Publications by authors named "K L Schmidt"
Unlabelled: Serotonin plays a central role in mood regulation and the development of depressive disorders. The serotonin transporter, the primary regulator of serotonin levels, presents genetic variants that affect its functionality.
Aim: To study whether functional bi-allelic 5-HTTLPR or tri-allelic 5-HTTLPR/rs25531 polymorphisms in the serotonin transporter gene are associated with the diagnosis of depression.
Unlabelled: Neuraminidase (NA)-specific antibodies contribute to immunity against influenza. While studies have demonstrated increased NA inhibiting (NAI) antibody titers after vaccination with egg-derived inactivated influenza vaccines (eIIV), the response to cell culture-derived (c) IIV has not been reported.
Methods: An immunogenicity sub-study was performed within a clinical trial comparing the effectiveness of egg, cell, and recombinant hemagglutinin (HA)-derived influenza vaccines during the 2018-2019 and 2019-2020 influenza seasons.
Across all animal species, exposure to stressful conditions induces stress responses. One method to study the effects of stress using rodent models is the restraint stress procedure. Restraint stress has been used for decades to investigate changes in physiology, genetics, neurobiology, immunology, and other systems impacted by stress.
View Article and Find Full Text PDFThe aim of this study was to investigate changes in P3 amplitude and latency to emotional stimuli with different arousal and valence levels after a mindfulness-based intervention in oncological patients. P3 amplitude and latency at Fz, Cz, and Pz to emotional salient stimuli differing in valence (positive vs. negative) and arousal (low vs.
View Article and Find Full Text PDFArticle Synopsis
- Large language models (LLMs) like GPT-J-6B, Llama-3.1-8B, and Mistral-7B can learn chemical properties effectively through fine-tuning without specialized features.
- Fine-tuning these models often outperforms traditional machine learning methods in simple classification tasks, with potential success in more complex problems depending on dataset size and question type.
- The ease of converting datasets for LLM training and the effectiveness of small datasets in generating predictive models suggest that LLMs could significantly streamline experimental processes in chemical research.