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Sexual orientation and gender identity are fundamental aspects of every individual's life, protected within the framework of human rights. Unfortunately, both categories persist as recurring grounds for discrimination, violence, and oppression, at times perpetuated even by normative regulations. In this context, education plays a crucial role in emphasizing values such as coexistence, diversity, cooperative learning, and empathy to prevent heterosexism. Educators, therefore, must have training that ensures the creation of safe, reliable, and protective learning environments for all students. It is imperative that every student has the right to develop and socialize without fear of exclusion. The focus of this study is to analyze the consensus and acceptance among experts regarding the factors influencing gender identity in the educational context, using the neutrosophic statistical method. As a result, it was concluded that a reform of current regulations is necessary, coupled with the implementation of human rights training programs, to eradicate deeply rooted prejudices. [ABSTRACT FROM AUTHOR]

This paper presents a neutrosophic study on attitudes towards virtual technology, with a special focus on the "Experience Machine". Employing a methodology that incorporates the theory of indecision and neutrality into response analysis, the perceptions of 50 university students were investigated. Opinions and feelings were transformed into neutrosophic numbers to calculate contradiction and conduct a detailed analysis. The results indicate a predisposition towards agreement with virtual technology, although notable indecision and a significant presence of neutral attitudes were detected. The correlations and clustering methods applied reveal a complex dynamic of attitudes, challenging binary interpretations and highlighting the need for more nuanced strategies. This neutrosophic approach offers new perspectives for the development and marketing of innovative technologies, recognizing the diversity of emotions and opinions in user responses to emerging technologies. [ABSTRACT FROM AUTHOR]

The Assessment Center becomes an interesting method to measure the degree of development of the competences acquired by the students of superior level, through a set of predefined situations. This technique allows to find a better adaptation of the future graduates to the labor profile, from a competence perspective. For this reason, the objective of this paper is to analyze from a descriptive theoretical approach of the Assessment Center as a technique for evaluating the competencies of students in their university training process. [ABSTRACT FROM AUTHOR]

The interrelationship between Artificial Intelligence and Law aims to analyze, to structure orderly and logically, to deduce and interpret the legal dogmatic through the use of the New Technologies of Information and Communication (NICT), or a successful treatment, management, recovery, access and control, whose achievements are predetermined to support legal decision-making. That is why the objective of this article is to analyze the taxed to the decision-making process of legal operators using Expert Systems and neutrosophics evaluations. [ABSTRACT FROM AUTHOR]

Neutrophic offsets are neutrosophic sets whose truth-values lie outside the interval [0, 1].Uninorms are aggregation operators defined in fuzzy logic to generalize t-norms and t-conorms. They satisfy the axioms of symmetry, associativity, monotony and the existence of a neutral element. Fuzzy uninorms have been generalized to intuitionistic fuzzy sets, neutrosophic sets, and neutrosophic offsets, which are called offuninorms in the latter case. This paper aims to demonstrate that offsets and offuninorms can be used in digital image processing, especially for image segmentation and edge detection, moreover algorithms and examples are also provided. [ABSTRACT FROM AUTHOR]

Neutrophic offsets are neutrosophic sets whose truth-values lie outside the interval [0, 1].Uninorms are aggregation operators defined in fuzzy logic to generalize t-norms and t-conorms. They satisfy the axioms of symmetry, associativity, monotony and the existence of a neutral element. Fuzzy uninorms have been generalized to intuitionistic fuzzy sets, neutrosophic sets, and neutrosophic offsets, which are called offuninorms in the latter case. This paper aims to demonstrate that offsets and offuninorms can be used in digital image processing, especially for image segmentation and edge detection, moreover algorithms and examples are also provided. [ABSTRACT FROM AUTHOR]