An empirical conversion method (ECM) that transforms p values of arbitrary organic compounds from one solvent to the other is introduced. We demonstrate the method's usefulness and performance on p conversions involving water and organic solvents acetonitrile (MeCN), dimethyl sulfoxide (MeSO), and methanol (MeOH). We focus on the p conversion from the known reference value in water to the other three organic solvents, although such a conversion can also be performed between any pair of the considered solvents. The ECM works with an additive parameter that is specific to a solvent and a molecular family (essentially characterized by a functional group that is titrated). We formally show that the method can be formulated with a single additive parameter, and that the extra multiplicative parameter used in other works is not required. The values of the additive parameter are determined from known p data, and their interpretation is provided on the basis of physicochemical concepts. The data set of known p values is augmented with p values computed with the recently introduced electrostatic transform method, whose validity is demonstrated. For a validation of our method, we consider p conversions for two data sets of titratable compounds. The first data set involves 81 relatively small molecules belonging to 19 different molecular families, with the p data available in all four considered solvents. The second data set involves 76 titratable molecules from 5 additional molecular families. These molecules are typically larger, and their experimental p values are available only in MeSO and water. The validation tests show that the agreement between the experimental p data and the ECM predictions is generally good, with absolute errors often on the order of 0.5 pH units. The presence of a few outliers is rationalized, and observed trends with respect to molecular families are discussed.
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http://dx.doi.org/10.1021/acsomega.7b01895 | DOI Listing |
Neurotox Res
January 2025
Programa de Pós-Graduação em Ciências Biológicas: Bioquímica, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.
Resveratrol, a natural polyphenol, has shown promising neuroprotective effects in several in vivo and in vitro experimental models. However, the mechanisms by which resveratrol mediates these effects are not fully understood. Glutamate is the major excitatory neurotransmitter in the brain; however, excessive extracellular glutamate levels can affect neural activity in several neurological diseases.
View Article and Find Full Text PDFOcul Immunol Inflamm
January 2025
Department of Ophthalmology,University of Health Sciences, Ulucanlar Eye Training and Research Hospital, Ankara, Turkey.
Purpose: To evaluate the efficacy and safety of weekly adalimumab (ADA) treatment in non-infectious uveitis (NIU) patients, including both pediatric and adult populations, and identify factors influencing treatment efficacy.
Methods: A retrospective cohort study at two hospitals in Türkiye included 51 NIU patients (29 children, 22 adults) who escalated from bi-weekly to weekly ADA due to inadequate disease control. Data on six clinical parameters (anterior chamber reaction, vitreous haze, visual acuity, central macular thickness [CMT], prednisone use, uveitis flare-up frequency), adverse effects, and treatment-related factors were collected.
Water Res X
May 2025
Institute for Artificial Intelligence R&D of Serbia, Fruškogorska 1, Novi Sad 21000, Serbia.
This study evaluates three Machine Learning (ML) models-Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)-focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets to train the models, and apply SHapley Additive exPlanations (SHAP) to enhance the interpretability and reliability of the ML models. The results show that TKAN outperforms LSTM but slightly lags behind TCN in streamflow forecasting.
View Article and Find Full Text PDFIEEE Trans Instrum Meas
May 2024
School of Mechanical Engineering, Shandong University, Jinan 250061, Shandong, China.
Automatic retinal layer segmentation with medical images, such as optical coherence tomography (OCT) images, serves as an important tool for diagnosing ophthalmic diseases. However, it is challenging to achieve accurate segmentation due to low contrast and blood flow noises presented in the images. In addition, the algorithm should be light-weight to be deployed for practical clinical applications.
View Article and Find Full Text PDFJ Pain Res
January 2025
Department of Pain Management Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Objective: Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of chemotherapy and it is currently intractable We compared the efficacy of transcutaneous electrical acupoint stimulation (TEAS) against non-TEAS groups and investigated the variables that predict effective relief of upper extremity pain in cancer survivors with CIPN.
Methods: We retrospectively collected data of cancer survivors who developed CIPN between May 2017 to March 2022. All eligible CIPN patients were divided into TEAS group (received TEAS) and non-TEAS group (did not receive TEAS) in our department.
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