Available Online: 01 Sep 2025
Rewiring Education for a Super-Smart Society: Cognitive Integrity, AI Ethics, and the Future of Knowledge
Volume 2

Available Online: 01 Sep 2025
Volume 2
Published: 27 Jun 2025
Volume 2
Limited information is currently available regarding the contraction mechanism of the Hcp-1 hemolysin-coregulated protein within the type VI secretion system (T6SS) of Acinetobacter baumannii, particularly about the secretion of toxic effectors. This research aimed to evaluate the mechanism underlying the contraction of the Hcp1 nanotube in response to the putative toxic effector TagX protein by employing bioinformatics tools and the artificial intelligence (AI) DeepMind system. To achieve this goal, the..
Published: 12 May 2025
Volume 2
The field of Artificial Intelligence (AI) is progressively transforming various advanced engineering disciplines, including mechanical, civil, electrical, aerospace, environmental, and biomedical engineering, through improved design, manufacturing, maintenance, and optimization methodologies. Yet, the disjointed and specialized state of the art too frequently prevents the cross-disciplinary application of AI solutions due to disparate performance measures, which result in reduced knowledge transfer and exaggerated performance in segregated domains. This study overcomes these issues..
Published: 28 Feb 2025
Volume 2
This manuscript examines advancements in antigen-specific immunosuppression, as well as the potential and challenges of applying gene-editing technologies to autoimmune diseases driven by autoantibodies (AAbs). Current approved treatments fail to reach long-lived plasma cells (LLPCs), which may continue secreting pathogenic AAbs after immunobiological courses in some autoimmune illnesses. New approaches, some tested in vitro and some already undergoing clinical trials, such as the chimeric autoantibody receptor (CAAR)-T cells, BiTEs, affinity..
Published: 07 Feb 2025
Volume 2
Modern electrical systems rely on sensors and relays for fault detection in three-phase transmission lines and distribution transformers, but these devices often face time complexity issues and false alarms. In this study, the fault detection accuracy is compared in models studied in 2023 and 2024 following PRISMA guidelines. The objectives were to identify fault types, utilize machine learning models to assess their predictive efficacy, and establish accuracy levels. To explore..
Published: 29 Jul 2024
Volume 1
This paper presents a smart diagnostic framework for dental smile analysis. To accurately and efficiently identify esthetic issues from a single image of a smile, a convolutional neural network (CNN) was trained. To overcome the limitations of scarce data, a diffusion model was employed to generate dental smile images in addition to manually curated data. The CNN was trained and evaluated on three datasets: all real images, all generated images,..