We extend Barbanera and Berardi's symmetric lambda calculus [2] to second-order classical propositional logic and prove its strong normalization.

In the present paper, we prove the normalization theorem and the consistency of the first-order classical logic with disjunctive syllogism. First, we propose the natural deduction system SCD for classical propositional logic having rules for conjunction, implication, negation, and disjunction. The rules for disjunctive syllogism are regarded as the rules for disjunction. After we prove the normalization theorem and the consistency of SCD, we extend SCD to the system SPCD for the first-order classical logic with disjunctive syllogism. It can be (...) shown that SPCD is conservative extension to SCD. Then, the normalization theorem and the consistency of SPCD are given. (shrink)

Data normalization is a crucial step in database management systems (DBMS), ensuring consistency, minimizing redundancy, and enhancing query performance. Traditional methods of normalization in supermarket sales databases often demand significant manual effort and domain expertise, making the process time-consuming and prone to errors. This paper introduces an innovative machine learning (ML)-based framework to automate data normalization in supermarket sales databases. The proposed approach utilizes both supervised and unsupervised ML techniques to identify functional dependencies, detect anomalies, and suggest optimal schema transformations. (...) Experiments on supermarket sales datasets show substantial improvements in accuracy, scalability, and processing time compared to traditional approaches. The results emphasize the potential of incorporating ML into database management practices to boost operational efficiency and support better decision-making. (shrink)

The main objective of this PhD Thesis is to present a method of obtaining strong normalization via natural ordinal, which is applicable to natural deduction systems and typed lambda calculus. The method includes (a) the definition of a numerical assignment that associates each derivation (or lambda term) to a natural number and (b) the proof that this assignment decreases with reductions of maximal formulas (or redex). Besides, because the numerical assignment used coincide with the length of a specific sequence of (...) reduction - the worst reduction sequence - it is the lowest upper bound on the length of reduction sequences. The main commitment of the introduced method is that it is constructive and elementary, produced only through analyzing structural and combinatorial properties of derivations and lambda terms, without appeal to any sophisticated mathematical tool. Together with the exposition of the method, it is presented a comparative study of some articles in the literature that also get strong normalization by means we can identify with the natural ordinal methods. Among them we highlight Howard[1968], which performs an ordinal analysis of Godel’s Dialectica interpretation for intuitionistic first order arithmetic. We reveal a fact about this article not noted by the author himself: a syntactic proof of strong normalization theorem for the system of typified lambda calculus λ⊃ is a consequence of its results. This would be the first strong normalization proof in the literature. (written in Portuguese). (shrink)

There is no doubt that slurs harm. They do so by denigrating their targets, by putting them down, by marginalizing them. This is why in many legislations around the world, the use of slurs has been banned or penalized. But should all uses of slurs be banned? Many uses of slurs are non-derogatory and seem to have beneficial effects. However, such uses are double-faceted: as both armchair reflection and experimental studies have shown, they are able to produce harm as well. (...) In this paper, I approach the broad question of whether all non-derogatory uses of slurs should be banned. I first present the main uses of slurs that have been considered to be non-derogatory and recent reactions to those. The upshot of this survey is that uses of slurs that have been considered non-derogatory do, in fact, produce harm. I also flag what various authors have recommended in relation to the issue of banning such uses. Against this background, I engage with a recent view put forward by Alba Moreno Zurita and Eduardo Pérez-Navarro, who urge extreme caution with respect to any uses of slurs, due to their potential to normalize derogation. After presenting their view and their main argument, I raise an objection related to their treatment of neutral uses of slurs. I end with pointing out that, while their endeavour has merit in that it pushes the discussion further, it raises certain issues that need addressing, both empirical and normative. (shrink)

Bilateralists hold that the meanings of the connectives are determined by rules of inference for their use in deductive reasoning with asserted and denied formulas. This paper presents two bilateral connectives comparable to Prior's tonk, for which, unlike for tonk, there are reduction steps for the removal of maximal formulas arising from introducing and eliminating formulas with those connectives as main operators. Adding either of them to bilateral classical logic results in an incoherent system. One way around this problem is (...) to count formulas as maximal that are the conclusion of reductio and major premise of an elimination rule and to require their removability from deductions. The main part of the paper consists in a proof of a normalisation theorem for bilateral logic. The closing sections address philosophical concerns whether the proof provides a satisfactory solution to the problem at hand and confronts bilateralists with the dilemma that a bilateral notion of stability sits uneasily with the core bilateral thesis. (shrink)

This paper proves normalisation theorems for intuitionist and classical negative free logic, without and with the $\invertediota$ operator for definite descriptions. Rules specific to free logic give rise to new kinds of maximal formulas additional to those familiar from standard intuitionist and classical logic. When $\invertediota$ is added it must be ensured that reduction procedures involving replacements of parameters by terms do not introduce new maximal formulas of higher degree than the ones removed. The problem is solved by a (...) rule that permits restricting these terms in the rules for $\forall$, $\exists$ and $\invertediota$ to parameters or constants. A restricted subformula property for deductions in systems without $\invertediota$ is considered. It is improved upon by an alternative formalisation of free logic building on an idea of Ja\'skowski's. In the classical system the rules for $\invertediota$ require treatment known from normalisation for classical logic with $\lor$ or $\exists$. The philosophical significance of the results is also indicated. (shrink)

This paper considers a formalisation of classical logic using general introduction rules and general elimination rules. It proposes a definition of ‘maximal formula’, ‘segment’ and ‘maximal segment’ suitable to the system, and gives reduction procedures for them. It is then shown that deductions in the system convert into normal form, i.e. deductions that contain neither maximal formulas nor maximal segments, and that deductions in normal form satisfy the subformula property. Tarski’s Rule is treated as a general introduction rule for implication. (...) The general introduction rule for negation has a similar form. Maximal formulas with implication or negation as main operator require reduction procedures of a more intricate kind not present in normalisation for intuitionist logic. (shrink)

This paper studies a formalisation of intuitionistic logic by Negri and von Plato which has general introduction and elimination rules. The philosophical importance of the system is expounded. Definitions of ‘maximal formula’, ‘segment’ and ‘maximal segment’ suitable to the system are formulated and corresponding reduction procedures for maximal formulas and permutative reduction procedures for maximal segments given. Alternatives to the main method used are also considered. It is shown that deductions in the system convert into normal form and that deductions (...) in normal form have the subformula property. (shrink)

This note corrects an error in my paper 'Normalisation and Subformula Property for a System of Classical Logic with Tarski's Rule' (Archive for Mathematical Logic 61 (2022): 105-129, DOI 10.1007/s00153-021-00775-6): Theorem 2 is mistaken, and so is a corollary drawn from it as well as a corollary that was concluded by the same mistake. Luckily this does not affect the main result of the paper.

