https://www.selleckchem.com/products/dt-061-smap.html Size-selected clusters are important model catalysts because of their narrow size and compositional distributions, as well as enhanced activity and selectivity in many reactions. Still, their structure-activity relationships are, in general, elusive. The main reason is the difficulty in identifying and quantitatively characterizing the catalytic active site in the clusters when it is confined within subnanometric dimensions and under the continuous structural changes the clusters can undergo in reaction conditions. Using machine learning approaches for analysis of the operando X-ray absorption near-edge structure spectra, we obtained accurate speciation of the CuxPdy cluster types during the propane oxidation reaction and the structural information about each type. As a result, we elucidated the information about active species and relative roles of Cu and Pd in the clusters.Inflammatory bowel disease (IBD) is commonly associated with iron deficiency anemia (IDA), with a multifactorial pathophysiology. Diagnosis of both IDA and IBD places patients at risk for poor quality of life, as well as increased hospitalization and healthcare utilization. Treatment of IDA involves iron repletion with either oral or intravenous iron products. When selecting therapy, the total expenses of care must be considered, including direct and indirect costs, as well as patient clinical outcomes.Inflammatory bowel disease (IBD) is associated with extraintestinal manifestations in more than one-quarter of patients. Anemia is one of the most common concerns. Patients with IBD and comorbid iron deficiency anemia (IDA) are at risk for hospitalization and surgery, and IDA impacts health-related quality of life. IDA in IBD is often underdiagnosed and undertreated. Prompt treatment has the potential to improve patient quality of life and clinical outcomes. Although the treatment goals for IDA in IBD are well-defined, selecting a treatment is