The Journal of Inglomayor is an open, community-oriented venue committed to the free dissemination of knowledge. It is published with no charges to readers, and it is sustained by the conviction that rigorous, well-curated scholarship should remain accessible to all who wish to learn, teach, innovate, and serve society.
Volume 27 brings together contributions spanning mathematical analysis, numerical methods, geometrical modeling, data fitting, interdisciplinary reviews in health sciences, and strategic perspectives on natural resources and mining. This breadth reflects our editorial philosophy: to welcome work that is technically sound, conceptually clear, and relevant to real-world challenges—particularly those at the intersection of science, engineering, and societal development.
In this volume, readers will find studies that examine foundational numerical algorithms and their comparative behavior; practical modeling approaches for engineering geometries; and methodological notes that support reproducible computation. Complementing these contributions, a mathematical study addresses convergence properties in infinite series, offering a rigorous lens on classical analysis. The volume also includes an integrated review on determinants of precocious puberty, illustrating how environmental, nutritional, psychosocial, and neuroendocrine factors can be analyzed jointly within an interdisciplinary framework.
From the perspective of the productive sector and public interest, Volume 27 features work that discusses the evaluation of mineral resources and the economic relevance of mining, as well as a reflective contribution on scientific publishing in the sciences and humanities—with special attention to the context of large-scale mining in Chile. In addition, the volume includes a report addressing public policies, salt flats, and lithium extraction technologies, with an emphasis on the energy transition in South America—an area where scientific, technological, environmental, and social considerations must be treated as a single, integrated agenda.
We also recognize the vital role of educational materials in enabling durable scientific progress. Accordingly, the volume lists textbook-style lecture notes and teaching resources that support training in fluid mechanics, solid-state concepts, general chemistry, and mining history. We regard these contributions as part of the journal’s mission: to strengthen learning pathways and to bridge research with education.
Looking ahead, the Journal of Inglomayor will increasingly curate state-of-the-art perspectives on advanced artificial intelligence. Planned thematic directions include next-generation deep learning, specialized transformer architectures, symbolic AI and hybrid neuro-symbolic systems, autonomous machine learning (next-generation AutoML), advanced reinforcement learning, AI for science and technology (AI4Science), self-supervised and semi-supervised learning, causal AI, quantum computing and quantum machine learning, and advanced explainable AI (XAI). These topics will be developed in future volumes with contributions from leading national and international experts.
We invite researchers, educators, and practitioners to contribute to upcoming issues. Submissions are evaluated with an emphasis on clarity, methodological rigor, reproducibility when applicable, and meaningful relevance. In maintaining an open-access, no-fee model, we reaffirm our guiding principle: knowledge grows when it is shared—carefully, responsibly, and without barriers.