This brief note corrects an error in one of the reduction steps in my paper 'Normalisation for Bilateral Classical Logic with some Philosophical Remarks' published in the Journal of Applied Logics 8/2 (2021): 531-556.

Feminists have indicated the inadequacies of bioethical debates about human embryonic stem cell research, which have for the most part revolved around concerns about the moral status of the human embryo. Feminists have argued, for instance, that inquiry concerning the ethics and politics of human embryonic stem cell research should consider the relations of social power in which the research is embedded. My argument is that this feminist work on stem cells is itself inadequate, however, insofar as it has not (...) incorporated an analysis of disability into its considerations of the ethical and political issues that surround the phenomena. Thus, I consider claims that disability theorists and anti-disability activists have made about the research. I conclude by indicating that stem cell research must be situated within a cultural matrix that operates in the service of normalisation. (shrink)

Roderich Tumulka’s GRWf theory offers a simple, realist and relativistic solution to the measurement problem of quantum mechanics. It is achieved by the introduction of a stochastic dynamical collapse of the wavefunction. An issue with dynamical collapse theories is that they involve an amendment to the Schrodinger equation; amending the dynamics of such a tried and tested theory is seen by some as problematic. This paper proposes an alteration to GRWf that avoids the need to amend the Schrodinger equation via (...) what might be seen as a primary set of solutions to the Schrodinger equation that satisfy a normalisation condition over space and time. The traditional Born-normalised solutions are shown to be conditionalisations of these primary solutions. (shrink)

In this paper, we argue that there are reasons to believe that an implicit bias for normalcy influences what are considered medically necessary treatments in psychiatry. First, we outline two prima facie reasons to suspect that this is the case. A bias for ‘the normal’ is already documented in disability studies; it is reasonable to suspect that it affects psychiatry too, since psychiatric patients, like disabled people, are often perceived as ‘weird’ by others. Secondly, psychiatry's explicitly endorsed values of well-being (...) and function are hard to measure directly, which is why we see simpler box-ticking conceptions of recovery used in large research studies. This need not be problematic, but might lead to researchers and clinicians focusing too much on treatments that promote easy-to-measure proxies for recovery, instead of what actually matters to psychiatric patients themselves. Next, we provide examples of treatments and treatment decisions within two areas – self-injury and psychosis – which are hard to explain unless we assume that an implicit and harmful normalcy bias is at work. We conclude with some suggestions for clinicians and future research. (shrink)

This paper presents a way of formalising definite descriptions with a binary quantifier ι, where ιx[F, G] is read as ‘The F is G’. Introduction and elimination rules for ι in a system of intuitionist negative free logic are formulated. Procedures for removing maximal formulas of the form ιx[F, G] are given, and it is shown that deductions in the system can be brought into normal form.

In this paper, I will reread the history of molecular genetics from a psychoanalytical angle, analysing it as a case history. Building on the developmental theories of Freud and his followers, I will distinguish four stages, namely: (1) oedipal childhood, notably the epoch of model building (1943–1953); (2) the latency period, with a focus on the development of basic skills (1953–1989); (3) adolescence, exemplified by the Human Genome Project, with its fierce conflicts, great expectations and grandiose claims (1989–2003) and (4) (...) adulthood (2003–present) during which revolutionary research areas such as molecular biology and genomics have achieved a certain level of normalcy—have evolved into a normal science. I will indicate how a psychoanalytical assessment conducted in this manner may help us to interpret and address some of the key normative issues that have been raised with regard to molecular genetics over the years, such as ‘relevance’, ‘responsible innovation’ and ‘promise management’. (shrink)

Responding to recent calls made within UK Parliament for a government-backed definition of Islamophobia, this article considers the unanticipated consequences of such proposals. I argue that, considered in the context of related efforts to regulate hate speech, the formulation and implementation of a government-sponsored definition will generate unforeseen harms for the Muslim community. To the extent that such a definition will fail to address the government’s role in propagating Islamophobia through ill-considered legislation that conflates Islamist discourse with hate speech, the (...) concept of a government-backed definition of Islamophobia appears hypocritical and untenable. Alongside opposing government attempts to define Islamophobia (and Islam), I argue that advocacy efforts should instead focus on disambiguating government counter-terrorism initiatives from the government management of controversies within Islam. Instead of repeating the mistakes of the governmental adoption of the IHRA definition of antisemitism by promoting a new definition of Islamophobia, we ought to learn from the errors that were made. We should resist the gratuitous securitization of Muslim communities, rather than use such definitions to normalize compliance with the surveillance state. (shrink)

The verb to legitimate is often used in political discourse in a way that is prima facie perplexing. To wit, it is often said that an actor legitimates a practice which is officially prohibited in the relevant context – for example, that a worker telling sexist jokes legitimates sex discrimination in the workplace. In order to clarify the meaning of statements like this, and show how they can sometimes be true and informative, we need an explanation of how something that (...) is officially illegitimate can have a kind of ersatz legitimacy conferred on it, and how this can occur even when the actor ‘doing the legitimating’ lacks formal authority. I examine one putative explanation centred around the phenomenon of normalization, and I highlight some advantages that this account has in comparison to an alternative explanation, one that makes reference to the phenomenon of licensed authority. (shrink)

Data cleaning and preprocessing are fundamental steps in the data analysis pipeline. These processes involve transforming raw data into a usable format by identifying and rectifying inconsistencies, errors, and missing values. Given the importance of data quality in achieving accurate and reliable analytical results, understanding the best practices for these stages is crucial. This paper outlines key techniques for data cleaning and preprocessing, including handling missing data, detecting and managing outliers, data normalization, encoding categorical variables, and dealing with noisy data. (...) Additionally, it explores the importance of these practices in ensuring robust and insightful analysis. (shrink)

