2-[(4-Chloro­phen­yl)(2-hy­droxy-5-oxo­cyclo­pent-1-en-1-yl)meth­yl]-3-hy­droxy­cyclo­pent-2-en-1-one

There are two mol­ecules in the asymmetric unit of the title compound, C17H15ClO4, in which the dihedral angles between the five-membered rings are 57.3 (1) and 51.4 (1)°. An intra­molecular O—H⋯O hydrogen bond occurs in each mol­ecule. In the crystal, O—H⋯O and C—H⋯O hydrogen bonds link the moleclues into chains along the b axis

Regional Urban Extent Extraction Using Multi-Sensor Data and One-Class Classification

Stable night-time light data from the Defense Meteorological Satellite Program (DMSP) Operational Line-scan System (OLS) provide a unique proxy for anthropogenic development. This paper presents a regional urban extent extraction method using a one-class classifier and combinations of DMSP/OLS stable night-time light (NTL) data, MODIS normalized difference vegetation index (NDVI) data, and land surface temperature (LST) data. We first analyzed how well MODIS NDVI and LST data quantify the properties of urban areas. Considering that urban area is the only class of interest, we applied the one-class support vector machine (OCSVM) to classify different combinations of the three datasets. We evaluated the effectiveness of the proposed method and compared with the locally optimized threshold method in regional urban extent mapping in China. The experimental results demonstrate that DMSP/OLS NTL data, MODIS NDVI and LST data provide different but complementary information sources to quantify the urban extent at a regional scale. The results also indicate that the OCSVM classification of the combination of all three datasets generally outperformed the locally optimized threshold method. The proposed method effectively and efficiently extracted the urban extent at a regional scale, and is applicable to other study areas

Immobilization of Genetically-Modified d-Amino Acid Oxidase and Catalase on Carbon Nanotubes to Improve the Catalytic Efficiency

d-amino acid oxidase (DAAO) and catalase (CAT) have been genetically modified by fusing them to an elastin-like polypeptide (ELP). ELP-DAAO and ELP-CAT have been separately immobilized on multi-walled carbon nanotubes (MWNTs). It has been found that the secondary structures of the enzymes have been preserved. ELP-DAAO catalyzed the oxidative deamination of d-alanine, and H2O2 was evolved continuously. When the MWNT-supported enzymes were used together, the generated hydrogen peroxide of ELP-DAAO could be decomposed in situ. The catalytic efficiency of the two immobilized enzymes was more than five times greater than that of free ELP-DAAO when the ratio of immobilized ELP-CAT to immobilized ELP-DAAO was larger than 1:1

A Novel Hybrid Polymer Network for Efficient Anticorrosive and Antibacterial Coatings

By in situ simultaneous polymerization of dopamine and hydrolytic polycondensation of 3-aminopropyltriethoxysilane in an aqueous solution, a novel hybrid polymer network coating on stainless steel was formed. The polydopamine and silica hybrid polymer (PDSHP) adhered strongly on the surface of stainless steel. The PDSHP film provides active catechol and primary amine groups. Branched polyethylenimine was grafted based on the PDSHP film. The structure and morphology of the multilayer coating were characterized by attenuated total reflectance Fourier transform infrared spectroscopy reflectance, X-ray photoelectron spectroscopy, and atomic force microscopy and scanning electron microscopy images. The coatings on the stainless steel substrates exhibited anticorrosion of seawater. By making use of the primary amine groups on the multilayer coating, a biocidal agent 3-chloro-2- hydroxypropyl­trimethyl­ammonium chloride (CHPTAC) was grafted. The grafted CHPTAC was effective in killing bacteria, extending the multilayer polymer coating with biocidal functionality

Sex differences in the association between dual-energy x-ray absorptiometry-measured body composition and periodontitis

Background: A positive association between obesity based on body mass index (BMI) and periodontitis has been reported. Fat tissue-related systemic inflammation acts as the link to periodontal comorbidities of obesity. However, the BMI is unable to distinguish fat and fat-free tissues. More precise measures are required to evaluate body composition, including fat and fat-free tissues. This study aimed to determine the sex differences in the association between dual-energy x-ray absorptiometry (DXA)-measured body composition (i.e., fat mass and muscle mass) and phenotypes with periodontitis. Methods: Cross-sectional data of 3892 participants from the National Health and Nutrition Examination Survey (NHANES) study 2011‒2014 were analyzed. Adiposity indices (fat mass index [FMI] and percentage body fat [%BF]) and muscle mass index (MMI) were calculated. The participants were categorized by the quintiles of FMI, MMI, and %BF. Body composition phenotypes were categorized as: low adiposity-low muscle (LA-LM), low adiposity-high muscle (LA-HM), high adiposity-low muscle (HA-LM), or high adiposity-high muscle (HA-HM), respectively. Periodontitis was defined by the CDC/AAP (Centers for Disease Control and Prevention/American Academy of Periodontology) criteria. Multivariable logistic regression analysis was conducted, stratified by sex. We further adjusted for white blood cell (WBC) counts in the sensitivity analysis. Results: Restricted cubic splines revealed non-linear associations between body composition indices and periodontitis risk. Women with a higher FMI (odds ratio for Q5 vs. Q1 [ORQ5vs1] = 1.787, 95% confidence interval: 1.209–2.640) or %BF (ORQ5vs1 = 2.221, 1.509–3.268) had increased odds of periodontitis. In addition, women with HA-LM phenotype were more likely to develop periodontitis (OR = 1.528, 1.037–2.252). Interestingly, the WBC count, a systemic inflammatory biomarker, attenuated these associations. No statistically significant associations were found in men. Conclusions: The association between DXA-measured body composition and phenotypes with periodontitis differs per sex. Only in women higher adiposity indices and HA-LM phenotype were associated with an increased risk of periodontitis