It is posited that the bimodal porous structure, with interconnected large (>50 µm) macrovoids in the through-plane direction and smaller ( less then 5 µm) pores throughout, provides a favorable balance between offsetting traits. Although nascent, the NIPS synthesis approach has the potential to serve as a technology platform for the development of porous electrodes specifically designed to enable electrochemical flow technologies.
The botanical origin of honey attracts both commercial and research interest. Consumers' preferences and medicinal uses of particular honey types drive the demand for the determination of their authenticity with regard to their botanical origin. This study presents the discrimination of thyme, multi-floral. and honeydew honeys by Fourier-transform infrared (FTIR) and ultraviolet (UV) absorption spectroscopy combined with multivariate statistical analysis. UV absorption spectroscopy was applied without any dilution of the sample using a custom-made cuvette. FTIR and UV absorption spectroscopic data were processed by means of the orthogonal partial least squares discriminant analysis.

The optimal classification of floral and honeydew honeys was accomplished with UV spectroscopy with a successful estimation of 92.65% for floral honey and 91.30% for honeydew honey. The discrimination of thyme versus the multi-floral honey was best achieved with FTIR, with a correct classification of 95.56% and 100% for multi-floral and thyme honey respectively. Furthermore, our findings revealed the region of 2400-4000 cm
of the FTIR spectra as the most significant for this discrimination.

This work demonstrates that optical spectroscopic techniques in combination with multivariate statistical analysis can be a rapid, low-cost, easy-to-use approach for the determination of the botanical origin of honey without sample pretreatment. © 2021 Society of Chemical Industry.
This work demonstrates that optical spectroscopic techniques in combination with multivariate statistical analysis can be a rapid, low-cost, easy-to-use approach for the determination of the botanical origin of honey without sample pretreatment. © 2021 Society of Chemical Industry.Currarino syndrome (CS) is an autosomal dominant syndrome caused by mutations in MNX1 and characterized by anorectal abnormalities, partial sacral agenesis, and presacral masses. The presacral masses are typically benign; however, malignant degeneration can occur, and presacral neuroendocrine tumors (NETs) have been reported in six cases. We report three individuals from two families affected by CS in which multiple individuals developed presacral NETs. The first family, 491, had six members with features of CS, including two siblings who presented with presacral, Grade 2 NETs, one of which had metastasized to bone and lymph nodes. A germline c.874C>T (p.Arg292Trp) mutation was found in a highly conserved region of MNX1 in three affected members who underwent sequencing. A second somatic variant/deletion in MNX1 was not detected in either patient's tumor. In the second family, 342, the proband presented with an incidentally discovered presacral NET. The proband's father had previously undergone resection of a presacral NET, and so genetic testing was performed, which did not reveal an MNX1 mutation or copy number variants. The lack of a second, somatic mutation in the tumors from family 491 argues against MNX1 acting as a tumor suppressor, and the absence of a germline MNX1 mutation in family 342 suggests that other genetic and anatomic factors contribute to the development of presacral NETs. These cases highlight the variable presentation of CS, and the potential for malignancy in these patients.Pediatric and adolesent patients with skin of color are seen by dermatologists for common complaints such as acne, atopic dermatitis, and traction alopecia. Combining the understanding of cultural practices, empathetic patient communication, and social implications is useful in counseling and treating pediatric and adolescent patients with skin of color.This study was aimed to produce of hawthorn vinegar to increase the usage area and consumability of the hawthorn fruit and benefit from its functional properties, and to reveal some bioactive compounds, occurred during vinegar production, the functional properties and the volatile compounds (VC). The results showed that the gallic acid was a prominent phenolic substance in both wine and vinegar, followed by the chlorogenic acid. The prominent VACs of the hawthorn vinegar were acetic acid, phenylacetic acid, acetoin, then, respectively, pentanoic acid, benzoic acid, (E)-isoeugenol, 2-cyclohexenone, propanoic acid, chavicol, and diethyl succinate. Within this study, hawthorn vinegar was produced as a new product that had a favorable volatile aroma compound profile and phenolic compounds with high bioactivity. Hawthorn vinegar that shown as an alternative way for the use of hawthorn fruit, its of whose functional and aromatic aspect was first revealed in detail. see more PRACTICAL APPLICATIONS Hawthorn is a seasonal fruit, which has potential to be economically important. It has rich bioactive compounds known to have a positive effect on health. However, organoleptic properties (astringent, grainy texture, etc.) of fresh hawthorn fruit are not be mostly liked among most of the consumers. This situation prevents benefiting from the positive effect of hawthorn fruit. For this reason, in this study, it was aimed to produce the hawthorn vinegar, which economically more valuable and also, more functional than fresh hawthorn fruit. According to the results of the present study, organoleptic, functional, and economic values of the hawthorn fruit were improved with the hawthorn vinegar produced in result of the fermentation process. So, it has been considered that this study is beneficial for consumers, scientist or food industry professionals as it guides to transform a low-economic food product to highly economic and functional food product.Within the challenging context of phase II dose-finding trials, longitudinal analyses may increase drug effect detection power compared to an end-of-treatment analysis. This work proposes cLRT-Mod, a pharmacometric adaptation of the MCP-Mod methodology, which allows the use of nonlinear mixed effect models to first detect a dose-response signal and then identify the doses for the confirmatory phase while accounting for model structure uncertainty. The method was evaluated through extensive clinical trial simulations of a hypothetical phase II dose-finding trial using different scenarios and comparing different methods such as MCP-Mod. The results show an increase in power using cLRT with longitudinal data compared to an EOT multiple contrast tests for scenarios with small sample size and weak drug effect while maintaining pre-specifiability of the models prior to data analysis and the nominal type I error. This work shows how model averaging provides better coverage probability of the drug effect in the prediction step, and avoids under-estimation of the size of the confidence interval.see more