Niepełnosprawność jest jedn¸a} z cech różnicuj¸a}cych jednostki i grupy we współczesnych społeczeństwach. Osoby o ograniczonej sprawności fizycznej, poznawczej i psychicznej s¸a} szczególnie narażone na dyskryminacjȩ oraz wykluczenie społeczne, gospodarcze i polityczne. Co istotne kwestia socjalna osób niepełnosprawnych na pocz¸a}tku XXI wieku zmienia siȩ wchodz¸ac w relacjȩ z procesem starzenia siȩ ludności. Artykuł ma na celu przybliżenie wybranych teoretycznych koncepcji działań na rzecz poprawy wizerunku niepełnosprawności i ograniczania barier doświadczanych przez osoby niepełnosprawne w dostȩpie do różnego rodzaju zasobów, przestrzeni i szans. (...) Krytyczna analiza literatury przedmiotu obejmuje wskazanie cech koncepcji polityki aktywizacji oraz zasad i celów polityki społecznej w holistycznym paradygmacie normalizacji. Podsumowanie zawiera możliwe dalsze kierunki badań i analiz. ** Disability is one of the features that differentiate individuals and groups in modern societies. People with reduced physical, cognitive and psychological efficiency are particularly exposed to discrimination and social, economic and political exclusion. What’s important social issue of people with disabilities in the early 21st century changes by entering into a relationship with the ageing of the population. Article aims to introduce some theoretical concepts efforts to improve the image of disability and reduce the barriers faced by persons with disabilities in access to different kinds of resources, spaces and opportunities. A critical analysis of the literature includes: description of the concept of activation policy as well as principles and objectives of social policy in a holistic paradigm of normalization. This summary contains possible future directions of research and analysis. (shrink)

In this paper, I argue that visual attention is cognitively penetrated by intention. I present a detailed account of attention and its neural basis, drawing on a recent computational model of neural modulation during attention: divisive normalization. I argue that intention shifts computations during divisive normalization. The epistemic consequences of attentional bias are discussed.

The paper identifies the phenomenal rise of increasingly invasive forms of elective cosmetic surgery targeted primarily at women and explores its significance in the context of contemporary biotechnology. A Foucauldian analysis of the significance of the normalization of technologized women's bodies is argued for. Three "Paradoxes of Choice" affecting women who "elect" cosmetic surgery are examined. Finally, two utopian feminist political responses are discussed: a Response of Refusal and a Response of Appropriation.

Beauty filters are automated photo editing tools that use artificial intelligence and computer vision to detect facial features and modify them, allegedly improving a face’s physical appearance and attractiveness. Widespread use of these filters has raised concern due to their potentially damaging psychological effects. In this paper, I offer an account that examines the effect that interacting with such filters has on self-perception. I argue that when looking at digitally-beautified versions of themselves, individuals are looking at AI-curated distorted mirrors. This (...) helps identify two potential cognitive effects of this behavior. First, it can elicit affective attitudes that change how individuals feel when looking at their unfiltered self-images. Second, exposure to filtered self-images might cause a perceptual normalization of such images. Finally, I argue that this form of distorted mirror gazing is a novel cultural practice for self-perception, and I highlight some ways in which this practice could be critically evaluated and ultimately changed. (shrink)

This article critically examines the feminist movement in Ciudad Juárez, Mexico, highlighting the struggles and activism of Juarense women against social injustices, particularly those exacerbated by machismo, the Narco War, and the manufacturing industry. The analysis explores the roots of machismo in Mexican culture, the impact of the maquiladora industry on women's lives, and the rise of feminist activism in response to these challenges. Emphasizing the intersection of gender violence and legal frameworks, the article incorporates feminist legal theory to argue (...) for substantial legal reforms to combat the normalization of machismo and feminicide. It further discusses the resilience and determination of Juarense women, portraying their efforts as part of the broader global feminist movement. (shrink)

This article critically examines the feminist movement in Ciudad Juárez, Mexico, highlighting the struggles and activism of Juarense women against social injustices, particularly those exacerbated by machismo, the Narco War, and the manufacturing industry. The analysis explores the roots of machismo in Mexican culture, the impact of the maquiladora industry on women's lives, and the rise of feminist activism in response to these challenges. Emphasizing the intersection of gender violence and legal frameworks, the article incorporates feminist legal theory to argue (...) for substantial legal reforms to combat the normalization of machismo and feminicide. It further discusses the resilience and determination of Juarense women, portraying their efforts as part of the broader global feminist movement. (shrink)

"Why are there 'transsexuals' but not 'transracials'?" "Why is there an accepted way to change sex, but not to change race?" I have repeatedly heard these questions from theorists puzzled by the phenomenon of transsexuality. Feminist thinkers, in particular, often seem taken aback that in the case of category switching the possibilities appear to be so different. Behind the question is sometimes an implicit concern: Does not the (hypothetical or real) example of individual “transracialism” seem politically troubling? And, if it (...) is, does not the case of transsexuality merit equivalent critique? Or, conversely, if one accepts transsexuals as people with legitimate demands (e.g., on medical resources or single-sex spaces), then would one not also be committed to accepting the putative transracial in analogous ways? Understanding the ontological constraints and possibilities with regard to transforming one’s identity is, I suggest, a project that should accompany ethical evaluation of those transformations. Under what circumstances is it (un)ethical to leave behind a gender or racial group with which one has once been affiliated? This question is, again, especially pressing for radical thinkers who endorse the claims that race and gender taxonomies are internally hierarchical and constituted through relations of oppression, domination, and normalization. Changing one’s identity under these circumstances will surely always be linked, however tenuously, to consideration of the larger political and cultural milieu in which such changes are advantageous or disadvantageous, complicit with oppressive norms and/or resistant to them. To illuminate these larger questions, in this paper, I first provide three examples of the analogy thesis in feminist thinking about race and sex change, each of which draws ethical conclusions about individual motivation, political strategy, or public policy, premised on the assumption that race and sex change are equivalent phenomena. None of these accounts consider the genealogy of each category as significant to contemporary possibilities. I next offer a descriptive analysis that highlights different norms at play in contemporary North American understandings: Sex–gender, I argue, is essentialized as a property of the individual’s body, while race is essentialized with reference to both the body and ancestry. This analysis, I conclude, shows politically significant disanalogies between the categories, and reveals the importance of genealogical accounts of race and sex in thinking ethically about changing ourselves. (shrink)

