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Open Access January 10, 2025

Artificial Immune Systems: A Bio-Inspired Paradigm for Computational Intelligence

Abstract Artificial Immune Systems (AIS) are bio-inspired computational frameworks that emulate the adaptive mechanisms of the human immune system, such as self/non-self discrimination, clonal selection, and immune memory. These systems have demonstrated significant potential in addressing complex challenges across optimization, anomaly detection, and adaptive system control. This paper provides a [...] Read more.
Artificial Immune Systems (AIS) are bio-inspired computational frameworks that emulate the adaptive mechanisms of the human immune system, such as self/non-self discrimination, clonal selection, and immune memory. These systems have demonstrated significant potential in addressing complex challenges across optimization, anomaly detection, and adaptive system control. This paper provides a comprehensive exploration of AIS applications in domains such as cybersecurity, resource allocation, and autonomous systems, highlighting the growing importance of hybrid AIS models. Recent advancements, including integrations with machine learning, quantum computing, and bioinformatics, are discussed as solutions to scalability, high-dimensional data processing, and efficiency challenges. Core algorithms, such as the Negative Selection Algorithm (NSA) and Clonal Selection Algorithm (CSA), are examined, along with limitations in interpretability and compatibility with emerging AI paradigms. The paper concludes by proposing future research directions, emphasizing scalable hybrid frameworks, quantum-inspired approaches, and real-time adaptive systems, underscoring AIS's transformative potential across diverse computational fields.
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Article
Open Access October 26, 2022

Asymptotic Properties of the Semigroup Generated by a Continuous Interval Map

Abstract The article's purpose is twofold. First, we wish to draw attention to the insufficiently known field of continuous-time difference equations. These equations are paradigmatic for modeling complexity and chaos. Even the simplest equation , easily leads to complex dynamics, its solutions are perfectly suited to simulate strong nonlinear phenomena such as large-to-small cascades of structures, [...] Read more.
The article's purpose is twofold. First, we wish to draw attention to the insufficiently known field of continuous-time difference equations. These equations are paradigmatic for modeling complexity and chaos. Even the simplest equation , easily leads to complex dynamics, its solutions are perfectly suited to simulate strong nonlinear phenomena such as large-to-small cascades of structures, intermixing, formation of fractals, etc. Second, in the main body of the article we present a small but very important part of the theory behind the above equation marked by . Just as the discrete-time analog of this equation induces the one-dimensional dynamical system on some interval , so the equation induces the infinite-dimensional dynamical system on the space of functions . In the latter case, not only are the long-term behaviours of solutions critically dependent on the limit behaviour of the sequence (as in the discrete case) but also on the internal structure of as . Assuming to be continuous, we consider the iterations of as the semigroup generated by on the space of continuous maps, and introduce the notion of a limit semigroup for in a wider map space in order to investigate asymptotic properties of . We construct a limit semigroup in the space of upper semicontinuous maps. This enables us to describe both of the aforementioned aspects of our interest around the iterations of.
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Article
Open Access April 06, 2022

Geobotanical field activities for learning landscape interpretation concepts and methods for university students

Abstract The objective of this work is to materialize the learning of geobotanical concepts, and a methodology for the interpretation of the landscape, which allows the student to acquire practical knowledge, to obtain sufficient autonomy that allows him to join the labor market. Regarding the methodology, 100 field samples are taken for 3 years, and the participation of 60 students. The evaluation is [...] Read more.
The objective of this work is to materialize the learning of geobotanical concepts, and a methodology for the interpretation of the landscape, which allows the student to acquire practical knowledge, to obtain sufficient autonomy that allows him to join the labor market. Regarding the methodology, 100 field samples are taken for 3 years, and the participation of 60 students. The evaluation is carried out through reports on the field study. The landscapes of various areas of southern Spain are studied. For this we rely on the methodology previously established by other researchers, through which a complete diagnosis of a territory is reached, since the series and geoseries of vegetation are revealed. Being a study of natural reality, the abstract character presented by concepts such as sigmetum, sinassociation, series, geoseries, climatophilous, edaphoxerophilous, chain; it is perfectly clarified to the student, which makes the student progress efficiently, coming to the fore the acquisition of practical knowledge compared to theoretical ones. For this reason, practical teaching acquires preponderance, since it not only provides knowledge, but also development of cognitive and psychomotor skills, which are essential in the acquisition of skills and development of the individual's personality.
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Innovation Article
Open Access January 19, 2026

Mature Cataract, A Veil Concealing, A Pachychoroid Spectrum: About Two Cases

Abstract The pachychoroid spectrum is a new entity grouping pathologies with common choroidal features. First described in 2013 by American ophthalmologist Bailey Freund and his team [1]. It is defined by a diffuse or focal increase in choroidal thickness with dilatation of choroidal vessels adjacent to Bruch's membrane, associated with retinal pigment epithelial dysfunction, loss of the choriocapillaris [...] Read more.
The pachychoroid spectrum is a new entity grouping pathologies with common choroidal features. First described in 2013 by American ophthalmologist Bailey Freund and his team [1]. It is defined by a diffuse or focal increase in choroidal thickness with dilatation of choroidal vessels adjacent to Bruch's membrane, associated with retinal pigment epithelial dysfunction, loss of the choriocapillaris and thinning of Sattler's layer [1, 2]. At present, the pachychoroid spectrum includes well-known pathologies such as central serous chorioretinitis (CSCR) and polypoidal choroidal vasculopathy (PCV), as well as pathologies of more recent description such as epitheliopathy or type 1 neovessels secondary to pachychoroid, pachydrusen, choroidal excavation and peripapillary pachychoroid. The morphological changes of the lens which is a cataract can be unilateral or bilateral and occur symmetrically or not over variable durations. A cataract is said to be mature when the opacification occupies the entire lens, it induces a complete loss of vision. It makes the visualization of the fundus reflection impossible, which explains the impossibility of visualizing hemorrhages and other lesions of the eye with the possibility of concealing a pachychoroid spectrum during the ocular examination in patients. The aim of our study is to describe the symptomatology and therapeutic approach of SPC.
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