Publications by authors named "M M Taddei"
Antisolvent treatment is used in the fabrication of perovskite films to control grain growth during spin coating. We study widely incorporated aromatic hydrocarbons and aprotic ethers, discussing the origin of their performance differences in 2D/3D Sn perovskite (PEAFASnI) solar cells. Among the antisolvents that we screen, diisopropyl ether yields the highest power conversion efficiency in solar cells.
View Article and Find Full Text PDFCancer cachexia is a multifactorial syndrome characterized by a progressive loss of body weight occurring in about 80% of cancer patients, frequently representing the leading cause of death. Dietary intervention is emerging as a promising therapeutic strategy to counteract cancer-induced wasting. Serine is the second most-consumed amino acid (AA) by cancer cells and has emerged to be strictly necessary to preserve skeletal muscle structure and functionality.
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- 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.
Article Synopsis
- Research Focus
- : The study investigates how fatty acid metabolism impacts stem-like characteristics in intrahepatic cholangiocarcinoma (iCCA), a serious type of liver cancer.
- Key Findings
- : Cancer cells with stem-like features (SPH) have higher levels of free fatty acids and lipid synthesis enzymes compared to regular cells. Inhibition of fatty acid synthase (FASN) reduces these stem characteristics and tumor growth in lab models.
- Clinical Implications
- : Targeting fatty acid metabolism could provide new strategies for treating iCCA, potentially improving patient survival and slowing disease progression.
The introduction of aliphatic amine groups in metal-organic frameworks (MOFs) can improve their ability to capture CO at low pressures, driven by chemisorptive formation of C-N bonds. Understanding the chemistry of amine-CO interaction within the confined porous space in MOFs is key to design and develop effective CO adsorbents. Here, we report a computational study of CO adsorption and subsequent formation of carbamic acid within defective UiO-66 functionalised with a series of four amino acids of varying aliphatic chain length (glycine, beta-alanine, gamma-aminobutyric acid and 5-aminovaleric acid).
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