Water soluble squaramide macrocycles (MSQs) display high sulfate binding affinities in aqueous DMSO mixtures. The introduction of pyridine spacers into the macrocycles resulted in increased sulfate binding affinity in comparison to compounds with benzene spacers. [3]MSQ 6 was found to be a selective ligand for SO42- in highly competitive conditions and over a wide pH range (3.2-14).
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http://dx.doi.org/10.1039/c9cc06812k | DOI Listing |
J Imaging Inform Med
January 2025
Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
Analysis of the symmetry of the brain hemispheres at the level of individual structures and dominant tissue features has been the subject of research for many years in the context of improving the effectiveness of imaging methods for the diagnosis of brain tumor, stroke, and Alzheimer's disease, among others. One useful approach is to reliably determine the midline of the brain, which allows comparative analysis of the hemispheres and uncovers information on symmetry/asymmetry in the relevant planes of, for example, CT scans. Therefore, an effective method that is robust to various geometric deformations, artifacts, varying noise characteristics, and natural anatomical variability is sought.
View Article and Find Full Text PDFSci Rep
January 2025
ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India.
The mutant waxy allele (wx1) is responsible for increased amylopectin in maize starch, with a wide range of food and industrial applications. The amino acid profile of waxy maize resembles normal maize, making it particularly deficient in lysine and tryptophan. Therefore, the present study explored the combined effects of genes governing carbohydrate and protein composition on nutritional profile and kernel physical properties by crossing Quality Protein Maize (QPM) (o2o2/wx1wx1) and waxy (o2o2/wx1wx1) parents.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA.
Climate change-related risk mitigation is typically addressed using cost-benefit analysis that evaluates mitigation strategies against a wide range of simulated scenarios and identifies a static policy to be implemented, without considering future observations. Due to the substantial uncertainties inherent in climate projections, this identified policy will likely be sub-optimal with respect to the actual climate trajectory that evolves in time. In this work, we thus formulate climate risk management as a dynamic decision-making problem based on Markov Decision Processes (MDPs) and Partially Observable MDPs (POMDPs), taking real-time data into account for evaluating the evolving conditions and related model uncertainties, in order to select the best possible life-cycle actions in time, with global optimality guarantees for the formulated optimization problem.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
Rare Diseases Department, General Directorate of Health Services, Turkish Ministry of Health, Ankara, Türkiye.
Simulation-based approaches for setting indirect outcome-based analytical performance specifications (APS) predominantly involve test repetition through analytical reruns or resampling. These methodologies assess the agreement between original and simulated measurement results, determining the APS corresponding to pre-established performance thresholds. For APS related to imprecision and bias, both analytical performance characteristics (APCs) are typically considered in simulations, whereas for APS regarding measurement uncertainty, bias is excluded in alignment with traceability standards.
View Article and Find Full Text PDFNeurosci Biobehav Rev
January 2025
Department of Psychology & Waisman Center, University of Wisconsin - Madison, 1500 Highland Av, Madison WI, 53705.
Extreme and chronic adverse experiences in childhood are linked to disruptions in a wide range of behavioral processes, including self-regulation, increased risk taking, and impulsivity. One proposed mechanism for these effects is alterations in how children learn and use information about rewards and risk in their environment. This type of decision making is a complex and multifaceted process consisting of distinct subcomponents, each of which may have varying effects on behavior.
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