Odemir Bruno

Abstract This study demonstrates that high-frequency ultrasound (3–20 MHz) can effectively disrupt the structural integrity of both Influenza A virus (H1N1) and SARS-CoV-2 through a resonance-driven mechanism distinct from classical cavitation (kHz range). Under these conditions, viral particles undergo pronounced alterations (fragmentation, envelope rupture, and loss of morphological uniformity) consistent with direct mechanical destabilization rather than thermal or bubble-mediated effects.

1. Introduction Click to copy section linkSection link copied! Recent developments in natural language processing (NLP) with large language models (1−3) can be seen as evidence that the fifth paradigm of knowledge generation─machine-generated knowledge (4,5) is approaching. Under this paradigm, machines are expected to be capable of raising research hypotheses, devising and implementing research projects, and ultimately producing scientific papers reporting original results autonomously.

3.1. AI Writer: Input from User-Selected Papers We conducted three experiments using this strategy: (i) input given by five published review papers on the topic; (ii) input given by 21 papers that included the five reviews from the previous experiment; and (iii) input given by 20 papers, (27−46) which are the same from the previous experiment, but excluding one review paper that appeared to dominate the content of one generated version.