The third volume of “Advancing Uncertain Combinatorics through Graphization, Hyperization, and Uncertainization: Fuzzy, Neutrosophic, Soft, Rough, and Beyond” presents an in-depth exploration of the cutting-edge developments in uncertain combinatorics and set theory. This comprehensive collection highlights innovative methodologies such as graphization, hyperization, and uncertainization, which enhance combinatorics by incorporating foundational concepts from fuzzy, neutrosophic, soft, and rough set theories. These advancements open new mathematical horizons, offering novel approaches to managing uncertainty within complex systems. Combinatorics, a discipline focused on counting, arrangement, (...) and structure, often faces challenges when uncertainty is present. Set theory, which underpins combinatorial problems, has evolved to tackle these challenges. The introduction of fuzzy and neutrosophic sets has expanded the toolkit for modeling uncertainty by incorporating elements of truth, indeterminacy, and falsehood into decision-making processes. These innovations seamlessly intersect with graph theory, providing new ways to represent uncertain structures through "graphized" forms such as hypergraphs and superhypergraphs. This volume also introduces advanced concepts like Neutrosophic Oversets, Undersets, and Offsets, which push the boundaries of classical graph theory and offer deeper insights into the mathematical and practical challenges posed by real-world systems. By blending combinatorics, set theory, and graph theory, the authors have created a robust framework for addressing uncertainty in both mathematical systems and their real-world applications. This foundation sets the stage for future breakthroughs in combinatorics, set theory, and related fields. Each chapter in this volume contributes both theoretical foundations and practical applications, demonstrating the power of integrating graph theory, set theory, and uncertainty models. The new ideas, algorithms, and mathematical tools presented here will drive the future of combinatorial research and its applications in uncertain environments. In the first chapter, “Introduction to Upside-Down Logic: Its Deep Relation to Neutrosophic Logic and Applications”, the authors present Upside-Down Logic, a novel logical framework that systematically transforms truths into falsehoods and vice versa, based on contextual shifts. Introduced by F. Smarandache, this paper provides a mathematical definition of Upside-Down Logic, including applications related to the Japanese language. The chapter also introduces Contextual Upside-Down Logic, an extension that adjusts logical connectives alongside flipped truth values, as well as Indeterm-Upside-Down Logic and Certain Upside-Down Logic to address indeterminacy. A simple algorithm is also proposed to demonstrate the computational aspects of this logic. In the second chapter, “Local-Neutrosophic Logic and Local-Neutrosophic Sets: Incorporating Locality with Applications”, the authors introduce Local-Neutrosophic Logic and Local-Neutrosophic Sets, which integrate the concept of locality into Neutrosophic Logic. By defining locality as the influence of immediate surroundings on an object or system, this chapter explores how it affects indeterminacy in real-world problems. The paper also examines potential applications and provides mathematical definitions for these new concepts. The third chapter, “A Review of Fuzzy and Neutrosophic Offsets: Connections to Some Set Concepts and Normalization Function”, extends the concept of offsets in uncertain set-theoretic frameworks, such as Fuzzy Sets, Neutrosophic Sets, and Plithogenic Sets. This chapter introduces several advanced types of offsets, including Nonstationary Fuzzy Offset, Multi-valued Plithogenic Offset, and Subset-valued Neutrosophic Offset, offering deeper insights into handling uncertainty in mathematical models. In the fourth chapter, “Review of Plithogenic Directed, Mixed, Bidirected, and Pangene OffGraph”, the authors build upon Plithogenic Graphs to propose extensions such as Plithogenic Directed OffGraph, Plithogenic BiDirected OffGraph, and Plithogenic Mixed OffGraph. These new concepts, including the Plithogenic Pangene OffGraph, are explored in detail, with a focus on their mathematical properties and potential applications in uncertain graph theory. The fifth chapter, “Short Note on Neutrosophic Closure Matroids”, explores the extension of matroid concepts into Neutrosophic and Turiyam Neutrosophic set theories, introducing Neutrosophic closure matroids. This concept integrates uncertainty, indeterminacy, and liberal states into matroid theory, enhancing its applicability in optimization and combinatorial problems. In the sixth chapter, “Some Graph Parameters for Superhypertree-width and Neutrosophic Tree-width”, the authors discuss graph parameters such as Superhypertree-width and Neutrosophic tree-width. These parameters play a crucial role in the study of graph characteristics, particularly in algorithms and real-world applications. The chapter explores the generalization of hypergraphs to SuperHyperGraphs and examines how these concepts extend tree-width parameters within the context of Neutrosophic logic. (shrink)

A straightforward way to handle moral uncertainty is simply to follow the moral theory in which you have most credence. This approach is known as My Favourite Theory. In this paper, I argue that, in some cases, My Favourite Theory prescribes choices that are, sequentially, worse in expected moral value than the opposite choices according to each moral theory you have any credence in. In addition this, problem generalizes to other approaches that avoid intertheoretic comparisons of value, such as My (...) Favourite Option, the Borda Rule, Variance Normalization, and the Principle of Maximizing Expected Normalized Moral Value. (shrink)

Triviality results threaten plausible principles governing our credence in epistemic modal claims. This paper develops a new account of modal credence which avoids triviality. On the resulting theory, probabilities are assigned not to sets of worlds, but rather to sets of information state-world pairs. The theory avoids triviality by giving up the principle that rational credence is closed under conditionalization. A rational agent can become irrational by conditionalizing on new evidence. In place of conditionalization, the paper develops a new account (...) of updating: conditionalization with normalization. (shrink)

Shame is notoriously ambivalent. On one hand, it operates as a mechanism of normalization and social exclusion, installing or reinforcing patterns of silence and invisibility; on the other hand, the capacity for shame may be indispensible for ethical life insofar as it attests to the subject’s constitutive relationality and its openness to the provocation of others. Sartre, Levinas and Beauvoir each offer phenomenological analyses of shame in which its basic structure emerges as a feeling of being exposed to others and (...) bound to one’s own identity. For Sartre, shame is an ontological provocation, constitutive of subjectivity as a being-for-Others. For Levinas, ontological shame takes the form of an inability to escape one’s own relation to being; this predicament is altered by the ethical provocation of an Other who puts my freedom in question and commands me to justify myself. For Beauvoir, shame is an effect of oppression, both for the woman whose embodied existence is marked as shameful, and for the beneficiary of colonial domination who feels ashamed of her privilege. For each thinker, shame articulates the temporality of social life in both its promise and its danger. (shrink)

The problem of immigrant migration risk analysis is deeply studied and there are number of issues identified in the selection of country. There exists number of approaches available in the selection of countries towards migration. However, the methods do not produce effective results in the selection of migrant country. To handle this issue, an efficient real-time migrant risk analysis model (RMAM) is presented in this article. The method uses the traces of previos migration histories and data set maintained by the (...) model. Using the migration data set, the method preprocesses the data set for noise removal and normalization. With the normalized data set, the method applies Nation Centric Religious Support Analysis and Psychological Support Analysis. The nation centric religious support analysis algorithm measure the risk factors on religious features by computing National Religious Support (NRS) and the Psychological Support Analysis algorithm computes the value of Psychological Support (PS) for different countries. Based on the result of different analysis, the method computes Migration Support (MS) for various countries towards the selection of migration countries. The proposed model improves the performance of risk analysis and migration control. (shrink)

