Environ Sci Pollut Res Int
January 2025
Biocides, applied in building materials as antimicrobial protectants, can be leached out by rain, presenting substantial environmental risks as confirmed by studies on aquatic environments. However, these biocides are consistently released throughout the year in a diluted form, posing unique challenges for the prediction of transport, transformation, and ecotoxicity assessment in soil. To address this challenge, we combined COMLEAM, which predicts leaching from facades into the soil, with the FOCUS PELMO pesticide model to predict biocide distribution in soil.
View Article and Find Full Text PDFMitochondrial DNA B Resour
January 2025
Biting midges ( spp.) are important vectors of several insect borne arboviruses but are underrepresented in terms of availability of high-resolution genomic resources. We assembled and annotated complete mitochondrial genomes for two species, namely and which are proven vectors for Bluetongue Virus (BTV).
View Article and Find Full Text PDFObjectives: Objective of this work was to examine myomiR levels in plasma, skeletal muscle, and skeletal muscle cells of patients with idiopathic inflammatory myopathy (IIM), their interrelations with the disease-related clinical phenotypes and with the effects of the disease-modifying 6-month training-intervention.
Methods: Samples of vastus lateralis muscle (n = 12/13) and plasma (n = 20/21) were obtained from IIM patients and healthy controls, respectively. Muscle and plasma were obtained before and after a 6-month training-intervention in 7 patients.
While deep learning (DL) is used in patients' outcome predictions, the insufficiency of patient samples limits the accuracy. In this study, we investigated how transfer learning (TL) alleviates the small sample size problem. A 2-step TL framework was constructed for a difficult task: predicting the response of the drug temozolomide (TMZ) in glioblastoma (GBM) cell cultures.
View Article and Find Full Text PDFObjective: There is no standard clinical trial screening process in gynecologic oncology. In our low resource, highly diverse gynecologic oncology patient population, we sought to create an equitable, adaptable, manual screening process.
Methods: Our objective is to describe our clinical trial screening process and success in improving trial enrollment.