Caspersenwelch9361

The method applied for COVID-19 diagnosis showed specificity >96% and sensitivity >83%, and specificity >80% and sensitivity >85% during risk assessment, both from blinded data. Our method introduced a new approach for COVID-19 screening, providing the indirect detection of infection through metabolites and contextualizing the findings with the disease's pathophysiology. The pairwise analysis of biomarkers brought robustness to the model developed using machine learning algorithms, transforming this screening approach in a tool with great potential for real-world application.A generalization of the modeling equation of optical band gap values for ternary oxides, as a function of cationic ratio composition, is carried out based on the semiempirical correlation between the differences in the electronegativity of oxygen and the average cationic electronegativity proposed some years ago. In this work, a novel approach is suggested to account for the differences in the band gap values of the different polymorphs of binary oxides as well as for ternary oxides existing in different crystalline structures. A preliminary test on the validity of the proposed modeling equations has been carried out by using the numerous experimental data pertaining to alumina and gallia polymorphs as well as the crystalline ternary Ga(1-x)Al x O3 polymorphs (α-Ga(1-x)Al x O3 and β-Ga(1-x)Al x O3) covering a large range of optical band gap values (4.50-8.50 eV). To make a more rigorous test of the modeling equation, we extended our investigation to amorphous ternary oxides anodically formed on Al-d-metal alloys (Al-Nb, Al-Ta, and Al-W) covering a large range of d-metal composition (xd-metal ≥ 0.2). In the last case, the novel approach allows one to overcome some difficulties experienced in fitting the optical band gap dependence from the Al-d-metal mixed anodic oxide composition as well as to provide a rationale for the departure, at the lowest d-metal content (xd-metal less then 0.2), from the behavior observed for anodic films containing higher d-metal content.In March 2020, the SARS-CoV-2 virus outbreak was declared as a world pandemic by the World Health Organization (WHO). The only measures for controlling the outbreak are testing and isolation of infected cases. Molecular real-time polymerase chain reaction (PCR) assays are very sensitive but require highly equipped laboratories and well-trained personnel. In this study, a rapid point-of-need detection method was developed to detect the RNA-dependent RNA polymerase (RdRP), envelope protein (E), and nucleocapsid protein (N) genes of SARS-CoV-2 based on the reverse transcription recombinase polymerase amplification (RT-RPA) assay. RdRP, E, and N RT-RPA assays required approximately 15 min to amplify 2, 15, and 15 RNA molecules of molecular standard/reaction, respectively. RdRP and E RT-RPA assays detected SARS-CoV-1 and 2 genomic RNA, whereas the N RT-RPA assay identified only SARS-CoV-2 RNA. All established assays did not cross-react with nucleic acids of other respiratory pathogens. The RT-RPA assay's clinical sensitivity and specificity in comparison to real-time RT-PCR (n = 36) were 94 and 100% for RdRP; 65 and 77% for E; and 83 and 94% for the N RT-RPA assay. The assays were deployed to the field, where the RdRP RT-RPA assays confirmed to produce the most accurate results in three different laboratories in Africa (n = 89). limertinib EGFR inhibitor The RPA assays were run in a mobile suitcase laboratory to facilitate the deployment at point of need. The assays can contribute to speed up the control measures as well as assist in the detection of COVID-19 cases in low-resource settings.The red phosphorus (RP) anode has attracted great attention due to its high theoretical specific capacity (2596 mAh/g) and suitable lithiation potential. To solve the inherent poor electrical conductivity and the large volume expansion due to the lithiation process, a vaporization-condensation strategy is considered as a promising method. However, there are two important issues that deserve attention in the vaporization-condensation process. First, the low P mass loading in the carbon-based frameworks (∼30 wt %) limits the energy density. Second, a residual white phosphorus (WP) leads to the safety problems of flammability and high toxicity. Herein, we found that the edge structure of carbon framework can offer the strong adsorption for P4 and form a P-C bond, which accelerate the adsorption and polymerization of P4 leading to high P mass loading and safety. When the porous carbon (PC) with plenty of edge carbons was used as the matrix to load P by vaporization-condensation, the RP loading is close to the highest theoretical mass loading of ∼50 wt % calculated based on the feeding ratio of RP/PC = 1/1. Therefore, the RP-PC anode provides a high specific capacity of 965.2 mAh/g even after 1100 cycles at 1000 mA/g (equivalent to 1 C) and a high-rate capacity of 496.8 mAh/g at 8320 mA/g (equivalent to 16.7 C) after 1000 cycles (the specific capacity and current density are calculated based on the total weight of RP and PC).G-Quadruplex (G4) is a noncanonical nucleic acid secondary structure with multiple biofunctions. Identifying G4-related proteins (G4RPs) is important for understanding the roles of G4 in biology. Current methods to identify G4RPs include discovery from specific biological processes or in vitro pull-down assays with specific G4 sequences. Here, we report an in vivo strategy used to identify G4RPs with extensive sequence tolerance based on G4 ligand-mediated cross-linking. Applying this method, we identified 114 and 281 G4RPs in SV589 and MM231 cells, respectively. The results successfully overlapped with all the pull-down assay literature. Through the electrophoretic mobility shift assay (EMSA), we identified some new G4-binding proteins. Moreover, enhanced cross-linking and immunoprecipitation (eCLIP) confirmed that one newly identified G4-binding protein, SERBP1, interacts with G4 in the cellular environment. The method we developed