The Web Article Summarizer is an advanced NLP-based application that leverages state-of-the-art transformer models, including BART for abstractive summarization and BERT for contextual understanding, combined in a dual-encoder architecture to generate accurate and coherent summaries from lengthy articles. Built using the Flask framework, the system features a scalable RESTful API that enables seamless integration with web and mobile platforms, while its multi-stage preprocessing pipeline ensures optimal text normalization and feature extraction. Evaluated using ROUGE metrics, the solution demonstrates superior performance in (...) maintaining content integrity and domain-specific terminology handling compared to traditional methods. Designed for researchers, students, and professionals, this tool addresses information overload challenges by delivering concise yet comprehensive summaries, with future enhancements planned for multilingual support via mBART, cloud deployment for real-time processing, and JWT authentication for secure API access, making it a versatile and powerful solution for automated text summarization across diverse applications. (shrink)

This paper examines the possibility of parenting as a queer practice. Examining definitions of “queer” as resistant to presumptions and practices of reprosexuality and repro-narrativity (Michael Warner), bourgeouis norms of domestic space and family time (Judith Halberstam), and policies of reproductive futurism (Lee Edelman), I argue that queer parenting is possible. Indeed, parenting that resists practices of normalization are, in part, realized by certain types of postmodern families. However, fully actualizing the possibility of parenting queerly—and thus teaching our children the (...) values of non-normativity--requires engaging political struggles for distributive justice. These are, thus, the struggles that should be at the center of queer politics, rather than the current struggles for gay marriage and homoparental rights. (shrink)

This article presents a new account of the relationship between Michel Foucault’s work and neoliberalism, aiming to show that the relationship is significantly more complicated than either Foucault’s critics or defenders have appreciated in the recent controversy. On the one hand, I argue that Foucault’s salutary response to some of Gary Becker’s ideas in the lecture course from 1979 should be read together with the argument of Discipline and Punish. By means of this contextualization I show that Foucault’s sympathetic response (...) to Becker is limited to the domain of penal practices, specifically concerning the question of how to resist their rationality of normalization, and thus it involves no broader commitment to neoliberal economic theory or its political implications. On the other hand, however, I argue that there is a strategic allegiance between Foucault’s work and the ascendance of the neoliberal rationality of governing, although it has nothing to do with his sympathetic engagement with Becker’s work. Instead, I explain how Foucault’s focus on the political stakes of subjectivity has helped to congeal, in the posthumous neoliberal context, a conception of politics that leaves out the topic of economic equality. To explain how Foucault’s work has had this unintended yet lasting effect, I introduce the concept of topical exclusion. It designates a social mechanism of producing ignorance, which operates by directing attention instead of creating false consciousness. The strategic relationship between Foucault’s work and neoliberalism today illustrates that this type of explanation is essential in the analysis of power relations. Thus, my account motivates the adoption of topical exclusion as a conceptual supplement that equips the Foucaultian framework to study cases in which relations of power harness, produce, and sustain ignorance, not knowledge. (shrink)

The debate concerning prostitution is centered around two main views: the liberal view and the radical feminist view. The typical liberal view is associated with decriminalization and normalization of prostitution; radical feminism stands in favor of prohibition or abolition. Here, I argue that neither of the views is right. My argument does not depend on the plausible (or actual) side effects of prohibition, abolition, or normalization; rather, I am concerned with the ideals involved. I will concede to liberals their claim (...) that prostitution is not harmful in itself. Yet, I will argue that prostitution cannot be thought of as “just another job”. Even if prostitution is not harmful in itself, it can do much harm. I will argue that a policy of vigilance is the most adequate one to adopt with regard of prostitution, given the risk of harm associated with prostitution. A policy of vigilance tries to discriminate between those who take a certain course of action willingly and those who do not. It puts no restraints on those who exercise their genuine will, but protects those who are openly or subtly coerced. (shrink)

This essay offers an overview of the diversity of women’s prose writing that emerged on the Czech cultural scene in the post-communist era. To that end it briefly characterizes the work of eight Czech women authors who were born within the first two decades after World War II and began to create during the post-1968 era of ‘normalization’. In this broad sense they belong to a single generation. With rare exception their work was not officially published in their homeland until (...) the 1990s. The writers included are: Lenka Procházková, Tereza Boučková, Alexandra Berková, Zuzana Brabcová, Daniela Hodrová, Sylvie Richterová, Iva Pekárková, and Eva Hauserová. The overview is followed by a concise comparative analysis of texts by three very different writers (Procházková, Pekárková, and Hodrová), using a feminist critical approach. There is also an appendix of works by these writers available in English translation. (shrink)

The papers that make up this special issue do not take idealized abstractions of context as their point of departure but rather start with the actual phenomena under study and later generalize. We agree that, more often than not, giving a formal model and providing a theory of a loaded notion – such as context – can lead to important insights. Thus, precise models of context and accompanying theories are useful. However, given the widely different fields, methodologies and worldviews within (...) which people study, an approach that starts with the root phenomena/problems and only attempts normalization and generalization post hoc might be a more productive way to proceed. (shrink)

Maximize Expected Choiceworthiness (MEC) is a theory of decision-making under moral uncertainty. It says that we ought to handle moral uncertainty in the way that Expected Value Theory (EVT) handles descriptive uncertainty. MEC inherits from EVT the problem of fanaticism. Roughly, a decision theory is fanatical when it requires our decision-making to be dominated by low-probability, high-payoff options. Proponents of MEC have offered two main lines of response. The first is that MEC should simply import whatever are the best solutions (...) to fanaticism on offer in decision theory. The second is to propose statistical normalization as a novel solution on behalf of MEC. This paper argues that the first response is open to serious doubt and that the second response fails. As a result, MEC appears significantly less plausible when compared to competing accounts of decision-making under moral uncertainty, which are not fanatical. (shrink)

