20251MBI004

This project uses a control of healthy samples of total RNA PBMCs in a different gene study GSE85599 to get top genes in the hodgkins and diffuse large b-cell lymphomas. The 4 class random forest classifier upon training a set of top genes by fold change value predicted with much better accuracy than previously using this set of healthy samples as a baseline. 100% accuracy on duplicated genes in common to all lymphomas except the pDLBCL class with only 50% but the unique genes of those 3 lymphoma foldchange values top genes scored worse with 70-80% accuracy on CHL and mDLBCL with 100% accuracy on healthy and 25% accuracy on pDLBCL. More to add.

Digital preservation theory has long addressed technological obsolescence, repository trust, metadata, authenticity, and long-term access, but it has less fully accounted for adversarial disruption as a preservation problem. Libraries and cultural heritage institutions now depend on networked, platform-mediated, and data-intensive infrastructures whose compromise can affect not only system availability but also provenance, confidentiality, interpretability, and public trust. This article develops the concept of **cybersecurity as preservation** through an abductive qualitative document analysis of 44 public governance documents and incident materials from libraries, archives, cultural heritage organizations, and professional bodies. The study examines how digital preservation, cybersecurity, disaster continuity, AI governance, and privacy are represented across public documents, and how genre-based policy fragmentation constrains the conceptualization of cyber incidents as preservation failures. The article contributes to information science by theorizing cybersecurity not as technical hardening adjacent to preservation, but as a preservation practice when it protects the sociotechnical conditions of trustworthy information stewardship.

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Localidades del estado de Mexico