RESUMO
To improve the efficiency of pathological diagnoses, the development of automatic pathological diagnostic systems using artificial intelligence (AI) is progressing; however, problems include the low interpretability of AI technology and the need for large amounts of data. We herein report the usefulness of a general-purpose method that combines a hyperspectral camera with machine learning. As a result of analyzing bile duct biopsy and bile cytology specimens, which are especially difficult to determine as benign or malignant, using multiple machine learning models, both were able to identify benign or malignant cells with an accuracy rate of more than 80% (93.3% for bile duct biopsy specimens and 83.2% for bile cytology specimens). This method has the potential to contribute to the diagnosis and treatment of bile duct cancer and is expected to be widely applied and utilized in general pathological diagnoses.
RESUMO
Superabsorbent polymers (SAPs) are hydrophilic, polymeric network materials renowned for their ability to enhance various properties of cementitious materials. This investigation examines the impact of SAP size on the hydration degree, porosity, and compressive strength of cement pastes and concrete under diverse curing conditions and ageing periods. The findings reveal that SAP addition stimulates the hydration of the C2S phase, particularly during the early curing stages, thereby favouring early strength development. However, the effect of SAPs on hydration promotion diminishes as their size increases. Conversely, the size of SAPs affects the hydration range of their action, and the 400 µm SAP demonstrates the most extensive range of hydration enhancement, reaching up to 105 µm. Additionally, SAPs effectively reduce porosity in small pores (4 nm-10 µm), with 200 µm and 400 µm SAPs exhibiting the highest efficacy. While analysing the effects of SAPs on larger pores (>10 µm), the results show that although larger SAPs result in larger average porosity, the total porosity is effectively reduced, particularly in samples incorporating 400 µm SAP. The compressive strength of cement paste, even after 28 days, is slightly reduced following the introduction of SAPs. However, the strength of concrete, due to the naturally occurring pores eliminating the negative effects of the pores produced by SAPs, is significantly increased following the introduction of SAPs, especially 400 µm SAP.
RESUMO
Changes in the levels of amino-acid enantiomers are associated with some serious diseases; consequently, amino acid monitoring in peripheral blood can be used to diagnose and predict the onset of disease. Herein, we report the design and synthesis of a new chiral derivatization reagent, namely succinimidyl (4S)-(3-[(benzyloxy)carbonyl]-5-oxo-1,3-oxazolidin-4-yl)acetate ((S)-COXA-OSu), for the separation of dl-amino-acid enantiomers. The usefulness of (S)-COXA-OSu was examined as a derivatization reagent for LC-MS/MS following certification of its total optical purity (>99%). The enantiomeric separations of amino-acid derivatives tagged with the reagent were examined using a triazole-bonded phase. (S)-COXA-OSu enabled the simultaneous enantiomeric separation of more than 40 α-amino acids. (S)-COXA-amino-acid derivatives were efficiently converted into their product ions, from which formaldehyde (CH2O) was eliminated [M-30] from the oxazolidinone moiety of COXA by collision-induced dissociation during LC-MS/MS. Limits of detection were in the 0.0138-0.518 pmol/injection range. For precise and accurate quantitation, we synthesized and used a stable-isotope-labeled (S)-COXA-OSu that was used as an internal standard in LC-MS/MS-determination experiments. Finally, changes in plasma amino-acid levels in rats, following administration of S-methyl-l-cysteine, an alanine-serine-cysteine transporter-1 (Asc-1) inhibitor, were successfully detected by LC-MS/MS using (S)-COXA-OSu.