Customer behavior, market dynamics, and technological advances have made it challenging for marketing theorists to provide comprehensive explanations and actionable insights. Although there are numerous substantive marketing frameworks, no formal marketing theory exists. This study aims to develop the first formal grounded theory in marketing by incorporating artificial intelligence and Forde's conceptual framework as a guiding lens. Charmaz's constructivist grounded theory tradition and Forde's conceptual framework and data analysis strategy were employed for this purpose. The data analysis strategy used with (...) grounded theory’s constant compare-and-contrast method comprises holistic and systems thinking, dramaturgical and situational analysis, perspective-taking, and deconstruction. To evaluate Glaser’s assertion that all is data, artificial intelligence was incorporated into the research as the data source for retrieving the theoretical samples to address the primary research question: How can Forde's conceptual framework and artificial intelligence be leveraged to develop a formal marketing theory grounded in evidence? Of significance was the emergence of democratic marketing behaviors and the normalization of anti-democratic marketing approaches leveraged to manipulate buyers or gain access to segments of customers. Buyers and sellers can simultaneously benefit from and be prejudiced by marketing exchange dynamics. This finding lends credibility to the newly emerged framework of strategic actions where empowerment and disempowerment are leveraged to achieve specific goals. Considering this finding, it is suggested that businesses view marketing as a symbiotic relationship between two power centers, buyers and sellers, who respectively strive to maintain human dignity and sustainability. Researchers are encouraged to apply the framework across substantive areas, international markets, public relations, political campaigns, and others. (shrink)

Resumen La discusión de las políticas culturales del duelo ofrecida por Judith Butler tras los atentados del 11 de septiembre servirá aquí para cuestionar las fracturas sexuales, genéricas y raciales, entre otras, que rigen la inteligibilidad cultural de la vulnerabilidad compartida en contextos pandémicos. Esta revisión de la idea de comunidad se pondrá en relación con el desarrollo de la medicina social urbana explorado por Michel Foucault para deslocalizar la resistencia a los procesos de estigmatización y normalización puestos en marcha (...) por la pandemia del sida para pensar, hoy, las biopolíticas emergentes en nombre del cuidado de la salud colectiva. -/- Abstract The discussion of the cultural politics of mourning offered by Judith Butler after the September 11 attacks will serve here to question the sexual, gender and racial fractures, among others, that govern the cultural intelligibility of shared vulnerability in pandemic contexts. This review of the idea of community will be related to the development of urban social medicine explored by Michel Foucault to delocalize the resistance to the stigmatization and normalization processes set in motion by the AIDS pandemic to think, today, emerging biopolitics in name of public health. (shrink)

Background and Aim: Global trends and national policies have made internationalization and paying attention to the international markets of higher education inevitable on the one hand and becoming a legal requirement of Iranian medical sciences universities on the other hand. Therefore, the main goal of this article was to show, by examining the experience of international marketing of higher education in Tehran University of Medical Sciences, what are the futures of international marketing of higher education in medical sciences? Materials and (...) methods: in this documented data and the views, knowledge and lived experiences of the beneficiaries of the University of Medical Sciences were the basis of the study, and in the following, the methods of documentary studies, trend analysis, brainstorming, expert panel, theme analysis and scenario planning were used. Results: The most important achievement of this article is that among the challenges facing the international marketing of higher education in the University of Medical Sciences, two driving forces have the highest importance and uncertainty in shaping the future of this issue, including: sustainable security and cultural development. Conclusion: The normalization of political and economic relations with the world along with appropriate cultural development inside and outside the university and acceptance of cultural, racial, religious, intellectual, ethnic and gender differences strengthens the marketing process of higher education. In such a situation, the risk of investing in providing international higher education will be reduced. Therefore, the most expensive and the most important uncertainty facing the country's universities in international marketing is the attitude and approach of science and technology governance to the relations and structure governing the international system. (shrink)

This paper applies Judgemental Philosophy to the discourse on neurodivergence, particularly conditions such as autism spectrum disorder (ASD), ADHD, and borderline personality disorder (BPD). We argue that these states should be understood not merely as behavioral differences or deficits, but as structural variations or collapses within the Judgemental Triad—Constructivity, Coherence, and Resonance. Neurodivergent conditions often reveal distinct patterns or difficulties in how judgements are formed (Constructivity), maintained consistently (Coherence), or returned meaningfully (Resonance). We explore how society tends to pathologize ways (...) of being it cannot structurally resonate with, often mistaking structural differences for individual failings. This paper proposes an alternative view: neurodivergence signals not necessarily a deficit, but a deviation or unique configuration in the architecture of cognitive and ethical judgement. The paper concludes with reflections on reconceptualizing recovery not as normalization, but as the restoration of functional Resonance loops and the creation of environments that can accommodate structural diversity in judgement. (shrink)

Chapter: WHITE PRIVILEGE AND THE COLOR OF FEAR This chapter focuses on the role that power, innocence and ignorance play in maintaining the position of white privilege. There are times when white people use their privilege in ways that overtly attempt to put and keep people of color in their places, but more often white privilege is less obvious. White privilege does not stand out in white peoples’ behavior at all times. When white behavior is normalized, it is masked. At (...) these times, white privilege and power hide behind the masks of innocence and the masks of ignorance. White people can mask from themselves and others their location with relations to power. In the film, The Color of Fear, David C. hides his power. As he hides his power, he keeps his privilege invisible, that is, behind a mask. In this chapter, we focus on the masking and unmasking of innocence and ignorance to get a better look at how the process of normalization of these masks makes whiteness powerful and consequently hides white privilege. The logic of power and privilege is reflected in the following relationship: -/- innocence + ignorance = Invisibility (of White Privilege) -/- . (shrink)

The aim of the paper is to explore the discourse strategies of the Party of Labor of Albania to eliminate its enemies in the early years of establishing communism in the country. The contention is that PLA and its leaders made possible the elimination of thousands of people by normalizing the process. The enemies of the party were declared enemies of the people and as such, they had to disappear in one way or another, so that the integrity of the (...) body politics could be preserved. The class enemy was considered a parasite that should be eliminated in the name of social prophylaxis. By using discourse analyses the paper will investigate the discursive strategies followed by the communist party and its leader when addressing the class enemy. Speeches of Enver Hoxha in Party Congresses, Plenums, and gatherings with people will be analyzed. Only by normalizing the process of elimination of everyone who was depicted as an enemy, did the communist party make possible the elimination of thousands of people. Normalization is understood as the standardization of the procedure so that everyone knew in advance what would happen if someone had to be declared an enemy of the people. The paper will analyze the vocabulary used to portray the class enemy and his/her destiny in specific cases. The study has analyzed the speeches given to justify the elimination of Patër Anton Harapi, Lef Nosi, Maliq Bej Bushat, dom Lazër Shantoja, dom Ndre Zadeja, and the sabotage group of the Maliqi swamp. The analysis covers the period immediately after the end of the IIWW when communists seized the power. (shrink)

