Found 4 results
Open Access
Article
29 September 2025Multivariant Time-Series Forecasting Methodology for Product Demand Using Deep Learning and Large Language Models
Accurate demand Soothsaying is a crucial element in force chain operation and business planning. Traditional statistical ways don’t consider the nonlinear, dynamic, and interdependent nature of variables that drive product demand, including deal history, prices, seasonality, elevations, request changes, and profitable pointers. This design presents a sophisticated soothsaying frame for guidance from an artificial intelligence system, integrating soothsaying using deep literacy models together with large language models(LLMs), that can negotiate both accurate soothsaying and give practicable intelligence. The deep literacy infrastructures used in this study include Long Short Term Memory(LSTM), Reopened intermittent Units(GRU), and other Motor models for timeseries soothsaying, which optimize temporal dependences and the complex cross-variable relations. To further increase interpretability of the vaticinations, LLMs are useful agents to convert the specialized cast affair into a completely automated and enhanced mortal-readable textbook and reports to develop intelligence for decision timber. Prophetic modeling and naturally generated reporting lead to better delicacy and practicable intelligence for their businesses. This intelligence empowers businesses to create better procurement processes, improve inventory management, and develop more resilient supply chains relevant to today’s business environment.
Open Access
Article
23 June 2025A Structured Framework for Formalized and Quantitative Handwriting Examination
The demand for a formalized and transparent approach to handwriting assessment has long been recognized within forensic and legal contexts. A structured methodology not only reduces interpretative subjectivity but also enables quantifiable measurement and ensures greater consistency in evaluations. This article presents a practical framework that models the degree of similarity between handwriting samples—texts and signatures—through a two-stage process: feature-based evaluation and congruence analysis. Both stages produce quantitative markers that are integrated into a unified similarity score, forming the foundation for more complex comparisons involving multiple questions and known texts. The proposed procedure, which is the major result of the paper, is not merely theoretical; it has been applied in real forensic casework, yielding preliminary statistical outcomes. In particular, it demonstrates the discriminative power of different handwriting features. The paper also discusses future directions for development, with a focus on the integration of artificial intelligence (AI) to enhance specific components of the assessment process.
Open Access
Article
19 May 2025Quorum Sensing Systems Engineering for Enhanced iso-Butylamine Production in Escherichia coli
Quorum sensing (QS), characterized by pathway-independence and autonomous control, has been applied in bio-manufacturing, while the lack of versatile and functional regulatory components limits its broader applications. To address this issue, a series of efficient QS systems with diverse properties were established in Escherichia coli. Firstly, combinatorial optimization, including element selection and promoter replacement, led to an improvement of 8.82- and 3.03-fold in output range and response threshold, respectively. Then, a library of LuxR mutants was constructed for screening novel variants with decreased sensitivity to acyl-homoserine lactone through the high-throughput screening technique. Notably, the optimal variant V36E/H89L/P97L exhibited a decrease of 266-fold in the sensitivity. As a proof-of-concept, iso-butylamine biosynthesis was tested by re-directing pyruvate catabolism using QS circuits, and in particular, a total of 15.4 g/L iso-butylamine was generated in strain IB21 during the fed-batch culture, marking a 2.96-fold increase over the static control. Finally, the generated bioproduct reached 44.23 g/L in a bioreactor, representing the highest reported titer so far. In summary, this study not only enriches the genetic toolbox of QS systems, but also facilitates industrial applications in value-added chemical production.
Open Access
Article
22 May 2023Private Property and Public Commons: Narrowing the Gap
Private property and public commons each represent strongly felt concepts of society but in very different ways. While the protection of private property is at the heart of the capitalist system and deeply embedded in our laws, the protection of the public commons is a mere subset of government policies and often lacks firm regulations. Critically, natural commons such as air, water, biodiversity, and a habitable earth, are hardly protected at all. Environmental laws regulate use and protection of natural “resources” in a strict instrumental fashion, ignoring the intrinsic value of Nature and take Earth’s ecological systems for granted. This article traces the “hidden logic” of environmental law and explores some of the history of property and the commons in the European context. It then shows the fundamental importance of ecological integrity for all efforts towards sustainable societies. The overall thesis is that property and commons must be based on ecological sustainability as a fundamental norm of law.
