Crayfish optimization based pixel selection using block scrambling based encryption for secure cloud computing environment.

Cloud Computing (CC) is a fast emerging field that enables consumers to access network resources on-demand. However, ensuring a high level of security in CC environments remains a significant challenge. Traditional encryption algorithms are often inadequate in protecting confidential data, especially digital images, from complex cyberattacks.

Navigating the nano-world future: Harnessing cellulose nanocrystals from green sources for sustainable innovation.

Cellulose nanocrystals (CNCs) are a class of materials that have received significant attention in recent years due to their unique properties and potential applications. CNCs are extracted from plant fibers and possess high strength, stiffness, and biocompatibility, making them attractive materials for use in various fields such as biomedical engineering, renewable energy, and nanotechnology. This provides an in-depth discussion of the extraction, characterization, and promising applications of CNCs.

Toward expert-level medical question answering with large language models.

Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score in United States Medical Licensing Examination style questions. However, challenges remain in long-form medical question answering and handling real-world workflows. Here, we present Med-PaLM 2, which bridges these gaps with a combination of base LLM improvements, medical domain fine-tuning and new strategies for improving reasoning and grounding through ensemble refinement and chain of retrieval.

Retraction: Activation of Nuclear Factor Kappa B (NF-kB) Signaling Pathway Through Exercise-Induced Simulated Dopamine Against Colon Cancer Cell Lines.

[This retracts the article DOI: 10.7759/cureus.46624.