The essay describes some crucial moments in the intellectual biography of Ralf Dahrendorf and Jürgen Habermas, focusing on their frequent relationships in the first forty years. This research shows that, beyond the many divergences, what linked them in an enduring sodality was a radically democratic orientation that was consolidated in some epochal caesuras of German history: the advent of the Third Reich, the Second World War and the Anglo-American liberal “re-education”, the “normalization” of the Adenauer era, the crisis of democracy (...) and the protest of the “Sixty-eight”. (shrink)

The Universal Formula for Eliminating Government Corruption: A Natural Law-Based Approach -/- Introduction -/- Government corruption is one of the most persistent obstacles to societal progress, leading to economic decline, weakened institutions, and widespread inequality. Traditional anti-corruption measures—such as stricter laws, transparency initiatives, and public awareness campaigns—have failed to fully eliminate corruption because they do not address the problem at a systemic and scientific level. -/- By applying the universal formula, which is based on the universal law of balance in (...) nature, we can understand corruption as a systemic defect—a violation of natural equilibrium that causes inefficiency and societal suffering. This essay will provide a comprehensive scientific explanation of corruption, supported by research, and propose a complete solution that integrates education, institutional reforms, AGI-driven governance, cultural adaptation, and strategic implementation. -/- 1. The Science Behind Corruption: A Systemic Imbalance -/- A. Psychological and Biological Causes → Internal Homeostasis -/- Scientific research suggests that corruption is rooted in human psychology and biology, particularly in: -/- Evolutionary survival instincts – Studies indicate that self-preservation and resource hoarding behaviors evolved to ensure survival but can also lead to greed and corruption in modern societies. (Reference: Trivers, 1971 – Evolutionary theory of reciprocity) -/- Cognitive biases – Research in behavioral psychology shows that self-justification, moral disengagement, and in-group favoritism make individuals rationalize corrupt behavior. (Reference: Bandura, 1999 – Moral disengagement theory) -/- Neurological reward systems – Studies using fMRI scans reveal that bribery activates brain regions associated with pleasure, reinforcing corrupt behaviors. (Reference: Ariely & Loewenstein, 2006 – Neurological basis of unethical behavior) -/- Universal Formula Solution: -/- Educational reprogramming is needed to counteract these internal imbalances. -/- Schools should instill ethical reasoning, self-regulation, and critical thinking from an early age. -/- Leaders must be trained to recognize that corruption leads to long-term systemic instability, disrupting both individual and societal balance. -/- B. Economic Incentives and Systemic Defects → Structural Homeostasis -/- Economists have long observed that corruption is often a rational response to flawed systems where: -/- Low salaries and financial insecurity create incentives for bribery. (Reference: Becker & Stigler, 1974 – Economics of crime and punishment) -/- Weak regulatory oversight allows corruption to persist with minimal consequences. -/- Lack of transparency in financial systems enables embezzlement and fraud. -/- Universal Formula Solution: -/- The economic system must be free of defects—governments should: -/- Ensure fair wages for public officials to reduce bribery incentives. -/- Use blockchain-based transparency systems to track public spending. -/- Implement AI-driven financial audits to detect corruption in real time. -/- C. Political and Institutional Weakness → Governance Homeostasis -/- Corruption thrives when institutions fail to enforce accountability and transparency. -/- The Principal-Agent Problem: Public officials (agents) may act in their own interests rather than serving the public (principals). (Reference: Rose-Ackerman, 1978 – Corruption and governance theory) -/- Legal Loopholes: Weak anti-corruption laws allow elites to manipulate the system. -/- Lack of Whistleblower Protections: Fear of retaliation prevents corruption from being exposed. -/- Universal Formula Solution: -/- Governments must function like biological systems, with constant monitoring and correction mechanisms: -/- Real-time transparency tools (AI-driven monitoring of government transactions). -/- Independent anti-corruption agencies with full enforcement powers. -/- Legal frameworks based on the principle of natural balance, where punishments restore equilibrium rather than being arbitrary. -/- D. Cultural Normalization of Corruption → Collective Homeostasis -/- In some societies, corruption is seen as an accepted norm due to: -/- Patronage networks and nepotism embedded in political cultures. -/- Religious and social justifications for bribery (“gifts” given in exchange for favors). -/- Distrust in the justice system, leading to reliance on informal corruption-based solutions. -/- Universal Formula Solution: -/- A holistic education system must be implemented to reprogram societal attitudes toward corruption. -/- Schools should teach: -/- The universal law of balance and its ethical implications. -/- The cause-and-effect nature of corruption—how even small acts of dishonesty contribute to systemic collapse. -/- Critical thinking skills to challenge corrupt norms and misinformation. -/- 2. Case Studies: Applying the Universal Formula to Real-World Corruption -/- Case Study 1: Singapore’s Zero-Tolerance Approach -/- Singapore successfully reduced corruption by: -/- Increasing public sector salaries to remove bribery incentives. -/- Strict enforcement of anti-corruption laws, ensuring accountability. -/- Cultural reprogramming through education and public campaigns. -/- Universal Formula Connection: Singapore’s model aligns with systemic homeostasis, ensuring a balance between economic incentives, strong institutions, and ethical education. -/- Case Study 2: Scandinavian Countries – Transparency and Trust -/- Nordic countries (Denmark, Sweden, Norway) maintain low corruption levels through: -/- Public trust in institutions based on long-term systemic balance. -/- High transparency in government spending. -/- Strong legal frameworks with immediate corrective feedback mechanisms. -/- Universal Formula Connection: These countries maintain governance homeostasis, preventing corruption through self-correcting institutional designs. -/- 3. Implementing the Universal Formula to Eliminate Corruption -/- A. Education Reform: The Foundation of Ethical Governance -/- Integrate the universal law of balance into curricula from elementary to higher education. -/- Teach cause-and-effect relationships in governance (e.g., how small bribes lead to systemic collapse). -/- Develop leadership training programs that emphasize ethical decision-making based on natural balance. -/- B. Institutional Reforms: Creating a Self-Correcting System -/- Implement blockchain-based transparency systems for public finance. -/- Strengthen whistleblower protections to ensure safe reporting of corruption. -/- Decentralize power to reduce opportunities for monopolistic corruption. -/- C. AGI-Driven Ethical Governance -/- Artificial General Intelligence (AGI) can be programmed with the universal formula to: -/- Monitor government transactions and detect corruption patterns. -/- Ensure transparent decision-making based on systemic balance. -/- Remove human cognitive biases from governance. -/- D. Cultural Adaptation: Tailoring Solutions to Different Societies -/- In high-corruption societies, initial reforms should focus on education and small wins to shift cultural attitudes. -/- In developing countries, AGI-driven transparency tools can bypass weak institutions. -/- In democratic nations, citizen engagement should be emphasized to create self-regulating governance. -/- --- -/- 4. Addressing Challenges and Counterarguments -/- Objection: “Corruption is inevitable in human nature.” Response: Human nature includes both corruption and ethical reasoning—education determines which dominates. -/- Objection: “Elites will resist systemic reforms.” Response: AGI-driven transparency tools and mass education campaigns can reduce elite control. -/- Objection: “Implementing these changes is unrealistic.” Response: Small-scale pilots in cities or institutions can demonstrate success before national adoption. -/- --- -/- Conclusion: The Universal Formula as the Ultimate Solution to Corruption -/- Corruption is a systemic defect—a violation of the universal law of balance in nature. By applying scientific principles of homeostasis, cause and effect, and feedback regulation, we can create a corruption-free governance model. The universal formula offers the only complete solution, integrating education, institutional reform, AGI-driven oversight, and cultural adaptation. -/- If implemented, this model could lead to a world where governance functions as a perfectly balanced system—free of defects, ethical, and in harmony with natural law. -/- . (shrink)

