comparative Study using Neutrosophic Logic and Multivariate Analysis
No full textThis study aims to analyze the legal, social, and cultural factors that influence the legalization of euthanasia in Ecuador, using a comparative approach with other Latin American countries. The central problem lies in the lack of a comprehensive understanding of how variables such as the degree of secularism, access to palliative care, population religiosity, and ethical and professional perceptions relate to each other in the legislative debate on euthanasia. To this end, a database with 300 records was constructed, integrating quantitative, qualitative, and neutrosophic variables, which allow for the capture of both structural data and ambiguous assessments of morality and professional opinion. The methodology applied is based on Principal Component Analysis (PCA), which allows for the identification of latent axes of variability in the phenomenon, along with a neutrosophic approach that accounts for the uncertainty inherent in ethical judgments. The results show that the first principal components are strongly influenced by factors such as HDI, positive moral appraisal, and religiosity, revealing clusters of records with similar normative and cultural profiles. It is concluded that euthanasia is a multidimensional phenomenon, whose understanding requires the use of methods that capture both latent structures and ethical ambiguity, with PCA and Neutrosophic being key complementary tools in this analysis