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Transforming Business with Artificial Intelligence: Gender Dynamics and Future Employment Opportunities
No full textAbstract: The application of Artificial Intelligence (AI) in the contemporary world has changed the dynamics of how businesses are run in the digital age by bringing new opportunities and, at the same time, disrupting the established methods. This study is aimed at evaluating the perception of the students on whether the use of AI is transforming how businesses are conducted in the digital era. The questionnaire was used to collect data and consisted of 219 respondents in seven universities in Albania and Kosovo and was analyzed using linear regression. The results indicate that factors such as gender structure and concerns about privacy and security of personal data related to the use of AI do not have a statistically significant impact on business transformation. On the other hand, the use of AI is identified as a factor with a significant impact on creating new employment opportunities, while AI's role in deepening social and economic inequalities has a statistically significant effect on business transformation. Based on a new and original mentality, the research is a new and original interpretation of the dynamics of AI application in changing the business management processes
From Sensible Intuition to the Problem of the “I”: Can Artificial Intelligence Think?
No full textThe debate between formalism and intuitionism has often been understood as a quarrel internal to the philosophy of mathematics. Such a reading underestimates its scope. Through Hilbert, Brouwer, and Gödel, what is really at issue is a more general question: what is an intelligible content, and under what conditions does a symbolic procedure become knowledge rather than a mere manipulation of signs? This article argues that Gödel’s incompleteness theorems should not be understood merely as a technical limitation of formal systems. They bring to light a structure of thought that exceeds calculation, not because it stands outside it, but because it presupposes the articulation of three irreducible moments: a moment of intuitive and schematic grasp, a moment of critical reworking, and a moment of communicable formalization. Formalization is indispensable, yet it is not sufficient to generate meaning, account for discovery, or secure reference.
If formalization is not enough to produce meaning, illuminate discovery, and ground reference, then scientific discovery must be understood as a synthetic reconfiguration rather than as a simple sequential chain, the effectivity of a theory must be distinguished from the truth it aims at, and the question of artificial intelligence must be reconsidered on new bases. What artificial systems still lack is not combinatorial complexity, but the concrete inscription of their statements within an experience of the world and the reflexivity that allows a subject to relate to its own operations as to something that concerns it. Thought thus appears as a circulation across several levels of meaning, not as the mere execution of rules within a closed universe.
Keywords: Gödel, Hilbert, Brouwer, Kant, Popper, Turing, schematism, scientific discovery, meaning, artificial intelligence, reflexivity, effectivity
Algebraic Derivation of the Gravitational Coupling Constant from M3(C) Structure
No full textThe gravitational hierarchy problem—why gravity is ~10^45 times weaker than electromagnetism at the electron mass scale—has resisted parameter-free resolution despite decades of effort in supersymmetry, extra-dimension models, and warped geometry frameworks. All existing approaches introduce new degrees of freedom or symmetry principles without deriving the gravitational coupling constant alpha_G = G m_e^2 / (hbar c) from first principles.
This paper derives alpha_G solely from the Tier-1 axioms of Cognitional Mechanics (CM) and the algebraic structure of M_3(C), the minimal noncommutative finite-dimensional C*-algebra. The principal result is alpha_G = alpha^(n(2n+1)) * sqrt(n(n+1)/(2n+1)) with n=3, yielding alpha_G^(CM) = 1.75192 x 10^-45. All factors—the exponent 21, numerator 12, and denominator 7—emerge purely from the dimension parameter n; no empirical fitting is performed.
The zeroth-order residual against CODATA 2022 is 6.1 x 10^-5, within the 5.5 x 10^-4 experimental scatter band of independent G measurements. The leading correction C_3^G = -(delta^2 - delta/(2*sqrt(n))) * alpha^2, derived from Tier-1 constants delta^2 = n/2 and n alone, reduces the residual to 5.5 x 10^-8, well below current experimental resolution. This establishes alpha_G as a Tier-1 structural invariant of M_3(C) and provides an algebraic resolution to the gravitational hierarchy problem. The CM-implied value G_implied = 6.67471 x 10^-11 m^3 kg^-1 s^-2 serves as a theoretical convergence point for future precision G metrology
The Paton System Structural Architecture Diagram
No full textThis document presents the canonical structural architecture diagram of the Paton System. The Paton System is a pre-theoretical framework that determines when systems are structurally permitted to exist and persist before domain-specific dynamics are applied. The architecture is organised as a nine-tier hierarchy describing the progression from undivided availability through structural distinction, constrained formation, admissibility, observation, recursive continuation, structural law formation, domain instantiation, and global boundary conditions. The diagram provides a unified structural overview of the framework and functions as the primary visual reference for the Paton System
Upaya Menafsir Dunia Yang-Lain
No full text"Interpreting the Otherworld."