The proposed system leverages Convolutional Neural Network (CNN) technologies to perform early lung cancer detection through the analysis of chest CT scan images. Designed as an AI-powered diagnostic aid, the system operates independently of human interpretation, enhancing speed and reliability in medical imaging evaluation. Built using Python-based technologies, the system utilizes TensorFlow and Keras frameworks for deep learning model development and training, supported by OpenCV for image pre-processing and visualization. The system processes CT scan slices to identify pulmonary nodules and (...) classifies them into benign or malignant categories using a trained CNN model. The detection pipeline includes grayscale normalization, image resizing, and segmentation procedures to enhance the visibility of lung tissues. The CNN model extracts spatial hierarchies of features through multiple convolutional and pooling layers, followed by fully connected layers for final classification. In cases where the system detects potential malignancy, it generates a detailed report including confidence scores, prediction labels, and scan timestamps. To maintain responsiveness and scalability, prediction requests are managed through concurrent processing threads, ensuring timely feedback even when multiple scans are evaluated in sequence. An alert throttling mechanism ensures the reduction of false positives by incorporating prediction stability checks over multiple frames or scans. (shrink)

This article explores the various ethical and legal limitations faced by researchers studying extreme or ‘ shock’ pornographies, beginning with generic and disciplinary contexts, and focusing specifically upon the assumption that textual analysis unproblematically justifies certain pornographies, while legal contexts utilize a prohibitive gaze. Are our academic freedoms of speech endangered by legislations that restrict our access to non-mainstream images, forcing them further into taboo locales? If so, is the ideological normalization of sexuality inextricable from our research methodologies? Simultaneously, can (...) we justify researchers being allowed access to materials that are not deemed suitable for general consumption, which may further bolster normalized hierarchies of class-privilege and cultural capital? (shrink)

This research paper presents an in-depth analysis of advanced artificial intelligence (AI) algorithms designed to automate data preprocessing in the healthcare sector. The automation of data preprocessing is crucial due to the overwhelming volume, diversity, and complexity of healthcare data, which includes medical records, diagnostic imaging, sensor data from medical devices, genomic data, and other heterogeneous sources. These datasets often exhibit various inconsistencies such as missing values, noise, outliers, and redundant or irrelevant information that necessitate extensive preprocessing before being analyzed (...) by machine learning or statistical models. Traditional data preprocessing methods, which are largely manual and time-consuming, can result in errors that affect the quality of the data and, subsequently, the performance of predictive and diagnostic models. Thus, there is a growing need for intelligent, automated systems that can enhance data quality, streamline the preprocessing pipeline, and reduce the time and effort required by healthcare professionals and data scientists. The study begins by outlining the specific challenges associated with healthcare data, including its high dimensionality, incompleteness, and variability across different data sources and formats. These issues not only complicate the preprocessing stage but also hinder the ability to develop robust models capable of making accurate predictions or diagnoses. The paper then explores how AI algorithms—particularly those based on machine learning (ML), deep learning (DL), and reinforcement learning (RL)—can automate key data preprocessing tasks such as data cleaning, feature selection, normalization, and transformation. These algorithms are designed to identify patterns in data, detect anomalies, and automatically apply corrections or transformations based on predefined rules or learned behaviors, thereby minimizing human intervention. The paper also delves into specific AI techniques that have been successfully applied to healthcare data preprocessing. For instance, supervised learning models, such as decision trees and support vector machines (SVMs), have been utilized to perform imputation of missing data by predicting the most likely values based on the available information. Similarly, unsupervised learning methods, such as clustering algorithms, have been employed to group similar data points and remove outliers that could distort the performance of analytical models. Moreover, deep learning techniques, particularly autoencoders and generative adversarial networks (GANs), have demonstrated remarkable effectiveness in transforming high-dimensional medical data into lower-dimensional representations, enabling more efficient and accurate model training. In addition to the discussion of these algorithms, the paper emphasizes the role of natural language processing (NLP) in automating the preprocessing of unstructured healthcare data, such as clinical notes and diagnostic reports. NLP techniques, including named entity recognition (NER) and word embeddings, are instrumental in extracting relevant information from unstructured text, standardizing terminologies, and converting textual data into structured formats suitable for downstream analysis. Furthermore, AI-based feature selection algorithms are explored, which aim to identify the most relevant features in the dataset, thereby reducing its dimensionality and improving the computational efficiency of predictive models. The study goes on to highlight the significant reduction in processing time achieved by AIdriven automation of preprocessing tasks. In conventional settings, data preprocessing accounts for a substantial portion of the time spent on building healthcare models, often requiring expert intervention to manually inspect and clean the data. By employing AI algorithms, not only can this process be expedited, but the accuracy of the resulting data is also enhanced, which translates into better model performance. The paper provides a detailed comparative analysis of manual preprocessing methods versus automated AI-driven approaches, demonstrating the substantial time savings and improvements in data quality brought about by automation. (shrink)