In this study, dodecyl-methyl imidazolium dodecyl sulfonate ([CMIm][DS]) GUMBOS were synthesized and incorporated into alginate with γ-FeO to fabricate magnetic adsorbent beads ([C₁₂MIm][DS]-beads) for methylene blue (MB) removal. Characterization via ESI-MS, FT-IR, SEM, BET, and TGA confirmed their structure and properties. The beads achieved a maximum adsorption capacity of 4.
View Article and Find Full Text PDFAim: The Assessment of Burden of ColoRectal Cancer (ABCRC)-tool is an integrated tool, developed in conjunction with colorectal cancer (CRC) patients, that measures the experienced burden of disease and lifestyle parameters and visualizes the results. To provide tailored follow-up care for watch-and-wait (WW) patients, in line with their specific needs and preferences, a WW module for the ABCRC-tool was developed. In this paper we describe the development and validation process of the WW module.
View Article and Find Full Text PDFBackground: Older adults have highly heterogeneous aging rates.
Objective: To explore the association of biological age (BA) and accelerated aging with frailty in community-dwelling older adults.
Methods: We assessed 735 community-dwelling older adults from the Coyocan Cohort.
Ectoparasites affect the skin, causing different clinical manifestations through direct mechanical damage, blood consumption, pathogen transmission, hypersensitivity reactions, or toxin inoculation. Dermatological ultrasound is the imaging modality of choice to evaluate these superficial lesions, detecting submillimetric alterations in a non-invasive and innocuous way. This review helps the radiologist describe the imaging findings of lesions caused by mosquitoes, myiasis, bees, spiders, and scorpions, with suggestive ultrasound patterns.
View Article and Find Full Text PDFNon-Contact Atomic Force Microscopy with CO-functionalized metal tips (referred to as HR-AFM) provides access to the internal structure of individual molecules adsorbed on a surface with totally unprecedented resolution. Previous works have shown that deep learning (DL) models can retrieve the chemical and structural information encoded in a 3D stack of constant-height HR-AFM images, leading to molecular identification. In this work, we overcome their limitations by using a well-established description of the molecular structure in terms of topological fingerprints, the 1024-bit Extended Connectivity Chemical Fingerprints of radius 2 (ECFP4), that were developed for substructure and similarity searching.
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