Animals are alienated from humans and deprived of their most fundamental rights, specifically the right and/or ability to have their own world. Marchesini describes this situation as a form of animal desubjectification, in which signs of animal subjectivity are dismissed to preserve the noble dignity of humans as res cogitans—the only beings considered worthy of being called thinking and conscious
Review of BLS Employment Projection Methodologies: Foundations, Current Practices, and Opportunities for Enhancement
No full textIn today’s digital world, a large number of images are generated every day from different sources such as cameras, surveillance systems, and monitoring applications. Processing these images one by one is a slow and inefficient task, especially when the dataset size is large. This creates a need for an automated system that can handle multiple images together with minimum manual effort. This project focuses on the development of a smart web application for automated bulk image processing. The system allows users to upload a compressed file containing multiple images, which are
then automatically extracted and processed through a predefined workflow. Basic image preprocessing techniques are applied to improve image quality and prepare the images for further analysis. To demonstrate the practical use of the system, vehicle number plate detection and recognition is considered as a key use case. The application detects number plate regions from vehicle images and extracts the alphanumeric characters using optical character recognition techniques. The extracted results are displayed through a simple and user-friendly web interface. The proposed system helps in reducing processing time, manual work, and human errors while handling large image datasets. It provides an efficient and flexible solution that can be extended to other image processing applications where bulk image handling is required
Structural Invariance Theorem: A Tier-6 Formalisation within the Paton System
No full textThis paper formalises the Structural Invariance Theorem within the Paton System. Building on cross-domain instantiations across financial systems artificial intelligence systems and healthcare systems it establishes that any admissible system must follow a common lifecycle defined by admissibility datum stabilisation recursive continuation constraint drift and boundary closure. The theorem demonstrates that this lifecycle is a necessary structural condition of system existence rather than an empirical observation
評価安定による対象生成：調和的可能性からの生成構造
No full text本稿は、対象を理論の出発点とする従来の枠組みを再検討し、生成構造から対象生成を導出する理論を提示する。哲学および意味論では通常、理論の順序は
Object → Identity → Difference → Evaluation
として理解される。しかし生成過程を分析すると、同一結果に複数の生成経路が対応し、それらに異なる応答が与えられる場合、応答写像は結果集合上の写像へ降下せず、結果のみから単一決定を定義することができない。本稿はこの状態を調和的可能性として定式化する。
この降下不能性のもとでは、結果に対する決定は応答集合に対する評価構造として定義される必要がある。本稿は評価構造を分析し、評価原理が一般には一意ではなく調和度関数の族として与えられることを示す。さらに評価が入力記述の精密化に対して安定する場合、評価安定が同一の同値関係を誘導し、その同値類として対象が一意に定まることを示す。
以上により本稿は、評価多重性と対象一意性が両立する生成構造を提示し、対象を評価安定構造として再定式化する理論を与える
The Tier-2 → Tier-3 Transition: From Formation to Admissibility in the Paton System
No full textThe Paton System describes a structural architecture through which distinguishable systems emerge, interact under constraints, and persist only when admissibility conditions are satisfied. While Tier-2 explains the formation of distinguishable configurations through constrained interaction, not all formed configurations are capable of persistence. A structural transition must therefore occur between formation and admissibility.
This paper defines the Tier-2 → Tier-3 transition as the phase in which candidate structures emerging from constrained flow are evaluated for structural viability. The transition marks the movement from formation dynamics to the admissibility gate defined by the Boundary–Relation–Persistence framework. This structural step explains how only a subset of formed configurations becomes capable of persistence and therefore eligible for observation within the Tier-4 datum interface