provides a new strategy for identifying proteins that interact with nucleic secondary structures in cells and benefit the study of their biological roles.Biomineralization occurs in aqueous environments. Despite the ubiquity and relevance of CaCO3 biomineralization, the role of water in the biomineralization process has remained elusive. Here, we demonstrate that water reorganization accompanies CaCO3 biomineralization for sea urchin spine generation in a model system. Using surface-specific vibrational spectroscopy, we probe the water at the interface of the spine-associated protein during CaCO3 mineralization. Our results show that, while the protein structure remains unchanged, the structure of interfacial water is perturbed differently in the presence of both Ca2+ and CO32- compared to the addition of only Ca2+. This difference is attributed to the condensation of prenucleation mineral species. Our findings are consistent with a nonclassical mineralization pathway for sea urchin spine generation and highlight the importance of protein hydration in biomineralization.Synthetic biology-based approaches have been employed to generate advanced natural product (NP) pathway intermediates to overcome obstacles in NP drug discovery and production. Type II polyketides (PK-IIs) comprise a major subclass of NPs that provide attractive structures for antimicrobial and anticancer drug development. Herein, we have assembled five biosynthetic pathways using a generalized operon design strategy in Streptomyces coelicolor M1152 to allow comparative analysis of metabolite production in an improved heterologous host. The work resulted in production of four distinct PK-II core structures, namely benzoisochromanequinone, angucycline, tetracenomycin, and pentangular compounds, which serve as precursors to diverse pharmaceutically important NPs. Our bottom-up design strategy provided evidence that the biosynthetic pathway of BE-7585A proceeds via an angucycline core structure, instead of rearrangement of an anthracycline aglycone, and led to the discovery of a novel 26-carbon pentangular polyketide. The synthetic biology platform presented here provides an opportunity for further controlled production of diverse PK-IIs in a heterologous host.To reduce the incidence of recreational waterborne illness, fecal indicator bacteria (FIB) are measured to assess water quality and inform beach management. Recently, predictive FIB models have been used to aid managers in making beach posting and closure decisions. However, those predictive models must be trained using rich historical data sets consisting of FIB and environmental data that span years, and many beaches lack such data sets. Here, we investigate whether water quality data collected during discrete short duration, high-frequency beach sampling events (e.g., samples collected at sub-hourly intervals for 24-48 h) are sufficient to train predictive models that can be used for beach management. We use data collected during six high-frequency sampling events at three California marine beaches and train a total of 126 models using common data-driven techniques. Tide, solar irradiation, water temperature, significant wave height, and offshore wind speed were found to be the most important environmental variables in the models. We validate the predictive performance of models using withheld data. Random forests are consistently the top performing model type. Overall, we find that data-driven models trained using high-frequency FIB and environmental data perform well at predicting water quality and can be used to inform public health decisions at beaches.Two-dimensional II-VI semiconductor nanoplatelets (NPLs) present exceptionally narrow optical features due to their thickness defined at the atomic scale. Because thickness drives the band-edge energy, its control is of paramount importance. Here, we demonstrate that native carboxylate ligands can be replaced by halides that partially dissolve cadmium chalcogenide NPLs at the edges. The released monomers then recrystallize on the wide top and bottom facets, leading to an increase in NPL thickness. This dissolution/recrystallization method is used to increase NPL thickness to 9 ML while using 3 ML NPLs as the starting material. We also demonstrate that this method is not limited to CdSe and can be extended to CdS and CdTe to grow thick NPLs. When the metal halide precursor is introduced with a chalcogenide precursor on the NPLs, CdSe/CdSe, CdTe/CdTe, and CdSe/CdTe core/shell homo- and heterostructures are achieved. Finally, when an incomplete layer is grown, NPLs with steps are synthesized. These stress-free homostructures are comparable to type I heterostructures, leading to recombination of the exciton in the thicker area of the NPLs. Following the growth of core/crown and core/shell NPLs, it affords a new degree of freedom for the growth of structured NPLs with designed band engineering, which has so far been only achievable for heteromaterial nanostructures.We present a mold-free high-resolution nanopatterning technology named piezo-actuated one-axis vibrational patterning (POP) that enables continuous and scalable fabrication of micro- and nanopatterns with precisely programmable periods and dimensions. POP utilizes the piezoelectric stack-actuated high-precision uniaxial vibration of a flat, pattern-free rigid tool edge to conduct sub-50 nm-periodic indentations on various compliant substrates laterally fed underneath. By controlling the tool vibration frequency, tool temperature, and substrate feed rate and by combining sequential tool strokes along multiple directions, diverse functional micro- and nanopatterns with variable periods and depths and multidimensional profiles can be continuously created without resorting to mold prefabrication. With its simple but universal principle, excellent scalability, and versatile processability, POP can be practically applied to many functional devices particularly requiring large-area micro- and nanopatterns with specifically designed periods and dimensions.